Vertex AI Streaming Ingestion allows for real-time AI

 

 

Vertex AI Streaming Ingestion allows for real-time AI
Near-real-time predictions are required for many machine learning (ML), use cases such as fraud detection, ad targeting, recommendation engines,  and other areas. These predictions are dependent on having access to the latest data. Even a few seconds delay can make a big difference in performance. It’s not easy to create the infrastructure necessary to support high-throughput updates as well as low-latency retrieval.

Vertex AI Search Engine, and Feature Library will now support real-time streaming ingestion. Streaming Ingestion is a fully managed vector database that allows for vector similarity searches. Items in an index are continuously updated and reflected immediately in similarity search results. Streaming Ingestion can be used to retrieve the most recent feature values and extract real-time data for training.

Digits has taken advantage of Vertex Ai Matching Engine Streaming Ingestion in order to power their product, Boost. This tool saves accountants’ time and automates manual quality control. Digits Boost is now able to provide analysis and features in real-time thanks to Vertex AI Matching Engine Streaming Ingestion. Prior to Matching Engine transactions were classified according to a 24-hour batch schedule.

However, with Matching Engine streaming ingestion, we are able perform near-real time incremental indexing activities such as inserting, updating, or deleting embedded embeddings on existing indexes. This has helped us speed up our process. “Now we can provide immediate feedback to our customers and handle more transactions more quickly,” stated Hannes Hapke (machine learning engineer at Digits).

This blog post explains how these new features improve predictions and allow near-real-time use cases such as recommendations, content personalization and cybersecurity monitoring.

Streaming Ingestion enables real-time AI

Organizations are realizing the potential business benefits of predictive models that use up-to-date information, and more AI applications are being developed. Here are some examples.

Real time recommendations and a marketplace. Mercari has added Streaming Ingestion to their existing Matching Engine product recommendations. This creates a real-time market where users can search products based upon their interests and are updated immediately when new products are added. It will feel like shopping at a farmer’s market in the morning. Fresh food is brought in while you shop.

Mercari’s Matching Engine filtering capabilities and Streaming Ingestion can be combined to determine whether an item should appear in search results. This is based on tags like “online/offline” and “instock/nostock”.
Large-scale personalized streaming: You can create pub-sub channels for any stream of content that is represented with feature vectors. This allows you to select the most valuable content according to each subscriber’s interests.

Matching Engine’s scalability (i.e. it can process millions upon queries per second) means that you can support millions online subscribers to content streaming. You can also serve a wide range of topics that change dynamically because it is highly scalable. Matching Engine’s filtering capabilities allow you to control what content is included by assigning tags like “explicit”, “spam” and other attributes to each object.

Feature Store can be used as a central repository to store and serve the feature vectors of your contents in close real-time.

Monitoring – Content streaming can be used to monitor events and signals from IT infrastructures, IoT devices or manufacturing production lines. You can, for example, extract signals from millions sensors and devices and turn them into feature vectors.

Matching Engine allows you to update in near real-time a list “top 100 devices with defective signals” or “top 100 sensor events that have outliers”

Spam detection: Matching Engine can instantly identify potential attacks from millions upon millions of monitoring points if you’re looking for security threat signatures and spam activity patterns. Security threat identification that relies on batch processing can have significant delays, making the company more vulnerable. Your models can detect threats and spams more quickly with real-time data.

Implementing streaming use cases

Let’s look closer at some of these use cases.

Retailers get real-time advice
Mercari created a feature extraction pipeline using Streaming Ingestion.

To initiate the process, the feature extraction pipeline is called Vertex AIP Pipelines. It is periodically invoked by Cloud Scheduler or Cloud Functions.

Get item information: The pipeline issues an query to retrieve the latest item data from BigQuery.

Extract feature vector The pipeline makes predictions on the data using the word2vec modeling to extract feature vectors.

Update index The pipeline calls Matching engine APIs to to add feature vectors to the Vector Index. Also, the vectors can be saved to Bigtable (and may be replaced by Feature Store in future).

“We were pleasantly surprised by the extremely short latency for index updates when we tested the Matching Engine Streaming Ingestion. Nogami Wakana (a software engineer at Souzoh, a Mercari-group company) stated that they would like to add the functionality to their production service as soon it becomes GA.

This architecture design is also applicable to retail businesses that require real-time product recommendations.

Ad targeting

Real-time features, item matching and the latest information are key to ad recommender systems. Let’s look at how VertexAI can help you build an ad targeting system.

First, generate a list of candidates from the advertisement corpus. This is difficult because you need to generate relevant candidates in milliseconds. Vertex AI Matching engine can be used to generate relevant candidates and perform low-latency vector similarity matches. Streaming Ingestion is also available to keep your index up-to-date.

The next step is to rerank the candidate selection with a machine-learning model in order to ensure you have the right order of ad applicants. To ensure that the model uses the most recent data, you can use Feature Store Streaming ingestion to import the most recent features and use online to serve feature values at low latency to improve precision.

Final optimizations can be applied after reranking ads candidates. You can implement the optimization step using a

GKE Networking Basics – Understanding the basics of networking

 

This article will discuss the networking components of Google Kubernetes engine (GKE). We’ll also explore the many options available. Kubernetes, an open-source platform for managing containerized workloads or services, and GKE, a fully managed environment to run Kubernetes on Google Cloud infrastructure.

IP address

Kubernetes uses IP addresses and ports for communication between various network components. IP addresses are unique addresses that identify different components of the network.

Components

  • Containers – These components are essential for the execution of application processes. A pod can contain one or more containers.
  • Pods – A group of containers that can be physically grouped together. Nodes are assigned to pods.
  • Nodes – Nodes can be described as worker machines within a cluster, which is a collection of nodes. A node runs zero or more pods.

Services

  • ClusterIP – These addresses can be assigned to a particular service.
  • Load Balancer – This balances the internal and external traffic to cluster nodes.
  • Ingress – Loadbalancer that handles HTTP(S).

The IP addresses are assigned by subnets to components and services. Variable length subnet masks (VLSM) are used to create CIDR blocks. The subnet mask determines how many hosts are available on a subnet.

Google Cloud uses 2 n– 4 for the calculation of available hosts. This is not the formula used for on-premise networks.

This is how the flow of IP address assignments looks:

  • Cluster’s VPC network assigns IP addresses to nodes
  • The Node IPv4 block automatically assigns internal load balancer IP addresses. You can specify a range to your Loadbalancers, and then use the loadBalancerIP option for that address.
  • The addresses assigned to pods come from a list of addresses that have been issued to the pods on that particular node. 110 pods are the default maximum allowed per node. This number is multiplied with 2 to allocate an address. (110*2=220). The nearest subnet is then used. /24 is the default. This creates a buffer to allow for scheduling the pods. This limit can be set at creation.
  • Containers share the IP addresses of the Pods that they are running on.
  • The address pool that is reserved for services includes service (Cluster IP), addresses.

You can see an example of how to plan and scope address ranges in the IP addresses for VPC native clusters section.

Domain Naming System

DNS allows for name to IP address resolution. This allows services to automatically create name entries. GKE offers several options.

  • kube-dns – Kubernetes native add-on service. Kube-dns can only be run on a deployment which is accessible via a cluster IP. This service is used by default for DNS queries by pods within a cluster. This document explains how it works.
  • Cloud DNS – This is Google Cloud DNS managed services. This service can be used for managing your cluster DNS. Cloud DNS has some advantages over kube DNS:
    • This reduces the administration of a cluster-hosted DNS Server.
    • Local resolution of DNS for GKE nodes. This is achieved by caching local responses, which allows for both speed and scaleability.
    • Integrates with Google cloud Operations monitoring suite.

Service Directory can also be integrated with GKE or Cloud DNS to manage services through namespaces.

The gke-networking-recipes github repo has some Service Directory examples you can try out for Internal LoadBalancers, ClusterIP, Headless & NodePort.

You can learn more about DNS options in GKE by reading the article DNS on GKE: Everything that you need to know.

Load Balancing

These devices control access and distribute traffic over clutter resources. GKE offers several options:

  • Internal Load Balancers
  • External load balancers

Ingress

They handle HTTP(S), traffic to your cluster. They use the Ingress resource type. This creates an HTTP(S), load balancer for GKE. To ensure that the address does not change, you can assign a static address to the loadbalancer when configuring.

GKE allows you to provision both internal and external Ingress. These guides will show you how to configure GKE.

  • Ingress configuration for internal HTTP(S), load balancing
  • External load balancing

GKE allows you container native load balancing that directs traffic directly towards the pod IP via Network Endpoint groups (NEGs).

Service routing

These are the main points you need to know about this topic.

  • Frontend This exposes your service to clients via a frontend that allows traffic to be accepted based on different rules. This could be either a static IP address or a DNS name.
  • Load Balancing Once traffic has been allowed, the load balancer allocates resources to the requested request according to rules.
  • Backend There are many endpoints that can also be used in GKE.

Operation

GKE offers many ways to design your clusters network.

  • Standard This mode gives the administrator the ability to manage the clusters’ underlying infrastructure. If you require greater control and responsibility, this mode is for you.
  • Autopilot GKE provides and manages the cluster’s underlying infrastructure. This configuration is ready for use and allows you to have some hand-off management.
  • Private cluster This allows only internal IP connections. Clients need to be able to access the internet (e.g. Cloud NAT is a way to provide clients with access to the internet (e.g. for updates).
  • Private Access (Lets your VPC connect with service producer via private Ip addresses. Private-Service Connect, Allows private consumption across VPC networks.

Bringing everything together

Here is a brief, high-level overview.

  • Your cluster assigns IP addresses to different resources
    • Nodes
    • Pods
    • Containers
    • Services
  • These IP addresses are reserved for various resource types. Subnetting allows you to adjust the size of the range to suit your needs. It is a good idea to limit external access to your cluster.
  • By default, pods can communicate with each other across the cluster.
  • A service is required to expose pod-running applications.
  • Services are assigned cluster IPs.
  • You can either use kube-dns for DNS resolution or Google Cloud DNS within your GKE Cluster.
  • External and internal load balancers can both be used with your cluster to distribute traffic and expose applications.
  • Ingress handles HTTP(S). This uses the HTTP(S) loadbalancing service of Google cloud. Ingress can be used to create internal or external configurations.

Google Cloud enables smarter and greener energy use

 

Energy bills are a rising expense and consumers are currently facing difficult times. The climate crisis isn’t over. But, sustainability is still a top priority for consumers and businesses. 40% of UK’s emissions are from homes, which include electricity, heating, transport, and other energy-related activities. People often don’t have the time or resources necessary to research and test many ways to save energy while simultaneously trying to meet multiple demands. Kaluza has made it our mission, to help people save money while reducing their household emissions.

Born out of OVO Energy back in 2019, Kaluza is a software-as-a-service company that helps to accelerate the shift to a zero carbon world. Our Kaluza Energy Retail product allows energy companies to put their customers in the center of this transformation by giving them real-time insight that can help lower their bills. Kaluza Flex’s advanced algorithms allow you to charge millions of smart devices at the most affordable and sustainable price. Kaluza partners with some of the largest energy and OEM companies in the world, including AGL in Australia, Fiat, Nissan and Chubu in Japan.

Use Google Cloud data to help 2030 carbon negative goal

We want to stop the production of 10,000,000 tons of CO2 by 2030. This will be achieved by reaching 100,000,000 energy users and reducing 50% of our energy retail clients’ costs to serve. That’s just half. We want to dramatically reduce our emissions as we accelerate the energy transition for customers. We are committed to being carbon neutral by 2030, even as the world rushes towards net zero.

However, we cannot reduce what we don’t measure. To track the effect of cloud usage, we have created an internal carbon footprint tool. The technology stack of our company spans multiple cloud estates, making it easy to obtain emissions data from Google Cloud apps – thanks to the carbon footprint solution.

We get half-hourly information about our electricity usage for every process that we run on Google Cloud. This allows us to pinpoint the carbon emissions of each process we run on Google Cloud. These insights helped us create Kaluza’s carbon footprint tool. We use this information to combine data from all our cloud providers and create more effective dashboards which have been invaluable for our data team.

Green Development: Reduce emissions by 97%

Our carbon emissions tool allows us to get down to the details of data. This allows them to identify what is driving their carbon footprint and how they can address it. This is where the fun begins, as better data can translate into real sustainability projects. We have launched two large-scale initiatives so far.

Green Software Development is the first. A Green Development Handbook has been created. It contains best practices and guides that software engineers and developers can use to make their software more sustainable. We were able to combine a number large BigQuery questions into one query at a more convenient time and place, which resulted in a 97% decrease in emissions. This means that we have reduced the amount CO2 by 6kg every time we run this query. This is just one of the many ways we are making a difference.

Cloud infrastructure efficiency can be improved

Our second major initiative is about our cloud infrastructure. One of the most efficient and effective ways to reduce carbon emissions is to choose a cleaner cloud or a cleaner region in which to run workloads. Google Cloud provides carbon data for all regions. This data includes the hourly average carbon-free energy consumption in the location and the grid carbon intensity for the local electricity grid.

We can find cloud waste by digging into data and take corrective action. While many of our workloads must run continuously throughout the day, they don’t all have to run at specific times. This opens up the possibility of optimization. To understand the state and performance of our workloads, we are using data from Google Cloud. Combining this information with the grid’s carbon intensity data, we can identify and reschedule workloads at lower intensity times and have a positive effect on Kaluza’s emissions.

Data to empower people to make an impact

One thing unites many of our sustainability projects: They are bottom-up initiatives that were developed with and by our team. We have emissions data at our disposal so we organize hackathons and Green Development days to encourage action and test new ideas.

Our core mission is to make sustainability accessible and actionable for everyone. We’re now bringing the same idea to our teams. It has been encouraging to hear the feedback. One of our employees stated that he now understands the impact his role has on Kaluza’s sustainability and the future of the planet. Our company is putting sustainability at its core by giving our employees the ability to take climate action. We can also encourage our employees to create stronger solutions for carbon savings by showing them the direct effects of their work.

Making electric cars more sustainable by becoming green power stations

Kaluza offers many opportunities to make a positive impact. One of our sustainability pillars is our internal pledge to reduce carbon emissions and pass these savings onto our energy retail clients. Google Cloud solutions are also being used for other exciting projects such as the first and largest domestic vehicle to grid (V2G), technology deployment that OVO Energy and Nissan is leading.

With V2G, drivers are able to charge their electric cars when there is plenty of renewable energy and then sell it back the grid when there’s not enough. We’re turning millions of cars into batteries by analyzing the grid and vehicle data with Google Cloud. This will help drivers make hundreds of pounds per year, while also making the system more sustainable. This could help reduce peak grid stress by up to 40% in a market like California.

Together, we can power the future of energy

Kaluza uses technology to simplify the energy transition for clients and customers, from homes to cars and everywhere in between. We are excited to continue working with Google Cloud to grow our business and provide new energy solutions. We are determined to be a leader in sustainability and have found a cloud vendor that shares our sustainability goals. We are building a world where net Zero is within everyone’s reach.

How CISOs must adapt their mental models to cloud security

Security leaders often go into the cloud with a lot of tools, practices, and skills. They also have mental models that are based on the premise. This can lead to efficiency and cost problems. It is possible to map their mental models to the cloud.

It is helpful to look at the types of threats that each cybersecurity model is trying to detect or block when trying to understand the differences between cloud and on-premises models.

On-premise threats were traditionally focused on data theft from corporate databases and file storage. These resources are best protected with layers of network, endpoint and sometimes application security controls. The corporate data crown jewels, or “crown jewels”, were not accessible via an API to the outside world. They were stored in publicly-accessible storage buckets. Other threats were also created to disrupt operations and deploy malware for different purposes. These could include outright theft or holding ransom data.

Some threats are specific to the cloud. Bad actors will always try to exploit the cloud’s ubiquitous nature. They scan IP addresses for open storage buckets and internet-exposed compute resources.

Gartner explains that cloud security requires major changes in strategy compared to how we protect on-prem data centres. To protect critical cloud deployments, processes, tools, and architectures must be developed using cloud-native methods. It is important to understand the security responsibilities of your cloud service provider and your company when you start cloud adoption. This will make you less vulnerable to attacks on cloud resources.

Cloud security transformations are a great way to better prepare CISOs for today’s threats, tomorrow and beyond. But they require more than a plan and a few projects. Cybersecurity team leaders and CISOs need to create new mental models to think about security. This will require you to translate your existing security knowledge into cloud realities.

To set the stage for this discussion, let’s define what “cloud native” is. Cloud native architecture is one that makes the most of the flexibility, distributed, scalable and flexible nature of public clouds. Although the term implies that one must be born in the cloud, we are not trying to be exclusive. A better term might be “cloud-focused” which means doing security “the cloudy’ way.

However we define it, adopting cloud is a way to maximize your focus on writing code, creating business value, and keeping your customers happy while taking advantage of cloud-native inherent properties–including security. It is possible to transfer legacy errors, which predate cloud by decades, into future cloud environments by simply lifting-and-shifting your existing security tools and practices to the cloud.

Cloud-native refers to removing layers of infrastructure such as network servers, security appliances, and operating systems. It is about modern tools that are cloud-native and designed for cloud computing. Another way to look at it is that you won’t have to worry about these things as you build code to make your life easier. This is the key to success. Security will follow the DevOps and SRE revolutions in IT.

This thinking can be extended to cloud native security. In this scenario, some of your existing tools are combined with solutions offered by cloud service providers. You can take advantage of cloud-native architecture to protect what’s built in the cloud. We’ve already discussed the differences between targeted threats on-prem and those targeting cloud infrastructure. Here are some other important areas that you should reevaluate when considering a cloud security mental model.

Network security

Some companies treat the cloud like a rented data centre for network security. Many of the traditional methods that worked well for decades on-premise are not suitable for cloud computing.

Concepts like a Demilitarized Zone (DMZ), can be adapted for today’s cloud environments. A modern approach to DMZ could use microsegmentation to control access for identity within context. You have strong control by ensuring that the right identity has access to the right resource in the right context. Even if you make a mistake, microsegmentation is able to limit the breach blast radius.

Cloud native organizations also encourage the use of new approaches to enterprise network security such as BeyondProd. Organizations also benefit from it because they can focus on who and what has access to your services, rather than where the requests originated.

Cloud adoption can have a profound impact on network security, but not all areas will change in the same manner.

Endpoint security

The concept of security endpoints changes in the cloud. It’s like a virtual server. What about containers? What about microservices? Software as a Service cloud model doesn’t have an end point. Users only need to be aware of what happens where along the cloud security path.

This mental model can be helpful: An API can be thought of as a type of endpoint. Cloud APIs can also benefit from some of the security thinking that was developed for endpoints. While the concepts of access security, permissions and privileged access can be transferred, they cannot be used for maintenance of an endpoint operating system.

Insecure agents can pose a risk to their clients even if they have been automated to work on virtual machines in a cloud environment. Example: The Microsoft Azure cross-tenant vulnerability highlighted an entirely new type of risk. It was not even known to many customers.

This is why, among the many endpoint security options, some vanish (such patching operating system for SaaS or PaaS), others survive (such the need to secure privilege access), and still others are transformed.

Response and detection

A move to the cloud will bring changes in the threat landscape and the way you respond to them. It is possible to use on-prem detection technology and methods as a foundation for future developments. It won’t help reduce risk in the way most cloud-first companies will require.

The cloud offers the chance to rethink your security goals, including availability, reliability, confidentiality, integrity, and integrity.

Cloud is distributed, immutable, API-driven and automatically scalable. It also focuses on the identity layer. There are often ephemeral workloads that were created for a specific task. These factors all impact how you manage cloud threat detection and require new detection methods.

Six domains are the best for detecting cloud threats: API, managed services and network. These cover network, identity and compute as well as container infrastructure. These devices also have specific detection mechanisms that allow for API access logs, network traffic captures, and API access logs.

Some approaches are less important than others (e.g. network IDS on encrypted connections), while others can increase in importance (such detecting access anomalies), and others transform (such detecting threats from backplane providers).

Data security

The cloud is changing the way we think about data security.

Cloud adoption will put you on the path to what Google calls “autonomic security .” This means that security has been integrated into all aspects of data lifecycles and is continuously improving. It makes it easier for users to use the cloud, removing them from having a multitude of rules about who, what, when and with which data. It allows you to keep up with ever-changing cyberthreats, business changes, and makes it easier for you to make business decisions quicker.

Like other categories, certain data security methods lose their importance or disappear. For example, manual data classification at the cloud scale. However, some approaches to data security remain important from on-prem and cloud, while others transform (e.g. pervasive encryption with secure key management).

Management of access and identity

Your cloud data center is not the same environment for access and identity management (IAM). Every person and every service in the cloud has their own identity. You want to be able control access.

IAM allows you to centrally manage cloud resources with fine-grained access control. Administrators can give you permission to access specific resources. This gives you complete control over and visibility to centrally manage your cloud resources. IAM provides a single view of security policy across all your organization, regardless of whether you have complex organizational structures or hundreds of workgroups and multiple projects.

You can grant cloud access at fine-grained levels with access management tools. This is far beyond the project-level. You can also create access control policies for resources that are more specific based on attributes such as device security status, IP address and resource type. These policies ensure that appropriate security controls are in effect when accessing cloud resources.

This is where Zero trust plays a strong role. Implicit trust in any one component of a complex interconnected system can pose significant security risks. Trust must be established through multiple mechanisms and continually verified. A zero trust security framework is required to protect cloud-native environments. All users must be authenticated, authorized and validated for security configurations and postures before they are granted access to cloud-based apps and data.

This means that IAM mental model from on-premise security generally survives, but many underlying technologies change dramatically and IAM’s importance in security increases significantly.

Cloud security: Shared destiny for more trust

Cloud is more than just “someone else’s computer.” Trust is a crucial component of your relationship to cloud service providers. Cloud service providers often acknowledge that you share responsibility. This means they provide the infrastructure, but you are responsible for many seemingly complex security tasks.

Google Cloud operates in a shared fate model to manage risk with our customers. It is our responsibility to ensure that our customers are able to deploy securely on the platform. We don’t want to be delineators as to where our responsibility ends. We are there to help you with the best practices for safe migrations to trusted clouds and operation.

As a student, you can improve your data analysis skills

 

You may be a college student and you are preparing to enter the “big boys” job market.

Data analysis is the area that I always return to when I think of high-value areas to focus my technical skills in.

Data analysis is important.

In today’s technology-driven society data in all its forms is increasingly valuable because of the insights it provides. All fields are seeing an exponential increase in the amount of data generated. This is good news for students. You can now learn data analysis to enhance your existing skills in any field, including marketing, computer science, and even music. No matter your background, having the ability to manipulate, process and analyze data will help you get ahead.

What should I consider when learning new skills

It can be daunting to learn new skills and tools in tech, on top of your coursework, jobs, or internships. Trust me, it’s not easy. It’s important that students are strategic and efficient in determining the best resources for learning.

When I learn new software or skills, there are some factors that I consider.

  • What is the estimated cost of this?
  • What time will this take?
  • What relevance does this have to my job prospects and career?

Price
This is something I don’t even pretend to be thinking about. It is essential to know how to manage your finances, especially when you are looking to improve your career.

Time
What about time? That is also a cost. Students value time as much as money. Students have to balance coursework, studying, work, family, extracurriculars, career growth, and sometimes even a job. We are looking for skills that can be learned quickly and that can be done on our own, in our own time.

Applicability
Finally, I want to be capable of learning a skill or tool that is relevant to my job search. This will allow me to list it on my resume and make it more appealing to the types of companies I will be applying for. This kind of self-study is essential for your career advancement. This is why I look for opportunities to learn directly with industry-standard software and other services.

Learning data analysis using Google Cloud

My internship at Google has given me ample opportunities to improve my data analysis skills through Google Cloud services. This blog post focuses on two of these services: BigQuery, and Data Studio.

What’s BigQuery?

BigQuery allows companies to run analytics on large data sets from the cloud. It is also a great place to learn and practice SQL (the language used for analysing data). BigQuery’s “getting started” process is very easy and saves students a lot of time. Instead of installing database software and sourcing data to load it into tables, log in to the BigQuery Sandbox to immediately begin writing SQL queries or copying samples to analyze the data provided by the Google Cloud Public Datasets program. You’ll be able to see the difference for yourself soon! ).

What’s Data Studio?

Data Studio integrates with BigQuery to allow you to visualize data in interactive and customizable tables, dashboards and reports. It can be used to visualize the results from your SQL queries. However, it is also useful for sharing insight with non-technical users.

Data Studio is part of Google Cloud so you don’t need to export processed queries to another tool. Direct connections to BigQuery can be used to visualize data. This saves time and eliminates the need to worry about file compatibility and size.

BigQuery and Data Studio are free to use within the Google Cloud Free Tier. The free tier allows users to store a minimum amount of data (if you wish to upload your own data) and it also processes a set number of queries per month. A BigQuery “sandbox”, which is free, can be created. It doesn’t need a credit card and you don’t have to pay any fees to set it up.

BigQuery and Data Studio are free to use. Let’s now talk about their applicability. BigQuery and Data Studio can be used in many industries today for production workloads. You can search BigQuery and Data Studio on LinkedIn to see what I mean.

Get started with BigQuery or Data Studio

Let’s get on with the business. Let me show you how easy it is to use both these tools. Here’s a quick tutorial to help you get started using BigQuery and Data Studio.

Let’s look at an example situation that BigQuery can solve.

Congratulations! This is a new intern that was recently hired by Pistach.io. Pistach.io insists that new employees are allowed to come in for training programs for the first few weeks. You must show up on-time. Pistach.io’s office is located in New York City. There is no parking available nearby. So you know that New York City’s public bike program has been reinstituted. You have decided to use bikesharing to get to work.

You must arrive on time at work. Here are some key questions to help you answer these questions.

  • What stations are nearby that have bicycles you can use in morning?
  • Is there a drop-off point that is close to the office?
  • Which stations are busiest?

These questions could be answered using a public dataset. BigQuery offers tons of datasets that you can use at no cost. This example uses the New York Citi Bike dataset.

How to get set up

    1. First, create a BigQuery Sandbox. This is basically an environment that you can use to do your work. Follow these steps to set one up: https://cloud.google.com/bigquery/docs/sandbox.
    2. Go to the BigQuery page in the Google Cloud console.
    3. Click +Add Data in the Explorer pane > Pin a Project > Enter the project name.
    4. Type “bigquery-public-data” and click Pin. This project includes all datasets that are available in the public datasets programme.
    5. Expand the bigquery–public-data project to see the underlying data. Scroll down until you find “new_york_citibike”
    6. Click to highlight the data or to expand the citibike_stations/citibike_trips tables. To see the schema and preview of the data, highlight the tables.

Visualize the results
BigQuery’s great feature is Data Studio, which allows you to visualize your results with ease. Just click the Explore Data button on the query results page! This will help you get a better understanding of the query you made.

If you’re interested in trying Data Studio out for yourself, I suggest following this tutorial. It also covers bikeshare trips, but this time it is in Austin, Texas!

Next step

It’s that easy! Google Cloud is simple to use and learn, so you spend less time “getting going” and more time analysing data and creating visualizations. It is easy to see the benefits of using this tool in your professional and personal tech development. There are many ways you can improve your data science skills, such as BigQuery, and help your early career in data science.

Cloud Computing: 12 Benefits

 

Cloud computing has existed for nearly two decades. Despite the fact that it offers many benefits, including cost-benefits and competitive advantages, large numbers of businesses continue to use it without any realizing them. A study by International Data Group found that 69% of businesses already use cloud technology in some capacity, while 18% plan to adopt cloud computing solutions at some point. According to Dell, companies that invest heavily in big data, cloud and mobility enjoy a 53% higher rate of revenue growth than their competition.

This data shows that a growing number of tech-savvy companies and industry leaders are realizing the many benefits of cloud computing. They are also using the technology to improve their businesses, serve customers better, and increase their overall profit margins.

This all seems to suggest that, given the direction the industry is heading in, it’s never been more important to get your head in cloud.

Cloud computing has been gaining popularity in recent years. It is becoming increasingly difficult for individuals and companies to keep their important programs and data up-to-date on their own computers, due to the rapid increase in data usage that has accompanied the transition into the digital 21st Century. This problem has been solved for almost as long as the internet. However, it has just recently become widely used by businesses.

Cloud computing works on the same principle as web-based email client. Users can access all the features and files without needing to store the majority of the system on their computers. Many people use cloud computing services, even though they don’t realize it. Gmail, Google Drive and TurboTax are all cloud-based apps.

Users send their personal data to the cloud-hosted server, which stores it for later access. These applications are useful for personal use but even more so for businesses who need to be able access large quantities of data via an online connection.

Employees can, for example, access customer information using cloud-based CRM software such Salesforce via their smartphone or tablet at work or on the road. They can also share this information quickly with authorized parties around the globe.

There are still leaders who are hesitant to commit to cloud computing solutions for their companies. We’d like to share 12 benefits of cloud computing with you in a few moments.

  1. Cost Savings
  2. Security
  3. Flexibility
  4. Mobility
  5. Insight
  6. Greater Collaboration
  7. Quality Control
  8. Disaster Recovery
  9. Loss Prevention
  10. Automatic Software Updates
  11. Competitive
  12. Sustainability

  1. Cost savings: If you’re worried about the cost of switching to cloud computing, don’t be. 20% of companies are worried about the initial costs of setting up a cloud-based server. However, when weighing the benefits and drawbacks of cloud computing, it is important to look beyond the initial cost. They also need to consider the ROI.  Cloud computing will allow you to save time and money on project startup by allowing you easy access your company’s data. Cloud-computing services can be paid as you go, so it’s not a concern that they will end up paying for features they don’t need or want. If you don’t use the cloud’s features, you won’t be spending money.
    Pay-as-you go also applies to data storage space required to service your clients and stakeholders. This means you will get the exact amount you need and you won’t be charged extra for space you don’t use. These factors combine to bring lower costs and better returns. Bitglass surveyed half of the CIOs and IT leaders who reported that cloud-based applications resulted in cost savings for 2015.

  2. Security: Many organizations are concerned about security when adopting cloud computing solutions. How can you be sure that files, programs and other data are protected if they’re not kept securely on-site? What’s to stop a cybercriminal accessing your data remotely? Actually, quite a lot.
    One, cloud hosts are responsible for security monitoring. This is a significantly better option than an in-house system where the organization has to split its efforts among a multitude of IT issues. While most businesses aren’t open to the possibility of data theft within their organization, a shockingly large percentage of data thefts happen internally and are committed by employees. It can be safer to keep sensitive information off-site when this is true. This is obviously abstract. Let’s look at some solid statistics.
    RapidScale claims that 94% of businesses experienced an increase in security following switching to the cloud. 91% also claimed that the cloud makes compliance easier for them. This increased security can be attributed to the encryption of data that is transmitted over networks and stored on databases. Encryption makes your information less accessible to hackers and anyone else who is not authorized to see it. Cloud-based services can have different security settings depending on who is using them. Only 9% of cloud users can claim the same. 20% of cloud users claim that disaster recovery is possible in less than four hours.
  3. Flexibility Your business only has a limited amount of time to focus on all its responsibilities. Your current IT solutions will make it difficult for you to focus on customer satisfaction and business goals if you have to pay too much attention to data storage and computer issues. Relying on an outside company to manage your IT infrastructure and hosting will allow you to spend more time on the areas of your business that directly impact your bottom line.
    Cloud hosting offers more flexibility than hosting on a local server. Cloud-based services can provide extra bandwidth instantly and without the need for a costly (and complex) upgrade to your IT infrastructure. The increased freedom and flexibility of a cloud-based service can significantly improve the efficiency of your company. An InformationWeek survey found that 65% of respondents believed that “the ability to rapidly meet business needs” was the main reason a company should migrate to a cloud environment.
  4. MobilityCloud computing provides mobile access to corporate data through smartphones and other devices. This is an excellent way to make sure that everyone is included, especially considering more than 2.6 billion smartphones worldwide today. This feature is great for staff with hectic schedules or those who live far from the office. They can keep up with their clients and coworkers instantly.
    For better work-life balance, the cloud can be used to provide easily accessible information to remote, freelance, and travel sales staff. It’s no surprise that companies with employee satisfaction as a priority are 24% more likely than others to increase cloud usage.

  5. Insight As we continue to move into the digital age it is becoming increasingly clear that “knowledge is Power” is no longer true. Instead, the phrase “Data is Money” is now more accurate: “Data Is Money.” There are valuable, actionable nuggets hidden within the millions of bits and data surrounding your business transactions and business processes. They just need to be discovered and taken care of. It can be difficult to sort through all that data and find the kernels if you don’t have the right cloud computing solution.
    Cloud-based storage solutions often offer cloud analytics, which allows you to see your data from a bird’s eye view. You can track your data and create customized reports to analyze the information across the organization. These insights can help you increase efficiency and create action plans to achieve organizational goals. Sunny Delight, for example, was able to increase its profits by approximately $2 million per year and reduce $195,000 in personnel costs using cloud-based business insight.

  6. Increased collaboration: If your company has more than two employees, you should make collaboration a priority. It is not worth having a team that is not able to work together as a team. Collaboration is made easy by cloud computing. Cloud computing makes collaboration easy and secure. Team members can easily view and share information securely through a cloud-based platform. Cloud-based services offer social spaces that allow employees to collaborate and connect across the organization. This increases interest and engagement. Although collaboration is possible with or without cloud computing, it won’t be as efficient nor easy as with a cloud-computing system.

  7. Quality Control Poor quality reporting is one of the biggest hindrances to a company’s success. All documents can be stored in one location and in one format in a cloud-based platform. You can keep data consistent, avoid human error, and keep track of revisions and updates by having everyone access the same information. However, if information is managed in silos, employees may accidentally save different versions of documents. This can lead to confusion and diluted data.

  8. Disaster Recovery Control is a key factor in determining the success of any business. No matter how well-informed your company is about its processes, there are always things out of your hands. In today’s market, even small amounts of downtime can have a devastating effect. Your services’ downtime can lead to loss of productivity, revenue, or a bad reputation.

    While there are no ways to avoid or anticipate disasters that could harm your company, there are things you can do to speed up your recovery. Cloud-based services offer fast data recovery in all types of emergency situations, including natural disasters and power outages. 20% claim that cloud-based services can provide disaster recovery within four hours while only 9% of noncloud users could do the same. 43% said that they intend to invest in cloud-based disaster recovery strategies.
  9. Prevention of Data Loss: If your company doesn’t invest in cloud computing, all your data will be tied to the computers in which it resides. Although this may seem like a problem it could lead to permanent data loss if the hardware fails. Computer malfunctions can be caused by many factors, including viruses, age-related hardware wear, user error, and simple human error. They can also be lost or stolen, even though they are often misplaced.
    You could lose all your information if you don’t have access to the cloud. A cloud-based server means that all information uploaded to it is safe and accessible from any computer connected to the internet.

  10. Automatic Software Upgrades: For those with a lot of work to do, waiting for system updates to be applied is more frustrating than anything else. Cloud-based software updates themselves and does not require IT departments to manually update the entire organization. This saves IT staff valuable time and money on consulting outside IT. PCWorld reports that half of cloud users cite the cloud’s ability to use fewer IT resources internally as a benefit.

  11. Competitive edge: While cloud computing is becoming more popular, there are still people who prefer to keep things local. While they have the option to do so, it puts them at a disadvantage when compared with others who can access the cloud. You’ll learn more quickly if you adopt a cloud-based solution than your competitors. According to a Verizon survey, 77% believe cloud technology gives them a competitive edge. 16% consider this advantage significant.

  12. Sustainability:Given today’s environmental state, it’s not enough for businesses to simply place a recycle bin in their breakroom. They have to show that they are doing their part to save the environment. Sustainable business solutions must address wastefulness at all levels. Cloud hosting is more eco-friendly and leaves less carbon footprint.

    Cloud infrastructures promote environmental proactivity by powering virtual services instead of physical products and hardware. This reduces paper waste and improves energy efficiency. It also allows employees to access the internet from anywhere. Based on cloud computing and other virtual data options, a Pike Research report forecasts that data center energy consumption will decrease by 31% between 2010 and 2020.

 

Top Advantages and Disadvantages Of Cloud Computing

Wondering about the advantages and disadvantages of cloud computing? Nothing is perfect and cloud computing is no different. Here we will talk about the pros and cons of cloud computing… The best way of storing and analyzing data at present is Cloud Computing. It is safer and less expensive compare to storing data on local hard drives. Just for a reminder, Cloud Computing is a service over the internet that offers you store, manage, and process data. It is easier for you to access your data because of software platforms and virtualized networks. There are different types of Cloud Computing, such as:-
  • Platform as a Service (PaaS)
  • Software as a Service (SaaS)
  • Infrastructure as a Service (IaaS).
Let’s discuss, benefits, and issues you face about Cloud Computing.  Advantages and Disadvantages of Cloud Computing

Advantages Of Cloud Computing

At first, we will discuss the benefits or top advantages of Cloud Computing. There are many advantages such as:-
  1. Cost Less.
  2. Back-up and restore data.
  3. Reliability.
  4. Manageability.
  5. Excellent accessibility.
  6. Data security
  7. Mobility.

1/Cost Less 

With Cloud Computing, you can save and cut the expense you spend installing applications or in-house servers. There is no requirement for trained workers to manage the hardware. The cloud service provider buys and handles equipment, including physical hardware. So, no need for funding money in physical hardware. Cloud Computing decreases both hardware and software maintenance costs for companies.

2/Back-up and restore data

You can quickly restore your data once the data stored in the cloud. Cloud Computing is fast and accurate to restore the data. The only problem is downtime that we will discuss later in this article. It is the most efficient solution to your problem. If you lost your data because of disaster or hardware damage, you could quickly get all the data back you store in the cloud.

3/Reliability.

The most important plus point of using cloud computing is you don’t worry about server maintenance. If the host server ever fails, then the hosted files are transitioned to another available server. Also, you can get immediately updated about the changes. Cloud Computing has diverse users, so their responsibility to fulfill the requirement of each user increases. They consistently maintain their services and functionality so that user doesn’t face problems. You can blindly rely on cloud computing.

4/Manageability.

The software and hardware maintenance of cloud computing costs very low. Cloud Computing also diminishes the need for IT infrastructure updates and maintenance. The provider timely and seamlessly delivers services. They take care of all the management and maintenance. Easily manageability is one of the most significant advantages of Cloud Computing.

5/Excellent accessibility.

Once your data backed up on the cloud, you can access your files from anywhere. You can get your data from any device that has an internet connection. The cloud service provider ensures that you can easily access your data Cloud Computing also allows for easy collaboration. So, you can share files and data among users in multiple locations easily.

6/Data security

Cloud Computing assures that data is securely stored. They offer an additional layer of security to their services. Millions of users store files and data on the cloud. They provide many advanced safety features, so your data and files can’t obtain by any other without your will.

7/Mobility

Employees working at remote locations can easily access all the could services. Cloud computing allows users to access all cloud data via mobile easily. All they need is Internet connectivity.

Other Advantages Of Cloud Computing

Other advantages of cloud computing are as follow:
  • Offers advanced online security
  • On-Demand Self-service
  • Allows pay-per-use
  • Location and Device Independence
  • API Access available.
  • Fast and effective virtualization
  • High speed
  • Offers Resilient Computing
  • Multi-tenancy
  • Low-cost software
  • Scales automatically
  • Web-based control & interfaces

Disadvantages Of Cloud Computing

In this article, Top Advantages and Disadvantages of Cloud Computing, we discussed the advantages of cloud computing. Now, we will discuss the disadvantages of Cloud Computing. Disadvantages of Cloud Computing are as follow:-
  1. Internet Connection
  2. Downtime
  3. Vendor Lock-in
  4. Privacy and Security
  5. Limited Control

1/Internet Connection

When you back up your files and data on the cloud, you need an internet connection. And when you want to access or restore your data, you again need an internet connection. Cloud Computing depends on the network connection. Internet connection is the most significant disadvantage of Cloud computing. Cloud computing is more beneficial if you have:
  • reliable and Consistent Internet 
  • Fast Connection and Bandwidth

2/Downtime

Downtime is when a cloud provider faces many issues that cause downtime. Some of the standard-issue that Cloud Computing provider faces are as following:
  • Power loss
  • Low internet connectivity
  • Service maintenance or other problems.
Even the best cloud provider faces these problems. As we discuss above, Cloud Computing is an internet connection based service. The access to your data is entirely dependent on an internet connection. The cloud platform can fail for any one of a thousand reasons.

3/Vendar Lock-in

Vendor lock-in occurs when a company transfers its services from one provider to another. The different provider has different platforms that sometimes cause difficulty. Some apps that work fine with one platform may not be compatible with another. It may be due to:
  • Sync issues.
  • Support issues, etc.

4/Security and Privacy

You should know that Cloud Computing providers are third party service. You will be sending all your sensitive data to a third party. All Cloud service providers use the best security standards to store essential data. But still, there is a chance that Hackers hack your company’s data. Data theft is a significant issue as every data of a company is online in the cloud. Even the best have suffered security issues. Sometimes storing data on the cloud is a bit risky. But for this cloud company has advanced security features.

5/Limited Control

The users have less control over the cloud infrastructure.  A company has limited access that loaded on the server. A company has control only on:
  • data
  • tools
  • apps 
While a service provider controls cloud infrastructure and also owns, manages, and monitors the cloud.

Final Thoughts…

There’s advantages and disadvantages to everything. Cloud computing is no different. However, the pros of Cloud computing outweigh the cons by a huge margin. It’s no secret that cloud computing is the future. Now, you will understand why Cloud Computing is growing that much. Cloud Computing technology will stay for a long time because all organizations are using it to grow their business. I hope you understand all the advantages and disadvantages of cloud computing. If you doubt the Advantages and Disadvantages of Cloud Computing, you can ask in the comment section.

What is the UniFi Cloud key? | All You Should Know

 

UniFi cloud key is a well developed wireless software for the management of networks. It is offered by Ubiquiti networks, an American tech company that usually manufactures wireless data communications. With the help of UniFi cloud key, we can manage multiple wireless networks at a time with a web browser. It allows us to combine the local network security with appropriate remote access. There are a lot of benefits of using the UniFi cloud key which we are going to discuss in this article. We will also mention the works of UniFi and is it necessary to use the UniFi cloud key or not?

 

Firstly, we will know about the UniFi cloud key and what is it made for?

 

UniFi Cloud Key

UniFi cloudkey feature plugplay

UniFi cloud is a network managing wireless software solution, specially designed for remote access. With the help of UniFi you can easily set up the apps on any PC with ease so that the device will continue to use that layout. The UniFi is offered by an American company, Ubiquiti Networks. This is a technology-based company that mainly manufactures wireless communications. Ubiquiti offers advanced, secure & reliable solutions, UniFi cloud key is one such solution.

UniFi cloud key allows you to access all your devices from any geographical region. You can be anywhere in this world, accessing your devices securely, without any interruption. It combines local network security with remote access appropriately. It also provides a feature of single sign-on for the remote.

 

What is the use of UniFi Cloud key?

Suppose you are managing an enterprise, there will be a lot of mesh in your head. You have to keep an eye on every server in your office. What if you are unable to attend the office or isn’t it a very tough task to handle and manage all your networks at a time. So, here’s an advanced solution that is the UniFi cloud key, which helps you to manage all your office networks at a time even when you are not there. You can manage them from any geographical location. It allows you to connect all the local area networks in your system together so that you can easily access them from distant areas.

Firstly you have to install the UniFi controller software in your system and log in to your Ubiquiti account after that you will be able to remote access. This is a very easy process that includes very few steps by which you can easily work with UniFi cloud key. This will save you time as well as increases the efficiency of your business. You can also handle multiple installations with this and there is no need for any physical connection between the servers, you can manage all your LANs even when you are far from the system. But if you are using UDM-pro software, which runs the UniFi network management software then there will be no need for an external installation or a cloud key.

 Enable UniFi remote access for remote management

Here are the steps by which you can enable remote access for any remote management with UniFi. But first, you must have a Ubiquiti account, which can be easily created.

  1. Log in to your account on the local UniFi remote controller. This is the very first step & you will get it in a single click.
  2. Now move to the settings there you will find Remote Access. Click on the remote access bar.
  3. Following the second step, you will get enable remote access, click on it, and make this feature on.
  4. Now enter all the authentications on remote access and request a login.
  5. Now, select the enable remote access option.

This is how you can access remote management free of cost. Now you can see all your credentials were seen on the dashboard.

 

Is UniFi cloud key necessary for you?

As mentioned in the above article, UniFi cloud key allows you to manage all your local area networks together providing remote access. This is helpful for busy vendors and people running multiple enterprises as it saves their time and they can manage their networks from anywhere within the globe. But it isn’t very necessary if you don’t need any remote access. The main aim to design UniFi cloud key is to access the data from distant places. As you can not make yourself present everywhere at a time but UniFi will. But if there isn’t a need for remote access in your business then you can directly skip its use. It is usable only according to your business needs.

 

Key features of UniFi cloud key

UniFi apps generally run by themselves but sometimes they need a controller for their functioning when the features like guest portal will not be enabled in the system. It is mainly used to manage multiple networks in local areas with ease. It is offered by Ubiquiti networks, which is an American company. Each AP works the software named UniFi controller. This software is available for free to download in your system. It allows multiple network access with convenient control over the devices. UniFi cloud key gives you a safe environment for network management, so it can be a reliable solution for your businesses if they need remote access. Ubiquiti networks are the most trustable company for several years which works on making wireless communications mainly. So, we can believe their services blindly.

 

With the help of UniFi cloud access, you can remotely manage and access devices by using a single graphical user interface. It helps you to easily review statics and detailed logs in very little time. You don’t have any need to visit your offices daily if you are running multiple enterprises together. It’s time to do rest and take a review all your data from your bed. It also helps you to add visitors without any restriction, defines permitted areas as well as schedules. If you are using UDM pro software with UniFi, then there becomes easier for you to access remote management as after using this software you don’t have to install it externally.

 

I hope, this article will help you in understanding the UniFi cloud key and all its key features.

 

 

Barracuda Cloud Backup : How does it work? And, it’s benefits.

Barracuda Cloud Backup: pricing & benefits..

 

In the field of cloud computing, there’s a lot of benefits that are essential for your business growth and management, but at the same time, there’s a threat also. What if your company will face any disaster and you will lose your essential data, applications, email, files, and folders that may lead your business to fall down. So you need a strong backup solution for your data so that you can easily recover all your lost data in no time with accuracy. Barracuda cloud backup is known to be the best solution in this field which will overcome such disaster and secure your company from facing such hazards.

Let us know about the Barracuda backup solution and its benefits.

 

What is a Barracuda cloud backup solution?

Barracuda Cloud Backup

Barracuda cloud backup solution is the extensive backup solution for the storage and access of remote data. It backups all your email, files, folders, applications including all attachments, and stores them directly into the barracuda cloud storage. It enables an unlimited backup solution for your business. Barracuda cloud backup solution offers the entire recovery of teams’ data with complete files, set of folders without losing a single penny of your data. It is having a powerful infrastructure that adds safety to your data, not having any complex structure it is easy to use. It recovers even a single data as well as entire mailboxes when connected to the Internet. They are located with barracuda cloud backup storage to enable offsite data backup and disaster recovery needs.

 

 Pricing of Barracuda cloud- to cloud backup

 

Security devices and devices used for the maintenance of your data may cause a lot of pricing, lots of time, and even IT resources. Barracuda cloud backup is an affordable backup solution for any enterprise. It is easy to use and saves a lot of time and money. Problem resolution reduces from investing an hour to just a minute, so that all your lost data, folders, files, emails, search logs will be backed up in just one click. lt provides unlimited space for storing recovered data. According to the US price guide, the most efficient, scalable, and user-friendly cloud storage is assigned in 200 GB increments at a monthly rate of $0.25/GB. Isn’t it too cost-friendly & a valuable backup solution? Yes, it is. This is a very affordable price for any IT budget. It is not only a cost-friendly backup solution but it is efficient as well.

 

 

Advantages of using Barracuda cloud backup

  • Barracuda cloud backup solution protects data, wherever it resides. It enables the recovery of team data, and even it is very easy to use. There are no complications in using Barracuda cloud backup. It recovers even a single item that you have lost.
  • The service provides an added layer of protection to your data, and with the help of barracuda cloud backup, it becomes easy to regain all your lost data in a very few Time without going through any tough process.
  • It secures your company from facing any trouble in reloading data when the company has gone through any disaster or data loss. You can backup your data from anywhere with an internet connection.
  • It offers scalability to your business. As it is the ability of a computing process to be used or produced in a range of capabilities, hence it increases the efficiency to work. It also provides unlimited storage for data backup, so you can widely backup any data in your system.
  • Being a comprehensive backup solution, it becomes more liable to use for any enterprise. It automatically backs up any data, files, folders, photos, messages, entire mailboxes, emails, activity logs, applications, contacts, services, etc. in few minutes without any storage problem.
  • Barracuda cloud backup not only has a rare complexity but also has a very affordable price. It is user-friendly as well as cost-friendly which reduces the heavy pricing and fits in the IT budget of enterprises also. The Barracuda cloud has a strong infrastructure for storing all your important files and folders securely.
  • Its main focus can be seen in providing affordable backup solutions with continuous threat protection, secure storage, and also offers cost-effective scalability. It is mainly used for the backup of remote data and its accessing. It will back up your company’s complete data in just one click and recover your company from any disaster.
  • With the help of Barracuda cloud backup services, you can access data quickly and securely from anywhere in multiple offsite locations.

What are barracuda essentials?

 

If you are running any enterprise, then there’s a danger of stealing sensitive data of your company which may take you to a hazardous situation and most of the cyber attacks are targeted through emails.

Barracuda essential is a solution for small businesses to secure their company’s emails from being leaked. It helps in preventing those cyber-attacks which are targeted through emails. Barracuda essentials include a lot of safety features like it has a ton of anti-viruses, anti-spams, and has very highly advanced protection elements. It prevents data piracy and phishing so that your email will get the end to end encrypted protection.

 

 

Features of Barracuda cloud backup

Barracuda backup services contain a linking of AES (asymmetrical) and RSA (symmetrical) encryptions. These encryptions give assurance about the security of data when it is transferred offsite. It offers a wide range of restoring options. It offers bare metal restoring as well as fast image-based restoring. The most exciting feature of barracuda backup is that it will preload the most recent data if the company has gone through any disaster without any disturbance in the data. The data restored will be original and extensive. It also offers unlimited space for storage, so you can backup any type of data without filtering the essential one and it allows replication of data in its cloud. It is cost-efficient, easily available at a very affordable price hence, appropriate for small businesses and sub-divisional organizations as it fits the IT budget which we have already discussed in the above article.

6 Best Website Platforms (CMS)

Are you confused that what CMS to use for your website? There are tons of CMS from which you can select. So which website platform to use? You will learn about this in this article…

So what does a CMS means?

A CMS (Content Management System) is a platform that lets you create a website without the knowledge of coding. Almost all the CMS let you build a website touching a single line of code. Only a few of them will require coding.

Here, we will explain which will be the best CMS (website platform) for you…

Best Website Platforms (CMS) – 2021

Best CMS - Website Platforms

WordPress(org)

WordPress.org is without a doubt, the best CMS platform right now. The stats don’t lie – it is the most popular CMS in the world, running on more than 35% of websites on the internet. Note – don’t ever confuse WordPress.org with WordPress.com, it’s confusing not gonna lie.

WordPress(org) is a free open-source CMS that was primarily made for blogging. But as time progressed, it is now used for every kind of site. No matter what kind of the site you will be able to make it and manage it with WordPress(org). You will still need web hosting and domain tho.

Here are the benefits of using WordPress(org) :

  • The freedom and flexibility that WordPress provides are unmatchable. You can literally build any kind of website.
  • You don’t need to have any kind of knowledge, you don’t need coding skills to build and manage sites with WordPress.
  • You can make money with your website and you won’t have to pay for anything extra.
  • There are thousands of free and paid WordPress themes/plugins. You can build your own themes/plugins and sell them.
  • It’s great for SEO. There isn’t a CMS that’s better than WordPress(org) in this department.

Joomla

Just like WordPress(org), Joomla is another open-source CMS platform. Like the other platform, it comes with many free templates and extensions. With these tools, you will be able to create any kind of website you want. It won’t be much difficult.

Even though it’s free like WordPress(org), you will still need a domain name and web hosting. There are many features you will benefit from using Joomla. It’s the ideal platform for developers and experienced creators. Not so easy for beginners.

Here are the benefits of using Joomla :

  • It provides you with a lot of flexibility and tons of options. This is pretty great for building something complicated.
  • Even if it’s great for developers, it’s not necessary to know about programming. You can do just as better with touching a line of code.
  • Just like WordPress, it’s also a free open-source platform. There’s a lot of community help.
  • You can make any site with the help of Joomla be it – a blog, a complex website, or an online store.

Drupal

With WordPress(org) and Joomla, Drupal is one of the holy open-source CMS trios. This CMS is used by a lot of popular websites including The Economist and a number of well-acclaimed sites. There are many templates and extensions you can choose from.

Drupal is great for websites that have huge amounts of data. It also has built-in access tools that give you advanced controls over the CMS. If you are a newbie then you won’t find it easy. You need to have tech knowledge or hire a developer to get the max benefits.

Here are the benefits of using Drupal :

  • Adding content on Drupal is pretty easy. The custom content type offers flexibility and many other options.
  • There are modules that enhance the functional ability of your site.
  • There’s a great community to help if you’re stuck anywhere.
  • User Management is simple. You can easily add or manage roles.

Magento

Magento is an open-source platform for E-Commerce. It’s just like the E-commerce version of WordPress(org). Magento offers great flexibility in addition to powerful security. However, it isn’t easy for non-tech people to get into. You will need technical knowledge.

What most people don’t know is – Magento is a service by Adobe. You have two options – use the free version with some restrictions (Magento OpenSource), or, you pay them to set up and maintain your store which gets very expensive.

Here are the benefits of using Magento :

  • It’s highly customizable, there are lots of third-party plugins for adding extra features.
  • It’s great if you want to grow your online business. You can put up lots of products and it can handle many customers.
  • Tons of big brands use Magento. Some of them are – Coca Cola, Ford, Nike, etc.
  • You can connect many payment gateways with your online store.

dotCMS

dotCMS is another open-source CMS but it comes with an API-first approach. Building any kind of Sites or E-Commerce store is pretty easy as it has a drag-and-drop feature. After that, you can use the API to send your content to any destination be it – websites or apps.

You surely need to have tech knowledge if you want to work on dotCMS. It’s possible for beginners to get used to dotCMS. On the backend, there are authorship features from where you can create many roles and permissions for accessing your content.

Here are the benefits of using dotCMS :

  • It has a pretty good Edit-mode which allows you to edit the site as your heart desires.
  • Publishing Freedom – You can publish dynamic and static content. Scheduling content is also possible.
  • Seamless Integrations – you can easily integrate many technologies without any hassles.
  • API First – Everything is future proof because of Rest API.
  • Multi-Cloud, you get the options to deploy on a public or private cloud.

HubSpot CMS

HubSpot CMS is a great CMS that is used by marketers and businesses who want to connect with their customers. It comes with a built-in configuration with the free HubSpot CRM. It helps you to add leads directly to your CRM, you can also personalize your site to individual visitors. This way you can convert those to your customers.

One thing you should note – it isn’t for newbies. It’s pretty expensive too and you will need to have developers if you want to manage it. For non-techy users, there’s a drag-and-drop builder.

Here are the benefits of using HubSpot CMS :

  • It comes with built-in A/B/n testing. You can easily optimize your content.
  • There are SEO recommendations that let you rank higher on Google.
  • 24/7 support if you get stuck anywhere.
  • 24/7 security monitoring. There won’t be any security issues on your site.
  • Content Attribution – it tells you where your leads are coming from.

Final Thoughts…

There were the best CMS (website platforms) that you can use to run your website. That being said, WordPress(org) is the best CMS platform out there for any kind of website. It only lags a bit behind in E-Commerce but it’s catching up.

So, which one of these CMS platform do you like the most? Which website platform do you use? What’s stopping you from getting started with these platforms? Let us know in the comments below…