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

Checkbot vs Datadog

OverviewDecisionsComparisonAlternatives

Overview

Datadog
Datadog
Stacks9.8K
Followers8.2K
Votes861
Checkbot
Checkbot
Stacks2
Followers7
Votes0

Checkbot vs Datadog: What are the differences?

Developers describe Checkbot as "Checkbot will boost the SEO, speed & security of your site by testing for broken links, duplicate content, invalid HTML/CSS/JavaScript, insecure pages, redirect chains and more". Checkbot is a powerful website auditing tool for Chrome that will boost the SEO, speed and security of your site. In a few clicks, test 100s of pages at once for broken links, duplicate content, invalid HTML/CSS/JavaScript, insecure pages, redirect chains and 50+ other website issues. Test unlimited sites as often as you want including local development sites to keep on top of problems and stop critical issues going live. Checkbot has a rating of 4.9 out of 5 on the Chrome Web Store and is being used by over 15,000 active users. Join them now and start improving your website today!. On the other hand, Datadog is detailed as "Unify logs, metrics, and traces from across your distributed infrastructure". 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!.

Checkbot and Datadog belong to "Performance Monitoring" category of the tech stack.

Some of the features offered by Checkbot are:

  • Investigate issues: Track down problems with convenient shortcuts to display incoming links to a URL, page source code, URL response headers, redirect chains and more.
  • Explore your site structure: Browse all URLs found during a crawl. Examine internal links, list all image/JavaScript/CSS files, review non-indexable pages, explore redirects and more.
  • Check private & local sites: Check your site in all stages of development by crawling staging and local sites, password protected pages and sites on private networks.

On the other hand, Datadog provides the following key features:

  • 14-day Free Trial for an unlimited number of hosts
  • 200+ turn-key integrations for data aggregation
  • Clean graphs of StatsD and other integrations

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Advice on Datadog, Checkbot

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
Checkbot
Checkbot

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!

Checkbot is a powerful website auditing tool for Chrome that will boost the SEO, speed and security of your site. In a few clicks, test 100s of pages at once for broken links, duplicate content, invalid HTML/CSS/JavaScript, insecure pages, redirect chains and 50+ other website issues. Test unlimited sites as often as you want including local development sites to keep on top of problems and stop critical issues going live. Checkbot has a rating of 4.9 out of 5 on the Chrome Web Store and is being used by over 15,000 active users. Join them now and start improving your website today!

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
Investigate issues: Track down problems with convenient shortcuts to display incoming links to a URL, page source code, URL response headers, redirect chains and more. ; Explore your site structure: Browse all URLs found during a crawl. Examine internal links, list all image/JavaScript/CSS files, review non-indexable pages, explore redirects and more. ; Check private & local sites: Check your site in all stages of development by crawling staging and local sites, password protected pages and sites on private networks. ; Customise crawls: Focus your testing on the parts of your site you’re currently interested in. Limit the URLs crawled by subdomain, subfolder, search depth, pattern and type. ; Export to CSV: Export lists of URLs with problems to CSV format so you can share the data with team members, compile custom reports and perform your own further analysis. ; PDF reports: Create eye-catching PDF reports that give a summary of the health of a website. Use these to track progress within your team and to win over new clients. ; In-app guidance: Checkbot contains detailed help that explains what problems were found, why they should be fixed and how to fix them so you don’t need to be a expert. ; Quick & easy to install: Add Checkbot to your browser in seconds with a few clicks to use alongside your favourite web development tools.
Statistics
Stacks
9.8K
Stacks
2
Followers
8.2K
Followers
7
Votes
861
Votes
0
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
No community feedback yet
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
No integrations available

What are some alternatives to Datadog, Checkbot?

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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