What is LightStep and what are its top alternatives?
LightStep is a distributed tracing tool that provides end-to-end visibility into complex systems, allowing users to monitor and analyze performance issues in real-time. Its key features include distributed tracing, root cause analysis, service topology mapping, and real-time alerts. However, LightStep's pricing can be expensive for small to medium-sized businesses, and the learning curve for its advanced features can be steep.1. Jaeger: Jaeger is an open-source, end-to-end distributed tracing tool that helps users monitor and troubleshoot transactions in complex systems. Key features include high scalability, adaptive sampling, and support for multiple languages. Pros: Open-source, easy integration with Kubernetes. Cons: Limited support for advanced telemetry analysis.2. Zipkin: Zipkin is another open-source distributed tracing system that helps users gather timing data needed to troubleshoot latency problems. Key features include support for different storage backends, dependency graph visualization, and rich instrumentation. Pros: Open-source, flexible architecture. Cons: Limited scalability for large systems.3. Datadog APM: Datadog's APM tool provides distributed tracing and real-time performance monitoring for applications running in cloud environments. Key features include code-level insights, customizable dashboards, and seamless integration with other Datadog monitoring tools. Pros: Easy to use, rich visualization capabilities. Cons: Higher pricing compared to some alternatives.4. Dynatrace: Dynatrace is an AI-driven monitoring solution that offers distributed tracing, code-level insights, and automated root cause analysis for optimizing application performance. Key features include real-time user monitoring, automatic deployment analysis, and built-in log analytics. Pros: AI-powered insights, comprehensive monitoring capabilities. Cons: Higher cost for additional features.5. Instana: Instana is an application performance management tool that provides real-time monitoring, distributed tracing, and anomaly detection for microservices and cloud-native applications. Key features include automated application mapping, dynamic dependency discovery, and continuous profiler. Pros: Automatic infrastructure monitoring, easy setup. Cons: Limited support for legacy systems.6. OpenTelemetry: OpenTelemetry is a set of APIs, libraries, agents, and instrumentation to provide distributed tracing and telemetry data collection for cloud-native software. Key features include vendor-agnostic observability and seamless integration with various monitoring tools. Pros: Community-driven, flexible instrumentation. Cons: Initial setup and configuration can be complex.7. New Relic: New Relic is a cloud-based observability platform that offers distributed tracing, error monitoring, and performance optimization for modern software environments. Key features include real-time alerts, customizable dashboards, and end-user experience monitoring. Pros: All-in-one observability solution, easy to use. Cons: Pricing can be high for certain features.8. Honeycomb: Honeycomb is an observability platform that provides distributed tracing, debugging, and performance monitoring for modern engineering teams. Key features include high-resolution data sampling, comprehensive event analytics, and collaborative tools for issue resolution. Pros: High-resolution data, collaborative debugging. Cons: Pricing can be complex for larger organizations.9. SignalFx: SignalFx is a cloud monitoring platform that offers distributed tracing, real-time analytics, and visualization for applications built on modern architectures. Key features include predictive analytics, anomaly detection, and integration with popular CI/CD tools. Pros: Real-time alerting, scalable architecture. Cons: Limited support for legacy systems.10. Sysdig: Sysdig provides container monitoring and security solutions, including distributed tracing, troubleshooting, and performance optimization for containerized applications. Key features include deep container visibility, real-time metrics, and automated anomaly detection. Pros: Focus on containerized environments, robust security features. Cons: Less focus on traditional application architectures.
Top Alternatives to LightStep
- Honeycomb
We built Honeycomb to answer the hard questions that come up when you're trying to operate your software–to debug microservices, serverless, distributed systems, polyglot persistence, containers, and a world of fast, parallel deploys. ...
- 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
Jaeger, a Distributed Tracing System
- 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! ...
- Instana
It is the Application Performance Management solution for modern dynamic applications, using automation and AI to manage their service quality. ...
- AppDynamics
AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics. ...
- 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 ...
- Zipkin
It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. ...
LightStep alternatives & related posts
Honeycomb
- Powerful UI2
- High-Cardinality Data2
- BubbleUp + Heat maps2
- Better Value1
related Honeycomb posts
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.
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
related New Relic 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!
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?
- Open Source7
- Easy to install7
- Feature Rich UI6
- CNCF Project5
related Jaeger posts
- Monitoring for many apps (databases, web servers, etc)139
- Easy setup107
- Powerful ui87
- Powerful integrations84
- Great value70
- Great visualization54
- Events + metrics = clarity46
- Notifications41
- Custom metrics41
- Flexibility39
- Free & paid plans19
- Great customer support16
- Makes my life easier15
- Adapts automatically as i scale up10
- Easy setup and plugins9
- Super easy and powerful8
- AWS support7
- In-context collaboration7
- Rich in features6
- Docker support5
- Cost4
- Full visibility of applications4
- Monitor almost everything4
- Cute logo4
- Automation tools4
- Source control and bug tracking4
- Simple, powerful, great for infra4
- Easy to Analyze4
- Best than others4
- Best in the field3
- Expensive3
- Good for Startups3
- Free setup3
- APM2
- Expensive20
- No errors exception tracking4
- External Network Goes Down You Wont Be Logging2
- Complicated1
related Datadog posts
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!
- Flexible pricing4
- Easy to integrate4
- Insight into RCA3
- Self service3
- Simple query interface2
- Automatic1
related Instana posts
- 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.
- High cardinality5
- Scalability5
- World class customer support4
- Easy to install4
- Fastest alerts4
related SignalFx posts
- Open Source10