DevOps, AIOps & MLOps

Operate software and AI systems with confidence

From CI/CD and cloud infrastructure to smarter incident workflows and model monitoring, we help teams deploy, observe and improve the systems they depend on.

Discuss your operations

Reliable operations start with repeatable releases and visibility into what is happening. We build DevOps foundations, then add AIOps where telemetry can help people identify incidents sooner and MLOps where model-driven products need versioning, evaluation and ongoing review.

DevOps foundations

Repeatable delivery and dependable infrastructure.

CI

CI/CD pipelines

Automated build, test, and deployment pipelines using GitHub Actions, GitLab CI, or Jenkins.

IAC

Infrastructure as code

Reproducible infrastructure using Terraform or CloudFormation, instead of manual server setup.

CN

Cloud infrastructure

Architecture and management on AWS, Azure, and Google Cloud.

CTR

Containerization & orchestration

Docker and Kubernetes setups sized to your actual traffic, not over-engineered.

MON

Monitoring & alerting

Visibility into your systems with tools like Prometheus, Grafana, and CloudWatch.

SEC

Security & compliance

Secrets management, access controls, and hardened deployment pipelines.

Extend DevOps with AIOps and MLOps

Different needs, one disciplined operating model.

AIO

AIOps for IT operations

Bring logs, metrics and alerts into a useful view; assess anomaly detection, event grouping and incident triage where the data supports it. Define human approval before any automated remediation. Discuss an AIOps workflow.

MLO

MLOps for model-driven products

Version data and models, test deployments, monitor input and output behavior, and establish review steps for drift or retraining. The goal is an ML system that can be operated and audited, not just a model demo. Explore AI automation.

Why it matters

  • Ship features faster with automated, repeatable deployments
  • Reduce downtime with proper monitoring and alerting
  • Scale infrastructure predictably as traffic grows
  • Recover quickly from incidents instead of firefighting blind
  • Cut cloud costs by right-sizing infrastructure

Why choose Cigma Solutions?

  • DevOps built around your actual team size and traffic, not a generic template
  • Practical, incremental improvements rather than a risky big-bang migration
  • Clear documentation so your team can maintain what we build
  • Support available for ongoing operations, not just initial setup

Ready for more reliable operations?

Share your release process, operational pain points or ML deployment needs. We will help identify a practical first improvement.

Discuss DevOps, AIOps or MLOps

Frequently asked questions

We don't have any CI/CD today — where do you start?

We start small: one automated pipeline for your most-deployed application, so your team sees the benefit quickly before we expand further.

Which cloud providers do you work with?

AWS, Azure, and Google Cloud. We'll work with whichever you already use, or advise on the best fit if you're starting fresh.

Can you improve our existing pipeline instead of rebuilding it from scratch?

In most cases, yes. We look for the smallest changes that remove the most friction rather than defaulting to a full rebuild.

Do you offer ongoing infrastructure management, or just initial setup?

Both. Some clients want a one-time setup they then own; others prefer ongoing management and monitoring from us.

How do you handle security and secrets management?

We use dedicated secrets managers (not hardcoded credentials), role-based access controls, and encrypted storage as standard practice, not an upsell.