Operations | Monitoring | ITSM | DevOps | Cloud

Setting Up an MQTT Data Pipeline with InfluxDB

In this blog, we’re going to take a look at how you can set up a fully-functioning, robust data pipeline to centralize your data into an InfluxDB instance by collecting and sending messages with the MQTT protocol. We’ll start with a brief overview of the technologies and protocols used in the pipeline, then dive into how you can connect, configure, and test them to ensure your data pipeline is fully functional. It’s going to be a long post, so let’s jump right in.

From Edge to Cloud: How Litmus Edge and InfluxDB Unlock Industrial Intelligence at Hannover Messe

If you’ve spent time in industrial environments, you know the problem isn’t a lack of data. It’s collecting it reliably, contextualizing it, and storing it at scale. Most stacks weren’t built to fight all three battles.

What's New in InfluxDB 3 Explorer 1.7: Table Management, Data Import, Transforms, and More

InfluxDB 3 Explorer 1.7 is a step forward for anyone who wants to manage their time series data without constantly switching between the UI and a terminal. This release adds table-level schema management, the ability to import data from other InfluxDB instances, and a new Transform Data section to reshape your data, all within the Explorer UI.

Scaling Technical Research: Integrating Proxies into Your Data Operations (DataOps) Pipeline

In the world of Big Data, success depends on more than just algorithms. The quality of the incoming data stream is crucial. When a company scales its technical research, it inevitably encounters barriers such as CAPTCHAs, geoblocks, and anti-fraud systems.

Introducing Aiven for DataHub: Managed context for humans and AI

Discover Aiven for DataHub: a fully managed, open-source data catalog that gives your teams and AI agents the context they need to find and understand data. According to an MIT study, 95% of AI projects fail to deliver value. I've been thinking about why that number is so stubbornly high, and I've come to believe the answer isn't about models,compute or even data quality in the traditional sense -It's about context.

Telegraf Controller and Agent Observability

Telegraf Controller makes it easier to manage and monitor your Telegraf agents in one place. In this overview, Product Manager Scott Anderson explains how it works. Agents pull their configurations directly from the controller and report their status back using a heartbeat plugin. This gives you a clear, real-time view of your deployment health. You can quickly see how everything is running at a high level or drill into individual agents for more detail. It's a simple way to stay on top of large Telegraf setups.

Get Kafka-Nated S2E4: Debugging the Kafka-Iceberg Connector

In this episode of Get Kafka-Nated, host Hugh is joined by Anatolii Popov, Senior Software Engineer at Aiven, to dive into one of the most talked-about integrations in the modern data stack: Kafka to Apache Iceberg. Anatolii was accepted to speak at Iceberg Summit 2026 on debugging the Kafka Connect Iceberg Connector, and in this session we’ll cover the talk he would have given, including common failure modes, debugging locally, catalog complexities, and where the integration is heading next.

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.