Telepresence
Telepresence streamlines your local development process, enabling immediate feedback. You can launch your local environment on your laptop, equipped with your preferred tools, while Telepresence seamlessly connects them to the microservices and test databases they rely on. It simplifies and expedites collaborative development, debugging, and testing within Kubernetes environments by establishing a seamless connection between your local machine and shared remote Kubernetes clusters.
Why Telepresence:
Faster feedback loops: Spend less time building, containerizing, and deploying code. Get immediate feedback on code changes by running your service in the cloud from your local machine.
Shift testing left: Create a remote-to-local debugging experience. Catch bugs pre-production without the configuration headache of remote debugging.
Deliver better, faster user experience: Get new features and applications into the hands of users faster and more frequently.
Learn more
Gefyra
Building and pushing containers to test them in Kubernetes is repetitive and time-consuming. Writing and debugging code that depends on services in Kubernetes is daunting. Especially if they are not reachable during development.
Gefyra is an Open Source project that runs local code in any Kubernetes cluster without the build and push cycle. It overlays containers in the cluster making code changes immediately available.
Gefyra enables you to:
- Run containers and talk to internal services on an external Kubernetes cluster
- Operate feature-branches in a production-like Kubernetes environment with all adjacent services
- Overlay Kubernetes cluster-internal services with you local container.
- Leverage development clusters for multiple developers at the same time.
- Write code in the IDE you already love
- Leverage all the neat development features, such as debugger, code-hot-reloading, overriding
- Run high-level integration tests against all dependent services
Learn more
Speedscale
AI bug repair from real production traffic, run entirely in your cloud. Speedscale captures HTTP, gRPC, and SQL traffic via eBPF inside your Kubernetes cluster. Production payloads never leave your perimeter.
When a failure occurs: the capture agent records the exact request, a triage agent classifies it, a reproduction agent replays it against your codebase, and a validation agent verifies the fix before the PR opens. Fully autonomous or human-gated.
You supply the cloud, storage, and AI models (Anthropic, Llama, or your own). Speedscale orchestrates the loop with no cloud, model, or storage lock-in.
proxymock: free CLI giving AI coding agents (Claude Code, Cursor, Copilot) real production context via MCP. No signup required.
Meets PCI and HIPAA data-residency requirements. Used by Home Depot, IHG, FLYR, Cimpress/Vistaprint, Navitaire, and Ascension Health.
Learn more
KubeGrid
Define your Kubernetes infrastructure, and use KubeGrid to automatically deploy, monitor, and optimize up to thousands of clusters. KubeGrid automates the full lifecycle management of Kubernetes in on-prem and cloud environments, enabling developers to deploy, manage, and update large numbers of clusters with ease. KubeGrid is a Platform as Code, meaning you can declaratively define all your Kubernetes requirements as code, from your on-prem or cloud infrastructure, to cluster specs, and autoscaling policies, and KubeGrid will deploy and manage everything for you. Most infrastructure-as-code tools help you provision infrastructure, but stop there. KubeGrid goes beyond that to help developers automate Day 2 operations, such as monitoring infrastructure, failing over unhealthy nodes, and updating your clusters and operating system. Kubernetes is great for provisioning pods in an automated fashion.
Learn more