DevOps Assessment Services
Make Your Infrastructure Ready for Anything
Client Results and Success

Production-Ready Kubernetes Architecture
The platform was designed to support scalable production deployments with minimal resource consumption, enabling faster environment provisioning and operational stability.
3
environments K8s setup
95%
environments K8s setup
35%
savings over managed Kubernetes alternatives
Our DevOps Assessment Services Cover Three Core Areas
- Cloud architecture review: Resource sizing, networking, security groups, and IAM
- Availability and fault tolerance analysis: Single points of failure, redundancy gaps
- Environment parity assessment: Drift between dev, staging, and production
- Disaster recovery readiness: Backup coverage, RTO/RPO definitions, and runbooks

- End-to-end pipeline audit: Build, test, and deploy workflow mapping
- Bottleneck identification: Stages causing slowdowns, flaky tests, and queue congestion
- Security in the pipeline: Secret handling, dependency scanning, and access controls

- Observability coverage: Logging, metrics, alerting, and tracing gaps
- On-call and incident response workflows: Escalation paths and mean time to resolution
- Change management process: Approval workflows, rollback capabilities
- Toil quantification: Manual work that should be automated, and its cost

4–8 hrs
Longer than expected MTTR
60–70%
Fewer deploys than possible
1 in 3
Deployments cause failure
35%
Cloud spend wasted
Fixes and Improvements We Will Deliver
Clear and Lasting Solutions to Incidents
Faster Shipping Without Fear
Make Staging Feel Like Production
Stop Paying for What You Don't Use
Industry We Service
DevOps Assessments by Engineering Teams that Have Built 1000+ Global Projects
Our Offerings in DevOps Consulting and Services
Our Latest Thinking

GFF 2026 Takeaways: What Comes After Fintech Innovation
Takeaways from Global Fintech Fest 2026, where GeekyAnts joined the conversation on agentic AI, tokenization, and building fintech systems that stay trustworthy.

Engineering Quality at GeekyAnts: How We Measure, Review, and Sign Off Delivery
See how GeekyAnts sets project-specific quality benchmarks, assigns ownership across engineering and delivery teams, manages exceptions, and validates production readiness.

GeekyAnts Joins OpenAI Partner Network as a Select Partner
GeekyAnts joins the OpenAI Partner Network as a Select partner, building on its work with OpenAI models and enterprise AI systems.

The Deprecation Notice Nobody Reads
This blog explains why API deprecation notices often fail and how staged retirement, telemetry, brownouts, and scheduled enforcement can make API migrations more controlled and predictable.

What Does a GeekyAnts Discovery Sprint Deliver? Scope, Process, Team, Timeline, and Sample Outputs
When the business idea is clear but the scope, journeys, and technical approach are not, a discovery sprint validates them before you build. Here is what one involves, who takes part, how long it runs, and the outputs you leave with.

ISO 42001 Implementation Guide: How Enterprises Can Prepare for AI Management System Certification
A practical guide to ISO 42001 implementation, certification readiness, AI governance, evidence, audits, and enterprise compliance planning.





