Tag: devops automation
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 ...
GitOps in the Wild: Scaling Continuous Delivery in Hybrid Cloud Environments
Ankur Mahida | | continuous delivery, devops automation, drift detection, GitOps architecture, GitOps at scale, GitOps best practices, GitOps case study, GitOps challenges, GitOps governance, GitOps observability, GitOps security, hybrid cloud GitOps, hybrid cloud operations, infrastructure as code, Kubernetes delivery, multi-cloud DevOps, Open Policy Agent, policy as codeA deep dive into scaling GitOps for hybrid and multi-cloud environments, exploring architecture, governance, security, observability and real-world enterprise practices ...
Bindplane Adds Ability to Automate Deployment of OpenTelemetry Collectors
Mike Vizard | | AI in observability, AI-powered monitoring, application instrumentation, devops automation, IT monitoring, large-scale telemetry, LLM observability, observability convergence, observability platform, OpenTelemetry management, telemetry at scale, telemetry automation, telemetry management, telemetry orchestrationBindplane introduces an ability to streamline large-scale OpenTelemetry collector deployments, enabling teams to reuse telemetry pipelines, and improve observability ...
MIT Researchers Propose a New Way to Build Software That Actually Makes Sense
Tom Smith | | AI coding tools, AI-assisted development, clean code architecture, code maintainability, code visibility, concept catalogs, devops automation, DevOps reliability, Large Language Models, LLM software development, modular software design, software engineering innovation, software transparency, system synchronizationMIT researchers propose a new framework to make software clearer and safer by organizing code into “concepts” and “synchronizations” for better visibility ...
Tabnine Adds Agents Capable of Automating Workflows to AI Coding Platform
Mike Vizard | | agentic AI, AI agents, AI compliance, AI for DevOps, AI Governance, AI tools, autonomous coding, Code Generation, code intelligence, Context Engine, debugging, devops automation, Enterprise AI, flat-rate pricing, LLM integration, Refactoring, software development lifecycle, technical debt, workflow automationTabnine introduces Tabnine Agentic, a new generation of AI agents that automate multi-step DevOps workflows including refactoring, debugging, and documentation. Built on Tabnine’s Context Engine, these agents bring governance, cost control, and ...
Observe Adds Two AI Agents to Improve Observability
Mike Vizard | | AI debugging, AI in DevOps, AI observability, AI SRE Agent, AIOps, code instrumentation, developer productivity, devops automation, incident triage, MCP Server, Model Context Protocol, observability platform, OpenAI Codex, OpenTelemetry, SRE automation, Telemetry dataObserve Inc. introduces the AI SRE Agent and o11y.ai Agent to its observability platform—empowering DevOps teams to automate incident triage, generate OpenTelemetry code, and query application performance using natural language for faster, ...
Context Engineering: The Next Frontier in AI-Driven DevOps
Arun Sanna | | agentic AI, AI in DevOps, AIOps, autonomous operations, context engineering, context-aware AI, devops, devops automation, Prompt Engineering, SREImagine a world where your on-call alerts are not just a cryptic message, but a rich, contextualized story of what's happening, why it's happening, and how to fix it. This is the ...
7 Proven Benefits of DevOps Implementation in Modern Software Development
Albert Hilton | | CI/CD, containerization, continuous delivery, continuous integration, devops automation, DevOps benefits, devops best practices, DevOps collaboration, DevOps cost savings, devops culture, DevOps efficiency, devops implementation, DevOps Innovation, DevOps reliability, DevOps scalability, docker, enterprise devops, infrastructure as code, kubernetes, modern software developmentDiscover the top 7 proven benefits of DevOps implementation in modern software development, from faster delivery and automation to scalability, collaboration, and cost efficiency—helping teams innovate and stay ahead in today’s competitive ...
A Modern Approach to Multi-Signal Optimization
Nikhil Kurup | | application performance monitoring, ArgoCD, CI/CD observability, cloud cost optimization, cloud operations, cloud waste reduction, cloud-native operations, CloudNativeCon Atlanta, datadog, devops automation, grafana, incident response, KubeCon 2025, Kubernetes monitoring, metric classification, MTTR reduction, multi-signal optimization, observability, p99 latency, pod CPU metrics, predictive monitoring, proactive observability, Prometheus, root cause analysis, signal correlation, signal hierarchy, SRE best practices, telemetry correlationHow multi-signal optimization and metric classification help DevOps and turn telemetry chaos into actionable intelligence ...
Claude Introduces Agent Skills for Custom AI Workflows
Tom Smith | | Agent Skills, agentic development, AI agents, AI automation, AI for developers, AI for DevOps teams, AI workflows, Anthropic Agent Skills, Anthropic AI tools, Anthropic Claude, CI/CD pipelines, Claude AI update, Claude API, Claude Code, Claude Code Execution Tool, Claude marketplace, Claude planning, Claude SDK, Claude Skills, Claude web app, DevOps AI, devops automation, infrastructure automation, Intent-Driven Development, reusable AI skillsAnthropic introduces Agent Skills for Claude — a new system that packages instructions, scripts, and resources into reusable folders across Claude’s web app, API, and Claude Code. Skills make AI assistants composable, ...
Harness Adds Vibecoding Tool to Migrate Databases Within DevOps Workflows
Mike Vizard | | AI in DevOps, AI-powered database migration, backward compatibility, CI/CD, compliance automation, database as code, database devops, database modernization, devops automation, Harness, Harness AI platform, Model Context Protocol Server, natural language interface, Oracle to Postgres migration, platform engineering, schema migration, Software Delivery Knowledge Graph, SQL automation, Stephen Atwell, vibecodingHarness adds an AI-powered vibecoding tool to automate database migrations via natural language, integrating seamlessly with its CI/CD DevOps platform ...
Atlassian Makes AI Coding Agent Generally Available
Mike Vizard | | AI code review, AI coding agent, AI DevOps tools, AI for software development, AI in CI/CD, AI project planning, AI software orchestration, Anthropic MCP, Atlassian AI, Atlassian Compass, Atlassian Team 25, devops automation, DX engineering metrics, Jira integration, Model Context ProtocolAtlassian launches Rovo Dev, an AI coding agent for writing, reviewing, and planning code, bundled with Bitbucket, Compass, and DX in the new Software Collection ...
