With Icinga DB Web you can filter the list views in a very elegant and lovely manner. If you haven’t tried this search bar yet, it’s time to begin now. Unlike in the monitoring module, where you have to tediously filter the views based on clicking through all the possible selections available to you, in Icinga DB Web it’s a very simple thing where you can do it instantly.
Do you sometimes feel that your company lacks organization and prevents you from working efficiently and securely? Here is the solution for a better inventory management! Also known as Lean manufacturing, the 5S methodology is of Japanese origin and was created for the production of Toyota factories. It focuses on the use of several tools to maximize efficiency by creating an ergonomic, clean and organized work environment.
To help our customers reduce their overall observability costs, we’re excited to announce the Data Optimization Hub as part of our Open 360™ platform. The new hub inventories all of your incoming telemetry data, while providing simple filters to remove any data you don’t need. Gone are the days of paying for observability data you never use.
In the last two decades, the software industry has shifted away from on-premises applications to software-as-a-service (SaaS). SaaS now accounts for 70% of the business software market according to BetterCloud, and is worth more than $170bn annually, according to Gartner.
Join Mark Boost, Dinesh Majrekar, and Saiyam Pathak to discuss the current state of the cloud industry and why costs are so high, how to take steps to reduce your spend, and looking at how Civo can help.
We believe that querying data in Apache Parquet files directly can achieve similar or better storage efficiency and query performance than most specialized file formats. While it requires significant engineering effort, the benefits of Parquet’s open format and broad ecosystem support make it the obvious choice for a wide class of data systems.
Companies need to consider both how fast they can put edge applications into action and update them, and how quickly they can process incoming data. Industrial processes are becoming increasingly automated as sensors on machines collect a growing amount of data. Much of this data is time-stamped and can help companies improve processes. This large volume of sensor data can become unwieldy if companies don’t manage it properly.
Want to try out Mattermost, but don’t have sufficient infrastructure or the time? Here is a guide on how to deploy Mattermost using minikube in five minutes.
Back in my mid to late 20s, my most prized possession was my Yamaha R1 motorcycle. Living and working in the city of Milwaukee meant I didn’t need to worry about finding parking, gas was cheap, and it was fast, one of the fastest sport bikes on the market at the time. But with that speed and power comes great responsibility, and I took that responsibility seriously. If I was going to go out and meet friends, I promised myself, not one sip of alcohol.
