arrow_back Debugging your Serverless application
Resource allocation -- The usuals and beyond
Submitted by srujan akumarthi (@acsrujan) on Monday, 6 November 2017
Section: Crisp talk Technical level: Intermediate
1. Keeping the costs low, while increasing the infrastructure.
2. Measuring micro-services’ independent costs. Metrics to look at and understanding how application is using resources.
3. Designing infrastructure with ability to auto-scale.
4. Infrastructure coding – the essentials.
First 5 minutes: Assumptions of the applications running behind. Key metrics to be observed per application; Setting up all the requirements.
Next 5 minutes:
What’re the metrics to look at, how to measure them and how to validate your decision of allocation.
Recommended infrastructure code practices.
Handling production failures due to under-provision and how to solve the incident quickly.
Next 2 minutes: Buffer for above topics.
Next 3 minutes: QnA.
I’m submitting for 15 minutes. However, if the organizers consider topic to be good for 30 minutes, I can expand topics.
I’ve worked with AWS and Google Cloud for the past 3 years and developed various strategies, to minimise manual interruption on managing cloud infrastructure.
WebEngage, where I currently work, handles communication and engagement of > 45 million users. Having this scale on several microservices and calculating how much each micro-service is costing us, to find out ROI, made me experienced in understanding the requirements and nearly automate the resource allocation.