Complete Observability with New Relic One
New Relic is a leading observability platform that brings together APM, infrastructure monitoring, log management, browser monitoring, and synthetic monitoring into a single, unified experience. Unlike point solutions, New Relic One provides a connected view of your entire stack—from user experience to application code to underlying infrastructure.
With features like automatic anomaly detection, AI-powered insights, and powerful NRQL querying, New Relic helps teams identify issues faster, understand their impact, and resolve them before they affect users. The platform's consumption-based pricing and generous free tier make it accessible for teams of all sizes.
As part of our monitoring & observability services, we implement and optimize New Relic deployments that provide actionable insights while controlling costs. Our implementations integrate seamlessly with your DevOps workflows and SRE practices.
Our New Relic Services
End-to-end New Relic implementation from initial setup to advanced optimization.
APM Implementation
Deploy New Relic APM agents across your applications—Java, .NET, Node.js, Python, Ruby, Go, and PHP. Configure distributed tracing, custom instrumentation, and transaction naming for meaningful insights.
Infrastructure Monitoring
Deploy the infrastructure agent across hosts, containers, and Kubernetes clusters. Configure integrations for cloud services (AWS, Azure, GCP), databases, and third-party services.
Custom Dashboard Development
Build purpose-built dashboards that surface the metrics that matter. We create service-level dashboards, business KPI views, and executive summaries using NRQL and visualization best practices.
Alerting & Incident Management
Configure intelligent alerting with baseline conditions, NRQL-based alerts, and anomaly detection. Integrate with PagerDuty, Opsgenie, Slack, and your existing incident management tools.
Log Management Setup
Configure log forwarding from your applications and infrastructure. Set up log patterns, parsing rules, and correlation with APM traces for rapid root cause analysis.
NRQL Training & Optimization
Train your team on NRQL query language, dashboard creation, and New Relic best practices. We also optimize your instrumentation to control data ingest costs.
New Relic One Components
A unified platform with specialized capabilities for every layer of your stack.
We implement the right combination of New Relic capabilities based on your specific observability needs and budget.
APM (Application Performance Monitoring)
Deep code-level visibility with distributed tracing, error tracking, transaction analysis, and service maps. Supports all major languages and frameworks.
Infrastructure Monitoring
Monitor hosts, containers, and cloud resources. 400+ integrations for AWS, Azure, GCP, Kubernetes, databases, and third-party services out of the box.
Log Management
Centralized logging with automatic parsing, pattern detection, and correlation with APM traces. Query logs in context without switching tools.
Browser Monitoring
Real User Monitoring (RUM) for frontend performance. Track page load times, JavaScript errors, AJAX calls, and Core Web Vitals for user experience insights.
Synthetic Monitoring
Proactive monitoring with scripted browsers and API tests. Detect issues before users do with global checkpoint locations and alerting.
AI Ops & Anomaly Detection
Applied Intelligence automatically detects anomalies, correlates incidents, and suggests root causes. Reduces MTTR with AI-powered insights.
Observability Challenges We Solve
Data Silos & Context Switching
Teams use separate tools for APM, infrastructure, and logs. Troubleshooting requires switching between dashboards and manually correlating data across systems.
Our Solution
Implement New Relic One as a unified platform with connected entities. Configure service maps, related dashboards, and logs-in-context so teams can navigate from alert to root cause in a single pane.
Runaway Observability Costs
Unoptimized instrumentation leads to excessive data ingest, causing surprising bills. Teams either over-instrument everything or under-instrument critical paths.
Our Solution
Implement data governance with drop rules, sampling strategies, and efficient instrumentation. Use New Relic's data management tools to identify high-cardinality metrics and optimize ingest without losing visibility.
Alert Fatigue & Slow MTTR
Static threshold alerts generate noise. Teams are overwhelmed with notifications that don't indicate real problems, and critical issues get lost in the noise.
Our Solution
Implement anomaly-based alerting and Applied Intelligence for automatic incident correlation. Configure alert policies with proper severity levels, runbook links, and intelligent routing to reduce noise by 70%+.
Our Implementation Process
A structured approach to New Relic implementation that delivers value quickly.
We've implemented New Relic for organizations ranging from startups to enterprises. Our methodology ensures rapid time-to-value while building a foundation for advanced use cases.
Discovery & Planning
Assess your current observability maturity, identify critical services, define SLIs/SLOs, and plan instrumentation strategy. Review existing New Relic setup if applicable.
Agent Deployment
Deploy APM agents via CI/CD pipelines, infrastructure agents via automation, and configure cloud integrations. Validate data collection and entity relationships.
Dashboard & Alert Setup
Create custom dashboards for applications, infrastructure, and business metrics. Configure alert policies with anomaly detection and integrate with your incident management workflow.
Log & Trace Correlation
Configure log forwarding with automatic parsing. Enable distributed tracing correlation so you can navigate from errors to logs to traces in context.
Training & Optimization
Train your team on NRQL, dashboard creation, and troubleshooting workflows. Optimize data ingest for cost control. Provide documentation and optionally ongoing support.
Ready for Full-Stack Observability?
Get a free assessment of your current monitoring setup and a roadmap to unified observability with New Relic.
Schedule ConsultationNew Relic vs. Alternatives
Understanding when New Relic is the right choice for your observability needs.
New Relic vs. Datadog
Both are comprehensive observability platforms. New Relic offers more flexible pricing with user-based and data-based options, while Datadog charges per-host for infrastructure. New Relic's NRQL is more powerful than Datadog's query language.
Choose New Relic when: You want predictable pricing, powerful querying, or have variable infrastructure scale.
New Relic vs. Prometheus/Grafana
Prometheus is open-source with no licensing costs but requires operational expertise. New Relic is fully managed with no infrastructure to maintain. Prometheus excels at metrics; New Relic provides APM, logs, and more in one platform.
Choose New Relic when: You want managed infrastructure, need APM capabilities, or lack observability engineering capacity.
New Relic vs. Dynatrace
Dynatrace offers more automation with AI-driven root cause analysis. New Relic provides more flexibility and better pricing for smaller teams. Dynatrace has stronger enterprise features; New Relic has a better developer experience.
Choose New Relic when: You want flexibility, have developer-centric culture, or need cost-effective scaling.
New Relic vs. AWS/GCP Native
CloudWatch/Cloud Monitoring are included with cloud costs and integrate deeply with native services. New Relic provides better APM, cross-cloud visibility, and more powerful dashboarding. Cloud-native tools lack unified observability.
Choose New Relic when: You need deep APM, multi-cloud visibility, or better user experience than native tools.
Essential NRQL Queries We Implement
Powerful NRQL queries that surface actionable insights from your telemetry data.
Error Rate by Service
APMTrack error percentage across services to identify problematic deployments
SELECT percentage(count(*), WHERE error IS true)
FROM Transaction
FACET appName
SINCE 1 hour agoResponse Time Percentiles
LatencyMonitor P50, P95, P99 latency to catch tail latency issues
SELECT percentile(duration, 50, 95, 99)
FROM Transaction
WHERE appName = 'MyApp'
TIMESERIES AUTOTop Errors Analysis
TroubleshootingIdentify most common errors with stack trace grouping
SELECT count(*)
FROM TransactionError
FACET error.class, error.message
SINCE 24 hours ago
LIMIT 20Container CPU Usage
KubernetesMonitor container resource utilization in Kubernetes
SELECT average(cpuUsedCores) / average(cpuLimitCores) * 100
FROM K8sContainerSample
FACET containerName, podName
WHERE clusterName = 'production'Slow Database Queries
DatabaseFind database queries consuming the most time
SELECT average(databaseDuration), count(*)
FROM Transaction
WHERE databaseDuration IS NOT NULL
FACET databaseCallCount, name
SINCE 1 hour agoApdex Score Trend
User ExperienceTrack user satisfaction score over time
SELECT apdex(duration, t: 0.5)
FROM Transaction
WHERE appName = 'MyApp'
TIMESERIES 1 hour
SINCE 1 week agoIntegrations We Configure
Connect New Relic with your entire technology stack for comprehensive visibility.
Cloud Integrations
AWS: EC2, RDS, Lambda, ECS, EKS, S3, CloudFront, and 50+ services
Azure: VMs, App Service, AKS, SQL Database, Functions
GCP: Compute Engine, GKE, Cloud SQL, Cloud Functions
Kubernetes: Cluster metrics, events, and workload monitoring
Database Monitoring
SQL: MySQL, PostgreSQL, MS SQL, Oracle query analysis
NoSQL: MongoDB, Redis, Cassandra, Elasticsearch
Cloud: RDS, Aurora, DynamoDB, Cloud SQL
Features: Slow query analysis, connection pooling, replication lag
Workflow Integration
Incident Management: PagerDuty, Opsgenie, VictorOps, xMatters
Chat: Slack, Microsoft Teams, webhook integrations
CI/CD: Jenkins, GitHub Actions, GitLab for deployment markers
Ticketing: Jira, ServiceNow for automated ticket creation
