What is Jaeger and what are its top alternatives?
Jaeger is an open-source distributed tracing system that helps users monitor and troubleshoot microservices-based distributed systems. Its key features include end-to-end tracing, high scalability, support for multiple programming languages, and integration with various cloud platforms. However, some limitations of Jaeger include the complexity of setting up and maintaining the system, as well as potential performance overhead in highly dynamic environments.
- Zipkin: Zipkin is another popular open-source distributed tracing system that offers features similar to Jaeger. It supports multiple backends, scalable architecture, and compatibility with various programming languages. However, Zipkin may lack some advanced features found in Jaeger.
- OpenTelemetry: OpenTelemetry is a set of APIs, libraries, agents, and instrumentation to provide observability for distributed systems. It offers vendor-agnostic instrumentation and interoperability, as well as active community support. However, OpenTelemetry may require more configuration compared to Jaeger.
- SkyWalking: Apache SkyWalking is an APM tool with distributed tracing capabilities that supports various backend systems and programming languages. It offers advanced features like service mesh integration and anomaly detection. However, SkyWalking may have a steeper learning curve than Jaeger.
- Instana: Instana is a commercial APM solution that includes distributed tracing as one of its features. It provides automatic instrumentation, AI-powered analysis, and deep visibility into microservices architectures. However, Instana comes with a cost compared to the open-source Jaeger.
- Datadog APM: Datadog APM is a cloud-based application performance monitoring solution that offers distributed tracing capabilities. It provides end-to-end visibility, smart alerting, and deep integrations with various technologies. However, Datadog APM is a paid service and may not be as customizable as Jaeger.
- New Relic: New Relic is an APM tool that includes distributed tracing features for monitoring complex application environments. It offers real-time insights, detailed performance metrics, and seamless integration with various platforms. However, New Relic may come with a higher cost compared to Jaeger.
- LightStep: LightStep is a distributed tracing solution designed for monitoring and debugging microservices architectures. It provides advanced analytics, real-time exploration, and distributed context propagation. However, LightStep may have a more limited free tier compared to Jaeger.
- Honeycomb: Honeycomb is a platform for observability that includes distributed tracing capabilities for diagnosing performance issues in complex systems. It offers high granularity data, adaptive sampling, and collaborative debugging features. However, Honeycomb may have a higher price point compared to Jaeger.
- Wavefront: Wavefront is a monitoring and analytics platform that includes distributed tracing functionality for tracking requests across microservices. It offers real-time analytics, machine learning-driven insights, and scalable architecture. However, Wavefront may be more focused on metrics monitoring compared to Jaeger.
- AppDynamics: AppDynamics is an APM platform that provides distributed tracing capabilities for monitoring application performance in real-time. It offers visibility into user transactions, code-level diagnostics, and integration with various technologies. However, AppDynamics may have a higher cost compared to Jaeger.
Top Alternatives to Jaeger
- Zipkin
It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. ...
- AppDynamics
AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics. ...
- 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. ...
- OpenTracing
Consistent, expressive, vendor-neutral APIs for distributed tracing and context propagation. ...
- 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! ...
- Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data. ...
- Titan
Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time. ...
- 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. ...
Jaeger alternatives & related posts
- Open Source10
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- 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
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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!
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.
Prometheus
- Powerful easy to use monitoring47
- Flexible query language38
- Dimensional data model32
- Alerts27
- Active and responsive community23
- Extensive integrations22
- Easy to setup19
- Beautiful Model and Query language12
- Easy to extend7
- Nice6
- Written in Go3
- Good for experimentation2
- Easy for monitoring1
- Just for metrics12
- Bad UI6
- Needs monitoring to access metrics endpoints6
- Not easy to configure and use4
- Supports only active agents3
- Written in Go2
- TLS is quite difficult to understand2
- Requires multiple applications and tools2
- Single point of failure1
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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.
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...
(GitHub : https://github.com/m3db/m3)
OpenTracing
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- Flexibility39
- Free & paid plans19
- Great customer support16
- Makes my life easier15
- Adapts automatically as i scale up10
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- Super easy and powerful8
- AWS support7
- In-context collaboration7
- Rich in features6
- Docker support5
- Cost4
- Full visibility of applications4
- Monitor almost everything4
- Cute logo4
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- Source control and bug tracking4
- Simple, powerful, great for infra4
- Easy to Analyze4
- Best than others4
- Best in the field3
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- Good for Startups3
- Free setup3
- APM2
- Expensive20
- No errors exception tracking4
- External Network Goes Down You Wont Be Logging2
- Complicated1
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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.
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!
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- 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
related Splunk posts
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.
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New Relic
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- Heroku Add-on17
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- Transaction Tracing9
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- Azure Add-on8
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- Top Database Operations4
- Easy to use4
- Application Map3
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- Easy to setup2
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- Super Expensive1
- Team Collaboration Tools1
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- Metric Data Resolution1
- Worst Transactions by User Dissatisfaction1
- Real User Monitoring Overview1
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- Time Comparisons1
- Access to Performance Data API1
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- Best of the best, what more can you ask for1
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- Rails integration1
- Free1
- Proce0
- Price0
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- Cost0
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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?