Operations | Monitoring | ITSM | DevOps | Cloud

How Financial Planning and Analysis Supports Smarter Decisions

Every major business choice carries a timing effect, a cash effect, and a likely tradeoff. Leadership teams need more than instinct when demand softens, costs rise, or supply terms tighten. Financial planning and analysis give those discussions shape. It links operating results with current conditions and expected outcomes. That broader view helps companies test assumptions, judge alternatives, and commit resources with greater care before pressure builds into avoidable strain.

Telegraf Enterprise Now Generally Available: Manage Telegraf Fleets at Scale

Telegraf Enterprise is now generally available. It combines Telegraf Controller, a centralized management console for Telegraf, with official support from InfluxData. Open source Telegraf remains unchanged. Telegraf Controller is free to start with built-in limits, while a Telegraf Enterprise license unlocks higher-scale limits, audit logging, LDAP/OIDC integration, and commercial support. Telegraf has become the standard for collecting telemetry across cloud, edge, and physical infrastructure.

Optimizing Data Pipelines for High-Volume Loan Tech

High-volume lending systems require dependable backend infrastructure to manage continuous streams of financial data. When application numbers climb, standard databases often slow down and cause operational friction. Upgrading these data pathways helps firms maintain fast processing speeds during market surges. Efficient pipeline design removes technical barriers that restrict daily loan volumes. Companies can process files faster when data flows smoothly through automated validation checks. Modern software frameworks keep processing networks stable under heavy computational stress.

Get Kafka-Nated S2E6: Omnia Ibrahim - KIP-1279, Cross-Cluster Replication

Nobody has much nice to say about MirrorMaker. Cross-cluster replication has been one of Kafka's sore spots for years, and KIP-1279 is the community's attempt to finally fix it. This episode I'm joined by Omnia Ibrahim, Software Engineer at Apple and Apache Kafka Committer, to talk about what's actually broken in multi-cluster Kafka today, what KIP-1279 changes, and what teams running active-active or active-passive setups should do in the meantime.

Why Relational Databases Fail Satellite Telemetry

Satellite operations depend on telemetry as the primary interface to systems that teams cannot directly inspect. Once a spacecraft reaches orbit, signals such as battery levels, temperature, signal strength, and fault codes become the foundation for understanding system health and maintaining control. Telemetry streams continuously, so the underlying data system becomes a critical control point that needs to handle a constant, heavy flow of data.

What's New in InfluxDB 3.10: Performance Beta Expanded with New Enterprise Features

In our last release, we introduced a beta of performance updates designed for heavier, more complex time series workloads. InfluxDB 3.10 expands that beta to include enterprise features that give teams more control as they scale and manage larger workloads in InfluxDB 3. This release adds end-to-end backup and restore, row-level deletes, bulk import from Parquet, user management, and an RBAC preview to the previous performance beta.

Prototyping For Free, Scaling For Cheap with Aiven Dev Tier

I’ve been active in technical communities like PyData and codebar across the UK for nearly a decade now and owe much of my career to meeting and learning from cool people at events. Now, as someone with a professional interest in community organising, I spend a lot of my time looking for events to sponsor or speak at. But whilst finding technical events and communities can be tricky, I think I’ve found a solution using Kafka that might be useful for you too.

Mirror, Cut Over, Move On: A Live Kafka Migration from Confluent to Aiven

Kafka migrations get talked about like they're impossible. They aren't. They're a sequence of decisions, preparations, and good compromises - plus a working playbook. In this session, Dirk runs a real Confluent Cloud-to-Aiven migration live. Top to bottom: target Kafka cluster deployment, MirrorMaker 2 setup, replication flow and offset handling, and a staged cutover that keeps producer and consumer downtime to almost zero.

Generate Synthetic Time Series Data in InfluxDB 3

Getting InfluxDB 3 up and running is a pretty lightweight process with the installation script. Getting time series data into it is the next step, and for exploration, basic testing, or scenarios where you don’t have a stream of time series data ready to write, that can be a point of friction. That hurdle is particularly high when you want to test the rest of the system around the data you’d be writing.