This year we introduced the Sentry Integration Platform, which allows 3rd-party developers to build integrations that connect Sentry with their software. More recently we launched Internal Integrations, which lets developers combine Sentry with their internal tools to support their own custom workflows.
This blog post is a writeup of the presentation Bartek Plotka and I gave at PromCon 2019. Cortex is a horizontally scalable, clustered Prometheus implementation aimed at giving users a global view of all their Prometheus metrics in one place, and providing long term storage for those metrics. Thanos is newer project aimed at solving the same challenges. In this blog post, we compare these two projects and see how it is possible to have two completely different approaches to the same problems.
We are excited to announce the General Availability release of our PHP APM agent. You can now monitor your Laravel applications out of the box, and support for more PHP frameworks is in the works!
Predictive analytics for networks are helping businesses optimize their network performance, anticipate network capacity related requirements, and eventually forecast future much more efficiently than ever. Gartner has estimated the value of network monitoring software market at roughly $2.1 Billion, this figure is presently increasing at a growth rate of 15.9% annually. The demand for predictive analytics in network monitoring software has grown beyond enterprises and datacentres.
Whether you’re new to development or a seasoned developer, containers have proven to be game-changing in building, testing, and deploying applications. This article is meant as a quick introduction to the world of containers. To get started, you’ll need to install Docker to follow along with the examples. If you haven’t installed Docker yet, head over to their website to get it installed. There are free versions available for all major operating systems.
Ever since container technology hit the scene in 2013, it’s generated excitement from developers and operations teams. Using containers to deliver apps and microservices helps enable large scalable deployments with smoother rollouts, accomplishing in minutes what used to take hours, if not days. Delivering the containers themselves, however, can still be challenging to do across all types of modern infrastructure.