Alternatives to SignalFx logo

Alternatives to SignalFx

Datadog, Prometheus, Splunk, Sumo Logic, and Zipkin are the most popular alternatives and competitors to SignalFx.
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What is SignalFx and what are its top alternatives?

We provide operational intelligence for today鈥檚 elastic architectures through monitoring specifically designed for microservices and containers with: -powerful and proactive alerting -metrics aggregation -visualization into time series data
SignalFx is a tool in the Performance Monitoring category of a tech stack.

Top Alternatives to SignalFx

  • Datadog

    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! ...

  • Prometheus

    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. ...

  • Splunk

    Splunk

    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data. ...

  • Sumo Logic

    Sumo Logic

    Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight. ...

  • Zipkin

    Zipkin

    It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. ...

  • New Relic

    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. ...

  • Instana

    Instana

    It is the Application Performance Management solution for modern dynamic applications, using automation and AI to manage their service quality. ...

  • 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. ...

SignalFx alternatives & related posts

Datadog logo

Datadog

5.6K
4.8K
789
Unify logs, metrics, and traces from across your distributed infrastructure.
5.6K
4.8K
+ 1
789
PROS OF DATADOG
  • 132
    Monitoring for many apps (databases, web servers, etc)
  • 104
    Easy setup
  • 84
    Powerful ui
  • 81
    Powerful integrations
  • 67
    Great value
  • 52
    Great visualization
  • 43
    Events + metrics = clarity
  • 40
    Custom metrics
  • 39
    Notifications
  • 37
    Flexibility
  • 17
    Free & paid plans
  • 14
    Great customer support
  • 13
    Makes my life easier
  • 8
    Adapts automatically as i scale up
  • 8
    Easy setup and plugins
  • 6
    Super easy and powerful
  • 5
    AWS support
  • 5
    In-context collaboration
  • 4
    Rich in features
  • 3
    Cost
  • 3
    Best than others
  • 3
    Docker support
  • 2
    Expensive
  • 2
    Simple, powerful, great for infra
  • 2
    Easy to Analyze
  • 2
    Source control and bug tracking
  • 2
    Automation tools
  • 2
    Monitor almost everything
  • 2
    Free setup
  • 2
    Good for Startups
  • 2
    Cute logo
  • 2
    Full visibility of applications
  • 1
    Best in the field
CONS OF DATADOG
  • 15
    Expensive
  • 3
    No errors exception tracking
  • 1
    External Network Goes Down You Wont Be Logging
  • 1
    Complicated

related Datadog posts

Robert Zuber

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

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?

See more
Prometheus logo

Prometheus

2.3K
2.7K
233
An open-source service monitoring system and time series database, developed by SoundCloud
2.3K
2.7K
+ 1
233
PROS OF PROMETHEUS
  • 43
    Powerful easy to use monitoring
  • 39
    Flexible query language
  • 32
    Dimensional data model
  • 26
    Alerts
  • 22
    Active and responsive community
  • 21
    Extensive integrations
  • 19
    Easy to setup
  • 12
    Beautiful Model and Query language
  • 7
    Easy to extend
  • 6
    Nice
  • 3
    Written in Go
  • 2
    Good for experimentation
  • 1
    Easy for monitoring
CONS OF PROMETHEUS
  • 11
    Just for metrics
  • 6
    Needs monitoring to access metrics endpoints
  • 5
    Bad UI
  • 3
    Not easy to configure and use
  • 2
    Requires multiple applications and tools
  • 2
    Written in Go
  • 2
    Supports only active agents
  • 1
    TLS is quite difficult to understand

related Prometheus posts

Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber | 14 upvotes 路 2.8M 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鈥檚 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鈥檚 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)

See more

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.

See more
Splunk logo

Splunk

420
653
11
Search, monitor, analyze and visualize machine data
420
653
+ 1
11
PROS OF SPLUNK
  • 2
    API for searching logs, running reports
  • 1
    Query engine supports joining, aggregation, stats, etc
  • 1
    Ability to style search results into reports
  • 1
    Query any log as key-value pairs
  • 1
    Splunk language supports string, date manip, math, etc
  • 1
    Granular scheduling and time window support
  • 1
    Alert system based on custom query results
  • 1
    Custom log parsing as well as automatic parsing
  • 1
    Dashboarding on any log contents
  • 1
    Rich GUI for searching live logs
CONS OF SPLUNK
  • 1
    Splunk query language rich so lots to learn

related Splunk posts

Shared insights
on
Kibana
Splunk
Grafana

I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.

See more
Sumo Logic logo

Sumo Logic

184
227
21
Cloud Log Management for Application Logs and IT Log Data
184
227
+ 1
21
PROS OF SUMO LOGIC
  • 11
    Search capabilities
  • 5
    Live event streaming
  • 3
    Pci 3.0 compliant
  • 2
    Easy to setup
CONS OF SUMO LOGIC
  • 2
    Expensive
  • 1
    Missing Monitoring
  • 0
    Occasionally unreliable log ingestion

related Sumo Logic posts

Logentries, LogDNA, Timber.io, Papertrail and Sumo Logic provide free pricing plan for #Heroku application. You can add these applications as add-ons very easily.

See more
Zipkin logo

Zipkin

96
101
7
A distributed tracing system
96
101
+ 1
7
PROS OF ZIPKIN
  • 7
    Open Source
CONS OF ZIPKIN
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    related Zipkin posts

    New Relic logo

    New Relic

    18.1K
    6.3K
    1.9K
    SaaS Application Performance Management for Ruby, PHP, .Net, Java, Python, and Node.js Apps.
    18.1K
    6.3K
    + 1
    1.9K
    PROS OF NEW RELIC
    • 414
      Easy setup
    • 344
      Really powerful
    • 244
      Awesome visualization
    • 194
      Ease of use
    • 151
      Great ui
    • 107
      Free tier
    • 81
      Great tool for insights
    • 66
      Heroku Integration
    • 55
      Market leader
    • 49
      Peace of mind
    • 21
      Push notifications
    • 20
      Email notifications
    • 17
      Heroku Add-on
    • 16
      Error Detection and Alerting
    • 12
      Multiple language support
    • 11
      SQL Analysis
    • 11
      Server Resources Monitoring
    • 9
      Transaction Tracing
    • 8
      Apdex Scores
    • 8
      Azure Add-on
    • 7
      Analysis of CPU, Disk, Memory, and Network
    • 6
      Detailed reports
    • 6
      Performance of External Services
    • 6
      Error Analysis
    • 6
      Application Availability Monitoring and Alerting
    • 6
      Application Response Times
    • 5
      JVM Performance Analyzer (Java)
    • 5
      Most Time Consuming Transactions
    • 4
      Top Database Operations
    • 4
      Easy to use
    • 4
      Browser Transaction Tracing
    • 3
      Application Map
    • 3
      Pagoda Box integration
    • 3
      Custom Dashboards
    • 3
      Weekly Performance Email
    • 2
      Easy visibility
    • 2
      App Speed Index
    • 2
      Easy to setup
    • 1
      Real User Monitoring Analysis and Breakdown
    • 1
      Incident Detection and Alerting
    • 1
      Real User Monitoring Overview
    • 1
      Worst Transactions by User Dissatisfaction
    • 1
      Metric Data Resolution
    • 1
      Metric Data Retention
    • 1
      Team Collaboration Tools
    • 1
      Super Expensive
    • 1
      Time Comparisons
    • 1
      Access to Performance Data API
    • 1
      Background Jobs Transaction Analysis
    • 1
      Free
    • 1
      Best of the best, what more can you ask for
    • 1
      Best monitoring on the market
    • 1
      Rails integration
    • 0
      Exceptions
    • 0
      Ddd
    CONS OF NEW RELIC
    • 19
      Pricing model doesn't suit microservices
    • 10
      UI isn't great
    • 7
      Visualizations aren't very helpful
    • 7
      Expensive
    • 5
      Hard to understand why things in your app are breaking

    related New Relic posts

    Farzeem Diamond Jiwani
    Software Engineer at IVP | 5 upvotes 路 544.7K 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!

    See more
    Sebastian G臋bski

    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
    Instana logo

    Instana

    55
    74
    17
    Automatic Application and Infrastructure Monitoring
    55
    74
    + 1
    17
    PROS OF INSTANA
    • 4
      Flexible pricing
    • 4
      Easy to integrate
    • 3
      Insight into RCA
    • 3
      Self service
    • 2
      Simple query interface
    • 1
      Automatic
    CONS OF INSTANA
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      related Instana posts

      Grafana logo

      Grafana

      9.8K
      7.5K
      385
      Open source Graphite & InfluxDB Dashboard and Graph Editor
      9.8K
      7.5K
      + 1
      385
      PROS OF GRAFANA
      • 80
        Beautiful
      • 66
        Graphs are interactive
      • 54
        Free
      • 53
        Easy
      • 33
        Nicer than the Graphite web interface
      • 23
        Many integrations
      • 15
        Can build dashboards
      • 9
        Easy to specify time window
      • 9
        Dashboards contain number tiles
      • 8
        Can collaborate on dashboards
      • 5
        Open Source
      • 5
        Integration with InfluxDB
      • 4
        Authentification and users management
      • 4
        Threshold limits in graphs
      • 4
        Click and drag to zoom in
      • 3
        It is open to cloud watch and many database
      • 2
        Simple and native support to Prometheus
      • 2
        You can visualize real time data to put alerts
      • 2
        You can use this for development to check memcache
      • 2
        Alerts
      • 2
        Great community support
      • 0
        Plugin visualizationa
      • 0
        Grapsh as code
      CONS OF GRAFANA
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        related Grafana posts

        Conor Myhrvold
        Tech Brand Mgr, Office of CTO at Uber | 14 upvotes 路 2.8M 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鈥檚 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鈥檚 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)

        See more
        Shared insights
        on
        Grafana
        Kibana
        at

        For our Predictive Analytics platform, we have used both Grafana and Kibana

        Kibana has predictions and ML algorithms support, so if you need them, you may be better off with Kibana . The multi-variate analysis features it provide are very unique (not available in Grafana).

        For everything else, definitely Grafana . Especially the number of supported data sources, and plugins clearly makes Grafana a winner (in just visualization and reporting sense). Creating your own plugin is also very easy. The top pros of Grafana (which it does better than Kibana ) are:

        • Creating and organizing visualization panels
        • Templating the panels on dashboards for repetetive tasks
        • Realtime monitoring, filtering of charts based on conditions and variables
        • Export / Import in JSON format (that allows you to version and save your dashboard as part of git)
        See more