Showing 3 open source projects for "datadog"

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    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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  • 1
    Datadog Client Libraries for Go

    Datadog Client Libraries for Go

    Datadog Go Library including APM tracing, profiling, and security

    Datadog Application Performance Monitoring (APM) gives deep visibility into your applications with out-of-the-box performance dashboards for web services, queues, and databases to monitor requests, errors, and latency. Distributed traces seamlessly correlate to browser sessions, logs, profiles, synthetic checks, network, processes, and infrastructure metrics across hosts, containers, proxies, and serverless functions.
    Downloads: 0 This Week
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  • 2
    PipeCD

    PipeCD

    The One CD for All {applications, platforms, operations}

    ...Support multiple application kinds on multi-cloud including Kubernetes, Terraform, Cloud Run, AWS Lambda, Amazon ECS. Support multiple analysis providers including Prometheus, Datadog, Stackdriver, and more. Easy to operate multi-cluster, multi-tenancy by separating control-plane and piped.
    Downloads: 0 This Week
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  • 3
    flagger

    flagger

    Progressive delivery Kubernetes operator (Canary, A/B Testing)

    ...Flagger implements several deployment strategies (Canary releases, A/B testing, Blue/Green mirroring) using a service mesh (App Mesh, Istio, Linkerd, Kuma, Open Service Mesh) or an ingress controller (Contour, Gloo, NGINX, Skipper, Traefik, APISIX) for traffic routing. For release analysis, Flagger can query Prometheus, InfluxDB, Datadog, New Relic, CloudWatch, Stackdriver or Graphite and for alerting it uses Slack, MS Teams, Discord, and Rocket. Flagger can be configured with Kubernetes custom resources and is compatible with any CI/CD solutions made for Kubernetes. Since Flagger is declarative and reacts to Kubernetes events, it can be used in GitOps pipelines together with tools like Flux.
    Downloads: 2 This Week
    Last Update:
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