Improve application resilience with service dependency visibility
Reduce service disruption with user-journey monitoring, service topology mapping, and Internet Stack visibility that help teams isolate issues faster and maintain application availability.
Key Benefits:
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Proactive service monitoring: Monitor internal and external service dependencies to identify issues before they disrupt application availability.
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User journey visibility: Track critical transactions across applications, APIs, and providers to quickly isolate failing service components.
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Internet Stack intelligence: Correlate application issues with DNS, CDN, SSL, routing, and provider health to accelerate troubleshooting.
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Service-level assurance: Align monitoring and alerting to service-level objectives to reduce incident impact and improve operational consistency.
90%
Less alert noiseBuilt to improve resilience across every application layer
Detect transaction failures before users are impacted
Monitor critical user journeys across browsers, APIs, and third-party services from public and private vantage points. Identify failed transactions early and drill directly into affected application components, providers, and infrastructure paths.
Visualize service relationships for faster issue isolation
Map application services, APIs, Internet Stack components, and third-party providers in a live operational topology. Correlate transaction failures, alerts, and service health in one workflow to accelerate troubleshooting and reduce cross-team escalation.
Monitor critical Internet Stack services in real time
Track DNS, CDN, SSL, routing, and provider performance alongside application telemetry and user experience data. Correlate service disruptions with broader provider incidents to quickly determine whether issues originate internally or externally.
Resolve application issues faster across distributed services
Combine synthetic monitoring, distributed tracing, infrastructure telemetry, and operational context in a unified investigation workflow. Reduce time spent switching tools and isolate the most likely source of application disruption faster.
AI AGENT FOR APPLICATION RESILIENCE
AI-guided investigation for resilient application operations
Edwin AI accelerates application incident investigations by correlating telemetry, service relationships, alerts, and operational context across distributed environments. Prioritize incidents faster, reduce manual triage effort, and guide teams toward the most likely source of disruption.
67%
ITSM incident reduction
88%
noise reduction
GET ANSWERS
FAQs
Get the answers to the top application resilience questions.
What is application resilience?
Application resilience is the ability for applications and their supporting services to continue operating during outages, performance degradation, dependency failures, or infrastructure disruptions. Resilient applications combine monitoring, visibility, and operational context to help teams detect issues early, maintain service availability, and reduce user impact.
Why is application resilience harder in distributed environments?
Modern applications depend on APIs, cloud platforms, CDNs, DNS providers, SaaS services, and other third-party infrastructure outside direct operational control. As architectures become more distributed, identifying the source of disruption becomes more difficult. Application resilience improves visibility across these dependencies so teams can isolate issues faster and maintain service continuity.
How does user-journey monitoring improve application resilience?
User-journey monitoring validates critical transactions across applications, APIs, and supporting infrastructure before users experience failures. By continuously testing workflows from public and private vantage points, teams can detect degraded experiences early, identify affected components faster, and reduce downtime for employees and customers.
What is Internet Stack visibility?
Internet Stack visibility provides operational insight into external services and infrastructure that applications depend on, including DNS, CDN, SSL, routing, cloud, and provider performance. Monitoring these components alongside application telemetry helps teams quickly determine whether issues originate internally or from third-party dependencies, accelerating troubleshooting and reducing unnecessary escalations.
How does service topology mapping help operations teams?
Service topology mapping visualizes how applications, APIs, infrastructure, and third-party services interact in real time. By correlating alerts, transactions, dependencies, and service health in one operational view, teams can reduce investigation time, simplify cross-team troubleshooting, and identify the most likely source of disruption faster.
How does Edwin AI support resilient application operations?
Edwin AI helps operations teams investigate incidents faster by correlating telemetry, alerts, topology relationships, and operational context across distributed environments. Instead of manually switching between tools and dashboards, teams receive guided investigation workflows that accelerate issue isolation and reduce manual triage effort.
Can application resilience monitoring support service-level objectives?
Yes. Application resilience monitoring helps teams align alerting, transaction monitoring, and operational visibility to service-level objectives and availability targets. Continuous visibility into application performance and supporting dependencies helps reduce incident impact, improve operational consistency, and maintain expected service levels.
Do teams need agents deployed across every environment?
No. Application resilience strategies can combine public and private monitoring vantage points, synthetic monitoring, infrastructure telemetry, and service-level visibility without requiring agents deployed everywhere. This helps teams gain broader operational coverage across internal and external dependencies while reducing deployment complexity.



