What is Azure Application Insights and what are its top alternatives?
Azure Application Insights is a cloud-based application performance management service that allows developers to monitor and diagnose issues in their applications. It provides features such as performance monitoring, log analytics, and user analytics. However, some limitations of Azure Application Insights include its cost for large-scale applications and the learning curve required to fully utilize all of its features.
New Relic: New Relic offers performance monitoring, error tracking, and infrastructure monitoring for applications. It provides detailed insights into application performance and user experience. Pros: user-friendly interface, strong community support. Cons: can be expensive for large applications.
Datadog: Datadog is a cloud monitoring service that offers application performance monitoring, infrastructure monitoring, and log management. It helps teams track the performance of their applications and infrastructure in real-time. Pros: easy to set up, offers integrations with many popular tools. Cons: pricing can be complex.
Dynatrace: Dynatrace is an application performance management tool that provides monitoring for web applications, mobile apps, and microservices. It offers AI-powered insights and automatic root cause analysis for issues. Pros: offers detailed insights, easy to use dashboard. Cons: can be costly.
Splunk: Splunk is a platform for monitoring and analyzing machine data, including log data. It offers features such as log management, monitoring, and alerting. Pros: powerful search capabilities, customizable dashboards. Cons: can have a steep learning curve.
AppDynamics: AppDynamics is an application performance management tool that offers real-time monitoring, troubleshooting, and analytics for applications. It helps teams identify performance issues and optimize application performance. Pros: seamless integration with different technologies, extensive monitoring capabilities. Cons: high pricing.
Raygun: Raygun offers application performance monitoring and error tracking for web and mobile applications. It provides real-time insights into application performance and user experience. Pros: user-friendly interface, affordable pricing plans. Cons: limited customization options.
Stackify Retrace: Stackify Retrace is an APM tool that offers application monitoring, error tracking, and log management. It helps developers identify performance issues and troubleshoot errors in their applications. Pros: easy to set up, offers detailed performance metrics. Cons: limited integrations compared to other tools.
Opsgenie by Atlassian: Opsgenie is an incident management and alerting tool that integrates with monitoring tools like Azure Application Insights. It helps teams respond to incidents faster and improve their incident management process. Pros: robust alerting capabilities, integrates with various monitoring tools. Cons: may require additional setup for full functionality.
Instana: Instana is an application performance monitoring tool that offers automatic monitoring and tracing for cloud-native applications. It provides real-time insights into performance metrics and dependencies. Pros: automatic discovery of services, detailed performance analysis. Cons: pricing can be on the higher side.
Grafana Cloud: Grafana Cloud is an observability platform that includes Grafana for visualization, Prometheus for monitoring, and Loki for logging. It offers a comprehensive solution for monitoring applications, infrastructure, and logs. Pros: powerful visualization capabilities, scalable platform. Cons: may require some technical expertise to set up and configure.
Top Alternatives to Azure Application Insights
- 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. ...
- Google Analytics
Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications. ...
- AppDynamics
AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics. ...
- Azure Monitor
It provides sophisticated tools for collecting and analyzing telemetry that allow you to maximize the performance and availability of your cloud and on-premises resources and applications. ...
- 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. ...
- Splunk
It provides the leading platform for Operational Intelligence. Customers use it 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. ...
- Serilog
It provides diagnostic logging to files, the console, and elsewhere. It is easy to set up, has a clean API, and is portable between recent .NET platforms. ...
Azure Application Insights alternatives & related posts
New Relic
- Easy setup415
- Really powerful344
- Awesome visualization245
- Ease of use194
- Great ui151
- Free tier106
- Great tool for insights80
- Heroku Integration66
- Market leader55
- Peace of mind49
- Push notifications21
- Email notifications20
- Heroku Add-on17
- Error Detection and Alerting16
- Multiple language support13
- SQL Analysis11
- Server Resources Monitoring11
- Transaction Tracing9
- Apdex Scores8
- Azure Add-on8
- Analysis of CPU, Disk, Memory, and Network7
- Detailed reports7
- Performance of External Services6
- Error Analysis6
- Application Availability Monitoring and Alerting6
- Application Response Times6
- Most Time Consuming Transactions5
- JVM Performance Analyzer (Java)5
- Browser Transaction Tracing4
- Top Database Operations4
- Easy to use4
- Application Map3
- Weekly Performance Email3
- Pagoda Box integration3
- Custom Dashboards3
- Easy to setup2
- Background Jobs Transaction Analysis2
- App Speed Index2
- Super Expensive1
- Team Collaboration Tools1
- Metric Data Retention1
- Metric Data Resolution1
- Worst Transactions by User Dissatisfaction1
- Real User Monitoring Overview1
- Real User Monitoring Analysis and Breakdown1
- Time Comparisons1
- Access to Performance Data API1
- Incident Detection and Alerting1
- Best of the best, what more can you ask for1
- Best monitoring on the market1
- Rails integration1
- Free1
- Proce0
- Price0
- Exceptions0
- Cost0
- Pricing model doesn't suit microservices20
- UI isn't great10
- Expensive7
- Visualizations aren't very helpful7
- Hard to understand why things in your app are breaking5
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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!
I need to choose a monitoring tool for my project, but currently, my application doesn't have much load or many users. My application is not generating GBs of data. We don't want to send the user information to New Relic because it's a 3rd party tool. And we can deploy Kibana locally on our server. What should I use, Kibana or New Relic?
- Free1.5K
- Easy setup926
- Data visualization890
- Real-time stats698
- Comprehensive feature set405
- Goals tracking181
- Powerful funnel conversion reporting154
- Customizable reports138
- Custom events try83
- Elastic api53
- Updated regulary14
- Interactive Documentation8
- Google play3
- Industry Standard2
- Advanced ecommerce2
- Walkman music video playlist2
- Medium / Channel data split1
- Irina1
- Financial Management Challenges -2015h1
- Lifesaver1
- Easy to integrate1
- Confusing UX/UI11
- Super complex8
- Very hard to build out funnels6
- Poor web performance metrics4
- Very easy to confuse the user of the analytics3
- Time spent on page isn't accurate out of the box2
related Google Analytics posts
This is my stack in Application & Data
JavaScript PHP HTML5 jQuery Redis Amazon EC2 Ubuntu Sass Vue.js Firebase Laravel Lumen Amazon RDS GraphQL MariaDB
My Utilities Tools
Google Analytics Postman Elasticsearch
My Devops Tools
Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack
My Business Tools
Slack
Functionally, Amplitude and Mixpanel are incredibly similar. They both offer almost all the same functionality around tracking and visualizing user actions for analytics. You can track A/B test results in both. We ended up going with Amplitude at BaseDash because it has a more generous free tier for our uses (10 million actions per month, versus Mixpanel's 1000 monthly tracked users).
Segment isn't meant to compete with these tools, but instead acts as an API to send actions to them, and other analytics tools. If you're just sending event data to one of these tools, you probably don't need Segment. If you're using other analytics tools like Google Analytics and FullStory, Segment makes it easy to send events to all your tools at once.
- Deep code visibility21
- Powerful13
- Real-Time Visibility8
- Great visualization7
- Easy Setup6
- Comprehensive Coverage of Programming Languages6
- Deep DB Troubleshooting4
- Excellent Customer Support3
- Expensive5
- Poor to non-existent integration with aws services2
related AppDynamics posts
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!
We are evaluating an APM tool and would like to select between AppDynamics or Datadog. Our applications are largely hosted on Microsoft Azure but we would keep the option to move to AWS or Google Cloud Platform in the future.
In addition to core Azure services, we will be hosting other components - including MongoDB, Keycloak, PagerDuty, etc. Our applications are largely C# and React-based using frontend for Backend patterns and Azure API gateway. In addition, there are close to 50+ external services integrated using both REST and SOAP.
related Azure Monitor posts
Hello People, I want suggestions about monitoring and alert tools to use with .NET application which will be hosted on Microsoft Azure. I have Azure Monitor,, Grafana, and Prometheus in my consideration. What would you suggest among these tools? If you have any other suggestions, please share the ideas. Thank you.
Can I get metrics available through Prometheus into Azure Monitor, specifically into log analytics? (VM'S). I am running a couple of VM's inside Azure portal and I have my own private besu nodes running on them. I have my metrics set up inside the Prometheus but I was hoping to hook it up securely to Grafana but I tried everything and I can't. So the next thing is to see if can I get the metrics available through Prometheus into azure monitor, specifically into log analytics. The aim is to get the sync status, and the highest block number on each node, into log analytics so we can see what each is doing. That way we know, on a quick look, the status of each node and by extension, the condition of the private chain. What worries me is that although I have alerts if blocks stop being created or nodes lose peers we cannot see it quickly.
Prometheus is one option to give us those stats. If we can get data from Prometheus into log analytics that would solve the problem.
Can anyone help me with how I can go about it or any links? All I am seeing is for containers but I want for my VMs.
- Real User Monitoring4
- Automated RCA4
- Out-of-the-box distributed transaction tracing3
- Built on massive industry expertise (since 2005)2
- AI-powered platform2
- Extensible via SDK2
- Digital Experience1
- Easy setup1
- Accelerate software delivery1
- Infrastructure Monitoring1
- Applications & Microservices1
- Application Security1
- Built on API-first design principles1
- Automatic instrumentathird generation full stack Agents1
- Analytics vMotion events detection Discovery Performanc1
- Automation1
- Business Analytics1
- Application Security0
- Real User Monitoring0
- Infrastructure Monitoring0
- Applications & Microservices0
- AI-powered platform0
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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!
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?
- API for searching logs, running reports3
- Alert system based on custom query results3
- Splunk language supports string, date manip, math, etc2
- Dashboarding on any log contents2
- Custom log parsing as well as automatic parsing2
- Query engine supports joining, aggregation, stats, etc2
- Rich GUI for searching live logs2
- Ability to style search results into reports2
- Granular scheduling and time window support1
- Query any log as key-value pairs1
- Splunk query language rich so lots to learn1
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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.
We are currently exploring Elasticsearch and Splunk for our centralized logging solution. I need some feedback about these two tools. We expect our logs in the range of upwards > of 10TB of logging data.
ELK
- Open source14
- Can run locally4
- Good for startups with monetary limitations3
- External Network Goes Down You Aren't Without Logging1
- Easy to setup1
- Json log supprt0
- Live logging0
- Elastic Search is a resource hog5
- Logstash configuration is a pain3
- Bad for startups with personal limitations1
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Docker Docker Compose Portainer ELK Elasticsearch Kibana Logstash nginx
- It's a logging library1
- They are two different things1
- You can't compare this to seq1