AI
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 ...
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 ...
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 ...
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 ...
AI Agent Performance Testing in the DevOps Pipeline: Orchestrating Load, Latency and Token Level Monitoring
Sudhakar Reddy Narra | | AI agent debugging, AI agent load testing, AI agent performance testing, AI CI/CD, AI DevOps, AI observability, AI orchestration metrics, AI-specific alerts, context utilization monitoring, context window saturation, cost-per-interaction, first token latency, inference tracing, LLM cost control, LLM cost optimization, LLM integration testing, LLM token throughput, model orchestration performance, production AI reliability, synthetic conversation testing, token analytics, token-rate monitoring, TPOT, TTFTTraditional testing misses token and context failures. Discover how to measure, test and scale AI agents reliably in production ...
AlertD Emerges to Apply AI to Observing AWS Environments
AlertD this week emerged from stealth to launch a DevOps platform that leverages generative artificial intelligence (AI) to provide deeper insights into Amazon Web Services (AWS) environments by automatically generating dashboards that ...
Tessl Details Plan to Build Platform for Managing AI Agents Embedded in DevOps Workflows
Tessl today outlined a plan to extend a registry it created for specifications that govern the behavior of artificial intelligence (AI) agents being used to build software to create a platform for ...
SRE in the Age of AI: What Reliability Looks Like When Systems Learn
Muhammad Yawar Malik | | adaptive systems, AI observability, AI reliability, concept drift, data pipeline reliability, feedback loops, incident response, learning systems, ML operations, MLOps, model drift, model performance monitoring, reliability engineering, site reliability engineering in AI, SREAs AI and ML become core production components, SRE is evolving from managing deterministic systems to ensuring the reliability of dynamic, learning systems. New metrics, workflows, guardrails and cross-disciplinary practices are redefining ...
New Relic Enhances Azure Integration with AI-Powered Observability Tools
Jon Swartz | | agentic telemetry, AI agents, AI observability, azure, gartner, github, MCP, Microsoft Fabric, Microsoft Foundry, Microsoft Visual Studio, New Relic, SAPNew Relic Inc. unveiled a suite of intelligent observability integrations with Microsoft Azure on Tuesday to streamline incident response and boost developer productivity as enterprises rush to adopt artificial intelligence (AI) workflows ...
