Business of DevOps
Why Up to 70% of SRE Initiatives Stall Before They Scale — and How to Break the Plateau
Akash Thakur | | automation, cloud-native reliability, Cultural Change, DevOps transformation, error budgets, incident management, KPIs, leadership alignment, legacy bottlenecks, modernization barriers, observability, Operational Excellence, reliability engineering, site reliability engineering, SLOs, SRE, SRE adoption challenges, SRE maturity model, SRE plateau, SRE training, toil reductionMany SRE initiatives stall because organizations adopt the title without the principles. True SRE success requires leadership vision, cultural change, shared KPIs and continuous maturity measurement—not tools alone ...
From What Now to What’s Next: How AI Is Closing the Gap Between Detection and Resolution
Howard Beader | | AI agents, AI-driven operations, anomaly detection, APM limitations, dependency failures, devops, distributed systems, incident response, IT operations, LLM fragility, MTTI, mttr, observability, operational resilience, outage detection, prescriptive monitoring, proactive remediation, root cause analysis, SRE tools, telemetry correlationModern DevOps teams face outages driven by complex dependencies and AI-enabled systems; success now depends on moving from reactive monitoring to prescriptive, AI-assisted incident resolution that shortens MTTI and MTTR ...
Patch or Perish: The Brutal Truth About Vulnerability Management in 2025
Samuel Ogbonna | | Active Risk AI, AI-powered VM, attack surface management, breach costs, Cisco VM, continuous monitoring, CVEs 2025, cybersecurity best practices, delayed patching, exploit prediction, IBM data breach report, Kenna Security, machine learning risk scoring, patch management, predictive prioritization, Rapid7, remediation automation, risk-based prioritization, Tenable, threat-aware prioritization, unpatched vulnerabilities, Vulcan Cyber, vulnerability management, vulnerability scanningVulnerability management in 2025 is overwhelmed by escalating CVEs and costly breaches; organizations must shift from slow, manual patching to continuous, risk-based, AI-powered remediation to stay secure ...
What I’m Thankful for in DevOps This Year: Living Through Interesting Times
Jenn Yarnold | | agentic AI, AI in DevOps, automation in DevOps, burnout in engineering, complexity in DevOps, compliance challenges, developer experience, devops, devops culture, DevOps gratitude, DevOps inclusivity, devsecops, generative AI, hybrid work, incident response, innovation pace, internal developer platforms, machine learning workflows, open source community, platform engineering, regulatory landscape, Remote DevOps, SBoM, secure supply chain, security by design, security theater, self-service pipelines, shift left security, talent crunch, tech layoffs, Tool SprawlAlan reflects on a chaotic yet inspiring year in DevOps, highlighting the rise of AI in engineering, the maturation of DevSecOps, the evolution of hybrid work culture, the surge of platform engineering ...
Endor Labs Adds AI SAST Tool to Discover Vulnerabilities in Code
Mike Vizard | | agentic AI, AI code analysis, AI coding tools, application security, broken access control, code scanning, code security, developer security tools, devsecops, false positives reduction, LLM code vulnerabilities, multimodal static analysis, OWASP Top 10, secure design, Software Supply Chain Security, Static Application Security TestingEndor Labs launches an agentic AI-powered SAST tool that drastically reduces false positives, identifies deeper code flaws and helps DevSecOps teams secure AI-generated code across 40+ languages ...
How to Build Engineering Teams That Drive Outcomes, not Outputs
Catherine McGarvey | | customer and business outcomes, devops, Engineering best practices, engineering silos, outcome-based teams, Product and designOutcome-based engineering teams focus on delivering real customer and business impact, aligning goals, adapting quickly, and collaborating across roles to drive results ...
Modular & Shift-Left Observability for Modern DevOps Pipelines
Shift-left observability makes monitoring a modular, built-in part of DevOps—improving reliability, cost efficiency, and visibility across modern cloud-native systems ...
The Hidden Cost of “Free” Open Source Infrastructure
John Amaral | | accountability, Modern container security, modern software development, Open Infrastructure, Sustainable stewardship, transparencyWhen the OpenSSF, PyPI, Rust Foundation, and OpenJS recently declared that "Open Infrastructure Is Not Free," they highlighted a crisis that affects every organization building modern software. Behind every container image pulled, every vulnerability scan and every automated ...
Five Great DevOps Job Opportunities
This Thanksgiving week, we share a fresh DevOps jobs report: Top roles and opportunities for professionals looking to level up their careers ...
Bindplane Adds AI Ability to Automate Configuring OpenTelemetry Pipelines
Mike Vizard | | AI for telemetry data, AI log parsing, AI-driven DevOps tools, automated parsers, data pipeline optimization, DevOps observability, generative AI telemetry, log type detection, observability automation, OpenTelemetry automation, Pipeline Intelligence, telemetry data management, telemetry pipeline optimization, telemetry pipeline scalingBindplane is adding AI-powered Pipeline Intelligence to automate log parsing and optimize OpenTelemetry pipelines as telemetry volumes surge across modern DevOps environments ...
Scaling AI the Right Way: Platform Patterns for Performance and Reliability
Sandeep Bharadwaj Mannapur | | AI DevOps, AI observability, AI performance engineering, AI pipeline optimization, data ingestion performance, distributed training, elastic training, end-to-end AI performance, GPU utilization, inference latency, low-latency inference, MLOps automation, model caching, model serving optimization, performance bottlenecks in AI, platform engineering for AI, scalable AI systems, streaming ingestion, training throughputAI performance breaks long before the model runs. Learn how ingestion speed, elastic training, low-latency inference, observability and automation create reliable, scalable AI systems ...
Why AI Integration in DevOps is so Important
Andrej Kovacevic | | AI cybersecurity tools, AI DevSecOps, AI in DevOps security, AI pipeline monitoring, AI threat detection, AI-powered code analysis, automated vulnerability scanning, behavioral threat analysis, CI/CD security automation, DevOps anomaly detection, machine learning security, malware detection AI, predictive security analytics, real-time DevOps protection, secure DevOps pipelinesAI is transforming DevOps security with real-time threat detection, automated scanning and predictive analytics. Learn how AI strengthens CI/CD pipelines and protects modern software delivery ...
