Application performance monitoring across distributed systems
Full visibility into how your applications behave in production, from the first request to the final database call. Distributed tracing, service maps, and anomaly detection that connects technical performance to business outcomes.
See exactly what your team will see
What it puts in front of your teams
Every capability is available from day one. No additional instrumentation required beyond the initial agent deployment.
See a live demonstrationEdge agent instrumentation
Lightweight agents with under 2% CPU overhead. Auto-discovery maps services without manual configuration.
Distributed tracing
Follow a single request across every microservice, queue and external dependency it touches.
Service map visualisation
Live topology of every service, its dependencies and the latency between them.
Anomaly detection from baselines
Machine learning baselines on normal behaviour, alerting only when patterns deviate meaningfully.
Root cause correlation
Correlate application errors with the infrastructure event, deployment or query that caused them.
Automatic slow transaction detection
Capture and surface the slowest transactions as they happen, with the full execution context behind them.
From signal to action in seconds
Deploy once
A lightweight Edge agent deploys to your environment. Auto-discovery maps services, hosts and applications without manual configuration.
Collect everything
A lending API slows down at noon every day. APM reveals a heavy database join query triggered by loan scoring. Developers optimise the query and the latency spike disappears.
Act with confidence
Anomaly detection, root cause analysis and AI-assisted recommendations give your teams the context to act fast and correctly.
Percentages are stated in Edge product documentation. They are not independently audited, and results depend on your environment.
Signals captured by APM
A lending API slows down at noon every day. APM reveals a heavy database join query triggered by loan scoring. Developers optimise the query and the latency spike disappears.
What changes for the business
Faster root cause
60% reduction in MTTR. Engineers reach the failing line rather than a shortlist of suspects.
Lower alert noise
Baseline-driven anomaly detection removes up to 90% of low-signal alerts, leaving only the ones that matter.
Safer releases
Deployment markers show exactly when a regression began and which release introduced it.
Better together with the Edge platform
APM writes its data to the Edge Datalake, making it queryable and correlatable alongside every other module in real time.
Application Performance Monitoring questions, answered
What is Application Performance Monitoring?
Application Performance Monitoring (APM) is the practice of tracking the performance and availability of software applications in real time. APM tools collect metrics such as response time, error rate, throughput, and resource utilisation, as well as distributed traces that show how requests flow through application components. APM enables teams to detect performance degradation, identify slow transactions, and understand where time is being spent in application code.
How does application performance monitoring work?
APM works by instrumenting application code — either via agents, SDKs, or OpenTelemetry — to capture performance data as requests are processed. This data is sent to a centralised platform where it is aggregated, correlated, and visualised. Teams can then see service-level metrics, distributed traces showing end-to-end request paths, error rates, and code-level performance details.
How can businesses monitor application performance?
Businesses can monitor application performance by deploying APM agents or OpenTelemetry instrumentation within their applications, and routing the resulting telemetry to an observability platform. On EDGE, APM data is automatically correlated with infrastructure metrics, logs, and real user monitoring data, giving teams a complete picture of application health.
How can organisations identify application performance issues?
Application performance issues can be identified through APM by monitoring response time trends, error rates, and throughput. Anomaly detection can flag unexpected deviations automatically, while distributed tracing allows engineers to follow a slow or failing request through every service it touches to identify exactly where time is being lost or errors are being introduced.
What does Edge Application Performance Monitoring monitor?
Edge Application Performance Monitoring captures signals including api latency, database query time, request throughput, error rate, cpu and memory, response distribution, and provides edge agent instrumentation, distributed tracing, service map visualisation and more.
How is Edge Application Performance Monitoring deployed?
Edge connects through lightweight agents or agentless connectors — typically 2–4 hours for a standard environment — and can be deployed on-premises, in your private cloud or in a regional cloud, so monitoring data stays within your jurisdiction.
Does it work with the monitoring tools we already use?
Yes. Edge is designed for a no-rip-and-replace approach and connects alongside your existing stack, with 100+ integrations across cloud, containers, databases, APM agents, telemetry standards and alerting channels.
How does APM connect to the rest of Edge?
APM writes its data to the Edge Datalake, so it can be queried and correlated in real time with application traces, logs, infrastructure metrics and real user data from the other Edge modules.
How is it priced?
Pricing is tailored to the scale of your environment, the modules you choose and your deployment model. Start with a short, no-obligation discovery session and NCG will prepare a scoped proposal.
More answers in the FAQ library, or book a demo to see APM on your own environment.
Ready to see Application Performance Monitoring live?
We deploy a proof of value in your environment. You keep it if it delivers. No long commitments, no surprises.