Testing, Deployment, and Maintenance Resources

RPA Validation in Life Sciences: 5 Pitfalls and How to Avoid Them

RPA in life sciences isn’t just about reducing costs or manual effort. It is about building bots that are up to regulations and scale globally.

January 7, 2026

by Venkatesh Kanneganti

· 1,289 Views · 1 Like

Developer Tools That Actually Matter in 2026

The developer tools making real differences today are the ones solving the actual problems we face as developers every day.

January 6, 2026

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 8,281 Views · 2 Likes

6 Software Development and DevOps Trends Shaping 2026

In 2026, software teams scale delivery safely and efficiently using AI agents, semantic layers, platform engineering, supply-chain security, observability, and FinOps.

January 6, 2026

by Boris Zaikin

CORE

· 27,826 Views · 6 Likes

Effectively Managing AI Agents for Testing

Agentic AI can transform testing—but only if it’s controlled. Start small, add guardrails, integrate tools, and scale autonomy once reliability and cost are proven.

January 6, 2026

by John Vester

CORE

· 4,457 Views · 1 Like

Beyond the Spec Sheet: Performance Tuning a Massive DWH Migration on AWS

Migrating legacy data warehouses to the cloud is rarely a simple "lift and shift." Here’s a deep dive into solving EBS throughput issues on EC2.

January 5, 2026

by Dippu Kumar Singh

· 2,869 Views · 2 Likes

AutoML vs. LLMs: A Developer’s Guide to Efficient ML Pipeline Generation

While large language models (LLMs) dominate the AI conversation, AutoML remains the king for structured data. Here’s how to choose the right tool for your infrastructure.

January 2, 2026

by Dippu Kumar Singh

· 1,850 Views · 1 Like

How Generative AI Can Transform Cloud Support Operations: A Practical Framework

A practical framework for using generative AI to improve speed, quality, and customer experience in cloud support operations.

January 1, 2026

by Mayuri Dekate

· 913 Views

How Unified Data Pipelines Transform Modern AI Infrastructure

AI now uses diverse data types, and old pipelines struggle. Unified data flows centralize data, simplifying management and improving model training and performance.

December 31, 2025

by Samuel Ogbonna

· 1,588 Views · 1 Like

DevSecOps as a Strategic Imperative for Modern DevOps

DevSecOps embeds security into every stage of development, reducing risk, accelerating delivery, and strengthening both compliance and customer confidence.

December 31, 2025

by Hleb Skuratau

· 1,583 Views

Rethinking Cloud Compliance With an AI-Driven Approach

Learn how AI transforms cloud compliance with continuous monitoring, automated risk assessment, and intelligent data governance for secure operations.

December 30, 2025

by Atish Kumar Dash

· 1,853 Views · 2 Likes

Bias and Shortcut Tests for Vision Models: A Practical Test Suite From Real-World Experiments

High accuracy doesn't guarantee true understanding; your vision model might be riding on backgrounds and noise. Perform these tests before you trust it in the wild.

December 30, 2025

by Sai Teja Erukude

· 3,703 Views

Terraform Type Constraints: Best Practices for Enterprise-Scale AWS

In this article, we discuss how Terraform type constraints make AWS modules safer, more reusable, and catch configuration bugs long before production.

December 29, 2025

by Thiyagarajan Mani Chettier

· 1,838 Views · 2 Likes

Optimizing Java Applications for Arm64 in the Cloud

In the first part of this series, learn how to tune the JVM for cloud workloads, optimize heap sizing, CPU usage, and more for better Java performance.

December 26, 2025

by Dave Neary

· 3,845 Views · 6 Likes

The Architect's Guide to Logging

Stop writing useless, expensive log files. Adopt structured logging and centralization to transform your logs from a wall of text into a powerful, secure debugging tool.

December 26, 2025

by Akash Lomas

· 2,363 Views · 2 Likes

Decoupling Azure Releases With GitHub Actions

Decouple build artifacts from deployment using GitHub Actions and JSON config maps to prevent drift and enable safe, automated Azure deployments.

December 25, 2025

by Dippu Kumar Singh

· 1,675 Views · 1 Like

A Principled Framework for Scalable Experimentation and Reliable A/B Testing

Scalable experimentation framework enabling rigorous A/B testing, reliable metrics, and data-driven decisions across engineering teams.

December 25, 2025

by Sayantan Ghosh

· 1,647 Views · 1 Like

Autonomous Pipelines: Transforming CI/CD With Full Automation

The future of CI/CD is about moving beyond simple automation to truly intelligent, autonomous systems and code flows that flow seamlessly and safely to production.

December 25, 2025

by Lakshmi Prasad Rongali

· 1,791 Views · 2 Likes

Penetration Testing Strategy: How to Make Your Tests Practical, Repeatable, and Risk-Reducing

Learn how to build a repeatable, risk-aligned penetration testing strategy that improves security outcomes, speeds remediation, and supports engineering teams.

December 24, 2025

by Ava Stratton

· 1,332 Views · 1 Like

Implementing Automated Validation and Anomaly Detection

Ensure high-quality data in large-scale pipelines with automated validation, anomaly detection, and scalable frameworks that maintain accuracy and consistency.

December 23, 2025

by Venkataram Poosapati

· 1,822 Views · 1 Like

Blockchain + AI Integration: The Architecture Nobody's Talking About

Blockchain-AI integration demands new architectures: off-chain computation with on-chain verification, solving trust issues in decentralized intelligent systems.

December 23, 2025

by Dinesh Elumalai

CORE

· 3,043 Views · 2 Likes

The Latest Testing, Deployment, and Maintenance Topics