08 Feb Debunking 3 Major Myths Around the Challenges of Kubernetes Adoption
Kirby Wadsworth
Kirby has more than two decades of marketing leadership in both publicly traded large enterprises and emerging startups. As a founder and early venture executive with several successful exits, Kirby helped pioneer the cloud storage, continuous data protection, and file virtualization industries.
With the ability to quickly and efficiently move data across multiple clouds, Kubernetes adoption is key to simplifying and streamlining DevOps operations. According to recent industry findings, over 50% of DevOps, Platform, and Cloud Engineers report that moving to Kubernetes is critical or important to business success. And of those who aren’t leveraging Kubernetes already, 50% plan to run stateful applications in Kubernetes (K8s) within the next 12 months.
Yet, challenges still prevent some organizations from adopting K8s. In this article, we’re discussing these challenges in-depth and offering a surefire solution that will prove just how beneficial Kubernetes adoption can be to your organization.
1. Allocating and Reallocating Resources is Challenging
According to Pepperdata, 29.8% of organizations are hesitant to adopt Kubernetes for fear of the need to reallocate resources. Often, it can be challenging to optimize resource allocation to efficiently monitor and manage your Kubernetes clusters. We get that — fine-tuning your K8s clusters manually is hardly efficient and difficult to scale.
There are innovative technologies that enable DevOps professionals to easily monitor and manage K8s implementation. For example, a single Kubernetes Container-Native Data Services Platform that is built for and optimized to run in Kubernetes can provide your DevOps teams with a one-stop-shop for all your K8s needs.
With unique features and capabilities, DevOps organizations can leverage container-native platforms to boost:
- Enterprise data services availability
- DevOps performance
- Data protection, recovery, replication
- Data deduplication
- Scalability and extensibility
K8s is cost-effective, and with the right technology to support it, frees up resources and staff so that your top developers can spend their time in value-adding activities that drive the business forward.
2. Scaling Kubernetes Seems Difficult
Another reason organizations are apprehensive about Kubernetes adoption is the potential scaling difficulties. In fact, 14.6% of Pepperdata’s survey respondents are worried about adopting K8s due to the complexity perceived with scaling. With the right technology to support your Kubernetes adoption, you’ll be able to infinitely expand your data storage capacity as your data grows. As your data and organization expand, so will your Kubernetes data storage capabilities.
With technology like a Data Services Platform for Kubernetes that provides near-infinite capacity and performance, you’ll be able to relocate and access data throughout space and time. Now, you can burst databases across clusters and clouds in 40 seconds with zero downtime.
Check out our infographic, The Before vs. After When Implementing ionir’s Kubernetes Data Services Platform, to visualize how ionir moves, copies, and clones data in 40 seconds or less.
3. There’s a Learning Curve to Kubernetes Adoption
Some organizations are nervous about Kubernetes adoption due to the skill set required to monitor and manage K8s. Out of this fear grows DevOps teams that inhibit their own success by believing that it would take too long to ramp up a member of their team to become an expert. We’re here to debunk this myth.
Yes, moving to K8s will cause a shift in the way your DevOps is run — there’s no denying that. But the truth of the matter is that the key to adopting K8s is to practice in an environment that’s as close to production as possible. With a Data Services Platform for K8s, even citizen developers can learn to implement K8s throughout the enterprise without fear of corrupting an entire data set.
For example, you can leverage K8s containers to test in isolation while you and your team are developing your K8s skills. If the data in a container crashes or a developer makes a mistake causing the container test to fail, only this container will be affected by the corruption. Even if one container fails, other containers running on the same operating system are not affected and will continue to perform as usual.
Final Thoughts
Kubernetes adoption is no longer a luxury or, to be frank, an option. In order to stay competitive, organizations must prioritize and develop a plan to implement K8s into their DevOps pipeline. We’re here to help.
Make an impactful and necessary change in your organization — start your free trial of ionir to jumpstart your Kubernetes adoption.
