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FOUR common pitfalls to avoid when defining your DevOps solution

Common pitfalls:

1. Keep a “prime” instance in a symmetric/elastic cluster. This common happens for

singular periodic tasks, special file/api servers, cluster managers. This pattern goes

against elasticity and holds back the development in many cases, in addition to being

hard to track in production. There are several solutions here, depending on the

specific starting from breaking to two clusters (singleton and elastic) to message queues

and other approaches.

2. Keeping the configuration for prod/test/dev/int in the same source control as the

deployed operation. This is very comfortable for small early stage teams and cripples

the ability to adjust in production when needed (not to mention security aspects).

3. Putting Cloud credentials in SCM or on the machines them selves. Other than being a

security problem this complicate changes to the system.

4. Unfitted access control to the production/cloud systems: either prevent access for fear

of damages or absorb downtime b/c of unsupervised access. One approach is to create

canned remote access and operations to the system that permits every employee to get

the data they require but cap the potential damage by creating automated remote

access to execute those operations only.