In Part 1, we looked at metrics and logs that can give you visibility into the health and performance of your Consul cluster. In this post, we’ll show you how to access this data—and other information that can help you troubleshoot your Consul cluster—in four ways: Consul provides a built-in CLI and API that you can use to query the most recent information about your cluster, giving you a high-level read into Consul’s health and performance.
IoT, or the Internet of Things, has made its way into every corner of our lives. Once upon a time, the idea of an inescapable internet may have seemed like a far-off dream. Today, it’s our reality. Internet connected devices are everywhere—from our fitness trackers to our vehicles and appliances. These devices track our sleep patterns, enable us to set our coffee machines remotely, and find our pets after they have wandered off, among countless other tasks.
You can use our API to trigger an on demand run of both the uptime check and the broken links checker. If you add this to, say, your deploy script, you can have near-instant validation that your deploy succeeded and didn't break any links & pages. Our API allows you to trigger an on demand run for every check we do. But, it's an API - so it requires a set of IDs. First, let's find the different checks your site has.
I am delighted to announce a big new initiative that we have been working on here at Squared Up. Our engineers have been working their socks off to build a new product, Squared Up for Azure, and it’s shaping up very nicely. It’s not ready for you to play with quite yet, but we plan to have an early release available for enthusiastic testers in late September (sign up below!).
The Grafana Labs community has more than 600 developers around the world who contribute to our open source projects. From time to time, they also ask really great questions about how to get started in Grafana, how to solve an issue, or how to implement best practices for various functions. Here are three of the most popular questions on the Grafana community board right now – and the answers from Grafana team members and fellow developers.
In our Sentry for Data series, we explain precisely why Sentry is the perfect tool for your data team. The present post focuses on how we optimized Airflow for deeper insights into what goes wrong when our data pipelines break. Data enables Sentry’s go-to-market teams by generating high-quality leads and tailored marketing campaigns. Of course, data is also used to steer the business by influencing how we think about Sentry pricing, future opportunities, and feature roadmap.
Quite often I run projects at existing VMware customers that are building a new Digital Workspace. And quite often, that Digital Workspace contains a VDI. Especially when a customer is already using VMware technology in their data center, vRealize Operations (vROps) is used to monitor the environment. Although vROps is a great solution, it’s not really sufficient to monitor the desktop side of things.
Continuous delivery (CD) helps reduce the cost, time and risk of delivering changes by allowing for fast incremental updates to applications in production. However, it’s essential to monitor your application after each deployment. You need to be notified immediately if something is wrong or users are having a poor experience. Rollbar is a leading solution for error monitoring in the software development lifecycle. It alerts you when new errors occur after a deployment.
Last year at PagerDuty Summit 2018, we officially launched PagerDuty University (PDU), a training program that provides hands-on classroom training to current and prospective customers so they can get the most out of the PagerDuty platform. Since its debut, PDU has taught hundreds of learners how they can optimize their instances to minimize downtime and improve responders’ quality of on-call life, in addition to providing thought leadership best practices to customers around the globe.
TCP congestion control is a fundamental part of this protocol and over the years has undergone a process of constant improvement through the generation of different versions, such as TCP Tahoe, Reno, Vegas, and so on. The case of the TCP CUBIC version, which has been the default congestion control applied by Linux/Unix systems.
