14 Dec How to Achieve Faster, More Efficient & Scalable DevOps Operations with Kubernetes Data Services
In recent years, Kubernetes (K8s) has taken the DevOps world by storm as it enables developers to accelerate pipelines and scale operations. In fact, organizations are 2x as productive after adopting Kubernetes to manage their data and workloads. The majority of organizations who have implemented DevOps have also adopted Kubernetes data services.
In this article, we’re highlighting the efficiencies Kubernetes data services drive in DevOps organizations to provide a competitive advantage. The truth is, if you haven’t already adopted data services into your organization, the time is now.
What are Kubernetes Data Services?
According to RedHat, K8s data services are self-contained units of software functions that give data characteristics it doesn’t already have. In regards to infrastructure, K8s data services enable greater flexibility and agility by providing developers with the ability to:
- Access data in real-time
- Speed up deployments
- Improve efficiency and security
- Enhance scalability of operations
Discovering Kubernetes Data Services: Time and Location
There are two main data services we’ll be covering in this blog: Time and Location. Often, developers struggle with long data wait times that could take hours (even days) as you wait on the data to become accessible. With the data service of Time, developers are able to instantly retrieve a copy of the data as it existed at a previous moment in time.
The benefits are clear. The data service of Time creates a fluid dataset that is still impenetrable by attackers and is fortified to overcome errors, deletion, corruption, or overwrite. If a block of your data was corrupted at 5:00:01, you can simply regress the data to 5:00:00 to access the data at its last known ideal state. That’s right, all of this is possible with 1-second granularity!
With the data service of Location, developers can access data by name rather than location. This allows for the instant relocation of the data’s access point without requiring the prior physical movement of underlying data. Large datasets can now be moved across the world in 40 seconds or less. Need to send your data from New York to London? It’ll get there before you have a chance to send an email letting the team in London know it’s on the way.
Explore the Pipeline Efficiencies Brought On by Kubernetes Data Services
Kubernetes data services streamline the development pipeline and enable the quick accessibility and delivery of data — accelerating pipelines up to 500x. With K8s data services, DevOps teams can eliminate data wait time up to 99% with the ability to move and locate data in 40 seconds or less.
We’ve put together the following resource, A Quick-Step Guide to Achieving Faster, More Efficient, and Scalable DevOps Processes with Kubernetes Data Services, to help you visualize the positive impact implementing K8s data services within your DevOps processes will have on your CI/CD Pipeline such as:
- Achieving faster deployments
- Increasing agility and scalability
- Improving quality and security
In this guide, you’ll gain access to:
- The specific benefits of K8s data services for DevOps organizations
- The step-by-step process for implementing K8s data services within your CI/CD pipeline
- An in-depth look at ionir’s K8s data services
Kubernetes data services offer a unique solution to data mobility, resilience, and overall DevOps operations. With an expected 85% of future deployments using Kubernetes, the time to take advantage of K8s data services to stay one step ahead of the competition is now.
Are you ready? Start your free trial of ionir and explore the efficiencies Kubernetes data services can drive in your organization.