How can you troubleshoot cloud orchestration and automation performance issues?

1 Identify the root cause

The first step in troubleshooting any performance issue is to identify the root cause. This means finding out what component, process, or configuration is causing the problem, and how it affects the rest of the system. You can use various methods to identify the root cause, such as monitoring, logging, tracing, debugging, and testing. For example, you can use cloud-native or third-party monitoring tools to collect and analyze metrics, alerts, and events from your cloud resources, orchestration engines, and automation scripts. You can also use logging tools to capture and search the output of your orchestration and automation tasks, and tracing tools to track the flow and dependencies of your cloud services.

2 Isolate the impact

The next step in troubleshooting is to isolate the impact of the performance issue. This means determining the scope and severity of the problem, and how it affects your users, customers, and business objectives. You can use various methods to isolate the impact, such as benchmarking, baselining, profiling, and auditing. For example, you can use benchmarking tools to measure and compare the performance of your cloud services before and after the issue. You can also use baselining tools to establish and monitor the normal performance levels of your cloud resources, orchestration engines, and automation scripts. You can also use profiling tools to identify and optimize the bottlenecks, hotspots, and resource consumption of your cloud services. You can also use auditing tools to verify and report the compliance and security of your cloud orchestration and automation processes.

3 Implement the solution

The final step in troubleshooting is to implement the solution that resolves or mitigates the performance issue. This means applying the appropriate changes, fixes, or improvements to your cloud resources, orchestration engines, or automation scripts. You can use various methods to implement the solution, such as patching, updating, scaling, tuning, and refactoring. For example, you can use patching tools to apply the latest security and bug fixes to your cloud resources, orchestration engines, and automation scripts. You can also use updating tools to upgrade your cloud resources, orchestration engines, and automation scripts to the latest versions or features. You can also use scaling tools to adjust the capacity and availability of your cloud resources, orchestration engines, and automation scripts according to the demand and load. You can also use tuning tools to optimize the performance and efficiency of your cloud resources, orchestration engines, and automation scripts. You can also use refactoring tools to redesign and restructure your cloud services, orchestration engines, and automation scripts to improve their quality and maintainability.

4 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?