Tag: gitops
Risk-Based Review for Infrastructure as Code Pull Requests
Naga Krishna Reddy Muppidi | | automated review systems, blast radius analysis, change approval workflow, change management, CI/CD governance, cloud infrastructure, Cloud Security, deployment risk, deployment safety, devops, devsecops, Engineering Governance, engineering productivity, gitops, IaC review, infrastructure as code, infrastructure auditing, infrastructure automation, infrastructure change tracking, infrastructure compliance, infrastructure controls, infrastructure delivery, Infrastructure Governance, infrastructure observability, infrastructure reliability, infrastructure risk scoring, infrastructure security, operational risk management, platform engineering, platform operations, platform team workflows, policy as code, production changes, production deployments, pull request review, reviewer fatigue, reviewer workflows, risk assessment, risk-based review, security review automationNot every infrastructure pull request deserves the same review path. A tag change in a development account and a network-policy change in production should not create identical reviewer load. When every change ...
We Spent 15 Years Automating Infrastructure. Now We’re Automating Decisions
Alan Shimel | | AI copilots, AI in operations, AIOps, Autonomous operational systems, cloud-native architecture, Deterministic vs probabilistic automation, devops evolution, gitops, IaC, Incident response AI, infrastructure as code, infrastructure automation, Operational judgment, Operational sovereignty, Platform engineering governance, Risk mitigation in AI, telemetry correlationAs DevOps shifts from deterministic infrastructure automation to AI-driven probabilistic judgment, organizations face a profound transition from automating tasks to automating operational reasoning. Discover why this requires a fundamental evolution in platform ...
Akuity Adds Ability to Customize Kargo Pipelines
Akuity this week at the KubeCon + CloudNativeCon Europe conference revealed it has added an ability to customize the steps used to promote applications into a production environment using a Kargo orchestration ...
GitOps Implementation at Enterprise Scale — Moving Beyond Traditional CI/CD
Sumanth Kadulla | | ArgoCD, change traceability, CI/CD migration, CI/CD reliability, cloud native delivery, configuration drift, declarative infrastructure, deployment automation, deployment rollback strategy, DevOps at scale, devsecops, dora metrics, gitops, GitOps adoption, GitOps security, infrastructure as code, Kubernetes continuous delivery, platform engineering, policy as code, pull-based deploymentsTraditional CI/CD pipelines hit scaling limits. Learn how GitOps improves deployment reliability, security, and DORA metrics—and what it takes to migrate successfully ...
Top 15 DevOps Trends to Watch in 2026
Launched in 2008, the audio streaming platform Spotify has more than 200 million active users worldwide. Initially, Spotify relied on a homegrown container orchestration system called Helios. In 2017, this became a ...
Why Traditional SLOs Are Failing at Hyperscale: Building Context-Aware Reliability Contracts
Muhammad Yawar Malik | | adaptive reliability, AI-driven scaling, business-aligned reliability, context classification, context propagation, context-aware reliability, context-driven SLOs, cost reduction, devops, dynamic SLOs, gitops, hyperscale reliability, infrastructure optimization, multi-service reliability, observability, performance optimization, post-mortem analysis, predictive scaling, reliability budgets, reliability contracts, reliability engineering, reliability marketplace, site reliability engineering, SLA management, SLO optimization, SREDiscover how context-aware reliability contracts (CARC) redefine SLOs for hyperscale systems—optimizing uptime, reducing infrastructure spend by 33%, and aligning reliability with business value across user tiers, regions, and workloads ...
Whose Ops is it Anyway? How IDPs, AI and Security are Evolving Developer Culture
Olivier de Turckheim | | AI and ML workloads, AI in DevOps, AI infrastructure, AI-driven operations, AIOps, automation in DevOps, continuous delivery, Cycloid plug-ins, developer experience, devops culture, devops evolution, DevOps scalability, DevOps security integration, DevOps transformation, devsecops, digital transformation DevOps, gitops, IDP, intelligent automation, internal developer platforms, MLOps, modern DevOps strategy, operational resilience, platform engineering, platform governance, secure CI/CDIt was only a few years ago that perhaps the biggest hurdle for DevOps advocates was convincing leadership that it was worth the investment. That conversation has since shifted. In most organisations ...
From Legacy to GitOps: A Roadmap for Enterprise Modernization
Ekambar Kumar Singirikonda | | devops, enterprise GitOps roadmap, gitops, GitOps automation, GitOps cultural shift, GitOps governance, GitOps security, IaC GitOps, infrastructure as code, policy as code GitOpsLearn how enterprises can modernize legacy infrastructure with GitOps. A roadmap for automation, governance, and resilience at scale ...
Survey: Pace of Increased Adoption of GitOps Varies Widely
A survey of 660 software development professionals finds 93% have embraced GitOps as a methodology for building and deploying software, with 68% planning to increase usage. Conducted by Octopus Deploy, a provider ...
Best of 2024: Configuration-as-Code: Trends and Predictions for 2024
Gilad David Maayan | | automation, configuration, Configuration as Code, edge computing, gitops, version controlCaC allows for a version-controlled, reproducible and automated method of managing environments, leading to more consistent and reliable systems ...
Why GitOps Might Be the Future of DevOps: Trends and Predictions for 2025 and Beyond
This article delves into why GitOps might be the future of DevOps, backed by trends, predictions and industry insights for 2025 and beyond ...
Why and How to Go All-In on GitOps
When you can manage every cloud native deployment using a GitOps approach, as a consequence, declarative and automated processes become baked into your culture and transform your business. ...
