Operations | Monitoring | ITSM | DevOps | Cloud

A modern data stack for startups

Nowadays, easy access to data is table-stakes for high-performing companies. Easy access doesn't come for free, though: it requires investment and a careful selection of tools. For young companies like us, the question is how much? And when do you make that investment? Having grown to ten people, several without engineering backgrounds but with strong data needs, we decided 2022 was going to be that time.

Algist Bruggeman Uses Insights from InfluxDB to Optimize Industrial Processes and Production

Founded in 1884 and located in Ghent, Belgium, Algist Bruggeman supplies fresh, liquid, and dried yeast to industrial, semi-artisanal, and artisanal bakeries, as well as to the beer, wine, and pharma industries. Algist Bruggeman is part of the Lesaffre Group, a key global player in fermentation for more than a century. Even with more than a century of industrial production behind it, Algist Bruggeman continues to evolve its manufacturing processes.

AI-Powered Monitoring Could Have Saved Millions for Global Bank

As most people were preparing to celebrate the new year, the UK’s Santander Bank was dealing with a crisis. On Christmas day, roughly 75,000 people who received payments from companies with accounts at Santander Bank received a duplicate payment transaction. The total damage amounted to £130m, and recovery in these situations is a painful process for both the bank and its customers.

Telegraf Best Practices: Config Recommendations and Performance Monitoring

Telegraf has reached the ripe old age of V1.21.2. Thanks to community feedback and contribution, there have been many features added over the years. Lately, I have seen these questions pop up. If any of these questions plague your mind, have no fear — this blog is here to help! Here are my golden rules for maintaining best practices when building your Telegraf solution.

What Is DataOps and How Does it Impact Data Management?

Government IT administrators manage several different types of operations. There’s DevOps, which led to the creation of DevSecOps. Now, data-driven agencies are being introduced to a new operational concept: DataOps, the bridge connecting IT operations and data sciences and accelerating the use of data analytics.

Operations Analytics - The Next Big Thing

Cloud Data Warehouses (CDW) were designed to support business intelligence use cases focused on historical data analysis, but less so on “what is happening now?” class of queries. We think operational analytics are the next big focus and we want to discuss the space and how enterprises will connect their operational data to these new tools to get results right now instead of next week.