Alternatives to Instana logo

Alternatives to Instana

Datadog, AppDynamics, New Relic, SignalFx, and LightStep are the most popular alternatives and competitors to Instana.
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What is Instana and what are its top alternatives?

It is the Application Performance Management solution for modern dynamic applications, using automation and AI to manage their service quality.
Instana is a tool in the Performance Monitoring category of a tech stack.
Instana is an open source tool with GitHub stars and GitHub forks. Here’s a link to Instana's open source repository on GitHub

Top Alternatives to Instana

  • 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! ...

  • AppDynamics
    AppDynamics

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

  • 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. ...

  • SignalFx
    SignalFx

    We provide operational intelligence for today’s elastic architectures through monitoring specifically designed for microservices and containers with: -powerful and proactive alerting -metrics aggregation -visualization into time series data ...

  • LightStep
    LightStep

    It diagnoses anomalies and slowdowns, spanning mobile, monoliths, and micro services: best-in-class observability, at scale, for modern applications. ...

  • Sysdig
    Sysdig

    Sysdig is open source, system-level exploration: capture system state and activity from a running Linux instance, then save, filter and analyze. Sysdig is scriptable in Lua and includes a command line interface and a powerful interactive UI, csysdig, that runs in your terminal. Think of sysdig as strace + tcpdump + htop + iftop + lsof + awesome sauce. With state of the art container visibility on top. ...

  • 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. ...

  • 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. ...

Instana alternatives & related posts

Datadog logo

Datadog

7.4K
6.5K
824
Unify logs, metrics, and traces from across your distributed infrastructure.
7.4K
6.5K
+ 1
824
PROS OF DATADOG
  • 135
    Monitoring for many apps (databases, web servers, etc)
  • 106
    Easy setup
  • 86
    Powerful ui
  • 82
    Powerful integrations
  • 69
    Great value
  • 53
    Great visualization
  • 45
    Events + metrics = clarity
  • 40
    Custom metrics
  • 40
    Notifications
  • 38
    Flexibility
  • 18
    Free & paid plans
  • 15
    Great customer support
  • 14
    Makes my life easier
  • 9
    Adapts automatically as i scale up
  • 8
    Easy setup and plugins
  • 7
    Super easy and powerful
  • 6
    AWS support
  • 6
    In-context collaboration
  • 5
    Rich in features
  • 4
    Docker support
  • 4
    Cost
  • 3
    Automation tools
  • 3
    Source control and bug tracking
  • 3
    Simple, powerful, great for infra
  • 3
    Cute logo
  • 3
    Expensive
  • 3
    Easy to Analyze
  • 3
    Full visibility of applications
  • 3
    Monitor almost everything
  • 3
    Best than others
  • 2
    Good for Startups
  • 2
    Free setup
  • 2
    Best in the field
  • 1
    APM
CONS OF DATADOG
  • 17
    Expensive
  • 4
    No errors exception tracking
  • 2
    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’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

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
AppDynamics logo

AppDynamics

274
556
59
Application management for the cloud generation
274
556
+ 1
59
PROS OF APPDYNAMICS
  • 18
    Deep code visibility
  • 11
    Powerful
  • 7
    Great visualization
  • 7
    Real-Time Visibility
  • 6
    Easy Setup
  • 5
    Comprehensive Coverage of Programming Languages
  • 3
    Deep DB Troubleshooting
  • 2
    Excellent Customer Support
CONS OF APPDYNAMICS
  • 5
    Expensive
  • 2
    Poor to non-existent integration with aws services

related AppDynamics posts

Farzeem Diamond Jiwani
Software Engineer at IVP · | 5 upvotes · 869.9K 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

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?

See more
New Relic logo

New Relic

19.6K
7.6K
1.9K
New Relic is the industry’s largest and most comprehensive cloud-based observability platform.
19.6K
7.6K
+ 1
1.9K
PROS OF NEW RELIC
  • 415
    Easy setup
  • 344
    Really powerful
  • 244
    Awesome visualization
  • 194
    Ease of use
  • 151
    Great ui
  • 107
    Free tier
  • 80
    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
    Browser Transaction Tracing
  • 4
    Top Database Operations
  • 4
    Easy to use
  • 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
  • 2
    Background Jobs Transaction Analysis
  • 1
    Real User Monitoring Overview
  • 1
    Worst Transactions by User Dissatisfaction
  • 1
    Metric Data Resolution
  • 1
    Metric Data Retention
  • 1
    Team Collaboration Tools
  • 1
    Rails integration
  • 1
    Super Expensive
  • 1
    Incident Detection and Alerting
  • 1
    Free
  • 1
    Time Comparisons
  • 1
    Best of the best, what more can you ask for
  • 1
    Best monitoring on the market
  • 1
    Access to Performance Data API
  • 1
    Real User Monitoring Analysis and Breakdown
  • 0
    Exceptions
CONS OF NEW RELIC
  • 19
    Pricing model doesn't suit microservices
  • 10
    UI isn't great
  • 7
    Expensive
  • 7
    Visualizations aren't very helpful
  • 5
    Hard to understand why things in your app are breaking

related New Relic posts

Farzeem Diamond Jiwani
Software Engineer at IVP · | 5 upvotes · 869.9K 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 Gębski

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
SignalFx logo

SignalFx

51
107
22
Monitoring and Operational Intelligence for the Cloud
51
107
+ 1
22
PROS OF SIGNALFX
  • 5
    High cardinality
  • 5
    Scalability
  • 4
    World class customer support
  • 4
    Easy to install
  • 4
    Fastest alerts
CONS OF SIGNALFX
    Be the first to leave a con

    related SignalFx posts

    LightStep logo

    LightStep

    29
    61
    15
    A fast way for developers and DevOps to adopt best-of-breed distributed tracing
    29
    61
    + 1
    15
    PROS OF LIGHTSTEP
    • 3
      Powerful UI
    • 3
      Easy setup
    • 3
      Observability End-to-End
    • 3
      Great Value
    • 3
      Fast RCA
    CONS OF LIGHTSTEP
      Be the first to leave a con

      related LightStep posts

      Sysdig logo

      Sysdig

      74
      143
      15
      Open source container monitoring for all Linux container technologies, including Docker, LXC, etc
      74
      143
      + 1
      15
      PROS OF SYSDIG
      • 5
        Powerful web app
      • 5
        Easy setup
      • 5
        Monitoring
      CONS OF SYSDIG
        Be the first to leave a con

        related Sysdig posts

        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

        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
        Grafana logo

        Grafana

        13.6K
        10.9K
        402
        Open source Graphite & InfluxDB Dashboard and Graph Editor
        13.6K
        10.9K
        + 1
        402
        PROS OF GRAFANA
        • 84
          Beautiful
        • 67
          Graphs are interactive
        • 57
          Free
        • 56
          Easy
        • 33
          Nicer than the Graphite web interface
        • 24
          Many integrations
        • 17
          Can build dashboards
        • 10
          Easy to specify time window
        • 9
          Dashboards contain number tiles
        • 8
          Can collaborate on dashboards
        • 5
          Open Source
        • 5
          Click and drag to zoom in
        • 5
          Integration with InfluxDB
        • 4
          Authentification and users management
        • 4
          Threshold limits in graphs
        • 3
          It is open to cloud watch and many database
        • 3
          Simple and native support to Prometheus
        • 2
          Great community support
        • 2
          Alerts
        • 2
          You can use this for development to check memcache
        • 2
          You can visualize real time data to put alerts
        • 0
          Grapsh as code
        • 0
          Plugin visualizationa
        CONS OF GRAFANA
        • 1
          No interactive query builder

        related Grafana posts

        Conor Myhrvold
        Tech Brand Mgr, Office of CTO at Uber · | 15 upvotes · 3.2M 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)

        See more
        Matt Menzenski
        Senior Software Engineering Manager at PayIt · | 14 upvotes · 256.9K 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.

        See more
        Prometheus logo

        Prometheus

        3.1K
        3.4K
        238
        An open-source service monitoring system and time series database, developed by SoundCloud
        3.1K
        3.4K
        + 1
        238
        PROS OF PROMETHEUS
        • 46
          Powerful easy to use monitoring
        • 38
          Flexible query language
        • 32
          Dimensional data model
        • 27
          Alerts
        • 23
          Active and responsive community
        • 22
          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
        • 12
          Just for metrics
        • 6
          Bad UI
        • 6
          Needs monitoring to access metrics endpoints
        • 4
          Not easy to configure and use
        • 3
          Supports only active agents
        • 2
          Written in Go
        • 2
          TLS is quite difficult to understand
        • 2
          Requires multiple applications and tools
        • 1
          Single point of failure

        related Prometheus posts

        Conor Myhrvold
        Tech Brand Mgr, Office of CTO at Uber · | 15 upvotes · 3.2M 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)

        See more
        Matt Menzenski
        Senior Software Engineering Manager at PayIt · | 14 upvotes · 256.9K 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.

        See more