Managed Cloud for Ecommerce

Fast Storefronts. Reliable Checkout. Infrastructure Ready for the Rush.

A managed ecommerce cloud solution for brands and marketplaces that need predictable performance through everyday orders, major campaigns, and seasonal peaks.

Request Free Sandbox Access Talk to a Cloud Engineer

No credit card required. Bring your current stack and traffic profile.

The Problem

Your Highest-Revenue Moments Should Not Be Your Highest-Risk Moments

Peak Traffic Turns Growth Into Infrastructure Risk

Campaigns, launches, and seasonal demand expose every weak point at once.

Storefront latency increases when concurrent shoppers spike.
Checkout and inventory services compete for constrained resources.
A successful campaign becomes an incident-response event.

Every Slow Page Costs Revenue

Ecommerce performance is directly tied to conversion and customer trust.

Heavy catalog pages and third-party scripts increase load time.
Database bottlenecks surface during search, cart, and checkout activity.
Intermittent slowness is difficult to reproduce after the sale ends.

Cloud Costs Rise With Orders, Traffic, and Data Transfer

Usage-based infrastructure makes high-volume months difficult to forecast.

Compute, CDN, database, logging, and egress charges compound.
Overprovisioning protects revenue but leaves expensive idle capacity.
Finance receives a variable infrastructure bill after the revenue event.

The Solution

Ecommerce Infrastructure Designed Around Conversion, Orders, and Peak Demand

Dedicated Kubernetes infrastructure, performance engineering, and managed operations for the complete path from storefront request to fulfilled order.

Protect the customer journey without turning your product team into a 24/7 infrastructure team.

High-performance storefront delivery

Design caching, CDN, and application delivery around real shopping journeys.
Keep catalog, search, cart, and checkout paths responsive under load.
Monitor customer-facing latency as a business-critical signal.

Peak-event capacity planning

Model expected concurrency before campaigns and seasonal events.
Load-test critical services and remove bottlenecks before traffic arrives.
Define scaling thresholds, incident runbooks, and rollback paths.

Reliable checkout and payment integrations

Isolate checkout, payment callbacks, and order-processing workloads.
Protect critical transaction flows from less important background jobs.
Trace failures across gateways, queues, databases, and fulfillment systems.

Managed Kubernetes operations

Run application services, workers, and scheduled jobs on dedicated capacity.
Include monitoring, backups, patching, and incident response.
Keep operational accountability with the engineers who design the platform.

Predictable infrastructure economics

Scope steady-state capacity at a flat monthly price.
Avoid surprise line items for routine production operations.
Plan infrastructure cost before promotions and high-volume periods.

Portable, integration-friendly foundation

Use standard Kubernetes and open tooling instead of a proprietary platform.
Connect existing commerce, ERP, warehouse, payment, and analytics systems.
Keep public-cloud services where they remain the better fit.

Architecture Overview

A typical managed ecommerce cloud environment:

Shoppers / Mobile Apps / Marketplaces
                  |
           CDN + WAF + DDoS
                  |
          Load Balancer / Ingress
                  |
      Kubernetes Cluster (Dedicated)
      |- Storefront + Commerce APIs
      |- Cart + Checkout + Orders
      `- Workers + Scheduled Jobs
                  |
 Database | Cache | Search | Queues
                  |
Payments | ERP | WMS | Analytics
                  |
 Monitoring | Backups | Alerts | DR

Customer paths protected

Storefront, cart, and checkout resources are prioritised around revenue impact.

Peak events rehearsed

Capacity, load tests, alerts, and runbooks are prepared before traffic arrives.

Operations owned end to end

The same engineering team manages infrastructure health, backups, and incidents.

Who It Fits

Built for Ecommerce Teams Where Performance and Availability Protect Revenue

D2C Brands Running Campaign-Driven Traffic

Revenue arrives in concentrated bursts that the platform must absorb cleanly.

Prepare infrastructure before launches and influencer campaigns.
Protect checkout while traffic and catalog activity spike.
Scale without turning every promotion into an engineering war room.

Plan infrastructure for your next campaign

Multi-Store and Multi-Brand Commerce Platforms

Shared services need clear isolation and predictable performance.

Separate noisy workloads across stores, brands, or regions.
Standardise deployments without forcing every storefront into one release.
Keep platform-wide observability and operational ownership.

Review multi-store delivery workflows

Marketplace and High-SKU Catalog Teams

Search, inventory, pricing, and order workflows place sustained pressure on data systems.

Tune databases and caches around catalog access patterns.
Protect inventory consistency during concurrent order activity.
Scale workers and queues without delaying customer-facing requests.

Review marketplace architecture

B2B Ecommerce and Wholesale Portals

Complex pricing, accounts, and order rules require reliable backend services.

Support account-specific catalogs and contract pricing.
Integrate ERP, warehouse, and invoicing workflows.
Keep long-running jobs away from interactive customer traffic.

Explore connected commerce architecture

Teams Migrating From Shared or Managed Hosting

Growth has outpaced the control and observability of the current platform.

Move away from resource contention and opaque performance limits.
Gain application, infrastructure, and database visibility.
Migrate incrementally without rebuilding the commerce application.

Discuss an ecommerce migration

Commerce Teams With a Small Engineering Function

The business needs production reliability without building a platform team.

Put monitoring, patching, backups, and incidents with one accountable team.
Keep developers focused on merchandising and customer experience.
Use direct engineer access instead of a generic hosting queue.

See managed infrastructure options

Process

From Storefront Review to a Validated Cloud Environment

Step 1

Request Sandbox Access

Share your commerce stack, traffic profile, and critical integrations.

Tell us about storefronts, catalog size, orders, and peak events.
Include current hosting pain points and upcoming campaign dates.

Step 2

Architecture and Peak-Load Review

An engineer maps the customer journey to the infrastructure behind it.

Review delivery, checkout, payments, data stores, queues, and integrations.
Define capacity, observability, security, backup, and recovery requirements.

Step 3

Sandbox and Load Validation

Test the design with your application before committing.

Deploy representative services to a managed private cloud sandbox.
Benchmark critical flows and review a fixed monthly production scope.

Validate your commerce stack on a managed private cloud before committing.

Request Free Sandbox Access

Comparison

Move Beyond Hosting That Treats Every Ecommerce Workload the Same

Compare generic hosting and usage-based cloud services with infrastructure planned around storefront performance, checkout reliability, and peak events.

Area	Generic Hosting / Public Cloud	Mayan.Host Ecommerce Cloud
Infrastructure model	Shared limits or usage-based public cloud services	Dedicated capacity scoped to the commerce workload
Peak readiness	Scaling reacts after thresholds are crossed	Capacity plan, load validation, and runbooks before the event
Checkout isolation	Critical and background workloads may compete	Checkout and order paths can receive dedicated resources
Operations	Internal team or fragmented provider support	Monitoring, backups, patching, and incident response included
Cost model	Traffic, requests, egress, and services vary monthly	Flat-rate monthly scope for predictable workloads
Observability	Multiple tools and incomplete transaction context	Application and infrastructure signals reviewed together
Integrations	Platform-specific constraints can accumulate	Open integration model for payments, ERP, WMS, and analytics
Portability	Managed dependencies can make exits expensive	Standard Kubernetes and open tooling

Review Your Ecommerce Stack Hybrid Cloud SRE Services

Operational Confidence

Built for Revenue-Critical Commerce Workloads

Peak-event readiness

Capacity PlanningLoad ValidationRunbooks

Prepare the system, alerting, and response plan before campaigns and seasonal demand.

Checkout and order reliability

Workload IsolationTransaction TracingQueue Health

Give revenue-critical flows clear resources, observability, and escalation paths.

Managed production operations

24/7 MonitoringBackupsSecurity Patching

Keep routine operations and infrastructure incidents with an accountable engineering team.

Open commerce integrations

PaymentsERPWMSAnalytics

Connect the services your business already depends on without locking the platform to one vendor.

View Private Cloud Pricing

Sandbox

Test Your Ecommerce Workloads Before You Commit

Bring a representative storefront, API, worker, or checkout flow and validate it with a Mayan.Host engineer.

Use a Real Environment

Deploy representative commerce services on dedicated infrastructure.
Review performance, observability, and integration requirements.
Understand the production architecture and monthly cost before migration.

No credit card. No usage-limited demo. No commitment.

What the sandbox includes

Dedicated Kubernetes environment configured for your commerce stack
Monitoring and logging for storefront, checkout, and backend services
Secure connectivity plan for payments and business-system integrations
Direct access to a Mayan.Host cloud engineer

Request Free Sandbox Access

FAQ

Common Questions About Ecommerce Cloud Infrastructure

Which ecommerce platforms can run on this solution?

The infrastructure is designed around the application rather than a single commerce vendor.

Support custom storefronts and common containerised commerce platforms.
Integrate headless frontends, APIs, workers, databases, caches, and search services.
Review platform-specific requirements during the architecture assessment.

Can you prepare the platform for a major sale or product launch?

Yes. Peak-event readiness is a core part of the solution.

Review expected sessions, checkout volume, catalog activity, and integration limits.
Load-test critical paths and tune capacity before the event.
Define monitoring thresholds, escalation paths, and rollback procedures.

Can we keep our CDN, payment gateway, or managed database?

Yes. Existing services can remain where they provide clear value.

Connect external CDN, payment, fraud, tax, ERP, and warehouse systems.
Use hybrid architecture when a public-cloud or SaaS component is still the right choice.
Design data flows and operational ownership across the complete system.

How does ecommerce cloud pricing work?

Production pricing is scoped to the capacity and managed services your platform needs.

Base steady-state infrastructure on a predictable monthly allocation.
Include the agreed monitoring, backup, patching, and operations scope.
Plan temporary or permanent capacity changes before known peak periods.

Will migration cause storefront downtime?

Migration is planned in stages to reduce customer impact.

Validate the application and integrations in a parallel environment.
Move data and traffic with rehearsed cutover and rollback procedures.
Schedule the final transition around business and order-volume constraints.

Do we need an internal DevOps team?

No. Mayan.Host can operate the environment end to end.

We handle provisioning, monitoring, patching, backups, and incident response.
Your developers continue using familiar source-control and deployment workflows.
Existing DevOps teams can collaborate directly with our engineers when available.

Next Step

Make Your Next Traffic Spike a Revenue Event, Not an Infrastructure Incident.

Review your storefront, checkout, integrations, and peak-demand plan with a cloud engineer.