Operations | Monitoring | ITSM | DevOps | Cloud

Get Kafka-Nated Episode 9

Dec 10, 2025 By Aiven In Aiven
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. Guests include Olena Kutsenko (Confluent), Ben Gamble (Ververica), Alex Merced (Dremio), Sion Smith (OSO), Zander Matheson (ex-ByteWax, Confluent), Hojjat Jafarpour (DeltaStream), and Tom Scott (Streambased).
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influxdata

Configuring the Alerting Plugin in InfluxDB 3

Dec 9, 2025 By Allyson Boate In InfluxData
Monitoring starts with data, but action depends on timely alerts. When an alerting workflow relies on scheduled queries or external checks, engineers miss short windows where values shift and conditions form. The alerting plugin closes that gap by evaluating alert rules inside InfluxDB 3 as new values arrive, enabling faster detection and more responsive monitoring.
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Get Kafka-Nated Episode 7

Dec 8, 2025 By Aiven In Aiven
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.
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Data Visualization Trends 2025: Why AI-Generated Charts Are Gaining Traction in DevOps

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

Dec 8, 2025 By OpsMatters In OpsMatters
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.
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Aiven for PostgreSQL

Dec 5, 2025 By Aiven In Aiven
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.
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Aiven

Benchmarking Diskless Topics: Part 1

Dec 4, 2025 By Filip Yonov In Aiven
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.
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Aiven for ClickHouse

Dec 4, 2025 By Aiven In Aiven
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.
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Aiven

Different ways to Search Text in PostgreSQL

Dec 3, 2025 By Jay Miller In Aiven
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.
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