Integrating time series data with the power of vector databases opens up a new frontier for analytics and machine learning applications. Time series data, characterized by its sequential order and timestamps, is pivotal in monitoring and forecasting across various domains, from financial markets to IoT devices. InfluxDB, a leading time series database, excels in handling such data with high efficiency and scalability.

In the rapidly changing world of technology, effective monitoring is critical for maintaining your infrastructure and ensuring it performs effectively. While traditional monitoring methods are effective, they can fall short as systems scale and become more dynamic and complex. This article aims to bridge the gap by introducing software engineers to the power of machine learning (ML) in infrastructure monitoring, outlining not just the ‘how’ but the ‘why’ of its application.

This post explains how databases optimize queries, which can result in queries running hundreds of times faster. While we focus on one specific query type that is important to InfluxDB 3.0, the optimization process we describe is the same for any database.

Today, AWS announced Amazon Timestream for InfluxDB, a new managed offering for AWS customers to run single-instance open source InfluxDB natively within the AWS console. This partnership represents a significant multi-year commitment by AWS to combine its global reach and accessibility with our industry-leading time series database, InfluxDB. AWS adding InfluxDB as a preferred time series database reflects the demand from AWS customers for InfluxDB and evidence of the time series market acceleration.

SAN FRANCISCO – March 14, 2024 – InfluxData, creator of the leading time series platform InfluxDB, today announced a collaboration with Amazon Web Services (AWS) to deliver Amazon Timestream for InfluxDB, a new managed offering for AWS customers to run InfluxDB open source natively within the AWS Management Console.

It’s easy to pitch technology buying decisions as black or white, where one camp is the promised land and the other is a dystopian wasteland where companies and profits go to die. But that doesn’t match reality. Instead, organizations need to balance technical trade-offs with their needs. So, while it’s easy to stand atop the “rip and replace” mountain and shout the virtues of your new technology, that’s not something that most organizations are willing to do.

Users have higher expectations than ever when it comes to performance and reliability in the apps they use every day. A critical part of meeting these expectations is having a robust monitoring system in place. This article focuses on monitoring applications using a microservice architecture—it will go over key concepts, common challenges, and useful tools every engineer should know.

In v1.30.0, Telegraf will remove a few long-standing deprecated plugins. These plugins have been deprecated for a number of years, and plugins with better support and configuration options now replace them. This version of Telegraf also removes a number of configuration options. The full list of deprecated plugins includes: Starting from v1.30.0 Telegraf will show an error message and stop running if any of the plugins or options are present in your configuration.