Cloud & DevOps
Built for Uptime
and Faster Releases

Savvycom designs, migrates and runs enterprise platforms on AWS, Azure and Google Cloud, with CI/CD and monitoring built in from day one. Your teams release more often, and your systems stay up while they do.

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Engineer holding a tablet in a data center corridor, with a card showing 20%+ lower cloud running cost after AWS re-engineering

Trusted by Global Leading Enterprises

Trusted by Global Leading Enterprises

Platform Outcomes From Published Projects

Every figure below comes from a Savvycom case study published on this website, not from an industry benchmark. The project grid further down opens the full story behind each number.

20%+

lower cloud running cost on AWS

300K+

records migrated for a bank

1,000+

contracts a month on Google Cloud

Where Cloud Platforms Leak Money and Time

Most enterprises are already on the cloud. The losses start after the first move, when the bill keeps growing, releases still wait on people, and no single team owns the platform.

  • A Bill Nobody Can Explain
  • Releases Wait on People
  • Customers Find Outages First
  • The Monolith Cannot Scale
  • Environments That Drift Apart
  • Security Checked at the End
Hands checking printed invoices with a calculator
Servers sized for peak, test environments left running overnight and storage that is never tiered add up quietly. Without tagging and a cost owner per team, the invoice is the only report anyone sees.
“Our cloud spend doubled in two years and nobody can say which workloads drove it.”

Four Ways Savvycom Works on Your Platform

Each area starts with an assessment of what you run today and ends with a platform your own team can operate. Savvycom owns the outcome and the handover, not a seat on your org chart.

Cloud Migration &
Modernization

300K+ records migrated

Move applications and data from on-premise or a first-generation cloud setup to a target architecture, in waves that keep the business running during the switch.

Solves - A legacy core is split into services behind an API layer, data is migrated with validation and a rollback path, and the old system is retired only after the new one has proved itself in production.
Server racks with network cabling in a data center
What we deliver
Assessment & target architecture Microservices & API layer Data migration with rollback Phased cut-over & retirement

Cloud Architecture &
Cost Optimization

20% cloud running cost

Design or re-engineer the environment on AWS, Azure or Google Cloud for availability, scale that follows real usage, with a cost owner for every resource.

Solves - Workloads are right-sized, idle environments are switched off on a schedule, storage is tiered and every resource is tagged to a team, so the invoice turns into a report you can act on.
Hand-drawn growth chart on paper with a ruler and pen
What we deliver
Landing zone & account design Right-sizing & reserved capacity Cost tagging & dashboards High-availability design

CI/CD & Platform
Engineering

5 mo to production

Pipelines that build, test and deploy on every change, infrastructure defined as code, and environments that match because they are created the same way every time.

Solves - Deployment becomes a pipeline step with automated checks instead of a manual checklist, so a fix reaches production the same day it is approved rather than in the next release window.
Laptop showing code
What we deliver
CI/CD pipelines Infrastructure as code Containers & orchestration Automated test gates

Managed Cloud
Operations & SRE

24/7 monitoring & response

Monitoring across infrastructure and user journeys, alerts tuned to what matters, on-call response, and a monthly review of cost, performance and security with your team.

Solves - Dashboards show the user journey, not just CPU, alerts are tuned so they are trusted, and an engineer is paged and working on the incident before a customer notices.
Operations team monitoring screens in a control room
What we deliver
Observability & alerting Incident response & on-call Backup & disaster recovery Security & compliance reviews

AI Inside the Pipeline, With a Human at the Gate

Savvycom delivers with AI agents for DevOps, QA and incident analysis working beside the engineers, under approved models, human approval gates and audit trails. Four places it changes how a platform is run.

Incident
Analysis

AI agents correlate logs, metrics and recent deployments, so the engineer starts from a probable cause instead of a blank search.

Today - An alert fires at two in the morning and the on-call engineer starts from a blank log search.
Network cables plugged into a patch panel
How AI helps
Correlates logs, metrics & deployments Drafts a probable root cause with evidence Proposes a rollback for an engineer to approve Writes the post-incident summary

Cost Anomaly Detection

Spend is watched per service and per team every day, so a misconfigured job is caught in hours rather than on next month’s invoice.

Today - The spend spike shows up on the invoice, four weeks after a misconfigured job started running.
Analyst reviewing printed reports beside a laptop with charts
How AI helps
Watches spend per service and team daily Flags deviations from the usual pattern Links each spike to the change that caused it Suggests right-sizing with projected savings

Infrastructure
Code Review

Every infrastructure change is checked against security policy before merge, so review is no longer a queue behind one architect.

Today - Every infrastructure change waits on the one architect who knows how the accounts are laid out.
Code on a monitor seen through eyeglasses
How AI helps
Checks infrastructure code against security policy Catches missing encryption before merge Generates boilerplate for new environments Keeps human approval before anything applies

Release
Quality Gates

Tests are generated and maintained for changed code, and a release is blocked automatically when a check fails.

Today - Test coverage is thin, so each release must rely on a manual smoke test and crossed fingers.
Engineering team working on laptops at a shared table
How AI helps
Generates & maintains tests for changed code Summarizes the risk of each release Blocks deployment when a check fails Feeds results into the engineering KPIs

Why Enterprises Trust Savvycom With Their Platform

Published work on all three major clouds, delivery that holds after go-live, and an AI-native model that is governed rather than improvised.

Experience on All Three Major Clouds

  • AWS: IoT platform re-engineered, cloud running cost down over 20%
  • Azure: Docker-based microservices behind document and vision AI platforms
  • Google Cloud: contract review platform scaled to 1,000+ contracts a month

Delivery That Holds After Go-Live

  • 16+ years, 100+ enterprise clients, 30+ countries
  • Certified to ISO 27001 and ISO 9001
  • One project manager and one system architect as your fixed points of contact

AI-Native Delivery, Governed

  • AI agents for DevOps, QA and incident analysis on every engagement
  • Approved models, human approval gates and audit trails
  • A free two-week assessment before you commit any budget

Trusted by Enterprise Leaders Across Industries

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Cloud and DevOps FAQs

The questions technology and operations leaders ask before choosing a partner for cloud migration, cost optimization, CI/CD and managed operations.

Savvycom works on four areas: cloud migration and modernization, cloud architecture and cost optimization, CI/CD and platform engineering, and managed cloud operations with SRE. Each area starts with an assessment of what you run today and ends with a platform your own team can operate. Savvycom owns the outcome and the handover.

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