Operations | Monitoring | ITSM | DevOps | Cloud

You groan. Perhaps not audibly, but your eyes widen and then slowly shut with dread. After a lucky streak of merging feature branches without incident, you finally hit a Git merge conflict. Unsure of where to start, you sheepishly bring up Slack and direct message a plea for help. Maybe this has been you, or maybe you’ve just seen it happen. Either way, it means spending time untangling the code by yourself, or with the sympathetic assistance of another.

In today's digital age, the internet and computer technologies have become a part of our lives. Organizations are moving their applications to the cloud to gain benefits of flexibility and lower costs. Heroku and AWS are two popular cloud service providers. AWS is a cloud services platform offering computing power, database storage, content delivery, and many other functionalities. Users can choose individual features and services as required.

The life of a developer these days is more complicated than ever, as they are increasingly required to expand their knowledge across the stack, understand abstract concepts, and own their code end-to-end. A major (and very frustrating) part of a developer’s day is dedicated to fixing what they’ve built – scouring logs and code lines in search of a bug. This search becomes even harder in a distributed Kubernetes environment, where the number of daily changes can be in the hundreds.

To work efficiently, the client and server exchange information on a regular basis. A webserver typically employs reverse proxies. A client sees a reverse proxy or gateway as if it were a regular web server, and no extra configurations are required. The client sends standard requests to the reverse proxy, which then determines where to send the data, providing the final result to the client as if it were the origin.

IT infrastructures are constantly evolving, meaning conventional management processes have become outdated and inadequate to tackle complex IT issues. A study by ESG found that 75% of IT decision-makers admit that complexity of IT infrastructures has increased drastically from two years ago. This rapid surge in complexity has disrupted admins’ understanding of network behavior and decreased the chances of foreseeing unanticipated network issues.