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  1. Many times, system processing stops until an API returns a response. Network latency thus creates application performance issues. For instance, a flight-booking website will use an API call to get information about the number of seats available on a specific flight. Network latency might impact website performance, causing it to stop functioning.

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  3. Latency should be measured with canaries to represent the client experience as well as with server-side metrics. Whenever the average of some percentile latency, like P99 or TM99.9, goes above a target SLA, you can consider that downtime, which contributes to your annual downtime calculation.

  4. These metrics relate to the most critical aspects of a service's performance: latency, faults, and errors. They can help you identify issues, monitor performance trends, and optimize resources to improve the overall user experience.

    • Legacy Application
    • Moving to The Cloud
    • Does It Scale?
    • Conclusion

    Imagine I have a Containerize application that receives an API input and inserts the payload into a database. Once the item is inserted, I must communicate this action to other services/departments and save this request for future analysis. The Service Layer has the logic to run all the steps and send the correct information to each service/departm...

    Assuming I am not an expert with Serverless, I will do my research and start replacing my legacy application with serverless native services. For reasons (that are not important to this article), I will end up to something like this: I have replaced Express.js with Amazon API gateway. The Service Layer code is now running inside AWS Lambda, where I...

    It depends on what I want to achieve. If I develop this application without using any best practices, this application will run around 400ms with this setup: 1. Node.js 2. Lambda at 1024 MB of memory 3. No parallelism 4. No usage of execution context 5. Burst quota 1000 Lambda 6. Lambda concurrency 1000 That will result in more or less 2.5K TPS. Th...

    Latency can be a potential issue with serverless applications, but some steps can be taken to minimise it. By following these best practices, you can help reduce latency in your AWS Lambda environment and ensure that your functions can execute quickly and efficiently. In addition, doing so will significantly influence your application's scalability...

  5. Latency is the delay in network communication. It shows the time that data takes to transfer across the network. Networks with a longer delay or lag have high latency, while those with fast response times have lower latency. In contrast, throughput refers to the average volume of data that can actually pass through the network over a specific time.

  6. Latency is the time needed for a packet to go from source to destination over a network connection, and is usually measured in milliseconds (ms), with low latency requirements sometimes expressed in microseconds (μs). Latency is a function of the speed of light, hence latency increases with distance.

  7. Dec 15, 2023 · For example, my GetResource API will achieve a latency of less than 1000ms 99.9% of 1-minute periods in a rolling 14-day interval. You can create an SLO on any CloudWatch metric, not just those metrics which have been collected through CloudWatch Application Signals.

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