Monitoring has been around since the dawn of computing. Recently, however, there’s been a revolution in this field. Cloud native monitoring has introduced new challenges to an old task, rendering former solutions unsuitable for the job. When working with cloud native solutions such as Kubernetes, resources are volatile. Services come and go by design, and that’s fine—as long as the whole system operates in a regular way.
In today’s era of microservices, containers, and containerized applications, software architecture is more complex. Kubernetes is king in this environment, orchestrating an army of Docker containers in more distributed environments.
With the majority of the workforce working remotely due to COVID-19, DevOps teams are still focused on delivering reliable, performant services. In these challenging times, ensuring that infrastructure and applications are available at their highest level is even more imperative—and worthy of recognition. We are all in this together, and in the spirit of supporting each other, we are excited to announce our Observability All-Star program.
Logz.io is excited to announce the 2020 Cloud Observability Webinar Series focused on DevOps, Open Source, and Observability! It’s certainly harder to attend interesting events in person these days. However, learning the same content you would at meetups and conferences for delivery of more reliable, performant, and secure services shouldn’t have to be. This series will offer a webinar every Wednesday until the end of June.
In this challenging global environment, we realize many of our customers will work from home for the next several weeks. Thankfully, Logz.io is designed to support distributed teams and work environments, and we wanted to highlight some of the ways you can use the platform both for remote monitoring and to collaborate better with your teams over the course of the COVID-19 pandemic.
Most software architects and developers know that they need to monitor their systems. What often prevents them from implementing an effective monitoring solution is the plethora of choices they face. To set up a monitoring solution, you first have to decide what you want to monitor and how you want to monitor it. Then you have to settle for a collection and storage method. Next, you have to implement the interesting metrics in your system and start collecting them.
