AVOID BUSINESS-CRIPPLING DOWNTIME AND SECURITY VULNERABILITIES
A question that often comes up in enterprise software organizations is: What happens when open source software (OSS) doesn’t work? Whether it’s confusion building out a server stack or panic during a system outage, the best that IT leaders and developers can hope for is that they’ve planned and prepared just enough to get over this hurdle and realize that they must prepare for the next.
The challenges with selecting, deploying, and maintaining open source software today are vastly different when compared to just a few years ago. Back then, it was a matter of choosing one of a limited number of packages that solved a particular problem, learning about it, and getting it to work in a known environment.
Today, it takes a team of architects, developers, administrators, security professionals, and more to work through everything from IT policy and security to debugging across a complex stack and dealing with on-site vs. SaaS/PaaS deployments. That’s why job candidates today list as many skills as possible. Also, this is why employers dig deep to find that perfect candidate with enough knowledge about all the packages deployed in their system.
For organizations committed to adopting open source, here are seven key questions to think about when determining how effective current strategy is against common hurdles.
Who will support your OSS implementation?
An IHS Markit survey of 400 medium to large-sized organizations revealed that enterprises see an average of five downtime events per month, costing between $1M and $60M per year, depending on the size of the business. It’s challenging to ensure users get the best possible experience and prevent them from clicking away. Especially when it’s coupled with performance lags and scalability issues.
When an issue occurs, whether in development or production, teams usually rely on these remediation methods:
- Publisher support
- Community support
All of these methods rely on the hope that the right skills are available. And also if they’re dedicated to your problem until it’s solved. Minimizing the time between problem detection and resolution is critical. Yet all methods require the expertise to understand your entire stack and environment. How much time getting up to speed versus implementing a fix?
A recent ClusterHQ survey provides a hint:
43% of application developers spend 10-25% of their time debugging errors discovered in production, rather than developing new features.
This guide will help you with what to consider for training. And also, what support roles to have in place before problems turn-up. Prepare and be confident in your ability to support your OSS long-term – and when things don’t go as planned.