When working with New Relic and Application Performance Monitoring (APM).
keep these key questions in mind:
1.
Application Performance & Bottlenecks
- What
are the key performance metrics (response time, throughput, error rate)
for my application?
- Which
transactions or endpoints are the slowest?
- What
external dependencies (databases, APIs, caches) are causing latency?
- Are
there any trends in performance degradation over time?
2.
Infrastructure & Resource Utilization
- How
are CPU, memory, and disk I/O performing on my hosts and containers?
- Are
there any resource bottlenecks affecting application performance?
- Are
Kubernetes pods or cloud instances running at optimal capacity?
3. Errors
& Failures
- What
are the most frequent and critical errors in my application?
- Which
transactions or services are generating the most errors?
- Can
I trace these errors back to specific deployments or code changes?
- Are
there patterns in error occurrences (e.g., specific regions, times of
day)?
4.
Distributed Tracing & Dependencies
- How are requests flowing through my microservices or
distributed systems?
- Where are the slowest points in the request lifecycle?
- Are database queries or third-party services slowing down my
application?
- Are there any unusual spikes in dependency failures?
5.
Alerting & Incident Response
- Are alerts configured properly to detect anomalies before
they impact users?
- Are alert thresholds optimized to minimize noise but still
catch real issues?
- What is my Mean Time to Detect (MTTD) and Mean Time to
Resolve (MTTR)?
- How can I integrate New Relic with Slack, PagerDuty, or
other incident response tools?
6.
Deployment & Change Analysis
- Did a recent deployment introduce a performance regression?
- What impact did a new release have on error rates and
response times?
- Are there performance trends linked to specific code
changes?
7. User
Experience & Business Impact
- How is application latency affecting user experience?
- What percentage of transactions meet SLAs and SLOs?
- How does performance correlate with business metrics like
conversion rates?
8.
Security & Compliance
- Are there any anomalies or unexpected spikes in traffic?
- Is sensitive data properly monitored for security breaches?
- How can I use New Relic logs and traces for security audits?
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APM - New Relic
APM (Application Performance Monitoring) in New Relic is a powerful tool for monitoring application performance, identifying bottlenecks, and improving system reliability. It provides deep insights into how applications perform in real-time, helping developers and DevOps teams optimize performance and troubleshoot issues efficiently.
Key Features of New Relic APM:
- Real-time Monitoring – Tracks application performance metrics like response times, throughput, and error rates.
- Distributed Tracing – Helps visualize request flows across microservices and pinpoint latency issues.
- Error Tracking & Logging – Captures detailed error analytics and logs to aid debugging.
- Custom Instrumentation – Allows developers to add custom metrics to monitor specific application behavior.
- Database Performance Monitoring – Identifies slow queries and inefficient database interactions.
- Alerting & Anomaly Detection – Provides alerts on performance degradation using AI-driven anomaly detection.
- Service Maps – Offers a graphical view of how different services interact within an application.
- Infrastructure Integration – Works with cloud platforms like AWS, Azure, and Kubernetes.
How to Use New Relic APM:
- Install the New Relic Agent in your application (available for Java, Node.js, Python, Ruby, .NET, Go, and PHP).
- Configure the Agent with your New Relic license key.
- Deploy and Run the application to start collecting performance data.
- Access the New Relic Dashboard to analyze metrics, set alerts, and optimize performance.
How to Install and Configure New Relic APM Agent
New Relic APM supports multiple programming languages like Java, Node.js, Python, .NET, PHP, Go, and Ruby. Below are the general steps to install, configure, and start monitoring an application using New Relic.
Step 1: Sign Up and Get Your New Relic License Key
- Go to New Relic's website and create an account. https://newrelic.com/
- Navigate to APM & Services → Click on Add a New Service.
- Copy your New Relic License Key from the dashboard.
Step 2: Install the New Relic APM Agent
For Java Applications
- Download the latest New Relic Java agent:
- Unzip and move it to your application directory:
- Add the agent to your JVM options:
- Modify the
newrelic.yml
configuration file to include your license key and application name.
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Operating systems Supported by New Relic.
Step-by-step instructions for each operating system if the guided installation.
https://docs.newrelic.com/docs/infrastructure/infrastructure-agent/requirements-infrastructure-agent/
Installing New Relic Agent on Linux: window
Open
Powershell on the windows computer: Run
as administration
Go back to New Relic on Browser to finish installation.
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Use
New Relic to see data from: window system
twtech-metrics: Scrapped by New Relic Agent.
Expand the metrics to get insights:
How twtech-deeply understanding the processes.
We can also: Create dashboards, alerts , predict trends, and many more…
For Node.js Applications
- Install the New Relic agent using npm:
- Create a
newrelic.js
file in your project root: - Require New Relic at the top of your main app file (e.g.,
server.js
orapp.js
):
For Python Applications
- Install the New Relic Python agent:
- Generate a New Relic config file:
- Start your application with New Relic:
For .NET Applications
- Download and install the .NET agent from the New Relic website.
- Open the newrelic.config file and add your license key.
- Restart your application.
Step 3: Deploy and Run the Application
After installing and configuring the agent:
- Restart your application to apply the changes.
- The agent will automatically start collecting performance data and send it to New Relic.
Step 4: Access the New Relic Dashboard
- Log in to New Relic One.
- Go to APM & Services.
- You should see your application listed. Click on it to:
- View response times, throughput, and error rates.
- Analyze database performance and slow transactions.
- Monitor distributed traces and logs.
Step 5: Set Alerts and Optimize Performance
- Set Alerts
- Go to Alerts & AI → Click Create a new alert condition.
- Define conditions for CPU, memory, response time, error rates, etc.
- Add notification channels (email, Slack, PagerDuty).
- Optimize Performance
- Identify slow API calls, database queries, and code-level bottlenecks.
- Use Service Maps to visualize dependencies.
- Implement caching, query optimization, or scaling based on insights.
twtech thoughts:
By continuously asking these questions, you can proactively monitor, troubleshoot, and optimize your applications with New Relic APM
Think-tank:
- Integrate New Relic with Kubernetes, Docker, or cloud platforms (AWS,).
- Enable distributed tracing for microservices.
- Use New Relic Logs to monitor application logs.
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