To meet data requirements, customers are opting for modern application deployment and administration across multiple clouds and clusters; however, this composite architecture makes managing these applications – and the data they house – much more complex. Faced with the growing demand for innovative features, faster data analysis and accelerated software deployment, everyone is working to gather as much actionable information as possible.
With the rapid acceleration of the cloud, enterprises must be able to manage these new workloads while exploiting the added value of their data. A ready-made solution is available to them: Kubernetes, an open-source system which, according to a report by T4.ai, now orchestrates more than three-quarters of containerized applications. It is therefore necessary for companies to understand how containers and Kubernetes can help them modernize and achieve success by providing them with automation functions and strategic information.
Get strategic insights with Kubernetes
In order to get the most out of this strategic information, companies need to think about a method that would enable them to optimize data management, protection and services. The Kubernetes data management platform can thus make its entrance. Once installed, Kubernetes greatly improves collaboration and frees DevOps teams to do what they want so they can focus on innovation instead of monotonous day-to-day management and maintenance tasks.
Why should organizations choose Kubernetes? Thanks to this efficient platform, capable of easily running cloud-native applications, digital innovators are able to quickly extract strategic information from their data and benefit from actionable elements to better accelerate development, as well as the production start. In fact, they encourage creativity and boost productivity within their departments.
Kubernetes evolves with modern applications
Whether privately or professionally, we all rely on modern apps. It is therefore not surprising that companies are emphasizing the development and availability of such applications in their future strategies.
Modern applications, sometimes composed of dozens – or even hundreds – of microservices, are often supported by one or more data services, such as databases, AI or machine learning pipelines, search, or streaming and message queues.
Managing so many services proves to be very complex, and this complexity is particularly apparent when observing the number of database instances to be managed and adapted according to the different environments.
By automating simple and repetitive tasks, the single platform for managing data services on Kubernetes helps simplify day-to-day operations. It can thus carry out data analyzes in real time and act according to different situations, individually or simultaneously.
In contrast, with their semi-annual upgrades and noticeably slow deployment operations, legacy and monolithic architectures make it difficult to obtain actionable data. For enterprise IT departments, tired of having to rely on such slow processes, modern applications represent a real deliverance.
Refrain from bribing microservices with micromanagement
By building microservices-based applications, multiple organizations have been able to embrace a DevOps culture and distribute members of over-large teams into more cohesive groups tasked with running those applications.
However, these DevOps teams may experience challenges in building and running these microservices – such as building a package of applications that are intended to be deployed in any type of environment, and in particular in a developer’s laptop.
To solve this problem, the solution would be to use containers, which nevertheless implies having to ensure their permanent management. This is where Kubernetes comes into play.
Drive innovation by deploying Kubernetes
To be successful, a company now relies on four well-defined criteria: speed, reliability, agility and scalability. So, by combining common containers with Kubernetes, companies are able to create a cohesive, easy-to-use management platform that makes collaboration between operations and development teams more seamless.
If on the one hand, an agile and meticulous data management accelerates decision-making, poor data management can, on the other hand, have a negative impact on the work of the teams.
Adding more efficient and manageable self-service automation capabilities enables companies to help their DevOps teams focus on innovation and better meet operational needs, instead of difficult to maintain operational systems.
Kubernetes delivers a crystal-clear, more efficient, and more agile data management environment, and plans to provide the ability to derive more business-critical insights from data in the future.