Cloud engineering service
CLOUD & PLATFORM ENGINEERING
Cloud Engineering Services for Secure, Scalable Platforms
Cloud platforms that help teams ship with confidence.
CodeCones designs, modernizes and operates cloud platforms that help engineering teams ship with less friction. Our cloud engineering services cover architecture, migration, platform engineering, infrastructure as code, FinOps and cloud operations across AWS, Azure and Google Cloud.
ISO 9001 CertifiedISO/IEC 27001 CertifiedAWS / Azure / Google Cloud
Cloud ArchitecturePlatform EngineeringDevOpsSREFinOpsSecurity
People. Technology. Impact.
50+
Cloud and DevOps Engineers
Cloud infrastructure, SRE, platform, and DevOps specialists across AWS, Azure, and GCP.
3
Cloud platforms
AWS, Azure and Google Cloud experience across delivery teams.
ISO 27001
Information security controls
Security and quality practices are scoped to the engagement and operating environment.
Representative Cloud Engagement Pattern
A representative engagement may combine estate and dependency assessment, target architecture and landing zones, staged migration or platform delivery, infrastructure as code, operating controls and structured handover. This describes a possible scope, not a delivered client result, fixed timeline or guaranteed outcome.
Cloud problems we solve
Cloud Problems That Block Delivery, Reliability and Cost Control
Cloud programs stall when architecture, migration, developer workflows, security and cost governance are treated as separate initiatives. CodeCones connects those decisions into one cloud and platform engineering plan, then delivers the infrastructure, automation and operating practices required to run it.
Cloud spend grows without clear ownership or allocation.
FinOps governance, cost allocation, budget guardrails, rightsizing and commitment planning.
Legacy infrastructure slows releases and raises migration risk.
A workload-by-workload modernization and migration plan with testing, rollback and staged cutover.
Developers depend on tickets and inconsistent environments.
A self-service internal developer platform with paved roads, reusable templates and automated environments.
Manual provisioning and release steps create drift and failure risk.
Version-controlled infrastructure as code, CI/CD, policy checks and repeatable deployment paths.
Security and resilience controls arrive late.
Identity, secrets, observability, backup, recovery and compliance controls built into the platform.
Six core services
Cloud & Platform Engineering Services From Assessment Through Operations
We connect cloud foundations, developer experience, delivery automation, reliability, cost governance and security into one practical engineering path. Deeper SRE, Data Engineering and MLOps, or advisory work stays with the specialist service that owns it.
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Platform capabilities
A Cloud Platform Built Around the Work
These representative capabilities show how we turn cloud engineering principles into usable platform, security, delivery, reliability and cost controls.
Cloud platform capability
Multi-cloud architecture and migration
People. Technology. Impact.
Why CodeCones for Cloud Engineering
Cloud outcomes depend on more than provisioning infrastructure. We connect platform, product, security, reliability, data and delivery context so the environment can be used and owned.
Platform and product context
- Cloud decisions stay connected to the products, data, AI workloads and teams that depend on them.
- We design around existing investments and operating constraints rather than forcing a default platform.
Security and reliability by design
- Identity, policy, observability, incident paths, recovery and change control are delivery concerns from the start.
- The right depth of SRE is brought in when reliability ownership or production operations need specialist focus.
Developer experience that teams can own
- Internal platforms and golden paths are made discoverable, reusable and understandable for the people who use them.
- Documentation, runbooks and handover keep the platform maintainable after the engagement.
Cloud Partner Accreditations
50+ Cloud and DevOps Engineers. Cloud infrastructure, SRE, platform, and DevOps specialists across AWS, Azure, and GCP.
Delivery approach
A Cloud Engineering Journey With Clear Decision Gates
A phased path keeps architecture, implementation, validation and handover connected without prescribing a fixed timeline.
Production controls
Controls Built Into the Cloud Platform
Controls are tailored to the workload and ownership model. They make the important cloud trade-offs visible without promising a universal architecture or operating result.
Identity and access boundaries
01Least-privilege access, environment separation and data boundaries are aligned to the workload and operating model.
Infrastructure and policy as code
02Versioned definitions and policy checks make infrastructure changes reviewable, repeatable and easier to audit.
Observability and reliability signals
03Metrics, logs, traces, service objectives, alert quality and incident paths keep production behavior visible.
Release, rollback and recovery
04Deployment gates, progressive delivery where appropriate, rollback and recovery planning reduce the impact of change.
FinOps and capacity controls
05Allocation, budgets, utilization and capacity signals help owners make transparent cost and performance trade-offs.
Ownership and handover
06Architecture records, documentation, runbooks and explicit responsibilities support operation beyond delivery.
Deep reliability operations belong in our site reliability engineering services. Model and data operations belong in our data engineering and MLOps services. Buyers who need an independent decision before delivery can use the cloud architecture advisory pathway.
How We Work
Choose the delivery model that fits your team
Own an outcome with an end-to-end product team, or add senior specialists inside your existing delivery team.
Own the outcome with an end-to-end product team
Use CodeCones to shape, build, and operate an AI or software product with accountable delivery from discovery and architecture through release, observability, and handover.
Build My ProductAdd senior specialists inside your delivery team
Embed experienced AI, software, data, cloud, or DevOps engineers into an existing team with a defined capability gap, ownership model, and working cadence.
Build My TeamHover a tile to explore: clickTap a tag to jump to that section
Industry expertise
Cloud Engineering for High-Impact Industries
Healthcare
Where data latency costs patient outcomes.
Retail
Personalization that converts, powered by clean data.
Technology
Ship AI-enabled products with engineering discipline.
Manufacturing
Predict failure before the line goes down.
Financial Services
Compliance at speed, without the manual overhead.
Smart Buildings
Where building data becomes operational intelligence.
Industry scale and outcomes
The cloud operating challenge spans every industry
These independent research figures describe modeled or surveyed industry conditions, including cloud waste and downtime cost. They are not CodeCones client results, savings guarantees or a substitute for assessing your environment.
20–30%
modeled EBITDA improvement from successful cloud migration with full operational transformation
McKinsey:Cloud's Trillion-Dollar PrizeUp to 70%
estimated cloud spend associated with idle, oversized or unoptimized resources in some studies
Gartner:Optimize Cloud Spending$970,856
average annual downtime cost reported across surveyed organizations
IDC:Disaster Recovery and Cyber-RecoveryTechnology stack
Technology Selected for Your Cloud Operating Model
We select cloud services, platform tooling, delivery automation, observability and cost controls around the workload, existing environment, governance needs and team ownership. This representative list is not exhaustive and does not imply every tool is used on every engagement.
- AWS, Cloud platform
- Azure, Cloud platform
- Google Cloud, Cloud platform
- Kubernetes, Container platform
- Terraform, Infrastructure as code
- Docker, Containers
- CI/CD, Delivery automation
- OpenTelemetry, Observability
- Prometheus and Grafana, Monitoring
- FinOps, Cost governance
- Policy as code, Security control
Technology selection follows the workload and client environment. The accessible semantic list is the source for this presentation-only marquee.
FAQs
Cloud Engineering Services FAQs
Direct answers about cloud platforms, platform engineering, security, reliability, cost, delivery boundaries and ownership.
People. Technology. Impact.
Build a Cloud Platform Your Teams Can Ship On
Tell CodeCones about your current cloud or infrastructure estate, the workloads or developer workflows involved, and the outcome you need. We will identify the architecture questions, migration or platform dependencies, and the most practical next step for assessment and delivery.
Outcomes-driven engineering: from discovery to deployment and beyond.
Cloud Engineering Insights
ARTICLE
AI Software Development Lifecycle: From Discovery to Production
A seven-stage, evidence-based framework for designing, validating, releasing, and operating production AI systems.
VIDEO
Why Case-First, Not Ticket-First? | Beyond the Ticket — Episode 1
What changes when an organization manages the customer problem instead of treating every interaction as a separate ticket? A single customer issue can span multiple emails, calls, channels, departments, tasks and decisions. When those interactions are handled independently, teams can lose context, ownership can become unclear, and customers may be forced to repeat themselves. In Episode 1 of Beyond the Ticket, Shahzaib Ali, Product Manager at ResolveCX, explains the thinking behind ResolveCX’s case-first philosophy. Rather than making the individual interaction the center of work, ResolveCX is designed around the underlying case — connecting the customer issue with its conversations, people, actions, evidence, ownership and escalations throughout the resolution journey. The distinction matters because Customer Operations should ultimately be measured by more than activity. The question is not simply: “Was the ticket closed?” It is: “Was the customer’s problem actually resolved?” About Beyond the Ticket Beyond the Ticket is ResolveCX’s product-led education series exploring why modern Customer Operations should work differently. Each episode examines a real operational problem, product philosophy, capability or design decision behind ResolveCX — and explains what that thinking changes for organizations and their customers. About ResolveCX ResolveCX is an AI-powered Customer Operations Platform designed to help organizations intelligently manage customer cases, complaints, escalations, problems and incidents through structured workflows, governance, automation and operational intelligence. Its case management model is specifically designed to create a case-first operating record across teams, channels and shifts, helping reduce context reconstruction and rework while improving accountability. What do you think? Should Customer Operations be organized primarily around interactions, or around the underlying customer problem? Connect with ResolveCX Website: https://www.resolvecx.global LinkedIn: https://www.linkedin.com/company/resolvecxglobal X / Twitter: https://x.com/resolvecx Facebook: https://www.facebook.com/resolvecx YouTube: https://www.youtube.com/@resolvecx.global Sales Email: sales@resolvecx.global
ARTICLE
Platform Engineering at Scale: How Modern Enterprises Build Resilient, Governed, AI-Ready Systems
Executives feel the symptoms: rising costs, increasing incidents, slower releases, long before they understand the root cause. Learn why most enterprise systems don't scale and how cloud-native platform engineering changes the equation.
VIDEO
ResolveCX: Problem Management Software | Eliminate Recurring Failures at the Root
Resolving an incident restores operations. But when the same failure keeps returning, repeatedly resolving it only treats the symptom. ResolveCX Problem Management Software helps organizations identify recurring patterns across incidents, complaints, and cases, investigate their underlying causes, document known errors and workarounds, implement permanent remediation, and verify that the problem has actually been eliminated. In this video, see how ResolveCX combines structured problem investigations, AI-powered pattern detection, root-cause intelligence, remediation governance, recurrence monitoring, and customer-risk intelligence to help teams move from repeatedly reacting to failures to preventing them from returning. ResolveCX's current Problem Management model connects related incidents, complaints, and cases to structured problem records; supports documented root-cause investigation; maintains known errors and workarounds; tracks remediation with owners, timelines and success criteria; and verifies closure through recurrence monitoring. What You'll Learn • How ResolveCX identifies recurring patterns across incidents, complaints, and cases • How AI clusters related issues and supports root-cause investigation • How teams maintain structured problem records with evidence, findings, ownership, and impact • How Known Errors and documented workarounds help teams resolve recurring incidents faster • How permanent remediation is governed through owners, timelines, responsibilities, and success criteria • How ResolveCX monitors recurrence and verifies remediation before problem closure • How complete audit trails support operational governance and regulatory review • How recurring problems can be connected to affected customers and churn risk • How Problem Management helps reduce repeat incidents and operational effort The platform also surfaces customer exposure within problem investigations, allowing remediation priority to reflect both operational severity and commercial/customer risk. Chapters 00:00 Why Recurring Incidents Become Problems 00:18 Detecting Recurring Patterns 00:35 AI-Powered Root Cause Intelligence 00:53 Root Cause Investigation & Known Errors 01:13 Structured Remediation Planning 01:29 Verification, Recurrence Monitoring & Governance 01:43 Customer Impact & Business Outcomes 01:53 Stop the Problem From Happening Again ------------------------------------------------------------------------------ Learn More 🌐 Explore ResolveCX https://www.resolvecx.global 🔍 Explore ResolveCX Problem Management https://resolvecx.global/problem-management 📚 ResolveCX Knowledge Hub & Resources https://resolvecx.global/knowledge-hub 📅 Book a Demo / Discuss Your Project https://resolvecx.global/contact 📧 Contact ResolveCX sales@resolvecx.global Follow ResolveCX LinkedIn https://www.linkedin.com/company/resolvecxglobal X (Twitter) https://x.com/resolvecx Facebook https://www.facebook.com/resolvecx YouTube https://www.youtube.com/@resolvecx.global ------------------------------------------------------------------------------------ Watch More ResolveCX Product Solutions 🎥 ResolveCX Product Solutions Playlist https://youtube.com/playlist?list=PLNpCdaS562ao&si=jDAEQBGyXOqJLouw About ResolveCX ResolveCX is an AI-native resolution governance platform, built from the ground up around AI rather than adding it to a legacy system, using intelligent classification, routing, summarisation, sentiment analysis, agent assistance, SLA risk detection, and automation to manage complaints, cases, escalations, problems, and incidents from intake through resolution. ResolveCX is the flagship product of CodeCones, an AI-first software development company specializing in intelligent solutions that transform how businesses operate. #ResolveCX #ProblemManagement #ProblemManagementSoftware #RootCauseAnalysis #IncidentManagement #OperationalExcellence #AI #CustomerOperations
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