Cloud and DevOps Services
Cloud and DevOps services set up the infrastructure under your software: deployment pipelines, monitoring and cloud setup that is reliable, repeatable and secure.
Overview
An app can work in testing and still fail in production. Common causes are manual deployments, no monitoring and servers set up differently from each other.
We treat infrastructure as part of every project. Deployments are automated and run through pipelines that catch problems before they reach users.
Docker packages each app with what it needs, and Kubernetes runs those packages reliably. The same container that passed testing is the one that goes live.
Security covers network rules, least-privilege access for each service and safe storage of secrets. A problem in one service should not give access to all the others.
A backup is only useful after it has been restored in a test. We set the backup schedule, test the restore and document the recovery steps.
A full pipeline and container setup is worth it when you deploy often or when manual steps create real risk. For a small static site, a simpler hosting setup is usually enough.
Who this service is for
Teams whose infrastructure setup wasn't built for the traffic or reliability the business now needs.
When not to choose this service
Not the right choice for a small static site with low traffic. Simple hosting is usually enough.
Engineering
Real Engineering Behind Every Cloud and DevOps Services Engagement
We set up environments, pipelines and monitoring before the first release, so your team can ship with confidence.
Problems Cloud and DevOps Services solves
Manual, Risky Deployments
A manual deploy process is slow and one mistake away from taking production down.
No Real Monitoring
Without real observability, the first sign of a production problem is often a customer complaint.
Guessed-At Infrastructure Costs
Infrastructure sized by guesswork either wastes budget or breaks under real load.
No Disaster Recovery Plan
Without a real backup and recovery plan, a single incident can mean genuine, lasting data loss.
Features
CI/CD Pipelines
Automated build, test, and deploy pipelines that catch problems before they reach production.
Containerized Infrastructure
Docker and Kubernetes deployments built for consistency across environments and real horizontal scale.
Real Monitoring and Alerting
Production visibility into performance, errors, and cost, not a dashboard nobody checks.
Right-Sized Cloud Architecture
AWS, Google Cloud, or Azure infrastructure sized to your actual traffic and growth trajectory.
Benefits of Cloud and DevOps Services
Safer, Faster Deploys
Automated pipelines mean shipping changes is routine, not risky.
Real Production Visibility
Problems caught by monitoring, not by a customer complaint.
Predictable Infrastructure Costs
Capacity sized to real usage, not overprovisioned by guesswork.
Resilient to Real Incidents
A real backup and recovery plan in place before it is ever needed.
Our Process
Infrastructure work follows four steps, from the audit to a set review schedule.
- 01
Infrastructure audit
We review the current hosting, deployments, access rules and monitoring.
Infrastructure audit
- 02
Environment design
We design the environments, network rules and access roles for each service.
Environment design
- 03
Pipeline and monitoring setup
We set up automated deployments, alerts and backups, then test a restore.
Pipeline and monitoring
- 04
Handover and review
We hand over runbooks and review costs, alerts and restore tests on a set schedule.
Runbooks and review schedule
Cloud platforms and automation tools
- AWS
- Google Cloud
- Azure
- Docker
- Kubernetes
- GitHub Actions
Industries that use Cloud and DevOps Services
Where cloud and devops services most commonly makes an impact.
- Finance
- Healthcare
- Ecommerce
- Manufacturing
Cloud Foundation
Cloud Infrastructure Foundation
Containerized infrastructure, real monitoring, and automated deployments — replacing manual, undocumented deploys with a system your team can trust and extend.
What’s Included
- CI/CD Pipelines
- Containerized Infrastructure
- Real Monitoring & Alerting
- Right-Sized Cloud Architecture
- Automated Backups
- Disaster Recovery Plan
- Infrastructure-as-Code
- Cost Optimization
Every Engagement Includes
- Infrastructure Discovery Workshop
- Dedicated DevOps Engineer
- Cloud Architecture Design
- Secure Network Configuration
- Production & Staging Environments
- Monitoring & Alerting Setup
- Cost & Performance Analytics
- Failover & Recovery Testing
- Infrastructure Runbook Documentation
- Team Training on Deploys
- 30 Days Post-Launch Support
Starting From
PKR 320,000
Approx. USD $1,150 (reference only)
Final investment depends on your project scope, features, integrations, and business requirements discussed during the discovery session.
Every price is confirmed in writing before work begins — no hidden charges, ever.
Optional Add-Ons
- + 24/7 Monitoring & On-Call
- + Disaster Recovery Region
- + Kubernetes Migration
- + Security Hardening Audit
What Happens After Launch
Day 30
Launch
- Infrastructure live with automated CI/CD deploys
- Team trained on the deploy pipeline
- Baseline uptime & cost captured
Day 60
Prove Resilience
- First disaster-recovery drill completed
- Alert thresholds tuned from real incidents
- Cost optimization pass on cloud spend
Day 90
Scale
- Roadmap for scaling ahead of growth
- Security posture review
- Long-term reliability plan
Ownership
What you receive from Cloud and DevOps Services
Every cloud and devops services engagement ends with the same ownership terms — nothing withheld, nothing licensed back to us.
Infrastructure as code
The setup files that build your environments, so they can be rebuilt.
Pipeline configuration
The automated deploy and test pipeline for each service.
Monitoring and alert rules
What is monitored, who gets alerted and at what level.
Runbook
Steps for restores, scaling and incident response.
Frequently Asked Questions
Which cloud provider do you work with?
We work with AWS, Google Cloud and Azure. The right provider depends on your existing systems, your team’s skills and your requirements. We do not apply one provider to every project.
Can you take over our existing infrastructure?
Yes. We start with an audit of the current setup: deployments, access rules, monitoring and costs. Then we fix the most important risks first and plan the rest in steps.
Do you set up monitoring and alerting?
Yes. We set up monitoring for uptime, errors and performance, with alerts that reach the right people. Monitoring is part of the standard setup, not an extra service. Alerts are set for downtime, errors and slow responses, so the right person hears about a problem early.
Do you handle CI/CD pipeline setup?
Yes. Automated build, test and deploy pipelines are part of how we set up delivery. The pipeline checks each change before it reaches users. The pipeline runs tests and builds for each change before it can be deployed.
How long does a cloud/DevOps engagement take, and what affects cost?
The timeline depends on the number of environments, services and compliance needs. We share a timeline after discovery. Cost is driven mainly by the size of the environment and the level of monitoring and security.
What’s a common infrastructure mistake growing companies make?
A common infrastructure mistake is deploying by hand and setting up each server differently. This makes problems hard to repeat and hard to fix. Automated, repeatable setups avoid this. They often set up servers by hand and do not record the steps, so no one can rebuild the system easily.
When is a full Kubernetes setup more than we need?
A full Kubernetes setup is more than needed for a small app or a static site. A simpler hosting platform or container setup is often enough at that size. It is usually more than needed when you run only a few services with steady traffic.
What should we have ready before a DevOps engagement starts?
Have a list of your current systems, the services that must run, the traffic you expect and the people who manage access. Access details are shared through a secure process, never in a chat.
What drives infrastructure project complexity most?
Complexity grows with the number of services, environments, data stores, compliance rules and traffic patterns. These points are reviewed during discovery. The number of services, environments, data stores and compliance rules add the most work.
How does infrastructure typically evolve after the initial setup?
Infrastructure changes as the product grows. We review capacity, costs and security regularly, and we update the setup when new services or traffic patterns appear. New services, more environments and stricter security rules are the most common changes.
How do you keep infrastructure costs predictable?
We size resources to your real traffic and growth plan, and we track cost as well as performance. Regular reviews show where spending can be reduced without hurting reliability. We review usage and spending on a regular schedule, so unexpected costs are found early.
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Delivery
After launch with Cloud and DevOps Services
We keep the setup current with updates, cost checks, alerts and periodic restore tests.
Ready to Talk About Cloud and DevOps Services?
Tell us what's breaking under real traffic, and we'll walk you through what a production-grade setup looks like.
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