When AWS goes down, it’s not just a cloud issue — it’s an architecture issue. Resilience isn’t something you buy from a vendor; it’s something you design into your systems. At Meroxa, we’ve built our platform (and Prod) around that principle — enabling real-time data, deploys, and failover across any cloud. Your stack should move faster than your outage. 👉 pushtoprod.ai
The AWS outage on Monday showed what most of us already know but rarely act on: when your uptime depends entirely on one vendor’s control plane, your SLAs are a wish, not a guarantee. Resilience isn’t something you buy from AWS, Azure, GCP, or any vendor it’s something you engineer. Multi-cloud isn’t magic; it’s discipline. You trade vendor convenience for operational independence and that only works if you design for replication, parity, and orchestration from day one. Here’s what that looks like in practice 👇 1️⃣ Abstract state early Your database is what usually locks you in. Keep it portable and replicable. Use Postgres with logical replication, or distributed SQL systems like CockroachDB or Yugabyte that can mirror data across clouds. If you must use managed RDS-style databases, stream or dump changes to object storage (Cloudflare R2, GCS) for cold-standby recovery. Avoid provider-specific IAM in app code; use OIDC tokens or Vault for identity abstraction. 2️⃣ Make compute disposable Everything that isn’t state should be ephemeral and rebuildable. Package with Docker or Buildpacks no provider-specific runtimes. Keep build and run steps identical across clouds using `docker buildx bake` or multi-arch manifests. Include health and readiness probes so failover validation works everywhere. 3️⃣ Decouple configuration and secrets Your deploys shouldn’t break because an env var lives in one vendor’s secrets manager. Store config in portable formats (`.env`, 1Password, Doppler, Vault). Reference by key, not file path; keeps parity across AWS, Fly, Render, and Vercel. Rotate credentials outside your deploy tool; Prod can inject and validate automatically. 4️⃣ Make the edge your control plane DNS and routing should never live inside the same cloud you’re failing over from. Use Cloudflare, Akamai, or NS1 for weighted or geo-based routing. Cache static assets globally to survive origin downtime. Let routing policies handle user redirection when a region or provider goes dark. 5️⃣ Mirror deploy logic, not infrastructure Terraform across clouds quickly turns into YAML origami. Instead, aim for deployment symmetry identical build artifacts, consistent runtime environments, and a single declarative spec describing where and how to deploy. This outage wasn’t about AWS being unreliable. It was a reminder that resilience is earned, not inherited. Your deploys should move faster than your outages. Sign up for the beta 👉 https://pushtoprod.ai