Showing 6 open source projects for "state-thread"

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  • 1
    GCP Config Connector

    GCP Config Connector

    GCP Config Connector, a Kubernetes add-on for managing GCP resources

    ...Its central idea is that infrastructure objects such as Cloud Storage or Cloud Spanner resources can be described declaratively in manifests, after which Config Connector creates or updates the corresponding Google Cloud resources and continuously reconciles them to match the declared state. This makes the project highly valuable for teams practicing GitOps, platform engineering, or Kubernetes-centered operations, because it brings cloud resource management into the same control model used for application deployment. The repository also reflects an active emphasis on resource development and reconciliation reliability, including a newer direct development approach intended to provide a more Kubernetes-native authoring experience.
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  • 2
    mo - Monads

    mo - Monads

    Monads and popular FP abstractions, powered by Go 1.18+ Generics

    mo - Monads is a functional programming utility library for Go that introduces monads and related abstractions using modern Go generics. The project brings well-known FP constructs such as Option, Result, Either, Future, IO, and Task into the Go ecosystem to help developers write safer and more composable code. By leveraging generics introduced in Go 1.18+, the library provides strong type safety without relying on reflection or code generation. It is particularly useful for managing...
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  • 3
    kafka-go

    kafka-go

    Kafka library in Go

    We rely on both Go and Kafka a lot at Segment. Unfortunately, the state of the Go client libraries for Kafka at the time of this writing was not ideal. sarama, which is by far the most popular but is quite difficult to work with. It is poorly documented, the API exposes low level concepts of the Kafka protocol, and it doesn't support recent Go features like contexts. It also passes all values as pointers which causes large numbers of dynamic memory allocations, more frequent garbage collections, and higher memory usage. confluent-kafka-go is a cgo based wrapper around librdkafka, which means it introduces a dependency to a C library on all Go code that uses the package. ...
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  • 4
    Dragonboat

    Dragonboat

    A feature complete and high performance multi-group Raft library in Go

    ...It is also very easy to use, our step-by-step examples can help new users to master it in half an hour. Easy to use pure-Go APIs for building Raft based applications. Feature complete and scalable multi-group Raft implementation. Disk based and memory based state machine support. Fully pipelined and TLS mutual authentication support.
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  • 5
    cache2go

    cache2go

    Concurrency-safe Go caching library with expiration capabilities

    ...It supports multiple independent cache tables, allowing developers to organize cached data according to different use cases or domains. The library includes features such as automatic expiration, callbacks on data eviction, and thread-safe operations for concurrent environments. It is designed to be easy to integrate into Go applications, offering a straightforward API for common caching tasks. cache2go can help improve performance by reducing the need for repeated computations or database queries. It also provides flexibility in managing cache lifecycles and behaviors. ...
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  • 6
    go-cache

    go-cache

    An in-memory key:value store/cache library for Go

    go-cache is an in-memory key:value store/cache similar to memcached that is suitable for applications running on a single machine. Its major advantage is that, being essentially a thread-safe map[string]interface{} with expiration times, it doesn't need to serialize or transmit its contents over the network. Any object can be stored, for a given duration or forever, and the cache can be safely used by multiple goroutines. Although go-cache isn't meant to be used as a persistent datastore, the entire cache can be saved to and loaded from a file (using c.Items() to retrieve the items map to serialize, and NewFrom() to create a cache from a deserialized one) to recover from downtime quickly.
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