DevOps and CI/CD Resources

Kubernetes for DevOps Engineers: Mastering Modern Patterns

Kubernetes v1.35 marks a turning point: cgroups v1 is deprecated, Ingress-NGINX is retiring, and Gateway API becomes the ingress standard.

March 2, 2026

by Parthiban Rajasekaran

· 1,147 Views · 1 Like

Big Cloud Still Runs Most Containers on VMs; What Does that Mean for the Rest of Us?

While many developers run containers on bare metal in development, in production, it's almost all VMs. What does this mean for the broader cloud landscape?

February 27, 2026

by Chris Ward

CORE

· 1,678 Views

Unified Intelligence: Mastering the Azure Databricks and Azure Machine Learning Integration

Bridge the gap between Big Data and production ML. Learn to integrate Azure Databricks with Azure Machine Learning for a seamless, scalable end-to-end MLOps workflow.

February 27, 2026

by Jubin Abhishek Soni

CORE

· 1,246 Views

AWS Bedrock vs. SageMaker: Choosing the Right GenAI Stack in 2026

Deciding between Bedrock's serverless ease and SageMaker's deep control? This guide breaks down the 2026 AWS GenAI landscape for you.

February 26, 2026

by Jubin Abhishek Soni

CORE

· 1,416 Views · 1 Like

Terraform AWS Provider Explained Like You’re Five (With Real Code)

Terraform is an Infrastructure as Code tool that allows teams to define AWS infrastructure using declarative configuration files instead of manual console clicks.

February 26, 2026

by Ankush Madaan

· 1,397 Views

Mastering GitHub Copilot in VS Code: Ask, Edit, Agent and the Build–Refine–Verify Workflow

GitHub Copilot in VS Code isn’t “just autocomplete.” It’s a set of interaction modes — Ask, Edit, and Agent in the Chat Panel.

February 26, 2026

by Hanna Labushkina

· 2,577 Views

A Unified Framework for SRE to Troubleshoot Database Connectivity in Kubernetes Cloud Applications

Troubleshoot Kubernetes database connectivity using a layered diagnostic framework and achieve rapid root-cause identification and production stability.

February 25, 2026

by Prakash Velusamy

· 3,003 Views

Cagent: Dockers newest low code Agentic Platform

Docker’s cagent is a new open-source, low-code/ YAML-centric AI agent builder and runtime. Instead of writing code, you describe agents and cagent runs them.

February 25, 2026

by Siri Varma Vegiraju

CORE

· 1,630 Views

How to Configure JDK 25 for GitHub Copilot Coding Agent

Set JDK 25 for the GitHub Copilot coding agent so it can build and test Java 25 projects while working on your tasks.

February 25, 2026

by Bruno Borges

· 2,204 Views · 2 Likes

How to Integrate an AI Chatbot Into Your Application: A Practical Engineering Guide

A practical engineering guide to integrating an AI chatbot into your application, covering architecture, backend flow, NLP handling, security, testing, and deployment.

February 24, 2026

by Manthan Bhavsar

· 1,374 Views

Integration Reliability for AI Systems: A Framework for Detecting and Preventing Interface Mismatch at Scale

Prevent AI system failure by enforcing contract consistency across four layers: validation, testing, runtime monitoring, and fail-fast boundaries.

February 24, 2026

by Anurag Jindal

· 1,587 Views

Building Event-Driven Data Pipelines in GCP

An analysis of modernizing event-driven data pipelines using BigQuery, Firestore, and Dataflow on Google Cloud Platform (GCP).

February 24, 2026

by Krishnam Raju Narsepalle

· 1,177 Views

The DevSecOps Paradox: Why Security Automation Is Both Solving and Creating Pipeline Vulnerabilities

This article examines how DevSecOps and AI automation shifted attacks to CI/CD pipelines, making security tools themselves a growing attack surface.

February 24, 2026

by Igboanugo David Ugochukwu

CORE

· 1,600 Views · 1 Like

From Command Lines to Intent Interfaces: Reframing Git Workflows Using Model Context Protocol

Model Context Protocol enables intent-driven GitHub workflows in the IDE, replacing command sequences with safe, structured natural language interactions.

February 20, 2026

by Aishwarya Murali

· 1,777 Views

Amazon Q Developer for AI Infrastructure: Architecting Automated ML Pipelines

Master Amazon Q Developer for ML infrastructure. Automate SageMaker pipelines, optimize GPU resources, and accelerate AI development cycles.

February 20, 2026

by Jubin Abhishek Soni

CORE

· 1,690 Views · 1 Like

Why End-to-End Testing Fails in Microservice Architectures

End-to-end testing fails in microservices due to non-determinism, complex environments, slow feedback, and unclear ownership, making tests flaky and unreliable.

February 20, 2026

by Alok Kumar

· 2,492 Views

Automating Unix Security Across Hybrid Clouds

Here is an architectural pattern for building a fully automated, cross-cloud patching engine using GitLab CI, Docker, and Ansible.

February 19, 2026

by Dippu Kumar Singh

· 1,761 Views

Mastering Serverless Data Pipelines: AWS Step Functions Best Practices for 2026

AWS Step Functions is central to modern serverless data engineering, yet many teams struggle to build pipelines that scale reliably in production.

February 19, 2026

by Jubin Abhishek Soni

CORE

· 1,947 Views

When Kubernetes Forgets: The 90-Second Evidence Gap

Kubernetes heals too fast, losing diagnostic context. Engineers reconstruct incidents manually. Time-bounded queries, correlation, and intent tracking preserve evidence.

February 18, 2026

by Shamsher Khan

CORE

· 2,417 Views · 2 Likes

Design and Implementation of Cloud-Native Microservice Architectures for Scalable Insurance Analytics Platforms

How cloud-native microservices transform insurance analytics by enabling scalability, real-time processing, and seamless modernization of legacy platforms.

February 17, 2026

by Afroz Mohammed

· 1,729 Views

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