Top 8 Free Kafka UI Tools 2025
Discover the Best Free Tools to Monitor, Manage, and Visualize Your Kafka Clusters in 2025.
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How to Use the Power BI Desktop InfluxDB 3 ODBC Connector
The challenge of storing, processing, and alerting on your time series data is only part of the battle when it comes to deriving value from time-stamped data. While InfluxDB 3 addresses those hurdles with the database and Python processing engine, data analytics teams still need to be able to visualize their data and build dashboards to complete the time series story.
Get Kafka-Nated Episode 9: Live from Current New Orleans
Get Kafka-Nated: Live from Current (New Orleans) Thursday, October 30th, 2025 10:00–11:00 AM CDT Broadcasting Live from the Aiven booth at Current 2025 We’re shaking things up for a special live edition of Get Kafka-Nated! Join host Hugh Evans for a high-energy hour of rapid-fire conversations with experts shaping the future of streaming data. Broadcasting directly from Current 2025 in New Orleans, this episode packs six lightning interviews into one hour, mixing deep technical insights with a few fun surprises along the way.
Optimizing GPU Efficiency and AI Costs with Pepperdata
As AI workloads explode, platform owners face an increasingly common challenge: a massive gap between GPU demand and supply. Pending workloads, idle GPUs, and rising costs make it harder than ever to scale AI efficiently. In this video, we explore how Pepperdata.ai helps enterprises regain control of their GPU environments with two breakthrough solutions: Demand Optimization – Get granular visibility into GPU usage across your entire infrastructure. Identify inefficiencies, balance supply and demand, and uncover hidden capacity.
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.
What's New at Catchpoint Ep 3: RUM Analysis
Introducing Catchpoint’s brand new AI-driven automatic root cause analysis tool! Stack Map Root Cause Analysis AI Insights.
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.