Since Sentry started, people have been asking us to build integrations for their favorite services. We get it — developer tools are always better when they work together. As Socrates said, teamwork makes the dream work. We like to help out, and that’s why today we’re launching the Sentry Integration Platform. Now you have the power to build the kind of integrations you want to see in Sentry. No need to wait around for us to do it.

Several months ago, the team here at Zenoss made some key predictions about infrastructure and service monitoring for 2019. Among them was this observation: A strategy relying on multiple disparate solutions to track the performance of the various aspects of an application’s performance no longer has legs, much as groups of infrastructure point tools are not effective at providing complete visibility across data center infrastructure.

If you’re like most people, you consult customer reviews before choosing whether to buy something online. Reviews help us make better decisions since they provide insight into how real-world customers experience a company’s products or services. Instead of being told what a company wants you to hear, you get to hear what’s what directly from actual users. We love customer reviews at Mattermost.

I’m not going to list all benefits of automating your monitoring system. If you’re here and reading this, you are most likely very aware that maintaining a large infrastructure is a big challenge. Automating the monitoring process for a huge amount of servers, virtual machines, applications, services, private and public clouds was a main driver for us when we decided to build Icinga 2. In fact, monitoring large environments is not a new demand for us at all.

Today we will take a tour of the most technical Pandora FMS. For some people, it can be a challenge. Although the IPAM extension already existed in Pandora FMS world, in release 731 this extension was improved to the point of being considered as a new extension. But what is IPAM? What is IPAM? and what is it for?…. In this article we will answer these important questions to be able to use it.

Twistlock is a platform for managing security and compliance within various environments, including virtual machines, containers, and serverless functions. Ensuring legal and technical security is just as valuable as preventing outages and errors, which is why Datadog is delighted to announce a new integration with Twistlock. With this integration, you can track security and compliance risks within the same platform as the metrics, traces, and logs you already collect with Datadog.

Entity extraction is, in the context of search, the process of figuring out which fields a query should target, as opposed to always hitting all fields. The reason we may want to involve entity extraction in search is to improve precision. For example: how do we tell that, when the user typed in Apple iPhone, the intent was to run company:Apple AND product:iPhone? And not bring back phone stickers in the shape of an apple?

Every time I get into a serious discussion about prioritization with the teams I coach, there’s a moment where someone does a big exhale (the kind where your cheeks puff out) and says “Let’s face it. We’re trying to do way too much and we’re kidding ourselves if we think we can do it at high quality.” And every time, they’re right.

Our Stackdriver Monitoring tool works on Google Cloud Platform (GCP), Amazon Web Services (AWS) and even on-prem apps and services with partner tools like Blue Medora’s BindPlane. Monitoring keeps metrics for six weeks, because the operational value in monitoring metrics is often most important within a recent time window. For example, knowing the 99th percentile latency for your app may be useful for your DevOps team in the short term as they monitor applications on a day-to-day basis.

Back in 2002 when I was a (very) junior programmer at a German enterprise software company I was lucky enough to be part of a small team that was building what you would now call a SaaS app. Up until now, the company had made all their profits by selling desktop software written in a language most people likely have never heard of: FoxPro. But instead of spending my days debugging FoxPro code, I was now green fielding JAVA web services.