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

Falco vs TraceView

OverviewComparisonAlternatives

Overview

TraceView
TraceView
Stacks8
Followers17
Votes7
Falco
Falco
Stacks9
Followers17
Votes0
GitHub Stars773
Forks29

Falco vs TraceView: What are the differences?

<Write Introduction here>

1. **Deployment**: Falco is a runtime security tool used to detect abnormal behavior in applications, focusing on containerized environments, while TraceView is a performance monitoring tool that helps in identifying and resolving performance issues in distributed systems.
2. **Focus**: Falco primarily focuses on security-related events such as abnormal network activity, file access, process execution, and more, while TraceView focuses on monitoring and analyzing the performance of distributed systems to optimize their efficiency.
3. **Alerts**: Falco generates alerts based on predefined rules when security violations are detected in real-time, whereas TraceView provides alerts and insights on performance bottlenecks and anomalies in the system to improve performance.
4. **Data Collection**: Falco collects security-related data from the kernel and user-space while TraceView gathers performance-related data like response times, error rates, and more from various components of the system.
5. **Use Case**: Falco is ideal for security teams looking to enhance the security posture of their containerized applications, whereas TraceView is suitable for DevOps teams seeking to optimize the performance of their distributed systems.
6. **Integration**: Falco integrates with container orchestration tools like Kubernetes and Docker to provide security for containerized environments, whereas TraceView integrates with various APIs and frameworks to gather performance data from distributed systems.

In Summary, Falco and TraceView differ in their focus on security vs. performance monitoring, alerting mechanisms, data collection methods, target users, and integrations with different tools and frameworks.

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CLI (Node.js)
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Detailed Comparison

TraceView
TraceView
Falco
Falco

Expose everything, from the webserver to database, cache and API calls. The core technology is based on X-Trace, a distributed tracing framework that’s served as the inspiration for companies like Google and Twitter.

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

Track every machine involved in a transaction and identify bottlenecks in a single click.;Isolate interesting calls and drill down to the line of code and machine it ran on.;Tie together code and infrastructure metrics with database, service, and cache calls, all in the context of a single transaction.;Smart Tracing means you can run in production, with negligible overhead (< 1%).;Understand spikes in the graphs, even if the cause is only a single outlying request.;Visualize request patterns in one place to separate the noisy from the systematic.;Cross-correlate information between multiple sources. Want to find the controller and action that scans entire MongoDB collections? Done, in a single screen.;Zoom-in on trends based on performance - no guessing involved.;From mobile to desktops, understand your customer’s true web application experience from anywhere around the world.;Track server, network, and in-browser latency based on exactly what the user sees, as measured from directly inside your users’ browsers.;Tie end user experiences back to actual server side transactions.
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
8
Stacks
9
Followers
17
Followers
17
Votes
7
Votes
0
Pros & Cons
Pros
  • 5
    The heatmap helped me isolate DB related issues
  • 2
    Heatmap helped me find a Tomcat Memcached problem
No community feedback yet
Integrations
Heroku
Heroku
PostgreSQL
PostgreSQL
Docker
Docker
Heroku
Heroku

What are some alternatives to TraceView, Falco?

New Relic

New Relic

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.

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.

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