Operations | Monitoring | ITSM | DevOps | Cloud

TL;DR - We made a way to use Cycle with AI models for doing things like deploying applications faster and diagnosing complex issues. If you'd like to get started right away with Cycle's Hosted MCP, check out our documentation. Today, we're launching a brand new way to interface with the Cycle Platform, that just a year or two ago would have felt entirely like science fiction. Our first ever AI-oriented tooling, Cycle's Hosted MCP, is live today.

Cycle recently went through a System and Organization Controls (SOC) 2 Type 1 audit and we've got the report. It’s an important step in our continuous commitment to data security and system availability. But are we just checking boxes for the sake of boxes or is there more behind it?

Function containers on Cycle have always been the efficient way to run batch jobs and workloads, with far more customization than traditional FaaS or serverless. What they couldn't do was run themselves. Over the past year, team after team told us the same thing: they wanted these functions on a schedule without standing up and babysitting a cron service. As of this release, Cycle fully supports CRON scheduled function containers.

We're thrilled to announce that we've added Cherry Servers, a European infrastructure provider, as another native integration to the Cycle platform. With this integration, Cycle clients have more choice in where, and how, they deploy their applications as Cherry offers a variety of bare metal server configurations across 7 data centers located around the globe. For a more formal announcement, please see our joint press release with Cherry Servers.

Key Takeaways In modern software delivery the pressure to iterate quickly is real. Kubernetes sparked a revolution in container orchestration, and it remains a huge forward step for many teams. But the truth is, adopting Kubernetes is not a guarantee that you'll suddenly move faster or reduce pain. Managing a Kubernetes cluster at scale requires deep expertise, dedicated operations, and often more overhead than many organizations anticipate. This has led many companies to explore Kubernetes alternatives.

Git is decentralized by design, yet most organizations have funneled their entire source of truth (repositories, CI triggers, access control, release tooling) onto one third-party platform that nobody on the team operates or can inspect. That concentration was a fair trade when self-hosting meant adding massive capex overhead, but with modern architectures and platforms, that's no longer the case.

We're thrilled to announce that Cycle's European Control Plane is now live! While a few organizations have been utilizing it over the past month, we're eager to officially open access to all teams. Before diving deeper into the "why," let's clarify what a Cycle Control Plane actually is. If you visit our status page, you'll see a list of the core services powering Cycle. These services include everything from our APIs to our 'factory' build systems.

There have been TWO major kernel vulnerabilities announced this week. Copy-Fail (CVE-2026-31431) was announced on April 30th. Dirty Frag (CVE-2026-43284), also known as 'Copy Fail 2: Electric Boogaloo' announced literally hours ago. Both have already been patched on Cycle, and our users can receive this update simply by restarting their nodes. The Linux patch was released less than an two hours ago, and we're the first to get it to our customers.

It is easier than ever to launch a product from scratch. Today, AI can make your team of two feel like a team of ten almost overnight. Enterprises across the tech industry are completely restructuring engineering teams to double down on AI coding, often incentivizing engineers for the sheer amount of code they push. The AI revolution is incredible. So, you would be crazy not to hop on the vibe coding train right? Well it depends on what exactly you are building.

It is easier than ever to launch a product from scratch. Today, AI can make your team of two feel like a team of ten almost overnight. Enterprises across the tech industry are completely restructuring engineering teams to double down on AI coding, often incentivizing engineers for the sheer amount of code they push. The AI revolution is incredible. So, you would be crazy not to hop on the vibe coding train right? Well it depends on what exactly you are building.