The Grid
Your compute, from anywhere, working as one.
A short walk-through of a grid: where its machines come from, what Kinesis runs for you, and what your teams get once all of it works as one system. Play it with narration, or step through at your own pace.
Watch the intro · about 4½ minutes, with narration
The Kinesis Innovation
Most engineering teams no longer run on a single cloud. Capacity comes from wherever it could be found: a hyperscaler account, a neocloud with the right GPUs, a colo rack, servers already in the building. Each one brings its own console, its own network, its own bill and its own way to deploy, and the work of keeping them all running lands on the same few engineers. Machines sit idle in one place while another runs out, and nobody has the whole picture.
A Kinesis Grid brings all of it together into one system. Machines from any provider and any location join the same grid, including the hardware and credits you already pay for, alongside on-demand capacity from Kinesis. There is no cluster to assemble and no control plane for your team to run. Kinesis keeps every machine updated, manages its certificates, and keeps a private connection to each one, so you can manage it wherever it runs. It replaces machines that are lost. You don't open any inbound ports to manage them, even behind a firewall or NAT.
You deploy an app once, to the grid, and copies run wherever there is room. Traffic is balanced across them from the start. When a machine fails or a spot machine is reclaimed, traffic moves on while a replacement comes up. Logs from every machine, live and past, land in one place, and health checks warn you when something goes wrong. Debugging no longer means hopping between provider consoles.
A grid grows with the organization. Split it into sub-grids so each team or stage gets its own hardware and rules, and production stays protected from experiments. Or give each division its own grid. Share apps and grids with the people you choose, and let roles decide who can use, deploy or manage. All of it stays inside your company, never in a public multi-tenant cloud. When an experiment becomes the real thing, you assign it more machines. There's no migration project.
And because everything runs as one system, you can see it as one. Utilization and spend across every provider, project and app sit in a single view, so engineering, IT and finance work from the same numbers. Idle hardware becomes room for the next app instead of a line item nobody can explain. Your compute, from anywhere, working as one.