What’s New in InfluxDB 3.12: Distributed Compaction, 3x Faster Imports, and More Control
Time series deployments rarely grow the way they were planned. A single-node pilot becomes a multi-node fleet, an afternoon’s worth of test data becomes weeks of backfill that has to land before anyone can query it, and three teams end up writing to a database built for one. InfluxDB 3.11 delivered a higher-performance foundation for complex time series workloads, with significant performance…
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Telegraf 1.40 Release Notes
You can find the binaries for the latest Telegraf release on our Downloads page . Many thanks to all the open source community members who contributed to this effort! New plugins These are the newest plugins, first available in this version: Databricks Zerobus output ( outputs.zerobus ) Streams metrics to a Unity Catalog Delta table using the Databricks Zerobus Ingest service over gRPC to…
Building a Practical Time Series Data Layer for Automotive Manufacturing
Automotive manufacturing generates data at several operating cadences. Sensors and controllers emit measurements continuously. Equipment and line states change as events. Production and quality systems add context at the part, batch, shift, and plant level. Together, these records describe how a manufacturing process behaves over time. That data can support plant visibility, investigations, scrap…
Getting Started with InfluxDB 3 and Grafana Tutorial
InfluxDB and Grafana are the most common pairing in time series monitoring, and division of labor between them is simple. InfluxDB stores and queries the data: high-volume, time-stamped readings from sensors, servers, meters, vehicles, and anything else that emits time series. Grafana visualizes the data: dashboards, time series panels, stat tiles, state timelines, and alerts. Neither tool…
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How LinkedIn extended ClickHouse from distributed tracing to metric discovery and analytics
LinkedIn expanded its ClickHouse observability stack from distributed tracing to metric discovery and analytics, consolidating 13B+ metrics into one index serving 150k+ queries per minute.
What is direct I/O, and why does ClickHouse Managed Postgres use it for backups?
ClickHouse Managed Postgres uses direct I/O and stripe-sized reads to keep backups fast while protecting the page cache and query latency.
How Jev Uses Meko to Make Code Review Feedback Stick
When a Jev-powered check gets something wrong, and a person corrects it, where does that correction go, and how can you ensure the correction is implemented in future results? This blog explains why a decision model correction should live outside the model, what a system needs to ensure corrections carry into the next request, and the code review check that prevents the system from raising a…
Beyond the return: who controls the business?
A tax return can be correct and still tell the authority too little. The filing identifies the taxpayer but it may not reveal who actually controls the business. Investigations into tax fraud and related financial crime often depend on some… Read more →