![]() ![]() Typically, tasks such as CI/CD workload sizing, resource distribution, and load balancing are ad-hoc decisions, and are defined by a lack of contextual insight. ![]() However, data analytics on application infrastructure is an emerging area within software engineering. According to the Cloud Native Computing Foundations 2020 Cloud Native Survey, a significant proportion of developers lack the clarity and understanding required to inform decision making for site reliability engineering fuelled by data. The rise of microservices and cloud-native applications has created an application infrastructure that is increasingly complex and difficult to understand. Yet, to thrive, developers must be able to make sense of Kubernetes clusters with observability. In today’s world, the most prevalent tool within the industry is equally the most misunderstood. While developer tools are geared towards progression, the speed of change means that they sometimes miss the forest for the trees. Driven by a quest to deliver faster performance, optimised efficiency, and enhanced business results, organisations are under pressure to keep up with the changing needs of engineering teams, as well as their customers. Developer technologies, such as Kubernetes, are rapidly evolving. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |