Contributed Content
The Evolving Role of Observability in DevOps
DevOps practices have fundamentally changed how software is delivered, operated, and improved. At their heart, DevOps methodologies seek to unify development and operations, enabling teams to ship changes more quickly while maintaining ...
How to Create an AI Acceptable Use Policy
When teams know which tools are acceptable and which data are off-limits, AI becomes a disciplined advantage rather than a quiet source of risk. ...
The “Day 2” AI Problem: Why Standard API Gateways Fail at GenAI Scale
Injecting GenAI into applications is deceptively easy. Need a new chatbot backed by an LLM? Grab an OpenAI API key and you can throw together an MVP in an afternoon. This is ...
When Millions Arrive in a Minute: Why Reactive Autoscaling Fails and the Predictive Fix
For high-heat events where demand arrives faster than readiness can be achieved, predictive scaling is a structural advantage. ...
Why DevOps Is Critical for Modern Business Resilience
Today’s business world operates in a state of constant change. What the customer wants to buy changes quickly, new competitors appear overnight, and cyber threats are changing faster than ever. In this ...
Observability-Driven Continuous Testing in Cloud-Native DevOps
Observability transforms continuous testing from quality gates into reliability signals. Cloud-native teams ship faster because they know their systems better — traces reveal bottlenecks, synthetics catch regressions and security telemetry prevents breaches. ...
AI in Production Has a Governance Problem — ISO/IEC 42001 is Starting to Solve It
Moving fast without losing control is the core promise of DevOps. Extending this discipline to AI is the next logical step, supported by existing frameworks. ...
Migration Observability: Measure Meaning, Not Movement
Traditional operational observability focuses on latency, errors, throughput and saturation. Migration observability needs a different category: Semantic drift ...
Capturing Real API Behavior for Regression Testing: Architecture and Implementation
Move beyond scripted predictions. Learn how intelligent regression testing captures real API behavior and detects failures before production ...
Your CI/CD Pipeline Has Non-Human Identities You Forgot About
A deployment starts failing late on a Friday evening. The initial assumption is that something changed in the application release. Teams start checking container images, Terraform plans and recent commits. Nothing looks ...
The Rise of Composable Architectures to Replace Traditional Platforms
Traditional monolithic platforms have served their purpose. As technologies like artificial intelligence and quantum computing usher in a new digital age, flexible and modular architectures will take their place. Developers and cloud ...
The Five Biggest Mistakes Organizations Make When Implementing SRE
From cargo-culting Google's playbook to rushing AI-powered observability into production before the fundamentals are in place, here's where SRE transformations quietly go wrong, and how to course-correct. ...

