Despite its wealth of monitoring data, SCOM is often seen as a source of noisy alerting and can lack visibility of problems before they impact the business. SquaredUp transforms SCOM into one of the most visible and highly valued tools in your IT organisation. Founder and CEO, Richard Benwell, gives a quick taste of what SquaredUp for SCOM can do in your SCOM environment.
In this episode of Coffee & Containers, North American DevOps Group's Jim Shilts speaks with Shipa's Bruno Andrade, VMware Tanzu's Gautham Pallapa, and IBM Cloud's Jason McGee McGee. The topics covered include: ibm cloud platform
Shipa is excited to launch our new webcast series, Talking Shipa. To kick this series off, we sat down with Shipa Founder and CEO, Bruno Andrade, to discuss the release of Shipa Application Management Framework for Kubernetes, version 1.2.
In this video, you’re going to learn exactly how to create a Status Page for your business in just 3 minutes! To be clear: Creating a Status Page takes hard work. But with this video tutorial, you’ll have a proven process that you can use to create a Status Page under 3 minutes and save a lot of time. All in all, you save a lot of time and can relax more.
This sneak peek introduces the Custom Statuses feature. Custom Statuses allow users to add a descriptive status message and status emoji that’s visible to all users. Users will gain the flexibility to express their current status in any way they prefer.
The video contains a demonstration of the creation of a runtime field in which the day of the week is calculated from a timestamp field that contains the date. A visualization is then created in Kibana Lens using an indexed field and the newly created runtime field. Runtime field is the name given to the implementation of schema on read in Elasticsearch.
The video contains a demonstration of using a runtime field to fix errors in the indexed data. We intentionally index documents with some errors, and then use a runtime field to shadow the indexed field. The demonstration shows how a user querying the data or creating a visualization in Kibana Lens will see the correct information, which is calculated in the runtime field. This scenario allows for immediate fixing of errors in the indexed data by shadowing them with runtime fields (instead of reindexing). Runtime field is the name given to the implementation of schema on read in Elasticsearch.