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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Azure Application Insights vs SignalFx

Azure Application Insights vs SignalFx

OverviewComparisonAlternatives

Overview

SignalFx
SignalFx
Stacks53
Followers110
Votes22
Azure Application Insights
Azure Application Insights
Stacks343
Followers288
Votes12

Azure Application Insights vs SignalFx: What are the differences?

  1. Data Collection and Monitoring Capabilities: Azure Application Insights primarily focuses on monitoring applications and measuring their performance, collecting data like request rates, response times, and failure rates. On the other hand, SignalFx excels in real-time streaming analytics, providing advanced monitoring and alerting capabilities for infrastructure and application performance with features like intelligent alerting and anomaly detection.

  2. Integration with Azure Services vs. Multi-Cloud Support: Azure Application Insights seamlessly integrates with various Azure services, making it the preferred choice for organizations heavily invested in the Azure ecosystem. In contrast, SignalFx offers support for multi-cloud environments, enabling monitoring and observability across different cloud platforms such as AWS, Google Cloud, and Azure.

  3. Scalability and Data Retention: Azure Application Insights comes with specific limitations on data retention and scalability, with options to increase storage capacity but at an additional cost. SignalFx, on the other hand, provides a more flexible and scalable approach to data retention, offering unlimited data storage and rapid scalability to handle vast amounts of monitoring data effortlessly.

  4. Custom Metrics and Dashboards: While both Azure Application Insights and SignalFx allow users to create custom metrics and dashboards, the level of customization differs between the two. Azure Application Insights provides a robust set of tools for customizing dashboards and metrics within the Azure portal, whereas SignalFx offers more advanced visualization options and customization features for creating tailored monitoring solutions.

  5. Machine Learning and AI Capabilities: SignalFx stands out with its built-in artificial intelligence and machine learning capabilities, enabling intelligent analytics and predictive monitoring for proactive issue resolution. In comparison, Azure Application Insights lacks native machine learning integration but can be integrated with Azure Machine Learning for advanced analytical capabilities.

  6. Community and Support: Azure Application Insights benefits from Microsoft's extensive documentation, support resources, and a large user community within the Azure ecosystem. SignalFx, while offering robust technical support, also boasts a vibrant user community and a broader range of integrations with popular tools and services beyond Microsoft's offerings.

In Summary, Azure Application Insights and SignalFx have key differences in their focus on data collection, integration capabilities, scalability, customization options, artificial intelligence features, and community support.

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Detailed Comparison

SignalFx
SignalFx
Azure Application Insights
Azure Application Insights

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

It is an extensible Application Performance Management service for developers and DevOps professionals. Use it to monitor your live applications. It will automatically detect performance anomalies, and includes powerful analytics tools.

Beautiful streaming visualizations; Meaningful, fast alerting using SignalFlow analytics; High resolution metrics up to 1 sec; Filter & aggregate by dimesions like source, geo, customer, etc; Build custom real-time analytics pipelines; Use dynamic alert thresholds like moving averages; Get alerts in PagerDuty, VictorOps, HipChat, Slack, & more; Overlay events like alerts, pushes, CI runs, etc; Integrations with AWS services, Docker, Mesos, Kubernetes, Kafka, Cassandra, Mongo, MySQL & much more; Use OSS agents and metrics libraries like collectd, StatsD, etc; Provides OSS libraries in Java, Python, Go, Node, Ruby, etc; Provides OSS proxy to consume existing metrics; REST API;
Extensible Application Performance Management (APM) service; Monitor your live applications; Automatically detect performance anomalies
Statistics
Stacks
53
Stacks
343
Followers
110
Followers
288
Votes
22
Votes
12
Pros & Cons
Pros
  • 5
    High cardinality
  • 5
    Scalability
  • 4
    Fastest alerts
  • 4
    World class customer support
  • 4
    Easy to install
Pros
  • 6
    Focus in detect performance anomalies and issues
  • 3
    Integrated with Azure
  • 1
    User flow
  • 1
    Availability tests (Heart Beat check)
  • 1
    Live Metrics
Cons
  • 2
    Difficult to surface information
  • 1
    UI is clunky and gets in the way
  • 1
    Custom instrumentation via code only
Integrations
Golang
Golang
Redis
Redis
VictorOps
VictorOps
AWS OpsWorks
AWS OpsWorks
Amazon Route 53
Amazon Route 53
Kafka
Kafka
Python
Python
New Relic
New Relic
Chef
Chef
PagerDuty
PagerDuty
No integrations available

What are some alternatives to SignalFx, Azure Application Insights?

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.

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!

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

AppSignal

AppSignal

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

AppDynamics

AppDynamics

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

Stackify

Stackify

Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster

Skylight

Skylight

Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.

Librato

Librato

Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.

Keymetrics

Keymetrics

PM2 is a production process manager for Node.js applications with a built-in load balancer. It allows you to keep applications alive forever, to reload them without downtime and to facilitate common system admin tasks.

Dynatrace

Dynatrace

It is an AI-powered, full stack, automated performance management solution. It provides user experience analysis that identifies and resolves application performance issues faster than ever before.

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