Alternatives to Boundary logo

Alternatives to Boundary

New Relic, Datadog, ruxit, Librato, and AppDynamics are the most popular alternatives and competitors to Boundary.
11
18
+ 1
10

What is Boundary and what are its top alternatives?

Monitor it all: web servers, load balancers, application back-ends, big data clusters, queues, caching nodes, or databases. Boundary provides insights no matter what stack you use, whether you deploy in the cloud or your data center.
Boundary is a tool in the Performance Monitoring category of a tech stack.

Boundary alternatives & related posts

New Relic logo

New Relic

14.4K
3K
1.9K
14.4K
3K
+ 1
1.9K
SaaS Application Performance Management for Ruby, PHP, .Net, Java, Python, and Node.js Apps.
New Relic logo
New Relic
VS
Boundary logo
Boundary

related New Relic posts

Sebastian Gębski
Sebastian Gębski
CTO at Shedul/Fresha · | 4 upvotes · 242.6K views
atFresha EngineeringFresha Engineering
Logentries
Logentries
Sentry
Sentry
AppSignal
AppSignal
New Relic
New Relic
GitHub
GitHub
Git
Git
Jenkins
Jenkins
CircleCI
CircleCI

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
Julien DeFrance
Julien DeFrance
Principal Software Engineer at Tophatter · | 3 upvotes · 59.6K views
atStessaStessa
Datadog
Datadog
New Relic
New Relic
#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

related Datadog posts

Robert Zuber
Robert Zuber
CTO at CircleCI · | 8 upvotes · 108K views
atCircleCICircleCI
Looker
Looker
PostgreSQL
PostgreSQL
Amplitude
Amplitude
Segment
Segment
Rollbar
Rollbar
Honeycomb
Honeycomb
PagerDuty
PagerDuty
Datadog
Datadog

Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve 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
StackShare Editors
StackShare Editors
Flask
Flask
AWS EC2
AWS EC2
Celery
Celery
Datadog
Datadog
PagerDuty
PagerDuty
Airflow
Airflow
StatsD
StatsD
Grafana
Grafana

Data science and engineering teams at Lyft maintain several big data pipelines that serve as the foundation for various types of analysis throughout the business.

Apache Airflow sits at the center of this big data infrastructure, allowing users to “programmatically author, schedule, and monitor data pipelines.” Airflow is an open source tool, and “Lyft is the very first Airflow adopter in production since the project was open sourced around three years ago.”

There are several key components of the architecture. A web UI allows users to view the status of their queries, along with an audit trail of any modifications the query. A metadata database stores things like job status and task instance status. A multi-process scheduler handles job requests, and triggers the executor to execute those tasks.

Airflow supports several executors, though Lyft uses CeleryExecutor to scale task execution in production. Airflow is deployed to three Amazon Auto Scaling Groups, with each associated with a celery queue.

Audit logs supplied to the web UI are powered by the existing Airflow audit logs as well as Flask signal.

Datadog, Statsd, Grafana, and PagerDuty are all used to monitor the Airflow system.

See more
ruxit logo

ruxit

244
14
5
244
14
+ 1
5
Full stack availability and performance monitoring powered by artificial intelligence
ruxit logo
ruxit
VS
Boundary logo
Boundary
Librato logo

Librato

97
46
31
97
46
+ 1
31
Real-Time Cloud Monitoring
Librato logo
Librato
VS
Boundary logo
Boundary

related Skylight posts

Jerome Dalbert
Jerome Dalbert
Senior Backend Engineer at StackShare · | 3 upvotes · 39.1K views
atStackShareStackShare
Slack
Slack
Pingdom
Pingdom
Rails
Rails
Skylight
Skylight
New Relic
New Relic
Heroku
Heroku

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.

See more
Azure Application Insights logo

Azure Application Insights

72
42
0
72
42
+ 1
0
It is an extensible Application Performance Management (APM) service for web developers
    Be the first to leave a pro
    Azure Application Insights logo
    Azure Application Insights
    VS
    Boundary logo
    Boundary
    phpMyAdmin logo

    phpMyAdmin

    64
    31
    0
    64
    31
    + 1
    0
    A free software, for MySQL and MariaDB
      Be the first to leave a pro
      phpMyAdmin logo
      phpMyAdmin
      VS
      Boundary logo
      Boundary

      related AppSignal posts

      Sebastian Gębski
      Sebastian Gębski
      CTO at Shedul/Fresha · | 4 upvotes · 242.6K views
      atFresha EngineeringFresha Engineering
      Logentries
      Logentries
      Sentry
      Sentry
      AppSignal
      AppSignal
      New Relic
      New Relic
      GitHub
      GitHub
      Git
      Git
      Jenkins
      Jenkins
      CircleCI
      CircleCI

      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
      Scout logo

      Scout

      58
      43
      26
      58
      43
      + 1
      26
      Application Monitoring that Developers Love
      Scout logo
      Scout
      VS
      Boundary logo
      Boundary
      Kadira logo

      Kadira

      35
      28
      15
      35
      28
      + 1
      15
      Performance Monitoring for Meteor
      Kadira logo
      Kadira
      VS
      Boundary logo
      Boundary
      Blackfire.io logo

      Blackfire.io

      33
      27
      9
      33
      27
      + 1
      9
      Blackfire Profiler automatically instruments your code to gather data about consumed server resources like memory, CPU time, and...
      Blackfire.io logo
      Blackfire.io
      VS
      Boundary logo
      Boundary
      Navicat logo

      Navicat

      20
      8
      0
      20
      8
      + 1
      0
      Navicat is a comprehensive DB tool for MySQL, MariaDB, SQL Server, SQLite, Oracle and PostgreSQL development and management.
        Be the first to leave a pro
        Navicat logo
        Navicat
        VS
        Boundary logo
        Boundary
        Wavefront logo

        Wavefront

        20
        17
        0
        20
        17
        + 1
        0
        Unified Cloud Monitoring with Real-Time Analytics
          Be the first to leave a pro
          Wavefront logo
          Wavefront
          VS
          Boundary logo
          Boundary
          Honeycomb logo

          Honeycomb

          19
          30
          0
          19
          30
          + 1
          0
          Observability for a distributed world--designed for high cardinality data and collaborative problem solving 🐝💖
            Be the first to leave a pro
            Honeycomb logo
            Honeycomb
            VS
            Boundary logo
            Boundary

            related Honeycomb posts

            Robert Zuber
            Robert Zuber
            CTO at CircleCI · | 8 upvotes · 108K views
            atCircleCICircleCI
            Looker
            Looker
            PostgreSQL
            PostgreSQL
            Amplitude
            Amplitude
            Segment
            Segment
            Rollbar
            Rollbar
            Honeycomb
            Honeycomb
            PagerDuty
            PagerDuty
            Datadog
            Datadog

            Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve 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
            SignalFx logo

            SignalFx

            18
            31
            10
            18
            31
            + 1
            10
            Monitoring and Operational Intelligence for the Cloud
            SignalFx logo
            SignalFx
            VS
            Boundary logo
            Boundary
            AWS X-Ray logo

            AWS X-Ray

            17
            5
            0
            17
            5
            + 1
            0
            An application performance management service
              Be the first to leave a pro
              AWS X-Ray logo
              AWS X-Ray
              VS
              Boundary logo
              Boundary