It is no secret that the pandemic has greatly accelerated the need for digital transformation, and workplace technology is no exception. Meanwhile, the overarching move to omnichannel and digital-first approaches has dramatically reset employee needs. Furthermore, as we continue to move toward a modern world of hybrid working, organizations must optimize their employee experience (EX) to attract and retain top talent.
Budgeting for user experience management solutions has been dynamic recently. When the pandemic hit, corporations freely opened the purse strings to ensure that employees had the tools to work outside the traditional office. The Return on Investment (ROI) for improving the overall Digital Employee Experience (DEX) didn't matter so much. With inflation now the main topic in executive meetings, the strings for DEM/DEX investments have been drawn tighter. Gartner has published a report titled "Market Guide for Digital Experience Monitoring" which states that "enterprises that invest in DEM solutions can expect a 30% reduction in Mean Time to Resolution (MTTR) and a 20% reduction in downtime."
Cloud transformation is real. And it's spectacular. According to global business management and consulting firm McKinsey & Co., cloud transformation is the engine driving $1 trillion in economic activity for Fortune 500 companies alone. Innovations enabled by the cloud touch nearly every aspect of running a successful business, including the development of new products and services, access to new customers and markets, frictionless transactions, streamlined communication and collaboration, and access to talent without concern for traditional geographic barriers.
Debugging in a cloud environment can be tricky, as it involves multiple layers of abstraction and virtualization. Unlike traditional on-premise environments, cloud environments are highly distributed and dynamic, making it challenging to identify and troubleshoot issues. One of the biggest challenges with debugging cloud applications is the need for more visibility into the underlying infrastructure and the complexity of the application architecture. Fortunately, pinpointing and resolving the cause of the issue is much more manageable with server-side monitoring, detailed error reporting and cloud debugging solutions.
Most SRE teams eventually reach a point in their existence where they appear unable to meet all the demands placed upon them. This is when these teams may need to scale. However, it's important to understand that increasing team capacity is not the same as increasing the number of people on the team. Let's unpack what scaling a team is all about, what are the indicators, what are steps you can take, and how you know if you're done.
In the era of cloud-native development, as businesses rely on a growing number of software tools to enable agile application delivery, platform engineering has emerged as a crucial discipline for building the technology platforms that drive DevOps efficiency. In this blog post, we explain the growing importance of platform engineering in high-performance DevOps organizations and how platform teams enable DevOps efficiency, agility, and productivity.