Tag: infrastructure as code
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 ...
Beyond the Build: Integrating Security into CI/CD Pipelines
In today's fast-paced software development landscape, Continuous Integration and Continuous Deployment (CI/CD) pipelines are essential for delivering applications efficiently. However, the speed and automation they offer can inadvertently introduce security vulnerabilities if ...
How to Manage Operations in DevOps Using Modern Technology
Samuel Ogbonna | | AIOps, infrastructure as code, observability, platform engineering, site reliability engineeringHow modern DevOps teams manage operations using automation, observability, AIOps and self-service to reduce toil and improve reliability ...
Can Claude Agents Replace DevOps Teams? A Practical Reality Check
Sannan Ali | | adaptive systems, Agentic Workflows, AIOps, automated deployments, Autonomous DevOps, Claude agents, devops evolution, human-in-the-loop, incident response automation, infrastructure as codeAre AI agents replacing DevOps engineers? Explore how tools like Claude are shifting DevOps from rigid automation to autonomous, adaptive systems, and why human judgment remains the critical link in managing system ...
If it Isn’t Code, it’s Just Advice
David Mytton | | AI coding agents, API contracts, audit trails, automated verification, automation vs. advice, CI/CD, code-native, configuration as management, dashboard problem, infrastructure as code, MCP Server, production safety, reproducibility, software development life cycle, software security, spam prevention, UI-driven configuration, unit testing, vendor integrations, version controlIn the world of AI coding, success hinges on code-native solutions that integrate and verify changes directly in the codebase. Many AI tools fail by relying on external dashboards, lacking the reproducibility ...
Policy as Code for Cost Control, Not Just Compliance
Mariusz Michalowski | | cloud cost management, FinOps, infrastructure as code, kubernetes, platform engineering, policy as codePolicy as code can do more than enforce compliance. Learn how platform teams use guardrails, tagging and sizing policies to prevent cloud cost waste early ...
Microsoft Azure Skills Plugin Gives AI Coding Agents a Playbook for Cloud Deployment
Tom Smith | | agent orchestration, AI coding agents, AI in software delivery, Azure automation, Azure cost optimization, Azure Skills Plugin, Claude Code, cloud deployment, devops, Foundry MCP, GitHub Copilot, guardrails, infrastructure as code, institutional knowledge, MCP Server, Microsoft Azure, platform engineering, VS Code agent pluginsMicrosoft’s new Azure Skills Plugin closes the gap between AI-written code and production deployments by packaging expert Azure knowledge as executable skills, backed by MCP servers for real infrastructure actions and AI ...
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 ...
When DevOps Meets the Cloud: A Real-World Transformation Story
Yashwanth | | CI/CD Automation, cloud migration, DevOps transformation, infrastructure as code, observabilityA real-world DevOps and cloud transformation story showing how automation, observability, and cultural change improved reliability and delivery ...
IBM HashiCorp Ends External Language Support for Terraform
Tom Smith | | AWS CDK, devops, external language support, HCL, IaC tools, infrastructure as code, opentofu, Pulumi, Python Terraform, Ruby Terraform, Terraform migrationIBM and HashiCorp end external language support for Terraform, pushing teams toward HCL. What this means for DevOps infrastructure management strategies ...
The Self-Inflicted Outage: When “Too Big to Fail” Meets the Reality of Hyperscale Complexity
Michael Smith | | automation risk, cascading failures, certificate lifecycle management, cloud outage causes, cloud reliability, cloud resilience, devops automation, distributed systems reliability, failure design, hyperscaler failures, infrastructure as code, infrastructure complexity, multi-cloud resilience, operational risk, PKI automation, scaling limits, self-inflicted outages, SRE best practicesModern cloud outages are increasingly caused by automation, configuration errors, and hidden design limits. Learn how to build resilience ...
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 ...
