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AWS Cloud Solutions & Consulting Services | AppsLoading
AWS CLOUD SOLUTIONS COMPANY

AWS systems built for resilience, velocity and controlled cloud growth.

AppsLoading designs, migrates and operates AWS environments for modern digital products. From VPC architecture and migration to Lambda, ECS, EKS, databases, security, observability, disaster recovery and cost optimisation, we build cloud foundations that teams can actually run.

✓ AWS architecture & migration✓ EC2, Lambda, ECS & EKS✓ Security, data & observability✓ FinOps & managed operations
Workload-firstChoose services around real runtime needs
Resilience-awarePlan for failure, recovery and continuity
Operations-readyMonitoring, ownership and cost built in
EC2
Lambda
ECS
EKS
Fargate
RDS
Aurora
DynamoDB
S3
CloudFront
IAM
VPC
CloudWatch
Terraform
EC2
Lambda
ECS
EKS
Fargate
RDS
Aurora
DynamoDB
S3
CloudFront
IAM
VPC
CloudWatch
Terraform
AWS AS AN OPERATING PLATFORM

Cloud architecture is more than choosing AWS services. It is deciding how the whole system behaves.

We connect application runtime, networking, identity, data, deployment, monitoring, resilience and cost into one operating model. That keeps the AWS estate understandable as traffic, teams and workloads grow.

ApplicationRuntime, latency and scaling
PlatformNetwork, identity and automation
OperationsVisibility, recovery and cost
Cloud infrastructure servers
Cloud engineer working with infrastructure code
Architecture principleUse the simplest AWS operating model that meets the workload.Reduce unnecessary services, handoffs and operational surface area.
AWS landing zone and network infrastructure
FOUNDATIONAccounts · Network · Identity · Logging
LANDING ZONE & CLOUD FOUNDATION

Build the guardrails before the workloads.

A scalable AWS environment starts with account boundaries, network topology, access patterns, auditability and ownership. We design the base so new applications do not create a new infrastructure pattern every time.

01

Account structure

Separate production, non-production, shared services and security responsibilities.

02

Network architecture

VPCs, subnets, routing, ingress, egress and service connectivity planned for growth.

03

Identity and access

Roles, permissions, operational access and service identities defined with clear boundaries.

04

Logging and governance

Baseline audit trails, resource standards, tagging and change ownership from day one.

AWS SOLUTIONS & SERVICES

One AWS partner across architecture, migration and operations.

Engage AppsLoading for a complete cloud programme or a focused engineering stream.

AWS Cloud Architecture engineering visual
01
AWS SERVICE

AWS Cloud Architecture

Design VPCs, subnets, routing, compute, storage, databases and edge services around workload behavior instead of a one-size-fits-all reference stack.

ArchitectureNetworkingReliability
AWS Migration & Modernisation engineering visual
02
AWS SERVICE

AWS Migration & Modernisation

Plan workload waves, dependencies, data movement, cutover, rollback and post-migration optimisation for legacy, virtualised and cloud-hosted systems.

MigrationModernisationCutover
Serverless & Event-Driven Systems engineering visual
03
AWS SERVICE

Serverless & Event-Driven Systems

Build managed application flows with Lambda, API Gateway, queues, events, object storage and purpose-fit data services.

LambdaEventsManaged services
ECS, EKS & Container Platforms engineering visual
04
AWS SERVICE

ECS, EKS & Container Platforms

Create container delivery environments with image registries, workload isolation, autoscaling, ingress, secrets and observable deployment workflows.

ECSEKSFargate
AWS Security & Governance engineering visual
05
AWS SERVICE

AWS Security & Governance

Strengthen identity, account boundaries, VPC controls, encryption, secrets, logging, backup policy and operational guardrails.

IAMVPCKMSGovernance
AWS Optimisation & Managed Operations engineering visual
06
AWS SERVICE

AWS Optimisation & Managed Operations

Improve performance, cloud economics, alerting, backup, incident readiness and operational ownership after workloads go live.

FinOpsSREManaged support
MIGRATION RUNWAY

Move workloads in controlled waves, not one risky cutover.

Migration planning should reveal application dependencies, data gravity, network needs, recovery requirements and operational changes before production traffic moves.

Network infrastructure used during cloud migrationEngineers planning a cloud migration
Cutover is a checkpoint.Stabilisation and optimisation continue after go-live.
01

Discover

Inventory workloads, dependencies, data, interfaces, traffic and business criticality.

02

Classify

Choose rehost, replatform, refactor or retire paths based on value and risk.

03

Prepare

Create target accounts, network, security controls, automation and observability.

04

Migrate

Move workload and data waves with validation, rollback paths and owner sign-off.

05

Stabilise

Watch errors, performance, spend, backups and operating procedures after cutover.

WORKLOAD PLACEMENT

Choose compute by operating model, not by fashion.

Different workloads need different levels of control. We map runtime, deployment, scaling and team capability before selecting the compute layer.

ModelBest fitOperational profile
EC2Custom runtimes and OS controlHighest control
ECS / FargateContainer workloads with managed orchestrationBalanced
EKSKubernetes standardisation and portabilityPlatform-led
LambdaEvent-driven and short-lived executionManaged runtime
Compute servers representing AWS workload placement
EC2
ECS / EKS
Lambda
Software code for event-driven cloud systems
SERVERLESS & EVENT-DRIVEN

Design around events when constant infrastructure ownership adds no value.

Serverless can reduce operational work when application boundaries, asynchronous flows and failure handling are designed intentionally.

RequestAPI
→
LogicLambda
→
StateData
→
EventsQueue / Bus
  • API and event-triggered workloads
  • Retries, dead-letter paths and idempotency
  • Managed data and object-storage integration
  • Observability for asynchronous execution
Server infrastructure supporting AWS container platforms
ECS & EKS OPERATIONS

Container platforms should make delivery easier, not create a second product to maintain.

We define workload isolation, image lifecycle, deployment strategy, scaling, ingress, secrets, observability and cluster ownership as one operating model.

Image registryAutoscalingIngressSecretsGitOpsObservability
DATA & DATABASES

Match data services to access patterns, availability and operational needs.

Database decisions shape performance, recovery and cost. We plan relational, key-value, object and cache layers around the actual product workload.

Relational

RDS & Aurora

Transactional applications that need SQL, managed backups and replication patterns.

Key-value

DynamoDB

High-scale access patterns with managed capacity and event integration.

Object

Amazon S3

Durable application assets, documents, backups, logs and data-lake foundations.

Delivery

CloudFront

Edge delivery for static and dynamic content closer to users.

Storage infrastructure for AWS data platformsEngineer reviewing data and application code
SECURITY & GOVERNANCE

Make secure behavior the default path.

Security controls work better when identity, network boundaries, encryption, secrets, audit logs and environment standards are part of the platform instead of post-launch checklists.

IdentityRoles · policies · service access
NetworkVPC · segmentation · ingress/egress
DataEncryption · keys · secrets
EvidenceLogs · alerts · change history
Secure cloud engineering workstation
Baseline controlsIdentity → network → data → evidence
Cloud operations engineers monitoring production systems
Production healthNormal
LatencyErrorsCapacity
OBSERVABILITY & SRE

Know what is failing before customers become your monitoring system.

We connect metrics, logs, traces, alerts and runbooks to the services engineers actually own.

01

Service health

Track availability, latency, errors and saturation at the right level.

02

Useful alerting

Alert on actionable conditions instead of every metric movement.

03

Incident context

Put logs, traces, deployment history and runbooks close to the alert.

04

Operational ownership

Define who responds, what they inspect and when escalation happens.

RESILIENCE & DISASTER RECOVERY

Design recovery before you need it.

Availability zones, backups and replicas only create resilience when recovery priorities, dependencies and runbooks are defined and tested.

Redundant server infrastructure for disaster recovery
PrimaryAZ A
↔
ReplicaAZ B
→
BackupRecovery copy
Cloud engineer validating resilience procedures
RPO

How much recent data loss the business can tolerate.

RTO

How quickly service needs to return after an outage.

Runbook

The tested sequence for failover, validation and restoration.

FINOPS & COST OPTIMISATION

Cloud cost is an architecture signal, not just a finance report.

We connect resource usage, ownership and architectural choices so teams can understand why spend changes and where optimisation is safe.

RightsizeMatch resources to real workload demand.
ScaleUse autoscaling where demand changes materially.
StoreAlign storage classes and retention to data value.
CommitEvaluate pricing commitments for stable usage.
OwnUse tags and account boundaries for spend accountability.
Server systems representing AWS cloud cost optimisation
Optimisation loopMeasure → explain → change → verify
Infrastructure as code for AWS automation
INFRASTRUCTURE AS CODE & DELIVERY

Make infrastructure changes reviewable, repeatable and recoverable.

We use infrastructure-as-code and CI/CD patterns so environments can be reproduced, reviewed and changed through controlled workflows.

01Commit
→
02Validate
→
03Plan
→
04Approve
→
05Apply
TerraformCloudFormationGitHub ActionsGitLab CIPolicy checks
AWS DIRECTIONS

Different businesses need different AWS operating shapes.

We adapt the cloud platform to product maturity, workload profile and operational responsibility instead of repeating the same diagram.

Enterprise infrastructure modernisation
ENTERPRISE MODERNISATION

Controlled migration with governance, network and resilience first.

For estates with dependencies, compliance needs and operational change.

Cloud engineering team building SaaS platform
SAAS PLATFORM

Managed services, automation and scalable runtime.

Developer building event-driven cloud systems
EVENT-DRIVEN PRODUCT

Serverless workflows for variable or asynchronous demand.

OPERATING MODEL

Choose the level of AWS ownership you need from us.

Some teams need a build partner. Others need optimisation or ongoing operational support. We make responsibilities explicit.

01

Build

Architecture, implementation, migration and handover to your internal team.

  • Target architecture
  • IaC and CI/CD
  • Operational documentation
02

Optimise

Review an existing AWS environment for reliability, security, performance and cost.

  • Architecture review
  • Prioritised remediation
  • Cost and operations plan
03

Operate

Ongoing engineering support for cloud operations and continuous improvement.

  • Monitoring and incidents
  • Backup and security
  • Platform improvements
AWS TECHNOLOGY ECOSYSTEM

Services selected around workload and operating requirements.

The architecture can combine compute, data, edge, security and automation services without turning the platform into an unnecessary service catalogue.

ComputeEC2LambdaECSEKSFargate
DataRDSAuroraDynamoDBS3ElastiCache
Network & edgeVPCRoute 53CloudFrontLoad BalancingAPI Gateway
Security & opsIAMKMSSecretsCloudWatchAWS Backup
AutomationCloudFormationTerraformCI/CDContainer registryPolicy checks
AWS DELIVERY PROCESS

From workload assessment to operational ownership.

A six-stage delivery model with explicit architecture, security, migration and operations decisions.

01

Assess

Workloads, dependencies, traffic, data, risk and current cloud maturity.

Discovery
02

Architect

Accounts, network, compute, data, security, resilience and ownership.

Target state
03

Foundation

Landing zone, IaC, identity, logging and core platform controls.

Platform
04

Build / migrate

Implement services, move workloads and validate application behavior.

Engineering
05

Harden

Test monitoring, recovery, security, backup, performance and operational paths.

Validation
06

Operate

Transfer ownership or continue with managed optimisation and support.

Operations
WHAT YOU RECEIVE

AWS deliverables your engineering and operations teams can use after launch.

We document the platform so the cloud environment is not dependent on tribal knowledge.

01

Target architecture

Workload placement, network, data, security, resilience and service boundaries.

02

Infrastructure code

Repeatable provisioning and configuration for the agreed platform components.

03

Migration or build plan

Sequenced implementation, dependencies, validation and rollback considerations.

04

Monitoring and runbooks

Operational dashboards, alert logic, response steps and ownership paths.

05

Security baseline

Identity, access, network, encryption, logging and secrets expectations.

06

Cost and operations guidance

Tagging, ownership, scaling, optimisation and ongoing cloud-management practices.

INDUSTRIES & USE CASES

AWS engineering for products where availability and operational clarity matter.

Cloud foundations for SaaS, commerce, regulated products and operationally complex platforms.

SaaS product engineering
SAAS

Multi-environment application platforms

Fintech software engineering
FINTECH

Controlled access and operational visibility

Software engineering team
ENTERPRISE SOFTWARE

Modernisation and platform standardisation

Digital engineering and cloud development
ECOMMERCE & MARKETPLACES

Elastic workloads and transaction-heavy platforms

HealthcareEducationLogisticsTravelMediaManufacturingStartupsData products
WHY APPSLOADING

Cloud engineering that stays understandable after the architecture workshop ends.

We focus on practical service selection, clear ownership and operating workflows. The goal is an AWS platform your team can change confidently, not an impressive diagram nobody wants to touch.

01

Workload-first decisions

Architecture choices follow runtime and business needs instead of service popularity.

02

Operations included

Monitoring, recovery, access and cost are planned alongside the application architecture.

03

Automation over repetition

Infrastructure code and delivery workflows reduce manual drift across environments.

04

Clear handover

Documentation and operating guidance help internal teams own the environment.

Discuss your AWS environment →
Cloud engineering and AWS infrastructure
Architecture → operationsOne connected AWS operating model
SCOPE & INVESTMENT DRIVERS

What changes the size of an AWS engagement?

The effort is driven by workload complexity and operational risk, not simply the number of AWS services.

01

Workload count and coupling

More applications, dependencies and integration paths increase discovery and migration effort.

02

Data volume and migration complexity

Large databases, downtime constraints and consistency requirements change the migration path.

03

Security and compliance requirements

Stronger identity, network, audit and governance controls add platform work and validation.

04

Availability and recovery targets

Multi-zone, backup, replication and recovery testing depend on business continuity needs.

05

Automation maturity

Existing IaC and CI/CD can accelerate delivery; manual estates may require foundation work first.

What does an AWS architecture engagement include?

We review workloads, traffic, data, availability, security, integration and operating requirements, then define an AWS target architecture and implementation path.

Can you migrate existing applications and databases to AWS?

Yes. We can assess dependencies, define migration waves, prepare environments, move workloads and data, validate cutover and support post-migration stabilisation.

Can you modernise workloads during migration?

Yes. Depending on the system, modernisation can include managed databases, containers, serverless components, infrastructure automation and operational improvements.

READY TO BUILD OR IMPROVE YOUR AWS PLATFORM?

Create an AWS environment your product can grow on and your team can operate.

Share your current workloads, migration goals or cloud problems. We will recommend a practical next step.

Start your AWS project →
AWS infrastructure and cloud platform engineering