Logiciel Solutions Contact Us
Success Stories Tech News Investors Contact Us

How AdLaunch Modernized Its AWS Infrastructure with Amazon ECS.

Logiciel Solutions, an AWS Partner, helped AdLaunch move from a single-server architecture to a containerized platform built on Amazon Elastic Container Service (Amazon ECS). The previous environment left the platform dependent on one Amazon EC2 instance, creating a single point of failure and limiting its ability to respond to changing demand.

By introducing containerized application services, load balancing, and automated scaling, Logiciel established a more resilient and scalable foundation for AdLaunch’s continued growth.

Build with Us See the Impact
ECS
Containerized application services
ALB
Traffic spread across healthy targets
Auto
Task scaling by policy
6
AWS services in the solution
Client profile

Who we built it for.

Company
AdLaunch
Industry
Advertising technology (AI-powered campaign creation and launching for marketing agencies and local businesses)
Trigger event

The whole platform ran on a single Amazon EC2 instance: a single point of failure with no load balancing and no automated scaling.

The challenge

What stood in the way.

AdLaunch initially operated its platform on a single Amazon EC2 instance. While this architecture supported the platform’s early needs, it created operational constraints as the business grew.

With application workloads concentrated on one server, the environment had a single point of failure. If the instance experienced performance degradation or became unavailable, the platform could be affected because no alternative application capacity was available to take over.

Troubleshooting infrastructure incidents competed with development work, and the existing architecture offered limited flexibility for handling growth.

01

Single point of failure

One Amazon EC2 instance carried every application workload, with no alternative capacity to take over.

02

No traffic distribution

Without a load balancer, incoming traffic could not be spread across application instances.

03

No automated scaling

Responding to changes in demand meant manual adjustment.

04

Incidents competing with development

Infrastructure troubleshooting pulled the engineering team away from product work.

Why they chose Logiciel

A partner proven at scale.

01

An AWS Partner with hands-on experience in containerization, cloud architecture, networking, infrastructure automation, and CI/CD.

02

A design aimed at removing the single-server dependency and handling traffic fluctuations.

03

A consistent, repeatable deployment model that gives the team a more manageable foundation for future development.

04

End-to-end delivery: containerization, ECS deployment, load balancing, scaling, monitoring, and the production cutover.

The solution

How we built it.

Layer 01
Before and after
Before: all traffic and all risk on a single Amazon EC2 instanceNo load balancer, no autoscalingAfter: Application Load Balancer in front of Amazon ECS tasksTasks added and removed with load
Layer 02
Containerized services on Amazon ECS
Applications packaged into container imagesImages stored in Amazon ECR as a consistent deployment unitWorkloads run as independently managed ECS servicesTasks managed and scaled independently of one server
Layer 03
Load balancing and automated scaling
Application Load Balancer distributes requests across healthy targetsRequests routed away from unhealthy targetsECS Service Auto Scaling adjusts the number of running tasksScaling follows configured policies
Layer 04
Monitoring and cutover
Amazon CloudWatch logs, metrics, and alarmsOperational visibility to investigate issuesNew environment validated by LogicielProduction cutover coordinated to the new architecture
Layer 05
AWS services used
Amazon ECS: orchestrates containerized application servicesApplication Load Balancer: distributes traffic across healthy targetsECS Service Auto Scaling: adjusts running tasks to scaling policiesAmazon ECR: stores application container imagesAmazon CloudWatch: logs, metrics, and alarmsAmazon RDS for MySQL: managed MySQL database
Results & impact

What shipping it actually changed.

Improved fault tolerance

Distributing application workloads across healthy targets reduces the risk that an individual task failure will interrupt the entire service, provided sufficient healthy capacity remains available.

More responsive capacity management

Automated scaling lets the platform adjust the number of application tasks as demand changes, subject to configured scaling policies and available infrastructure capacity.

Improved deployment consistency

Containerized applications provide a consistent packaging and deployment model, making application releases easier to manage.

Better operational visibility

CloudWatch logs, metrics, and alarms help the engineering team monitor application health and investigate issues.

Reduced operational overhead

The updated architecture reduces reliance on manual, single-server management and gives the team more flexibility to focus on application development and platform improvements.

Strategic partnership

More than a project.

01

Reduced dependence on one server

The platform no longer rests on a single Amazon EC2 instance.

02

Built for changing demand

Load balancing and scaling policies handle traffic fluctuations without manual intervention.

03

A foundation for growth

A more manageable base for future development and AdLaunch’s evolving operational requirements.

Why it matters for tech leaders

A blueprint for scaling without chaos.

A single server is a single point of failure, however well it served the early platform.
Containers, a load balancer, and scaling policies turn capacity into something the platform adjusts, not something the team babysits.
Centralized logs, metrics, and alarms keep incident work from competing with product development.
Build to last

Move Past the Single Server.

If one instance still carries your platform, let’s design a more resilient, scalable path on AWS together.

Start Your Project