What We Do / Cloud & DevOps Services

Migrate once. Run it better every day.

Nine cloud and DevOps services engineered around the workload and run as one a migration factory that finishes what it starts, 24/7 managed operations, pipelines that ship daily, and cloud spend governed as unit economics rather than explained after the invoice.

Optimize Your Cloud Spend
3,800+workloads migrated
99.9%platform availability sustained
62%faster release cycles
31%average cloud cost reduction
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Nine services. One engineering standard.

Individually consumable, designed to run as one. Pick a service to explore what’s inside.

SERVICE 01 OF 09

Cloud Advisory & Migration

From business case to landing zone to live — a migration factory that moves workloads in waves and finishes what it starts, instead of stalling at thirty percent.

  • Application discovery & dependency mapping
  • 6R disposition & business case
  • Landing zone design (Azure, AWS, GCP)
  • Migration factory & wave planning
  • Re-host, re-platform, re-architect
  • Persona & VIP service models
  • Database, SAP & ERP workload migration
  • Datacentre exit & colo consolidation
  • Cutover rehearsal & tested rollback
3,800+workloads migrated
9 monthstypical datacentre exit runway
Zerounplanned business downtime

Platform ecosystem: Azure Migrate · AWS MGN · Google Migrate · Device42 · CloudEndure · Turbonomic

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SERVICE 02 OF 09

Managed Cloud Operations

The estate run properly after go-live: 24/7 operations, patching, capacity, backup and incident command under one SLA with AIOps finding problems before your users report them.

  • 24/7/365 follow-the-sun cloud NOC
  • Patch, configuration & baseline compliance
  • Capacity & performance management
  • Backup, snapshot & recovery operations
  • Multi-cloud and hybrid estate run
  • Major incident & problem management
  • ITSM integration (ServiceNow, Jira)
  • Monthly service & risk governance
99.9%platform availability sustained
24/77follow-the-sun operations
10+global delivery centres

Platform ecosystem: Azure Monitor · AWS CloudWatch · Datadog · ServiceNow · Ansible · Terraform Cloud

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SERVICE 03 OF 09

DevOps & CI/CD Engineering

Delivery pipelines engineered so releases become boring: automated build, test, security and deploy with a rollback path that has actually been used. CI/CD pipeline design & build

  • CI/CD pipeline design & build
  • Trunk-based development & GitOps
  • Automated test & quality gates
  • Artefact, dependency & version control
  • Blue/green and canary release patterns
  • Multi-environment release orchestration
  • Developer onboarding golden paths
  • DORA metrics instrumentation
850+pipelines under management
62%faster release cycles
Dailyreleases where quarterly was normal

Platform ecosystem: Azure DevOps · GitHub Actions · GitLab · Jenkins · Argo CD · Harness · Nexus

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SERVICE 04 OF 09

Platform Engineering & Container Orchestration

An internal platform your developers actually choose to use: Kubernetes, golden paths and self-service environments with guardrails already inside them.

  • Kubernetes design & operations (AKS, EKS, GKE)
  • Internal developer platform (IDP)
  • Service mesh, ingress & traffic policy
  • Helm charts & templated services
  • Multi-tenancy, quotas & namespace design
  • Autoscaling, spot & node strategy
  • Container image supply-chain security
  • Self-service environments on demand
12,000+containers under management
Minutesto a compliant new environment
Golden pathsstandard by default

Platform ecosystem:AKS · EKS · GKE · OpenShift · Argo CD · Backstage · Istio · Helm

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SERVICE 05 OF 09

Cloud SOC & Continuous Threat Detection

A 24/7 security operations center detecting and responding to cloud threats in real time — automated threat hunting, incident response orchestration and evidence-chain compliance built in.

  • Cloud security operations center (SOC) setup & staffing
  • Threat detection & automated response workflows
  • Incident response planning & orchestration
  • Log aggregation & forensic analysis
  • Cloud vulnerability scanning & management
  • Security threat intelligence integration
  • Security event correlation & alerting
  • Evidence preservation & chain of custody
24/7cloud threat detection
<5 minsincident response activation
Automatedthreat hunting & correlation

Platform ecosystem: Microsoft Sentinel · Splunk · CrowdStrike · Datadog · Rapid7 · Wiz · IBM QRadar

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SERVICE 06 OF 09

SRE & Observability

Reliability engineered rather than hoped for: SLOs, error budgets and telemetry that explains an incident instead of merely announcing it.

  • SLI / SLO & error-budget design
  • Full-stack observability: metrics, logs, traces
  • AIOps correlation & alert-noise reduction/li>
  • Synthetic & real-user monitoring
  • Incident command & blameless postmortems
  • Chaos & resilience testing
  • Capacity forecasting & trend analysis
  • Toil reduction as a standing programme
58%reduction in mean time to resolution
SLOscontracted alongside SLAs
AIOpsalert noise cut at source

Platform ecosystem: Datadog · Dynatrace · Grafana · Prometheus · New Relic · OpenTelemetry · PagerDuty

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SERVICE 07 OF 09

DevSecOps & Cloud Governance

Security inside the pipeline and the platform shift-left scanning, posture management and compliance evidence produced as a by-product of delivery.

  • Cloud security posture management (CSPM)
  • SAST, DAST & SCA in every pipeline
  • Container & IaC scanning at commit
  • Identity, RBAC & least privilege by default
  • Secrets detection & rotation
  • Zero Trust network & segmentation design
  • ISO 27001, SOC 2, PCI DSS, HIPAA, GDPR alignment
  • Audit evidence packs on demand
Shift-leftsecurity gates in every pipeline
Evidenceaudit packs generated, not assembled
ISO 27001aligned delivery

Platform ecosystem: Microsoft Defender for Cloud · Wiz · Prisma Cloud · Snyk · SonarQube · Trivy · Entra ID

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SERVICE 08 OF 09

FinOps & Cloud Cost Optimisation

Cloud spend converted into unit economics: visibility by team and service, rightsizing, commitment strategy savings that still exist two quarters later.

  • Cost visibility, tagging & showback/chargeback
  • Rightsizing & idle resource reclamation
  • Reserved instance & savings plan strategy
  • Spot and scheduling for non-production
  • Architecture-level cost engineering
  • Anomaly detection & budget alerting
  • Unit-economics reporting for finance
  • FinOps operating model & monthly rituals
31%average run-rate cost reduction
Unit costper customer, per transaction
Monthlyforecast accuracy under governance

Platform ecosystem: Azure Cost Management · AWS Cost Explorer · CloudHealth · Apptio Cloudability · Turbonomic

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SERVICE 09 OF 09

Hybrid Cloud, Resilience & DR

One operating model across cloud, colocation and on-premise with recoverability tested on a schedule rather than described in a document.

  • Hybrid & multi-cloud architecture
  • Datacentre & colocation operations
  • Network, SD-WAN & cloud connectivity
  • Backup as a service
  • DR design, runbooks & failover testing
  • RTO / RPO engineering to the business case
  • Business continuity governance
  • Exit & portability planning
99.9%+availability across hybrid estates
TestedDR, not documented DR
RTO/RPOengineered, then proven

Platform ecosystem: Azure Site Recovery · AWS Elastic DR · Veeam · Commvault · Zerto · VMware · Cisco

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Architected across Leading Multi-Cloud Platforms (AWS, Azure & Google Cloud)

Teceze AI-Driven Cloud & Operations Management Accelerate deployment and cloud governance with AI-powered intelligence. AI-driven cloud analytics and automation frameworks optimize resource provisioning, automate CI/CD pipeline bottlenecks, detect operational anomalies, and provide real-time FinOps insights to support high-performing, cost-efficient multi-cloud environments.

Explore AI-Powered Workplace Solutions
Microsoft
Slack
Google Drive
Outlook
Teams
Notion
ChatGPT
Zapier
Cybersecurity tools

Almost everyone has cloud. Far fewer have cloud that pays for itself.

A single release touches architecture review, a provisioning ticket, a security sign-off, a change board and a deployment window and every hand-off is where velocity, accountability and margin quietly leak. The business asked for speed. What it bought was a bigger bill and the same lead time.

Business request
Architecture review
Provisioning ticket
Security sign-off
Change board
Release window
Ops handover
Migrations that stall at 30%

The easy workloads move, the dependent ones don’t, and the business ends up funding two estates at once indefinitely.

Spend growing faster than usage

No tagging, no owner, no unit economics. Finance sees a rising invoice; engineering sees no signal to act on.

Manual operations capping velocity

Cloud-native platforms operated with ticket-era processes: environments take weeks, releases wait for windows, engineers wait for both.

Security arriving last

Findings raised after build means rework, delayed releases and audit evidence assembled by hand under deadline.

The result: a cloud estate that costs more than the datacentre it replaced, ships no faster, and nobody can prove is compliant.

The Operation Behind IT

A cloud engine, measured in the open

3,800+
workloads migrated to cloud
99.9%
platform availability sustained
850+
CI/CD pipelines under management
12,000+
containers under management
62%
faster release cycles
31%
average run-rate cost reduction
58%
reduction in mean time to resolution
90%
of provisioning delivered as code
135+
countries: physical presence / delivery
94%
change success rate across managed pipelines

Cloud Transformation Case Studies

Real-World Cloud & DevOps Success Stories

Discover how Teceze helps mid-market and enterprise organizations modernize legacy infrastructure, automate release management, optimize cloud spend, and accelerate software delivery velocity through tailored multi-cloud and DevOps solutions.

Cloud Transformation Supports 5x Promotional Traffic with 99.95% Target Availability

A multi-brand retailer modernised its digital commerce environment with a cloud-native omnichannel platform, supporting up to 5x promotional traffic, enabling releases several times per week and reducing run-rate costs by 18–22% through right-sizing.

View Case Study

Compliant Hybrid Cloud Foundation for Digital Banking

The client is a healthcare organisation focused on improving patient engagement through connected digital experiences. As patient expectations for accessible, responsive healthcare services continue to grow, the organisation required a scalable cloud platform to support digital communication, patient services, and secure information exchange while maintaining strong data protection, compliance, and operational resilience

View Case Study

Why Teceze

Four reasons cloud estates run better her

1.Engineers, not slideware

Certified architects and engineers across Azure, AWS and GCP who build the landing zone, write the Terraform and hold the pager — the same team that designs it operates it.

2.Build and run under one accountability line

Migration, platform engineering and 24/7 operations sit in one contract with one governance forum, so nobody gets to blame the hand-off. SLOs sit alongside SLAs: we’re measured on whether the service worked, not whether the ticket closed.

3.Cost governed, not explained

FinOps is part of the operating model from day one: tagging, showback, rightsizing and commitment strategy reviewed monthly with savings reported as unit economics your CFO can use.

4.Global reach, regulated-industry discipline

4,500+ technical professionals, physical presence in 40+ countries and delivery capability across 135+ with security, evidence and change discipline built for healthcare, financial services and utilities.

Get In Touch

Find out where your cloud leaks time and money

Start with an assessment: your workloads, your pipelines, your bill and your recovery position and a roadmap ranked by what the business will feel first.

Talk to the cloud team

Discovery and dependency mapping first, then a wave plan that groups workloads by application boundary rather than by server list. Each wave is rehearsed in a dry-run cutover with a tested rollback, and the first wave is deliberately a low-risk lighthouse that proves the runbook. Most business systems move inside a maintenance window; the ones that can’t use replication with a short switchover which is how a 480-workload manufacturing estate moved with zero unplanned downtime.

All three, plus hybrid and colocation estates. We run multi-cloud under a single operating model one landing-zone standard, one observability stack, one governance forum so multi-cloud doesn’t become multiple ways of working. Where a client has a strategic platform, we optimise for it rather than arguing for portability nobody will use.

FinOps as an operating discipline, not a one-off clean-up: tagging and showback so every team sees its own spend, rightsizing and idle reclamation as a monthly routine, commitment strategy managed against forecast, non-production scheduled off, and cost engineered at architecture review. Savings are reported as unit economics cost per customer, per transaction, per environment. Typical run-rate reduction is 25–35% in the first two quarters, and it holds because the routine continues.

Yes most engagements are exactly that. Three models: embedded engineers inside your squads, a platform team that gives your developers self-service golden paths, or fully managed run while your team focuses on product. Ownership boundaries, on-call rota and escalation paths are agreed before day one, in writing.

Security moves into the pipeline and the platform: SAST, SCA, container and IaC scanning at commit, policy as code blocking non-compliant infrastructure before it exists, cloud security posture management across the estate, least-privilege identity by default, and audit evidence generated as a by-product of delivery rather than assembled by hand before an audit.

Weeks 1–4: discovery, dependency mapping, cost and DORA baselines, risk register. Weeks 5–8: target architecture, landing zone, pipeline and observability foundations, lighthouse workload live. Weeks 9–12: first migration wave or first automated release train in production, governance cadence running, and a costed roadmap ranked by business impact rather than technical tidiness.

Security Strategy

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