When is it safest to visit Chicago parks? To walk the city’s streets? To be a kid? Here are three incredible anomalies I turned up in Chicago law enforcement data. I love Chicago. I’ve lived in Illinois for five years, and have come to love my visits to the city – the parks, the lake, the architecture, the music, the food, the universities, the people. It’s a city that’s truly unique in the world.
Tinder is the world’s most popular dating app, with more than 26 million matches made each day. But two years ago, when it was time for the L.A.-based company to find and implement a perfect metrics monitoring partner, the process proved to be more slow-burn love affair versus whirlwind romance.
In a previous post we looked at 6 key considerations to keep in mind when selecting a log management solution: data collection, search experience, scalability, security, advanced analytics and cost effectiveness. Hopefully, you’ve managed to use this list to finally select your solution. What now?
Simple enough to be embedded in text as a sparkline, but able to speak volumes about your business, time series data is the basic input of Anodot’s automated anomaly detection system. This article begins our three-part series in which we take a closer look at the specific techniques Anodot uses to extract insights from your data.
Serverless computing is a cloud-based application architecture where the application’s infrastructure and support services layer is completely abstracted from the software layer. Any computer program needs hardware to run on, so serverless applications are not really “serverless” - they do run on servers - it’s just that the servers are not exposed as physical or virtual machines to the developer running the code.
In this blog post we will go through how you can create plugins for Grafana using ReactJS. This presumes you have some basic knowledge about writing components in React.
An important element of operating Kubernetes is monitoring. Hosted Kubernetes services simplify the deployment and management of clusters, but the task of setting up logging and monitoring is mostly up to us. Yes, Kubernetes offer built-in monitoring plumbing, making it easier to ship logs to either Stackdriver or the ELK Stack, but these two endpoints, as well as the data pipeline itself, still need to be set up and configured.
Six months in the making, Write-Ahead Logging (WAL) for the remote_write API was one of the enhancements we included in the Prometheus 2.8 release on March 12. It’s a change intended to safeguard client metrics in the face of any network issues.
