How Adauris optimized cloud costs

How we've trimmed our Cloud Costs by 30K+ 💰 at my startup, Adauris 💸🚀 As CTO of Adauris, I'm always looking for ways to optimize our cloud infrastructure and maximize our budget. Recently, we implemented a series of cloud and cost optimization patterns that have yielded significant results: over $30,000 in annualized savings at our current scale (meaning at current utilization so if this took into account future growth this number would be larger but for transparency sake using current utilization seems more tenable to share about)! Here's a tl;dr overview at the strategies that made a difference: - Right-sized workloads: Re-deployed resources to lower-resource VMs, cloud-specific solutions for optimal performance at a lower cost. This included streamlining container sizes, optimizing CPU and memory allocation, and exploring alternative serverless options. - Eliminated waste: Regularly reviewing and shutting down underutilized resources is like finding money you didn't know you had! - Consolidated services: Merged APIs and microservices for better efficiency and reduced redundancy. - Smart data storage: Leveraged cold storage for less frequently accessed data, cutting down on expensive standard storage costs. - Leveraged free credits: Utilized credits from multiple cloud providers (such as AWS, Digital Ocean, etc) strategically, creating a round-robin strategy for workloads. - On free credits across providers => to my fellow startup CTOs - design your workloads to be cloud provider agnostic via containerizing them, etc. it'll pay massive dividends down the road when you need to throw them up else where - otherwise a vendor locked-in solution will significantly decrease your speed. - Reduced Logging costs: By simply removing unnecessary console logs around the stack across our microservices this saved over $400 a month alone from log, storage, etc costs associated with it, and it now costs $7 per month but our level of observability has not gone down. -Optimized runtimes: Switched to Bun.sh for certain workloads, achieving 150% more efficient CPU utilization than Node.js.(this is an early and smaller one but I plan to post on this exciting one separately). These changes have not only saved us a substantial amount of money, but they've also allowed us to invest more in our core business goals. This is just the beginning and I've only named a few top things we've done. We're continuously exploring new ways to optimize our cloud footprint, and I'm excited to see how much further we can push our cost savings. What are your biggest cloud cost challenges? More than happy to chat with my network to see how I can help! #CloudOptimization #CostSavings #Startup #Tech #Efficiency #Savings #Adauris #gcp #CTO