Operations | Monitoring | ITSM | DevOps | Cloud

Introducing Telegraf Enterprise

Telegraf Enterprise is built to help teams manage Telegraf at scale. In this overview, Product Manager Scott Anderson introduces what’s included and how it works. The package combines Telegraf Controller, a web app for centralized configuration and agent observability, with dedicated enterprise support from the InfluxData team and Telegraf maintainers. If you’re running large Telegraf deployments and want more visibility and support, this gives you a clear look at what Telegraf Enterprise brings to the table.

Top 5 Must-Have Integrations for Your Zendesk Suite in 2026

Modern customer support demands more than a basic ticketing system - it requires strategic zendesk integrations that connect your support team with AI automation, real-time analytics, quality control, multilingual content, and unified customer data. In 2026, businesses that fail to build this integrated ecosystem will struggle to meet rising customer expectations for speed, personalization, and seamless self service across channels.

How a single space broke OpenSearch backups - and how Aiven fixed it for our customers

One space character, one broken backup. See how Aiven’s engineering team traced an OpenSearch k-NN bug to its source and implemented a lasting fix. Backing up your OpenSearch indexes via the Snapshot process is vital for disaster recovery, allowing you to restore the indexed data, cluster configuration and state if something goes wrong.

Introducing Aiven Apps: Applications next to your data, where they belong

Unify your code and data. Aiven Apps lets teams deliver real-time applications faster, without building new platforms. No lock-in. No custom pipelines. No egress surprises. We are excited to announce the Limited Availability (LA) launch of Aiven Apps! For over a decade, Aiven has simplified how you store and stream data with an open-source foundation. Over that same time, data volumes have exploded, and so has the friction caused by the distance between where your data is stored and where your code runs.

Telegraf Overview - InfluxData's Metric Collection Agent

Telegraf is InfluxData’s open source agent for collecting metrics, and it’s used everywhere. In this quick overview, Product Manager Scott Anderson shares what makes it stand out, from more than 5 billion downloads to a huge plugin ecosystem with 400+ integrations. It’s also built by a strong community, with over 1,300 contributors and thousands of GitHub stars. That momentum is a big part of why Telegraf keeps growing.

New Plugins, Faster Writes, and Easier Configuration: What's New with the InfluxDB 3 Processing Engine

The Processing Engine is one of the most powerful features in InfluxDB 3. It lets you run Python code at the database—transforming data on ingest, running scheduled jobs, or serving HTTP requests—without spinning up external services or building middleware. You define the logic, attach it to a trigger, and the database handles the rest. Since launching the Processing Engine, we’ve been building out both the engine itself and the ecosystem of plugins that run on it.

From Data to Dollars: How AI-Driven Hyper-Personalization Is Reshaping Retail Revenue

Every retailer knows that personalization drives revenue. The evidence has been consistent for years: personalized experiences convert better, retain customers longer, and generate higher average order values. What has changed is the scale and sophistication at which personalization is now possible - and the gap it creates between brands that embrace AI-driven approaches and those still relying on manual rules and static segments.

What's New in InfluxDB 3.9: More Operational Control and a New Performance Preview

We’ve spent the last few months listening to how teams are running InfluxDB 3 in the wild. The feedback was clear: as you scale, you need less “guesswork” and more control. Today’s release of InfluxDB 3.9 is our answer to that. As more teams move InfluxDB 3 into production, our focus has shifted toward the operational experience: how you manage the database at scale, how you ensure it remains secure, and how you provide a seamless experience for users.

Customer Service KPIs: What to Track & Why They Matter

A customer support team can look busy all day and still miss the signals that matter most. Calls get answered. Tickets move. Dashboards fill with numbers. Yet none of that tells you, on its own, if customers leave with their problem solved, if agents have the right tools, or if service quality improves month after month. That is why smart teams put clear measurement in place early. Good customer service KPIs turn a noisy operation into something leaders can read, question, and improve with confidence.