Testing, Deployment, and Maintenance Resources

Feature Flag Patterns: From Release Control to Runtime Resilience

A practical taxonomy of feature flag patterns for safer releases, experiments, resilience, access, migration, and runtime control.

August 28, 2026

by Josephine Eskaline Joyce, Ph.D

CORE

· 2,025 Views · 1 Like

Member Spotlight: Shamsher Khan

We caught up with Shamser to talk about golden prompts, AI-assisted engineering, and how teams can build more consistent and governed AI workflows.

August 28, 2026

by Dominique Roller

· 2,658 Views · 2 Likes

How to Diagnose and Recover Stuck Temporal Workflows

Diagnose stuck Temporal workflows via event history, use LangGraph for triage, and recover safely with retry, reset, signal, or cancel.

August 27, 2026

by Akhil Madineni

CORE

· 2,335 Views · 3 Likes

Understanding RabbitMQ Exchange Types in Spring Boot

This blog delves into various RabbitMQ exchange types used within a Spring Boot application, highlighting examples and configurations.

August 26, 2026

by Gunter Rotsaert

CORE

· 2,299 Views · 2 Likes

The 2026 Observability Audit: Separating Single Vendor Silos From Community Innovation

Learn how to evaluate open-source observability projects, compare vendor contributions, and identify healthy community-driven projects beyond marketing claims.

August 26, 2026

by Chris Ward

CORE

· 2,416 Views · 1 Like

Containerizing Spark and Lakehouse Development with Docker

Use Docker to create a local lakehouse environment that mirrors production, while improving data engineering workflows, Spark testing, and CI reliability.

August 25, 2026

by Aniket Abhishek Soni

· 2,219 Views · 2 Likes

The Code-Volume Delusion: Rethinking Engineering Velocity in the AI Era

AI is shifting the engineering bottleneck downstream, requiring leaders to prioritize PR cycle times, CI/CD stability, and architectural health.

August 25, 2026

by Rupesh Dabbir

· 2,617 Views · 1 Like

LLM Judgment for Document Pipelines: Bounded Pools and Typed Verdicts

Use LLMs to judge a bounded pool of documents, returning typed relevance that make pipeline decisions easier to inspect, monitor, and improve.

August 25, 2026

by Deepak Gupta

· 1,858 Views · 1 Like

The New Technical Debt: Working Code No One Can Explain

AI can help code work faster, but unexplained code becomes technical debt when it needs to be changed, scaled, or trusted.

August 25, 2026

by Asim Rais Siddiqui

· 1,569 Views · 2 Likes

Multi-Account AWS Architecture: Isolating PHI Workloads Without Slowing Down Engineering Teams

Multi-account AWS architecture enforces PHI workload isolation at the boundary level — making access control provable rather than arguable during security reviews.

August 24, 2026

by Garik H

· 1,961 Views

Ground Truth for AI-Written Code: Why Context Matters More Than Prompts

AI coding assistants become significantly more powerful when they understand Git history, project architecture, and shared engineering context.

August 24, 2026

by Troian Serhii

· 1,913 Views · 2 Likes

Commissioning at Scale Is a Sequencing Problem, Not a Testing Problem

Learn how to scale multi-site deployments with reusable environments, deterministic configuration, dependency gates, and parameterized testing for reliable delivery.

August 24, 2026

by Savni Sandbhor

· 1,211 Views

Alert Fatigue as a System Design Problem: Engineering On-Call Reliability in Modern SRE Teams

Alert fatigue from excessive notifications exhausts on-call engineers, eroding SRE culture. True reliability requires resilient system design, not heroic human effort.

August 21, 2026

by Oreoluwa Omoike

· 1,393 Views

How to Build and Scale Generative AI Infrastructure

Managing generative AI at scale requires strategies to reduce costs and latency, improve observability, and build reliable infrastructure.

August 21, 2026

by Chidiebere Njoku

· 1,575 Views · 4 Likes

Reliability Without Control: Operating SRE Practices in Platform–SaaS and API-Dependent Systems

Modern SRE shifts focus from component health to user experience, relying on accurate signals and human response to sustain reliability despite reduced control.

August 20, 2026

by Oreoluwa Omoike

· 1,463 Views · 1 Like

When Downtime Means an Unlocked Front Door

Component metrics tell you what broke. Journey metrics tell you what the customer felt. Measure end-to-end and give error budgets teeth.

August 20, 2026

by Naveen Goel

· 1,396 Views · 1 Like

AWS Bedrock vs Vertex AI vs Azure Foundry: Stop Comparing Benchmarks, Start Asking This Instead

Compare AWS Bedrock, Google Vertex AI, and Azure AI Foundry to choose the right cloud for your AI workloads based on data, models, and governance.

August 20, 2026

by Balaji Venkatasubramaniyar

CORE

· 2,005 Views · 2 Likes

How Docker Is Becoming an AI Development Platform

Local AI dev chaos fixed by moving LLM, vector DB, and app into one Compose file, reproducible, but it's not a Kubernetes replacement.

August 19, 2026

by Pruthvi Raj Seknametla

· 31,672 Views · 5 Likes

Containerizing LLMs: Best Practices for Docker-Based AI Workloads

Bloated LLM Docker images and silent OOM kills taught me: separate weights from images, use runtime, not devel bases, and budget GPU/host memory separately.

August 19, 2026

by Pruthvi Raj Seknametla

· 29,136 Views · 3 Likes

How Different Docker Engine Versions Led to Partial Traffic Unavailability in Docker Swarm

This article is based on a real-world production case. Different Docker Engine versions on Swarm nodes led to partial traffic degradation on one of the manager nodes.

August 19, 2026

by Denis Tiumentsev

· 1,686 Views · 1 Like

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