Operations | Monitoring | ITSM | DevOps | Cloud

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.

Let’s start with a simple picture and a question. You are involved in the day-to-day running of a complex and hybrid cloud of IT systems and applications. These systems, technologies, applications, processes and other platforms perform a number of critical business functions.

Companies all across the world are responding to the COVID-19 crisis by taking every precaution to limit its impact on the lives of employees and customers. The virus has created a ripple effect impacting everything from a visit to the local grocery store to countless conference cancellations. And the world became aware of this crisis only a little over a month ago. Tech companies have responded by asking, and even requiring, employees to work remotely.

Until now, standard search solution pricing has been based on models that are difficult to understand, expensive to scale, and/or beneficial to only the search vendor. At Elastic, we’re taking a different approach based on the principles of transparency, fairness, and scalability, and have introduced resource-based pricing for our products running on Elastic Cloud. And we believe that this pricing approach will revolutionize Enterprise Search buying and ownership.

With the release of Elastic Security 7.6, we've announced our creation of a modern detection engine that provides SOC teams with a unified SIEM rule experience through Elastic SIEM detections. The detection engine draws from a purpose-built set of Elasticsearch analytics engines and runs on a new distributed execution platform in Kibana.