Performance analysis is crucial for understanding and optimizing the behavior of complex computing systems. As systems grow in scale and complexity, especially in the contexts of cloud computing, distributed systems, and big data, performance bottlenecks and inefficiencies become harder to identify and address without a systematic approach.
This meetup would help the participants get started with understanding and analyzing standalone and distributed system with opensource tools.
We would like to over the following topics in our meetup:
1. Understanding basics of System Performance and its significance.
2. Running Performance benchmarking on distributed systems / kubernetes cloud with kubeburner.
3. Practical analysis of live system performance using tools and dashboards (grafana)

Public cloud usage is increasing daily, with many organizations adopting public clouds for their workloads, this trend often results in the creation of numerous resources that go unused or are forgotten to be deleted, leading to cost leakage and resource quota issues. This presentation will focus on identifying and pruning unused resources, ensuring they remain within the resource quota, and mitigating cost leakage.

We have implemented several pruning policies in the cloud governance automation framework. During resource monitoring, we found that most of the cost leakage comes from available volumes, unused NAT gateways, and unattached Public IPv4 addresses (Starting from February 2024, public IPv4 addresses will be chargeable whether they are used or not). Without automation, it is unreliable and impossible to control these unused resources effectively.