Managed Cloud & DevOps Consulting Services
Build Reliable, Secure, and Cost-Efficient Cloud & DevOps – From Day 0 to Day 2
Xgrid delivers end-to-end Cloud & DevOps consulting – from strategy and migration to production reliability and managed cloud services – so your team can focus on the core roadmap.
Day 0 — Strategy & Architecture
Define the right cloud and DevOps strategy before execution begins.
Day 0 focuses on decision quality. This phase ensures cloud adoption, DevOps transformation, and architectural choices are aligned with business goals, security expectations, and operational realities—before cost, risk, and complexity are locked in.
Cloud Strategy & Adoption
Many organizations move to the cloud without a clear adoption strategy, leading to fragmented architectures and rising costs. We help define cloud models, workload placement, and phased roadmaps so investments remain controlled, measurable, and sustainable.
DevOps Strategy & Maturity
DevOps efforts often stall due to tool sprawl or unclear ownership. We assess DevOps maturity, define CI/CD and automation direction, and align delivery practices to business goals—creating a clear foundation for scalable execution.
Architecture & Security
Late-stage security decisions increase risk and rework. We embed security and reliability into architecture from the outset, aligning designs with compliance, availability, and long-term operational requirements.
Day 0 Delivery Constructs
Each construct addresses a specific risk or cost of inaction that commonly derails cloud and DevOps programs.
| Component | Pain Point / Cost of Inaction | What We Do | Outcome |
|---|---|---|---|
| Infrastructure Audit | Blind spots in existing systems lead to rework, outages, or failed migrations | Assess current infrastructure, tooling, workflows, and dependencies | Clear understanding of current-state risks and constraints |
| Program Governance (TPM-led) | Lack of ownership causes scope creep and delays | Assign a Technical Program Manager to drive structure, cadence, and accountability | Predictable delivery planning and stakeholder alignment |
| Cloud Architecture Definition | Poor early architecture decisions lock in cost and complexity | Design cloud architecture aligned to scale, security, and reliability goals | Future proof, scalable reference architecture |
| Business Goal Alignment | Technology initiatives fail to deliver business value | Translate business objectives into technical priorities and success metrics | Technology decisions tied directly to business outcomes |
| Critical Metrics Identification | Teams measure activity, not impact | Define availability, performance, reliability, and delivery metrics | Clear success criteria and measurable outcomes |
| Workload & Capacity Definition | Over- or under-provisioning increases cost and risk | Analyze workloads to define compute, storage, and scaling needs | Right-sized, cost-aware infrastructure planning |
| Security & Compliance Definition | Late security changes cause delays and re-architecture | Define security, identity, and compliance requirements upfront | Reduced compliance risk and faster approvals |
| Scope & Implementation Planning | Ambiguous scope leads to overruns and misalignment | Create a phased execution plan with dependencies and milestones | Smooth transition into Day 1 implementation |
| SLO & SLA Definition | Reliability expectations are unclear until incidents occur | Define service-level objectives and service-level agreements | Strong foundation for Day 2 operations and SRE practices |
Blind spots in existing systems lead to rework, outages, or failed migrations
Assess current infrastructure, tooling, workflows, and dependencies
Clear understanding of current-state risks and constraints
Lack of ownership causes scope creep and delays
Assign a Technical Program Manager to drive structure, cadence, and accountability
Predictable delivery planning and stakeholder alignment
Poor early architecture decisions lock in cost and complexity
Design cloud architecture aligned to scale, security, and reliability goals
Future proof, scalable reference architecture
Technology initiatives fail to deliver business value
Translate business objectives into technical priorities and success metrics
Technology decisions tied directly to business outcomes
Teams measure activity, not impact
Define availability, performance, reliability, and delivery metrics
Clear success criteria and measurable outcomes
Over- or under-provisioning increases cost and risk
Analyze workloads to define compute, storage, and scaling needs
Right-sized, cost-aware infrastructure planning
Late security changes cause delays and re-architecture
Define security, identity, and compliance requirements upfront
Reduced compliance risk and faster approvals
Ambiguous scope leads to overruns and misalignment
Create a phased execution plan with dependencies and milestones
Smooth transition into Day 1 implementation
Reliability expectations are unclear until incidents occur
Define service-level objectives and service-level agreements
Strong foundation for Day 2 operations and SRE practices
Day 1 — Implementation & Migrations
Execute cloud and DevOps initiatives with operational discipline, reliability built in, and clear ownership from day one.
Day 1 focuses on turning strategy into production reality. This phase delivers hands-on implementation, migration, and DevOps enablement — ensuring systems are not only deployed, but observable, reliable, and ready to operate at scale.
Cloud Implementation
We implement cloud platforms using proven architectural patterns and Infrastructure as Code, ensuring environments are scalable, secure, observable, and production-ready.
Migration & Modernization
We migrate and modernize applications and platforms with minimal disruption, focusing on reliability, performance, and operational continuity — not just successful cutovers.
DevOps Implementation
We build and operationalize CI/CD pipelines, automation workflows, and observability foundations so teams can deploy faster while maintaining reliability and control.
Day 1 Delivery Constructs
Each construct ensures implementation does not create operational debt or Day 2 instability.
| Component | Pain Point / Cost of Inaction | What We Do | Outcome |
|---|---|---|---|
| Designated TPM | Implementations drift without coordination, causing delays and rework | Provide a dedicated TPM to manage scope, dependencies, and execution cadence | Predictable delivery and stakeholder alignment |
| Cloud Architect (CA) | Architecture decisions made ad hoc reduce scalability and reliability | Lead hands-on implementation aligned to approved reference architectures | Consistent, scalable, and secure cloud environments |
| Service Integration & Implementation | Disconnected services lead to fragile systems | Implement cloud services, platforms, and integrations with reliability and observability in mind | Cohesive, production-ready systems |
| O&M Readiness | Teams struggle post-go-live due to lack of operational preparation | Prepare monitoring, alerting, access controls, and operational processes | Smooth transition from build to operate |
| Baseline Functional Metrics | Teams go live without knowing what "healthy" looks like | Establish baseline performance, reliability, and availability metrics | Clear visibility into system behavior |
| Thorough Workflow Testing | Untested failure paths cause outages in production | Test workflows, integrations, scaling, and recovery scenarios | Reduced incident risk and higher confidence at launch |
| Team Training | Knowledge gaps slow adoption and increase dependency | Enable teams on architecture, pipelines, and operational workflows | Faster adoption and internal ownership |
| Day 2 Runbooks | Operations teams lack guidance during incidents | Create recovery, escalation, and operational runbooks | Reliable, repeatable Day 2 operations |
Implementations drift without coordination, causing delays and rework
Provide a dedicated TPM to manage scope, dependencies, and execution cadence
Predictable delivery and stakeholder alignment
Architecture decisions made ad hoc reduce scalability and reliability
Lead hands-on implementation aligned to approved reference architectures
Consistent, scalable, and secure cloud environments
Disconnected services lead to fragile systems
Implement cloud services, platforms, and integrations with reliability and observability in mind
Cohesive, production-ready systems
Teams struggle post-go-live due to lack of operational preparation
Prepare monitoring, alerting, access controls, and operational processes
Smooth transition from build to operate
Teams go live without knowing what "healthy" looks like
Establish baseline performance, reliability, and availability metrics
Clear visibility into system behavior
Untested failure paths cause outages in production
Test workflows, integrations, scaling, and recovery scenarios
Reduced incident risk and higher confidence at launch
Knowledge gaps slow adoption and increase dependency
Enable teams on architecture, pipelines, and operational workflows
Faster adoption and internal ownership
Operations teams lack guidance during incidents
Create recovery, escalation, and operational runbooks
Reliable, repeatable Day 2 operations
Day 2 — Managed Cloud Operations & Reliability
SRE-supported Command Center (SCC)
Day 2 focuses on running production systems predictably at scale. This phase delivers managed DevOps and SRE capabilities that prioritize availability, performance, observability, cost control, and continuous improvement — not reactive firefighting.
Managed DevOps / SRE
Production systems demand continuous oversight beyond implementation. We provide managed DevOps and SRE support through an SRE-supported Command Center, ensuring incidents are handled consistently, ownership is clear, and reliability targets are met.
Optimization & Reliability
As usage scales, small inefficiencies become material risks. We continuously optimize performance, availability, and cost using predictive analytics, SLO-driven monitoring, and reliability engineering practices.
Operations & Automation
Manual operations do not scale. We standardize, automate, and govern operational workflows—reducing human error, accelerating recovery, and improving operational maturity over time.
Day 2 Engagement Models
Lite — Managed SRE (Shared / Targeted Coverage)
Designed for teams that require structured operational support without full 24x7 coverage.
Enhanced* — Managed SRE (Dedicated / Proactive Coverage)
Designed for mission-critical platforms requiring continuous reliability ownership, automation, and governance.
Day 2 Delivery Constructs
Both models operate through the SRE-supported Command Center, with depth and coverage varying by tier.
| Component | Pain Point / Cost of Inaction | What We Do | Outcome |
|---|---|---|---|
| Dedicated / Shared TPM | Operational work lacks prioritization and coordination | Provide TPM oversight for incidents, changes, and continuous improvements | Clear ownership and execution discipline |
| Dedicated / Shared SRE Team | Reliability issues surface only after outages | Apply SRE practices to monitoring, incident response, and reliability improvements | Improved availability and faster recovery |
| Product Guidance (SME) | Teams lack deep platform expertise during incidents | Provide expert guidance on platforms, tooling, and architectures | Faster resolution and better decisions |
| Escalation Management | Incidents escalate inconsistently under pressure | Manage structured escalation paths and communications | Reduced incident impact and confusion |
| Predictive Analytics & KPI Dashboards | Teams react to issues instead of anticipating them | Use trend analysis and SLO-aligned dashboards | Proactive issue detection and capacity planning |
| Critical Process Monitoring | Business-critical workflows fail silently | Monitor key user and system workflows end-to-end | Early detection of high-impact failures |
| On-Demand Monitoring | Nights and weekends remain operational blind spots | Provide targeted monitoring outside business hours | Reduced off-hours incident risk |
| Proactive Monitoring 24x7* | Continuous availability is required | Provide round-the-clock proactive monitoring and alerting | Always-on operational confidence |
| Execute Recovery Runbooks | Incident response is slow and inconsistent | Execute tested recovery and remediation runbooks | Faster MTTR and predictable recovery |
| Change Management* | Uncontrolled changes introduce instability | Govern releases, changes, and rollbacks | Reduced change-related incidents |
| Service Tooling & Automation* | Manual operations increase error rates | Automate operational workflows and tooling | Scalable, low-touch operations |
| Response SLAs & SLOs* | Reliability expectations are unclear | Own response targets and reliability objectives | Measurable service quality |
| End-to-End Governance* | Operations drift without accountability | Provide full operational governance and reporting | Long-term operational maturity |
Operational work lacks prioritization and coordination
Provide TPM oversight for incidents, changes, and continuous improvements
Clear ownership and execution discipline
Reliability issues surface only after outages
Apply SRE practices to monitoring, incident response, and reliability improvements
Improved availability and faster recovery
Teams lack deep platform expertise during incidents
Provide expert guidance on platforms, tooling, and architectures
Faster resolution and better decisions
Incidents escalate inconsistently under pressure
Manage structured escalation paths and communications
Reduced incident impact and confusion
Teams react to issues instead of anticipating them
Use trend analysis and SLO-aligned dashboards
Proactive issue detection and capacity planning
Business-critical workflows fail silently
Monitor key user and system workflows end-to-end
Early detection of high-impact failures
Nights and weekends remain operational blind spots
Provide targeted monitoring outside business hours
Reduced off-hours incident risk
Continuous availability is required
Provide round-the-clock proactive monitoring and alerting
Always-on operational confidence
Incident response is slow and inconsistent
Execute tested recovery and remediation runbooks
Faster MTTR and predictable recovery
Uncontrolled changes introduce instability
Govern releases, changes, and rollbacks
Reduced change-related incidents
Manual operations increase error rates
Automate operational workflows and tooling
Scalable, low-touch operations
Reliability expectations are unclear
Own response targets and reliability objectives
Measurable service quality
Operations drift without accountability
Provide full operational governance and reporting
Long-term operational maturity
Case Studies
How a US-Based IoT Retailer Cut AWS Costs by $125,000/Month with Smart Cloud Optimization
Read MoreProblem
AWS costs surged to $500K/month due to over-provisioning, idle environments, and lack of cost controls.
Approach
Introduced automated cost governance, right-sizing, real-time visibility, and self-service AWS infrastructure.
Impact
Reduced spend by 25% in one month, exceeding savings targets by 8x while improving cloud governance & developer efficiency.
Modernizing a Leading U.S. IoT Device Manufacturer from a Monolith to Cloud-Native Microservices
Read MoreProblem
Monolithic architecture caused <50% Android delivery, 8–10 hour campaign delays, limited scalability, and weak observability.
Approach
Migrated to Azure-based, containerized Python microservices with enterprise FCM integration, automated pipelines, and real-time orchestration.
Impact
Achieved 100x scale (1K → 100K+/hr), 99.9% delivery, 8–10 min deployments, 99.95% availability, and 40% lower infra costs.
How Enterprise App Modernization Boosted Response Times by 85% & Delivered $72K Annual Savings
Read MoreProblem
A deprecated stack caused security exposure, 3.2s response times, fragile deployments, and slow developer onboarding.
Approach
Phased migration to AWS-based, containerized microservices with Kubernetes, CI/CD, Redis caching, security hardening, & Dockerized dev environments.
Impact
85% faster responses (3.2s → 0.5s), 99.9% uptime, 40% lower infra costs, 10x user scale, and deployments cut to 15 minutes.
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Engineering at Scale
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Trusted by
World Leading Enterprises
Building Strategic Partnerships, Delivering Measurable Results.
“Their team possesses a unique talent of working with a breadth of tools, techniques, and coding languages to deliver best in class services!”
“Their team possesses a unique talent of working with a breadth of tools, techniques, and coding languages to deliver best in class services!”
Orlando Beiner
“Exceptional delivery and technical depth. They have been instrumental in scaling our core infrastructure components.”
“Exceptional delivery and technical depth. They have been instrumental in scaling our core infrastructure components.”
Apoorva Chaudhary
“The level of expertise and dedication shown by the team is second to none. They are true partners in our digital transformation journey.”
“The level of expertise and dedication shown by the team is second to none. They are true partners in our digital transformation journey.”
Paul Clement
“Seamless integration into our workflows and a deep understanding of our product vision. They deliver quality consistently.”
“Seamless integration into our workflows and a deep understanding of our product vision. They deliver quality consistently.”
Courtney Kehl
“Highly professional and technically proficient. They helped us navigate complex architectural challenges with ease.”
“Highly professional and technically proficient. They helped us navigate complex architectural challenges with ease.”
Nicolas Le Borgne
“A rare blend of strategic thinking and hands-on execution. Their contributions have had a significant impact on our performance.”
“A rare blend of strategic thinking and hands-on execution. Their contributions have had a significant impact on our performance.”
Awais Nemat
Engineer Ideas
into Measurable Outcomes
No handoffs. No black boxes. Just a senior team that owns delivery end to end.
