Operations | Monitoring | ITSM | DevOps | Cloud

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Prometheus is an open-source monitoring system which helps you collect, store, query, and get alerts on metrics that are important to your applications and infrastructure. In this video, we introduce Google Cloud Managed Service for Prometheus which is designed to help you scale your monitoring. Watch to learn how you can configure and manage Prometheus to keep up with the metrics from all of your successful services!

When there's a high severity incident at a hospital, it could be a life or death situation. So how do you get in contact with the right doctors and clinicians in such a busy environment when tensions are running high? Join Glenn Steketee, Technology Service Analyst at UK Healthcare, Sonu Sekhon, Customer Success Manager at xMatters, and Will Derksen, Product Advocate at xMatters, to discuss how xMatters reduced incident response times from minutes to seconds.

We’ve made two simple, but important improvements to the Jira Service Management portal experience. This video introduces the ability to configure a custom login welcome message and customize home page layout, including the ability to select featured service projects. Driven by the desire to continually improve the customer experience and enhance guidance within the portal, these enhancements enable customers to easily get access, and find the help they need fast.

Gain the knowledge of Spark veteran Alex Pierce on how to manage the challenges of maintaining the performance and usability of your Spark jobs. Apache Spark provides sophisticated ways for enterprises to leverage big data compared to Hadoop. However, the increasing amount of data being analyzed and processed through the framework is massive and continues to push the boundaries of the engine.

Does your big data analytics platform provide you with the Spark recommendations you need to optimize your application performance and improve your own skillset? Explore how you can use Spark recommendations to untangle the complexity of your Spark applications, reduce waste and cost, and enhance your own knowledge of Spark best practices. Topics include: Join Product Manager Heidi Carson and Field Engineer Alex Pierce from Pepperdata to gain real-world experience with a variety of Spark recommendations, and participate in the Q and A that follows.

Big data analytics performance management is a competitive differentiator and a priority for data-driven companies. However, optimizing IT costs while guaranteeing performance and reliability in distributed systems is difficult. The complexity of distributed systems makes it critically important to have unified visibility into the entire stack. This webinar discusses how to maximize the business value of your big data analytics stack investment and achieve ROI while reducing expenses. Learn how to.

Autoscaling is the process of automatically increasing or decreasing the computational resources delivered to a cloud workload based on need. This typically means adding or reducing active servers (instances) that are leveraged against your workload within an infrastructure.

Complex applications running on Kubernetes scale super fast, but this can create visibility gaps that can make detecting and troubleshooting Kubernetes issues as difficult as finding a needle in a haystack. Although Docker and Kubernetes are now becoming standard components when building and orchestrating applications, you’re still responsible for managing the performance of applications built atop this new stack.