Imagine you are hosting a lavish buffet and have prepared a wide variety of dishes. It is a common tendency of some guests at dinner parties to pile their plates with food, leaving little for others to consume. To ensure that everybody receives a fair share of food and that the buffet doesn’t run out too quickly, you decide to implement a “plate size restriction” policy.

In today's digital world, applications are the lifeline of businesses. They're the engines powering everything from e-commerce transactions (think adding items to your shopping cart) to internal communication tools (imagine sending a message to a colleague). Any glitch or outage in these applications can have a domino effect, impacting revenue, productivity, and even brand reputation.

The code insights functionality in Bitbucket Cloud provides a variety of reports, annotations, and metrics to help your team have full context during the code review process. With code insights, you can automatically have artifacts such as static analysis reports, security scan results, artifact links, unit test results, and build status updates appear in your pull request screen so reviewers have access to all reports and statuses before they approve the code change.

DevOps engineers play a vital role in modern software organizations, helping to bridge the gap between software development and IT operations. DevOps is a cultural and technical approach that emphasizes collaboration, automation, and continuous integration and delivery (CI/CD). DevOps engineers are responsible for implementing and supporting these practices to improve efficiency, enhance software quality, and accelerate delivery times.

Missing performance data or statistics on dashboards or reports is always troublesome and could be critical. Let’s say you and your IT team recently added a new server to handle your growing graphics department. First thing in the morning, you hop on your IT operations dashboard to check CPU Utilization. Yikes! No performance data. You check your recent server report and find nothing there, either.

Using Apache Zipkin is important because it provides detailed, end-to-end tracing of requests across distributed systems, helping to identify latency issues and performance bottlenecks. Monitoring your Zipkin environment is crucial to ensure the reliability and performance of your tracing system, allowing you to quickly detect and address any anomalies or downtime.