Tracking Service Level Objectives (SLOs) helps developers build more reliable software. At least, that’s the hope of Nobl9. The company’s self-titled SLO platform provides real-time data to software developers, DevOps practitioners, and reliability engineers so that they have the information they need to build reliable features quickly.

We are excited to share that Anodot’s Cloud Cost Management solution has been named a Challenger and Fast Mover in the 2022 GigaOm Radar for Evaluating Financial Operations (FinOps) Tools report.

The MQTT Consumer Plugin is one of our most widely used input plugins for Telegraf. If you need a little bit of background, then I highly recommend checking out the following: I plan to release an MQTT best practices blog soon, but we thought this plugin partnership was too good not to talk about now.

Aiven for Apache Kafka® Learning Apache Kafka doesn’t have to be difficult. Read on to get a friendly explanation of the Apache Kafka fundamentals.

Aiven for OpenSearch was chosen by the UK Government to run search for its expansive GOV.UK Platform as a Service.

We love to write and ship code to help developers bring their ideas and projects to life. That’s why we’re constantly working on improving our product in sync with developer needs to ensure their happiness and accelerate time to awesome. This is the second in a blog series covering our product’s latest features — features that we think will save you time and effort when building with time series and InfluxDB.

Industry-leading time series platform recognized for ease of setup and user satisfaction SAN FRANCISCO, June 30, 2022 – InfluxData, creator of the leading time series platform InfluxDB, today announced it has been named a leader in the G2 Grid for Time Series Databases, as well a leader within the inaugural Momentum Grid® Report for Time Series Databases in the Summer 2022 ratings from G2, the world’s leading business solution review platform.

The utilization of spot instances can be one of the fastest and easiest ways to drastically reduce the compute costs of your Spark infrastructure when you run in the cloud. In this article, we will discuss two techniques specific to Spark on Kubernetes, Enhanced Spot Instance Selection and Executor Decommissioning, that can both remove some pitfalls of spot instances and increase the reliability of your compute – resulting in faster, cheaper applications.