Let’s be real—not all system components are created equal when it comes to optimization. The obsession with micro-optimizations (like tweaking code or compressing files) often distracts from the real resource hogs: inefficient databases, bloated middleware, and over-provisioned infrastructure. Start by tackling the low-hanging fruit: audit your database queries, streamline your APIs, and right-size your cloud resources. These areas often deliver the biggest bang for your buck. Stop sweating the small stuff and focus on the components that actually move the needle. Sometimes, the best optimization is knowing where to look.

I’d start with the highest-impact areas: inefficient code, database performance, and server resource allocation. Optimizing these first can significantly reduce load, improve speed, and cut costs. Then, I'd refine caching strategies and remove unnecessary background processes to maximize efficiency.

I’d start by targeting high-energy users for upgrades, streamlining resource-heavy processes without compromising quality, and prioritizing components with frequent upgrades or high maintenance costs.

To cultivate continuous learning and analytics adoption, prioritize high-impact optimizations over minor tweaks. Focus on auditing databases, streamlining APIs, and right-sizing infrastructure for substantial gains, rather than obsessing over trivial code changes. Effective optimization means targeting the core resource hogs, not just the low-hanging fruit.

Compute resources->Right size instance, auto-scale, consider to use spot instances. Storage --> Compression, store frequently accessed data on fast storage and less frequently used data in slower one. Network-->Use CDN, Cache. Monitor->Monitor the consumption.