dtm
groupcache
dtm | groupcache | |
---|---|---|
20 | 12 | |
5,149 | 12,731 | |
- | 0.4% | |
9.8 | 0.0 | |
about 2 years ago | 5 months ago | |
Go | Go | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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dtm
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How to reliably sync 2 application databases
- using a distributed transaction framework (like https://github.com/dtm-labs/dtm)
- Examples code for DTM Saga
- dtm 1.15.1 Released – A lightweight workflow engine to orchestrate micro-services for distributed transactions.
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Use workflow to handle distributed transactions
But in this article, we introduce a workflow pattern in github.com/dtm-labs/dtm. Under this pattern, a mixture of XA, SAGA and TCC can be applied to different branches in a single distributed transactions, allowing users to customize most of the contents of a distributed transaction, providing great flexibility.
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How to elegantly implement a multi-database outbox pattern
The open source distributed transaction framework https://github.com/dtm-labs/dtm has a two-stage message pattern inside that handles this problem very well. The following is an example of the use of an interbank transfer operation.
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How to Manage Anomalies in Saga Pattern in Microservices
The above Sub-transaction Barrier technique, when used in conjunction with the distributed transaction framework https://github.com/dtm-labs/dtm, has been made available in several language SDKs, with the following example code in Go.
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Building financial integration with Cadence in doordash
Maybe you can take a look at github.com/dtm-labs/dtm which provide built-in TCC pattern
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Understanding XA Transactions With Practical Examples in Go
Distributed XA transactions can solve the above business problem. This article presents a solution based on dtm-labs/dtm. DTM is a popular distributed transaction framework which supports XA, Saga, OutBox, and TCC patterns.
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dtm 1.13.5 Released – A distributed transaction framework that supports saga, tcc, xa, outbox patterns.
Github: https://github.com/dtm-labs/dtm
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How to Implement a Distributed Transaction Across Mysql, Redis, and Mongo
This article gives an example of implementing a distributed transaction across multiple store engines, Mysql, Redis and Mongo. This example is based on the Distributed Transaction Framework https://github.com/dtm-labs/dtm and will hopefully help to solve your problems in data consistency across microservices.
groupcache
- [imcache] A generic in-memory cache Go library. Feedback appreciated.
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DREAMEMO: An out-of-the-box, high-scalability, modular-design distributed cache
As shown in the title, DREAMEMO is a distributed cache with out-of-the-box, high-scalability, modular-design features.The groupcache implementation is referenced, and re-structured, specific module differentiation is as follows:
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Sourcehut will blacklist the Go module mirror
I remember one of the first real-world uses of Go being the groupcache package: https://github.com/golang/groupcache (to serve Chrome downloads, IIRC?)
> comes with a cache filling mechanism. Whereas memcached just says "Sorry, cache miss", often resulting in a thundering herd of database (or whatever) loads from an unbounded number of clients (which has resulted in several fun outages), groupcache coordinates cache fills such that only one load in one process of an entire replicated set of processes populates the cache, then multiplexes the loaded value to all callers.
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Distributed fault-tolerant persistent atomic counter in golang
I read that group cache (https://github.com/golang/groupcache) can be used to sync servers around a key.
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How can you ensure all Microservices have finished their tasks?
I've not tried this myself, but I've seen it suggested to use groupcache (https://github.com/golang/groupcache) to sync your servers.
- What is for you the project who represents the best the power of Golang ?
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go-generics-cache: An in-memory key:value store/cache library for Go Generics
https://github.com/golang/groupcache is managing distributed caching that addresses thundering herd problem of memcache.
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How to Create HTTP Cache Service in Golang?
How it goes sometimes. Check out https://github.com/golang/groupcache and of course the AWS golang SDK.
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Redis inside cluster
There is also groupcache, written by the same author as memcached, but better.
- Can you share some Go package that you think has high quality clean code?
What are some alternatives?
Seata - :fire: Seata is an easy-to-use, high-performance, open source distributed transaction solution.
BigCache - Efficient cache for gigabytes of data written in Go.
go-cache - An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.
temporal - Temporal service
cache2go - Concurrency-safe Go caching library with expiration capabilities and access counters
bolt
rqlite - The lightweight, distributed relational database built on SQLite.
InfluxDB - Scalable datastore for metrics, events, and real-time analytics
Tile38 - Real-time Geospatial and Geofencing
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.
ledisdb - A high performance NoSQL Database Server powered by Go