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From cloud costs to cloud value: The role of performance analytics in increasing ROI

Many cloud providers offer services that scale with usage. However, unanticipated overutilization of compute instances, serverless functions, or managed databases can quickly drive up costs. Managing these resources effectively is crucial for keeping cloud spending predictable.

Get Kafka-Nated Bonus Episode: Viktor's Kafka Journey

In this episode, we sit down with Viktor Somogyi-Vass, a veteran of the Kafka ecosystem who recently joined Aiven after nearly a decade at Cloudera. Viktor shares his journey from becoming an Apache Kafka Committer to tackling the most complex challenges in modern cloud-native streaming. We dive deep into the architectural shift from traditional data centers to the cloud, exploring how Diskless Kafka (Disaggregated Storage) is slashing costs and why KIP-1134 is the next frontier for true multi-tenancy.

The KPI Trap in Supply Chain Analytics: How Teams Escape It

KPI dashboards can look like progress, especially when charts move and targets turn green. In many organizations, the dashboard becomes the meeting, the meeting becomes the process, and the process quietly replaces real problem solving. The result is a lot of motion, not much traction, and a team that feels busy without feeling effective.

Aiven for OpenSearch Leaps to Version 3!

We are thrilled to announce that the OpenSearch major version 3 (3.3.2) is available on Aiven for OpenSearch, only a few weeks after its upstream release! The major version 3 of OpenSearch is a foundational upgrade, built on a new, high-performance core, marking a significant step forward in performance and usability. This means that as an Aiven customer, you get immediate access to a faster, more efficient search experience, all fully managed.

How to Use Pandas Time Index: A Tutorial with Examples

Time series data is everywhere in modern analytics, from stock prices and sensor readings to web traffic and financial transactions. When working with temporal data in Python, pandas provides powerful tools for handling time-based indexing through its DatetimeIndex functionality. This tutorial will guide you through creating, manipulating, and extracting insights from pandas time indexes with practical examples.

Exponential Smoothing: A Guide to Getting Started

Exponential smoothing is a time series forecasting method that uses an exponentially weighted average of past observations to predict future values. In other words, it assigns greater weight to recent observations than to older ones, allowing the forecast to adapt to changing data trends. In this post, we’ll look at the basics of exponential smoothing, including how it works, its types, and how to implement it in Python.

Get Kafka-Nated S2E2: Viktor Kessler on Apache Iceberg, OSS, and Community

Viktor Kessler is both co-founder of Vakamo, a company specialising in governance for Iceberg, and a major contributor to Lakekeeper, an open-source Iceberg REST catalog. His contributions to the Iceberg aren’t limited to pull requests: Viktor is also the organiser of the Apache Iceberg Meetup Europe and hosted some fantastic events in 2025 that brought the Iceberg community together all over Europe from Dublin to Vilnius.
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3 Ways to Break Down SaaS Data Silos

Access to data is critical for SaaS companies to understand the state of their applications, and how that state affects customer experience. However, most companies use multiple applications, all of which generate their own independent data. This leads to data silos, or a group of raw data that is accessible to one stakeholder or department and not another. Data silos also prevent information from different sources from being blended together to gain a more accurate picture of what's happening in your application.