This Week in DevOpsCube ☕

and more..

☕ Grab a coffee and catch up on this week’s DevOps, MLOps, and AI insights and resources.

Contrack exhaustion is a key scenario every DevOps engineer should know.

In this guide, you will learn,

👉 Read it Here: Conntrack in Kubernetes

In this guide, you will learn about:

- What is Helm Notes.txt
- How it works and its use cases
- How to view notes before and after chart installation.
- Simple hands-on guide to show the Notes.txt functionality.
- How to suppress notes output

👉 Read it Here: https://devopscube.com/helm-notes-txt-file/

Modern DevOps pipelines should not depend on hardcoded AWS access keys.
Because leaked CI/CD credentials are still one of the biggest cloud security risks.

That is where OIDC helps.

Instead of storing AWS secrets in GitHub, your workflow gets short-lived, temporary credentials directly from AWS at runtime.

- No static keys.
- No secret rotation headaches.
- Less blast radius if something goes wrong.

In this blog,

We will look at GitHub Actions OIDC AWS Integration using a step-by-step example that secures access to the AWS cloud.

By the end of this guide, you will understand:

- Why OIDC is a secure way to connect GitHub Actions with AWS
- How GitHub’s OIDC integration works with AWS
- A step-by-step method to set up OIDC using IAM roles
- How to test the setup using AWS CLI and deploy to EKS with GitHub Actions workflows

👉 Read It Here: https://devopscube.com/github-actions-oidc-aws/

As per the community request, we have added study notes section with illustrations.

It covers key areas like Gateway API, Network Policies, Cluster administration, etc.

GitHub Repo: Complete CKA Study Notes

Found it useful?

Star the repo ⭐ and share it with someone prepping for CKA.

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This explores how Bloomberg built a secure layer on top of MCP to run AI agents in a high-stakes environment. For a DevOps engineer, the key takeaways involve:

A Blueprint for Enterprises: Their setup is a practical guide for any team running MCP in secure environments.

👉 Watch it Here: MCP Features Bloomberg Built for Financial AI

As AI agents become part of production systems, managing how they connect to LLMs, tools, APIs, and MCP servers becomes difficult.

Agentgateway solves this by acting as a central gateway for AI agents.

Here is what it does 👇

Think of it as an API Gateway for Agentic AI systems.

👉 Start Here: AgentGateway