Contributed Content
How I Consolidated Duplicate Delivery Pipelines With Parameters and Build Tags
Ahmed Tariq | | Azure DevOps, build pipelines, CI/CD, deployment automation, devops, Release PipelinesTwo modules in a repository had near-identical Azure DevOps build and release definitions. A third would have required another pair. The delivery chain used five definitions: one change decider, two builds, and ...
Can Rust Improve Real Django API Performance? Testing Django-Bolt Beyond Synthetic Benchmarks
Dmitry Orlyakov | | Actix Web, API benchmarks, API performance, backend development, database performance, devops, Django, Django performance, Django-Bolt, msgspec, PyO3, Python, Python performance, REST APIs, Rust, serialization, web performanceDjango-Bolt uses Rust to accelerate Django request handling, but real-world gains depend on database work, authentication, serialization and where an API actually spends its time ...
Why MLOps Pipelines Need Security Audits
Natacha Bakir | | AI security, Airflow Variables, Apache Airflow, artifact integrity, auditability, data validation, devsecops, machine learning security, ML pipelines, MLOps, model metadata, model security, pipeline security, SecMLOps, secrets management, SHA-256A practical SecMLOps experiment shows how Apache Airflow ML pipelines can adopt DevSecOps controls for secrets, validation, artifact integrity and auditable security evidence ...
The Three Tiers of Agentic Incident Response: When to Trust AI Autonomy
Neel Shah | | agentic AI, AI agents, AI Governance, AI operations, AIOps, automation guardrails, autonomous remediation, devops, human-in-the-loop, incident management, incident response, mttr, observability, production reliability, Runbooks, site reliability engineering, SREA three-tier model for agentic incident response balances AI automation with human oversight, matching autonomy to risk, reversibility, blast radius and diagnostic confidence ...
The Most Dangerous Reliability Failures Aren’t Component Failures
Semyon Slepov | | architecture, cloud infrastructure, concurrency, devops, Incident Analysis, memory exhaustion, Production Failures, provisioning systems, reliability engineering, resource limits, SRE, STPA, system design, system reliability, systems safety, workload managementA production provisioning failure shows why reliability problems can emerge from interactions between healthy components, and how system-level constraints and feedback can prevent them ...
Stop Chasing 100% Test Coverage: Why DevOps Teams Need to Test Smarter, Not More
Adonis Celestine | | AI testing, application security, CI/CD, continuous testing, devops, PRisMA, Product Risk Management, QA, QFD, Quality Assurance, Quality Functional Deployment, Rapid Risk Assessment, regression testing, release management, risk-based testing, RRA, software development, software quality, software testing, test automationEvery software team eventually runs into the same question: How much testing is enough? For years, the default answer has been "more." More automated tests. More regression suites. More environments. More devices ...
Hybrid Software Development: Benefits and Challenges
Roman Davydov | | development teams, devops, Hybrid Software Development, IT strategy, outsourcing, software developmentFortunately, companies do not always have to choose between in-house vs outsourcing. Instead they can adopt a hybrid development strategy, which combines the capacities of internal and external IT teams. This approach ...
DevOps’ Three Ways Were Never About Tooling
Somewhere along the way, DevOps became a tooling conversation. Ask someone how mature their DevOps practice is and the answer will often involve CI/CD pipelines, automated testing, infrastructure as code, observability, deployment ...
Why AI Agents Shouldn’t Guess at Vulnerability Exploitability
Harish Gaggar | | AI agents, application security, SBoM, Software Supply Chain, vulnerability management, vulnerability prioritizationVulnerability prioritization is not a language problem. The safest agent architectures use models to interpret and explain, while deterministic systems traverse the evidence. Ask a security team a simple question: Of the ...
Test Creation Was Never the Bottleneck
Something specific happened to software delivery in the past two years. The 2026 survey data is unusually clear about what it was. Sonar's 2026 State of Code Developer Survey found that AI-generated ...
DevOps in Financial Services: Moving Fast Without Losing Control
Prachi Tembhekar | | compliance, devops, financial services, observability, platform engineering, resilienceDevOps is often associated with speed: shorter release cycles, greater automation, faster feedback and increased developer autonomy. In financial services, however, speed is only one part of the equation. A platform supporting ...
Your DevOps Pipeline Is Already a Sustainability Program
Srinath Gopinath | | CI/CD, Cloud Computing, Cloud Sustainability, devops, GreenOps, Sustainable EngineeringDuring my doctoral research on modern engineering practices and operational efficiency, one pattern kept surfacing that I did not expect to find. The engineering teams making the most measurable progress on sustainability ...
