AppDynamics vs AppSignal vs Prometheus

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AppDynamics
AppDynamics

105
116
+ 1
46
AppSignal
AppSignal

64
43
+ 1
31
Prometheus
Prometheus

1.1K
832
+ 1
184
- No public GitHub repository available -
- No public GitHub repository available -

What is AppDynamics?

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

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 Prometheus?

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
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Why do developers choose AppDynamics?
Why do developers choose AppSignal?
Why do developers choose Prometheus?

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    What companies use AppDynamics?
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    What tools integrate with AppDynamics?
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    What are some alternatives to AppDynamics, AppSignal, and Prometheus?
    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.
    Nagios
    Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.
    Splunk
    Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
    ELK
    It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
    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!
    See all alternatives
    Decisions about AppDynamics, AppSignal, and Prometheus
    Joseph Irving
    Joseph Irving
    DevOps Engineer at uSwitch · | 5 upvotes · 36.2K views
    atuSwitchuSwitch
    Thanos
    Thanos
    Prometheus
    Prometheus
    Kubernetes
    Kubernetes

    We recently implemented Thanos alongside Prometheus into our Kubernetes clusters, we had previously used a variety of different metrics systems and we wanted to make life simpler for everyone by just picking one.

    Prometheus seemed like an obvious choice due to its powerful querying language, native Kubernetes support and great community. However we found it somewhat lacking when it came to being highly available, something that would be very important if we wanted this to be the single source of all our metrics.

    Thanos came along and solved a lot of these problems. It allowed us to run multiple Prometheis without duplicating metrics, query multiple Prometheus clusters at once, and easily back up data and then query it. Now we have a single place to go if you want to view metrics across all our clusters, with many layers of redundancy to make sure this monitoring solution is as reliable and resilient as we could reasonably make it.

    If you're interested in a bit more detail feel free to check out the blog I wrote on the subject that's linked.

    See more
    Conor Myhrvold
    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber · | 10 upvotes · 844.1K views
    atUber TechnologiesUber Technologies
    Prometheus
    Prometheus
    Graphite
    Graphite
    Grafana
    Grafana
    Nagios
    Nagios

    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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    Sebastian Gębski
    Sebastian Gębski
    CTO at Shedul/Fresha · | 4 upvotes · 296.2K 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).

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    Raja Subramaniam Mahali
    Raja Subramaniam Mahali
    Prometheus
    Prometheus
    Kubernetes
    Kubernetes
    Sysdig
    Sysdig

    We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

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    Interest over time
    Reviews of AppDynamics, AppSignal, and Prometheus
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    How developers use AppDynamics, AppSignal, and Prometheus
    Avatar of Scrayos UG (haftungsbeschränkt)
    Scrayos UG (haftungsbeschränkt) uses PrometheusPrometheus

    We primarily use Prometheus to gather metrics and statistics to display them in Grafana. Aside from that we poll Prometheus for our orchestration-solution "JCOverseer" to determine, which host is least occupied at the moment.

    Avatar of Daniel Steel
    Daniel Steel uses AppDynamicsAppDynamics

    AppDynamics is used to monitor our full end to end user experience journey's including the infrastructure health.

    Avatar of Tom Staijen
    Tom Staijen uses PrometheusPrometheus

    Gather metrics from systems and applications. Evaluate alerting rules. Alerts are pushed to OpsGenie and Slack.

    Avatar of HyVive
    HyVive uses PrometheusPrometheus

    We primarily use Prometheus to gather metrics and statistics to display them in Grafana.

    Avatar of Performance Assessment Network (PAN)
    Performance Assessment Network (PAN) uses AppDynamicsAppDynamics

    APM for our web apps, and rolling out of the End User Experience Monitoring

    Avatar of Cisco SSO
    Cisco SSO uses AppDynamicsAppDynamics

    Application Performance Monitoring and Management

    Avatar of Bùi Thanh
    Bùi Thanh uses PrometheusPrometheus
    • Simple operation and easy to deploy.
    Avatar of Roy Olsen
    Roy Olsen uses PrometheusPrometheus

    Predictive monitoring.

    How much does AppDynamics cost?
    How much does AppSignal cost?
    How much does Prometheus cost?
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