Web development and IT support. Rajanpur, Punjab.
Deployment pipelines, Docker and Kubernetes, and cloud environments on AWS, Azure or Google Cloud, set up with infrastructure as code and handed over with documentation your own team can maintain. Fixed price agreed before we start, from $499.
Most DevOps engagements fail quietly a few months after the consultant leaves: the pipeline breaks on a dependency update, nobody knows why the cluster was configured that way, and the cloud bill creeps up because nothing was ever turned off. We set up pipelines, containers and cloud environments so that the people who inherit them can read, change and rebuild them, because everything is written down as code and documented.
That also means saying when a tool is more than you need. A five-person team shipping one Laravel application does not need Kubernetes, and we will say so and put the money into tested deployments and monitoring instead. Where the work is a one-off move of a website rather than a platform, our website migration service is the better fit, and for ongoing server care our IT support plans take over after handover.
Platforms and tooling we work with
Six kinds of work. Starter covers the pipeline, containers and one environment; Professional adds the rest.
Build, test and deploy on every merge using GitHub Actions or GitLab CI, with Jenkins where you already run it. Starter sets up the pipeline and deployment scripts; Professional adds automated test stages and security scanning in the pipeline, so a failing test or a known vulnerability stops the release before it reaches production.
Applications packaged with Docker so development, staging and production run the same image. Kubernetes on Professional and above, but only where the workload justifies a cluster: for a single application on one or two servers we will recommend something simpler and say why.
Account structure, networking, identity and access on AWS, Azure or Google Cloud, designed against the provider’s own framework: AWS Well-Architected, Azure Well-Architected or the Google Cloud Architecture Framework. Migrations are staged with a tested rollback rather than a single cutover weekend.
Environments defined in Terraform and committed to your repository, so a server is never configured by hand and forgotten. Professional includes separate development, staging and production environments built from the same code, which is what makes staging worth trusting.
Prometheus and Grafana, or the provider’s own tooling, with alert thresholds agreed and written down. Basic monitoring and alerting on Starter, centralised logging and performance monitoring on Professional, and 24/7 monitoring with incident response on Enterprise. Alerts go to your team; we are copied only if you want us to be.
Rightsizing, scheduling of non-production environments, reserved capacity where usage is predictable, and budgets with alerts, following the FinOps Foundation framework. We do not quote a saving percentage before seeing the bill; we show you where the money goes and what each change would remove.
Four stages, each with a written output you keep.
We review the current infrastructure, deployment process, costs and risks with the people who run it, and measure where you start using the DORA four keys: deployment frequency, lead time, change failure rate and time to restore.
A written design covering pipeline stages, container strategy, environments, backups and monitoring, with a fixed price. It names what we are deliberately not doing and why.
Pipelines, containers, infrastructure code and monitoring built in your accounts and your repositories, reviewed with your team as we go rather than presented at the end.
Documentation, a recorded walkthrough and a handover session, then 30 days of support on Starter or 90 on Professional. We measure the DORA keys again at the end so the improvement is a number, not a feeling.
Docker
Kubernetes
AWS
Azure
Google Cloud
GitHub Actions
GitLab CI
Terraform
Grafana
The parts that are easy to postpone and expensive to skip.
Hardening against the CIS Benchmarks for the operating system and the cloud account, least-privilege IAM, secrets kept out of code, and scanning in the pipeline. Under the shared responsibility model the provider secures the cloud and you secure what you put in it; we cover the second half.
Backups that are restored on a schedule rather than assumed to work, with the recovery time and the data-loss window you can tolerate agreed in writing. Disaster recovery design and a tested failover sit on Enterprise.
Load tests before launch so you know where the application breaks, and autoscaling rules based on those numbers rather than on defaults. Auto-scaling and load balancing are included on Enterprise.
Server-to-cloud or cloud-to-cloud moves staged with a tested rollback, DNS cutover at a lowered TTL, and the old environment kept until the new one has run clean for an agreed period.
Choose a practical starting package, then speak with our team to confirm the scope, timeline, and exact requirements.
A pipeline, containers and one cloud environment
Tested pipelines, Kubernetes, Terraform and three environments
Multi-cloud, disaster recovery and 24/7 incident response
Not sure which package fits? Send us the details and we’ll recommend the right option.
Cloud advice only means something once you name the platform and the problem.
A pipeline that builds, tests and releases on every merge, so releases stop being an event people dread.
A cost review that finds the idle resources and oversized instances, with budgets and alerts so it does not creep back.
Account structure, networking, IAM and cost controls configured from the start, and defined in Terraform.
Moves for businesses that want one identity provider, with Entra ID used for the cloud as well as the desktop.
An honest assessment first, then a cluster your team can operate if the answer is yes, and a simpler setup if it is no.
Enough automation and monitoring to move fast safely, without hiring the platform engineers you cannot yet afford.
Cloud work is the most location-sensitive service we offer, because region choice is a legal decision as much as a technical one.
Cost-conscious architecture for teams billing in PKR, and honest advice on latency when the nearest cloud region is outside the country.
Workloads placed in eu-west-2 (London) or the equivalent region so personal data stays in the UK, with UK GDPR transfer rules handled explicitly and the NCSC cloud security principles used as the checklist.
US regions with multi-region failover where uptime justifies the cost, cost governance for teams whose bill has outgrown their traffic, and the shared responsibility model written into the design so it is clear who secures what.
me-central-1 and the equivalent regions so data stays inside the UAE where regulation or client contracts require it, and honest advice when a service is not yet offered in that region.
Send us your current setup and what is going wrong with it. You normally get a fixed price and a timeline within one business day, or a note that a smaller change would do.
Straight answers on cost, Kubernetes, uptime, cloud bills and who owns what.
Starter is $499 for a CI/CD pipeline on GitHub or GitLab, Docker containerisation, one cloud environment, deployment scripts, basic monitoring, handover documentation and 30 days of support. Professional is $1,299 and adds automated test stages, a Kubernetes cluster, separate development, staging and production environments in Terraform, centralised logging, security scanning in the pipeline and 90 days of priority support. Enterprise is quoted individually. Cloud usage is billed by the provider on your own account, and we estimate it before you decide.
Often not. Kubernetes earns its place when you run several services that scale independently, need rolling deployments with no downtime, or already have a team that can operate a cluster. For a single application on one or two servers, containers with a simple deployment pipeline are cheaper to run and far easier to fix at two in the morning. We tell you which applies before quoting, and the Professional package still works without the cluster.
No, and nobody honest can. Uptime depends on the provider's service levels, your application's architecture and how quickly someone responds when something fails. What we do is design for the availability you need, including multi-region failover on Enterprise, test the failover rather than assume it, and point you to the provider's own commitments, such as the AWS compute service level agreement, which define what they refund if they fall short.
Usually, but we do not quote a percentage before seeing the bill. The review finds idle resources, oversized instances, non-production environments running overnight and storage nobody reads, then prices each change. Some savings come from reserved capacity, which commits you for a year or more, so we present those separately so you can decide.
The one your constraints point to, not the one with the best marketing. Businesses already on Microsoft 365 usually get the most from Azure because identity is shared. Teams that need a UAE region today have fewer options. Start-up credits, the skills already in your team and the region where your data must live all matter more than feature comparisons. We lay out the trade-offs in the assessment and recommend one.
You do. Cloud accounts are opened in your name and billed to you, the pipeline and the Terraform code live in your repositories, and the handover documentation is written so another engineer can take over. We keep no access you have not granted and nothing that would stop you leaving.
Within the support period we fix anything that breaks at no charge. After that you can run it yourselves with the documentation, buy fixes as small jobs, or put the servers on one of our IT support plans, which cover patching, monitoring and incident response for a monthly fee.
We come back with an assessment of the current setup, a written design that names what we would not do, and a fixed price. If you do not need Kubernetes, we will say so.
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