promscale
posthog-foss
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promscale | posthog-foss | |
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18 | 2 | |
1,330 | 204 | |
- | 8.8% | |
0.0 | 10.0 | |
29 days ago | 2 days ago | |
Go | Python | |
Apache License 2.0 | MIT License |
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.
promscale
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Promscale Deprecation
Now that Promscale has been deprecated, what are the other ideal means of self-hosted long term Prometheus storage?
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What do you use when you have to store high cardinality metrics?
Oh wow, I browsed the project just a few weeks ago, didn't see it then. I see the deprecation is recent (https://github.com/timescale/promscale/issues/1836)
- Promscale Has Been Discontinued
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Show HN: SigNoz – open-source alternative to DataDog, NewRelic
They say:
> if you want to have a seamless experience between metrics and traces, then current experience of stitching together Prometheus & Jaeger is not great.
But I wonder if using Promscale https://github.com/timescale/promscale would make Prometheus & Jaeger not such a big problem as SigNoz imply.
Promscale readme:
> Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
Either way, SigNoz seems interesting indeed. And am glad to see that SigNoz supports OpenTelemetry.
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Timescale raises $110M Series C
Hi! So the team is over 100 at this point, but engineering effort is spread across multiple products at this point.
The core timescaledb repo [0] has 10-15 primary engineers (although we are aggressively hiring for database internal engineers), with a few others working on DB hyperfunctions and our function pipelining [1] in a separate extension [2]. I think generally the set of folks who contribute to low-level database internals in C is just smaller than other type of projects.
We also have our promscale product [3], which is our observability backend powered by SQL & TimescaleDB.
And then there is Timescale Cloud, which is obviously a large engineering effort (most of which does not happen in public repos).
And we are hiring. Fully remote & global.
https://www.timescale.com/careers
[0] https://github.com/timescale/timescaledb
[1] https://www.timescale.com/blog/function-pipelines-building-f...
[2] https://github.com/timescale/timescaledb-toolkit
[3] https://github.com/timescale/promscale ; https://github.com/timescale/tobs
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Tools for Querying Logs with SQL
Promscale is a connector for Prometheus, one of the leading open-source monitoring solutions. Promscale is developed by Timescale, a time series database with full compatibility to Postgres. Since logs are time series events, Timescale developed Promscale to ingest events from Prometheus and make them available in SQL. You can install Promscale in numerous ways.
- New release Promscale
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Can Apache Druid replace Thanos? Can they complement themself?
In case it helps, Promscale (from Timescale) offers long-term storage for Prometheus data and supports both PromQL and SQL queries. Here's the project page: https://www.timescale.com/promscale/ and the repo is here https://github.com/timescale/promscale It also support OpenTelemetry tracing if that's of interest.
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Benchmarking: TimescaleDB vs. ClickHouse
At first, let's give the definition of `time series`. This is a series of (timestamp, value) pairs ordered by timestamp. The `value` may contain arbitrary data - a floating-point value, a text, a json, a data structure with many columns, etc. Each time series is uniquely identified by its name plus an optional set of {label="value"} labels. For example, temperature{city="London",country="UK"} or log_stream{host="foobar",datacenter="abc",app="nginx"}.
ClickHouse is perfectly optimized for storing and querying of such time series, including metrics. That's true that ClickHouse isn't optimized for handling millions of tiny inserts per second. It prefers infrequent batches with big number of rows per each batch. But this isn't the real problem in practice, because:
1) ClickHouse provides Buffer table engine for frequent inserts.
2) It is easy to create a special proxy app or library for data buffering before sending it to ClickHouse.
TimescaleDB provides Promscale [1] - a service, which allows using TimescaleDB as a storage backend for Prometheus. Unfortunately, it doesn't show outstanding performance comparing to Prometheus itself and to other remote storage solutions for Prometheus. Promscale requires more disk space, disk IO, CPU and RAM according to production tests [2], [3].
[1] https://github.com/timescale/promscale
[2] https://abiosgaming.com/press/high-cardinality-aggregations/
[3] https://valyala.medium.com/promscale-vs-victoriametrics-reso...
Full disclosure: I'm CTO at VictoriaMetrics - competing solution for TimescaleDB. VictoriaMetrics is built on top of architecture ideas from ClickHouse.
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Zabbix anything I should know?
Promscale + TimescaleDB
posthog-foss
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Show HN: SigNoz – open-source alternative to DataDog, NewRelic
Yeah, understand the use cases you are pointing to. We are planning to introduce a foss only version of the product for users who know that they won't be need the enterprise version. It will not have any enterprise bits, and you could just keep using it as you want. something similar to this - https://github.com/PostHog/posthog-foss
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A tale of 5 pivots, thousands of users and $12M. What we learned
We do have a completely FOSS version here: https://github.com/posthog/posthog-foss :). The only difference is support for Clickhouse and some advanced permissioning stuff.
What are some alternatives?
thanos - Highly available Prometheus setup with long term storage capabilities. A CNCF Incubating project.
PostHog - 🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
signoz - SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool
kube-thanos - Kubernetes specific configuration for deploying Thanos.
jaeger - CNCF Jaeger, a Distributed Tracing Platform
prometheus - The Prometheus monitoring system and time series database.
opentelemetry-go - OpenTelemetry Go API and SDK
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
uptrace - Open source APM: OpenTelemetry traces, metrics, and logs
Telegraf - The plugin-driven server agent for collecting & reporting metrics.
pmacct - pmacct is a small set of multi-purpose passive network monitoring tools [NetFlow IPFIX sFlow libpcap BGP BMP RPKI IGP Streaming Telemetry].