# GitOps GitOps is a software infrastructure management practice in which declarative desired state is versioned and automated agents pull and reconcile that state. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Beyond the sync: Argo CD needs an Enterprise Control Plane DevFeed: [Beyond the sync: Argo CD needs an Enterprise Control Plane]() Original publisher: [Read original article]() Author: Eric Minick Sudarshan Purohit Published: 2026-09-16T20:28:57.610955Z Content type: opinion Language: en Sources: [Harness Blog]() Topics: [argo-cd](), [GitOps](), [Orchestration](), [DevOps](), [Platform Engineering](), [Deployment](), [Artificial Intelligence]() Tags: [argo-cd](), [deployment](), [gitops](), [governance](), [orchestration](), [platform-engineering](), [verification]() ### AI overview This article argues that Argo CD's manifest synchronization is only one part of enterprise software delivery. It describes how scaling GitOps can create operational toil and Argo sprawl, and proposes an enterprise control plane with workflow orchestration, governance, and deployment verification. ### Source excerpt Scaling GitOps? Argo CD is great for syncing manifests, but enterprise delivery requires workflow orchestration, governance, and AI verification. | Blog ## Implementing GitOps from Infrastructure to DB Operators to Unify Ops for Kubernetes Databases DevFeed: [Implementing GitOps from Infrastructure to DB Operators to Unify Ops for Kubernetes Databases]() Original publisher: [Read original article]() Author: Sucahyo Ardy Prasetiyo Published: 2026-09-16T08:57:10Z Content type: tutorial Language: en Sources: [SeveralNines]() Topics: [GitOps](), [Kubernetes](), [Terraform](), [argo-cd](), [ClusterControl](), [Databases](), [opentofu]() Tags: [argo-cd](), [clustercontrol](), [databases](), [gitops](), [hybrid-operations](), [infrastructure](), [kubernetes](), [opentofu](), [sovereign-dbaas](), [terraform]() ### AI overview This article describes a layered GitOps approach for Kubernetes database platforms: manage infrastructure with Terraform or OpenTofu, manage Kubernetes deployments with Argo CD, and standardize operations for operator-managed databases with ClusterControl. It explains how declarative configuration and drift reconciliation differ between Terraform and Argo CD, and compares infrastructure automation options including Atlantis and Flux tf-controller. ### Source excerpt Most platform teams already use GitOps for their Kubernetes apps. The config lives in Git, Argo CD applies it, and deployments are predictable. But look one layer down and things get messy. Infrastructure setup is often still done by hand, running Terraform locally or through scattered scripts. Database operations, especially for databases running through Kubernetes [...] The post Implementing GitOps from Infrastructure to DB Operators to Unify Ops for Kubernetes Databases appeared first on Severalnines. ## Using the Komodo MCP Server to Manage Docker Infrastructure with AI Assistants DevFeed: [Using the Komodo MCP Server to Manage Docker Infrastructure with AI Assistants]() Original publisher: [Read original article]() Author: Brandon Lee Published: 2026-09-15T12:38:26Z Content type: tutorial Language: en Sources: [Virtualization Howto]() Topics: [Homelab](), [Model Context Protocol (MCP)](), [Docker](), [Docker Compose](), [GitOps](), [Artificial Intelligence]() Tags: [ai](), [automation](), [containers](), [docker](), [gitops](), [home-lab](), [home-server](), [infrastructure](), [mcp]() ### AI overview This tutorial introduces the Komodo MCP Server, which connects AI assistants such as Claude and GitHub Copilot to Komodo for managing Docker environments. It describes natural-language control of containers, stacks, deployments, servers, builds, repositories, and related infrastructure through the Model Context Protocol. ### Source excerpt There are so many cool projects now that we have access to in the the realm of home lab, especially when it comes to automation and AI Ops for our... The post I Gave AI Control of My Docker Home Lab With Komodo MCP appeared first on Virtualization Howto. ## Using Komodo to Manage and Update Docker Compose Stacks Across Multiple Hosts DevFeed: [Using Komodo to Manage and Update Docker Compose Stacks Across Multiple Hosts]() Original publisher: [Read original article]() Author: Brandon Lee Published: 2026-09-12T12:32:29Z Content type: tutorial Language: en Sources: [Virtualization Howto]() Topics: [Docker](), [Docker Compose](), [Homelab](), [Open Source](), [GitOps]() Tags: [containers](), [docker](), [docker-compose](), [gitops](), [home-lab](), [home-server](), [open-source]() ### AI overview The article explains how Komodo, an open source platform, can centrally manage Docker servers, containers, Compose stacks, and deployments across multiple hosts, reducing the need to update each stack manually. ### Source excerpt There are SO many tools out there that allow you to keep your containers updated and I have used just about all of them, including Watchtower, Dockcheck, and others. Running... The post I Stopped Manually Updating My Docker Container Stacks. I Use This Instead appeared first on Virtualization Howto. ## Kubernetes disaster recovery: Guidance from three reproducible failure scenarios DevFeed: [Kubernetes disaster recovery: Guidance from three reproducible failure scenarios]() Original publisher: [Read original article]() Author: Saiyam Pathak, Saloni Narang | CNCF Ambassadors Published: 2026-09-10T11:37:00Z Content type: article Language: en Sources: [Cloud Native Computing Foundation]() Topics: [Kubernetes](), [data](), [GitOps](), [postgresql clusters]() Tags: [blog](), [data](), [disaster-recovery](), [git](), [kubernetes](), [postgresql]() ### AI overview Guidance for recovering stateful Kubernetes applications through three reproducible failure scenarios, focusing on backup validation, declared versus stored state, and multi-volume consistency. ### Source excerpt Scope This document describes three failure scenarios that separate having backups from being able to recover, and the guidance that follows from each. Every scenario is reproducible on a laptop from the lab repository above, and... ## From Bottleneck to Breakthrough: Centralizing GitOps at Enterprise Scale with VCF 9.1.1 DevFeed: [From Bottleneck to Breakthrough: Centralizing GitOps at Enterprise Scale with VCF 9.1.1]() Original publisher: [Read original article]() Author: vmwareblogs Published: 2026-09-03T14:03:46Z Content type: article Language: en Sources: [VMware Blogs]() Topics: [GitOps](), [Platform Engineering](), [CI/CD](), [Automation](), [Cloud](), [Provisioning](), [Tooling]() Tags: [argo-cd](), [automation](), [cloud-infrastructure](), [cloud-native](), [continuous-delivery](), [deployment](), [gitops](), [home-page](), [platform](), [platform-engineering](), [provisioning](), [self-service](), [vcf-9-1](), [vcf-automation](), [vmware](), [vmware-cloud-foundation]() ### AI overview This VMware article announces VCF 9.1.1, which introduces a native GitOps service for VCF Automation Org users in Tech Preview. By integrating Argo CD, the update aims to centralize declarative application delivery, continuous delivery pipelines, and lifecycle management at enterprise scale, reducing manual work and operational friction for platform engineering teams. ### Source excerpt In today's fast-paced digital economy, where AI-driven innovation demands unprecedented agility, IT leaders are tasked with more than just provisioning infrastructure; they are expected to deliver a frictionless, self-service platform that accelerates software delivery. For platform engineers, cloud architects, and IT executives, the goal is to bridge the gap between robust infrastructure and modern application ... Continued The post From Bottleneck to Breakthrough: Centralizing GitOps at Enterprise Scale with VCF 9.1.1 appeared first on VMware Blogs. ## Introducing OttoFlow: AI Workflows for Kubernetes DevFeed: [Introducing OttoFlow: AI Workflows for Kubernetes]() Original publisher: [Read original article]() Author: Shreyas Mocherla Published: 2026-08-26T18:34:15Z Content type: release Language: en Sources: [Nirmata]() Topics: [Artificial Intelligence](), [Kubernetes](), [Platform Engineering](), [GitOps]() Tags: [agent](), [ai](), [ai-agents](), [ai-governance](), [declarative](), [gitops](), [kubernetes](), [kyverno](), [llm](), [nothing](), [platform-engineering](), [product](), [workflows]() ### AI overview Nirmata introduces OttoFlow, an open-source system for building AI workflows on Kubernetes. It represents workflows as custom resources with typed DAG steps and limits AI to selected parts of the operations process, aiming to combine deterministic, reviewable automation with model-based reasoning. ### Source excerpt AI workflows for Kubernetes, without handing an agent your kubeconfig. OttoFlow makes a workflow a custom resource: typed DAG steps, AI only where it counts. ## Nixifest: Generate Kubernetes manifests from Nix DevFeed: [Nixifest: Generate Kubernetes manifests from Nix]() Original publisher: [Read original article]() Author: bitbloxhub Published: 2026-08-21T18:33:07Z Content type: article Language: en Sources: [Announcements - NixOS Discourse]() Topics: [Nix](), [Kubernetes](), [GitOps]() Tags: [announcements](), [gitops](), [kubernetes]() ### AI overview A Nixifest project announcement and discussion describes generating typed Kubernetes manifests with Nix. The supplied evidence highlights claimed CRD support improvements over Kubenix and independence from a single GitOps solution, while later posts discuss related Nix, Terraform, container, and evaluation-performance work. ### Source excerpt LLM DISCLOSURE: I used GPT-5.6-Luna in Pi for much of the code and documentation, and GPT-5.6-Sol via ChatGPT for much of the planning and help with some architecture decisions Nixifest Nixifest Typed Kubernetes manifests generated with Nix. Better CRD support than Kubenix. Not tied to a single GitOps solution like Nixidy. 15 posts - 6 participants Read full topic ## Introducing the Remediator Agent: Turning Kyverno Policy Violations into Pull Requests, Automatically. DevFeed: [Introducing the Remediator Agent: Turning Kyverno Policy Violations into Pull Requests, Automatically.]() Original publisher: [Read original article]() Author: Akhil Chandran Published: 2026-08-14T11:29:37Z Content type: article Language: en Sources: [Nirmata]() Topics: [Kyverno](), [GitOps](), [Kubernetes](), [pull-requests](), [argocd](), [flux]() Tags: [agent](), [ai](), [argocd](), [flux](), [gitops](), [kubernetes](), [kyverno](), [other](), [pull-requests]() ### AI overview Nirmata's Remediator Agent is designed to automate remediation of Kyverno policy violations within an existing GitOps workflow. It traces violations to their Git sources, proposes deterministic or LLM-generated fixes, commits changes, opens pull requests for review, and relies on ArgoCD or Flux CD to sync approved changes back to Kubernetes. ### Source excerpt Kyverno detects Kubernetes policy violations. Nirmata's Remediator Agent turns them into reviewed pull requests within your existing GitOps workflow. ## Best Kubernetes Infrastructure as Code Tools in 2026 DevFeed: [Best Kubernetes Infrastructure as Code Tools in 2026]() Original publisher: [Read original article]() Author: Pulumi Content Team Published: 2026-08-14T00:00:00Z Content type: comparison Language: en Sources: [Pulumi]() Topics: [Infrastructure as code](), [Kubernetes](), [Terraform](), [argo-cd](), [Helm charts](), [GitOps](), [flux](), [opentofu](), [Amazon EKS](), [AWS CloudFormation](), [VPC](), [AWS IAM]() Tags: [argo-cd](), [cloudformation](), [code](), [comparisons](), [devops](), [flux](), [general](), [gitops](), [helm](), [helm-charts](), [iam](), [infrastructure](), [infrastructure-as-code](), [kubernetes](), [opentofu](), [platform-engineering](), [terraform](), [vpc]() ### AI overview This comparison explains that Kubernetes infrastructure as code spans cluster and cloud provisioning, in-cluster workload definition, and continuous delivery and reconciliation. It presents Pulumi and Terraform or OpenTofu as general-purpose provisioning options, Helm and Kustomize for workload templating, and Argo CD and Flux for GitOps reconciliation. ### Source excerpt There is no single best Kubernetes infrastructure as code tool, because "Kubernetes IaC" actually spans three different jobs. For provisioning the cluster and its cloud dependencies, Pulumi and Terraform (or OpenTofu) are the strongest general-purpose options. For templating and packaging workloads, Helm and Kustomize dominate. For continuous reconciliation once things are running, Argo CD and Flux lead the GitOps category. The right stack usually combines one tool from each layer, not a single tool that claims to do all three. What counts as infrastructure as code for Kubernetes? Kubernetes infrastructure as code work splits into three layers that get conflated constantly, and the confusion is where most tool comparisons go wrong. The cluster and cloud layer provisions the things Kubernetes itself sits on top of: the managed control plane (EKS, GKE, AKS), node pools, the VPC and subnets, IAM roles, load balancers, and cluster add-ons. Terraform, Pulumi, and cloud-native tools like CloudFormation operate here. The in-cluster workload layer defines what runs on the cluster once it exists: Deployments, Services, ConfigMaps, CustomResourceDefinitions, and the Helm charts or Kustomize overlays that template them. This is where Helm, Kustomize, and Crossplane's custom resources live. The delivery and reconciliation layer keeps what's declared in Git in sync with what's actually running on the cluster, continuously, rather than as a one-shot apply. Argo CD and Flux own this layer, and they consume the output of the other two rather than replacing them. Most real Kubernetes platforms use tools from at least two of these layers together. A team might provision EKS with Terraform, package its application with Helm, and let Argo CD reconcile it continuously. Knowing which layer a tool actually addresses, rather than treating "Kubernetes IaC" as one shopping list, is the first decision that matters. Pulumi provisions the cluster and the workloads on it in the same language Pul ## Q2 2026 Product Update: Harness Continuous Delivery & GitOps DevFeed: [Q2 2026 Product Update: Harness Continuous Delivery & GitOps]() Original publisher: [Read original article]() Author: Vishal Vishwaroop Published: 2026-08-06T00:00:00Z Content type: release Language: en Sources: [Harness Blog]() Topics: [CI/CD](), [GitOps](), [Deployment](), [Kubernetes](), [AI Agent](), [Cloud Run]() Tags: [2026](), [agent](), [cloud-run](), [continuous-delivery](), [deployment](), [gitops](), [kubernetes](), [product]() ### AI overview Harness reviews its Q2 2026 product updates, covering 38 enhancements across Continuous Delivery, Verification, and GitOps. The update includes progressive Kubernetes canary rollouts, native AI agent deployments, staged Cloud Run traffic, enhanced verification controls, and GitOps rollback and RBAC improvements. ### Source excerpt Progressive canary rollouts, native AI agent deployments, staged Cloud Run traffic, smarter verification controls, and 12 GitOps improvements -- Q2 2026 in revie | Blog ## Mastering PostgreSQL Configuration Management with CloudNativePG (CNPG) DevFeed: [Mastering PostgreSQL Configuration Management with CloudNativePG (CNPG)]() Original publisher: [Read original article]() Author: Wellingtone Luvonga Published: 2026-08-04T05:00:38Z Content type: tutorial Language: en Sources: [CYBERTEC PostgreSQL | Services & Support]() Topics: [configuration](), [PostgreSQL](), [postgresql clusters](), [Kubernetes](), [GitOps](), [YAML](), [kubectl]() Tags: [administration](), [cloudnativepg](), [configuration](), [configuration-management](), [gitops](), [how-to](), [kubectl](), [kubernetes](), [postgresql](), [replication](), [yaml]() ### AI overview This tutorial explains how CloudNativePG manages PostgreSQL configuration in Kubernetes. It contrasts imperative editing of configuration files with declarative management through Kubernetes YAML and shows how to define database parameters and pg_hba.conf rules in a CNPG cluster resource. ### Source excerpt This blog talks about Configuration Management in PostgreSQL with CNPG, with some great examples in a comprehensive way. The post Mastering PostgreSQL Configuration Management with CloudNativePG (CNPG) appeared first on CYBERTEC PostgreSQL | Services & Support. ## AI for Kubernetes: Complete Guide DevFeed: [AI for Kubernetes: Complete Guide]() Original publisher: [Read original article]() Author: Nimesha Jinarajadasa Published: 2026-07-31T03:12:00Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [Artificial Intelligence](), [Kubernetes](), [Tooling](), [Model Context Protocol](), [GitOps]() Tags: [agents](), [ai](), [clusters](), [diagnostics](), [gitops](), [guide](), [kubernetes](), [mcp]() ### AI overview A guide to AI for Kubernetes that distinguishes read-only diagnostic tools, write-capable agents, and command copilots. It explains the role of MCP, outlines the limits and risks of each category, and recommends starting with diagnosis before supervised agents and GitOps-managed workflows. ### Source excerpt The complete map of AI for Kubernetes: diagnostics, agents, and copilots, what each does today, the honest limits, and where to start. ## Agentic Engineering: Evolution of Developer Portals DevFeed: [Agentic Engineering: Evolution of Developer Portals]() Original publisher: [Read original article]() Author: Zohar Einy Published: 2026-07-30T11:25:32Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [Artificial Intelligence](), [AI Development](), [Software Engineering](), [Developer experience](), [DevOps](), [Cloud Native Ecosystem](), [Microservice](), [Kubernetes](), [GitOps](), [CI/CD](), [incident](), [Vulnerabilities]() Tags: [agentic](), [ai](), [ai-agents](), [ci-cd](), [cloud-native](), [developer](), [developer-experience](), [devops](), [engineering](), [kubernetes](), [microservices](), [tech-debt]() ### AI overview The article presents agentic engineering as the next evolution of software engineering, with AI agents autonomously handling code, tests, pull requests, incidents, vulnerabilities, technical debt, and other software development lifecycle activities. It argues that developer portals can help provide the guidance and guardrails needed to manage the complexity created by DevOps, cloud-native systems, microservices, Kubernetes, GitOps, and extensive CI/CD automation. ### Source excerpt Internal developer portals are changing. Read all about Port's next evolution, the agentic engineering platform. ## Using Pulumi With an Internal Developer Portal | Port DevFeed: [Using Pulumi With an Internal Developer Portal | Port]() Original publisher: [Read original article]() Author: Mor Paz Published: 2026-07-30T10:17:19Z Content type: tutorial Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [internal developer portal](), [Infrastructure as code](), [Provisioning](), [GitOps](), [DevOps](), [Architecture & Design]() Tags: [building](), [catalog](), [developer](), [developer-portal](), [developers](), [devops](), [how-to](), [iac](), [infrastructure](), [infrastructure-as-code](), [internal-developer-portal](), [learn](), [platform](), [provisioning](), [resources](), [software](), [software-catalog]() ### AI overview This tutorial explains how internal developer portals can make infrastructure as code easier and safer for developers. It describes using a software catalog and reusable self-service actions to abstract IaC details and provision developer environments, with Pulumi and Port as the example. ### Source excerpt Internal developer portals can close the IaC and developer loop. Let's look at a live example of how to use Pulumi and internal developer portals. ## Using ArgoCD to Manage AI Model Deployments with GitOps DevFeed: [Using ArgoCD to Manage AI Model Deployments with GitOps]() Original publisher: [Read original article]() Author: Pramodh Kumar M Published: 2026-07-28T18:24:57Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [GitOps](), [argocd](), [model-deployment](), [Artificial Intelligence](), [model-serving](), [Architecture & Design]() Tags: [ai](), [ai-models](), [argo-rollouts-model-promotion](), [argocd](), [argocd-ai-model-deployment](), [argocd-applicationset](), [argocd-sync-waves](), [automation](), [ci-cd](), [declarative-model-serving](), [deployment](), [devops](), [gitops](), [gitops-for-ai-model-deployments](), [gitops-mlops](), [kserve](), [kserve-canary-deployment](), [kubernetes](), [kubernetes-model-deployment-rollback](), [ml-model-deployment](), [ml-model-versioning](), [mlops](), [model-deployment](), [model-registry-to-git-automation](), [model-serving](), [pull-requests](), [standard](), [tutorial]() ### AI overview This tutorial explains how to use ArgoCD and GitOps to deploy AI models while accounting for model weights stored outside container images. It covers pinned model references, rollback and recovery, synchronization ordering, readiness probes, evaluation-based promotion gates, and KServe status handling. ### Source excerpt Your microservices deploy through pull requests with full audit trails. Your models deploy because someone ran a script. Here is how to close that gap with ArgoCD, and what changes when the artifact weighs four gigabytes. ## Harness Database DevOps: Reference Data Rollbacks DevFeed: [Harness Database DevOps: Reference Data Rollbacks]() Original publisher: [Read original article]() Author: Animesh Pathak Stephen Atwell Published: 2026-07-28T00:00:00Z Content type: tutorial Language: en Sources: [Harness Blog]() Topics: [data](), [Databases](), [Git](), [CI/CD](), [Deployment](), [CSV](), [GitOps](), [pull-requests]() Tags: [ci-cd](), [data](), [database](), [deployment](), [devops](), [files](), [gitops](), [how-to](), [pull-requests]() ### AI overview This tutorial explains how to manage database reference data with Liquibase OSS and Harness Database DevOps. It recommends storing versioned CSV files in Git, applying them with loadUpdateData, and deploying previous versions to support safer rollbacks across environments. ### Source excerpt Learn to version reference data with Liquibase OSS, automate deployments in Harness Database DevOps, and enable safe rollbacks. | Blog ## GitOps tooling 101 DevFeed: [GitOps tooling 101]() Original publisher: [Read original article]() Author: Artem Lajko Published: 2026-07-23T05:40:01Z Content type: tutorial Language: en Sources: [Platform Engineering Blog]() Topics: [GitOps](), [Tooling](), [Platform Engineering](), [Git](), [Kubernetes](), [CI/CD]() Tags: [git](), [guide](), [how-to](), [infrastructure](), [kubernetes](), [learn](), [platform-engineering](), [tooling](), [tools]() ### AI overview A guide to selecting GitOps tools, comparing Argo CD, Flux CD, and Sveltos. It explains GitOps principles and how tool capabilities align with operational topology, team capabilities, and platform engineering goals. ### Source excerpt Choosing the right GitOps tool is complex. This guide cuts through the noise, comparing Argo CD, Flux CD, and Sveltos. Learn the four GitOps principles, how to match tool strengths to your operational topology, and the crucial 80% of discipline needed for successful adoption ## Call for Proposals (CfP) open: Speak at PlatformCon 2026! DevFeed: [Call for Proposals (CfP) open: Speak at PlatformCon 2026!]() Original publisher: [Read original article]() Author: Luca Galante Published: 2026-07-23T05:40:01Z Content type: news Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [GitOps](), [Infrastructure as code](), [Kubernetes](), [Tooling](), [Security]() Tags: [2026](), [conference](), [event](), [iac](), [kubernetes](), [platform-engineering](), [security]() ### AI overview PlatformCon 2026 has opened its Call for Proposals for virtual pre-recorded talks and live workshops focused on platform engineering. The event seeks practical experiences, architectural insights, platform tooling, and real-world technology combinations. ### Source excerpt The PlatformCon 2026 Call for Proposals (CfP) is open! Submit your talk or workshop proposal to share your platform engineering insights. ## 10 FinOps tools platform engineers should evaluate for 2026 DevFeed: [10 FinOps tools platform engineers should evaluate for 2026]() Original publisher: [Read original article]() Author: Ajay Chankramath Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [cloud cost management](), [finops](), [Platform Engineering](), [Kubernetes](), [GitOps](), [Infrastructure as code](), [Cloud](), [Provisioning]() Tags: [2026](), [cloud](), [cost](), [developer-experience](), [finops](), [iac](), [infrastructure](), [kubernetes](), [management](), [multi-cloud](), [optimization](), [platform](), [platform-engineering]() ### AI overview A guide to evaluating 10 FinOps platforms for platform engineering teams in 2026. It emphasizes Kubernetes-native cost attribution, API-first architecture, GitOps and IaC integration, developer experience, and the 4Rs framework: Report, Recommend, Remediate, and Retain. ### Source excerpt Evaluate 10 FinOps tools platform engineers need in 2026 for Kubernetes-native, multi-cloud cost optimization. Focus on API-first architecture, GitOps, and the 4Rs framework. ## How to scale GitOps in the enterprise: From single cluster to fleet management DevFeed: [How to scale GitOps in the enterprise: From single cluster to fleet management]() Original publisher: [Read original article]() Author: Artem Lajko Published: 2026-07-23T05:40:01Z Content type: tutorial Language: en Sources: [Platform Engineering Blog]() Topics: [GitOps](), [Tooling](), [Git](), [YAML](), [flux]() Tags: [complexity](), [config](), [deployment](), [developers](), [git](), [guide](), [helm](), [how-to](), [kubectl](), [learn](), [operational](), [platform](), [reconciliation](), [scale](), [secrets](), [secrets-management](), [workflow](), [workflows]() ### AI overview This guide explains how to scale GitOps from a single cluster to enterprise fleet management across 50 or more clusters. It focuses on architectural patterns, state store strategies, multi-cluster topology, secrets and policy management, configuration sprawl, repository performance, reconciliation delays, and the organizational discipline required for reliable operations. ### Source excerpt Learn how to scale GitOps from 1 to 50+ clusters using advanced state store patterns (OCI, ConfigHub), multi-cluster topology, and enterprise secrets/policy management ## Announcing new course: GitOps for Platform Engineering DevFeed: [Announcing new course: GitOps for Platform Engineering]() Original publisher: [Read original article]() Author: Sam Barlien Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [GitOps](), [Platform Engineering](), [Infrastructure as code](), [Kubernetes](), [CI/CD](), [Orchestration]() Tags: [argo-cd](), [flux](), [infrastructure-as-code](), [kubernetes](), [orchestration](), [platform-engineering](), [training](), [tutorials]() ### AI overview This article announces a course on GitOps for Platform Engineering that addresses enterprise-scale challenges such as managing multi-cluster environments, applying policy-driven workflows, scaling to large fleets, and driving organizational adoption. It covers GitOps fundamentals, Argo CD, Flux, Infrastructure as Code, agent-based reconciliation, configuration sprawl, and platform requirements for AI workloads. ### Source excerpt Bridge the gap between GitOps 101 and enterprise reality. Learn multi-cluster, policy-driven GitOps for Platform Engineering from expert Artem Lajko ## Why installing Argo CD didn't fix your deployments DevFeed: [Why installing Argo CD didn't fix your deployments]() Original publisher: [Read original article]() Author: Koray Oksay Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [GitOps](), [Deployment](), [Git](), [Kubernetes]() Tags: [argo-cd](), [deployment](), [flux](), [git](), [kubernetes](), [organizational](), [production]() ### AI overview The article argues that installing Argo CD or Flux does not by itself make deployments safer, auditable, or self-service. GitOps exposes unresolved organizational questions about production ownership, approval authority, accountability, repository access, and operational responsibility. Successful GitOps adoption therefore depends on organizational design and clearly defined trust boundaries, not only on tooling. ### Source excerpt GitOps tools like Argo CD won't solve underlying organizational issues. This article argues that GitOps is an organizational decision that exposes pre-existing ambiguity around ownership, production responsibility, and trust boundaries. Learn why clear organizational design is the true foundation for GitOps success. ## Transforming optimization into an invisible platform capability DevFeed: [Transforming optimization into an invisible platform capability]() Original publisher: [Read original article]() Author: Graziano Casto Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Optimization](), [Platform Engineering](), [finops](), [SRE](), [Automation](), [GitOps](), [Cloud](), [dashboards](), [Deployment](), [Kubernetes]() Tags: [automation](), [cloud](), [cloud-native](), [cost](), [dashboards](), [deployment](), [developer](), [developer-experience](), [finops](), [kubernetes](), [optimization](), [performance](), [platform](), [platform-engineering](), [sre]() ### AI overview The article argues that cloud-native organizations should transform optimization from a manual, reactive activity into an invisible platform capability. It focuses on reducing friction among FinOps professionals, SREs, and developers by continuously balancing cost, performance, and reliability through automation and GitOps. It also highlights the day-two operational gap and the limitations of passive monitoring dashboards and static golden paths. ### Source excerpt Break the FinOps/SRE/Developer friction by transforming optimization into an automated, invisible platform capability. Achieve continuous cost and performance balance through GitOps [Next page]()