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By Charles Mahler
Summary The five most recent plugins from the InfluxDB team are live: Sagemaker, value counter, Chronos forecasting, simple data replicator, and a stock portfolio tracker. Table of Contents The InfluxDB team has released five new Processing Engine plugins. They range from making it easy to call a hosted ML model to pulling in stock market data in real-time. Every one of them can be activated with a few terminal commands.
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By Cole Bowden
Summary InfluxDB plays a critical role in LeoLabs’ infrastructure, enabling a lean team to operate with confidence that potential issues will be detected and surfaced in real-time. By offloading the complexity of managing time series data at scale, engineers are free to focus on higher-impact work (such as optimizing their radar network) rather than maintaining and troubleshooting database systems.
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By Ryan Nelson
Summary: Q2 was about giving teams more leverage with less overhead. Between April and June 2026, releases across Telegraf, InfluxDB 3, and InfluxDB 3 Explorer focused on reducing manual work and putting more control directly in their hands as they scale. Telegraf Enterprise reached general availability, giving teams a centralized way to manage, monitor, and support tens of thousands of Telegraf agents.
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By Daniel Campbell
InfluxDB 3 Explorer 1.9 makes it easier to work with your existing queries. Whether you’re migrating Flux queries to SQL or you’ve been writing in InfluxQL for years, this release helps bring your existing queries forward instead of starting from scratch. For teams moving to v3 from earlier versions of InfluxDB, query migration is often one of the last major hurdles.
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By Scott Anderson
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.
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By Allyson Boate
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.
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By Peter Barnett
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.
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By Cole Bowden
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.
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By Allyson Boate
Satellite mission operators depend on telemetry to understand spacecraft health, ground system performance, and mission status in real-time. Operation signals help teams identify risks, investigate anomalies, and keep operations moving. When a spacecraft enters safe mode or signal strength drops during a contact window, teams need trusted telemetry immediately. But mission data moves quickly across operational systems, and every handoff makes it harder to control.
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By Charles Mahler
Predictive maintenance is one of the most compelling use cases for time series data. Instead of waiting for equipment to fail or servicing it on a fixed calendar regardless of condition, you watch the live sensor data and act when it indicates that a failure is coming. That “watch the data and act” loop is exactly what the InfluxDB 3 Processing Engine was built for.
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By InfluxData
Telegraf Controller is a centralized application designed for managing Telegraf deployments at scale by defining configurations in one location and consistently applying them across a fleet of agents. In this video, Product Manager Scott Anderson walks you through the steps of setting up and managing agents using the controller, covering.
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By InfluxData
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.
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By InfluxData
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.
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By InfluxData
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.
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By InfluxData
InfluxDB 3 on Amazon Timestream for InfluxDB now scales to 15-node clusters, unlocking higher ingestion, greater query concurrency, and real-time performance at scale. In this video, PM Pete Barnett breaks down what this means for high-resolution, high-velocity workloads, and how you can scale from Core to Enterprise with zero downtime or data migration.
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By InfluxData
In this video, Senior Developer Advocate Cole Bowden walks you through the key similarities and differences that exist in InfluxDB 3 Core and InfluxDB 3 Enterprise. As an open source offering, Core thrives at data collection on the edge and providing real-time insights into fresh data, while Enterprise includes support, compaction for performant historical analysis over wide windows, better scaling and security for enterprise-scale operations.
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By InfluxData
In this video, we walk you through setting up and getting started with the InfluxDB Explorer UI - a convenient, easy way to query and explore your data. This walks you through installation and connecting with the Explorer UI, as well as loading data, running queries, and setting up a basic dashboard.
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By InfluxData
In this video, we go over getting started with InfluxDB, including downloading, installing, writing, and reading data with a couple different clients.
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By InfluxData
Explorer is the new UI for InfluxDB 3 Core (open source) and Enterprise. It brings everything into one place: ingesting data, querying, visualizing, and managing your database. It’s designed to remove friction: fewer tools, less context switching, faster feedback.
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By InfluxData
InfluxDB 3 Enterprise uses a cloud-native, diskless architecture to eliminate traditional storage limits. Its stateless design simplifies operations, delivers instant failover with zero data loss, and lets you scale compute and storage independently to petabyte levels without re-architecting your system.
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By InfluxData
Everything related to how IT services are delivered and consumed is undergoing tremendous change. Monolithic architectures are being replaced by microservices-driven apps and the cloud- based infrastructure is being tied together and instrumented by DevOps processes.
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By InfluxData
Companies are committed to delivering on higher levels of customer satisfaction for their online services. Unfortunately, many organizations trying to support these initiatives take an interrupt-driven approach where they scramble to fix things when they break. However, to manage to these high levels of SLAs, you should take a structured approach in order to reduce the amount of unscheduled downtime by proactively monitoring and managing your systems.
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By InfluxData
This paper reviews how an IoT Data platform fits in with any IoT Architecture to manage the data requirements of every IoT implementation. It is based on the learnings from existing IoT practitioners that have adopted an IoT Data platform using InfluxData.
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By InfluxData
In this technical paper, we'll compare the performance and features of InfluxDB 1.4.2 vs. Elasticsearch 5.6.3 for common time series workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. This data should prove valuable to developers and architects evaluating the suitability of these technologies for their use case.
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By InfluxData
In this technical paper, we'll explore the aspects of scaling clusters of the InfluxEnterprise product, primarily through the lens of write performance of InfluxDB Clusters. This data should prove valuable to developers and architects evaluating the suitability of InfluxEnterprise for their use case, in addition to helping establish some rough guidelines for what those users should expect in terms of write performance in a real-world environment.
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By InfluxData
In this technical paper, InfluxData CTO - Paul Dix will walk you through what time series is (and isn't), what makes it different than stream processing, full-text search and other solutions. He'll also work through why time series database engines are the superior choice for the monitoring, metrics, real-time analytics and Internet of Things/sensor data use cases.
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By InfluxData
As the number of metrics collected and acted on increases, developers need a solution that is fast and efficient to keep up with the demands of their solutions. We'll compare the performance and features of InfluxDB and OpenTSDB for common time series db workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. This data should prove valuable to developers and architects evaluating the suitability of these technologies for their use case.
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By InfluxData
In this this technical paper, we'll compare the performance and features of InfluxDB vs MongoDB for common time series workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. This data should prove valuable to developers and architects evaluating the suitability of these technologies for their use case.
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By InfluxData
In this technical paper, we'll compare the performance and features of InfluxDB and Cassandra for common time series workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. This data should prove valuable to developers and architects evaluating the suitability of these technologies for their use case.
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By InfluxData
To help provide a better understanding of how to get the best performance out of InfluxDB, this technical paper we will delve into the top five performance tuning tips for improving both write and query performance with InfluxDB. Topics covered include cardinality, batching, down-sampling, schema design and time-stamp precision.
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InfluxData, the creators of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly.
InfluxData provides the leading time series platform to instrument, observe, learn and automate any system, application and business process across a variety of use cases:
- DevOps Observability Observing and automating key customer-facing systems, infrastructure, applications and business processes.
- IoT Analytics Analyzing and automating sensors and devices in real-time delivering insight and value while it still matters.
- Real-Time Analytics Leveraging the investment in instrumentation and observability—detecting patterns and creating new business opportunities.
Customers turn to InfluxData to build DevOps Monitoring (Infrastructure Monitoring, Application Monitoring, Cloud Monitoring), IoT Monitoring, and Real-Time Analytics applications faster, easier, and to scale.