At the end of 2019, we released a new Suricata input plugin with Telegraf 1.13.0. In this blog, I’ll talk about the the powerful combination of these two open source products — the importance of Suricata and why you should use Telegraf to monitor its performance. I wanted to start off first thanking Sascha Steinbiss for submitting this plugin. Here at InfluxData, we can’t tell you how much we value our open source community.
Today we’re excited to announce the general availability of InfluxDB Cloud for Google Cloud. With this new service, GCP users can now use our leading time series data platform on Google infrastructure. This lets you address a wide range of use cases: server monitoring, IoT sensor data tracking, real-time customer analytics, application performance metrics, network monitoring, security threat detection, and financial market analysis.
SAN FRANCISCO — February 4, 2020 — InfluxData, creator of the time series database InfluxDB, today announced the availability of InfluxDB Cloud on Google Cloud. The strategic collaboration, originally announced in April 2019, is part of a major Google Cloud initiative to make the most powerful open source technologies more accessible to its customer base.
Fast-growing products are not overnight successes contrary to what you often hear. At InfluxData, we’re on a mission to build a user base from scratch with our new flagship product InfluxDB Cloud. Every new user has to go through a signup flow to create their account. So it must go as smoothly as possible. User research and design experimentation are the way we’ll reach this goal, and the main ingredient in this recipe is you: the community member.
I recently spoke with Matthew VanTassel, CTO at Rise to learn how he’s using InfluxDB at home to make his house smarter, to improve his online gaming and to understand his garden better. Understanding the versatility of InfluxDB at home helped him realize the full potential of InfluxDB in his job.
I think that a lot of people immediately associate the word “time series” with “forecasting”. After all, who doesn’t want to be able to predict the future? While we can’t do that quite yet, we can produce forecasts with confidence intervals. In this tutorial, we’ll learn how to make a univariate time series prediction with Prophet and InfluxDB.
Recently we released a new SNMP Trap input plugin in Telegraf 1.13. I’d like to tell you more about that plugin and how you can use it.
“If you can’t measure something to get results, you can’t possibly get better at it. Worse yet, you won’t know what you should be focusing on,” says Dennis Brazil, Sr. Engineering Manager, SRE Monitoring at PayPal. Brazil and his team needed a scalable end-to-end host monitoring solution to keep pace with the company’s infrastructure modernization to a container-based architecture.
2019 was a great year for InfluxData. But before I get into the details, I need to emphasize that none of this was possible without the incredible open source community around InfluxDB, the customers that rely on our products, and the investors that believe in our team.
My holiday challenge to explain serverless InfluxDB to my family produced a useful Flux script anyone can put to work today. Before we dive into the code, let me outline the high-level approach to gathering and visualizing how long it takes a website to respond to an HTTP request.
