TimescaleDB
Telegraf
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TimescaleDB | Telegraf | |
---|---|---|
82 | 111 | |
16,445 | 13,734 | |
1.4% | 0.9% | |
9.8 | 9.9 | |
about 9 hours ago | 1 day ago | |
C | Go | |
GNU General Public License v3.0 or later | 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.
TimescaleDB
- TimescaleDB: An open-source time-series SQL database
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Google Cloud Spanner is now half the cost of Amazon DynamoDB
Don't forget PostgreSQL extensions. For something like a chat log, TimescaleDB (https://www.timescale.com/) can be surprisingly efficient. It will handle partitioning for you, with additional features like data reordering, compression, and retention policies.
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How to setup Postgres master-master cluster.
Offboard it to Postgres specialists like https://www.timescale.com/
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How to Choose the Right MQTT Data Storage for Your Next Project
TimescaleDB{:target="_blank"}: an extension of PostgreSQL that adds time-series capabilities to the relational database model. It provides scalability and performance optimizations for handling large volumes of time-stamped data while maintaining the flexibility of a relational database.
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Why does the presence of a large write-only table in a PostgreSQL database cause severe performance degradation?
Have some experience with https://www.timescale.com in this context
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Opinions and Suggestions for PostgreSQL Extension under Development
What about getting in touch with commercial organisations that have products/services based on PostgreSQL? For example Timescale, EDB, and Citus Data, or really any hosting provider that offers a managed PostgreSQL service.
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I have to do about a million inserts on a table every day that is also under very frequent reads. How should I do that?
There is Timescale.
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Ask HN: It's 2023, how do you choose between MySQL and Postgres?
Friends don't let their friends choose Mysql :)
A super long time ago (decades) when I was using Oracle regularly I had to make a decision on which way to go. Although Mysql then had the mindshare I thought that Postgres was more similar to Oracle, more standards compliant, and more of a real enterprise type of DB. The rumor was also that Postgres was heavier than MySQL. Too many horror stories of lost data (MyIsam), bad transactions (MyIsam lacks transaction integrity), and the number of Mysql gotchas being a really long list influenced me.
In time I actually found out that I had underestimated one of the most important attributes of Postgres that was a huge strength over Mysql: the power of community. Because Postgres has a really superb community that can be found on Libera Chat and elsewhere, and they are very willing to help out, I think Postgres has a huge advantage over Mysql. RhodiumToad [Andrew Gierth] https://github.com/RhodiumToad & davidfetter [David Fetter] https://www.linkedin.com/in/davidfetter are incredibly helpful folks.
I don't know that Postgres' licensing made a huge difference or not but my perception is that there are a ton of 3rd party products based on Postgres but customized to specific DB needs because of the more liberalness of the PG license which is MIT/BSD derived https://www.postgresql.org/about/licence/
Some of the PG based 3rd party DBs:
Enterprise DB https://www.enterprisedb.com/ - general purpose PG with some variants
Greenplum https://greenplum.org/ - Data warehousing
Crunchydata https://www.crunchydata.com/products/hardened-postgres - high security Postgres for regulated environments
Citus https://www.citusdata.com - Distributed DB & Columnar
Timescale https://www.timescale.com/
Why Choose PG today?
If you want better ACID: Postgres
If you want more compliant SQL: Postgres
If you want more customizability to a variety of use-cases: Postgres using a variant
If you want the flexibility of using NOSQL at times: Postgres
If you want more product knowledge reusability for other backend products: Postgres
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Help with timeseries data
TimescaleDB is Postgres with extensions to automatically partition tables for fast processing of time series data.
- Postgres for time-series data
Telegraf
- How I would automate monitoring DNS queries in basic Prometheus
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Current network throughput from total byte value?
The Telegraf (v1.27.3) Net Input Plugin only reports total numbers - i.e., total bytes received by an interface.
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Filestat working but need help with output
I need some help with Filestat - https://github.com/influxdata/telegraf/tree/master/plugins/inputs/filestat
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Telegraf Deployment Strategies with Docker Compose
Telegraf’s Secretstores Plugin implementation on GitHub
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Right way to link containers on host vs custom network.
That's the thing, I do need network_mode: host on telegraf in order to get host network statistics. See here or here
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Telegraf Inputs.SMART
After screwing around with it for a while, I was able to get inputs.smart working... but I'm not thrilled with the answer. According to this in order for you to get the SMART data inside a container you need to edit the sudoers file inside the container.
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Learnings from integrating JMX based metrics from Java applications into time series databases
I’ve been using the Jolokia agent with telegraf to push JVM metrics into InfluxDB (among other things). I think it can be used with Prometheus too.
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open source network monitoring tool
Do you mean Telegraf?
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Help with reading modbus using telegraf
I have two devices; both are connected to a Raspberry Pi using a USB converter as Slave 1 and 2. I want to get some readings using Telegraf software https://github.com/influxdata/telegraf/tree/release-1.26/plugins/inputs/modbus (happy to try any other linux software), but I'm having trouble (I'm seriously confused to be honest) with byte_order, data_type, and input register addresses.
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Telegraf processor plugin.
Yeah i think you can use the grok processor, docs found here: https://github.com/influxdata/telegraf/tree/master/plugins/parsers/grok
What are some alternatives?
ClickHouse - ClickHouse® is a free analytics DBMS for big data
prometheus - The Prometheus monitoring system and time series database.
promscale - [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
TDengine - TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.
Collectd - The system statistics collection daemon. Please send Pull Requests here!
GORM - The fantastic ORM library for Golang, aims to be developer friendly
pfSense-Dashboard - A functional and useful dashboard for pfSense that utilizes influxdb, grafana and telegraf
temporal_tables - Temporal Tables PostgreSQL Extension
OPNsense-Dashboard - A functional and useful dashboard for OPNsense that utilizes InfluxDB, Grafana, Graylog, and Telegraf.
pgbouncer - lightweight connection pooler for PostgreSQL
tcollector - Data collection framework for OpenTSDB