# DevOps DevOps is a combination of cultural philosophies, practices, and tools for delivering applications and services through collaboration between development and operations teams. 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 ## Agents operate, humans govern: Scale your operations and reduce toil with Azure SRE Agent DevFeed: [Agents operate, humans govern: Scale your operations and reduce toil with Azure SRE Agent]() Original publisher: [Read original article]() Author: TNS Staff Published: 2026-09-15T16:21:45Z Content type: article Language: en Sources: [The New Stack]() Topics: [SRE](), [incident](), [Azure](), [observability](), [DevOps](), [Redis]() Tags: [agent](), [ai-agents](), [ai-operations](), [azure](), [code-review](), [deployment](), [devops](), [incident](), [microsoft-azure](), [monitoring](), [observability](), [post](), [redis](), [sponsor-microsoft-azure](), [sponsored](), [sponsored-post](), [sre](), [telemetry]() ### AI overview The article describes Azure SRE Agent as a system that analyzes telemetry, correlates deployment and monitoring data, investigates incidents, identifies root causes, recommends or prepares fixes, and supports mitigation and other operational tasks under human approval. It cites examples involving Microsoft service teams and InEight, including a recommendation to scale Redis. ### Source excerpt What if engineers could spend their time building and optimizing systems rather than maintaining them? It's 3 a.m., and the The post Agents operate, humans govern: Scale your operations and reduce toil with Azure SRE Agent appeared first on The New Stack. ## Why a DevOps Portal Cannot Replace an Operating Model DevFeed: [Why a DevOps Portal Cannot Replace an Operating Model]() Original publisher: [Read original article]() Author: Sridhar Rajarao Published: 2026-09-11T00:00:00Z Content type: opinion Language: en Sources: [Sridhar Rajarao]() Topics: [DevOps](), [incident](), [Deployment]() Tags: [deploy](), [deployment](), [devops](), [incident](), [operations](), [platform-engineering](), [production](), [sre](), [startups]() ### AI overview A DevOps portal can reduce operational friction, but it cannot create service ownership, incident discipline, or an operating model. The article recommends defining ownership, health signals, runbooks, escalation paths, and rollback practices before building a small, practical portal. ### Source excerpt A portal can remove friction. It cannot create service ownership, incident discipline, or a working operating model that does not yet exist. ## VCF Breakroom Chats Episode 94: Supercharging VKS Networking with Tigera DevFeed: [VCF Breakroom Chats Episode 94: Supercharging VKS Networking with Tigera]() Original publisher: [Read original article]() Author: anika suri Published: 2026-09-08T20:45:36Z Content type: article Language: en Sources: [VMware Blogs]() Topics: [Kubernetes](), [networking](), [Security](), [DevOps]() Tags: [blog-post](), [breakroom-chats](), [devops](), [ecosystem](), [kubernetes](), [networking](), [partners](), [security](), [vmware]() ### AI overview This episode of VCF Breakroom Chats discusses Kubernetes networking and security in production with Abhishek Rao from Tigera, the company behind Project Calico. It also highlights partnership resources and is aimed at IT practitioners, platform professionals, developers, DevOps professionals, and AI/ML professionals. ### Source excerpt In this episode of VCF Breakroom Chats, Anika Suri sits down with Abhishek Rao from Tigera, the company behind Project Calico, to discuss a critical aspect of running Kubernetes in production: networking and security. Want to learn more about this partnership? Check out the Kubernetes Ecosystem Partners page for more resources. Read this blog post. About ... Continued The post VCF Breakroom Chats Episode 94: Supercharging VKS Networking with Tigera appeared first on VMware Blogs. ## Building Trust in AI DevOps: Validating the Harness Knowledge Graph DevFeed: [Building Trust in AI DevOps: Validating the Harness Knowledge Graph]() Original publisher: [Read original article]() Author: Vikram Sahu Published: 2026-08-31T18:37:00Z Content type: article Language: en Sources: [Harness Blog]() Topics: [DevOps](), [Testing](), [Graphs](), [Artificial Intelligence](), [Software]() Tags: [ai](), [ai-evals](), [api](), [automated](), [data](), [devops](), [evals](), [graph](), [knowledge-graph](), [lifecycle](), [operational](), [other](), [pipeline](), [schema](), [sdlc](), [security](), [services](), [software](), [software-delivery](), [validation]() ### AI overview This article explains how Harness validates answers from its SDLC Knowledge Graph. Its multi-layered approach combines AI evaluations, schema traversal, API checks, direct product verification, production data, and shift-left testing to improve reliability. ### Source excerpt Discover our multi-layered validation approach combining AI evals to ensure reliable AI-powered software delivery insights. | Blog ## Start here: Azure SQL Foundations series DevFeed: [Start here: Azure SQL Foundations series]() Original publisher: [Read original article]() Author: Anna Hoffman Published: 2026-08-25T16:00:18Z Content type: article Language: en Sources: [Developer Blogs]() Topics: [Azure SQL](), [Microsoft](), [migration](), [Artificial Intelligence](), [Azure OpenAI](), [DevOps](), [GitHub](), [Retrieval Augmented Generation (RAG)](), [API](), [MCP Server]() Tags: [ai](), [azure](), [azure-openai](), [azure-sql](), [devops](), [github](), [guide](), [how-to](), [json](), [langchain](), [mcp](), [microsoft-for-developers](), [migration](), [powershell](), [rag](), [terraform]() ### AI overview Microsoft introduces the Azure SQL Database Foundations series, a set of four videos covering Hyperscale databases, modernization and migration, AI features, and operational data. Each episode includes a repository for hands-on follow-up. ### Source excerpt Most developers I talk to aren't asking whether Azure SQL Database can handle their next app. They're asking where to start when it comes to modernization, migration, and AI in the database. If you're reading this, you're probably in a similar boat: you've got an existing schema or databases, a scaling question you haven't had [...] The post Start here: Azure SQL Foundations series appeared first on Microsoft for Developers. ## AI Software Factory: What It Is, Why You Need One, Who Owns It DevFeed: [AI Software Factory: What It Is, Why You Need One, Who Owns It]() Original publisher: [Read original article]() Author: Zohar Einy Published: 2026-08-25T12:53:22Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [Artificial Intelligence](), [sdlc](), [Platform Engineering](), [DevOps]() Tags: [ai](), [devops](), [incident](), [platform-engineering](), [pull-requests](), [sdlc](), [testing]() ### AI overview The article argues that AI coding assistants alone do not improve end-to-end delivery because review, testing, and incident work can remain bottlenecks. It proposes an AI software factory that orchestrates agents, shared context, governance, and measurement across the SDLC. ### Source excerpt Discover what an AI software factory is, why it beats coding assistants, and who owns it in your engineering organization today. ## Networking Concepts Every DevOps Engineer Needs to Know DevFeed: [Networking Concepts Every DevOps Engineer Needs to Know]() Original publisher: [Read original article]() Author: Pramodh Kumar M Published: 2026-08-14T17:14:08Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [networking](), [DevOps](), [browser](), [Kubernetes]() Tags: [browser](), [cidr-and-subnets](), [cloud](), [conntrack](), [devops](), [dns](), [ephemeral-ports](), [kubernetes](), [kubernetes-networking](), [linux](), [mtu-mismatch](), [nat-and-snat](), [network](), [network-troubleshooting-commands](), [networking](), [networking-concepts-for-devops](), [osi-model-for-devops](), [platform-engineering](), [proxy](), [routing](), [tcp](), [tcp-handshake](), [timeout](), [tls-handshake](), [vpn]() ### AI overview A tutorial follows a request from a browser to a container to explain networking concepts relevant to DevOps engineers. It maps symptoms such as connection refusal, timeouts, resets, and packet-size-related hangs to network layers and discusses diagnosis across VPN gateways, Kubernetes, and other infrastructure. ### Source excerpt Follow one request from a browser to a container and back. Every networking concept you actually need shows up on that path, in order, and so does every place it breaks. ## Charity Majors on how AI is changing software engineering DevFeed: [Charity Majors on how AI is changing software engineering]() Original publisher: [Read original article]() Author: Gergely Orosz Published: 2026-08-12T16:45:07Z Content type: opinion Language: en Sources: [The Pragmatic Engineer]() Topics: [Artificial Intelligence](), [Development](), [AI-assisted coding](), [observability](), [DevOps]() Tags: [ai](), [coding-agents](), [development](), [devops](), [engineering](), [observability](), [software-engineering]() ### AI overview A podcast discussion with Charity Majors examines how AI is changing software engineering, including code generation, code reviews, reliability, verification, observability, DevOps, and engineering leadership. The episode argues that AI is becoming a foundational part of development while increasing the importance of engineering discipline. ### Source excerpt In 2025, it was rational to be skeptical about AI. In 2026, it's not, anymore. With Charity Majors, CTO and co-founder of Honeycomb. ## DevOps vs Platform Engineering & Software Platforms DevFeed: [DevOps vs Platform Engineering & Software Platforms]() Original publisher: [Read original article]() Author: Eric Minick Published: 2026-08-11T00:00:00Z Content type: article Language: en Sources: [Harness Blog]() Topics: [DevOps](), [Platform Engineering](), [Software Engineering](), [CI/CD](), [Infrastructure as code](), [Monitoring](), [Artificial Intelligence]() Tags: [ai](), [ci-cd](), [devops](), [infrastructure-as-code](), [monitoring](), [platform-engineering](), [policy-as-code](), [self-service](), [software-engineering]() ### AI overview This article explains how DevOps and platform engineering address different parts of software delivery. It describes DevOps as a culture and set of practices, while platform engineering provides internal tooling and self-service infrastructure to make those practices repeatable at scale. It also discusses when platform engineering becomes useful, how software engineering platforms combine both approaches, and why AI increases the need for governed self-service and policy-as-code. ### Source excerpt DevOps vs platform engineering: what is the difference? Learn how they relate, when to use each, and how a software engineering platform combines both. | Blog ## DevOps Automation Platform Explained: Why You Need One DevFeed: [DevOps Automation Platform Explained: Why You Need One]() Original publisher: [Read original article]() Author: Eric Minick Published: 2026-08-11T00:00:00Z Content type: tutorial Language: en Sources: [Harness Blog]() Topics: [DevOps](), [Automation](), [Deployment](), [Artificial Intelligence](), [ci](), [Provisioning](), [Terraform](), [Ansible](), [Incident response]() Tags: [ai](), [ansible](), [automation](), [ci](), [deployment](), [devops](), [incident](), [monitoring](), [provisioning](), [security](), [terraform]() ### AI overview This article explains how a DevOps automation platform connects build, test, deployment, security, provisioning, incident response, and rollback workflows. It contrasts an integrated, workflow-aware platform with separate automation tools such as Ansible, CI runners, and Terraform, and describes AI-native capabilities including test selection, failure diagnosis, anomaly detection, and auto-remediation. ### Source excerpt What is a DevOps automation platform and why does your team need one? How deployment automation, AI, and automated DevOps speed up delivery. | Blog ## Port's Integration Catalog: 200+ Tools for Your Context Lake DevFeed: [Port's Integration Catalog: 200+ Tools for Your Context Lake]() Original publisher: [Read original article]() Author: Alina Barenboim Published: 2026-08-10T16:27:08Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [CI/CD](), [Kubernetes](), [GitHub](), [Provisioning](), [incident management](), [Application Performance Management (APM)](), [Security](), [Code review](), [Deployment](), [DevOps](), [GitHub Actions](), [GitLab]() Tags: [apm](), [ci-cd](), [deployment](), [devops](), [git](), [github](), [github-actions](), [gitlab](), [incident-management](), [jenkins](), [kubernetes](), [review](), [security](), [vulnerabilities]() ### AI overview Port's Integration Catalog describes more than 200 integrations that unify engineering-tool data in a queryable Context Lake. It covers Git, Kubernetes, CI/CD, incident management, APM, security scanning, service mesh, policy violations, deployments, build results, and code activity, with support for custom integrations through Ocean, connectors, APIs, events, and MCPs. ### Source excerpt Explore Port's 200+ integrations across CI/CD, Kubernetes, incident management, security, and more, all feeding one Context Lake. ## How HoneyBook uses Port to serve engineering & agents across the AI SDLC? DevFeed: [How HoneyBook uses Port to serve engineering & agents across the AI SDLC?]() Original publisher: [Read original article]() Author: Zohar Einy Published: 2026-08-10T14:26:14Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [sdlc](), [DevOps](), [Deployment](), [Automation](), [GitHub](), [Tooling]() Tags: [agents](), [ai-agents](), [automation](), [deployment](), [developers](), [devops](), [engineering](), [github](), [platform](), [production](), [sdlc](), [workflows]() ### AI overview HoneyBook moved deployment, rollback, and new-service creation workflows onto Port so developers could perform routine platform tasks themselves. The self-service flows expose service state, Argo CD health, production commits, logs, and rollback actions while enforcing deployment safeguards such as end-to-end test completion and manager approval for bypasses. HoneyBook is also extending these workflows to AI agents. ### Source excerpt See how HoneyBook turned deploys, rollbacks, and new-service creation into self-service flows with Port - and is extending them to AI agents. ## YAML for DevOps Beginners, Syntax, Rules and Common Mistakes DevFeed: [YAML for DevOps Beginners, Syntax, Rules and Common Mistakes]() Original publisher: [Read original article]() Author: Pramodh Kumar M Published: 2026-08-06T17:16:19Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [YAML](), [configuration](), [DevOps](), [Ansible](), [ci](), [Kubernetes]() Tags: [ansible](), [block-scalars](), [ci-cd](), [cloud](), [configuration](), [devops](), [errors](), [guide](), [how-to](), [json](), [kubernetes](), [kubernetes-yaml-manifests](), [linter](), [mistakes](), [multi-document-yaml](), [structure](), [syntax](), [validation](), [yaml](), [yaml-anchors-and-aliases](), [yaml-common-mistakes](), [yaml-for-devops](), [yaml-indentation-rules](), [yaml-norway-problem](), [yaml-syntax-rules](), [yaml-vs-json](), [yamllint-validation]() ### AI overview A tutorial explaining YAML syntax, implicit typing, indentation rules, block scalars, anchors, aliases, and merge keys. It emphasizes that YAML can silently reinterpret unquoted values and recommends linting and schema validation in CI pipelines. ### Source excerpt YAML tries to guess what you meant, and that is the entire problem. Once you know which values it silently reinterprets and why, the manifests that mysteriously break stop being mysterious. ## Deploy Apps and Database Migrations in One CD Pipeline DevFeed: [Deploy Apps and Database Migrations in One CD Pipeline]() Original publisher: [Read original article]() Author: Animesh Pathak Published: 2026-08-05T00:00:00Z Content type: tutorial Language: en Sources: [Harness Blog]() Topics: [CI/CD](), [Database Migration](), [Deployment](), [Databases](), [DevOps]() Tags: [ci-cd](), [database](), [deployment](), [devops](), [governance](), [migrations](), [pipeline](), [visibility]() ### AI overview The article explains how Harness CD and Database DevOps can combine application deployments and database schema migrations in one CI/CD pipeline. It describes how this unified workflow can improve release consistency, visibility, governance, verification, and rollback safety while reducing deployment risk and operational overhead. ### Source excerpt Learn how Harness CD and Database DevOps automate application deployments and database schema migrations in a unified CI/CD pipeline. | Blog ## Build Azure Skills Faster with Cloud Academy, a Visual Studio Subscriber Benefit DevFeed: [Build Azure Skills Faster with Cloud Academy, a Visual Studio Subscriber Benefit]() Original publisher: [Read original article]() Author: James Rempt Published: 2026-08-04T14:00:38Z Content type: article Language: en Sources: [Visual Studio Blog]() Topics: [Azure](), [Visual Studio](), [Cloud](), [Artificial Intelligence](), [DevOps](), [Automation](), [workflow automation](), [Prompt Engineering]() Tags: [ai](), [automation](), [azure](), [cloud](), [devops](), [learn](), [learning](), [prompt-engineering](), [visual-studio](), [visual-studio-subscriptions]() ### AI overview This article presents Cloud Academy as a Visual Studio subscriber benefit for building practical Azure skills. It highlights hands-on labs, certification-focused learning paths, assessments, sandbox experimentation, and AI-powered guidance, with examples spanning Azure administration, deployment, DevOps, security, cost optimization, Azure AI, and prompt engineering. ### Source excerpt If you've been looking for a practical way to build Azure skills, Cloud Academy (a QA company) gives Visual Studio subscribers hands-on learning that fits into busy schedules. Whether you're new to Azure, expanding your cloud expertise, working towards certifications or preparing for more advanced projects, this benefit helps you learn by doing. What you'll find in Cloud Academy The Cloud Academy benefit gives Visual Studio subscribers a flexible [...] The post Build Azure Skills Faster with Cloud Academy, a Visual Studio Subscriber Benefit appeared first on Visual Studio Blog. ## Your MVP doesn't need a Kubernetes cluster DevFeed: [Your MVP doesn't need a Kubernetes cluster]() Original publisher: [Read original article]() Author: Ryan Donovan Published: 2026-08-04T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [Kubernetes](), [cloud-infrastructure](), [Cloud](), [DevOps]() Tags: [cloud-infrastructure](), [devops](), [infrastructure](), [kubernetes](), [podcast](), [running-software](), [se-stackoverflow](), [se-tech]() ### AI overview The episode discusses why most startups should avoid beginning with Kubernetes and cloud-infrastructure management. Anurag Goel describes how frustrations with spinning up nodes led to building Render, considers applications allocating their own compute, and argues that DevOps jobs will continue to matter. ### Source excerpt Ryan welcomes Anurag Goel, CEO and co-founder of Render, to discuss why most startups shouldn't start by managing their Kubernetes and cloud infrastructure. ## Worth Reading 080126 DevFeed: [Worth Reading 080126]() Original publisher: [Read original article]() Author: Russ Published: 2026-08-01T13:09:17Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [DevOps](), [End-to-End Encryption](), [BGP](), [Encryption](), [Internet](), [Latency](), [Cloud](), [cloud-infrastructure](), [Databases](), [event driven](), [Artificial Intelligence]() Tags: [ai](), [article](), [bgp](), [cloud](), [databases](), [devops](), [encryption](), [event-driven](), [internet](), [latency](), [software](), [storage](), [systems](), [worth-reading]() ### AI overview A curated "Worth Reading" roundup covering goodput and latency targets, the efficiency costs of Big AI, internet infrastructure and BGP's ORIGIN attribute, and current debates over end-to-end encryption. ### Source excerpt The honest target is goodput, meaning requests per second that actually met your latency targets. Count anything else and you are counting cold plates. I find it strange that as a software industry, we put in so much effort to make our systems efficient to design, build, and scale with DevOps practices, cloud native architectures, event-driven functions, optimized databases and storage, and resource-sipping Lean IT -- then we threw it all out the window when Big AI came along. If there is one universal law in internet infrastructure, it is that no good intention goes unpunished by the practical realities of legacy software maintenance. This Article updates and expands on 2012 research on encryption and globalization, analyzing what the authors call "Round 3" of the Going Dark Debate: the current controversies over end-to-end encryption (E2EE). Using our unique position on the Internet, we took an investigative look at one of the well-known mandatory attributes in BGP, the ORIGIN attribute. ## Managing Environment Variables and Secrets in DevOps DevFeed: [Managing Environment Variables and Secrets in DevOps]() Original publisher: [Read original article]() Author: Pramodh Kumar M Published: 2026-08-01T13:00:47Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [DevOps](), [configuration](), [GitGuardian](), [GitHub](), [Terraform](), [Kubernetes]() Tags: [ci-cd-secrets-management](), [cloud](), [collaboration](), [collaboration-tools](), [configuration](), [container](), [crash](), [devops](), [devsecops](), [dynamic-secrets](), [env-file-security](), [environment-variables](), [gitguardian](), [github](), [hardcoded-credentials](), [hashicorp-vault](), [jira](), [kubernetes](), [kubernetes-secrets](), [leak](), [managing-environment-variables-and-secrets](), [rotation](), [safety](), [sealed-secrets](), [secret-rotation](), [secret-scanning](), [secrets](), [secrets-management-best-practices](), [security](), [storage](), [terraform](), [vault]() ### AI overview A guide to managing environment variables and secrets in DevOps. It explains how secrets escape through repositories, processes, crash reports, containers, collaboration tools, Kubernetes Secrets, and Terraform state, and discusses storage, access controls, lifecycles, and rotation. ### Source excerpt Nearly 29 million secrets were pushed to public GitHub in a single year, and most teams still discover their own leaks by accident. Here is how environment variables actually escape, and what to use instead at each stage. ## How DNS Works for DevOps Engineers DevFeed: [How DNS Works for DevOps Engineers]() Original publisher: [Read original article]() Author: Pramodh Kumar M Published: 2026-07-31T17:00:06Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [DevOps](), [Internet](), [Kubernetes](), [Security]() Tags: [1-1-1-1](), [authoritative-name-server](), [cloudflare](), [cname-vs-a-record](), [coredns-kubernetes](), [devops](), [dig-command-examples](), [dns](), [dns-for-devops-engineers](), [dns-record-types](), [dns-resolution-process](), [dns-troubleshooting](), [guide](), [health-checks](), [how-dns-works](), [infrastructure](), [kubernetes](), [linux](), [lookup](), [networking](), [outage](), [production](), [recursive-resolver](), [security](), [troubleshooting](), [ttl-in-dns](), [web]() ### AI overview A practical guide to DNS for DevOps engineers, tracing a lookup from a laptop through recursive, root, TLD, and authoritative servers. It explains TTL, caching, Kubernetes DNS and ndots, troubleshooting with command-line tools, and the security risk of dangling records. ### Source excerpt Almost every engineer uses DNS a hundred times a day and has never been taught how it works. This guide follows a single lookup from your laptop to the answer, then shows you exactly where it breaks in production. ## Top 10 developer productivity tools DevFeed: [Top 10 developer productivity tools]() Original publisher: [Read original article]() Author: Jenna Danoy Published: 2026-07-30T11:29:15Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [developer-productivity](), [Developer experience](), [DevOps](), [internal developer portal](), [Software Engineering]() Tags: [cognitive-load](), [collaboration](), [developer-productivity](), [devops](), [efficiency]() ### AI overview This article presents a list of developer productivity tools intended to help engineering teams ship faster, reduce friction, and improve collaboration. It discusses tool sprawl, developer experience, cognitive load, software engineering intelligence, developer surveys, and governance or task management. ### Source excerpt Explore developer productivity tools that help teams ship faster, reduce friction, and improve collaboration across engineering workflows. ## Developer productivity insights platforms (DPIP) measure dashboards. Your DevEx problem is bigger Than that. DevFeed: [Developer productivity insights platforms (DPIP) measure dashboards. Your DevEx problem is bigger Than that.]() Original publisher: [Read original article]() Author: Zohar Einy Published: 2026-07-30T11:28:55Z Content type: opinion Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [code productivity](), [devex](), [dashboards](), [developer-productivity](), [Artificial Intelligence](), [DevOps](), [Platform Engineering](), [CI/CD](), [Large Language Model](), [Optimization](), [migration]() Tags: [agentic](), [ai](), [ci-cd](), [dashboards](), [developer-productivity](), [devex](), [devops](), [llm](), [measurements](), [metrics](), [migration](), [optimization](), [platform-engineering]() ### AI overview This developer article argues that Developer Productivity Insight Platforms (DPIP) should extend beyond measuring engineering time, resources, effectiveness, and delivery progress. It says dashboards and metrics are insufficient without workflows and self-service actions that help developers resolve identified problems. The article also highlights platform convergence, CI/CD integrations, agentic solutions, LLM support, resource optimization, and data migration, arguing that enterprise engineering needs an end-to-end platform connecting insight to action. ### Source excerpt Gartner defines DPIP as solutions that provide software engineering leaders with data-driven insights into their teams' use of time, resources, operational effectiveness and progress on deliverables. ## Port AI Builder: Vibe Coding for Platform Engineering DevFeed: [Port AI Builder: Vibe Coding for Platform Engineering]() Original publisher: [Read original article]() Author: Etay Alony Published: 2026-07-30T11:26:02Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [Platform Engineering](), [Vibe coding](), [coding](), [Artificial Intelligence](), [DevOps](), [sdlc](), [ide]() Tags: [agent](), [agentic](), [ai](), [coding](), [development](), [devops](), [engineering](), [governance](), [platform](), [platform-engineering](), [sdlc](), [vibe-coding](), [workflows]() ### AI overview Port AI Builder is presented as a natural-language, vibe-coding experience for platform engineering. It helps teams create and operate production-grade agentic workflows and platform enhancements, with organizational context, governance, visibility, and human approval built into the process. ### Source excerpt Port AI Builder turns natural language into production-grade platform resources, with your approval and governance at every step. ## 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. [Next page]()