cold-start

Is there a way to assign a Static IP to a AWS Lambda without VPC?

由 怎甘沉沦 提交于 2020-07-17 11:55:52
问题 I am looking to assign a static IP to my Lambda which is being invoked via the API gateway. This is required because, the downstream system that i invoke from this lambda accepts web requests only from a Whitelisted IP. I am successful in achieving this via the VPC that i associate with my lambda. But VPC introduces a bad cold-start time which sometime ranges 12-16seconds. So i am looking for a way to prevent this cold start from the VPC, but at the same time assign a static IP to the lambda.

Android: how to determine cold start

由 南楼画角 提交于 2020-01-15 03:46:21
问题 When app being launched, how to determine it is cold start or not? By cold start, I mean the app launched from the very beginning, instead of just resumed from a previous state. :Edit: elaborate my question: I'm trying to find the app's launch mode: cold start or warm start. Cold start means the app is never launched before or not in background, so it needs a complete launch. Warm start means it is still in background, so it can resume and start faster. How to distinguish these two start

why my .net application horribly slow to start after the machine is rebooted?

由 会有一股神秘感。 提交于 2019-12-19 07:51:48
问题 Does anyone know why it is so horribly slow to start a .net application after the machine is rebooted(i.e cold start) ? After researching in google I found some clues for speeding it up i.e. Merging assemblies Setting resource language NGEN GAC installation, etc. Is that all enough to make my .net application faster or anything else is there I am missing ? 回答1: Another reason could be Authenticode signed assemblies and no internet connection. See Why are signed assemblies slow to load? and

Android emulator - Don't save state by default

由 半世苍凉 提交于 2019-12-17 17:53:37
问题 In the latest update for Android studio, the emulator has started saving snapshots of the current state of the device by default and going back to that snapshot when reopened, which is not the behavior that I want. How can I disable that and go back to the previous behavior, where it just closes and resets the emulator? UI after hitting the X button to close Android Studio 3.0.1 , with Emulator version 27.0.2 and HAXM 6.2.1 回答1: disable that and go back to the previous behavior Unselect quick

Android - Prevent white screen at startup

由 爱⌒轻易说出口 提交于 2019-12-17 07:59:48
问题 As we all know, many Android apps display a white screen very briefly before their first Activity comes into focus. This problem is observed in the following cases: Android apps that extend the global Application class and perform major initializations therein. The Application object is always created before the first Activity (a fact that can be observed in the debugger), so this makes sense. This is the cause of the delay in my case. Android apps that display the default preview window

Retrofit2 deserialization / conversion on non-main thread using rxjava

由 淺唱寂寞╮ 提交于 2019-12-11 07:35:02
问题 I've referred to this answer already and it seems to be related to Retrofit v1. Goal -> To reduce cold start time by making ObjectMapper work on non-main thread. This image shows a stack trace of it happening on the main thread. Setup: compile "com.squareup.retrofit2:retrofit:2.1.0" compile "com.squareup.retrofit2:converter-jackson:2.1.0" compile "com.squareup.retrofit2:adapter-rxjava:2.1.0" compile 'io.reactivex:rxjava:1.1.9' This is configuration for retrofit .addCallAdapterFactory

How do I adapt my recommendation engine to cold starts?

由 最后都变了- 提交于 2019-12-09 13:09:11
问题 I am curious what are the methods / approaches to overcome the "cold start" problem where when a new user or an item enters the system, due to lack of info about this new entity, making recommendation is a problem. I can think of doing some prediction based recommendation (like gender, nationality and so on). 回答1: Maybe there are times you just shouldn't make a recommendation? "Insufficient data" should qualify as one of those times. I just don't see how prediction recommendations based on

How do I adapt my recommendation engine to cold starts?

由 ≯℡__Kan透↙ 提交于 2019-12-03 15:12:42
I am curious what are the methods / approaches to overcome the "cold start" problem where when a new user or an item enters the system, due to lack of info about this new entity, making recommendation is a problem. I can think of doing some prediction based recommendation (like gender, nationality and so on). Maybe there are times you just shouldn't make a recommendation? "Insufficient data" should qualify as one of those times. I just don't see how prediction recommendations based on "gender, nationality and so on" will amount to more than stereotyping. IIRC, places such as Amazon built up

How to keep desired amount of AWS Lambda function containers warm

由 可紊 提交于 2019-12-03 09:19:28
问题 On my project there is REST API which implemented on AWS API Gateway and AWS Lambda. As AWS Lambda functions are serverless and stateless while we make a call to it, AWS starts a container with code of the Lambda function which process our call. According AWS documentation after finishing of lambda function execution AWS don't stop the container and we are able to process next call in that container. Such approach improves performance of the service - only in time of first call AWS spend time

How to keep desired amount of AWS Lambda function containers warm

由 有些话、适合烂在心里 提交于 2019-12-02 23:45:12
On my project there is REST API which implemented on AWS API Gateway and AWS Lambda. As AWS Lambda functions are serverless and stateless while we make a call to it, AWS starts a container with code of the Lambda function which process our call. According AWS documentation after finishing of lambda function execution AWS don't stop the container and we are able to process next call in that container. Such approach improves performance of the service - only in time of first call AWS spend time to start container (cold start of Lambda function) and all next calls are executed faster because
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