namaste 🙏 devops

Week 7 in AWS and we are now getting down to the good stuff! AWS auto-scaling monitors your applications and automatically adjusts in capacity to maintain steady, predictable performance for the lowest possible cost. You can set up application scaling for multiple resources across multiple services in mere minutes. Prerequisites : AWS Account Steps : Create a VPC with CIDR 10.10.0.0/16 Create three public subnets with 10.10.1.0/24 & 10.10.2.0/24 & 10.10.3.0/24 Create an auto-scaling group using t2.micro instances. All instances should have apache installed on each instance with the ability to check any random IP address and be able to produce a test page. Ensure the auto-scaling group is using the public subnets from #2 The auto-scaling min and max should be 2 and  5 Create an Application Load Balancer to distribute traffic to the auto-scaling group Create web server security group that allows inbound traffic from HTTP from your Application Load Balancer Create a load balance...

Hey everyone, I hope you all are doing well. You might have read my previous article on Anthos Service Mesh. In this article, I wanted to give you an overview of Anthos Config Management. For a career in tech, subscribe to The Cloud Pilot Anthos Config Management Overview Anthos Config Management is a configuration and policy management service that enables continuous protection and configuration of Google Cloud. It consists of three components: Policy Controller, Config Sync, and Config Controller Benefits Many benefits come along with Anthos Config Management since it automatically synchronize s configurations and applies policies across multiple clusters. Some of them are: Simplified Management Consistent configurations and policy management Scalability across environments Security and Compliance Components As mentioned earlier, 3 components work together as a single service called Anthos Config Management. They are: Policy Controller Policy Controller enables the enforcement of...

Approach 1-Integrating Gitlab repository with Cloud Build Triggers via webhook | CI/CD pipelines with GKE Hello everyone 👋, In this blog we will build the code from Gitlab repository and deploy our code to Google Kubernetes Engine by integrating it with Cloud Build. Photo by Nicolas Gonzalez on  Unsplash As we can see Cloud Build Triggers doesn't give direct option to build our code from Gitlab repository . Only Github, Bitbucket and Google Source Repository are available. So for selecting Gitlab as a source repository , we have 2 approaches. Approach 1  —  In order to build our code with Gitlab, we need to introduce Gitlab webhooks to build our code and to automate our builds in response to webhook events. Approach 2  —  ( Best Practise ). By creating Mirroring of Repository between Gitlab and Google Cloud Source Repository to use advanced features with our builds that CSR(Cloud Source Repository) provides . In this method we will first mirror the Gitlab repository, then we w...