BengaluruIndia
+91 89180 76924
CLOUD SOLUTIONS
Cloud infrastructure designed for reliability, security, and cost awareness.
CoderLyft helps organisations define cloud strategy, design architecture, migrate workloads, implement DevOps and CI/CD, and operate cloud environments on AWS, Azure, and GCP—without claiming vendor partnership status or guaranteed uptime SLAs.
Cloud strategy • Architecture • Migration • DevOps & CI/CD • Security • Cost optimisation • Operations
Cloud
Infrastructure layer
- Workloads Apps & services
- Pipelines CI/CD & deploy
- Containers K8s where fit
- Security Identity & access
- Operations Monitor & optimise
BUILT AROUND OPERATIONS
Cloud should support the product—not become an unmanaged cost centre.
A useful cloud programme connects workload requirements, architecture, security, deployment workflow, observability, and cost control. Strategy and operating model should be defined before infrastructure sprawl accumulates.
Fit-for-purpose architecture
Design cloud resources around actual workload needs rather than defaulting to the most complex option available.
Secure by default
Apply identity, network, secrets, and environment separation principles from the start.
Repeatable delivery
Use infrastructure as code and CI/CD so releases are controlled and recoverable.
Operable and observable
Plan monitoring, backups, documentation, and ownership for the teams who run the environment.
OUR CLOUD CAPABILITIES
From cloud strategy to migration, DevOps, and operations.
Cloud Strategy and Assessment
Clarify cloud goals, workload fit, platform options, migration priorities, and operating responsibilities.
- Current-state infrastructure review.
- Workload inventory and classification.
- Platform comparison on AWS, Azure, or GCP.
- Migration and modernisation priorities.
- Cost and risk considerations.
- Roadmap and recommendation summary.
Cloud Architecture Design
Design secure, maintainable cloud architectures for applications, APIs, data platforms, and supporting services.
- Reference architecture design.
- Network and environment planning.
- Compute and storage selection.
- High-availability patterns where required.
- Disaster recovery planning.
- Architecture decision records.
Availability and resilience depend on architecture choices, provider capabilities, operational practices, and agreed recovery objectives—not guaranteed SLA claims from CoderLyft.
Cloud Migration and Modernisation
Plan and execute workload migration or replatforming from on-premise or legacy hosting to cloud environments.
- Migration readiness assessment.
- Wave and dependency planning.
- Landing zone setup.
- Workload migration execution.
- Cutover and rollback planning.
- Post-migration validation.
DevOps and CI/CD
Implement repeatable build, test, and deployment pipelines aligned to team workflow and release controls.
- CI/CD pipeline design.
- Build and test automation.
- Environment promotion workflow.
- Infrastructure as code.
- Release and rollback procedures.
- Pipeline documentation.
Containers and Kubernetes
Use containerisation and Kubernetes where workload complexity, portability, or scaling needs justify the operational overhead.
- Containerisation assessment.
- Docker image standards.
- Kubernetes cluster design.
- Helm or deployment templates.
- Service networking and ingress.
- Operational runbooks.
Kubernetes is recommended only where its benefits justify the additional operational complexity.
Security and Identity
Apply cloud security foundations covering identity, access, network boundaries, secrets, and audit visibility.
- Identity and access design.
- Role and permission modelling.
- Network segmentation.
- Secrets management.
- Logging and audit configuration.
- Security review documentation.
Cost Optimisation and FinOps Support
Review cloud usage, right-size resources, and introduce cost visibility practices appropriate to the organisation.
- Cost and usage review.
- Resource right-sizing recommendations.
- Reserved or savings-plan considerations.
- Tagging and allocation strategy.
- Waste and idle resource identification.
- Optimisation action plan.
Savings depend on current usage patterns, contractual terms, architecture constraints, and whether recommended changes are implemented.
Managed Cloud Operations
Provide agreed operational support for monitoring, incident response coordination, patching, backups, and environment maintenance.
- Monitoring and alerting setup.
- Backup and recovery routines.
- Patch and update coordination.
- Incident triage support.
- Operational documentation.
- Service review meetings.
CLOUD DECISIONS
One cloud approach does not fit every workload.
| Approach | Best suited for | Key strength | Important consideration |
|---|---|---|---|
| Lift-and-shift migration | Workloads needing faster cloud relocation with minimal immediate application change. | Can reduce datacentre dependency more quickly. | May carry forward inefficiencies that should be modernised later. |
| Replatform or modernise | Applications that can benefit from managed services, containers, or cloud-native patterns. | Better long-term operability and scalability in many cases. | Requires more planning, testing, and change management. |
| Cloud-native greenfield | New products or services designed directly for cloud delivery. | Architecture can be shaped around modern deployment and observability practices. | Needs clear ownership and operating model from the start. |
| Hybrid or phased adoption | Organisations with legacy systems that cannot move all at once. | Allows prioritised migration with controlled risk. | Integration, security, and governance must span environments. |
CLOUD ENGINEERING
01
02
03
04
05
An environment connected from workloads to operations.
A maintainable cloud solution connects applications, infrastructure, deployment pipelines, security controls, observability, and operational ownership.
Example cloud solution architecture
Users and clients
Web visitors • Application users • Internal teams • Partner systems • Administrators
Application layer
Web apps • APIs • Background workers • Scheduled jobs • Static assets
Cloud platform services
Compute • Containers • Managed databases • Object storage • Messaging and queues
Delivery and security
CI/CD pipelines • Infrastructure as code • Identity and access • Network controls • Secrets management
Operations
Monitoring and alerts • Backups • Logging • Cost reporting • Support workflow
Final architecture depends on workload requirements, provider choice, compliance needs, budget, and operational capability.
Quality built into the delivery process.
Reliability
- Environment separation.
- Backup and recovery planning.
- Deployment rollback procedures.
- Health checks and monitoring.
- Documented runbooks.
Security
- Least-privilege access.
- Network boundary design.
- Secrets handling practices.
- Audit logging configuration.
- Change-controlled infrastructure updates.
Operability
- Infrastructure as code where appropriate.
- Clear ownership and documentation.
- Cost visibility and tagging.
- Release and patch routines.
- Support and review cadence.
HOW WE DELIVER
From assessment to a maintainable cloud environment.
01 Discover  Goals
What happens: Clarify workloads, business goals, constraints, compliance needs, and success measures.
Deliverables: Discovery notes • Workload inventory • Initial constraints list
Checkpoint: Agree the cloud outcomes and priorities.
02 Plan  Architecture
What happens: Define platform choice, target architecture, migration waves, environments, and delivery stages.
Deliverables: Architecture outline • Migration plan • Delivery roadmap
Checkpoint: Confirm scope boundaries and technical approach.
03 Design  Experience
What happens: Shape landing zones, network design, CI/CD workflow, security model, and operational approach.
Deliverables: Reference architecture • Pipeline design • Security model draft
Checkpoint: Approve cloud design before implementation.
04 Develop  Infrastructure
What happens: Implement infrastructure, pipelines, and core platform components in agreed increments.
Deliverables: Provisioned environments • Working pipelines • Implementation notes
Checkpoint: Confirm core platform components are ready to integrate.
05 Integrate  Systems
What happens: Connect applications, databases, identity providers, monitoring, and approved business systems.
Deliverables: Connected workloads • Integration configuration • Handover notes
Checkpoint: Verify integrations against agreed access and behaviour.
06 Validate  Quality
What happens: Test deployment paths, failover assumptions, security controls, backups, monitoring, and release readiness.
Deliverables: Validation findings • Issue register • Release checklist
Checkpoint: Meet agreed acceptance criteria before production cutover.
07 Launch  Release
What happens: Execute cutover or production release with rollback awareness, monitoring, and ownership handover.
Deliverables: Release plan • Runbooks • Launch documentation
Checkpoint: Authorise launch after operational readiness checks.
08 Improve  Support
What happens: Support optimisation, patching, monitoring improvements, and operational changes under the agreed engagement.
Deliverables: Support process • Improvement backlog • Change records
Checkpoint: Confirm ongoing ownership and support arrangements.
WAYS TO WORK WITH CODERLYFT
Choose the engagement around the work.
Cloud assessment and roadmap
For organisations evaluating cloud adoption, platform choice, or modernisation priorities.
Typical scope: Discovery, workload review, architecture options, roadmap, and recommendation summary.
Cloud migration project
For teams moving workloads from on-premise or legacy hosting to AWS, Azure, or GCP.
Typical scope: Landing zone setup, migration execution, validation, cutover planning, and handover.
DevOps and platform build
For product teams needing CI/CD, infrastructure as code, and repeatable release workflows.
Typical scope: Pipeline design, environment setup, deployment automation, documentation, and release support.
Managed cloud operations
For businesses needing agreed monitoring, maintenance, and operational support capacity.
Typical scope: Monitoring, backups, patch coordination, incident triage support, reviews, and documentation.
CLOUD ACROSS BUSINESS MODELS
Environments shaped around different workload needs.
- SaaS and web applications Scalable application hosting, CI/CD, and observability.
- Ecommerce and customer platforms Reliable release workflow, security, and integration-ready infrastructure.
- Data and analytics platforms Storage, pipeline, and warehouse infrastructure with controlled access.
- Internal business applications Secure environments, identity integration, and maintainable operations.
- Agency and white-label delivery Repeatable cloud setup and deployment support under your brand.
- Startup product launches Right-sized cloud foundations with room to grow.
- Legacy modernisation programmes Phased migration and replatforming with controlled risk.
- Multi-environment engineering teams Dev, staging, and production separation with governed releases.
What determines the size of a cloud project?
- Number and complexity of workloads.
- Migration depth and downtime tolerance.
- Platform choice across AWS, Azure, or GCP.
- Security and compliance requirements.
- CI/CD and environment count.
- Container or Kubernetes adoption.
- Monitoring and operational support scope.
- Documentation and handover expectations.
Scope composition
- Architecture
- Migration
- DevOps
- Security
- Operations
CoderLyft prepares a project estimate after reviewing the required workloads, platform context, compliance needs, and delivery responsibilities.
Request a Scoped Estimate
ILLUSTRATIVE DELIVERY APPROACH
A web application migrated to a cloud-native deployment workflow.
- 1 Existing hosting, workloads, and release process are reviewed.
- 2 Target architecture, environments, and migration plan are defined.
- 3 Landing zone infrastructure and CI/CD pipelines are implemented.
- 4 The application is migrated and connected to monitoring and identity services.
- 5 Deployment, backup, security, and rollback paths are validated.
- 6 Production release is completed with runbooks and operational handover.
An illustrative cloud delivery approach; not a published client result.
Cloud delivery with architecture, DevOps, and operational perspective.
Workload-first cloud planning.
Secure, repeatable infrastructure design.
Practical CI/CD implementation.
Clear delivery communication.
Operations and optimisation support options.
Frequently Asked Questions
Which cloud platforms do you work with?
CoderLyft can work with AWS, Azure, and GCP based on project requirements. This reflects platform capability, not official partnership status unless separately stated elsewhere.
Can you migrate our applications to the cloud?
Yes. Migration engagements can include assessment, landing zone setup, workload migration, validation, cutover planning, and handover depending on scope and access.
Do you implement CI/CD and infrastructure as code?
Yes. DevOps work can cover pipeline design, automated testing integration, environment promotion, and infrastructure as code using agreed tools.
When should we use Kubernetes?
Kubernetes is appropriate when workload complexity, portability, or scaling needs justify the operational overhead. Smaller or simpler workloads may not need it.
Do you guarantee uptime or SLA percentages?
No. CoderLyft does not guarantee uptime SLAs. Availability depends on architecture, provider services, operational practices, and agreed recovery objectives.
Can you help reduce cloud costs?
Yes. Cost optimisation can include usage review, right-sizing recommendations, tagging strategy, and waste identification. Actual savings depend on implementation and usage patterns.
Do you provide ongoing cloud operations support?
Yes. Managed operations can be scoped to cover monitoring, backups, patch coordination, incident triage support, and review meetings according to agreed responsibilities.
Are you an AWS, Azure, or GCP partner?
CoderLyft does not claim official cloud vendor partnership status unless separately stated elsewhere. We can work with these platforms as part of agreed project delivery.