DevOps and CI/CD Resources

Kubernetes Autoscaling: What Breaks Under Real Traffic

Under real production traffic, Kubernetes autoscaling can struggle with delayed metrics, startup latency, and downstream pressure.

March 31, 2026

by Ankush Madaan

· 2,954 Views · 2 Likes

Shipping GenAI Into an Existing App: How to Integrate AI Features Without Rewriting Your Stack

Learn a repeatable pattern for safely adding GenAI to existing apps. Choose workflows, define contracts, handle latency, build fallbacks, and roll out with telemetry.

March 31, 2026

by Naga Santhosh Reddy Vootukuri

CORE

· 2,078 Views · 2 Likes

A Developer’s Guide to Integrating Embedded Analytics

Embedded analytics implementations deliver in-context insights within everyday tools—while introducing integration, governance, and performance challenges for developers.

March 30, 2026

by Philip Piletic

CORE

· 2,709 Views

Beyond Static Checks: Designing CI/CD Pipelines That Respond to Live Security Signals

CI/CD pipelines miss runtime risk. Learn how to integrate real-time security signals into deployment decisions for safer, context-aware releases.

March 30, 2026

by Raghava Dittakavi

CORE

· 1,589 Views

Feature Flag-Based Rollout: A Safer Way to Ship Software

Feature flags let teams release code without exposing it to everyone at once. They make rollouts safer, faster, and easier to control, especially in production.

March 30, 2026

by Mohit Menghnani

CORE

· 2,464 Views · 1 Like

Deploying Java applications on Arm64 with Kubernetes

Tuning Java on Kubernetes (Arm64): align CPU/memory limits with JVM, use container-aware settings, optimize placement, and leverage OS tuning for better performance.

March 30, 2026

by Dave Neary

· 2,141 Views · 1 Like

The Hidden Cost of Legacy Infrastructure in Asset-Heavy Game Development

Today’s software and game dev bottleneck is legacy pipelines. Modern VCS gives studios the edge to scale and thrive in a high-velocity, agent-driven era.

March 27, 2026

by Sasha Medvedovsky

· 2,896 Views

Designing High-Concurrency Databricks Workloads Without Performance Degradation

Enable liquid clustering and auto-optimize by default. They handle layout, conflicts, and compaction automatically as workloads scale.

March 27, 2026

by Seshendranath Balla Venkata

· 4,429 Views · 3 Likes

When Kubernetes Says "All Green" But Your System Is Already Failing

Learn about how standard cluster observability misses the failure signals that matter most during real incidents, outages, and postmortems.

March 26, 2026

by Shamsher Khan

CORE

· 3,488 Views

Bringing AI Agents to Cloud Engineering: How Autonomous Operations Are Changing Reliability at Scale

AI agents turn cloud operations from reactive automation into adaptive systems by combining observability, autonomy, and engineering judgment.

March 26, 2026

by Arvind Gautam

· 102,928 Views

Building an Agentic AIOps Pipeline With IBM Storage Insights, n8n, and Elastic

Build an automated human-in-the-loop AIOps pipeline using n8n, Elastic, and AI to filter IBM Storage Insights alerts to reduce alert fatigue.

March 24, 2026

by Randhir Singh

· 1,240 Views

Shrink a Bloated Git Repository and Optimize Pack Files

This article walks you through why Git repos grow, how to find and remove hidden large files, and how to optimize pack files to get your repo back into shape.

March 23, 2026

by Shivi Kashyap

· 3,387 Views

Kubernetes Scheduler Plugins: Optimizing AI/ML Workloads

Custom Kubernetes scheduler plugins improve GPU utilization by understanding GPU topology, workload types, and gang scheduling requirements.

March 20, 2026

by Varun Kumar Reddy Gajjala

· 6,980 Views

Stop Trusting Your RAG Pipeline: 5 Guardrails I Learned the Hard Way

RAG alone doesn’t stop hallucinations. I use five guardrails: relevance scoring, forced citations, NLI checks, staleness detection, and confidence scoring.

March 20, 2026

by Mayur Vekariya

· 4,821 Views

Toward Intelligent Data Quality in Modern Data Pipelines

Data quality goes beyond null checks. Learn how GenAI helps detect subtle issues, explain anomalies, and strengthen testing in modern data pipelines.

March 20, 2026

by Sireesha Pulipati

· 3,574 Views · 1 Like

From DLT to Lakeflow Declarative Pipelines: A Practical Migration Playbook

Migrating from DLT to Lakeflow is mostly an API refactor, swapping DLT for pipelines, separating streaming and materialized tables, and updating CDC logic.

March 19, 2026

by Seshendranath Balla Venkata

· 4,642 Views · 1 Like

Building MCP Hub for DevOps and CI/CD Pipelines

Model Context Protocol links AI with DevOps tools, automating code reviews, deployments, and security to speed up workflows and reduce manual work.

March 19, 2026

by Suman Basak

· 4,614 Views · 1 Like

Building Fault-Tolerant Spring Boot Microservices With Kafka and AWS

Build fault-tolerant Spring Boot microservices with Kafka using retries, DLTs, idempotency, and AWS Lambda for scalable, resilient event processing.

March 19, 2026

by Mallikharjuna Manepalli

· 4,163 Views

How Multimodal AI Is Reshaping Kubernetes Workflows: Future-Proofing Your Platform

Kubernetes is becoming the backbone of multimodal AI — combining GPUs, smart schedulers, and model-serving tools to run text, image, etc., cost-effectively.

March 16, 2026

by Vamshidhar Parupally

· 4,064 Views

Understanding Custom Authorization Mechanisms in Amazon API Gateway and AWS AppSync

This article compares the use of custom Lambda authorizers in AWS API Gateway and AWS AppSync, focusing on their respective approaches to API authorization.

March 13, 2026

by Leslie Daniel Raj

· 4,737 Views · 2 Likes

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