Operations | Monitoring | ITSM | DevOps | Cloud

Modern DevOps engineers are responsible for both running production and quickly responding to any production issues. To do this, they need to streamline their CI/CD pipeline and be equipped to quickly identify and investigate problems in production. In this webinar, we’ll hear from Mike and Sam from Logz.io and CircleCI, respectively, on how CircleCI and Logz.io can work together to simplify and accelerate application delivery and response to production issues.

Kibana 7 introduced some new changes to the popular visualization platform, and this webinar will address how those updates are reflected in Logz.io. The recent enhancements included a cross-app dark theme, a new time picker, new filtering, a better dashboarding experience, and a significant boost in performance. But have the changes impacted your Logz.io user experience? We will dig in and detail how you can avoid common pitfalls and challenges. Expect to learn about.

Looking to simplify your remote observability strategy for your Azure environment? In this webinar, we’ll explore the unique challenges of Azure observability in light of the COVID-19 pandemic, as well as challenges that will continue to persist once the outbreak slows.

In this webinar, Roy Nuriel, our Senior Product Manager for Infrastructure Monitoring on discussed how our customers are using a Grafana-based metrics monitoring solution to deliver more reliable services.

In this webinar, Noni Peri, our Production Team Lead at Logz.io, discussed how to monitor Kafka’s performance and reliability by collecting and analyzing its JMX metrics with Logz.io

DevOps teams monitor their logs, metrics, and traces to identify and troubleshoot production issues in their Azure environments. But as they add new microservices, the scale and variety of telemetry data quickly becomes overwhelming. Learn how the Logz.io Observability Platform simplifies monitoring by providing the open source tools engineers prefer on a single, integrated platform purpose built for monitoring distributed cloud workloads.