Firms choosing Kubernetes face unexpected challenges; if left untreated, it can hamper implementation. These factors limit the success of deployments and hinder the overall adoption process.
1. Lack of K8s Operations
The K8s’ complexities can lead to ineffective container and cluster operations. While these are robust technologies, developers must efficiently manage and scale to deploy them to many providers.
Weak K8s operations often result from generic CI/CD workflows. This happens because they were not optimized for the specific apps and development processes.
2. Lack of DevOps and K8s Expertise
Due to the intricacy of K8s, developers often adopt containers without understanding DevOps. This limits the potential success of the implementation.
Without good knowledge and hands-on experience, the depth of operational insights and speed of incident remediation are also hampered. This leads to productivity losses, outages, or worse.
3. Security Gaps
With K8s, securing CI/CD pipelines, clusters, and networks at scale becomes hard without the right tooling, resources, and expertise.
The deployments must have proactive security. This includes vulnerability reporting, container image scanning, namespace monitoring, and conformance and security audits.
4. Minimal Developer Focus
With K8s, developers must adhere to different development processes, learn to work with YAML manifest and config files and support their apps in production. K8 deployments can be extremely time-consuming to run and manage.
This often impedes the developers’ focus, leading to poor productivity, slower innovations, and slower time to market.
Also Read: Navigating Kubernetes Costs: Practical Tips for Real-World Deployments
5. Developer Burnout
While many developers vent about overwork and burnout, many are overwhelmed with learning K8s and managing their daily tasks simultaneously.
To address this issue, firms must plan to eliminate the burden of infrastructure deployment and operations from application developers.
Read More: 5 challenges that can put your Kubernetes deployments at risk
