Testing, Deployment, and Maintenance Resources

How to Integrate AI APIs Into Your Projects

AI APIs don’t have to be a nightmare, secure your keys, modularize calls, handle errors, and you’ll turn chaos into clean, scalable code.”

September 29, 2025

by Devesh Garg

· 2,686 Views · 1 Like

Phantom Liquidity: Why Microsecond Trades Break the Dev Simulator

Simulators lie at the microsecond scale. Phantom liquidity emerges from clock drift and polite mocks. Build cruel simulators to reveal reality.

September 29, 2025

by Claire Rich

· 1,484 Views · 1 Like

Error Budgets 2.0 Agentic AI for SLO-Apprehensive Deployments

The article introduces error budgets 2.0, a new approach that uses agentic AI to make deployments SLO-aware and proactive rather than reactive.

September 29, 2025

by Sajal Nigam

· 1,784 Views · 1 Like

Why CI and CD Should Be Treated as Separate Disciplines (Not CI/CD)

Continuous integration and continuous delivery serve different purposes in the development pipeline — optimizing each independently leads to better outcomes.

September 29, 2025

by Shibashis Mishra

· 2,062 Views · 6 Likes

Better Data Beats Better Models: The Case for Data Quality in ML

A deep dive into the importance of data quality and strategies for improvement. We also analyze some real-world examples demonstrating the importance of data quality.

September 29, 2025

by Madhura Raut

· 1,854 Views · 3 Likes

Networking’s Open Source Era Is Just Getting Started

Open source is transforming networking from slow, standards-driven protocols into agile, programmable, Kubernetes-ready infrastructure.

September 26, 2025

by Nico Vibert

· 5,227 Views · 3 Likes

Why One-Week Sprints Make Vibe Coding Work Better

Learn how one-week sprints with vibe coding boost Agile success by enabling faster delivery, reducing AI errors, and improving collaboration across teams.

September 26, 2025

by Saravanan Muniraj

· 2,961 Views · 4 Likes

Basic Security Setup for Startups

In this article, I share the key stages of building a secure startup — from IDPs and network planning to SIEM, SOAR, and post-live security best practices.

September 26, 2025

by Hleb Skuratau

· 3,465 Views · 3 Likes

Boosting Developer Productivity in Kubernetes-Driven Workflows: A Practical Checklist

Teams can ultimately boost Kubernetes productivity with the use of better tooling, automation, observability, and platform engineering practices.

September 25, 2025

by Louis-Guillaume Morand

· 3,209 Views · 2 Likes

AWS Glue Crawlers: Common Pitfalls, Schema Challenges, and Best Practices

Learn key challenges and best practices for using AWS Glue crawlers, from handling CSV schema issues to schema evolution, partitions, and ETL jobs.

September 25, 2025

by Saradha Nagarajan

· 3,933 Views

Is Anyone There? Listening to Your Users Through Conversational AI Observability

Your AI chatbot is failing in ways traditional analytics can't see. This leaves you, the Product Manager, guessing what to fix based on vague user complaints.

September 25, 2025

by Harikrishnan Ramadass

· 1,738 Views

Lessons Learned From Building Production-Scale Data Conversion Pipelines

Converting large-scale enterprise data between systems is less about perfection than about making the right tradeoffs and engineering for scale and flexibility.

September 25, 2025

by Charles Wong

· 1,379 Views

Death by a Thousand YAMLs: Surviving Kubernetes Tool Sprawl

Kubernetes growth brings cluster and tool sprawl, driving complexity, cost, and security risks. Learn about emerging solutions like platform engineering and AI.

September 24, 2025

by Yitaek Hwang

CORE

· 4,184 Views · 1 Like

Resilient Data Pipelines in GCP: Handling Failures and Latency in Distributed Systems

Learn resilience strategies for Google Cloud data pipelines. Balance latency, reliability, and recovery with Pub/Sub, Dataflow, BigQuery, and SRE practices.

September 24, 2025

by Balakrishna Aitha

· 1,890 Views · 2 Likes

Shipping Responsible AI Without Slowing Down

Add robustness, monitoring, alignment, and systemic safety into the normal delivery pipeline using plain-language objectives and policy-as-code SLOs.

September 24, 2025

by Sarvenaz Ranjbar

· 1,843 Views · 4 Likes

Top 7 Mistakes When Testing JavaFX Applications

Testing JavaFX programs may seem non-trivial at first. This article describes the most common mistakes when testing desktop apps, their causes, and solutions.

September 24, 2025

by Catherine Edelveis

· 4,183 Views · 1 Like

Running AI/ML on Kubernetes: From Prototype to Production — Use MLflow, KServe, and vLLM on Kubernetes to Ship Models With Confidence

Run scalable, reliable AI/ML inference on Kubernetes with MLflow, KServe, and AutoML, and explore deployment, orchestration, and performance at scale.

September 23, 2025

by Boris Zaikin

CORE

· 7,606 Views · 3 Likes

AI Readiness: Why Cloud Infrastructure Will Decide Who Wins the Next Wave

Most cloud teams aren’t AI ready: Only 51% of infra is automated, and there are major governance gaps and rising costs. Infra maturity (not GPUs) will decide who thrives.

September 23, 2025

by Aharon Twizer

· 2,772 Views · 1 Like

Mastering Fluent Bit: Top 3 Telemetry Pipeline Output Plugins for Developers (Part 7)

This intro to mastering Fluent Bit covers handy tips and tricks for speeding up the inner development loop using output plugins in telemetry pipelines.

September 23, 2025

by Eric D. Schabell

CORE

· 1,530 Views · 4 Likes

Testing Automation Antipatterns: When Good Practices Become Your Worst Enemy

This article provides a look at common test automation antipatterns, why they seem useful at first, and how they create long-term problems if not addressed.

September 23, 2025

by Francisco Moreno

CORE

· 1,848 Views · 1 Like

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