Alternatives to StatusCake logo

Alternatives to StatusCake

Pingdom, UptimeRobot, Uptrends, Site24x7, and Grafana are the most popular alternatives and competitors to StatusCake.
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What is StatusCake and what are its top alternatives?

StatusCake is a website monitoring and performance testing tool that helps users keep track of their websites' uptime, downtime, and overall performance. Some key features of StatusCake include real-time website monitoring, SSL certificate monitoring, page speed testing, and domain monitoring. However, some limitations include limited integrations and reporting capabilities compared to other tools in the market.

  1. UptimeRobot: UptimeRobot is a popular website monitoring tool that offers free and paid monitoring plans. Key features include monitoring for HTTP(s), keyword, and SSL certificates. Pros include easy to use interface and multiple notification options, while cons include limited features in the free plan.
  2. Pingdom: Pingdom is a comprehensive website monitoring tool that offers uptime monitoring, page speed monitoring, and transaction monitoring. Pros include detailed reporting and integrations with third-party tools, while cons include higher pricing compared to other tools.
  3. Site24x7: Site24x7 is a monitoring tool that offers website, server, and application monitoring. Key features include synthetic monitoring, real user monitoring, and API monitoring. Pros include a wide range of monitoring options, while cons include a steeper learning curve for beginners.
  4. Freshping: Freshping is a free website monitoring tool that offers uptime monitoring and status pages. Pros include a generous free plan and easy setup, while cons include limited features compared to paid plans.
  5. AppDynamics: AppDynamics is an application performance monitoring tool that offers real-time monitoring and analytics. Key features include code-level visibility and business transaction monitoring. Pros include advanced monitoring capabilities, while cons include higher pricing for enterprise features.
  6. LogicMonitor: LogicMonitor is a comprehensive IT infrastructure monitoring tool that offers monitoring for networks, servers, and applications. Key features include predictive analytics and customizable dashboards. Pros include automation options and scalability, while cons include pricing for larger environments.
  7. SolarWinds Web Performance Monitor: SolarWinds Web Performance Monitor is a tool for website monitoring that offers real user monitoring and synthetic transaction monitoring. Pros include reporting options and customizable alerts, while cons include a higher learning curve for setup.
  8. GTmetrix: GTmetrix is a tool for website performance testing that offers insights into page speed and performance optimization. Pros include detailed performance reports and recommendations, while cons include limited monitoring capabilities compared to other tools.
  9. Datadog: Datadog is a monitoring and analytics platform that offers website monitoring, infrastructure monitoring, and application performance monitoring. Pros include integrations with popular tools and customizable dashboards, while cons include pricing for additional features.
  10. Monitis: Monitis is a monitoring tool that offers website, server, and network monitoring. Key features include uptime monitoring, performance testing, and custom monitoring solutions. Pros include a user-friendly interface and scalability, while cons include pricing for larger monitoring setups.

Top Alternatives to StatusCake

  • Pingdom
    Pingdom

    Pingdom is an uptime monitoring service. When problems happen with a site that Pingdom monitors, it immediately alerts the owner so the problem can be taken care of. ...

  • UptimeRobot
    UptimeRobot

    It is all about helping you to keep your websites up. It monitors your websites every 5 minutes and alerts you if your sites are down. ...

  • Uptrends
    Uptrends

    It is the ultimate monitoring tool to stay in control of the uptime, performance, and functionality of your websites, APIs, and servers. ...

  • Site24x7
    Site24x7

    Site24x7 is an all-in-one monitoring solution that allows you to monitor every part of your IT infrastructure from Websites to Applications, to Servers (both on-premise and on the cloud) as well as your Network infrastructure. ...

  • Grafana
    Grafana

    Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins. ...

  • 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. ...

  • Kibana
    Kibana

    Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch. ...

  • Sentry
    Sentry

    Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health. ...

StatusCake alternatives & related posts

Pingdom logo

Pingdom

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PROS OF PINGDOM
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    Monitoring your websites
  • 75
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    Free tier
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    Performance data
  • 14
    Detailed Reports
  • 11
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    Mobile App
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  • 1
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  • 4
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  • 3
    UI is incredibly complicated
  • 2
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Jerome Dalbert
Principal Backend Software Engineer at StackShare · | 5 upvotes · 290.4K views

We currently monitor performance with the following tools:

  1. Heroku Metrics: our main app is Hosted on Heroku, so it is the best place to get quick server metrics like memory usage, load averages, or response times.
  2. Good old New Relic for detailed general metrics, including transaction times.
  3. Skylight for more specific Rails Controller#action transaction times. Navigating those timings is much better than with New Relic, as you get a clear full breakdown of everything that happens for a given request.

Skylight offers better Rails performance insights, so why use New Relic? Because it does frontend monitoring, while Skylight doesn't. Now that we have a separate frontend app though, our frontend engineers are looking into more specialized frontend monitoring solutions.

Finally, if one of our apps go down, Pingdom alerts us on Slack and texts some of us.

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Nikola Yovchev
Head of Engineering at Relay42 · | 2 upvotes · 130.8K views

#Datadog #Relay42 #Monitoring

With Datadog unveiling their Synthetics product (https://www.datadoghq.com/blog/introducing-synthetic-monitoring/), we at Relay42 are considering moving out of Pingdom.

The rationale is simple:

  • 90% of our monitoring is on Datadog, apart from the external requests. It'd be nice to identify regional issues in one place, so this is great in our monitoring consolidation efforts.

  • The lack of a non-community Terraform provider for Pingdom

We have yet to get in the beta and test it out but we feel very excited about this announcement.

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UptimeRobot logo

UptimeRobot

322
248
84
A tool used to monitor websites
322
248
+ 1
84
PROS OF UPTIMEROBOT
  • 22
    Free tier
  • 18
    Easy to understand
  • 14
    Instant notifications
  • 8
    Simpler than Pingdom
  • 5
    Cheap but Reliable
  • 5
    Free public status pages
  • 4
    Keyword monitoring
  • 4
    Public Status Page
  • 3
    Mobile App
  • 1
    Receive twitter status message
  • 0
    Good api
  • 0
    SSL Checking
CONS OF UPTIMEROBOT
  • 4
    False-Positives
  • 3
    Consistently bad UI
  • 2
    Confusing UI
  • 0
    Extremely bad UI experience

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Uptrends logo

Uptrends

12
16
0
Monitoring tool for uptime, performance, and functionality of your services
12
16
+ 1
0
PROS OF UPTRENDS
    Be the first to leave a pro
    CONS OF UPTRENDS
      Be the first to leave a con

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      Site24x7 logo

      Site24x7

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      27
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      47
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      PROS OF SITE24X7
        Be the first to leave a pro
        CONS OF SITE24X7
          Be the first to leave a con

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          Hi Folks,

          I am trying to evaluate Site24x7 against AppDynamics, Dynatrace, and New Relic. Has anyone used Site24X7? If so, what are your opinions on the tool? I know that the license costs are very low compared to other tools in the market. Other than that, are there any major issues anyone has encountered using the tool itself?

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          Shared insights
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          Site24x7Site24x7StatusCakeStatusCake

          What are the comparisons and differences between StatusCake and Site24x7 Services?

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          Grafana logo

          Grafana

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          • 26
            Many integrations
          • 18
            Can build dashboards
          • 10
            Easy to specify time window
          • 10
            Can collaborate on dashboards
          • 9
            Dashboards contain number tiles
          • 5
            Open Source
          • 5
            Integration with InfluxDB
          • 5
            Click and drag to zoom in
          • 4
            Authentification and users management
          • 4
            Threshold limits in graphs
          • 3
            Alerts
          • 3
            It is open to cloud watch and many database
          • 3
            Simple and native support to Prometheus
          • 2
            Great community support
          • 2
            You can use this for development to check memcache
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            You can visualize real time data to put alerts
          • 0
            Grapsh as code
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            Plugin visualizationa
          CONS OF GRAFANA
          • 1
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          Matt Menzenski
          Senior Software Engineering Manager at PayIt · | 16 upvotes · 1M views

          Grafana and Prometheus together, running on Kubernetes , is a powerful combination. These tools are cloud-native and offer a large community and easy integrations. At PayIt we're using exporting Java application metrics using a Dropwizard metrics exporter, and our Node.js services now use the prom-client npm library to serve metrics.

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          Conor Myhrvold
          Tech Brand Mgr, Office of CTO at Uber · | 15 upvotes · 5M views

          Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

          By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

          To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

          https://eng.uber.com/m3/

          (GitHub : https://github.com/m3db/m3)

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          New Relic logo

          New Relic

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            Free tier
          • 80
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            Heroku Integration
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            Market leader
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            Peace of mind
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          • 13
            Multiple language support
          • 11
            SQL Analysis
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            Server Resources Monitoring
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            Transaction Tracing
          • 8
            Apdex Scores
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            Azure Add-on
          • 7
            Analysis of CPU, Disk, Memory, and Network
          • 7
            Detailed reports
          • 6
            Performance of External Services
          • 6
            Error Analysis
          • 6
            Application Availability Monitoring and Alerting
          • 6
            Application Response Times
          • 5
            Most Time Consuming Transactions
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            JVM Performance Analyzer (Java)
          • 4
            Browser Transaction Tracing
          • 4
            Top Database Operations
          • 4
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          • 3
            Application Map
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            Pagoda Box integration
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            Custom Dashboards
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            Easy to setup
          • 2
            Background Jobs Transaction Analysis
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            App Speed Index
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            Super Expensive
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            Team Collaboration Tools
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            Metric Data Retention
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            Metric Data Resolution
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            Worst Transactions by User Dissatisfaction
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            Real User Monitoring Overview
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            Real User Monitoring Analysis and Breakdown
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            Time Comparisons
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            Access to Performance Data API
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            Incident Detection and Alerting
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            Best of the best, what more can you ask for
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            Best monitoring on the market
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          CONS OF NEW RELIC
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          • 10
            UI isn't great
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            Hard to understand why things in your app are breaking

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          Farzeem Diamond Jiwani
          Software Engineer at IVP · | 8 upvotes · 1.5M views

          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!

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          Shared insights
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          New RelicNew RelicKibanaKibana

          I need to choose a monitoring tool for my project, but currently, my application doesn't have much load or many users. My application is not generating GBs of data. We don't want to send the user information to New Relic because it's a 3rd party tool. And we can deploy Kibana locally on our server. What should I use, Kibana or New Relic?

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          Kibana logo

          Kibana

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            Easy queries and is a good way to view logs
          • 6
            Supports Plugins
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            Out-of-Box Dashboards/Analytics for Metrics/Heartbeat
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          CONS OF KIBANA
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          Tymoteusz Paul
          Devops guy at X20X Development LTD · | 23 upvotes · 9.7M views

          Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

          It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

          I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

          We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

          If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

          The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

          Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.

          See more
          Tassanai Singprom

          This is my stack in Application & Data

          JavaScript PHP HTML5 jQuery Redis Amazon EC2 Ubuntu Sass Vue.js Firebase Laravel Lumen Amazon RDS GraphQL MariaDB

          My Utilities Tools

          Google Analytics Postman Elasticsearch

          My Devops Tools

          Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack

          My Business Tools

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          Sentry logo

          Sentry

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            Easy
          • 44
            User-friendly interface
          • 28
            The most important tool we use in production
          • 18
            Hipchat integration
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            Heroku Integration
          • 15
            Good documentation
          • 14
            Free tier
          • 11
            Self-hosted
          • 9
            Easy setup
          • 7
            Realiable
          • 6
            Provides context, and great stack trace
          • 4
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          • 4
            Love it baby
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            Gitlab integration
          • 3
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            Captures local variables at each frame in backtraces
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          Johnny Bell

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          I had narrowed it down to two tools LogRocket and Sentry (I also tried Bugsnag but it did not make the final two). Before I get into this I want to say that both of these tools are amazing and whichever you choose will suit your needs well.

          I firstly decided to go with LogRocket the fact that they had a recorded screen capture of what the user was doing when the bug happened was amazing... I could go back and rewatch what the user did to replicate that error, this was fantastic. It was also very easy to setup and get going. They had options for React and Redux.js so you can track all your Redux.js actions. I had a fairly large Redux.js store, this was ended up being a issue, it killed the processing power on my machine, Chrome ended up using 2-4gb of ram, so I quickly disabled the Redux.js option.

          After using LogRocket for a month or so I decided to switch to Sentry. I noticed that Sentry was openSorce and everyone was talking about Sentry so I thought I may as well give it a test drive. Setting it up was so easy, I had everything up and running within seconds. It also gives you the option to wrap an errorBoundry in React so get more specific errors. The simplicity of Sentry was a breath of fresh air, it allowed me find the bug that was shown to the user and fix that very simply. The UI for Sentry is beautiful and just really clean to look at, and their emails are also just perfect.

          I have decided to stick with Sentry for the long run, I tested pretty much all the JS error loggers and I find Sentry the best.

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          Tassanai Singprom

          This is my stack in Application & Data

          JavaScript PHP HTML5 jQuery Redis Amazon EC2 Ubuntu Sass Vue.js Firebase Laravel Lumen Amazon RDS GraphQL MariaDB

          My Utilities Tools

          Google Analytics Postman Elasticsearch

          My Devops Tools

          Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack

          My Business Tools

          Slack

          See more