Latest Articles
Second Coming of Shai-Hulud Cyberattack Ravages JavaScript Repositories
A major expansion of the self-propagating Shai-Hulud cyberattack aimed at popular node package managers (npms) used by JavaScript application developers is creating a major headache for DevSecOps teams around the globe. Based ...
The Future of DevOps Still Has a Pulse
Anshul Sharma | | agentic DevOps, AI (Artificial Intelligence), AI Governance, AI infrastructure, devsecops, kubernetesOver the last few years, we have watched our industry get swept up in the promise of AI agents. The pitch is compelling: tell a system “Deploy this workflow and roll back ...
What Fuels AI Code Risks and How DevSecOps Can Secure Pipelines
Nitin Garg | | AI code risks, AI code security, devsecops, SBoM, secure pipeline, zero-trust securityModern development teams are under constant pressure to deliver fast, innovate continuously, and stay clear of security threats; all at the same time. Every new feature, every accelerated release, carries the hidden ...
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 ...
Three Strategies for Winning the AI Race With DevOps
Marty Puranik | | AI deployment speed, AI DevOps, AI in DevOps pipelines, AI observability, AI pipeline efficiency, AI resource management, AI-driven DevOps strategies, cost-efficient GPU hosting, devops automation, distributed training, faster model training, GPU hosting for AI, GPU infrastructure, HPC for AI, MLOps optimization, model optimization, scalable AI workflowsAI is transforming DevOps. Learn how faster model training, optimized pipelines and smarter GPU infrastructure help teams deliver reliable, scalable AI workflows ...
