Operations | Monitoring | ITSM | DevOps | Cloud

Our shared future has always been profoundly enigmatic. Hoary seers from days of yore would never have predicted everyday life as it is now. It would have been impossible to guess most of what has already happened in the 21st century. Peering into crystal balls would have proved equally futile. Even an attempt to make well-educated guesses about possible issues with big data would likely have been way off the mark.

Microsoft Dynamics CRM is an excellent fit for financial services organizations because of its in-depth client insights, reporting capabilities, and integrated compliance. It is critical to select the appropriate partner in order to reap the advantages of these key features and to guarantee that they are successfully implemented.

With over 200 products offered by AWS, when designing a solution, such as a micro-services based system using a number of these services at its core, it becomes rather challenging to not only monitor them but on the onset of a problem troubleshooting it and resolving it within the least amount of time becomes a daunting task. Building a monitorable system requires a deep understanding of the failure domain of the critical components, which is a tall order for a fairly complex system.

As the world is increasingly reliant on technology, software developers, cloud architects, and DevOps practitioners bear a responsibility similar to that of the health industry or to airplane pilots, for example. In this reality, cloud monitoring isn’t optional, it’s a matter of being professional. What is optional, however, is what monitoring solution to go for. Obviously, the one that best fits your specific needs but which one is it?

As CFO of Virtana, I face many of the same challenges as every CFO of a SaaS or enterprise software company today: cost containment, surprises, and an ever-escalating AWS bill. We all need help keeping these things in check. These challenges become even more difficult when your organization goes hybrid cloud. Fortunately, there are tools out there to help our teams help us manage these costs.

All too often, the Kelverion team hear that businesses are trying to deliver more services with less resource, all whilst meeting tight Service Level Agreements. There are many automation use cases to relieve this pressure, and this article explores the six use case examples driving automation adoption within service management.

Whether you are moving your applications to the cloud or modernizing them using Kubernetes, observing cloud-based workloads is more challenging than observing traditional deployments. When monitoring on-prem monoliths, operations teams had full visibility over the entire stack and full control over how/what telemetry data is collected (from infrastructure to platform to application data).