Operations | Monitoring | ITSM | DevOps | Cloud

How Nexus BMS Uses Time Series and AI to Power Smarter Buildings

Monitoring equipment isn’t enough for today’s smart buildings; true value comes from being able to predict issues, optimize performance, and take action automatically. Traditional building management systems often fall short, limited to dashboards and alarms that only notify you of an issue after the fact. With the rise of open source hardware, modern databases, and AI-driven diagnostics, facilities can now move from reactive to proactive management.

Welcome PostgreSQL 18: A New Era of Performance on Aiven

Aiven is proud to launch the newest version of PostgreSQL, version 18, alongside with the open source community as the first managed PostgreSQL provider to support the latest version. This year we had three Aiveners join in on contributing to this major release, a trend which we hope to only see increase. Congrats to Patrick Stählin, Ronan Dunklau, and Thomas Krennwallner for your contributions to the codebase.

Monitor your data pipelines with Airflow lineage

In complex data pipelines with dozens of jobs and intermediary datasets, it can be difficult to effectively monitor how data travels and changes through various steps. When tracking issues in these pipelines, you need visibility into upstream components where the root cause may originate from, as well as downstream datasets and consumers of data that may be experiencing further impacts.

Distinct Value Cache in InfluxDB 3

The Distinct Value Cache in InfluxDB 3 speeds up metadata queries and tag value lookups for faster, more responsive UIs. The Distinct Value Cache in InfluxDB 3 delivers sub-30 ms lookups for tag values and series metadata, making exploratory queries and UI dropdowns quick and responsive. By reducing latency on these common operations, it allows developers to build real-time monitoring and analytics tools without extra complexity.

InfluxDB 3 Enterprise: Deploy Your Way, Scale on Demand

InfluxDB 3 Enterprise is engineered for performance and designed for flexibility, delivering high-scale, production-ready time series data management with operational simplicity. InfluxDB 3 Enterprise is built on a cloud-native, diskless architecture that removes the limits of traditional storage. It’s easy to deploy, scales effortlessly, and eliminates the complexity of managing clusters so you can deploy your way and meet the unique demands of your environment.

Seamlessly Migrating 15k Redis servers to Valkey

For many years Redis has been the default for caching, message queues, and fast data storage. However recent changes to its licensing mean that companies who want truly open-source tools need to make a switch. This is why Valkey was created. We are leading the way in offering a smooth path to move your current Redis setups to a fully open-source managed Valkey service.

Building Real-Time Data Pipelines with Kafka, Telegraf, and InfluxDB 3

When milliseconds matter and data never stops flowing, you need a pipeline that can handle high-velocity streaming data with reliability and scale. The modern streaming stack of Kafka, Telegraf, and InfluxDB 3 Core delivers exactly that. To give you a concrete example, this blog works with a fictitious use case: “Papa Giuseppe’s Pizzeria.” Every oven, prep station, and order in this pizza restaurant generates data. Our workflow looks like this.

Future-Proofing Your Historian with a Time Series Database

As technology scales and data volumes accelerate, organizations face a pressing challenge: how can they modernize data infrastructure without putting daily operations at risk? Data historians, specialized databases that capture and store time-stamped machine and sensor data, have long been the foundation for reliability and compliance. However, they were not designed for the openness and advanced analytics that modern workloads demand.