Pure Storage explains the potential of containers & Co.
If data is not managed and analyzed effectively, it quickly loses value for companies. The requirements for data analysis are therefore increasing. Companies deploy and manage modern applications in various clouds and clusters. Everyone is looking for faster insights to cope with the ever-increasing demands for new functions and functionalities, faster data analysis and faster software deployment. Pure Storage will explain how Kubernetes can help with an efficient strategy for data management in the following.
Organizations should consider Kubernetes as the linchpin for enabling and managing these new workloads, as well as for extracting the important value from the data. Kubernetes now orchestrates more than three-quarters of all containerized applications, and cloud computing is rapidly evolving. Companies must therefore understand how containers and Kubernetes can help them find their way in this world. It is now a matter of delivering the level of automation and data insight that a modern company needs to thrive.
Gaining business-critical insights through Kubernetes
To gain these insights, companies need a data strategy that includes good data management, data backup and data services. This is where the Kubernetes data management platform comes into play, from which companies can benefit. The implementation of Kubernetes should also improve collaboration and create space for DevOps teams to focus on innovation instead of taking care of day-to-day management and maintenance.
Why should companies do this? Kubernetes provides a platform for easy execution of cloud-native applications and enables digitally leading companies to quickly gain business-critical insights from their data. This means you get faster insights and can realize faster development and production maturity, which promotes creativity and productivity.
Modern applications drive the development of Kubernetes
From paying bills to collaborating with colleagues to saving lives, people rely on modern applications at home and at work. It is no surprise that companies prioritize the development and deployment of modern applications as part of their forward-looking technology strategies.
Modern applications consisting of dozens or even hundreds of microservices are often supported by one or more data services such as databases, streaming and message queues, search, AI/ML pipelines and others. Managing so many types of data services is complex. This complexity is further increased by the number of database instances that need to be managed and scaled across different environments. A platform for managing data services on Kubernetes will help simplify day-to-day operations by automating everyday, repetitive tasks. Regardless of whether they are executed together or individually, according to Pure Storage’s experience, this opens up the possibility of analyzing and reacting to data in real time.
Monolithic legacy architectures, with their six-month release cycles and lethargic deployment, prevent quick insights. The IT organizations of the companies have become tired of this slow progress. A modern application that is detached from it means freedom.
Avoidance of micromanagement of microservices
Some companies have started to develop applications using microservices, adopt a DevOps culture, and split large teams into smaller teams to develop and operate them.
However, creating and running microservices in DevOps teams can cause problems, Pure Storage warns. An example is the packaging of applications so that they can be used in any environment, including on a developer’s laptop. With containers, this problem was solved, but this led to the fact that many containers had to be constantly managed – and this is exactly where Kubernetes comes into play.
Using Kubernetes to promote Innovation
Speed, scalability, agility and reliability have never been so important for the success of a company. By integrating standard containers with Kubernetes, organizations can build a platform where consistent and simplified management facilitates collaboration between development and operations teams.
Good, thorough and agile data management can enable quick decision-making. If data is poorly managed, this can also significantly slow down a team. By introducing self-service automation and simple and effective management, organizations can empower DevOps teams to focus on innovation and meeting business needs instead of worrying about operations. The future of Kubernetes promises a seamless data management environment that improves efficiency, provides agility and ultimately enables faster data insights.