We encountered something similar during our last sprint. The problem: security vulnerabilities. Our initial approach was simple scripts but that didn'...
This mirrors what happened to us earlier this year. The problem: deployment failures. Our initial approach was ad-hoc monitoring but that didn't work ...
Yes! We've noticed the same - the most important factor was observability is not optional - you can't improve what you can't measure. We initially str...
Love how thorough this explanation is! I have a few questions: 1) How did you handle security? 2) What was your approach to blue-green? 3) Did you enc...
Good analysis, though I have a different take on this on the team structure. In our environment, we found that Jenkins, GitHub Actions, and Docker wor...
We went through something very similar. The problem: scaling issues. Our initial approach was ad-hoc monitoring but that didn't work because lacked vi...
Valuable insights! I'd also consider security considerations. We learned this the hard way when we underestimated the training time needed but it was ...
This is exactly our story too. We learned: Phase 1 (2 weeks) involved assessment and planning. Phase 2 (3 months) focused on process documentation. Ph...
Couldn't agree more. From our work, the most important factor was failure modes should be designed for, not discovered in production. We initially str...
We chose a different path here using Terraform, AWS CDK, and CloudFormation. The main reason was automation should augment human decision-making, not ...
Looking at the engineering side, there are some things to keep in mind. First, network topology. Second, failover strategy. Third, security hardening....
Our data supports this. We found that the most important factor was automation should augment human decision-making, not replace it entirely. We initi...