AWS X-Ray is a powerful debugging and performance analysis tool offered by Amazon Web Services. It allows developers to trace requests made to their applications and identify bottlenecks and issues.
The pricing for AWS X-Ray varies depending on the scale and the type of user. As you scale up, the pricing generally improves, especially if you have a relationship with Amazon.
Government users can also benefit from government pricing. For commercial users, there is a noticeable increase in cost when transitioning from small to medium or big enterprises. Small businesses can often make use of the free tier, however, larger enterprises may find it more expensive on a per-user basis.
AWS X-Ray has provided some users with significant returns on investment.
The primary use case of AWS X-Ray is to understand the behavior of a system and its microservices, especially when multiple developers have worked on it. It helps to visualize the system's architecture and how different components are interconnected.
Another use case is to identify bottlenecks in terms of stability and performance, as well as analyze the response time and duration of certain data.
It can be used for monitoring and tracking activity within applications.
AWS X-Ray allows the tracing of HTTP requests, detecting errors or exceptions, and measuring the time taken for each request. It is commonly used for logging purposes in code.
The most valuable features of AWS X-Ray include:
It helps achieve regulatory and security levels required by the federal government, ensures excellent performance, and allows for easy identification of issues and loopholes in the product. Additionally, it provides detailed logs, allows direct queries for specific requests, and offers a wealth of information for analysis.
Based on the reviews, some areas that need improvement in AWS X-Ray are:
The initial setup for AWS X-Ray can vary depending on the level of detail desired. It can be segmented on Lambda levels using SDKs or dedicated libraries for a more detailed perspective. Sampling on different levels is also an option.
It is generally considered straightforward and can be completed within one to two days. With some studying and documentation, it is manageable. Deployment is fast, usually taking only a matter of minutes. Configuration in AWS CloudFormation and adding a line of code to the project is typically all that is needed. Additionally, only one person is required for deployment and maintenance.
AWS X-Ray is highly scalable and can easily handle large user bases. Users have highlighted its ease of scaling, emphasizing its expansive use cases and additional features.
The feedback on the customer service and support of AWS X-Ray is mixed.
AWS X-Ray appears to be stable and reliable. There is only one known issue, which seems to be related to data loss, however, it is not yet confirmed whether it is a problem with X-Ray or a different component. Despite this, the overall feedback is positive, with reviewers rating stability positively.
The pricing for AWS X-Ray varies depending on the scale and the type of user. As you scale up, the pricing generally improves, especially if you have a relationship with Amazon.
Government users can also benefit from government pricing. For commercial users, there is a noticeable increase in cost when transitioning from small to medium or big enterprises. Small businesses can often make use of the free tier, however, larger enterprises may find it more expensive on a per-user basis.
AWS X-Ray has provided some users with significant returns on investment.
The primary use case of AWS X-Ray is to understand the behavior of a system and its microservices, especially when multiple developers have worked on it. It helps to visualize the system's architecture and how different components are interconnected.
Another use case is to identify bottlenecks in terms of stability and performance, as well as analyze the response time and duration of certain data.
It can be used for monitoring and tracking activity within applications.
AWS X-Ray allows the tracing of HTTP requests, detecting errors or exceptions, and measuring the time taken for each request. It is commonly used for logging purposes in code.
The most valuable features of AWS X-Ray include:
It helps achieve regulatory and security levels required by the federal government, ensures excellent performance, and allows for easy identification of issues and loopholes in the product. Additionally, it provides detailed logs, allows direct queries for specific requests, and offers a wealth of information for analysis.
Based on the reviews, some areas that need improvement in AWS X-Ray are:
The initial setup for AWS X-Ray can vary depending on the level of detail desired. It can be segmented on Lambda levels using SDKs or dedicated libraries for a more detailed perspective. Sampling on different levels is also an option.
It is generally considered straightforward and can be completed within one to two days. With some studying and documentation, it is manageable. Deployment is fast, usually taking only a matter of minutes. Configuration in AWS CloudFormation and adding a line of code to the project is typically all that is needed. Additionally, only one person is required for deployment and maintenance.
AWS X-Ray is highly scalable and can easily handle large user bases. Users have highlighted its ease of scaling, emphasizing its expansive use cases and additional features.
The feedback on the customer service and support of AWS X-Ray is mixed.
AWS X-Ray appears to be stable and reliable. There is only one known issue, which seems to be related to data loss, however, it is not yet confirmed whether it is a problem with X-Ray or a different component. Despite this, the overall feedback is positive, with reviewers rating stability positively.
With X-Ray, developers can visualize the entire request flow and pinpoint the exact location where errors occur. It provides detailed insights into the performance of individual components and helps optimize the overall application performance.
X-Ray integrates seamlessly with other AWS services, making it easy to trace requests across different services and identify dependencies. It also offers a comprehensive set of APIs and SDKs, enabling developers to instrument their applications and capture valuable data for analysis. With its user-friendly interface and powerful features, AWS X-Ray is a valuable tool for developers looking to improve the performance and reliability of their applications.
AWS X-Ray is the #12 ranked solution in APM tools. PeerSpot users give AWS X-Ray an average rating of 8.2 out of 10. AWS X-Ray is most commonly compared to Datadog: AWS X-Ray vs Datadog. AWS X-Ray is popular among the large enterprise segment, accounting for 70% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 20% of all views.COMCAST, ConnectWise, skyscanner, AirAsia, cookpad, cimpress, VTEX, zowdow
