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Based on our record, NewRelic should be more popular than AWS X-Ray. It has been mentiond 80 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I also send some annotations and subsegments to X-Ray that makes it easy to identify bottlenecks and Lambda cold starts. - Source: dev.to / 5 months ago
In my eventual use case, this is minor since it'll be run asynchronously, and can take as long as it generally pleases. But that's not as great for our synchronous demo API. So it's time to enable AWS X-Ray to run the distributed tracing over the whole thing. - Source: dev.to / 10 months ago
I've not used AWS' offering but I believe that this is what you can use https://aws.amazon.com/xray/. Source: 12 months ago
AWS X-Ray is the first tracing-specific platform on this list. X-Ray focuses on troubleshooting and debugging use cases enabled by distributed tracing, such as identifying latency bottlenecks or diagnosing the root cause of unusual behavior, particularly in microservices/serverless architectures. - Source: dev.to / about 1 year ago
AWS X-Ray is a distributed tracing system included in the AWS cloud platform, that enables developers to monitor, analyze, and debug distributed applications running on AWS infrastructure. It provides information on how an application is performing and allows developers to identify and resolve performance issues quickly. X-Ray traces requests as they travel through an application, providing a comprehensive view of... - Source: dev.to / about 1 year ago
Tip: You can use tools like DataDog, perf (Linux), New Relic etc. To monitor cache performance. - Source: dev.to / 17 days ago
Using APM tools like NewRelic, Sentry, Datadog, etc to monitor the performance of your application and while you're on it, they can help you identify N+1 queries. - Source: dev.to / 26 days ago
These tools track server and underlying infrastructure and backend performance. They monitor several metrics, like disk I/O, CPU and memory usage, network traffic, and more. Some examples of these tools include New Relic, Datadog, and AppDynamics. Web administrators can use them to see what's causing slow SRT, like high CPU usage or network traffic. Server-side monitoring tools also provide real-time alerts to... - Source: dev.to / 2 months ago
11 Application performance: Before we even perform a deployment, we should configure monitoring tools like Retrace, DataDog, New Relic, or AppDynamics to look for performance problems, hidden errors, and other issues. During and after the deployment, we should also look for any changes in overall application performance and establish some benchmarks to know when things deviate from the norm. - Source: dev.to / 2 months ago
Recently, we have been experiencing some Latency issues. The reason being the increase in our userbase as more companies are adopting our platform to do their procurement efficiently. Our core product is a monolith rails application served on AWS servers. We use AWS ELB's Application load balancer to swiftly balance the load on multiple servers and increase them when needed. So, these sudden latency issues caused... - Source: dev.to / 2 months ago
Lumigo - With one-click distributed tracing, Lumigo lets developers effortlessly find and fix issues in serverless and microservices environments.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Zabbix - Track, record, alert and visualize performance and availability of IT resources
Amazon CloudWatch - Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.
Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!
Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.