DevOps and CI/CD Resources

Stop Building Monolithic AI Brains, Build a Specialist Team Instead

I created a team of specialist agents to handle different parts of a complex task. It's basically microservices for AI, making our app smarter, easier to update and more.

July 7, 2025

by Christina Lin

CORE

· 3,781 Views · 9 Likes

Orchestrating Edge Computing with Kubernetes: Architectures, Challenges, and Emerging Solutions

Learn about orchestrating edge computing with Kubernetes, its architectural frameworks, operational challenges, and state-of-the-art solutions.

July 7, 2025

by Venkatesan Thirumalai

· 3,315 Views · 4 Likes

Event Storming Workshops: A Closer Look at Different Approaches

Event Storming is a collaborative technique for uncovering domain complexity and aligning understanding, using various workshop types.

July 4, 2025

by Sebastian Malaca

· 1,988 Views · 2 Likes

The Evolution of Software Integration: How MCP Is Reshaping AI Development Beyond Traditional APIs

MCP adds a dynamic layer over traditional APIs, enabling AI agents to access tools, context, and real-time data for smarter, more adaptive behavior.

July 4, 2025

by Chetan Yeddula

· 4,507 Views · 8 Likes

Why Traditional CI/CD Falls Short for Cloud Infrastructure

CI/CD works great for stateless apps–but infra isn’t stateless. It’s live, interconnected, and hard to roll back when things go sideways.

July 3, 2025

by Aharon Twizer

· 4,684 Views · 2 Likes

Stabilizing ETL Pipelines With Airflow, Presto, and Metadata Contracts

Silent data drift broke our metrics, errors, just lies. We fixed it with schema contracts, validation, lineage, and loud failures. Now, trust is engineered.

July 2, 2025

by BEVERLY DSOUZA

· 2,271 Views · 2 Likes

Microservice Madness: Debunking Myths and Exposing Pitfalls

The belief that "microservices eliminate dependencies" has probably caused more harm to our industry than the 2008 financial crisis did to finance!

July 2, 2025

by Thomas Hansen

CORE

· 2,782 Views · 7 Likes

Docker Model Runner: A Game Changer in Local AI Development (C# Developer Perspective)

Explore how C# developers can use Docker Model Runner to run AI models locally, reduce setup time, and integrate OpenAI-compatible APIs into their apps.

July 2, 2025

by Naga Santhosh Reddy Vootukuri

CORE

· 4,761 Views · 3 Likes

Docker Model Runner: Running AI Models Locally Made Simple

Docker Model Runner: run AI models locally with zero setup. Pull from Docker Hub, chat via CLI or API. OpenAI-compatible. Beta.

July 1, 2025

by Suleiman Dibirov

CORE

· 3,796 Views · 2 Likes

DevOps Remediation Architecture for Azure CDN From Edgio

The article explains how organizations particularly implement the migration from the retiring Azure CDN from Edgio to Azure Front Door.

June 30, 2025

by Karthik Bojja

· 2,354 Views · 3 Likes

Maximizing Productivity: GitHub Copilot With Custom Instructions in VS Code

Integrate GitHub Copilot in VS Code to provide custom instructions for improving productivity in the software development process.

June 30, 2025

by Udaya Veeramreddygari

· 7,778 Views · 3 Likes

Containerizing AI: Hands-On Guide to Deploying ML Models With Docker and Kubernetes

Containerize your ML model with Docker and deploy it on AWS EKS using Kubernetes in this hands-on guide. Learn to build, serve, and scale your models with ease.

June 27, 2025

by Bhanu Sekhar Guttikonda

CORE

· 4,426 Views · 6 Likes

Advanced Argo Rollouts With Datadog Metrics for Progressive Delivery

The article defines and explores how progressive delivery in Kubernetes environments can be enhanced using Argo Rollouts in combination with Datadog metrics.

June 27, 2025

by Karthik Bojja

· 3,740 Views · 2 Likes

The Missing Layer in AI Pipelines: Why Data Engineers Must Think Like Product Managers

Most AI project failures result from data issues, not model flaws. To succeed, data engineers must adopt a product manager mindset.

June 27, 2025

by Rajanikantarao Vellaturi

· 2,117 Views · 2 Likes

Serverless Machine Learning: Running AI Models Without Managing Infrastructure

The article empowers developers to deploy and serve ML models without needing to manage servers, clusters, or VMs, reducing time-to-market and cognitive overhead.

June 26, 2025

by Bhanu Sekhar Guttikonda

CORE

· 4,446 Views · 5 Likes

Serverless vs Containers: Choosing the Right Architecture for Your Application

Compare serverless vs. container-based architectures for cost, performance, and scalability. Learn key differences and choose the best fit for your app.

June 26, 2025

by Srinivas Chippagiri

CORE

· 18,567 Views · 9 Likes

IBM App Connect Enterprise 13 Installation on Azure Kubernetes Service (AKS)

This article provides a step-by step guide which shows how to install IBM App Connect Enterprise 13 in an Azure Kubernetes Service Cluster.

June 25, 2025

by JEAN PAUL TABJA

· 1,997 Views · 2 Likes

Machine Learning for CI/CD: Predicting Deployment Durations and Improving DevOps Agility

Learn how to build an ML regression model that predicts CI/CD deployment duration using pipeline metadata, code metrics, and infrastructure features.

June 25, 2025

by Elakkiya Daivam

· 2,058 Views · 2 Likes

DevOps at the Edge: Deploying Machine Learning Models on IoT Devices

Deploying ML models on IoT devices using DevOps practices enables scalable, low-latency intelligence at the edge without managing cloud infrastructure.

June 25, 2025

by Bhanu Sekhar Guttikonda

CORE

· 4,868 Views · 4 Likes

Optimizing Data Pipelines in Cloud-Based Systems: Tools and Techniques

Learn how to build and optimize data pipelines in cloud-based systems to process and transfer vast amounts of data effectively.

June 24, 2025

by Anil Jonnalagadda

· 19,070 Views · 8 Likes

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