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Kubernetes
TerraformWhat our cloud & DevOps services cover
Cloud and DevOps services help organizations run software on modern cloud platforms and release it quickly and safely. Cloud work covers architecture, migration, security and cost management on AWS, Microsoft Azure and Google Cloud. DevOps work covers the practices and automation — CI/CD pipelines, infrastructure as code, containers, monitoring — that let teams ship changes many times a week without breaking production.
We design, build and operate cloud infrastructure for applications we develop and for systems built by your own team.
Signs you need cloud & DevOps help
- Releases are manual, stressful and happen only once a month.
- Staging and production behave differently and “works on my machine” is common.
- Your cloud bill keeps growing and nobody knows exactly why.
- There is no clear alerting — customers report outages before you know about them.
- Servers were configured by hand and cannot be recreated reliably.
- You are planning to move from on-premise or a single VPS to the cloud.
Our cloud & DevOps services
AWS cloud development
Architecture and build on AWS — EC2, ECS/EKS, Lambda, RDS, S3, CloudFront — following the Well-Architected Framework.
Azure cloud development
Azure App Service, AKS, Functions, SQL and Entra ID for organizations standardized on Microsoft.
Google Cloud development
Cloud Run, GKE, BigQuery and Firebase for data-heavy and container-first products.
Cloud migration
Assess, plan and move applications and data from on-premise or other clouds with minimal downtime.
Cloud-native development
Applications designed for the cloud: containers, serverless, managed services and auto-scaling.
CI/CD implementation
Automated build, test, security scan and deployment pipelines in GitHub Actions, GitLab CI, Azure DevOps or Jenkins.
Kubernetes & containers
Containerizing applications with Docker and running them on managed Kubernetes with sensible defaults.
Infrastructure as code
Terraform or CloudFormation so every environment is versioned, reviewed and reproducible.
DevOps consulting
Assessment of your current delivery process and a practical roadmap to faster, safer releases.
Site reliability engineering
SLOs, monitoring, alerting, incident response and capacity planning for systems that must stay up.
Cloud migration approach
Not every application should be moved the same way. For each system we recommend one of the common migration strategies:
| Strategy | What it means | When it fits |
|---|---|---|
| Rehost (lift & shift) | Move as-is to cloud VMs | Fast exit from a data center |
| Replatform | Small changes, e.g. managed database | Quick wins on cost and maintenance |
| Refactor | Re-architect for containers or serverless | Apps that need to scale or change often |
| Retire / replace | Switch off or move to SaaS | Low-value or duplicated systems |
DevOps practices we put in place
- Version-controlled infrastructure with peer review
- Automated tests and security scans on every pull request
- One-click or fully automated deployments with rollback
- Separate dev, staging and production environments that match
- Centralized logging, metrics, tracing and alerting
- Backups, disaster recovery plans and regular restore tests
- Cost monitoring, budgets and right-sizing recommendations
How an engagement works
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Assessment1–2 weeks
Review of architecture, pipelines, security and spend. Output: findings report and prioritized roadmap.
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Foundation2–6 weeks
Landing zone, networking, identity, IaC and CI/CD set up the right way.
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Migration or buildVaries
Workloads moved or built in waves, each tested and verified before cut-over.
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OptimizeOngoing
Performance and cost tuning, security hardening, SLO tracking.
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Managed supportMonthly
Monitoring, patching, incident response and improvements under an agreed SLA.
Cloud & DevOps cost
| Engagement | Typical scope | Timeline | Typical budget (USD) |
|---|---|---|---|
| DevOps assessment | Review + roadmap | 1–2 weeks | $3k – $8k |
| CI/CD & IaC setup | Pipelines and Terraform for 1–3 apps | 3–6 weeks | $10k – $30k |
| Cloud migration | Several applications and databases | 2–6 months | $25k – $120k |
| Managed DevOps / SRE | Monitoring, patching, on-call support | Monthly | $2k – $10k / month |
Ranges are typical for projects of this kind and are shared to help you budget. Your fixed quote comes after a free discovery call and depends on scope, integrations and timeline.
Cloud security and compliance
We build security into the cloud foundation from day one: least-privilege identity and access management, network segmentation, private subnets for data stores, encryption at rest and in transit, secrets management, web application firewalls, vulnerability scanning of containers and infrastructure code, and centralized audit logging. For regulated workloads we map controls to frameworks such as SOC 2, HIPAA and PCI DSS and use the compliance tooling each cloud provides.
Cloud cost optimization
Cloud spend often grows quietly. Our cost reviews typically look at:
- Right-sizing over-provisioned servers and databases
- Savings plans and reserved capacity for steady workloads
- Auto-scaling and scheduling non-production environments to shut down at night
- Storage lifecycle policies and cleanup of orphaned volumes and snapshots
- Caching and CDN use to reduce compute and data-transfer costs
- Tagging and budgets so every team sees what it spends
You receive a prioritized list of savings with the estimated monthly impact of each change.
Measuring DevOps performance
We track the four widely used DORA metrics so improvements are measurable:
| Metric | What it tells you |
|---|---|
| Deployment frequency | How often you can release value |
| Lead time for changes | How long code takes to reach production |
| Change failure rate | How often releases cause problems |
| Time to restore service | How quickly you recover from incidents |
AWS, Azure or Google Cloud: how to choose
All three major clouds can run almost any workload well. The better question is which one fits your team, your existing contracts and the services you will use most.
| AWS | Microsoft Azure | Google Cloud | |
|---|---|---|---|
| Often the best fit for | Startups and SaaS; the widest range of services | Companies on Microsoft 365, Active Directory and .NET | Data, analytics and AI-heavy products; Kubernetes |
| Strengths | Mature ecosystem, largest talent pool | Enterprise identity, hybrid cloud, licence benefits | BigQuery, GKE, strong pricing for sustained use |
| Consider carefully | Many overlapping services; cost control needs discipline | Portal and pricing complexity | Smaller partner ecosystem in some regions |
We are not tied to any provider. If you already have credits, an enterprise agreement or in-house skills on one cloud, that usually decides it.
Backup, disaster recovery and business continuity
Outages and accidental deletions happen to every company eventually. What matters is how much data you can afford to lose and how quickly you need to be back online. We agree these two targets with you and design for them:
- RPO (recovery point objective) — the maximum data loss you can accept, for example 15 minutes or 24 hours.
- RTO (recovery time objective) — how long the system can be down, for example 1 hour or 1 business day.
| Strategy | Typical RTO | Relative cost |
|---|---|---|
| Backup and restore | Hours to a day | Low |
| Pilot light (core services ready in a second region) | Tens of minutes to hours | Medium |
| Warm standby | Minutes | Medium–high |
| Multi-region active-active | Near zero | High |
Backups are encrypted, stored in a separate account and region, and restored in a scheduled test — an untested backup is not a backup.
Observability and incident response
You cannot fix what you cannot see. Every environment we hand over includes the three pillars of observability, wired to alerts your team actually receives:
- Logs — structured, searchable and retained according to your compliance needs
- Metrics — latency, error rate, traffic and saturation for every service
- Traces — request-level tracing across services to find slow or failing calls quickly
- Uptime checks and alerts routed to Slack, Teams, email or an on-call tool
- Runbooks for common incidents and a simple post-incident review template
Tooling is chosen to match your budget, from cloud-native options such as CloudWatch and Azure Monitor to Grafana, Prometheus, Datadog or New Relic.
How to evaluate a cloud & DevOps partner
Cloud work is easy to describe and hard to do well. These questions separate teams who run production systems from those who only build them:
- Will everything be defined as code (Terraform, Bicep, CloudFormation or Pulumi) and stored in your repository?
- Will the infrastructure live in cloud accounts that you own, with your billing and your administrator access?
- How do they handle secrets, access reviews and least-privilege permissions?
- What monitoring and alerting will be in place on day one, and who receives the alerts?
- Can they show how a failed deployment is rolled back?
- How do they report and control cloud spend month to month?
A good partner will be happy to leave you independent: everything documented, reproducible and understandable by your own engineers or another provider.
A typical first-year cloud roadmap
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Months 1–2: assess and stabilise
Review architecture, security and costs; fix urgent risks; add monitoring and backups you can trust.
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Months 2–4: automate
Infrastructure as code, CI/CD pipelines and repeatable environments.
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Months 4–8: migrate or modernise
Move or re-platform workloads in waves, starting with lower-risk services.
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Months 8–12: optimise
Right-size resources, commit to savings plans where usage is stable and refine reliability targets.
The exact sequence depends on where you start; teams already in the cloud often begin with cost and reliability rather than migration.
Cloud & DevOps terms explained
| Term | Meaning |
|---|---|
| Infrastructure as code | Defining servers, networks and services in version-controlled files |
| CI/CD | Automated building, testing and deployment of every change |
| SLO | A reliability target, such as the share of requests that must succeed |
| FinOps | The practice of managing and optimising cloud spending |
| Blue-green deployment | Running two production environments and switching traffic between them to release safely |
Go deeper with cloud migration and site reliability engineering.
Why choose us for cloud & DevOps
- Engineers who build applications as well as infrastructure — we understand both sides.
- Vendor-neutral advice across AWS, Azure and Google Cloud.
- Everything as code and documented, so you are never locked in to us.
- A focus on measurable results: deployment frequency, recovery time and monthly spend.
Explore more in Software Development Services.