Operations | Monitoring | ITSM | DevOps | Cloud

InfluxData Kicks Off InfluxDays North America, Releasing New Features to Expedite Application Building

InfluxDB enhancements enable developers to get started on building real-time applications quickly and to scale SAN FRANCISCO, October 26, 2021 – InfluxData, creator of the leading time series platform InfluxDB, today announced new capabilities for developers to expedite application building as part of InfluxDays North America 2021 Virtual Experience, its annual event for customers, partners and developer community.

InfluxDB Cloud and Telegraf for the Home Lab

Home labs are popular among technology enthusiasts. Often they are unmonitored and even the smallest home lab can benefit from monitoring. This post will show how getting started with an InfluxDB Cloud account and Telegraf can make this super easy! InfluxDB is an open source time series database. As such, InfluxDB is well-suited for operations monitoring, application metrics, IoT sensor data, and real-time analytics.

Getting Started with Telegraf

Telegraf is a plugin-driven agent for collecting, processing, aggregating and writing metrics and events. Telegraf ships as a single binary with no external dependencies that runs with a minimal footprint and a plugin system that supports many popular services. Telegraf is used to collect metrics from the system it runs on, applications, remote IoT devices and many other inputs. Telegraf can also capture data from event-driven operations.

Making developers' lives better with Aiven

What is the story behind Aiven? Oskari Saarenmaa (Co-Founder & CEO) and Soumya Bijjal (Director of Product Management), talk about the journey of Aiven and the bright future that lies ahead in the open source industry. You will also hear how Aiven takes the pain away from running cloud data infrastructure and enables customers to drive business results from open source. With Aiven, developers can focus on what they love best: creating applications. No more maintenance headaches!

When Big Data Goes Wrong: 3 Common Issues and Possible Solutions

Our shared future has always been profoundly enigmatic. Hoary seers from days of yore would never have predicted everyday life as it is now. It would have been impossible to guess most of what has already happened in the 21st century. Peering into crystal balls would have proved equally futile. Even an attempt to make well-educated guesses about possible issues with big data would likely have been way off the mark.