Hello Reader, What is the difference between traditional CICD and GitOps? This topic is coming up frequently in actual project meetings, and interviews. Let us understand this with the below diagram: Traditional DevOps GitOps Argo Workflows Recently, Argo Workflows have been growing in popularity, and the differences between Argo CD and Argo Workflows can be confusing. Think of Argo Workflows as AWS Step Functions running inside the cluster. As in, Argo Workflows can create a sequence of steps that can run in parallel or one after another (or as a DAG for those of you familiar with it). Each step runs inside a container. Each step can be bash script, code, or run your container. Let's take an example - you want to migrate the workloads from Cluster Autoscaler to Karpenter, and this requires a series of steps. An Argo Workflow can be used to do this. If you are just deploying into the cluster, Argo CD is recommended. Not only is it simpler, but the UI is also built for deployments. If you need to execute a series of steps (e.g., batch processing or other complex multi-step processes), go with Argo Workflows. Check out my talk from Paris Kubecon on Argo Workflows with demo: Video Link. So let me ask you this - are you camp traditional DevOps or camp GitOps, and why? If you have found this newsletter helpful, and want to support me 🙏: Checkout my bestselling courses on AWS, System Design, Kubernetes, DevOps, and more: Max discounted links AWS SA Bootcamp with Live Classes, Mock Interviews, Hands-On, Resume Improvement and more: https://www.sabootcamp.com/
Keep learning and keep rocking 🚀, Raj |
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Hello Reader, Another day, another MCP tool. But this one is special. Today we are going to go over newly released EKS MCP server. This is the official Kubernetes MCP server released and maintained by AWS. This one will rule them all! In today's edition, we are going to go over what it is, why this one is a game changer, how you can use this to get job interviews and demand more money, and whether it will eliminate SRE jobs. There are three Ways to Manage Kubernetes : Traditional Way (Manual...
Hello Reader, We all heard it - Gen AI is taking away your job. The reality is, it is for sure impacting your job functionalities. However, there is a bigger reason why many folks are failing interviews and not growing in their career, due to Gen AI, but NOT for the reasons you think! Let's dive deep You're Learning the Wrong Gen AI Tools ⚙ There are countless Gen AI tools and services out there. But here’s the key question you should be asking: Which tools are actually being used by the...
Hello Reader, MCP is all the rage now. But does this make RAG obsolete? This is becoming a burning question in real-world projects and in interviews. In today's edition, let's take a closer look and find out the answer. Let's go over what is what quickly. RAG (Retrieval Augmented Generation) RAG (Retrieval Augmented Generation) is used where the response can be made better by using company specific context that the LLM does NOT have. You store relevant company data into a vector database....