Operations | Monitoring | ITSM | DevOps | Cloud

Get Kafka-Nated Episode 2: Josep Prat - Life of a Kafka contributor

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.

How Smart Companies Use Analytics to Keep Workers Happy

In today's high-pressure work environments, mental health is more than a personal concern. It's a business priority. As stress-related challenges surge, companies are turning to data-driven wellness strategies to provide real, measurable support. This article explores how smart technology and holistic interventions are reshaping employee well-being and driving better outcomes for both individuals and organizations.

Why don't Kafka and Iceberg get along?

Kafka and Iceberg is a costly marriage of inconvenience. If you write code for a living you’ve probably heard of Apache Iceberg - but you might not realise the detour your Kafka events must take to get there. Typically a Kafka message written to an Iceberg table must take a journey via a connector, rack up transfer fees, and idle in a sidecar before it appears as an Iceberg table—hardly the friction‑free flow open table formats promise.

How Organisations Can Provide Uniform Learning Across Diverse Teams

It is a significant challenge for companies globally in today's rapidly evolving business environment to have consistent learning standards across diverse teams. Strategic planning and effective technology solutions are required to ensure that each employee is given the same quality of training and development as distant working becomes increasingly prevalent and teams are split between multiple locations. The key is to implement systematic approaches that standardise learning without ignoring team dynamics and individual learning styles.

Ingest, Explore, Validate: A Quickstart with InfluxDB 3 Enterprise and Explorer UI

Great observability doesn’t just collect metrics—it tells you exactly what’s broken, why it’s broken, and what to do about it. InfluxDB 3 Enterprise delivers this through real-time ingestion, fast queries, and scalable storage. InfluxDB 3 Explorer provides the intuitive interface your team needs for database management, data ingestion, querying, and visualization without the usual complexity.

Snowflake data visualization: all the latest features to monitor metrics, enhance security, and more

In 2020, we introduced the Snowflake Enterprise data source for Grafana, allowing users to seamlessly pull data from the Snowflake cloud-based data storage and analytics service into Grafana dashboards. Available for Grafana Enterprise and Grafana Cloud users, it’s a powerful way to not only query and visualize Snowlake data, but to do so alongside other data sources, so you can discover correlations and other meaningful insights within minutes.

Friends Don't Let Friends Deploy Kafka the Old Way

In the cloud, Kafka’s promise of “never lose a byte” quietly morphs into “always pay for two.” Every time the leader syncs followers across zones, you get hit with premium egress charges that can dwarf compute costs. Diskless Kafka turns that upside-down: brokers replicate data straight into S3, so the pricey cross-zone hops vanish. Yes, object storage is slower than a local SSD, but the swap buys you on-demand elasticity and a bill that finally makes sense.

Vertical Pod Autoscaling: How It Compares to Pepperdata Capacity Optimizer

Vertical Pod Autoscaling (VPA) is a component within Kubernetes designed to automatically resize the CPU and memory requests of pods based on their observed, historical usage patterns. While Pepperdata Capacity Optimizer and VPA both change the resource requests of pods in response to changing application resource requirements, there are several key differences.

Smarter Workflows, Faster Insights: How InfluxDB 3 Unlocks the Power of Python at the Source

Businesses across industries rely on time-stamped data to track system health, monitor performance, and improve operations. Whether it’s sensors on a factory floor or usage logs from a SaaS platform, time series data reveals how things change. As businesses digitize operations and add connected devices, sensors produce growing streams of time-based data. This opens the door to faster analytics and smarter automation. But legacy approaches can’t keep up.