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A minimal Kubernetes default backend server for unmatched ingress requests.
1h
10K+
NVIDIA CUDA base image. The runtime variant ships the CUDA runtime libraries (cudart, cublas, cufft, curand, cusolver, cusparse, npp); the dev variant adds the nvcc compiler and development headers. Intended as a base image for GPU-accelerated workloads.
1h
10K+
An operator for running distributed k6 tests.
1h
10K+
Jaeger v2 unified binary preconfigured to ingest spans from Kafka into a storage backend.
7h
10K+
A Model Context Protocol server that integrates with Docker Hub to search, inspect, and manage images and repositories.
7h
10K+
SpiceDB Operator manages SpiceDB authorization database instances in Kubernetes via SpiceDBCluster custom resources, handling provisioning, configuration, and version upgrades.
7h
10K+
The default build environment of Bitbucket Pipelines
1y
50M+
86
Apache Spark - A unified analytics engine for large-scale data processing
3d
1M+
122
A Model Context Protocol server for MongoDB that enables querying and schema discovery via MCP.
1h
10K+
An open-source Helm Chart Repository server with support for cloud and local storage backends.
7h
10K+
Docker images for the Camunda Platform 7 Community Edition.
1m
50M+
144
Grafana Beyla is an eBPF-based application auto-instrumentation tool that captures OpenTelemetry traces and metrics for web services and network flows without code changes.
7h
10K+
Orderer service that runs as part Hyperledger Fabric networks and provides an atomic broadcast ordering service for consumption by the peers
7h
10K+
Workflow as Code (TM) to build and operate resilient applications
2m
50M+
8
A Model Context Protocol server that exposes local filesystem operations to MCP clients.
1h
10K+
Admission webhook for Knative Serving resources. The webhook is a control-plane component of Knative Serving. It defaults and validates Knative Serving custom resources through Kubernetes admission control, and validates the Serving ConfigMaps.
7h
10K+
Scales Knative Services in response to request-driven load metrics. The autoscaler is a control-plane component of Knative Serving. It collects per-revision load statistics from the activator and queue-proxies, computes the desired number of pods for each Revision, and drives scaling decisions including scale-to-zero.
1h
10K+