Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.

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!

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.

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.

Data privacy and security are a top concern for most organizations. It’s easy to see why given changes over the past few years. These types of protections can be great for us as consumers. However, they also make it extremely difficult to create realistic production simulations in pre-production. It’s hard to rapidly develop new applications if you can’t iterate against realistic data.

cAdvisor (container advisor) is an open-source container-monitoring platform developed and maintained by Google. It runs as a background daemon process for collecting, processing, and aggregating data into performance characteristics, resource usage statistics, and related information about running containers. With built-in support for Docker and literally any other container type out of the box, cAdvisor can be used to collect data on virtually any type of running container.