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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Datadog vs ruxit

Datadog vs ruxit

OverviewDecisionsComparisonAlternatives

Overview

Datadog
Datadog
Stacks9.8K
Followers8.2K
Votes861
ruxit
ruxit
Stacks240
Followers25
Votes5

Datadog vs ruxit: What are the differences?

# Introduction

1. **Scalability**: Datadog offers horizontal scalability by allowing users to easily expand their monitoring capabilities across a large number of hosts and services. In contrast, ruxit is limited in scalability due to its infrastructure design.
2. **Customization**: Datadog provides extensive customization options through its flexible monitoring and alerting features, allowing users to tailor their monitoring setup to specific needs. On the other hand, ruxit has limited customization capabilities, making it difficult to adapt to unique monitoring requirements.
3. **Integration**: Datadog seamlessly integrates with a wide range of third-party tools and services, enabling users to consolidate their monitoring data and workflows. In comparison, ruxit has a narrower range of integrations, limiting its ability to work cohesively with other systems.
4. **Analytics**: Datadog offers advanced analytics and visualization tools that provide deep insights into performance metrics and trends, empowering users to make informed decisions. In contrast, ruxit lacks comprehensive analytics features, making it challenging to analyze monitoring data effectively.
5. **Community Support**: Datadog has a robust community support system with active forums and documentation, allowing users to troubleshoot issues and share best practices. Conversely, ruxit lacks a strong community support network, making it harder for users to find solutions to their monitoring challenges. 

In Summary, Datadog and ruxit differ significantly in terms of scalability, customization, integration, analytics, and community support.

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Advice on Datadog, ruxit

Farzeem Diamond
Farzeem Diamond

Software Engineer at IVP

Jul 21, 2020

Needs adviceonDatadogDatadogDynatraceDynatraceAppDynamicsAppDynamics

Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

Current Environment: .NET Core Web app hosted on Microsoft IIS

Future Environment: Web app will be hosted on Microsoft Azure

Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

Please advise on the above. Thanks!

1.59M views1.59M
Comments
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

Detailed Comparison

Datadog
Datadog
ruxit
ruxit

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!

Ruxit is a all-in-one performance monitoring solution for cloud natives. In under five minutes customizable dashboard views show you your application's performance data.

14-day Free Trial for an unlimited number of hosts;200+ turn-key integrations for data aggregation;Clean graphs of StatsD and other integrations;Slice and dice graphs and alerts by tags, roles, and more;Easy-to-use search for hosts, metrics, and tags;Alert notifications via e-mail and PagerDuty;Receive alerts on any metric, for a single host or an entire cluster;Full API access in more than 15 languages;Overlay metrics and events across disparate sources;Out-of-the-box and customizable monitoring dashboards;Easy way to compute rates, ratios, averages, or integrals;Sampling intervals of 10 seconds;Mute all alerts with 1 click during upgrades and maintenance;Tools for team collaboration
AI-based analysis; Full code-level visibility, including database calls & web service stacks; Monitors server resources and availability; Service monitoring and deployment change detection; Locates bottlenecks & hotspots; Real-Time visualization of dependencies; Simple Installation with fully automatic discovery within minutes; Supports the most popular web technologies like Java, .NET, Node.js, MongoDB, PHP, Real User Monitoring with full user input tracing; Monitoring applications and microservices in Docker containers; Cloud detection and dynamic instance dependency monitoring for Amazon EC2 and Microsoft Azure; Geo-location-aware usage analysis and Apdex-based user-experience
Statistics
Stacks
9.8K
Stacks
240
Followers
8.2K
Followers
25
Votes
861
Votes
5
Pros & Cons
Pros
  • 140
    Monitoring for many apps (databases, web servers, etc)
  • 107
    Easy setup
  • 87
    Powerful ui
  • 84
    Powerful integrations
  • 70
    Great value
Cons
  • 20
    Expensive
  • 4
    No errors exception tracking
  • 2
    External Network Goes Down You Wont Be Logging
  • 1
    Complicated
Pros
  • 3
    Easy setup
  • 2
    Great customer support
Integrations
NGINX
NGINX
Google App Engine
Google App Engine
Apache HTTP Server
Apache HTTP Server
Java
Java
Docker
Docker
Pingdom
Pingdom
MySQL
MySQL
Ruby
Ruby
Python
Python
Memcached
Memcached
Amazon EC2
Amazon EC2
Microsoft Azure
Microsoft Azure
PagerDuty
PagerDuty
HipChat
HipChat
Docker
Docker
Slack
Slack

What are some alternatives to Datadog, ruxit?

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.

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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