Operations | Monitoring | ITSM | DevOps | Cloud

Get Kafka-Nated Episode 7

Join Hugh Evans on Get KafkaNated as he sits down with Tristan Stevens, VP of Global Customer Success at Redpanda Data and former Cloudera streaming expert. Tristan shares his unique perspective on the evolution of streaming infrastructure, drawing from years of experience leading customer success in both Hadoop ecosystems and next-generation streaming platforms.

Data Visualization Trends 2025: Why AI-Generated Charts Are Gaining Traction in DevOps

Data visualization in DevOps has undergone a dramatic shift over the past few years, evolving from static dashboards into dynamic, context-aware systems that update as quickly as pipelines themselves. As teams manage more logs, metrics, dependencies, and distributed environments than ever before, the demand for faster insight continues to grow. That's one reason many engineering groups have started turning to tools like an AI graph generator to automate routine visualizations and surface patterns that humans often miss when juggling multiple services.

Aiven for PostgreSQL

Hounded with operational overhead and slow queries? Learn how to fetch data faster and simplify database management with Aiven for PostgreSQL. Aiven’s fully managed PostgreSQL service delivers high performance, automated scaling, and built-in resilience - without the headaches of manual setup and maintenance. Discover how to optimise queries, reduce latency, and stay focused on building your applications instead of managing infrastructure.

Benchmarking Diskless Topics: Part 1

We benchmarked Diskless Kafka (KIP-1150) with 1 GiB/s in, 3 GiB/s out workload across three AZs. The cluster ran on just six m8g.4xlarge machines, sitting at <30% CPU, delivering ~1.6 seconds P99 end-to-end latency - all while cutting infra spend from ≈$3.32 M a year to under $288k a year. That’s a >94% cloud cost reduction. Extending Apache Kafka does come with an explicit tax.

Aiven for ClickHouse

Aiven for ClickHouse is back - better, faster, and stronger than ever. Explore how its new capabilities make it easier to build real-time analytics pipelines, handle massive query workloads, and extract insights at scale. Whether you’re streaming events, powering dashboards, or running analytics applications, Aiven for ClickHouse helps you move from data to decisions in record time.

Different ways to Search Text in PostgreSQL

When it comes to text search, PostgreSQL offers a surprisingly rich set of tools. Initially, text search capabilities were quite basic, often relying on the LIKE operator. This is inefficient for large amounts of text and lacks the nuance that comes with language. A major breakthrough came with the introduction of the built-in tsquery and tsvector data types, along with the associated functions, as part of PostgreSQL's core distribution. But tsquery is not the only option.

Kafka to ClickHouse in 6 Minutes

Learn how to stream data from Kafka into ClickHouse using Aiven’s integration wizard. In this demo, we show you how to generate sample logistics data in Kafka, configure the integration to map Avro-formatted fields, and connect to ClickHouse to view and query the ingested data. We also demonstrate how to create a materialised view in ClickHouse to store and query streamed data efficiently, making real-time analytics fast and easy.

Boosting Your Outreach Effectiveness: The Power of Verified Contact Data

Read any guide on successful entrepreneurship or effective sales strategies, and you'll likely encounter a common, underlying theme: it's all about building relationships. Regardless of what your business sells or the clients you're trying to reach, relationships form the bedrock of growth. And to build those relationships, businesses must consistently connect with potential customers - a task that becomes far more challenging when contact data is inaccurate or unreliable. This is where the power of verified contact data enters the scene.

Using the Downsampling Plugin in InfluxDB 3

Modern systems generate huge volumes of time series data. Advances in hardware and edge instrumentation enable sensors and applications to capture new values every second—or faster—which makes high-frequency measurement easy and affordable. When applied effectively, this steady flow of data reveals early warning signs, highlights subtle performance shifts, and helps teams understand how systems behave in real-time.