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2 repository-uri

Awesome GitHub RepositoriesRule Evaluation Scaling

Distributing rule evaluation across multiple instances to handle increased rule volume.

Distinct from Horizontal Scaling: Distinct from general Horizontal Scaling: focuses specifically on scaling rule evaluation, not data ingestion or query processing.

Explore 2 awesome GitHub repositories matching data & databases · Rule Evaluation Scaling. Refine with filters or upvote what's useful.

Awesome Rule Evaluation Scaling GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • cortexproject/cortexAvatar cortexproject

    cortexproject/cortex

    5,751Vezi pe GitHub↗

    Cortex is an open-source, horizontally scalable metrics platform that ingests, stores, and queries Prometheus-compatible time-series data with multi-tenant isolation. It accepts metrics via Prometheus remote write and OpenTelemetry, executes PromQL queries against both recent and historical data, and provides a Prometheus-compatible alerting and recording rule engine with an integrated Alertmanager. The system is built as a set of independently scalable microservices that use hash-ring-based sharding, gossip-based cluster membership, and tenant-aware object storage to distribute workloads acro

    Cortex distributes rule evaluation across multiple ruler instances to handle increased rule volume.

    Gocncfhacktoberfestkubernetes
    Vezi pe GitHub↗5,751
  • e2b-dev/open-computer-useAvatar e2b-dev

    e2b-dev/open-computer-use

    2,084Vezi pe GitHub↗

    Open-computer-use is a framework designed to connect vision-capable language models to isolated cloud-based desktop environments. It functions as an agentic interface that enables autonomous systems to interact with graphical user interfaces by simulating mouse movements, keyboard keystrokes, and shell commands. By bridging language models with remote workspaces, the platform facilitates the execution of complex, long-running tasks within secure, sandboxed environments. The platform distinguishes itself through its ability to orchestrate thousands of concurrent, isolated instances, making it

    Launches thousands of isolated sandbox instances simultaneously to run and evaluate multiple reward functions for reinforcement learning or large-scale research projects.

    Pythonagentaianthropic
    Vezi pe GitHub↗2,084
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