Operations | Monitoring | ITSM | DevOps | Cloud

We have all been there. When you are trying to buy a ticket and the app crashes or loads the next web page when booking a holiday only to find it takes forever and appears to hang. Our frustration level increases and if it continues, we will exit and go elsewhere. With banking apps though, we won’t move straight away but repeated bad experiences here will be remembered and eventually will make us move.

The testing pyramid model untangles the complexity of software testing by fitting it into an efficient hierarchical structure. By focusing on unit tests at the base, integration tests in the middle, and end-to-end tests at the top, the testing pyramid ensures that most testing efforts are spent on tests that are fast, reliable, and easy to maintain. This allows for quicker iterations, improved code quality, and more stable releases.

Oren Lion, Director of Software Engineering, Productivity Engineering, and Tim Schruben, Vice President, Logistics Engineering, both work for TeleTracking, an integrated healthcare operations platform provider that is Expanding the Capacity to Care™ by helping health systems optimize access to care, streamline care delivery, and connect transitions of care.

As organisations grapple with increasingly complex systems, applications, and infrastructure, the need for robust monitoring and analytics solutions has never been more critical. DataDog is a well known observability platform that has risen to prominence by addressing these challenges head-on.

With growing eCommerce channels and increased online shopping behavior, omnichannel retailers are grappling with the increased complexity brought on, in part, by current events, but more so the anticipated need to combine online and in-store merchandising, especially for the “new normal.” Siloed decisions around allocation, promotions, in-season pricing, inventory transfers, and fulfillment will fail to deliver the expected margin performance unless they address the interconnectedness of onlin

Effective device management solutions are crucial in today’s dynamic workplace, where working with several devices is the norm. As companies navigate hybrid models, remote work, and an expanding ecosystem of devices, device management solutions become necessary. In this article, we will look at the fundamentals of this technology paradigm and see how firms can increase productivity by making the most of device management solutions.

For engineers in charge of supporting Go applications, diagnosing and resolving memory issues such as OOM kills or memory leaks can be a daunting task. Practical and easy-to-understand information about Go memory metrics is hard to come by, so it’s often challenging to reconcile your system metrics—such as process resident set size (RSS)—with the metrics provided by the old runtime.MemStats, with the newer runtime/metrics, or with profiling data.

DevOps teams play an increasingly important role in all types of software companies. From legacy organizations to cloud-native startups, the DORA metrics tell us that the performance of the DevOps team correlates very closely with the overall success of the business.

Platform engineers can influence API development by following best practices and implementing DevOps design patterns.

Sigh...in the blink of an eye, AWS now has hundreds of thousands of SKUs, 180 different types of services, 17 different ways to launch a container, and has dozens upon dozens of regions and availability zones. No wonder AWS billing has become so complex to understand. Is there a fix?