The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
Hello, I’m Callum. I work on Grafana Loki, including the hosted Grafana Cloud Logs offering. Grafana Loki is a distributed multi-tenant system for storing log data — ingestion, querying, all that fun stuff. It also powers Grafana Cloud Logs.
We’ve got a lot of OpenTelemetry-flavored honey to send your way, ranging from OpenTelemetry SDK distribution updates to protocol support. We now support OpenTelemetry logs, released a new SDK distribution for OpenTelemetry Go, and have some updates around OpenTelemetry + Honeycomb to share. Let’s see what all the buzz is about this time! 🐝🐝
Companies must effectively monitor their assets and networks in today's competitive setting, get the most significant result, and react swiftly to problems. However, such a situation is unusual with companies that continue to run in a traditional, isolated setting. These companies frequently don't have precise asset performance tracking procedures.
For the past 25 years, I’ve been monitoring networks, applications, services, basically anything digital on a quest to understand “when is it safe to cross the road”! We all know, just blindly crossing a road is EXTREMELY dangerous!
In this tutorial we’ll learn how to use Python to get time series data from the OpenWeatherMap API and convert it to a Pandas DataFrame. Next we’ll write that data to InfluxDB, a time-series data platform, with the InfluxDB Python Client. We’ll convert the JSON response from our API call to a Pandas DataFrame because I find that that’s the easiest way to write data to InfluxDB.
Redis is an open-sourced, BSD 3 licensed, highly efficient in-memory data store that can be easily used as a distributed, in-memory key-value store, cache, or message broker. It is known for being extremely fast, reliable, and supporting a wide variety of data structures, making it a very versatile tool widely adopted across the industry. Redis was architectured with speed in mind and is designed in a way that it keeps all the data in memory.
Service virtualization is not new. In fact, the concept and technology were established 20 years ago. At its core, service virtualization offers the ability to simulate behavior, data, and performance characteristics of applications and services. Through service virtualization, teams can ensure they have an on-demand environment to support their testing needs.