Three Ways Catchpoint Monitors the Edge
Edge computing – with its ability to help unleash the potential of smart cities and autonomous vehicles, is something often thought to exist “around the corner” as opposed to an industry already in motion.
Edge computing – with its ability to help unleash the potential of smart cities and autonomous vehicles, is something often thought to exist “around the corner” as opposed to an industry already in motion.
It’s been shown that if you follow a proven collection of practices for developing, designing, testing, implementing, and maintaining your software, you will produce a much higher quality product. Over the past few years, we have seen an increasing number of cases of attacks on the application layer. The Open Web Application Security Project, OWASP, estimates that around one-third of web applications contain security vulnerabilities.
This is a review of the last three years that we spent stabilizing Marathon. Marathon is the central workload scheduler in DC/OS. Most of the time when you launch an app or a service on DC/OS, it is Marathon that starts it on top of Apache Mesos. Mesos manages the compute and storage resources and Marathon orchestrates the workload. We sometimes dub it the “init.d of DC/OS”. Being such an integral part of DC/OS, we must ensure that it keeps functioning.
The Internet has enabled a level of collaboration like never before in history. With just a few mouse clicks, you can see other people on the other side of the world and work with them remotely on whatever you want. Remote work is becoming new normal in many organizations. Managing teams remotely sometimes even in different time zones, with poor communication, monitoring becomes complex, and team misalignment is paramount.
When was the last time you had the chance to listen to some of the most beautiful concerts that nature can play for you? From simple chirps and tweets to complex bird songs composed into a sophisticated soundscape, you may wish you could decrypt and understand their daily conversation. “Hey, good morning, how are you today?”, you might hear in the early hours, sometimes so loudly that you are awakened from the chirping.
Your worst nightmare: a failure, a breakdown or any other inconvenience that can disrupt the smooth running of your daily activities that happens at the worst possible time. When you need your equipment, its reliability is absolutely paramount. In the absence of proper and functioning equipment, you’re not only wasting time, but you’re also jeopardizing employee productivity and the reputation of your service, all while seeing an increasement of operational cost.
This is part of a series of articles discussing strategies to implement serverless architectural design patterns. We continue to follow this literature review. Although we use AWS serverless services to illustrate concepts, they can be applied in different cloud providers. In the previous article (Part 1) we covered the Aggregator and Data Lake patterns. In today’s article, we’ll continue in the Orchestration & Aggregation category covering the Fan-in/Fan-out and Queue-based load leveling.