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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Falco vs New Relic

Falco vs New Relic

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
Falco
Falco
Stacks9
Followers17
Votes0
GitHub Stars773
Forks29

Falco vs New Relic: What are the differences?

Introduction

This Markdown code provides a comparison between Falco and New Relic, highlighting the key differences between the two. Falco and New Relic are both monitoring tools, but they have distinct features and capabilities that set them apart.

  1. Deployment Model: Falco is designed as an open-source container runtime security project that runs as a kernel module or eBPF probe. It focuses on monitoring and alerting on unexpected application behavior in containers, providing deep visibility into container activities. In contrast, New Relic is a comprehensive application performance monitoring and management platform that requires an agent deployment on the application infrastructure. It offers a wider range of features, including real-time performance metrics, traces, and logs analysis.

  2. Alerting and Security Emphasis: Falco places a stronger emphasis on security and proactive threat detection. It leverages a set of pre-defined rules to identify abnormal container activities, such as file system changes, process execution, and network connections, which can indicate potential security threats. New Relic, on the other hand, is primarily focused on application performance monitoring and optimization, providing insights into performance bottlenecks, latency issues, and code-level visibility.

  3. Community and Support: Falco benefits from an active open-source community, allowing for community-driven rule updates and improvements. It has a growing ecosystem of contributors who continuously enhance its capabilities. New Relic, as a commercial enterprise platform, offers dedicated support, maintenance, and professional services. Being a widely recognized and established solution, New Relic provides a comprehensive customer support network.

  4. Pricing Model: Falco is open source and free to use, making it an attractive option for organizations with budget constraints or those seeking a cost-effective solution for container monitoring and security. New Relic, on the other hand, follows a subscription-based pricing model, offering various tiers and pricing plans based on the scale and level of features required. This pricing structure allows organizations to choose the most suitable plan based on their specific needs.

  5. Integration Capabilities: Falco integrates seamlessly with popular container orchestration platforms like Kubernetes, allowing it to monitor containers and pods effectively. It can provide detailed insights into container activity within Kubernetes clusters. New Relic, on the other hand, offers integration with a wide range of technologies, including multiple programming languages, frameworks, and cloud providers. This broad integration capability enables comprehensive monitoring of entire application stacks, both on-premises and in the cloud.

  6. Dashboarding and Visualization: Falco provides a set of default dashboards that display real-time container activity, potential security events, and relevant metadata. These dashboards offer a basic level of visibility into container behavior. New Relic, on the other hand, provides advanced dashboarding and visualization capabilities, allowing users to create custom dashboards, aggregate data from multiple sources, and gain holistic visibility into application performance, infrastructure, and user experience.

In summary, Falco is an open-source container monitoring and security solution with a focus on real-time threat detection, while New Relic is a comprehensive application performance monitoring platform that provides broader visibility across entire application stacks.

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Advice on New Relic, Falco

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
Falco
Falco

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 Open Source WebPageTest runner. It helps you monitor, analyze, and optimize your websites.

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
Automatically run audits multiple times a day in many conditions; See the evolution of key performance metrics to easily spot regressions; Invite the whole team so that everyone (devs, ops, product, marketing…) is involved in performance; Easily access and compare WebPageTest results between audits
Statistics
GitHub Stars
-
GitHub Stars
773
GitHub Forks
-
GitHub Forks
29
Stacks
22.7K
Stacks
9
Followers
8.7K
Followers
17
Votes
1.9K
Votes
0
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
    Visualizations aren't very helpful
  • 7
    Expensive
  • 5
    Hard to understand why things in your app are breaking
No community feedback yet
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
PostgreSQL
PostgreSQL
Docker
Docker
Heroku
Heroku

What are some alternatives to New Relic, Falco?

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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