The internet's infrastructure is controlled by three companies.
When they go down, everything goes down.
When they change pricing, you pay more.
When they receive a court order, your app goes offline.
We built an alternative.
NEW APP ALERT: n8n is now live on FluxCloud.🔥🔥🔥
Build AI agents, automate workflows and orchestrate your entire stack on decentralized infrastructure you control.
From simple automations to complex agentic workflows, n8n on FluxCloud is ready to scale with you.
You get 500+ integrations. Built-in PostgreSQL HA cluster. LLM and RAG support. Webhooks, APIs, databases, email, Slack, Notion, Gmail, and more.
Full setup guide:
docs.runonflux.com/fluxcloud/mark…
You can either pay with fiat or get 5% off when you use FLUX.
Choose the deployment that fits your workload:
Starter: perfect for personal projects and testing
Standard: built for production workflows and growing automation stacks
Pro: optimized for AI agents, heavy workloads, and advanced orchestration
Deploy now:
Did you know?
Teams with automated, branch-based deployment workflows have 7x lower change failure rates than teams using manual deployment processes, according to DORA state-of-DevOps research.
Deployment automation does not increase speed, it increases quality.
Why Failure Architecture Matters More Than Uptime Numbers.
Uptime SLAs are the metric every cloud provider leads with.
99.9%. 99.95%. 99.99%.
These numbers are real and meaningful. However, the more useful question is:
When something fails, what happens?
What this looks like on FluxCloud:
When a FluxNode goes offline, the network detects it within seconds. Workloads on that node are reallocated to available nodes.
The reallocation is automatic, and the failure is absorbed by the network.
Your application continues.
Reliable infrastructure isn't infrastructure that never fails.
It's infrastructure where failure is invisible to the workloads depending on it.
That's what FluxCloud offers.
Do You Know Where Your AI Tools Store Your Data?
This is genuine question to sit with as this week begins.
Your team uses AI tools. They generate real value, writing assistance, code generation, research acceleration, and meeting transcription.
They also accumulate data.
Beaver AI coming to FluxCloud processes meeting data on Flux's distributed node network.
There's no centralized database of your business conversations on a corporate server.
The question to take into this new week is:
For each AI tool your team uses regularly: do you know where the data goes, how long it's retained, and what the breach notification process looks like?
If not, it's worth finding out.
Reason 2: Scope creep before lift-and-shift.
The migration starts. Someone suggests, "While we're at it, we should modernize the architecture."
Before you know it, the migration is also a re-engineering project, and the timeline triples.
Reason 3: Risk aversion creates paralysis.
"We can't migrate production until we're 100% sure it works." 100% certainty requires running both environments indefinitely.
The cost of certainty exceeds the cost of staying.
Migrate faster.
Get on FluxCloud.