Discover how API management and service mesh can go hand in hand toward secured platforms Over the last ten years, Kongers have witnessed hundreds of companies adopting a full lifecycle API management platform and have been working with the people behind the scenes, the “API tribes.” We’ve also learned from the field that API tribes most often have to deal with heterogeneous platforms, infrastructures, and clouds.

We previously explored how we built our own Serverless Engine and a multi-region networking layer based on Nomad, Firecracker, and Kuma. But what about the architecture of the engine that orchestrates these components across the world? This is an interesting topic to work on and we thought it could be useful to share some internals out there. Put on your scuba equipment, this is a deep dive into our architecture and the story of how we built our own global deployment engine.

We're excited to announce not one but… 4 new regions in public preview! Everyone with Starter access or more can now deploy simultaneously across our 6 regions in EU, US, and APAC in literally 1 minute.

Confluent and AWS Lambda can be used for building real-time, scalable, fault-tolerant event-driven architectures, ensuring that your application logic is executed reliably in response to specific business events. Confluent provides a streaming SaaS solution based on Apache Kafka® and built on Kora: The Cloud Native Apache Kafka Engine, allowing you to focus on building event-driven applications without operating the underlying infrastructure.

At Koyeb, we're working to build the most seamless way to deploy apps to production without worrying about infrastructure. But there's still plenty to keep you busy at the application layer with performance tuning and troubleshooting. That's why we're introducing Metrics — an easy way to monitor and troubleshoot application performance. Deploying on Koyeb makes thinking about infrastructure or orchestration unnecessary.

Speed and efficiency are paramount during the build process. If you use a Dockerfile to build your container images from source code, you want to know about build cache. In this blog post, we’ll talk about what happens when you create a Docker image using a Dockerfile, how caching works with Docker, and how to optimize your Dockerfiles to maximize the benefits of build cache with Docker and on Koyeb.

Today, we are excited to announce the support of Dockerfile based deployments in general availability. You can now deploy any GitHub repository that contains a Dockerfile across all our locations worldwide. It can be used to deploy APIs, full-stack applications as well as workers with no extra cost. Building and deploying using Dockerfiles offers more flexibility: you can deploy any kind of application, framework, and runtime, including with custom system dependencies.

Today, we are thrilled to announce workers are generally available on Koyeb! You can now easily deploy high performance workers to process background jobs in all of our locations. It's now simple to deploy workers from a GitHub repository and rely on our built-in CI/CD engine: simply connect your repository and we build, deploy, and scale your workers on high-performance servers all around the world.

I had the chance to finally sit down and find a way to inspect TLS traffic flowing out of an application running on my machine. Although I did not invent anything, I needed to put together a lot of different tricks in order to succeed, and the documentation I could find online regarding this process is scattered, at best. So, here we are with a guide on “how to inspect TLS encrypted traffic without going nuts”. Hope you enjoy!

We are happy to announce the release of the Koyeb CLI 3.0! This release brings three crucial improvements: Smoother flow for creating and updating services, reworked error messages to ease troubleshooting, and a new foundation to continue building out our CLI. If you want to get started using the Koyeb CLI to deploy your services and applications worldwide directly from your terminal, read the Koyeb CLI documentation and CLI reference.