Showing 4 open source projects for "high performance computing"

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  • 1
    Alibaba iLogtail

    Alibaba iLogtail

    Fast and Lightweight Observability Data Collector

    ...The resource cost of data collection is quite low, 5-20 times better than similar telemetry data collection Agent performance. High stability, used in the production of Alibaba and tens of thousands of Alibaba Cloud customers, and collecting dozens of petabytes of observable data every day with nearly tens of millions deployments.
    Downloads: 2 This Week
    Last Update:
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  • 2
    Envoy

    Envoy

    Cloud-native high-performance edge/middle/service proxy

    Envoy is an open source, high-performance edge/middle/service proxy designed for cloud-native applications. It was built by Lyft to solve the common problem of networking and observability when moving to a distributed architecture. Envoy is a proxy designed for single services and applications. Aside from that it is also a communication bus and “universal data plane” designed for large microservice “service mesh” architectures.
    Downloads: 2 This Week
    Last Update:
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  • 3
    QuestDB

    QuestDB

    An open source SQL database designed to process time series data

    QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports. QuestDB implements ANSI SQL with native extensions for time-oriented language features.
    Downloads: 5 This Week
    Last Update:
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  • 4
    Pixie

    Pixie

    Instant Kubernetes-Native Application Observability

    Pixie is an open-source observability tool for Kubernetes applications. Use Pixie to view the high-level state of your cluster (service maps, cluster resources, application traffic) and also drill down into more detailed views (pod state, flame graphs, individual full-body application requests). Pixie uses eBPF to automatically collect telemetry data such as full-body requests, resource and network metrics, application profiles, and more. Pixie collects, stores and queries all telemetry data...
    Downloads: 0 This Week
    Last Update:
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