DevOps Consulting Services UAE

Built for UAE regulation and in-country data residency

Work is aligned to the UAE Personal Data Protection Law (Federal Decree-Law No. 45 of 2021) and, for the financial free zones, the DIFC Data Protection Law No. 5 of 2020 and the ADGM Data Protection Regulations 2021. Data can remain in-country on the AWS Middle East (UAE) me-central-1 region.

Controls map to the UAE Information Assurance standards, Dubai's Information Security Regulation (ISR), ADHICS for Abu Dhabi healthcare, and UAE Central Bank requirements for financial entities. The frameworks TDRA and sector regulators expect.

Pricing is quoted in AED with VAT-ready invoicing, and 24/7 support is backed by our Dubai office for local Gulf-timezone cover, with documentation prepared for UAE auditors and free-zone authorities.

DevOps with UAE data residency by design

Pipelines and infrastructure are provisioned in the AWS me-central-1 (UAE) region with residency enforced in Terraform, and CI/CD gates embed PDPL and UAE IA controls. Giving DIFC, ADGM and Central Bank auditors evidence on every deploy.

What our DevOps services cover

DevOps development services at Techtweek are engineering work with a defined outcome: a pipeline that deploys to production in minutes, an estate defined entirely in code, a Kubernetes platform product teams can use without a ticket, security checks that run on every commit, and monitoring that pages the right person. We deliver them as fixed-scope projects, as an embedded DevOps engineer on your team, or as a managed service where we own the platform.

Engagements start with an assessment: current deployment frequency, lead time, change failure rate and time to restore, plus a review of pipelines, infrastructure, access and monitoring. The output is a prioritised plan with the first quick win scheduled in week one, not a strategy document.

We work on AWS, Microsoft Azure and Google Cloud, with GitHub Actions, GitLab CI, Azure DevOps, Jenkins and Bitbucket Pipelines, Terraform and OpenTofu, Kubernetes (EKS, AKS, GKE), Argo CD and Flux, and the OpenTelemetry, Prometheus and Grafana stack.

CI/CD automation services

We build and optimise CI/CD pipelines that take every commit through build, test, security scan and deployment automatically. Build once and promote the artefact, dependency and Docker layer caching, parallelised test suites, right-sized runners, and deployment strategies (rolling, blue-green, canary) that match the risk of the change. Typical outcome on an inherited pipeline: 15 to 25 minutes down to under 7, with a lower failure rate.

Pipelines are code, reviewed and owned. Self-hosted runners on spot capacity or Actions Runner Controller where volume justifies it. OIDC federation for cloud credentials so nothing long-lived is stored in the CI system. Our guide to CI/CD pipeline optimisation describes the techniques in detail.

Infrastructure as code and GitOps

Every estate we touch ends up in Terraform: accounts and subscriptions, networking, compute, managed services, IAM, monitoring and alerting. Modules are versioned, plans are reviewed in pull requests, applies run from the pipeline with state in a locked remote backend. Existing hand-built environments are imported incrementally rather than rebuilt.

For Kubernetes workloads, Argo CD or Flux reconcile the cluster from Git continuously, so the repository is the source of truth and drift is corrected rather than reported. Environment promotion is a pull request; rollback is a revert.

Kubernetes and platform engineering

We design and run production Kubernetes on EKS, AKS and GKE: cluster architecture, node pools and autoscaling, ingress and service mesh where justified, workload identity, network policy, secrets management, and upgrades on the provider release cadence. For organisations with several product teams we build the internal platform: golden-path templates, a self-service pipeline, standard Terraform modules and a service catalogue, so a new service goes from repository to production with a monitored, secured, compliant baseline in an hour.

Our Kubernetes consulting for AWS guide covers the EKS architecture decisions in depth. Microservices are recommended only when the organisation's scale justifies them; a well-run monolith on a good pipeline beats a distributed system nobody can debug.

DevSecOps and supply-chain security

Security is part of the pipeline, not a gate at the end. Dependency and container scanning on every build, secret detection, infrastructure policy checks (OPA, Checkov, Kyverno) before apply, SBOM generation, artefact signing with cosign, and SLSA-aligned provenance. Findings are triaged with owners and deadlines rather than dumped into a dashboard.

Policy-as-code governs what the platform will and will not deploy: no public buckets, no unencrypted volumes, no privileged containers, mandatory tags. The controls and their evidence map to ISO 27001, SOC 2 and PCI DSS; certification work is delivered by our sister firm PraxisQ Consulting.

Observability and SRE practices

Metrics, logs and traces through OpenTelemetry into Prometheus, Grafana, CloudWatch or Azure Monitor, with alerts on what users experience (latency, error rate, availability) rather than on CPU. SLOs with error budgets for services that matter, runbooks linked from every alert, and an on-call rotation that includes developers. Where a client has no operations team, our NOC monitoring services take the pager.

Cloud cost in the pipeline

Cost is treated as a non-functional requirement: infrastructure changes show their cost impact in the pull request (Infracost), non-production environments are scheduled off out of hours, rightsizing and commitment recommendations are reviewed monthly, and tagging is enforced so every workload has an owner and a budget.

DevOps methodology and team enablement

Tools without practice change nothing. We coach teams on trunk-based development, small batch sizes, feature flags, blameless post-incident reviews and the DORA metrics, and we measure the metrics monthly so the improvement is visible. Our DevOps methodology guide explains the approach; engagements typically show lead time dropping from weeks to hours within a quarter on the first service.

Engagement models and pricing

Assessment: a fixed-fee, two-week review with a prioritised plan. Projects: fixed scope and price for pipeline build-outs, infrastructure-as-code migrations, Kubernetes platforms and landing zones. Embedded engineers: a named DevOps or platform engineer on your team, monthly rolling. Managed DevOps: we own the pipeline, platform and monitoring under an SLA with a monthly report.

Clients are supported across the UK, US, Australia, UAE, Singapore, Canada and India from Mohali, with engineers on rotation across those time zones.

Why Techtweek Infotech for DevOps consulting

AWS Advanced Partner with production Azure and GCP practice. The same engineers run cloud infrastructure, server management and the 24/7 NOC, so DevOps work is done by people who will be paged if it breaks. Every deliverable is code in your repository, documented, with no dependency on us to keep running.

We publish what we do: guides to Zabbix monitoring, CloudWatch, CI/CD optimisation, Windows and Linux hardening, Terraform patterns and Kubernetes zero trust are on this site because they are the playbooks we use.