Operations | Monitoring | ITSM | DevOps | Cloud

Where Historians Fall Short for Physical AI

Summary Physical AI—machines and industrial systems that sense conditions, reason, and act in the real world—needs two things from operational data: detailed history for training, and real-time telemetry for inference. Traditional data historians weren’t built for either at the speed Physical AI requires. Four gaps result: limited real-time access, compression that strips model-relevant signal, IT/OT fragmentation, and site-by-site architectures.

What's New in InfluxDB 3.11: A Significant Performance Upgrade for Complex Time Series Workloads

Summary InfluxDB 3.11 delivers major performance and data management updates for growing time series workloads, with significantly faster queries on recent data, expanded support for wide and ultra-sparse schemas, and a more predictable resource profile under load. InfluxDB 3 Enterprise also adds backup and restore, bulk Parquet import, row-level deletes, and a built-in Explorer UI.

AI-Powered Spacecraft Operations with InfluxDB 3

Summary The InfluxDB satellite telemetry demo is a live mission-control application that monitors a simulated fleet of 12 satellites in real-time. It shows how the InfluxDB 3 Processing Engine can detect anomalies as data is written, enrich time series data with third-party data, and power a grounded AI agent using the InfluxDB 3 MCP server to investigate and explain fleet health.

Aiven for ClickHouse 26.3 LTS: Full-Text Search, Async Inserts, and Materialized CTEs

Aiven for ClickHouse 26.3 is now available in Early Availability. This upstream Long-Term Support release makes full-text search generally available, enables asynchronous inserts by default, introduces materialized common table expressions, and brings a wide range of JSON and query-performance improvements. The upstream 26.3 release includes 27 new features and 40 performance optimizations.

PGVector Isn't Your Vector Databasing Cure-All - and That's Fine

Occasionally, I get asked, "is pgvector enough for Enterprise AI Solutions or should I migrate to a dedicated vector database?" The honest answer is No Create EXTENSION vector; ALONE is not going to solve your solution for enterprise AI. That being said, I don't think you're asking the right question. The better question is, "does a dedicated vector database make sense for my workload or would pgvector suffice?".

Real-Time Satellite Monitoring with InfluxDB 3 & Claude

See how InfluxData built an AI-powered satellite fleet dashboard using InfluxDB 3 Enterprise. Head of Product Marketing Ryan Nelson demonstrates how the system handles high-cardinality telemetry and burst ingestion, detects anomalies in real time, and connects live operational data to Claude through the InfluxDB 3 MCP server. The result is faster fleet-wide analysis, reliable telemetry ingestion, and an integrated workflow for anomaly detection, investigation, and response.

Aiven Acquires Flow AI to Bring Agent Infrastructure Closer to Production Data

Helsinki, Finland — Aiven has acquired Flow AI, a company building infrastructure for production-grade analytical AI agents. The integration of Flow AI technology will accelerate Aiven's product roadmap and make it easier for customers to securely and scalably run production AI applications and agents next to their data.

What's New in InfluxDB 3: 5 New Processing Engine Plugins

Summary The five most recent plugins from the InfluxDB team are live: Sagemaker, value counter, Chronos forecasting, simple data replicator, and a stock portfolio tracker. Table of Contents The InfluxDB team has released five new Processing Engine plugins. They range from making it easy to call a hosted ML model to pulling in stock market data in real-time. Every one of them can be activated with a few terminal commands.

Your Prospect Data Is a Pipeline, and Nobody Is Monitoring It

Engineering teams have spent a decade learning that data has a shelf life. Metrics go stale. Caches drift. Pipelines break quietly and keep serving results that look plausible until someone checks the source. That is why observability exists as a discipline and not just a dashboard.