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DevOps, Cloud & MLOps

Ship daily, sleep at night, and know exactly what the cloud bill pays for.

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Overview

We build platforms that make releases routine: automated pipelines, infrastructure as code, container platforms and observability that shows problems before customers do. For AI workloads we add MLOps and LLMOps: model and prompt versioning, evaluation gates, GPU and inference cost control, and tracing for every model call.

Challenges we solve

  • Manual, risky deployments that slow the team down
  • Cloud bills that grow without anyone knowing why
  • Outages discovered by customers instead of alerts
  • AI models and prompts released with no versioning or rollback

What we deliver

DevOps, Cloud & MLOps capabilities

CI/CD pipelines

Automated build, test, security scan and deploy with preview environments and one-click rollback.

Infrastructure as code

Terraform or OpenTofu and GitOps for AWS, Azure, GCP and smaller clouds; every change reviewed and repeatable.

Kubernetes and containers

Right-sized container platforms, or simpler serverless options when Kubernetes is more than you need.

Observability and SRE

OpenTelemetry tracing, metrics, logs, SLOs and on-call runbooks.

FinOps and cost optimisation

Cost allocation by team and feature, rightsizing, reserved capacity and inference cost tuning.

MLOps and LLMOps

Model and prompt registries, evaluation gates in CI, inference serving and LLM tracing.

Process

How we work

  1. 01

    Audit

    Review pipelines, infrastructure, costs and incidents.

  2. 02

    Plan

    Target platform and a phased roadmap with quick wins first.

  3. 03

    Automate

    Pipelines, IaC and observability rolled out service by service.

  4. 04

    Run

    Ongoing operations, cost reviews and improvements.

FAQ

DevOps, Cloud & MLOps: common questions

What is LLMOps?

LLMOps applies DevOps practices to LLM applications: versioning prompts and models, running evaluations before release, tracing every call and controlling inference cost.

Can you reduce our cloud costs?

We start with a cost audit that shows where the money goes, then rightsize, remove waste and tune architecture. Savings depend on your setup, and we report them openly.

Related

Services that work well together

Managed IT, Cloud & Cybersecurity

Managed cloud and Microsoft 365 or Google Workspace, security hardening, backups, monitoring and IT support.

Learn more

Software Architecture & AI Readiness

Architecture reviews, cloud-native and event-driven design, legacy modernisation and AI readiness assessments.

Learn more

Generative AI & LLM Development

RAG systems, AI copilots and LLM-powered product features, built on your data and shipped with evaluation and monitoring.

Learn more

Ready to talk about devops, cloud & mlops?

Tell us about it. In a free 30-minute call we will tell you honestly what AI can do, what it costs and how fast you can see results.

Book a consultation hello@invigosol.com