Operations | Monitoring | ITSM | DevOps | Cloud

Logging and metrics data, regardless of what your business does digitally, are some of the most prolific data types that any service or application can produce. Logging data is generally about specific events that you care about in your application and metrics data is generally about overall system performance and uptime.

Developers love tools that make their workflows smoother, and that’s why the idea of integrating Aiven with Lovable.dev is so exciting! While not an official integration (yet), combining Aiven's fully managed cloud services with Lovable.dev’s focus on delightful developer experiences opens up new possibilities. Imagine streamlined database management, improved performance, and a more enjoyable development workflow, all with the tools you already love.

Connecting the data across your business and getting it where it needs to be can often be challenging and place undue operational stress across your application, infrastructure, and platform teams. Apache Kafka, and in particular the Apache Kafka Connect framework simplifies these pain points by allowing you to use Kafka to transport data from where it is produced, to where it needs to be stored, analyzed, or transformed.

Aiven for ClickHouse has become a favorite on the platform thanks to its blazing-fast analytical querying, built specifically to handle the unique challenges of OLAP workloads. It excels at crunching massive datasets in real-time, making it a favorite for demanding applications like log analytics, web analytics, and ad tech. At Aiven, we understand the power that ClickHouse can unlock for businesses of any size.

Tiered Storage for Apache Kafka is a simple idea that goes a longway. At its bare bones, it basically means: store most of the Kafka broker’s data in another server, e.g AWS S3. On the surface, it sounds insignificant—like a minor architectural tweak with minimal impact.

Money makes the world go around and this has never been more true when it comes to the data economy as innovative start-ups seek investment to achieve their ambitions and unlock their potential. Led by insight from Atomico and Realm, this piece - the fifth in our data economy series - will look at the data economy from an investment perspective - what traits do they look for in data-driven companies? How are start-ups approaching it? These are the questions this piece will answer.

The data economy may hinge on technology but it is being driven-forward by people. The fourth piece in our series explores this side of the data economy in detail looking at the evolution of digital skills required in today’s market. Featuring insight from Dojo, Atomico and WorkOrb, it looks at the challenges of finding people with the necessary skills and touches on what is required from a human capital perspective for companies to best achieve success in the data economy.

The third article in our Data Economy series examines what it takes to unlock the opportunities with AI. Based on some of the key findings of our own research ‘Predicting the Data and AI Revolution’ and exclusive insights provided by leaders in the data economy, this piece explores how organizations are currently using AI.

From the beginning, Kroo’s architecture was designed with future scalability in mind, using PostgreSQL as its database and Apache Kafka as the mechanism for message distribution. By embracing an asynchronous infrastructure, Kroo can also independently scale different parts of its system, improving efficiency and responsiveness. After securing its full UK banking license in 2022, Kroo launched its current account. In the next 12 months alone, it secured an impressive 150,000 customers.

This is the second piece in our Data Economy series. While the first, available here, looked at the data economy as a whole and why it is important, this piece looks more specifically at the environment around the data economy. This includes both the environment needed for it to thrive and the ecosystem of companies and businesses that are being created in order to evolve it.