orchestrator
pg_auto_failover
| orchestrator | pg_auto_failover | |
|---|---|---|
| 3 | 14 | |
| 5,492 | 1,036 | |
| 0.7% | 0.7% | |
| 0.0 | 6.4 | |
| 15 days ago | 3 months ago | |
| Go | C | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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orchestrator
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MariaDB Cluster Management
https://github.com/openark/orchestrator might be something for you. I dont know if it works with Mariadb, but it is made for regular old MySQL.
- Vitess 11
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MYSQL Operator: A MYSQL ❤ affair with Kubernetes
The whole infrastructure runs on top of Kubernetes, along with **Github Orchestrator** which is an open-source tools that provides a pretty intuitive UI, also we have the MYSQL Operator which does the actual heavy lifting & provisions various MySQL Nodes & Services, what’s even greater is that each MYSQL Instances has mysqld-exporter service running which can be used for monitoring.
pg_auto_failover
- 11 Years of Hosting a SaaS
- Streamlining High Availability in PostgreSQL, a Simpler Alternative
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Why PostgreSQL High Availability Matters and How to Achieve It
pg_auto_failover makes it an absolute breeze. I cannot understand how it's not mentioned in the article.
I've been runnning it for 3 years with great success - https://github.com/hapostgres/pg_auto_failover/discussions/6...
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Can someone share experience configuring Highly Available PgSQL?
Simplified and probably OK: pg_auto_failover - One Monitor/Witness node and minimum services otherwise. Good documentation to get started and not nearly as complex as Patroni.
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PG redundancy even in majority failure
There are tools that make managing such a system easier. Check out patroni, pg_auto_failover or PAF
- Just Use Postgres for Everything
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The C++ Asynchronous Framework
This is /extremely/ uncharitable. It depends more on the project.
For example, both Go and .NET are very well written with comprehensible documentation. Many projects have also been absorbed by the Apache Foundation or other FOSS initiatives.
Every FANG has boat loads of teams working on umpteen different open source packages. The quality naturally varies.
Let me pick two more esoteric projects as a point of comparison.
Yandex Odyssey (https://github.com/yandex/odyssey) an advanced multi-threaded PostgreSQL connection pooler and request router. Figuring out how exactly and when to use this is not quite clear. There is no "getting started" guide for this package. There is barely any explanation for how it works or what it does.
pg_auto_failover (https://github.com/citusdata/pg_auto_failover) run by Citus (owned by Microsoft) monitors and manages automated failover for a Postgres cluster. This repo even has diagrams explaining the workflow and complete instructions.
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Do you use Percona Distribution for PostgreSQL? How is it working for you?
Right, https://github.com/citusdata/pg_auto_failover has been on my reading list
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Simpler Postgresql replication setup (NO managed services)
My go to for this is https://github.com/citusdata/pg_auto_failover set up with ansible https://github.com/neuroforgede/pg\_auto\_failover\_ansible
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pg_auto_failover ile PostgreSQL Cluster Kurulumu
pg_auto_failover github | readthedocs | ytube
What are some alternatives?
mysql-operator - Asynchronous MySQL Replication on Kubernetes using Percona Server and Openark's Orchestrator.
patroni - A template for PostgreSQL High Availability with Etcd, Consul, ZooKeeper, or Kubernetes
citus - Distributed PostgreSQL as an extension
binlog - mysql binlog replication protocol in golang
postgresql_cluster - PostgreSQL High-Availability Cluster (based on "Patroni" and DCS "etcd" or "consul"). Automating with Ansible.
rclone - "rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files
plv8 - V8 Engine Javascript Procedural Language add-on for PostgreSQL
discussion
thanos - Highly available Prometheus setup with long term storage capabilities. A CNCF Incubating project.
tds_fdw - A PostgreSQL foreign data wrapper to connect to TDS databases (Sybase and Microsoft SQL Server)