Showing 7 open source projects for "gcs"

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  • 1
    fake-gcs-server

    fake-gcs-server

    Google Cloud Storage emulator & testing library

    fake-gcs-server is a lightweight emulator for the Google Cloud Storage API that allows developers to test applications locally without relying on actual cloud infrastructure. It replicates the behavior of GCS endpoints, enabling operations such as creating buckets, uploading objects, and querying storage data in a controlled environment. The server can be run as a standalone binary or inside a Docker container, making it flexible for integration into development and testing workflows. ...
    Downloads: 0 This Week
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  • 2
    Postgres Operator

    Postgres Operator

    Postgres operator creates and manages PostgreSQL clusters

    The Postgres Operator delivers easy-to-run highly available PostgreSQL clusters on Kubernetes (K8s) powered by Patroni. It is configured only through Postgres manifests (CRDs) to ease integration into automated CI/CD pipelines with no access to Kubernetes API directly, promoting infrastructure as code vs manual operations.
    Downloads: 1 This Week
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  • 3
    PGHoard

    PGHoard

    PostgreSQL® backup and restore service

    pghoard is a PostgreSQL backup and restore tool that provides encrypted, compressed, and cloud-optimized backups. Developed by Aiven, it supports streaming WAL archiving and full base backups to various cloud storage backends. pghoard is designed for reliability and fast disaster recovery in cloud-native PostgreSQL deployments.
    Downloads: 0 This Week
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  • 4
    Logging operator

    Logging operator

    Logging operator for Kubernetes

    The Logging operator solves your logging-related problems in Kubernetes environments by automating the deployment and configuration of a Kubernetes logging pipeline. The Logging operator manages the log collectors and log forwarders of your logging infrastructure, and the routing rules that specify where you want to send your different log messages. You can filter and process the incoming log messages using the flow custom resource of the log forwarder to route them to the appropriate...
    Downloads: 0 This Week
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  • 5
    OpenObserve

    OpenObserve

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

    OpenObserve is a cloud-native observability platform built specifically for logs, metrics, traces, and analytics designed to work at a petabyte scale. It is very simple and easy to operate as opposed to Elasticsearch which requires a couple of dozen knobs to understand and tune which you can get up and running in under 2 minutes. It is a drop-in replacement for Elasticsearch if you are just ingesting data using APIs and searching using Kibana (Kibana is not supported nor required with...
    Downloads: 1 This Week
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  • 6
    Grafana Loki

    Grafana Loki

    Multi-tenant log aggregation system inspired by Prometheus

    ...Unlike other logging systems, Loki is built around the idea of only indexing metadata about your logs: labels (just like Prometheus labels). Log data itself is then compressed and stored in chunks in object stores such as S3 or GCS, or even locally on the filesystem. A small index and highly compressed chunks simplifies the operation and significantly lowers the cost of Loki. Loki supports multi-tenancy so that data between tenants is completely separated. Multi-tenancy is achieved through a tenant ID (which is represented as an alphanumeric string). When multi-tenancy mode is disabled, all requests are internally given a tenant ID of “fake”.
    Downloads: 3 This Week
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  • 7
    SlateDB

    SlateDB

    A cloud native embedded storage engine built on object storage

    Unlike traditional LSM-tree storage engines, SlateDB writes data to object storage to provide bottomless storage capacity, high durability, and easy replication. SlateDB is an embedded storage engine built as a log-structured merge-tree. Unlike traditional LSM-tree storage engines, SlateDB writes data to object storage (S3, GCS, ABS, MinIO, Tigris, and so on). Leveraging object storage allows SlateDB to provide bottomless storage capacity, high durability, and easy replication. The trade-off is that object storage has a higher latency and higher API cost than local disk. To mitigate high write API costs (PUTs), SlateDB batches writes. Rather than writing every put() call to object storage, MemTables are flushed periodically to object storage as a string-sorted table (SST). ...
    Downloads: 0 This Week
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