This is a two-part blog series which covers the fundamental questions businesses need to ask for cost-efficient cloud usage. These questions include: While you can find the first four questions answered in the first part of this series, you can also get access to the full list by downloading our latest white paper, How IT leaders can drive more with less: An enterprise guide to technology adoption and cloud usage in a disrupted economy. Now let’s explore the second half of the checklist.

Top tips is a weekly column where we highlight what’s trending in the tech world today and list ways to explore these trends. This week, we’ll discuss ways in which tech companies can revive themselves after making a mistake. As humans, we are bound to make mistakes, and mistakes are forgiven. But when it comes to the cutthroat business of tech, mistakes are hardly forgiven, and the sad part is that mostly it is hard to recover from them.

Quality medical care today relies on “health systems” built from geographically distributed healthcare settings such as hospitals, urgent care clinics, imaging centers, nursing homes, pharmacies, and specialist offices, among many others. Each setting shares data within the broader health system through Electronic Medical Records (EMRs). EMR systems, which were purpose-built to manage patient records, help improve patient outcomes through the real-time sharing of patient data.

Many businesses in the current market have integrated both DevOps and agile to stay ahead of the competition. A recent report showed that 97% of companies have now shifted to using agile development methods. By implementing the two concepts, businesses achieve higher customer satisfaction levels and more brand loyalty. One element that makes it possible to achieve these goals is process automation.

Today, Gremlin is introducing Gremlin for AWS, a suite of tools to more easily find and fix the reliability risks that cause downtime on AWS. The cloud opens up a range of reliability challenges that didn’t exist before, especially for customers running distributed, mission-critical workloads. Teams experience the pain of failed migrations, frequent incidents, and reliability toil, but often struggle to modernize their approach to reliability as they modernize their infrastructure.