Mobiloitte designs, modernizes and operates secure cloud platforms across AWS, Microsoft Azure, Google Cloud and hybrid environments. Our Cloud and DevOps services cover cloud strategy, migration, Infrastructure as Code, CI/CD automation, Kubernetes, DevSecOps, observability, Site Reliability Engineering, FinOps and managed cloud operations.
From current-state assessment and architecture planning to implementation, migration, production readiness and continuous optimization, we help engineering teams build reliable cloud environments and repeatable software-delivery systems.
Mobiloitte provides cloud consulting, architecture, migration, cloud-native development, Infrastructure as Code, CI/CD automation, Kubernetes, platform engineering, DevSecOps, Site Reliability Engineering, observability, disaster recovery, FinOps and managed cloud operations. We support AWS, Microsoft Azure, Google Cloud, private cloud, hybrid and multi-cloud environments.
Evaluate current infrastructure, applications, data, delivery processes, operating costs and organizational readiness before selecting a cloud roadmap.
Design governed cloud foundations covering accounts, subscriptions, networks, identity, security, logging, policies and environment standards.
Plan and execute rehosting, replatforming, refactoring, repurchasing, retirement or retention strategies according to each workload.
Build or modernize applications using containers, managed services, serverless functions, microservices and cloud-native data platforms.
Connect public cloud, private cloud and on-premise environments with consistent identity, networking, security, observability and governance.
Automate infrastructure provisioning through reusable and version-controlled Terraform, CloudFormation, Bicep or Pulumi modules.
Build automated pipelines covering source control, builds, testing, security checks, approvals, deployment and rollback.
Design, deploy and operate container platforms using Docker, Kubernetes and managed services such as EKS, AKS and GKE.
Create self-service infrastructure capabilities, reusable delivery templates, service catalogs and governed paths to production for development teams.
Integrate code scanning, dependency analysis, container security, secrets management, policy enforcement and security testing within delivery workflows.
Establish service-level objectives, incident practices, error-budget policies, capacity planning and reliability automation.
Implement correlated logs, metrics, traces, dashboards, alerts and service-health views across applications and infrastructure.
Apply analytics and automation to event correlation, anomaly detection, incident triage, resource optimization and repetitive operational tasks.
Establish tagging, allocation, budgets, forecasting, anomaly detection, rightsizing and ongoing cloud-spend governance.
Define recovery objectives, backup policies, replication, restoration procedures, failover and business-continuity testing.
Provide ongoing monitoring, incident response, maintenance, patching, capacity management, optimization and operational reporting.
Implement identity, network security, encryption, key management, access controls, configuration policies and security monitoring according to workload risk.
Review unstable pipelines, failed transformations, infrastructure drift, fragmented tools and recurring production incidents, then create a phased remediation plan.
A central team defines policies, architecture standards, governance and adoption guidance for cloud teams.
Suitable for: Organizations beginning or scaling cloud adoption across departments.
A platform team delivers reusable self-service capabilities for application teams.
Suitable for: Organizations with several engineering teams and recurring infrastructure needs.
Cross-functional teams build, deploy and operate their own applications using shared standards and tooling.
Suitable for: Product organizations with mature engineering ownership.
An external or hybrid operations team monitors and maintains the cloud environment under a defined service model.
Suitable for: Organizations that need specialist coverage or continuous support.
Internal teams retain architecture and business ownership while an external partner provides implementation, operations or specialist capabilities.
Suitable for: Enterprises balancing internal control with external expertise.
Balanced guidance builds more trust than recommending migration for every workload.
Move the workload with minimal architectural change.
Make selected platform improvements without fully redesigning the application.
Redesign parts or all of the application to use cloud-native architecture.
Replace the existing system with a SaaS or commercial platform.
Remove systems that no longer provide sufficient value.
Keep workloads in their current environment when migration does not yet provide sufficient technical or commercial benefit.
Explore our most popular AI and cloud integration solutions designed for enterprise scale delivery.
Transform legacy systems through modernization, cloud migration services, and refactoring to microservices architecture. Enable operations readiness, security hardening, and AIOps capabilities for production reliability.
Best for: legacy to cloud migration, microservices adoption, database modernization, platform reliability, AIOps readiness
Achieve cost visibility and governance with forecasting, anomaly detection, and optimization loops. Implement AI workload cost control and automated budget management for cloud spend efficiency.
Best for: cloud cost control, usage forecasting, budget governance, optimization recommendations, AI workload cost management
Comprehensive cloud services with clear deliverables and reference architectures.
Discovery & Analysis Comprehensive requirement analysis and project roadmap creation with risk assessment.
Architecture & Design Reference architectures and best practices for scalable cloud solutions.
Build & Deploy - Custom cloud development with CI/CD pipelines and automated deployment.
Security & Compliance Security by design with IAM, VAPT, and compliance documentation.
Goals, environments, constraints, and success criteria clarified. Stakeholders align on outcomes and risks.
Cloud design, platform selection, IaC approach, and CI/CD strategy defined for scalable, secure delivery.
Milestones, ownership, estimates, and quality gates outlined for phased rollout.
Build‑ready blueprint: scope, timelines, acceptance criteria, and deployment plan across environments.
Security by design approach with comprehensive security measures and industry compliance.
Define role-based access, least-privilege permissions, multi-factor authentication, federation and privileged-access controls.
Use policies, templates and automated checks to reduce configuration drift and identify risky infrastructure changes.
Protect application secrets, certificates and encryption keys using controlled storage and rotation workflows.
Integrate source, dependency, container, infrastructure and application-security checks into CI/CD workflows.
Define segmentation, private connectivity, encryption, firewall rules and controlled data movement according to workload requirements.
Centralize operational and security events to support alerting, investigation and incident response.
Produce architecture records, access models, evidence and operating procedures that support applicable organizational and regulatory assessments.
Implementation Details
Cloud and DevOps cost depends on the number of workloads, current infrastructure, migration strategy, cloud platforms, application architecture, delivery pipelines, security requirements, availability targets, data transfer, monitoring and ongoing support.
A focused CI/CD or Infrastructure as Code pilot generally requires less effort than an enterprise cloud transformation involving several applications, regulated data, multi-region deployment and operational transition. After assessment, Mobiloitte can provide a documented architecture, migration waves, implementation roadmap, timeline and commercial estimate.
Suitable for organizations that need current-state findings, cost analysis, architecture recommendations and a prioritized roadmap.
Suitable when the target environment, migration approach, governance and implementation scope must be defined before delivery.
Suitable for clearly defined landing zones, pipeline implementations, infrastructure modules or workload migrations.
Suitable for long-term platform development, modernization, SRE and continuous optimization.
Suitable for organizations requiring defined monitoring, incident management, infrastructure maintenance and ongoing operational support.
Suitable for unstable pipelines, delayed releases, configuration drift, recurring incidents or unsuccessful cloud adoption.
Coordinate infrastructure, application modernization, data, integration and delivery automation through one engineering team.
Design and operate environments across AWS, Azure, Google Cloud and hybrid infrastructure according to workload requirements.
Build reusable and self-service capabilities that reduce infrastructure bottlenecks for application teams.
Incorporate access, infrastructure policy, security testing and operational monitoring into the engineering lifecycle.
Balance infrastructure cost with workload performance, resilience and business requirements.
Deliver architecture records, code, runbooks, monitoring, training and ongoing support according to the engagement.
"Challenge: A business relied on manually maintained on-premise infrastructure and inconsistent release procedures. Solution: Mobiloitte designed a governed cloud foundation, migrated selected workloads, introduced Infrastructure as Code and implemented automated build, test and deployment pipelines. Outcome: Achieved 80% faster deployment times and reduced production incidents by 60%."
Financial Services Firm
Cloud Migration and CI/CD Modernization
"Challenge: High cloud costs and lack of visibility across multiple AWS accounts. Solution: Implemented FinOps practices, tagging strategies, and rightsized idle resources. Automated shutdown of non-production environments. Outcome: Reduced monthly cloud spend by 35% without impacting performance."
E-Commerce Enterprise
FinOps and Cloud Cost Optimization
"Challenge: Monolithic application struggling with scalability during peak user traffic. Solution: Refactored to microservices, containerized with Docker, and orchestrated using Kubernetes (EKS). Implemented auto-scaling and observability. Outcome: Zero downtime during peak sales events and 99.99% availability."
SaaS Provider
Kubernetes Migration & Platform Engineering
Employee Testimonials
