The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
In this blog you will learn: Keyword monitoring, or simply put, the practice of checking if a specific word is still present on a website, has many uses beyond just monitoring your uptime and errors. Keyword monitoring allows you to receive alerts about updates to content, or checking the content of a JSON file based on the words or phrases you’re interested in.
Apache Kafka, born at LinkedIn in 2010, has revolutionized real-time data streaming and has become a staple in many enterprise architectures. As it facilitates seamless processing of vast data volumes in distributed ecosystems, the importance of visibility into its operations has risen substantially. In this blog, we’re setting our sights on the step-by-step deployment of a containerized Kafka cluster, accompanied by a Python application to validate its functionality. The cherry on top?
Containers have gained significant popularity due to their ability to isolate applications from the diverse computing environments they operate in. They offer developers a streamlined approach, enabling them to concentrate on the core application logic and its associated dependencies, all encapsulated within a unified unit.
In OpenTelemetry metrics, there are two temporalities, Delta and Cumulative and the OpenTelemetry community has a good guide on the different trade-offs of each. However, the guide tackles the problem from the SDK end. It does not cover the complexity that arises from the collection pipeline. This post takes that into account and covers the architecture and considerations that are involved end-to-end for picking the temporality.
So many businesses today are playing “Hungry, Hungry, (Data) Hippo,” devouring every marble of information they can get their hands on. While it seems like every company has a robust data aggregation system, what most companies don’t have is an efficient way to control what data they store and where that data goes. We all want to make data-driven business decisions, but sorting through tons of data to find useful business insights can be like finding a needle in a whole farm.
