async function deployPipeline(config) {
  const { env, region, replicas } = config;
  await k8s.apply({ namespace: env, region });
  return scale({ replicas });
}

interface AIModel {
  endpoint: string;
  temperature: number;
  stream: boolean;
  invoke(prompt: string): Promise<Response>;
}

SELECT u.id, u.email,
  COUNT(s.id) AS sessions,
  SUM(r.revenue) AS mrr
FROM users u
JOIN sessions s ON s.user_id = u.id
JOIN revenue r ON r.user_id = u.id
GROUP BY u.id
ORDER BY mrr DESC;

const pipeline = [
  vectorize(embedding_model),
  retrieve(top_k=8),
  rerank(cross_encoder),
  generate(llm, temperature=0.3),
];

@app.route("/api/v2/infer")
async def infer(req: InferRequest):
    model = await load_model(req.id)
    return await model.predict(req.input)

export const config = {
  regions: ["us-east-1","eu-west-1"],
  autoscale: { min: 2, max: 50 },
  healthCheck: "/api/health",
  timeout: 30_000,
};

class NeuralEngine:
  def __init__(self, layers, lr=1e-4):
    self.model = build(layers)
    self.optim = AdamW(lr=lr)

  def fit(self, X, y, epochs=100):
    for e in range(epochs):
      loss = self.step(X, y)

mutation CreateDeployment($input: DeployInput!) {
  createDeployment(input: $input) {
    id
    status
    endpoint
    createdAt
  }
}

CLOUD INFRASTRUCTURE

Cloud Migrations & SRE Systems

Deploy serverless pipelines and high-availability database replication layers on AWS and Google Cloud with high SLA targets.

Cluster Pod TopologyHigh SLA Uptime

Active Pod Replicas12 / 12 Healthy

Cluster Load42% CPU

Core Benefits

Serverless Deployment

Scale cluster nodes up or down automatically in response to request triggers.

Decoupled Pipelines

Maintain microservice reliability using distributed message queues.

Load Balancing

Route static payloads and serverless triggers through distributed CDN networks.

Our Technology Stack

AWSGoogle CloudKubernetesTerraformDockerSRE Tools

Frequently Asked Questions

What is your default cloud provider?

Do you support multi-cloud failovers?