SenseDeep Lambda Studio Insights

SenseDeep has smart recommendations to assist you in tuning and optimizing your Lambda functions.

Consistently implementing serverless best-practices can be difficult and doing so in a constantly changing environment is challenging. As your load changes, the optimal cpu/memory configuration needs to change also. SenseDeep recommendations will provide feedback as to how you can improve your best-practices.

SenseDeep Insights will advise if:

• you can reduce allocated memory to save execution costs,
• should increase memory to reduce the risk of memory exhaustion,
• should increase your AWS concurrency limit to handle your peak load,
• should use reserved concurrency to ensure a function can scale effectively,
• have too many function cold starts which are impacting the user experience,
• are experiencing function throttling which is impacting performance,
• should increase the function timeout to prevent timeouts,
• should reduce the function timeout to reduce the risk of a run-away function, or
• should migrate the a heavily used function to EC2, EKS or Fargate to save execution costs.

Recommendation Engine

SenseDeep has a set of deep metrics to detect opportunities to optimize your function’s performance. Coupled with a set of best-practice rules, SenseDeep can provide guided recommendations to improve your Lambda services.