Operations | Monitoring | ITSM | DevOps | Cloud

Exploring how PostgreSQL 18 conquered time with temporal constraints

Do you like working with time in your code? If yes, you’re likely one of the lucky ones who are blissfully unaware of how deep the rabbit hole goes. If you don’t like it, I have good news for you! Postgres can make working with time more enjoyable! The newly released temporal constraints let you easily maintain referential integrity across temporal relationships. That might seem simple, but it's kind of a big deal. Let’s explore it through an example.

From Logs to Insights: Observability with ClickHouse

Watch this session to learn why ClickHouse is a natural fit for observability pipelines and log analytics platforms. Includes a demo of Aiven for ClickHouse service. Relevant for DevOps and Platform Engineers, SREs and Observability/Monitoring Leads AIVEN DATA PLATFORM The Aiven Platform is more than a collection of open source services for streaming, storing and analyzing data. The platform ensures that all services run reliably and securely in the clouds of your choice, are observable, and can easily be integrated with each other and with external 3rd party tools.

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.

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.

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.

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.

UUIDv7 will make it easy to query your PG data! It's also Python Compatible!

AIVEN DATA PLATFORM The Aiven Platform is more than a collection of open source services for streaming, storing and analyzing data. The platform ensures that all services run reliably and securely in the clouds of your choice, are observable, and can easily be integrated with each other and with external 3rd party tools.

Exploring PostgreSQL 18's new UUIDv7 support

Should you use UUIDs as the primary key in your database? You might have heard they are terrible for performance, which is often true for traditional UUIDv4. However, the introduction of UUIDv7 fixes many of the previous issues of UUIDv4. Let’s therefore explore what they are and why it might be a good idea to use them.

Kafka's 80% Problem

Kafka is too expensive and complex for 80% of users. Most Kafka usage is small-data - ~60% of clusters are sub-1 MB/s, yet teams pay big-data prices. Diskless (KIP-1150), Tiered, and Iceberg topics give Apache Kafka multiple storage classes, but they’re advanced storage primitives. They are powerful in the hands of seasoned platform teams but too complex for beginners.