Akuity

The Argo Project isn't a stack you need to adopt all at once. 🐙 Each tool solves a different Kubernetes problem. Start with Argo CD when you need GitOps-based deployment and drift detection. Add Workflows when jobs need real orchestration. Bring in Rollouts when release risk calls for canary or blue-green strategies. Use Events when external events need to trigger Kubernetes-native automation. Our refreshed Argo 101 guide breaks down what each project does and, more importantly, when it earns a place in your platform. Read the guide using the link in the comments. 👇

A developer needs to deploy. The platform team gets a ticket. 🎟️ A sync fails. The platform team gets paged. Someone needs an RBAC exception. Another ticket. 🎟️ 🎟️ When every routine deployment and troubleshooting request runs through the platform team, developer self-service isn't really self-service. And as AI-assisted development accelerates code delivery, those manual bottlenecks only become more noticeable. What if developers could move applications through environments and troubleshoot delivery issues themselves, without bypassing the guardrails platform teams depend on? 🔁 Join Eddie Webbinaro for a live, end-to-end demo of self-service deployments on the Akuity Platform. You'll see how Kargo provides structured promotion workflows, how platform-defined gates preserve control and auditability, and how AI-assisted troubleshooting helps developers resolve issues without immediately paging an SRE. Fewer routine tickets. More time for actual platform engineering. ✅

You don’t have to start agentic software delivery by giving an AI agent permission to change production. 🔄 Start read-only. Akuity’s new getting-started guide walks through how to connect an agent to the Agentic Control Plane, inspect your fleet, compare versions across Argo CD instances, review application health, and investigate delivery history before enabling any write actions. 🐙 From there, teams can decide how much authority makes sense. 🤔 The guide also breaks down Akuity’s three MCP guardrail levels: Read-only, Read & write, and Full. If you’re evaluating where AI agents fit into your delivery workflow, this is the practical place to start. Read now ➡️ https://lnkd.in/gyxV58YN

AI agents are already moving beyond code generation and into deployment, promotion, and production operations. That makes access control a software delivery problem, not just an AI problem. SiliconANGLE & theCUBE coverage of the Akuity Agentic Control Plane gets into the practical side of that: identity inheritance, policy enforcement, auditability, delivery context, and the ability to work across clusters without issuing another set of credentials. It also includes perspective from Major League Baseball on what they’ve already seen using the platform in practice. Read the full story: https://lnkd.in/gh8UUbGC

Most teams probably aren’t going to hand an AI agent broad production autonomy on day one. That’s part of what HyperFRAME Research gets right in its take on Akuity’s Agentic Control Plane. The more immediate value is in bounded, practical work: troubleshooting, recommendations, routine delivery tasks, and actions that still respect existing permissions and approval rules. The piece also raises the right measurement questions: Can agents help teams recover faster? Can they automate routine promotions without increasing risk? Can teams reconstruct why an action happened? Read the full analysis from HyperFRAME Research: https://lnkd.in/eqDzAM_P

Argo CD handles continuous delivery. But what happens when an application needs to move from dev → staging → production? 🐙 That is where Kargo comes in. 🔁 Join Taylor Thomas, Staff Software Engineer and Kargo Maintainer at Akuity, for 𝗚𝗶𝘁𝗢𝗽𝘀 𝟭𝟬𝟭: 𝗚𝗲𝘁𝘁𝗶𝗻𝗴 𝗦𝘁𝗮𝗿𝘁𝗲𝗱 𝘄𝗶𝘁𝗵 𝗞𝗮𝗿𝗴𝗼. Taylor will walk through how Kargo works alongside Argo CD to add structure and automation to multi-stage promotion workflows, without falling back on one-off scripts and manual processes. You’ll learn: ✅ How Kargo automates application promotions ✅ How to structure multi-stage application lifecycles ✅ Practical best practices for getting started If you're beginning to think beyond GitOps deployment and into promotion, this is a good place to start. 👇

Barcelona platform engineers: we’re meeting tomorrow! Emburse will share what they learned running Argo CD across multiple production clusters, where the operational model started to strain, and how they moved toward developer self-service with Akuity. 🐙 We’ll also demo Kargo, open the floor for Q&A, and give attendees a chance to deploy an application to a live cluster. 📍 Emburse Office, Passeig de Gràcia nº9 📅 September 22 If you’ve been working through GitOps scale, multi-cluster management, or application promotion, there’s still time to join us. ➡️ https://lnkd.in/e8zC8uRz

Tracking DORA metrics shouldn't become another engineering project. Most teams have to pull data from Git, CI/CD, incident tools, and project trackers, then build and maintain the integrations that connect it all. But if your platform already manages deployment and promotion, much of that data already exists. That's the idea behind Akuity's DORA Metrics Dashboard. Teams using Kargo on the Akuity Platform automatically get visibility into: 📊 Deployment Frequency ⏱️ Lead Time for Changes 📉 Change Failure Rate 🔄 Mean Time to Recovery No separate data pipeline. No dashboard to build. No custom queries to configure. Our updated blog walks through where the data comes from and how teams can use it to understand software delivery performance. Read more: https://lnkd.in/gyZQ6WBe

Last day of AGNTCon + MCPCon Europe! If you haven’t stopped by yet, come find the Akuity team at Booth G16. We’ll be talking AI-assisted Kubernetes troubleshooting, agentic SRE workflows, multi-cluster operations, Argo CD, Kargo, and what it takes to bring AI into real production environments with the right context and guardrails. 🐙 Come say hi, meet the team, and see what Akuity can do. 👋

Argo CD 3.6 RC1 is here. 🐙 This release brings improvements across performance, the UI, progressive syncs, observability, ApplicationSets, and more. Some highlights: 🔎 A new Resources Explorer for searching and filtering managed resources across Applications 📉 Controller memory and CPU improvements for large environments 📊 Better visibility into Progressive Syncs with new metrics and conditions 📦 A new OCI generator for ApplicationSets ⚡ Faster filtering, searching, and rendering in the UI 🔭 Expanded OpenTelemetry tracing across reconciliation It’s also good to see Akuity maintainers continuing to contribute upstream. Blake P., Nitish Kumar, and Alexander Matyushentsev all contributed work included in this release. There are more than 170 bug fixes in RC1 as well. Take a look at what’s new and help test the release candidate: https://lnkd.in/g-h-bP_3