Cloud & DevOps

Infrastructure that ships fast and scales without surprises.

We design and implement cloud infrastructure, CI/CD pipelines, and MLOps platforms for AI-first companies - cutting deployment cycles and improving infrastructure efficiency while improving reliability.

AWS / GCP / AzureKubernetesTerraformMLOps

Talk to a DevOps engineer

Faster

Deployment cycles

Leaner

Infrastructure, less manual overhead

High

Uptime, engineered as an SLA target

Rapid

Mean time to deploy, minutes not hours

What we deliver

Cloud Architecture

Infrastructure design for AWS, GCP, and Azure - including multi-region, multi-account setups, resource optimisation, and cloud-native architecture for AI workloads.

CI/CD Pipelines

Automated build, test, and deployment pipelines using GitHub Actions, GitLab CI, and ArgoCD - enabling multiple production deployments per day with zero-downtime deploys.

Kubernetes & Container Orchestration

Production Kubernetes clusters on EKS, GKE, and AKS - with autoscaling, resource quotas, pod disruption budgets, and GitOps-driven deployments.

Infrastructure as Code

Terraform and Pulumi for reproducible, version-controlled infrastructure. Modular designs that scale from single-region startups to multi-cloud enterprise setups.

MLOps Infrastructure

Model serving infrastructure (Triton, Ray Serve, KServe), model registries, experiment tracking (MLflow, W&B), and automated retraining pipelines.

Observability & Security

Full-stack observability with Datadog, Grafana, and OpenTelemetry. Security scanning in CI, secrets management (Vault / AWS Secrets Manager), and SOC 2 readiness.

Engagement model

From audit to production infrastructure

Infrastructure audit

Review your current cloud usage, architecture, CI/CD maturity, and security posture. Identify gaps and quick wins.

Architecture design

Design target-state infrastructure - IaC modules, cluster topology, network layout, and IAM model.

Pipeline setup

Build CI/CD pipelines with automated testing, container builds, and GitOps-driven deployment to staging and prod.

Hardening

Security scanning, secrets management, RBAC, usage alerting, and SLO-based autoscaling configuration.

Handoff & runbooks

Full documentation, on-call runbooks, dashboard walkthroughs, and optional ongoing retainer support.

A better way to ship

Manual ops vs. what we build

Without modern DevOps

Deployments require SSH access and manual steps

Environment drift - staging and prod behave differently

Infrastructure defined in wikis, not code (and out of date)

No observability - you learn about outages from users

Cloud usage grows unpredictably with no visibility

Database migrations done manually under pressure

With StartxLabs

✓

Push to main → automated test → deploy to prod in < 5 min

✓

IaC with Terraform: environment parity guaranteed

✓

Version-controlled infrastructure with PR review and audit trail

✓

Full observability: traces, metrics, logs, and alerting before users notice

✓

Usage dashboards with anomaly alerts and rightsizing recommendations

✓

Migration tooling with rollback procedures and zero-downtime patterns

Technology

Tools and platforms we work with

Cloud providers

AWSGCPAzureCloudflare WorkersFly.ioRender

Container & orchestration

DockerKubernetesEKSGKEAKSHelmArgoCDKustomize

Infrastructure as code

TerraformPulumiAWS CDKTerragruntOpenTofu

CI/CD

GitHub ActionsGitLab CICircleCIBuildkiteTektonArgo Workflows

Observability

DatadogGrafanaPrometheusOpenTelemetryJaegerPagerDutySentry

MLOps

MLflowWeights & BiasesRay ServeTriton InferenceKServeKubeflowBentoML

Common questions

FAQ

We're on AWS but considering migrating to GCP - can you help?

Yes. We've run multi-cloud migrations and cloud-to-cloud moves. We start with a capability analysis, map your workloads, then execute the migration in phases with zero-downtime cutovers. We handle DNS, data replication, IAM parity, and monitoring switchover.

Do you work with teams that already have some infrastructure in place?

Most of our engagements are brownfield - existing infra, some CI/CD, inconsistent IaC coverage. We run an audit first, identify the highest-leverage improvements, and evolve your infrastructure without requiring a full rewrite or downtime.

What's the difference between your MLOps offering and standard DevOps?

MLOps adds model-specific concerns on top of standard DevOps: model versioning, experiment tracking, training pipeline orchestration, model serving infrastructure (GPU autoscaling, batching, latency SLOs), and automated retraining triggers when data drift is detected.

How do you handle secrets and access credentials?

We never store secrets in code or environment variables. We implement HashiCorp Vault or AWS Secrets Manager / GCP Secret Manager depending on your cloud, with dynamic credentials where possible, short-lived tokens, and RBAC policies that follow least-privilege principles.

What does an ongoing retainer look like?

Typically 2–4 days per month: on-call escalation support, monthly infrastructure reviews, resource optimisation recommendations, Kubernetes version upgrades, and Terraform module maintenance. We become your on-demand platform engineering team without the full-time hire.

Ready to build your
next digital product?

Whether you have a detailed specification or just an early idea - we'll help you scope it, challenge the assumptions, and deliver it on time. No pitch decks. Straight to the point.

Get in Touch See Our Work

What happens next

Send us a message

Tell us what you're building or what's broken.

Discovery call (30 min)

We ask hard questions. You get honest answers.

Scoped proposal

Clear deliverables, timeline, and team in 48 hours.

Tell us about
your project

Whether you have a detailed brief or just an early idea, we will help you scope it, challenge it, and ship it.

Agentic AI development and multi-agent systems

Generative AI consulting and LLM integration

RAG development and custom model deployment

Data engineering, MLOps and custom software

Cloud & DevOps

Infrastructure that ships fast and scales without surprises.

AWS / GCP / AzureKubernetesTerraformMLOps

Talk to a DevOps engineer

Faster

Deployment cycles

Leaner

Infrastructure, less manual overhead

High

Uptime, engineered as an SLA target

Rapid

Mean time to deploy, minutes not hours

What we deliver

Cloud Architecture

Infrastructure design for AWS, GCP, and Azure - including multi-region, multi-account setups, resource optimisation, and cloud-native architecture for AI workloads.

CI/CD Pipelines

Automated build, test, and deployment pipelines using GitHub Actions, GitLab CI, and ArgoCD - enabling multiple production deployments per day with zero-downtime deploys.

Kubernetes & Container Orchestration

Production Kubernetes clusters on EKS, GKE, and AKS - with autoscaling, resource quotas, pod disruption budgets, and GitOps-driven deployments.

Infrastructure as Code

Terraform and Pulumi for reproducible, version-controlled infrastructure. Modular designs that scale from single-region startups to multi-cloud enterprise setups.

MLOps Infrastructure

Model serving infrastructure (Triton, Ray Serve, KServe), model registries, experiment tracking (MLflow, W&B), and automated retraining pipelines.

Observability & Security

Full-stack observability with Datadog, Grafana, and OpenTelemetry. Security scanning in CI, secrets management (Vault / AWS Secrets Manager), and SOC 2 readiness.

Engagement model

From audit to production infrastructure

Infrastructure audit

Review your current cloud usage, architecture, CI/CD maturity, and security posture. Identify gaps and quick wins.

Architecture design

Design target-state infrastructure - IaC modules, cluster topology, network layout, and IAM model.

Pipeline setup

Build CI/CD pipelines with automated testing, container builds, and GitOps-driven deployment to staging and prod.

Hardening

Security scanning, secrets management, RBAC, usage alerting, and SLO-based autoscaling configuration.

Handoff & runbooks

Full documentation, on-call runbooks, dashboard walkthroughs, and optional ongoing retainer support.

A better way to ship

Manual ops vs. what we build

Without modern DevOps

Deployments require SSH access and manual steps

Environment drift - staging and prod behave differently

Infrastructure defined in wikis, not code (and out of date)

No observability - you learn about outages from users

Cloud usage grows unpredictably with no visibility

Database migrations done manually under pressure

With StartxLabs

✓

Push to main → automated test → deploy to prod in < 5 min

✓

IaC with Terraform: environment parity guaranteed

✓

Version-controlled infrastructure with PR review and audit trail

✓

Full observability: traces, metrics, logs, and alerting before users notice

✓

Usage dashboards with anomaly alerts and rightsizing recommendations

✓

Migration tooling with rollback procedures and zero-downtime patterns

Technology

Tools and platforms we work with

Cloud providers

AWSGCPAzureCloudflare WorkersFly.ioRender

Container & orchestration

DockerKubernetesEKSGKEAKSHelmArgoCDKustomize

Infrastructure as code

TerraformPulumiAWS CDKTerragruntOpenTofu

CI/CD

GitHub ActionsGitLab CICircleCIBuildkiteTektonArgo Workflows

Observability

DatadogGrafanaPrometheusOpenTelemetryJaegerPagerDutySentry

MLOps

MLflowWeights & BiasesRay ServeTriton InferenceKServeKubeflowBentoML

Common questions

FAQ

We're on AWS but considering migrating to GCP - can you help?

Do you work with teams that already have some infrastructure in place?

What's the difference between your MLOps offering and standard DevOps?

How do you handle secrets and access credentials?

What does an ongoing retainer look like?

Ready to build your
next digital product?

Whether you have a detailed specification or just an early idea - we'll help you scope it, challenge the assumptions, and deliver it on time. No pitch decks. Straight to the point.

Get in Touch See Our Work

What happens next

Send us a message

Tell us what you're building or what's broken.

Discovery call (30 min)

We ask hard questions. You get honest answers.

Scoped proposal

Clear deliverables, timeline, and team in 48 hours.

Tell us about
your project

Whether you have a detailed brief or just an early idea, we will help you scope it, challenge it, and ship it.

Agentic AI development and multi-agent systems

Generative AI consulting and LLM integration

RAG development and custom model deployment

Data engineering, MLOps and custom software

What we deliver

Cloud Architecture

Infrastructure design for AWS, GCP, and Azure - including multi-region, multi-account setups, resource optimisation, and cloud-native architecture for AI workloads.

CI/CD Pipelines

Automated build, test, and deployment pipelines using GitHub Actions, GitLab CI, and ArgoCD - enabling multiple production deployments per day with zero-downtime deploys.

Kubernetes & Container Orchestration

Production Kubernetes clusters on EKS, GKE, and AKS - with autoscaling, resource quotas, pod disruption budgets, and GitOps-driven deployments.

Infrastructure as Code

Terraform and Pulumi for reproducible, version-controlled infrastructure. Modular designs that scale from single-region startups to multi-cloud enterprise setups.

MLOps Infrastructure

Model serving infrastructure (Triton, Ray Serve, KServe), model registries, experiment tracking (MLflow, W&B), and automated retraining pipelines.

Observability & Security

Full-stack observability with Datadog, Grafana, and OpenTelemetry. Security scanning in CI, secrets management (Vault / AWS Secrets Manager), and SOC 2 readiness.

From audit to production infrastructure

Infrastructure audit

Review your current cloud usage, architecture, CI/CD maturity, and security posture. Identify gaps and quick wins.

Architecture design

Design target-state infrastructure - IaC modules, cluster topology, network layout, and IAM model.

Pipeline setup

Build CI/CD pipelines with automated testing, container builds, and GitOps-driven deployment to staging and prod.

Hardening

Security scanning, secrets management, RBAC, usage alerting, and SLO-based autoscaling configuration.

Handoff & runbooks

Full documentation, on-call runbooks, dashboard walkthroughs, and optional ongoing retainer support.

Tools and platforms we work with

Cloud providers

AWSGCPAzureCloudflare WorkersFly.ioRender

Container & orchestration

DockerKubernetesEKSGKEAKSHelmArgoCDKustomize

Infrastructure as code

TerraformPulumiAWS CDKTerragruntOpenTofu

CI/CD

GitHub ActionsGitLab CICircleCIBuildkiteTektonArgo Workflows

Observability

DatadogGrafanaPrometheusOpenTelemetryJaegerPagerDutySentry

MLOps

MLflowWeights & BiasesRay ServeTriton InferenceKServeKubeflowBentoML

FAQ

We're on AWS but considering migrating to GCP - can you help?

Do you work with teams that already have some infrastructure in place?

What's the difference between your MLOps offering and standard DevOps?

How do you handle secrets and access credentials?

What does an ongoing retainer look like?

Tell us about
your project

Whether you have a detailed brief or just an early idea, we will help you scope it, challenge it, and ship it.

Agentic AI development and multi-agent systems

Generative AI consulting and LLM integration

RAG development and custom model deployment

Data engineering, MLOps and custom software

Infrastructure that ships fast and scales without surprises.

What we deliver

Cloud Architecture

CI/CD Pipelines

Kubernetes & Container Orchestration

Infrastructure as Code

MLOps Infrastructure

Observability & Security

From audit to production infrastructure

Manual ops vs. what we build

Tools and platforms we work with

FAQ

Ready to build yournext digital product?

Tell us aboutyour project

Infrastructure that ships fast and scales without surprises.

What we deliver

Cloud Architecture

CI/CD Pipelines

Kubernetes & Container Orchestration

Infrastructure as Code

MLOps Infrastructure

Observability & Security

From audit to production infrastructure

Manual ops vs. what we build

Tools and platforms we work with

FAQ

Ready to build yournext digital product?

Tell us aboutyour project

Infrastructure that ships fast and scales without surprises.

What we deliver

Cloud Architecture

CI/CD Pipelines

Kubernetes & Container Orchestration

Infrastructure as Code

MLOps Infrastructure

Observability & Security

From audit to production infrastructure

Manual ops vs. what we build

Tools and platforms we work with

FAQ

Ready to build yournext digital product?

Tell us aboutyour project

Ready to build your
next digital product?

Tell us about
your project

Ready to build your
next digital product?

Tell us about
your project

Ready to build your
next digital product?

Tell us about
your project