FiftyFive engineered an automated synthetic monitoring platform for an enterprise software company. The system simulates user interactions and measures website and API performance globally. FiftyFive containerised, orchestrated, and automated the infrastructure lifecycle to ensure consistent monitoring, availability, and reduced operational overhead.
Build Your Platform With UsThe client is an enterprise software company with website and API endpoints serving users across multiple regions. It engaged FiftyFive to modernise its synthetic monitoring framework and build reliable, automated, and highly available distributed infrastructure.
Synthetic monitoring had to behave identically across every region while supporting automated provisioning, efficient container scheduling, centralised configuration, and fault tolerance without introducing false performance signals.
FiftyFive engineered a fully automated, containerised, multi-region monitoring system. Infrastructure provisioning, configuration, scheduling, packaging, and deployment were standardised so every probe behaves consistently. DevOps, cloud, and backend specialists delivered the architecture and automation pipelines end to end.
FiftyFive used Terraform to define and provision the complete monitoring estate as version-controlled infrastructure.
FiftyFive configured HAProxy to distribute traffic efficiently across global monitoring endpoints.
FiftyFive deployed Puppet with Foreman to govern environments and configuration from one point.
FiftyFive deployed Nomad agents to schedule and execute monitoring jobs across the distributed fleet.
FiftyFive containerised monitoring workloads with Docker and built unified automated deployment pipelines.
Team
The new architecture provides real-time visibility into website and API performance across global locations. Automated workflows and containerisation reduce deployment effort and operational overhead while improving reliability.
Terraform-driven infrastructure automation reduced deployment time across global monitoring environments by 60%.
Docker containerisation improved resource utilisation across distributed monitoring workloads by 40%.
Puppet and Foreman standardised configuration and reduced drift across global environments.
Distributed Nomad orchestration improved availability and reliability across monitoring infrastructure.
Synthetic monitoring uses scripted probes to simulate website and API interactions from predefined locations, measuring availability, response time, and transaction success on a fixed schedule.
Synthetic monitoring runs controlled scheduled tests, while Real User Monitoring gathers performance data from actual visitors. Enterprises often combine both for proactive detection and real-world visibility.
Multi-region probes reveal geographic differences in latency, routing, availability, and CDN behaviour that a single monitoring location cannot detect.
Terraform defines infrastructure as version-controlled code, enabling identical provisioning, updates, and teardown across regions without manually built environments.
Nomad schedules and orchestrates numerous short-lived monitoring jobs across distributed regions, improving reliability without custom orchestration logic for every location.
Nomad suits lightweight batch scheduling across many regions, while Kubernetes provides a broader ecosystem for long-running services. The right choice depends on workload shape and existing platform capability.
Docker packages monitoring jobs with dependencies so they behave identically across regions, reducing environment-related variance and improving deployment reproducibility and resource density.
Puppet defines and enforces desired configuration state, while Foreman provides provisioning and lifecycle visibility across distributed infrastructure, preventing configuration drift.
Distributed orchestration, load balancing, regional redundancy, and infrastructure as code prevent single failures from stopping measurements and allow failed components to be rebuilt consistently.
Security requires controlled infrastructure access, protected probe credentials, isolated containers, centralised configuration, and an auditable record of infrastructure and setting changes.
Timelines depend on region count, endpoint complexity, existing infrastructure, provisioning requirements, and rollout scope. Regions can be added incrementally after the automated foundation is established.
Dedicated teams can combine DevOps, cloud, and backend engineers to extend an existing platform group or own the monitoring-infrastructure build end to end.
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