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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Azure Application Insights vs New Relic

Azure Application Insights vs New Relic

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
Azure Application Insights
Azure Application Insights
Stacks343
Followers288
Votes12

Azure Application Insights vs New Relic: What are the differences?

Azure Application Insights and New Relic are two popular application performance monitoring (APM) tools used to monitor and troubleshoot web applications. Let's explore the key difference between them.

  1. Integration with Azure Services: Azure Application Insights is a native monitoring solution provided by Microsoft Azure, which seamlessly integrates with other Azure services and provides in-depth monitoring and diagnostics capabilities for applications hosted on Azure. On the other hand, New Relic is a third-party APM tool that can be used with Azure services, but it requires additional configuration and setup to integrate with Azure-specific components.

  2. Pricing Model: Azure Application Insights is part of the Azure platform and offers a range of pricing options, including a free tier for basic monitoring and paid plans for more advanced features and higher data volumes. New Relic, on the other hand, follows a subscription-based pricing model, where the cost is determined based on the number of hosts or applications being monitored, along with the desired feature set.

  3. Analytics and Visualization: Both Azure Application Insights and New Relic offer powerful analytics and visualization capabilities to help analyze application performance data. However, there are differences in the depth and flexibility of these capabilities. Azure Application Insights leverages the power of Azure Monitor and provides rich analytics and visualization options, including custom dashboards, log analytics, and integration with other Azure services like Azure Log Analytics and Azure Data Explorer. New Relic also offers advanced analytics and visualization features, but its capabilities may be more tailored towards specific application types or use cases.

  4. Language and Platform Support: Azure Application Insights and New Relic support a wide range of programming languages and platforms. However, there may be differences in the level of support and availability of specific features for different languages and platforms. Azure Application Insights has native support for several popular programming languages, including .NET, Java, Node.js, and Python, and provides SDKs and instrumentation libraries for easy integration with different application types. New Relic also supports multiple languages and platforms but may have variations in the level of support and maturity for different ecosystems.

  5. Alerting and Notifications: When it comes to alerting and notifications, both Azure Application Insights and New Relic offer similar functionalities, allowing users to set up custom alerts based on specific metrics or thresholds. However, there may be differences in the ease of setup and configurability. Azure Application Insights integrates with Azure Monitor and provides a flexible alerting system that can send notifications through various channels, such as email, SMS, or Azure Logic Apps. New Relic also offers a robust alerting system but may have variations in terms of available notification channels or integrations with external systems.

  6. Ecosystem and Community: Azure Application Insights is part of the larger Azure ecosystem, which comes with its own set of benefits, including access to a wide range of Azure services, documentation, and community support. Being a Microsoft product, there is a vast community of developers and resources available for troubleshooting and learning. New Relic, on the other hand, has its own ecosystem and community that provides dedicated support and resources for users of their platform. The size and focus of the ecosystem/community may influence the availability of resources or community-driven extensions/plugins.

In summary, Azure Application Insights offers seamless integration with Azure services, customizable pricing options, and deep integration with Azure Monitor. New Relic, on the other hand, provides a flexible pricing model, advanced analytics and visualization features, and a dedicated ecosystem/community for support.

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Advice on New Relic, Azure Application Insights

Medeti
Medeti

Jun 27, 2020

Needs adviceonAmazon EKSAmazon EKSKubernetesKubernetesAWS Elastic Load Balancing (ELB)AWS Elastic Load Balancing (ELB)

We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.

We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.

We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.

You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?

1.51M views1.51M
Comments
Benoit
Benoit

Principal Engineer at Sqreen

Sep 17, 2019

Decided

I chose Datadog APM because the much better APM insights it provides (flamegraph, percentiles by default).

The drawbacks of this decision are we had to move our production monitoring to TimescaleDB + Telegraf instead of NR Insight

NewRelic is definitely easier when starting out. Agent is only a lib and doesn't require a daemon

457k views457k
Comments
Attila
Attila

Founder at artkonekt

Mar 24, 2020

Decided

I haven't heard much about Datadog until about a year ago. Ironically, the NewRelic sales person who I had a series of trainings with was trash talking about Datadog a lot. That drew my attention to Datadog and I gave it a try at another client project where we needed log handling, dashboards and alerting.

In 2019, Datadog was already offering log management and from that perspective, it was ahead of NewRelic. Other than that, from my perspective, the two tools are offering a very-very similar set of tools. Therefore I wouldn't say there's a significant difference between the two, the decision is likely a matter of taste. The pricing is also very similar.

The reasons why we chose Datadog over NewRelic were:

  • The presence of log handling feature (since then, logging is GA at NewRelic as well since falls 2019).
  • The setup was easier even though I already had experience with NewRelic, including participation in NewRelic trainings.
  • The UI of Datadog is more compact and my experience is smoother.
  • The NewRelic UI is very fragmented and New Relic One is just increasing this experience for me.
  • The log feature of Datadog is very well designed, I find very useful the tagging logs with services. The log filtering is also very awesome.

Bottom line is that both tools are great and it makes sense to discover both and making the decision based on your use case. In our case, Datadog was the clear winner due to its UI, ease of setup and the awesome logging and alerting features.

471k views471k
Comments

Detailed Comparison

New Relic
New Relic
Azure Application Insights
Azure Application Insights

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

It is an extensible Application Performance Management service for developers and DevOps professionals. Use it to monitor your live applications. It will automatically detect performance anomalies, and includes powerful analytics tools.

Performance Data Retention;Real-User Response Time, Throughput, & Breakdown by Layer;App Response Time, Throughput, & Breakdown by Component;App Availability Monitoring, Alerting, and Notification;Automatic Application Topology Mapping;Server Resource and Availability Monitoring;Error Detection, Alerting, & Analysis;JVM Performance Analyzer;Database Call Response Time & Throughput;Performance Data API Access;Code Level Diagnostics, Transaction Tracing, & Stack Trace Details;Slow SQL and SQL Performance Details;Real-User Breakdown by Web Page, Browser, & Geography;Track Individual Key Transactions;Mobile Features- Alerting, Summary Data, Overview Page, Topo Map, HTTP Requests, HTTP Error Summary, HTTP Error Detail, Versions, Carriers, Devices, Geo Map
Extensible Application Performance Management (APM) service; Monitor your live applications; Automatically detect performance anomalies
Statistics
Stacks
22.7K
Stacks
343
Followers
8.7K
Followers
288
Votes
1.9K
Votes
12
Pros & Cons
Pros
  • 414
    Easy setup
  • 344
    Really powerful
  • 245
    Awesome visualization
  • 194
    Ease of use
  • 151
    Great ui
Cons
  • 20
    Pricing model doesn't suit microservices
  • 10
    UI isn't great
  • 7
    Expensive
  • 7
    Visualizations aren't very helpful
  • 5
    Hard to understand why things in your app are breaking
Pros
  • 6
    Focus in detect performance anomalies and issues
  • 3
    Integrated with Azure
  • 1
    User flow
  • 1
    Live Metrics
  • 1
    Availability tests (Heart Beat check)
Cons
  • 2
    Difficult to surface information
  • 1
    UI is clunky and gets in the way
  • 1
    Custom instrumentation via code only
Integrations
AppHarbor
AppHarbor
Cloudability
Cloudability
HP Cloud Compute
HP Cloud Compute
cloudControl
cloudControl
Papertrail
Papertrail
Loggly
Loggly
Ducksboard
Ducksboard
Blitz
Blitz
Pivotal Tracker
Pivotal Tracker
Red Hat OpenShift
Red Hat OpenShift
No integrations available

What are some alternatives to New Relic, Azure Application Insights?

Datadog

Datadog

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

AppSignal

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

AppDynamics

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

Stackify

Stackify

Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster

Skylight

Skylight

Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.

Librato

Librato

Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.

Keymetrics

Keymetrics

PM2 is a production process manager for Node.js applications with a built-in load balancer. It allows you to keep applications alive forever, to reload them without downtime and to facilitate common system admin tasks.

Dynatrace

Dynatrace

It is an AI-powered, full stack, automated performance management solution. It provides user experience analysis that identifies and resolves application performance issues faster than ever before.

SignalFx

SignalFx

We provide operational intelligence for today’s elastic architectures through monitoring specifically designed for microservices and containers with: -powerful and proactive alerting -metrics aggregation -visualization into time series data

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