You’re using Kubernetes for a reason: It’s the go-to solution for deploying containerized apps in production. It brings so much promise, with the ability to reliably scale.
But after you use Kubernetes in production you start to see its complexity first-hand: There are so many new technologies, practices and ways of working you need to navigate to do it right.
The impact of the complexity spreads. It spreads to how secure your infrastructure is, how fast you deliver and the speed of recovery. Ultimately, if this complexity isn’t managed, your downtime is increased and your ability to scale is stifled.
55% of organizations said lack of in-house skills was the biggest challenge to adopting Kubernetes and containers. Kubernetes and Cloud-native Operations Report 2021
Inexperienced engineers aren’t going to cut it. So, you walk down the path of hiring a team of experts…
Finding the skills
There’s steep competition for quality, proven engineers with Kubernetes experience, with nearly half (46%) of IT decision-makers saying that they find it hard to attract the right talent to help manage their clouds.
Affording the skills
The majority of top engineers get swooped up by organizations where they can expect to drive high impact, or banks and other financial institutions where they can afford larger salary brackets.
Retaining the skills
The high demand means that not only are these engineers hard to find and expensive to employ, but they’re also hard to retain. If the environment, or the salaries, aren’t right – they won’t stick around for long.
Bridging the skills gap with tooling
Regardless, the problem of solving Kubernetes’ complexity is still there, which is why the chasm of the ‘Kubernetes skills gap’ is so far-reaching. You need an alternate way to solve the problems it’s created.
Tools that provide best practices, automation, and safeguards allow teams to learn at a slower pace and diminish the risk of not being able to hire the right people.
Appvia Wayfinder is your Kubernetes team in a box. Administrators can pre-define policies so resources are created with a uniform set of capabilities. Intuitive automation and a consolidated view mean there’s no need to increase staff when you increase the number of clusters.
