Showing 3 open source projects for "amazon"

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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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    Go from Code to Production URL in Seconds

    Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

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    OpenObserve

    OpenObserve

    Elasticsearch/Splunk/Datadog alternative for (logs, metrics, traces)

    ...You can reduce your log storage costs by ~140x compared to Elasticsearch by using OpenObserve. Below are the results when we pushed logs from our production Kubernetes cluster to Elasticsearch and OpenObserve using fluent bit. OpenObserve stored data in Amazon s3 and Elasticsearch stored data on Amazon EBS volumes.
    Downloads: 5 This Week
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  • 2
    Quickwit

    Quickwit

    Sub-second search & analytics engine on cloud storage

    Sub-second search & analytics engine on cloud storage. Quickwit is the fastest search engine on cloud storage. Quickwit has an Elasticsearch-compatible Ingest-API to make it easier to migrate your log shippers (Vector, Fluent Bit, Syslog, ...) to Quickwit. However, we only support ES aggregation DSL, the query DSL support is planned for Q2 2023. The core difference and advantage of Quickwit are its architecture built from the ground to search on cloud storage. We optimized IO paths, revamped...
    Downloads: 1 This Week
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  • 3
    Flog

    Flog

    A fake log generator for common log formats

    flog is a fake log generator built in Go that produces realistic log entries in several common formats, including Apache common, Apache combined, Apache error, RFC3164, RFC5424, and JSON. It was created to help developers and operators test systems that consume log data, such as log pipelines, SIEMs, or streaming platforms like Amazon Kinesis. Users can control the output by specifying the log format, output file path, log type (stdout, plain log file, or gzip-compressed file), and either the number of lines or the total byte size of logs to generate. Additional options let you simulate timing behavior by configuring creation intervals and generation delays, as well as splitting output into multiple files based on line count or file size. ...
    Downloads: 0 This Week
    Last Update:
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