Read the latest blog content from the ionir team, a group dedicated to enterprise-level data services for Kubernetes applications.
What if we could instantly rearrange the individual datum in a set according to time? What if we could include or exclude groups of data from a set in such a way that the full contents of the new data set represented the original contents of that set as it existed at a previous moment in time?
We need data services to drive more efficient processes, saving developers time on administrative tasks, and cutting time to deploy new applications and features. In this article, we’re uncovering what services will be required to make data more mobile, accessible, and resilient.
With a CAGR of 63%, the container infrastructure software market is rapidly growing. Consequently, traditional hardware vendors and cloud providers are racing to support containers and data services.
Only a few organizations are currently offering products that natively handle Kubernetes environments and the scaling challenges that come along with them. Thus, it’s best to keep up with container trends so that you can better vet potential technologies and their solutions.
DevOps pipelines are the backbone of innovation. Ensuring a fast, effective, and secure pipeline is critical for the overall success of an organization. DevOps needs a flexible container-native platform that easily adapts and expands to accommodate growing and scaling organizations.
DevOps environments often require a platform engineering team to support the strategic, technological, and cultural changes within the organization. Platform engineering is the process of constantly innovating and providing best practices for implementation, tools, and automation.
Since DevOps champions experimentation, speed, and iteration, the more tasks that can be automated, the better. The reason is simple. Automation tools reduce laborious man-hours.
Agile may have come to fruition first, but DevOps is taking control of the spotlight. So is DevOps replacing Agile altogether? Or is there a way these two frameworks can work in unison to ensure seamless deployment and time to market?
When it comes to fostering a dynamic DevOps environment, enterprises need to consider adopting technologies such as cloud services, containers, and microservices for maximum agility and flexibility. In this article, we’re taking a look at the three things a dynamic DevOps environment needs to gain flexibility.
Having the right set of tools to execute DevOps is crucial to ensuring a faster deployment pipeline. Ultimately, the key to implementing a highly effective toolchain is to automate data delivery and remove the data gap.
DevOps pipelines are the backbone of innovation. Ensuring a fast, effective, and secure pipeline is critical for the overall success of an organization. In order to stay relevant in rapidly changing markets and keep up with dynamic customer demands
How exactly does Kubernetes Native Storage (K8sNS) work? What makes this technology so disruptive? We’ve put together a 4-part video series that provides an in-depth technical overview of K8sNS
Kubernetes-Native Storage eliminates data gravity, allowing application data to move at the speed of applications. Full volumes, regardless of size or amount of data, are transported across clouds or across the world in 40 seconds or less.
Microservices architecture is a specific approach to building applications. Essentially, microservices ensure that a team’s changes won’t break the entire application. How? By being distributed and loosely coupled, modern microservices
Managing data can be a time-consuming task and if not done properly, it can lead to major issues. In a Kubernetes environment, where all resources become services, data and storage management are inextricably connected. Delivering
Kubernetes-Native Storage (K8sNS) is taking the enterprise by storm. With K8sNS, global organizations can support enterprise-class data and storage management all within one common platform. Kubernetes Native Storage is simple
Kubernetes (K8s) has revolutionized IT by providing the ability for enterprises to deploy a common cloud platform for their business applications across multiple clouds, delivering agility, consistency, and reductions in costs and complexity. All of
ionir’s software-defined storage solution offers capabilities previously available only on traditional, expensive, monolithic storage appliances. Now, enterprises can instantly restore data to any point in time without the complexity and
The technology drivers for private clouds and public clouds overlap to a great extent. However, when it comes to data storage there is a great degree of divergence between private and public clouds. Storage is different from compute
Enterprises around the world are embracing the cloud and cloud native technologies. And who can blame them? From cost savings to increased agility and reliability, there are plenty of reasons to make the switch. The technological drivers
Containers and Kubernetes allows enterprises to build applications that are portable across clouds, and provides seamless mobility between infrastructure pools. However, when an application instance has state, this flexibility disappears, and they
The rise and popularity of containers is due to the significant benefits containerization offers, which include efficient utilization of resources, infrastructure elasticity, improved scalability and productivity