Operations | Monitoring | ITSM | DevOps | Cloud

Your Jira Service Management forms can be reopened and edited. Check it out! This is Day 18 of the forms for Jira Service Management 30 Days of Demos series.

In the tech world, automation has become a buzzword, especially when it comes to SAP. But in the world of SAP on cloud infrastructure like AWS, it can be fully embraced by organizations to manage their SAP systems. Automation can help you scale out your SAP environment, providing significant savings to not only your cloud budget but also your team’s time and effort to manage large SAP environments.

Find out why the time is now for a smart cloud-native strategy. Don't get left behind the AI revolution.

Find out which are the key Docker metrics you should be monitoring when deploying your containers to ensure the health and performance of your system. Monitoring Docker containers is an essential step in development but is not always an easy thing to do. Even though Docker helped overcome some of the challenges of migrating from a monolithic architecture to a distributed system, it does come with a potential downside when it comes to monitoring. Having multiple containers across a wide variety of hosts that change their scale in milliseconds makes traditional monitoring tools totally obsolete.

What happens when a form is submitted in Jira Service Management? Find out in this quick video. This is Day 17 of the forms for Jira Service Management 30 Days of Demos series.

Please join us to hear how Steve led a team effort to lower the time it takes to onboard new logs into his data analytics platform. Steve optimized a process that previously took hours and reduced it to minutes to increase developer productivity and enable the logging and analytics team to focus more on delivering business value to Transunion.

Public clouds are great! Yet, many users are still reluctant towards moving their security-sensitive workloads away from their private data centers and into the public cloud, due to a set of security concerns. To address these challenges, what we need is a way to perform a privacy-preserving computation that can protect the confidentiality and integrity of your workload. Confidential computing achieves this by running your workload in a hardware-encrypted execution environment, that is isolated from the cloud provider’s privileged system software (e.g. hypervisor, host OS, and firmware), as well as its employees.