Operations | Monitoring | ITSM | DevOps | Cloud

Peering has come a long way since the formation of what was arguably the first settlement-free exchange of internet traffic, the Commercial Internet eXchange in Reston, Virginia, in 1991. Today there are over 600 IXs around the globe helping to peer thousands of IP networks. The internet and the technology that underpins it is a very different landscape in 2022 than it was in 1991.

Netdata’s Cassandra collector documentation explains how to set it up to collect metrics automatically. Once you have followed the instructions in the docs and have installed and configured Netdata on the Cassandra cluster you are ready to start monitoring and troubleshooting.

Due to the increasing influence of businesses on APIs, the volume of APIs on which they rely, and the administrative challenges that APIs pose, API administration has gained popularity. For the most part, other apps don’t have the exact requirements or construction and management processes as APIs. Vital documentation, higher security standards, extensive testing, frequent versioning, and excellent reliability are all requirements for using APIs properly.

Context is king, in particular if you are troubleshooting your stack. Having all the right information from your observability platform to understand the behavior of your stack is fundamental for solving problems. With our StackState Observability Platform v5.1 release, StackState takes a big step forward to provide you even more information that is crucial for making decisions and for finding the root cause of an issue faster.

Database bloat is disk space that was used by a table or index and is available for reuse by the database but has not been reclaimed. Bloat is created when deleting or updating tables and indexes. Here's how to deal with it!

It can be a challenge to measure costs within a SaaS company. While a business with physical inventory can count the number of items sitting on the shelf and the money needed to create, store, and ship those items, operating within the cloud means SaaS companies have to measure their costs through a layer of abstraction. The number of users a given product supports and the resources needed to keep that product up and running could change by the minute.

Welcome to Part II of this three-part mini-series on bridging the gap between operational technology (OT) and information technology (IT) in Industry 4.0. In Part I, we set the stage for the remainder of the series and gave an overview of IT and OT, the two technological layers of modern industrial factories. In this blog, we expand on that knowledge by confronting the two domains and discussing the automation pyramid concept.