User centric solutions leveraging UX service design and solid research approaches. Our goal is to collaborate with clinicians designers and innovators to redefine the patient experience and impact the world with new alternatives. How SRE can make e commerce more sustainable during peak season RETAIL AND DISTRIBUTION November and December are one of the busiest months of the year for retailers and the holidays get people shopping According to McKinsey of respondents say they re looking forward to Christmas shopping and most people have the savings to spend it. started shopping in October instead of waiting until later in the season. So how can companies ensure that they are ready to offer their customers a quality shopping experience.
How SRE can make e commerce more sustainable whatsapp mobile number list during peak season The concept of site reliability engineering was invented by Google in. It was developed by Benjamin Traynor the company s vice president who was trying to solve Google s problems with service availability and stability. He assembled a team of people with different specializations developers testers Ops and DevOps engineers they were all interested in improving the system. Gradually the Trainor team solved the problems with the smooth operation of the services. And Benjamin formulated a new approach to the reliability of IT systems and described it in detail in his book. According to him SRE is what happens when a programmer is put in charge of what used to be called operations.
After Google SRE teams have also appeared in other companies developing highly stressed systems Apple Facebook Microsoft Twitter Oracle. Today most IT companies large or small have SRE teams. The tasks of SRE lie at the interface between operational tasks and the development of automated systems. This can include Configuration and processing of signals about problems in the system; monitoring and logging; the management of services so that their update does not overload the system; predicting the growth of services and requests for computing power; Calculation of optimal performance for the new system; Verification and control that the system is optimally utilized and that no additional costs are incurred for its operation.