Contributed Content
What the Microservices Era Can Teach Us About AI
Mark Fussell | | agent identity, agent observability, agent runtime, agentic AI, agentic durable execution, AI agents, AI architecture, AI Governance, AI infrastructure, AI security, autonomous agents, cloud-native AI, distributed systems, durable execution, LLM observability, microservices, Open Standards, platform engineering, vendor lock-in, workflow orchestrationAI agents are not just microservices with LLMs attached. Their long-running, non-deterministic workflows demand durable execution, per-step identity, governance and observability ...
Is Your New DevSecOps Tooling Reducing Work Or Just Adding to It?
Yogesh Tatwal | | CI/CD, devsecops, SAST, Security scanning, software delivery, Software Supply ChainSecurity belongs in the software delivery pipeline. The harder question is where, how often and at what cost. Many pipeline teams eventually add security scanning to CI/CD, and relatively few go back ...
Treat Business Workflow Changes Like Deployments
Marcelo Cedeño | | business automation, change management, CI/CD, devops, release management, workflow automationBusiness automation often reaches production without the release discipline applied to application code. A routing rule changes, an approval threshold moves, or an integration starts writing to a new system. The edit ...
Developer Resistance to AI Isn’t Fear – It is Identity
Lukasz Lazewski | | 1000x developer, agentic coding, AI adoption, AI agents, AI code review, AI coding tools, AI Orchestration, AI transformation, AI-assisted coding, AI-generated code, coding with AI, developer accountability, developer experience, developer identity, developer motivation, developer productivity, developer resistance to AI, developer trust in AI, developer workflow, Engineering leadership, Future of Programming, human-AI collaboration, software architecture, software developers, software engineeringDeveloper resistance to AI is less about job loss than a deeper shift from hands-on coding to supervising, validating and orchestrating AI-generated work ...
Production-Safe Testing: The Missing Piece in Most DevSecOps Strategies
Dharmesh Acharya | | application security, continuous security, devsecops, Production-Safe Testing, security testingMost DevSecOps teams invest heavily in security before deployment, yet attackers target the production environment where applications, APIs, and user behavior are constantly changing. If security validation stops before release, critical risks ...
Reducing MTTR: A Practical Guide to Correlating Incidents with AIOps
Neel Shah | | AI for SRE, AI observability, AI-driven incident correlation, Aiden AI Copilot, Aiden for SRE, AIOps, alert correlation, alert fatigue, alert storms, automated remediation, automated root cause analysis, devops, Distributed Tracing, grafana, incident correlation, incident management, incident response, Jaeger, Loki, mean time to resolution, metrics logs traces, mttr, observability, ObserveNow, on-call automation, pattern-based correlation, Prometheus, root cause analysis, service dependency mapping, SRE automation, telemetry correlation, topology-aware correlationAI-driven incident correlation helps SRE and DevOps teams reduce alert noise, identify root causes faster and improve MTTR by connecting related metrics, logs and traces ...
Developer’s Checklist: How to Build an FHE Application
David Archer | | BFV, BGV, bootstrapping, Chebyshev approximation, ciphertext packing, CKKS, confidential computing, encrypted cloud computing, encrypted computation, encrypted machine learning, federated learning, FHE, FHE application development, FHE development checklist, FHE parameters, FHE performance, FHE testing, fixed-point arithmetic, fully homomorphic encryption, homomorphic encryption, multiplicative depth, Niobium FHE, noise budget, OpenFHE, polynomial approximation, privacy-preserving AI, privacy-preserving computing, secure computation, SIMD encryptionA practical guide to building fully homomorphic encryption applications, covering architecture, noise budgets, polynomial approximations, parameter choices, SIMD packing, testing and performance optimization ...
The Agent Proposes, the Pipeline Disposes: Controls for AI-Authored Change
Veera Ravindra Divi | | agent permissions, agentic coding, AI change control, AI code review, AI coding agents, AI Governance, AI pull requests, AI software development, AI-authored code, AI-generated code security, autonomous coding agents, bounded-write agents, change-budget gates, CI/CD security, human-in-the-loop, in-toto, independent evals, least-privilege, policy as code, protected paths, provenance attestation, provenance verification, Secure DevOps, signed attestations, Sigstore, SLSA, Software Supply Chain Security, staged autonomyWhen agents write code and open pull requests faster than humans can read them, ‘the diff looked fine’ stops being a control. The durable controls live outside the agent’s reasoning loop ...
What You Cannot See Will Break Your LLM App: A Practitioner Guide to Production Observability
Gourav Singla | | AI monitoring, AI observability, AI quality monitoring, automated AI evaluation, Distributed Tracing, finish reason, hallucination monitoring, LLM cost observability, LLM latency, LLM monitoring, LLM observability, LLM tracing, model-graded evaluation, OpenTelemetry GenAI, OTel GenAI, production AI reliability, production LLMs, prompt failures, prompt regression, provider monitoring, quality drift, token budget alerting, token cost monitoringTraditional application observability was built around a simple mental model: Your code runs, metrics come out and when something breaks, the logs tell you why. Large language models (LLMs) break that model ...
Software Deployment Strategies for Enterprise Teams: A Scenario-Based Guide to Choosing the Right Approach
Sophie Lane | | blue-green deployment, blue-green strategy, canary deployment, canary release, CI/CD, database schema changes, deployment risk management, deployment strategy, deployment verification, DevOps deployment, enterprise software deployment, expand-contract pattern, feature flag management, feature flags, production deployment, production reliability, release management, rollback strategy, rolling deployment, rolling update, software deployment strategies, software release strategyChoosing the right software deployment strategy depends on the scenario. Get a practical decision framework for enterprise teams ...
Why CI/CD Security Testing Is Going Autonomous (and Why It Should Stay Local)
mehdi boutayeb | | application security, autonomous security testing, CI/CD, devsecops, penetration testing, Software Supply ChainContinuous integration and delivery changed the tempo of software. Teams merge dozens of times a day, infrastructure is redefined on every commit, and a new build can reach production in minutes. Security ...
How Test Management Tools Give Engineering Teams the Visibility They Need to Ship With Confidence
Sancharini Panda | | API testing, Automated testing, change-aware testing, CI/CD, code coverage, coverage visibility, deployment confidence, deployment risk, DevOps Testing, engineering teams, flaky tests, Keploy, Quality Assurance, regression testing, software delivery, software testing, test case currency, test case management, test coverage, test coverage gaps, test management tools, test traceabilityTest management tools do more than track results. Learn how they give engineering teams the coverage visibility needed to ship with confidence ...
