mimir
vitess
| mimir | vitess | |
|---|---|---|
| 36 | 60 | |
| 3,749 | 17,937 | |
| 2.1% | 1.1% | |
| 9.9 | 9.9 | |
| 7 days ago | about 3 hours ago | |
| Go | Go | |
| GNU Affero General Public License v3.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mimir
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Monitoring Is a Pain
It consists of 6 separate components to run, plus 4 additional optional components [1]. And I don't even count 5 additional caches [2]. How is that "simple and easy"?
[1] https://grafana.com/docs/mimir/latest/references/architectur...
[2] https://github.com/grafana/mimir/blob/9a52522a05f25d6d6bc2e8...
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Is anyone frustrated with anything about Prometheus?
Yes, but also no. The Prometheus ecosystem already has two FOSS time-series databases that are complementary to Prometheus itself. Thanos and Mimir. Not to mention M3db, developed at Uber, and Cortex, then ancestor of Mimir. There's a bunch of others I won't mention as it would take too long.
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Does anyone have an example of a simple mimir monolith docker compose config?
I used the one in their tutorial.
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NTOP experience?
Grafana Agent can collect and stream data via Prometheus remote write protocol. Then you can either use Prometheus or Mimir. to receive the data at a central location. It depends on how many millions of series you need to collect.
- Prometheus node exporter and cadvisor to send metrics to central prometheus cluster
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Thousandeyes Pricing Model
Long term storage all depends on your needs and sophistication. I use Thanos for our system since it has an extremely flexible scaling system. But there is also Grafana Mimir. They're both similar in that they use Prometheus TSDB format as part of the underlying storage. One nice Thanos advantage is that it does do downsampling in addition to being able to store raw metric data for a long time. It will auto-select downsampled data to make requests faster.
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Time series databases
Grafana Mimir - scalable storage for Prometheus
- Long term Prometheus metric storage
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Best unicorn monitoring system?
Depending on how you want to set things up, you can use Thanos or Mimir to create the single-pane-of-glass view of your data.
- Centralized solution for Prometheus?
vitess
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A MySQL compatible database engine written in pure Go
With Vitess likely merging a lot of its binaries into a single unified binary: https://github.com/vitessio/vitess/issues/7471#issuecomment-...
... it would be a wild future if Vitess replaced the underlying MySQL engine with this as long as the performance is good enough.
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The challenges of supporting foreign key constraints
Thank you for the compliment!
We recently started adding support for CTEs in Vitess! You can check out https://github.com/vitessio/vitess/pull/14321 if you want to see some technical details of the implementation.
For now, we have added preliminary support by converting them to derived tables internally, but we believe that we need to make CTEs first-class citizens themselves of query planning. Once we make that change, we can look towards supporting recursive CTEs.
This however will take some time, but then, all good things do!
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Vitess 18
Why would it be a Google project? https://github.com/vitessio/vitess
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PlanetScale Scaler Pro
This is great news. I strolled around https://github.com/vitessio/vitess/issues/12967.
Are there any public discussions of more trade-offs vitess has to make to enable fks?
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What is the best database technology to use to create a new chat app today?
MySQL + Vitess I noticed Slack gets by using MySQL because they're using Vites. From Slack's post (https://slack.engineering/scaling-datastores-at-slack-with-vitess/) it seems like they choose Vites because it facilitated a smooth transition because it's built on top of MySQL.
- Vitess – Scalable. Reliable. MySQL-Compatible. Cloud-Native. Database
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How can I avoid duplicate API calls in a serverless infra?
This sounds very similar to the connection pooling done by vitess https://vitess.io/.
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Scaling Databases at Activision [pdf]
https://github.com/vitessio/vitess/issues/12967
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Want to avoid MySQL but find PlanetScale really appealing
A lot of this is possible thanks to the magic of Vitess.
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Vitess 16
"Vitess is a database clustering system for horizontal scaling of MySQL."
https://github.com/vitessio/vitess
What are some alternatives?
thanos - Highly available Prometheus setup with long term storage capabilities. A CNCF Incubating project.
tidb - TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
supabase - The open source Firebase alternative.
cortex - A horizontally scalable, highly available, multi-tenant, long term Prometheus.
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.
m3 - M3 monorepo - Distributed TSDB, Aggregator and Query Engine, Prometheus Sidecar, Graphite Compatible, Metrics Platform
citus - Distributed PostgreSQL as an extension
prometheus - The Prometheus monitoring system and time series database.
go-mysql-elasticsearch - Sync MySQL data into elasticsearch
ClickHouse - ClickHouse® is a free analytics DBMS for big data
kingshard - A high-performance MySQL proxy