Data is one of the most important assets a business can have in its arsenal, but if it cannot be managed and analysed effectively, it quickly loses its value. Data analysis requirements continue to increase, and customers deploy and manage modern applications across multiple clouds and clusters — this disparate architecture brings complexity in how to manage applications and of course the data they all hold.
Everyone is looking to get faster time to insight as they navigate the ever-increasing requirement for new features and functionality, quicker data analysis and speedy software deployment.
With Kubernetes now orchestrating more than three-quarters of all containerised applications and cloud computing accelerating at such a rapid pace, organisations need to understand how containers and Kubernetes can help navigate this world and deliver the automation and data insight needed for a modern business to thrive.
In order to start unlocking this insight, organisations need a data strategy which encompasses great data management, data protection and data services. This is where the Kubernetes data management platform comes into play for the benefit of organisations. Implementing Kubernetes should also improve collaboration and make room for DevOps teams to focus on innovation, rather than day-to-day management and maintenance.
Kubernetes is orchestrating more than three-quarters of all containerised applications
Why should organisations do this? By providing a platform to run cloud native applications easily, Kubernetes allows digital leaders to quickly gain business-critical insights from their data. This will give them faster time to insight, fast development and fast speed to production unleashing creativity and productivity within their organisations.
Composed of dozens or even hundreds of microservices, modern apps are often supported by one or more data services such as databases, streaming and message queues, search, AI, ML pipelines, and more. Managing so many types of data services is complex, but this complexity is augmented further by the number of database instances to manage and scale across disparate environments.
Organisations need to understand how containers and Kubernetes can help navigate this world and deliver automation
One platform for managing data services on Kubernetes will help simplify day to day operations through automating mundane, repetitive tasks. Whether working in concert or individually, this will open the possibility to analyse and act on data in real time.
What prevents speed to insight is legacy monolithic architectures with their six-month release cycles and lethargic deployment. Enterprise IT organisations have grown tired of this slow progress. Unchained from this, a modern application represents freedom.
Some organisations started building applications using microservices, transforming into a DevOps culture, and breaking large teams into smaller ones to build and run them.
Organisations need a data strategy which encompasses data management, data protection, data services
However, building and running microservices in DevOps teams can raise problems. For example, packaging applications so they could be deployed in any environment, including a developer’s laptop. Containers solved this issue, but that resulted in having a lot of containers to continuously manage. And that’s where Kubernetes really comes in.
Speed, scale, agility and reliability have never been more critical to the success of a company. By bringing standard containers to Kubernetes, businesses can build a platform where consistent and simplified management facilitates collaboration between developer and operations teams.
By bringing standard containers to Kubernetes, businesses can build a platform with simplified management between developer and operations
The future of Kubernetes promises to offer a seamless data management environment which improves efficiency, delivers agility, and ultimately enables faster data insight.
Implementing Kubernetes should improve collaboration and make room for DevOps teams to focus on innovation, rather than day-to-day management and maintenance.
