Testing, Deployment, and Maintenance Resources

A guide comparing Fixture and Lazy patterns in test automation, showing how on-demand object creation improves performance and scalability in Playwright frameworks.

February 11, 2026

by Kailash Pathak

CORE

· 2,003 Views

Shift-Left QA With Octopus Deploy: Orchestrating Katalon Tests in Your Pipeline

Integrate Octopus Deploy with Katalon to automate UI and API testing, gate releases, publish reports, and improve deployment reliability across environments.

February 11, 2026

by Shalini Sudarsan

· 1,459 Views

OCI Images as Kubernetes Volumes: A New Era for Data Management

A new volume type has recently joined the Kubernetes ecosystem: the image volume. This feature promises to change how we manage static data and configurations.

February 10, 2026

by Manuel Morejón

· 1,681 Views

Visualizing Exposure Bias Using Simulation

Learn how exposure bias in A/B tests can skew results and how visualization helps detect sample imbalances before interpreting lift.

February 10, 2026

by Aneesh K Sajan

· 865 Views

Query-Aware Retrieval Routing for Analytics on AWS: When to Use Redshift, OpenSearch, Neptune, or Cache

Use a query router for LLM analytics — Redshift (KPIs), OpenSearch (definition), Neptune (lineage), and Cache (repeats) — to improve accuracy, latency, and costs.

February 10, 2026

by Anusha Kovi

CORE

· 945 Views · 1 Like

Secure Multi-Tenant GPU-as-a-Service on Kubernetes: Architecture, Isolation, and Reliability at Scale

GPU-as-a-Service makes it easier to share accelerators, but it also raises concerns about isolation and security. This introduces a secure Kubernetes architecture.

February 10, 2026

by Harvendra Singh

· 1,558 Views

Jakarta Data in Jakarta EE 12 M2: From Repositories to a Unified Data Access Model

Jakarta Data in Jakarta EE 12 M2 extends the EE 11 repository model with stateful operations, unified querying, and SQL/NoSQL alignment for domain-centric data access.

February 10, 2026

by Otavio Santana

CORE

· 1,091 Views · 1 Like

The New Testing Pattern: Standardizing Regression for Cloud Migrations

Migrating legacy monolithic systems to the cloud is risky. Here is a proven pattern for automating regression testing at scale by replaying production traffic.

February 9, 2026

by Dippu Kumar Singh

· 801 Views

Building a Self-Healing Observability System with AWS Bedrock AgentCore

This article explains how to build a self-healing observability system with AWS Bedrock AgentCore using AI agents to analyze and remediate infrastructure issues.

February 9, 2026

by Lakshmi Narayana Rasalay

· 1,423 Views

Agentic DataOps With Guardrails: MCP and MWAA for Pipeline Incident Response

Treat MWAA failures like incident response. Use MCP for safe, bounded tools and a human-approved, audited, validated DAG trigger.

February 9, 2026

by Anusha Kovi

CORE

· 567 Views · 1 Like

Model Context Protocol Vs Agent2Agent: Practical Integration with Enterprise Data

MCP is production-ready for LLM-to-tool integration; A2A enables emerging multi-agent collaboration. They complement, not compete, and neither replaces Spark or Airflow.

February 9, 2026

by Ram Ghadiyaram

CORE

· 1,307 Views · 1 Like

The Real Cost of DevOps Backup Scripts

Backup scripts are one way to protect data, but are they the most secure backup solution? Let’s explore the potential alternatives.

February 6, 2026

by Milosz Jesis

· 586 Views

Hybrid Vector Graph with AI Agents for Software Test Case Creation

This article shows how multi-agent, vector-graph systems automate test creation, cutting manual effort while increasing coverage.

February 6, 2026

by Mohanakrishnan Hariharan

· 798 Views

ITSM Uncovered: How IT Teams Keep Businesses Running Smoothly

Modern ITSM is evolving from ticket-based incident handling into intelligent, automated resilience for cloud-native systems.

February 6, 2026

by Akshay Pratinav

· 1,529 Views · 1 Like

What Is DevOps Automation? A Beginner-Friendly Guide

DevOps automation automates CI/CD, infrastructure, and operations to reduce manual work, improve reliability, and help teams scale software delivery.

February 5, 2026

by Ankush Madaan

· 487 Views · 1 Like

Principles for Operating Large-Scale Global Production Systems with AI Innovation Across the Stack

AI speeds detection and remediation, protects error budgets, and boosts availability, linking reliability to user satisfaction at scale.

February 5, 2026

by Sayantan Ghosh

· 645 Views

UX Research in the Age of AI: From Validation to Anticipation

In the age of AI, UX Research must evolve from validation to proactive problem framing. Researchers who study trust, inclusion, and intent shape AI that works for people.

February 4, 2026

by Priyanka Kuvalekar

· 384 Views

Automating Lift-and-Shift Migration at Scale

Moving 100+ servers to the cloud manually is a recipe for disaster. Here is an architectural pattern for building an automated Migration Factory.

February 4, 2026

by Dippu Kumar Singh

· 638 Views

Building SRE Error Budgets for AI/ML Workloads: A Practical Framework

ML systems decay gradually instead of breaking suddenly, so we need error budgets for model accuracy, data freshness, and fairness — not just uptime.

February 3, 2026

by Varun Kumar Reddy Gajjala

· 1,900 Views · 1 Like

Selenium Test Automation Challenges: Common Pain Points and How to Solve Them

Selenium adoption is easy; scaling is hard. Use explicit waits, Page Object Model, and stable locators. Treat test infrastructure as a real engineering investment.

February 2, 2026

by Oliver Howard

· 1,218 Views · 2 Likes

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