AppSignal聽vs聽Datadog

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AppSignal
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AppSignal vs Datadog: What are the differences?

Developers describe AppSignal as "Monitoring for Ruby and Elixir. By developers, for developers". AppSignal gives you and your team alerts and detailed metrics about your Ruby or Elixir application Sensible pricing, no aggressive sales & support by developers.. 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!.

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

Some of the features offered by AppSignal are:

  • Track errors
  • Performance Monitoring
  • Compare deploys. Monitor background jobs.

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

"Easy setup" is the primary reason why developers consider AppSignal over the competitors, whereas "Monitoring for many apps (databases, web servers, etc)" was stated as the key factor in picking Datadog.

According to the StackShare community, Datadog has a broader approval, being mentioned in 532 company stacks & 213 developers stacks; compared to AppSignal, which is listed in 24 company stacks and 5 developer stacks.

- No public GitHub repository available -
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What is AppSignal?

AppSignal gives you and your team alerts and detailed metrics about your Ruby or Elixir application. Sensible pricing, no aggressive sales & support by developers.

What is 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!
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Why do developers choose AppSignal?
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    What are some alternatives to AppSignal and Datadog?
    New Relic
    New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code.
    Scout
    Scout is application monitoring that points developers right to the source of problems: N+1 database queries, memory bloat, performance trends, and more. Scout eliminates much of the investigation part when performance woes occur.
    ruxit
    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.
    AppDynamics
    AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
    Azure Application Insights
    It is use to monitor your live web application. It will automatically detect performance anomalies. It includes powerful analytics tools to help you diagnose issues and to understand what users actually do with your app.
    See all alternatives
    Decisions about AppSignal and Datadog
    Julien DeFrance
    Julien DeFrance
    Principal Software Engineer at Tophatter | 3 upvotes 98.4K views
    atStessaStessa
    New Relic
    New Relic
    Datadog
    Datadog
    #APM

    Which #APM / #Infrastructure #Monitoring solution to use?

    The 2 major players in that space are New Relic and Datadog Both are very comparable in terms of pricing, capabilities (Datadog recently introduced APM as well).

    In our use case, keeping the number of tools minimal was a major selection criteria.

    As we were already using #NewRelic, my recommendation was to move to the pro tier so we would benefit from advanced APM features, synthetics, mobile & infrastructure monitoring. And gain 360 degree view of our infrastructure.

    Few things I liked about New Relic: - Mobile App and push notificatin - Ease of setting up new alerts - Being notified via email and push notifications without requiring another alerting 3rd party solution

    I've certainly seen use cases where NewRelic can also be used as an input data source for Datadog. Therefore depending on your use case, it might also be worth evaluating a joint usage of both solutions.

    See more
    Sebastian G臋bski
    Sebastian G臋bski
    CTO at Shedul/Fresha | 4 upvotes 296.1K views
    atFresha EngineeringFresha Engineering
    CircleCI
    CircleCI
    Jenkins
    Jenkins
    Git
    Git
    GitHub
    GitHub
    New Relic
    New Relic
    AppSignal
    AppSignal
    Sentry
    Sentry
    Logentries
    Logentries

    Regarding Continuous Integration - we've started with something very easy to set up - CircleCI , but with time we're adding more & more complex pipelines - we use Jenkins to configure & run those. It's much more effort, but at some point we had to pay for the flexibility we expected. Our source code version control is Git (which probably doesn't require a rationale these days) and we keep repos in GitHub - since the very beginning & we never considered moving out. Our primary monitoring these days is in New Relic (Ruby & SPA apps) and AppSignal (Elixir apps) - we're considering unifying it in New Relic , but this will require some improvements in Elixir app observability. For error reporting we use Sentry (a very popular choice in this class) & we collect our distributed logs using Logentries (to avoid semi-manual handling here).

    See more
    Robert Zuber
    Robert Zuber
    CTO at CircleCI | 8 upvotes 210.1K views
    atCircleCICircleCI
    Datadog
    Datadog
    PagerDuty
    PagerDuty
    Honeycomb
    Honeycomb
    Rollbar
    Rollbar
    Segment
    Segment
    Amplitude
    Amplitude
    PostgreSQL
    PostgreSQL
    Looker
    Looker

    Our primary source of monitoring and alerting is Datadog. We鈥檝e got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We鈥檝e definitely scaled past the point where managing dashboards is easy, but we haven鈥檛 had time to invest in using features like Anomaly Detection. We鈥檝e started using Honeycomb for some targeted debugging of complex production issues and we are liking what we鈥檝e seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.

    We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.

    See more
    Interest over time
    Reviews of AppSignal and Datadog
    Review ofDatadogDatadog

    Background

    We're a real-time financial services messaging company, so being able to monitor our servers and applications in real-time is important to us. We also like a good deal, so $15/server seemed a bargain.

    What were we looking for?

    We wanted to monitor our MS infrastructure (servers, SQL) and apps (C#) to understand performance issues and be able to rectify. We also want to be able to do long-term trending. And we wanted to go from nothing to live in a short time.

    Experience

    Installing the Datadog agent on the servers was a breeze and enabling the integrations for SQL and Windows trivial.

    Using the StatsD based API was also very easy - no worrying about JSON or UDP calls. The ability to add tags to all metrics is also a key benefit. We run multiple (100+) instances of a single application and being able to distinguish events from each one via tagging, or to see aggregates, is extremely useful.

    In all it took 2 days R&D to instrument our key applications sufficiently for production deployment. Deploying the agent to our production servers took 30 mins, giving our Ops team complete visibility for the 1st time.

    What have we learned

    Since we've been live Datadog has given us numerous insights into the way our system behaves, from uneven server loadings and sporadic memory usage to performance tuning a key application that resulted in a 50% increase in throughput. Knowing what's taking the time has been a boon.

    Continuous evolution

    The other nice surprise has been the evolving nature of Datadog. It seems like every couple of weeks there's a new feature on the site.

    Other points

    • I like the transparent pricing. Services that won't show me the price without having to talk to a sales person are really annoying.
    • Support has been good. We've contacted them several times with questions and always had a quick response (time zone considered...we're in London) and a helpful answer.

    So What's bad?

    Probably the weakest aspect at the moment is the long term trending of data. Whilst you can wind the time bar back to see what happened last week you can't ask questions like "show me the peak period each day for the last x months". The "get data" API is also fairly weak. Neither are concerns at the moment, and I'm sure they're on the to-do list.

    Review ofDatadogDatadog

    I've been a systems administrator most of my career. Everywhere I went, I'd have to rebuild the same monitoring + graphing system. And then make sure that every machine wrote to that system and every application handed up the proper metrics through whatever mechanism seemed good at the time.

    Then, as CTO of SimpleReach, single-handedly managing over 200 servers in addition to everything else, I found Datadog. We were already using statsd to instrument our applications, now it was just a matter of getting that data to Datadog. We use Chef, so I installed the Datadog agent on every machine in about 10 minutes and we were up and running.

    The best part was that we had a deploy problem the next day with one of our main applications and troubleshooting took minutes instead of hours (and Datadog immediately paid for itself). Now no new features go out without instrumentation and no machine gets created without being monitored.

    Datadog just scales with us. Great service and I highly recommend it to anyone not looking to reinvent the wheel with monitoring and instrumentation.

    Review ofDatadogDatadog

    Datadog makes running a service with 800,000 unique users a month possible as a single developer/maintainer. I bought a separate monitor just to keep my datadog dashboards always visible and rely on triggers to keep watch over 20+ servers.

    Highly recommended.

    Review ofDatadogDatadog

    We use datadog to monitor our servers and some application metrics. Easy to get started and scale to many servers. Datadog support engineers are always quick to respond to bugs and other challenges.

    How developers use AppSignal and Datadog
    Avatar of DigitalPermits
    DigitalPermits uses DatadogDatadog

    We just started looking into Datadog, but from what we see, it's like New Relic meets Loggly. It's really easy to plugin different services (like the one on this list) and get detailed analysis of what is happening on your servers and services. It makes tracking down sparse and difficult to understand problems possible.

    Avatar of Sail Tactics
    Sail Tactics uses DatadogDatadog

    Monitoring day-to-day operations of multiple high-performance computing assets distributed across several networks. Monitoring vendor provided data and setting up alerts when things do not show up on time.

    Avatar of AngeloR
    AngeloR uses DatadogDatadog

    Datadog was used as an agent for monitoring and as for the statsd daemon included. This way we are able to have automated system stats and include whatever other metrics we want to track.

    Avatar of Dynamictivity
    Dynamictivity uses DatadogDatadog

    Datadog is used because it has a great free tier and it provides us with great insights and integrations into our infrastructure and tools.

    Avatar of Flux Work
    Flux Work uses DatadogDatadog

    Powerful all-in-one monitoring solution as a service. Good integration with AWS. Very affordable price for small-scale startups.

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