As IT projects become more complex and large scale, disasters can occur due to various technical issues. In a recent incident, one of our developers encountered an unfortunate incident when working on an enterprise project.
The project was deployed on a distributed system, which had several services running in parallel. One of the services required Redis, an in-memory data structure store, for caching the data. The developer had included Redis as one of the required packages for the project and it was working perfectly fine during testing. But suddenly, one day when the project went live, the Redis package went missing.
It was surprising, as nothing had been changed in the infrastructure or configuration. We verified the configuration and installed the package again, but nothing worked. We then tried debugging the issue using Redis logs and found out that the Redis package was actually overwritten because of a corrupt file due to the unexpected and sudden spike in the load on the system.
This incident was a great lesson for all of us involved in the project, and since then, we have taken proactive steps to ensure that it doesn’t happen again. We implemented a backup and disaster recovery plan, which includes regular system checks and maintaining multiple nodes for critical services to ensure redundancy. We also implemented clustering for our application services and implemented caching strategies to reduce the load on the system.
To reduce the risk of similar problems from happening in the future, we also automated our installation and deployment process to ensure that any changes to the system configuration are automatically tested, documented, and deployed. We also regularly check the system and the network for anomalies and ensure that the data is securely stored and accessed.
Overall, we were able to learn from our mistakes and were able to make sure that similar issues don’t happen in the future. We now have improved security and robustness in our system, which ensures that our projects are safe and secure.