Operations | Monitoring | ITSM | DevOps | Cloud

Building Intelligent Search: A Tutorial on Aiven for OpenSearch and Vertex AI

Aiven for OpenSearch is a fully-managed service that provides an ideal way to run OpenSearch on Google Cloud. It is designed for companies looking to operate search applications without taking on the burden and complexity of self-managing the infrastructure in the cloud. Running on Google Cloud, the service is built upon core infrastructure like Google Compute Engine, Google Cloud Storage, and Private Service Connect.

Navigating the Database Ecosystem in 2025

In 2025, the database ecosystem is more diverse and interconnected than ever before. From AI-assisted natural language queries that analyze your data to open table formats that make it easy to bridge systems, data infrastructure is moving towards openness, intelligence, and composability. Modern databases are no longer isolated systems; they are part of a broader ecosystem where interoperability is as important as performance.

Exploring why PostgreSQL made generated columns virtual

Generated columns have existed in PostgreSQL since version 12. The idea was to allow people to make calculations based on other columns in the table and store them. It makes your life easier by ensuring data accuracy and preventing unauthorized manual modifications. But why, after 6 versions, is PostgreSQL making generated columns virtual and also making this new way the default? This is an example of the types of questions we had when exploring and playing around with this new feature.

Bridging the Gap Between Customer Support and Data Intelligence in Modern Operations

Customer support and operational data used to live in different worlds. Support teams handled people and conversations, while operations focused on systems and uptime. But those worlds are no longer separate, and pretending they are only slows things down. A spike in complaints might point to a backend issue. A confusing interface can trigger more tickets than any automated alert ever could.

Early Market Clues: How Real-Time Activity Shapes Trading Decisions

Most traders rely on lagging indicators, metrics that confirm trends only after they've occurred. As Investopedia explains, these indicators "reflect the outcomes of past events," leaving traders a step behind when momentum shifts. In contrast, leading indicators point to potential moves before they appear in price data - the kind of foresight that separates anticipation from reaction.

InfluxDB 3 on Amazon Timestream for InfluxDB: Real-Time Performance, Now Fully Managed on AWS

Today, we’re announcing a major milestone for developers building the next generation of intelligent, real-time systems: InfluxDB 3 is available on Amazon Timestream for InfluxDB, now the default time series database offered directly in the AWS Management Console. This brings InfluxDB 3, our next-generation time series database, directly into the AWS ecosystem for the first time.

Get Kafka-Nated Ep 8: Realistic Synthetic Streaming Data w/ Michael Drogalis

Get Kafka-Nated Ep. 8 Wednesday, October 15th 2025 Guest Focus: Founder of ShadowTraffic, former Confluent stream-processing lead (Kafka Streams, ksqlDB), creator of the Onyx Platform Michael Drogalis joins host Hugh Evans to unpack one of the toughest challenges in stream processing: creating realistic synthetic test data for Kafka. Michael founded ShadowTraffic after leading Kafka Streams and ksqlDB at Confluent and building open-source stream systems like Onyx.

Distributed Historian Architecture with InfluxDB 3

From pipelines to warehouses, modern operations generate more distributed data than ever, with equipment and connected devices spread across factories, grids, and remote sites. A single, centralized historian can no longer handle this volume or distribution. Without change, organizations risk fragmented visibility, higher costs, and slower responses.