Operations | Monitoring | ITSM | DevOps | Cloud

Telegraf is incredibly good at what it does: collecting metrics, logs, and events from just about anywhere and sending them wherever you need. But once Telegraf becomes part of your production telemetry pipeline, spread across environments, teams, regions, and edge locations, the hard part isn’t installing agents; it’s operating them. Configs drift. “Temporary” overrides linger. Rolling out changes across hundreds (or thousands) of agents becomes a careful, manual process.

Discover how Aiven makes the 4 factors of production-ready PostgreSQL easy A database isn't production-ready just because your application can query it. To be truly ready for production, your PostgreSQL setup must be able to survive node failures, block unauthorized network access, handle sudden connection spikes without crashing, and tell you exactly why a query is running slow. Let’s explore these four factors and how Aiven puts being production-ready on easy mode.

As we wrap up RSAC, one theme that repeatedly emerged in conversations with security leaders is that the modern enterprise has reached a critical inflection point where the velocity of machine-generated telemetry has outpaced the capacity of traditional architectures. This trend requires an approach that moves beyond the storage of information to the activation of it in ways that don’t simply exacerbate alert fatigue.

Snowflake is a cloud data platform designed for large-scale analytics, data warehousing, and data processing. It allows teams across an organization to run multiple data workloads on a single platform without managing infrastructure. Snowflake’s architecture is also unique. Compute and storage are completely independent and highly elastic. However, Snowflake’s per-second pricing and elastic compute model make costs highly sensitive to usage.

Kubernetes has revolutionized modern computing infrastructure, offering organizations near-infinite scalability, unparalleled agility in deploying new applications, and enhanced security. However, as enterprise cloud adoption continues to accelerate, that agility often comes with an unintended and costly side effect: skyrocketing cloud bills.

Battery energy storage systems (BESS) play a critical role in modern energy infrastructure. Utilities rely on these systems to balance renewable generation, stabilize grid operations, and respond to changing electricity demand. As deployments scale in size and complexity, operators require continuous insight into battery health, system performance, and grid interaction. Operators rely on telemetry generated across several operational platforms.

On December 8th, 2025, IBM announced a definitive agreement to acquire Confluent in a deal valued at $11 billion. It is a massive moment for our industry. The acquisition was finalized on March 17th, 2026. For some, this looks like a safe bet; a way for enterprise giants to finally "get" real-time data. But for those of us who have spent our careers in open source software and data infrastructure, it feels different. There’s a sense of wondering “when is the other shoe going to drop?”.