Whizlabs Blog - Online Learning Place for Cloud Professionals

A Guide to GKE Clusters (Google Kubernetes Engine)

Google Kubernetes Engine (GKE) is a management system that is compatible with Docker containers. The GKE module has clusters that run smoothly with Google’s public cloud services. The Kubernetes program, an open-source container management system designed and created by Google, is at the base of Google Kubernetes Engine or GKE. The GKE system is used to deploy and manage containerized applications that run in Google’s framework. The Google Kubernetes Engine also helps in scaling the application’s internal operations with the help of clusters. The GKE infrastructure supports different artificial languages like AI, ML, Linux, and Windows. GKE also works with […]

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Cloud Armor – A Complete Guide

Google Cloud / By Girdharee Saran

Every organizational application needs some security policies for adding up protection aspects from potential web attacks. If you have an application running over the cloud, then it is your responsibility to look after its security to keep your data and operational efficiency safe. And for that, Google has introduced its Cloud Armor security policies! Google Cloud Armor intends to offer you protection for cloud deployments from various types of threats. Some of the potential attacks or threats that are defended by the Cloud Armor are Distributed denial-of-service (DDoS), SQL injection (SQLi), and cross-site scripting (XSS). The Google Cloud Armor has also embedded

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GitOps: Continuous and Progressive Deployment in AWS EKS – Sivamuthu Kumar

Webinar / By Girdharee Saran

The concept of GitOps was first launched by WeaveWorks, a management firm of Kubernetes, and has extended to the whole DevOps community ever since. GitOps is an IaC extension and declaratory configuration. “GitHub is a code-based infrastructure. Its operational procedures rely on Git’s resource control system. What that means is – we are maintaining the system but in a declarative way. We are keeping all the changes in the version control. Using a Git as a source control system, we are maintaining our infrastructure and operational system.” – Sivamuthu Kumar, Senior Software Architect in Computer

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What is Cloud AutoML?

Google Cloud / By Girdharee Saran

Google introduced Cloud AutoML to make Machine learning easy and accessible to businesses that require AI and automation. Google developed Cloud Machine Learning Engine in 2017 that brought ML expertise to the industries and allowed engineers to build ML models to be put to use in different sectors. ML capabilities like NLP, translation, Vision, Speech were put to use to create better, more intelligent business applications. However, the Machine Learning capabilities are expanding and supporting their application in different fields; Google brought in Cloud AutoML. Google Cloud AutoML can build high-quality custom-made ML models for businesses that are only recently

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What is Cloud NAT?

Google Cloud / By Girdharee Saran

Cloud NAT is a Network Address Translation System that works in close association with the Google Cloud Platform. The system works towards connecting certain external resources to connect to the internet without any specific public IP address. The Cloud NAT system works under some conditions and prerequisites. By using the Cloud NAT system, you can connect with the Internet via GCP even if you do not own a GCP-specific public IP address. These outbound connections come in handy in multiple projects and applications. Since the internet is a fundamental need for all kinds of applications and sites today, Cloud NAT

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Chaos Engineering and AWS Fault Injection Simulator – Supratip Banerjee

Webinar / By Girdharee Saran

In May 2017, at London’s two of the busiest airports, British Airways grounded all of its flights. That day 75,000 passengers of British airways were impacted because of an IT failure. Airline investigations reported that it was the case of poor resilience and lack of proper disaster recovery after a power surge at a UK-based data center. The CEO of British Airways recently explained how that one IT failure cost the company 80 Million Pounds! Even in your companies, failures are bound to happen. “Many unknown factors can not be anticipated in the regular testing scenario for application failure. So

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There’s Actually Very Little That You Can Not Do – Anahit Pogosova – Exclusive Interview With Our Cloud Thought Leader

Featured / By Pavan Gumaste

Anahit Pogosova is Whizlabs‘ one of the 150 Cloud Thought Leader and New Generation Leader of 2021. She is a Lead Cloud Software Engineer at Solita, one of Finland’s largest digital transformation companies. She is an AWS Data Hero and has been architecting and building software solutions with various customers for over a decade. From monolithic on-prem software to the cloud, Anahit is focusing mostly on AWS Data and Serverless services. Even during her busy schedule, she finds time to speak at various local and international events. She also writes about AWS on Solita developers’ blog and has been a

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What is Docker?

DevOps / By Girdharee Saran

Docker is an innovative open platform that plays a major role in developing, running, and shipping applications. It has the ability to help you create a partition of your application from its infrastructure, with an intention to deliver the software on a quick note. To be precise, Docker is meant for containerized applications. The intention of a containerization platform is to enable the developers to package applications into the containers. The containers intend to simplify the seamless delivery of all of the distributed applications. The Docker ideology is gaining popularity amidst the developers, as most of the organizations are shifting their

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How to Become Azure Data Scientist?

Microsoft Azure / By Girdharee Saran

The demand for cloud-based infrastructure has grown over the years through the pandemic, and now companies see it as a cost-effective and easier solution. A data-driven approach is also evolving greatly as businesses continue to realize their potential. Companies are currently hiring fresh Azure data scientists to help make crucial business decisions through accurate data comprehension. This is the reason why knowing about Microsoft Azure is a brilliant way to advance your career as an IT professional. Being a data scientist with expertise in Microsoft Azure is not a complicated process, so we will lay down all the points that

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List of Top 10 Azure Services

Microsoft Azure / By Girdharee Saran

A public cloud computing platform, Microsoft Azure offers infrastructure as a service (IaaS), software as a service (SaaS), platform as a service (PaaS), and a serverless model. A constant hybrid cloud, Microsoft Azure is growing in demand with approximately 90% of the Fortune 500 companies using Azure services. The Azure cloud services are trained and created to deploy and manage even complex apps, through virtual infrastructure. It supports various programming languages, devices, databases, operating systems, and extensive frameworks. Therefore, Azure services intended for the professionals and enterprises offer all-around alternatives to the traditional means of organizational processes, with top Azure

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