投稿時間:2022-08-13 20:21:52 RSSフィード2022-08-13 20:00 分まとめ(28件)

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IT	気になる、記になる…	CYRILL、｢iPhone 13｣シリーズ向けケース｢カラーブリック｣の700円オフセールを開催中	https://taisy0.com/2022/08/13/160112.html	cyrill	2022-08-13 10:23:05
python	Pythonタグが付けられた新着投稿 - Qiita	pyenv + venv を使ったpythonのバージョン管理【windows＆ubuntu】	https://qiita.com/adrauto/items/a83c21f794cb3be5f3af	ubuntu	2022-08-13 19:05:07
js	JavaScriptタグが付けられた新着投稿 - Qiita	JavaScript基本事項まとめ	https://qiita.com/LittleBear-6w6/items/7ed85159b2272070c977	javascript	2022-08-13 19:13:07
Linux	Ubuntuタグが付けられた新着投稿 - Qiita	pyenv + venv を使ったpythonのバージョン管理【windows＆ubuntu】	https://qiita.com/adrauto/items/a83c21f794cb3be5f3af	ubuntu	2022-08-13 19:05:07
Docker	dockerタグが付けられた新着投稿 - Qiita	Gatsby.js ページの追加・共通設定する方法を学ぶ	https://qiita.com/marumeru/items/47d478d5ca3f160c068d	dokcer	2022-08-13 19:08:56
golang	Goタグが付けられた新着投稿 - Qiita	gRPCについて調査してまとめた（入門編 / 実装編）	https://qiita.com/kawamou/items/49176fa4035d485065c1	firestore	2022-08-13 19:05:03
海外TECH	DEV Community	Implementing resilient applications with API Gateway (Health Check)	https://dev.to/apisix/implementing-resilient-applications-with-api-gateway-health-check-338c	Implementing resilient applications with API Gateway Health Check API Health Check We know that API services fail due to any number of reasons such as networks issues connection failed to open a connection to a data source like a SQL Server database and API performance issues failure to authenticate to dependencies outage of a shared dependency crash because of critical bugs memory leaks and many more In such scenarios our services should be resilient enough to deal with predictable failures when they happen before they become more significant headachesthan they need to be  Dealing with single server failures is more effortless as the number of applications grows you face new challenges in monitoring the health of each microservice to understand how your microservices based application behaves when any of them becomes unavailable As a part of API monitoring the best practices health check️allows immediate real time information about the state of your APIs containers and microservices An API health check is able to check anything that may interrupt the API from serving incoming requests For example when you are using orchestrators like Kubernetes and Service Fabric periodically perform health checks and determine that a service container is unhealthy it stops routing requests to that instance It also usually creates a new instance of that container API Health Check with an API GatewayThe simplest and standardized way to validate the status of a service is to define a new health check endpoint like health or status as a separate REST service implemented within a microservice component ASP NET Core offers Health Checks Middleware and libraries for reporting the health of app components Health checks are exposed by a microservice as HTTP HTTPS endpoints Then enable a health check managing functionality at the API Gateway level API Gateway acts as an orchestrator that can use this status report to decide how to manage the traffic load balance to a healthy node fail fast due to some cascading failures or simply alerts you when it notices something goes wrong API Gateway also ensures that routing and other network level components work together successfully to deliver a request to the API process It helps you to detect in the early stage and fix issues for your running application much more easily Apache APISIX Upstream Health CheckApache APISIX API Gateway supports almost all modern resiliency patterns like the timeouts fallbacks retry and circuit breaker I discussed in another blog post Implementing resilient applications with API Gateway Circuit breaker which can also be applied to your Microservices APIs Apache APISIX Health check mechanism performs health checks on each target upstream service regularly marking it as healthy or unhealthy based on whether they are responsive or not You can also retrieve anytime the health status of specific nodes by using the Control API health check endpoint Active and Passive Health ChecksAPISIX provides two types of health checks Active checks APISIX periodically requests a health check API endpoint exposed by a target backend service to identify if an upstream service is available to serve the request Passive checks APISIX acts as a proxy for operations that might fail The proxy monitors the number of recent failures that have occurred and uses this information to decide whether to allow the operation to proceed or simply return an exception directly The passive health check is also known as a Circuit breaker   How Upstream Active Health Check worksIn this blog post we are focusing on mainly the active health check and how to use it I covered the passive health check approach in more depth here by using of API Breaker Plugin You can enable and manage the active health check through the upstream configuration where health check configuration settings are defined To enable active health checks for the upstream you need to specify the configuration items such as counters statuses or interval how often API health status is determined in seconds and here a short breakdown of different scenarios that might happen If the upstream returns a healthy HTTP status code it will increment the upstream checks active healthy successescounter for the target node If the success counter reaches the limit specified in the configuration then the upstream node will be marked as healthy   If it fails to connect it will increment the upstream checks active unhealthy http failures counter for the target node If this counter reaches the limit specified in the configuration then the upstream node will be marked as unhealthy respectively   There are other properties like timeouts and tcp failures you can discover more about them in the documentation   Apache APISIX Upstream Health Check demoOnce we have the little background on how Apache APISIX handles health checking for its upstream services let s jump into the demo of implementing the health check orchestration mechanism for our existing sample project ASP NET Core WEB API with a single GET endpoint retrieves all products list Prerequisites ️If you followed the previous blog post about Manage  NET Microservices APIs with Apache APISIX API Gateway make sure you have read it and completed steps To run APISIX etcd and ASP NET WEB API before continuing with a demo session Register health check feature in the backendTo begin we need to use the HealthChecks feature in our back end Product ASP NET microservice With the help of built in APIs in NET we can configure the health check service easily The following example creates a health check endpoint at api health path We need to just add this code to Configure method in Startup cs fileapp UseHealthChecks api health Next we need to add simple logic to generate random health statuses each time you request the endpoint gives different result by indicating the health as Healthy Degraded or Unhealthy Of course you can add your custom logic to define the health status properly services AddHealthChecks AddCheck random health status gt Random rnd new for int j j lt j var rndNum rnd Next if rndNum return HealthCheckResult Unhealthy else return HealthCheckResult Healthy return HealthCheckResult Degraded With the above changes now we added the health check functionality to our API If you use curl cmd to make an HTTP request to the health check endpoint or navigate to the following URL on your browser you will see the health endpoint is responding To make the example close to reality you can also add one more instance of Product microservice Simply define another service in docker compose yaml file running in different ports like below productapi image productapi build context productapi dockerfile Dockerfile ports networks apisix productapi image productapi build context productapi dockerfile Dockerfile ports networks apisix Create an Upstream with Health Check configurationTo use the health check feature effectively and automate monitoring in the API Gateway you need to first create a new Upstream configure its properties and define a new Route with the upstream health check capability The following upstream configuration example monitors the health check of two nodes productapi and productapi by triggering every seconds api health endpoint of each if any of them is not available unhealthy it forwards the requests to a healthy node or report service unavailable error curl apisix admin upstreams H X API KEY eddcfffadbcf X PUT d nodes productapi productapi type roundrobin checks active type http http path api health healthy interval successes unhealthy interval http failures ️You can use the upstream checks active type field to specify whether to perform HTTP or HTTPS probes Create a Route for the upstreamNext we will configure new route so that APISIX can forward the request to the corresponding upstream service we created in the previous step curl apisix admin routes H X API KEY eddcfffadbcf X PUT d name Route for health check methods GET uri api products plugins upstream id Note that we can also achieve the same configuration results above with the CLI as with the Apache APISIX Dashboard You can learn more about the usage of the dashboard in the Getting started with Apache APISIX Dashboard video tutorial How to validate Health CheckWe can easily test how Apache APISIX monitors health checks of targets by stopping productapi or productapi container from docker which causes the Service Temporarily Unavailable error and when one target is unhealthy you can see the requests are forwarded to another healthy node The following curl cmd to simply trigger the api product endpoint curl http localhost api products iIf you look closer into the logs of both productapi service instances you can also notice the endpoint receives from APISIX many times requests to check health status apisix dotnet docker productapi fail Microsoft Extensions Diagnostics HealthChecks DefaultHealthCheckService apisix dotnet docker productapi Health check random health status with status Unhealthy completed after ms with message null What s next ️In this blog post we learned the usage of Apache APISIX API Gateway to enable health monitoring for microservices APIs There are many aspects of using API health check endpoints for API load balancing reporting metrics and testing APIs dependencies such as databases and external service endpoints to confirm availability APISIX can be also the central point for all types logging monitoring and tracing of API Observability and further derive useful data into other monitoring analytics and visualization solutions like Prometheus Grafana or Elasticsearch Learn more about API Observability with Apache APISIX Plugins Related resources➔Implementing resilient applications with API Gateway Circuit breaker ➔Manage NET Microservices APIs with Apache APISIX API Gateway ➔API Gateway Caching for ASP NET Core WEB API Recommended content ➔Watch Video Tutorial Getting Started with Apache APISIX ➔Watch Video Tutorial Manage NET Microservice API with Apache APISIX API Gateway ➔Read the blog post Overview of Apache APISIX API Gateway Plugins ➔Read the blog post Run Apache APISIX on Microsoft Azure Container Instance ➔Read the blog post API Security with OIDC by using Apache APISIX and Microsoft Azure AD ➔Read the blog post API Observability with Apache APISIX Plugins Community️Join the Apache APISIX Community Follow us on TwitterFind us on SlackMail to us with your questions	2022-08-13 10:35:00
海外TECH	DEV Community	A JavaScript monolith ready to scale	https://dev.to/joelbonetr/a-javascript-monolith-ready-to-scale-25o1	A JavaScript monolith ready to scaleIn many projects I use this stack to quickly getting the things done at the lowest cost possible Next JS provides both Node and React sweetened with built in features like file system based routing and much more If I need to create a project for a client and assuming there s no showstopper or impediment to proceed this way after the initial analysis I ll do the following Create a Next JS app Create a DB instance on my VPS or any provider Add an ORM with the proper DB driver I use Sequelize mostly or Mongoose but there are a tone out there you can pick your favourite one Define the data model Add some validation library I usually use Joi but as the ORM pick whichever suits best for you Create a directory api inside pages Add a folder for each backend entity like pages api usersThe index js inside will look something like that switch req method case GET return await getAllUsers case POST return await createUser default return res status end Method req method Not Allowed Add the view for this API inside pages that s pages usersWhich will use getServerSideProps see the API Reference to fetch desired data from this API and show related data If you need a component instead simply create a directory in the root like components users then you can import your React components in your pages Repeat steps to for each entity you need in your project You can even convert it into a PWA easily with Next PWA Scaling the monolithBecause it will probably grow in both code and hopefully customers If you already know that this project will need to handle thousands of concurrent requests you may prefer to start with a different architecture but in most cases I face you simply don t know how the project will do That s because it depends on many factors most of them are on the client s roof and some of them are not even under client s control The first step in scaling the project would be increase the amount of resources of your VPS or cloud instance When this is not enough or there are forecasts of heavy traffic you can simply split your api directory and run it on a Node server in a new instance That change requires few changes on both api code and frontend code e g changing your calls from localhost for a different thingy if you handled that with env variables congratulations it will cost like minutes and wrapping the api inside an Express plus adding some routing At this point we separated the frontend from backend If this is not enough you can then chunk your APIs and provide them through different instances Let s say we ve conceptually APIs inside our app users businesses and stats and our favourite monitoring tool shows us that stats is consuming the of the resources We can move Stats following the same steps into a fresh instance releasing a good amount of load from the other Following this conceptual guide we add costs just when the project needs them Please note that each step forward into a fully fledged micro services architecture doesn t eliminate the complexity it s moving the complexity from the code to the infrastructure thus I recommend to check some DevOPS concepts to make it less of a burden Do you want a full tutorial on that with code screenshots and examples Maybe discuss some step Let me know in the comments	2022-08-13 10:26:34
海外TECH	DEV Community	Converting Binary to Decimal with parseInt's Base Feature	https://dev.to/smpnjn/converting-binary-to-decimal-with-parseints-base-feature-5d3c	Converting Binary to Decimal with parseInt x s Base FeatureBinary numbers are numbers which are expressed in base notation rather than the base we are used to Consider how we normally count in base when we reach we have to add an extra number to express it Similarly in base when we reach the next number has to be expressed by adding a new number to it So while is equivalent to is equivalent to You can convert any binary numbers to decimal using the calculator below Binary to Decimal Calculator Converting Binary to Decimal using parseInt in JavascriptYou ve probably used parseInt before if you ve worked in Javascript but did you know you can set the base using parseInt If you use the second argument of parseInt you can set the base let x parseInt console log x Returns Most likely you ll want to use base but you can use any base you like here So parseInt will convert a base number to a decimal too This is a pretty useful and little used parseInt feature Converting Binary to Decimal using CalculationsAs mentioned previously you can calculate a binary value in decimal when you consider that you can only ever go as high as in binary just as you can only ever go as high as in decimal So as in decimal when you reach you have to add another number to represent in binary when you reach you have to add another number to represent so is The easiest way to convert a binary number to a decimal is to understand that each number in a binary can be represented like so BINARY DECIMAL All we have to do to convert a binary number to a decimal is to know that each number can be represented in binary as a decimal number which increases by a multiple of each time So the last number is and then the next is and the next is and so on To convert a binary like to decimal we multiply each number by its decimal representation So we can do giving us giving us giving us giving us giving us giving us giving us Then we add them all up So giving us	2022-08-13 10:14:00
海外TECH	DEV Community	The solution of Elixir continuous runtime system code coverage collection	https://dev.to/yeshan333/the-solution-of-elixir-continuous-runtime-system-code-coverage-collection-36p4	The solution of Elixir continuous runtime system code coverage collectionzh hansCode coverage is an effective means to assist software engineers in verifying code quality The runtime environment s ability to collect code coverage fully combines black and white box testing capabilities and greatly increases engineers confidence in software quality This article introduces a solution for code coverage collection in the Elixir runtime environment and provides an in depth insight into its internal principles Brief talk on code coverageAs a SDET or a SWE we often need to write unit tests or integration test cases to verify the correctness of the system application but at the same time we often question whether our tests are adequate At this time test coverage is a means of measuring the adequacy of our testing enhancing the success rate and confidence of the software release and giving us more reflective perspectives The note of the value is that high code coverage does not indicate high code quality but conversely code coverage is low and code quality will not be high Most programming languages come with the ability to collect unit test coverage and the same is true for Elixir the official mix build tool comes with the ability to collect coverage but it is currently only suitable for offline system not for runtime system This article will be based on Erlang s cover module to give a solution for the Elixir runtime system Since cover is Erlang s built in module but why it works equally well with Elixir we ll unveil its mystery in a follow up Before we get started let s take a look at the two mainstream ways in which the open source community collects code coverage at runtime here we look at the bytecode stubbing method of Java which has a huge ecosystem of the language community Next let s focus on the core of elixir runtime coverage collection in this article the cover module Delve into the Erlang Cover coverage collection implementation mechanism Introduction Erlang Covercover is part of Erlang s built in tools set providing a powerful ability to collect code coverage Erlang code coverage collection implementation analysisAs you can see from Erlang s official manual of the cover module cover counts the number of times every executable line in the Erlang program is executed From the introduction of the official documentation cover can be used for code coverage collection of the runtime system When the code is instrumented it does not modify the code source files of any modules or the beam files generated after compilation that is the industry calls the On The Fly mode Every time the executable row is called the runtime system updates the number of calls to cover in an in memory database erlang ets for storing data for subsequent coverage analysis Next we ll explore the details of the On The Fly mode under cover Learn about BEAM File FormatBefore we can further understand the details of the cover implementation it is necessary to understand the format of the BEAM file after the elixir source code is compiled The compiled product of the Elixir ex file like the Erlang erl file is a binary chunked file which is divided into several sections to store information used when the program runs such as virtual machine operation instructions In Erlang Elixir each module will have a corresponding BEAM file The approximate structure of the BEAM file is as follows Let s take a look at the approximate content of the beam file through an Elixir mini demo project Step Clone the project yeshan explore ast app to the local git clone cd explore ast appStep Build this project in OTP release format note Elixir and Erlang need to be installed locally MIX ENV prod mix distillery releaseIt can be noted that each Elixir module is compiled into a BEAM file can be seen in the directory build prod rel explore ast app lib explore ast app ebin Step Next let s view the chunks in the Beam file through Erlang s standard library beam lib open the iex consoleiex S mixView all chunks of the compiled BEAM file Elixir ExploreAstApp beam iex S mixErlang OTP erts source bit smp ds async threads jit dtrace Interactive Elixir press Ctrl C to exit type h ENTER for help iex gt beam file path build prod rel explore ast app lib explore ast app ebin Elixir ExploreAstApp beam build prod rel explore ast app lib explore ast app ebin Elixir ExploreAstApp beam iex gt all chunks beam lib all chunks String to charlist beam file path ok ExploreAstApp AtU lt lt gt gt Code lt lt gt gt StrT ImpT lt lt gt gt ExpT lt lt gt gt LitT lt lt gt gt LocT lt lt gt gt Attr lt lt gt gt CInf lt lt gt gt Dbgi lt lt gt gt Docs lt lt gt gt ExCk lt lt gt gt Line lt lt gt gt As you can see the obtained chunks correspond to the previous diagram We can also obtain the Erlang AST abstract syntax tree corresponding to the module ExploreAstApp through the beam lib standard library iex gt result beam lib chunks String to charlist beam file path abstract code ok ExploreAstApp abstract code raw abstract v attribute file lib explore ast app ex attribute module ExploreAstApp attribute compile no auto import attribute export info hello attribute spec info type fun type product type union atom attributes atom compile atom functions atom macros atom md atom exports md atom module atom deprecated type any function info clause atom module atom ExploreAstApp clause atom functions cons tuple atom hello integer nil clause atom macros nil clause atom exports md bin bin element string default default clause match var Key atom attributes call remote atom erlang atom get module info atom ExploreAstApp var Key clause match var Key atom compile call remote atom erlang atom get module info atom ExploreAstApp var Key clause match var Key atom md call remote atom erlang atom get module info atom ExploreAstApp var Key clause atom deprecated nil function hello clause atom world It can be seen that AST is expressed in the form of Erlang Terms called Abstract Code which is easy to read The Abstract Code is very useful in the on the fly instrumentation process of cover The above AST structure is simple and easy to read and we can easily match it with the source code lib explore ast app ex before the module is compiled although the AST structure is the final Erlang AST and some extras information are added by the Erlang compiler but does not affect reading The second element in the tuple generally represents the number of source code lines You can learn more about Erlang s Abstract Format through the official documentation By observing the Erlang AST structure of several BEAM files you will be familiar with it It is worth noting that the Abstract Code was stored in the Abstract Chunk of the BEAM file before OTP If you want to learn more about BEAM files in detail you can check out the following two documents beam term format BEAM files Elixir source code compilation processAfter understanding BEAM File Format we also need to understand the compilation process of Elixir code which will help us better understand cover The process of compiling Elixir source code into BEAM file may not be as you imagined In the same way instead of directly from Elixir s AST it becomes executable BEAM Code after being processed by the compiler backend There is also a process in the middle as shown in the following figure The above process can be described as Step 、The Elixir source code will be parsed by a custom lexical analyzer elixir tokenizer and yacc to generate the initial version of Elixir AST which is expressed in the form of Elixir Terms if you are interested in Elixir s AST you can follow this Project arjan ast ninja Step 、In the Elixir AST stage some custom and built in Macros have not been expanded and these Macros are expanded into the final Elixir AST in the Expanded Elixir AST stage Step 、Final Elixir AST will be converted into Erlang standard AST form Erlang Abstract Format after being processed by Elixir Compiler Step 、Finally Elixir will use the Erlang Compiler to process the Erlang AST converting it into BEAM bytecode executable by the BEAM Virtual Machine VM For details on the compiler see elixir compiler erl and elixir erl erl source code For more details on the Erlang Compiler see theBeamBook CH Compiler Cover On The Fly Instrumentation ImplementationNow it s time for dinner Let s see how cover performs instrumentation and coverage collection To use cover to complete code coverage collection we must know three dragon slaying swords cover start Used to create the cover coverage collection process it will complete the creation of the relevant ets table to store the coverage data cover erl L amp cover erl L and we can also start the cover process of the remote Erlang node cover compile beam For instrumentation cover will read the content of the abstract code of the BEAM file namely Erlang AST The key code is in cover erl L and then transform and munge the Erlang AST From it will call bump call after each executable line will insert the following abstract code call A remote A atom A ets atom A update counter atom A COVER TABLE tuple A atom A BUMP REC NAME atom A Vars vars module atom A Vars vars function integer A Vars vars arity integer A Vars vars clause integer A Line integer A From the previous understanding of Erlang AST we know that this is equivalent to inserting the following line of code ets update counter COVER TABLE bump module Module function Function arity Arity clause Clause line Line Then for the mungeed Erlang AST Form cover uses the Erlang Compiler to obtain the Erlang Beam Code also known as object code i e bytecode VM execution instructions from the mungeed AST expression form cover erl L And then use the Erlang code server to replace the old object code with the new object code obtained load binary cover erl L into ERTS Erlang Run Time System cover completes the Erlang AST instrumentation process so that whenever the executable line is Executed the corresponding ets storage table will update the number of times the code line was called cover analyze Analyze the data stored in the ets table to obtain the number of times the executable line was executed called which can be used for statistical coverage data munge Used to make a series of potentially destructive or irreversible changes to data or files Elixir Application runtime coverage collection exampleThrough the above after understanding the implementation details of the Erlang Cover module Let us take a deployed and running Elixir Application we will use the previous yesan explore ast app as an example to perform large scale tests system amp integration tests of the Elixir application runtime of code line level coverage collection Here we will use a tool library ex integration coveralls for coverage analysis which is an Elixir Wrapper for the Erlang module cover to collection Elixir runtime system coverage Let s start Step 、Add ex integration coveralls dependency to mix exs file defp deps do ex integration coveralls gt endPull the dependencies and rebuild the project mix deps getMIX ENV prod mix distillery releaseStep 、Start the project build prod rel explore ast app bin explore ast app foregroundStep 、Connect to the remote console of the Elixir runtime application node build prod rel explore ast app bin explore ast app remote consoleStep 、Use ex integration coveralls ExIntegrationCoveralls execute to start cover and perform code coverage collection iex explore ast app gt compiled beam dir path Users yeshan oss github explore ast app build prod rel explore ast app lib explore ast app ebin Users yeshan oss github explore ast app build prod rel explore ast app lib explore ast app ebin iex explore ast app gt ExIntegrationCoveralls execute compiled beam dir path ok ExploreAstApp Router ok ExploreAstApp Plug VerifyRequest IncompleteRequestError ok ExploreAstApp Plug VerifyRequest ok ExploreAstApp Application ok ExploreAstApp iex explore ast app gt compile time source lib abs path Users yeshan oss github explore ast app Users yeshan oss github explore ast app iex explore ast app gt source code abs path Users yeshan oss github explore ast app Users yeshan oss github explore ast app iex explore ast app gt ExIntegrationCoveralls get total coverage compile time source lib abs path source code abs path As you can see the initial coverage is because no code has been called yet Step 、Let s execute the following cURL Let code be called curl location request GET http localhost hello hello Check out the code coverage data again in iex console iex explore ast app gt ExIntegrationCoveralls get total coverage compile time source lib abs path source code abs path As you can see the cURL test case coverage for this project is We can also use the following methods to view more detailed code coverage such as viewing the code coverage of lib explore ast app router ex nil means the line is not an executable line iex explore ast app gt result ExIntegrationCoveralls get coverage report compile time source lib abs path source code abs path iex explore ast app gt Enum at Map get result files ExIntegrationCoveralls Stats Source coverage filename lib explore ast app router ex hits misses sloc source ExIntegrationCoveralls Stats Line coverage source defmodule ExploreAstApp Router do ExIntegrationCoveralls Stats Line coverage source use Plug Router ExIntegrationCoveralls Stats Line coverage nil source use Plug ErrorHandler ExIntegrationCoveralls Stats Line coverage nil source ExIntegrationCoveralls Stats Line coverage nil source import Plug Conn ExIntegrationCoveralls Stats Line coverage nil source ExIntegrationCoveralls Stats Line coverage nil source alias ExploreAstApp Plug VerifyRequest ExIntegrationCoveralls Stats Line coverage nil source ExIntegrationCoveralls Stats Line coverage nil source plug Plug Parsers parsers urlencoded multipart ExIntegrationCoveralls Stats Line coverage nil source plug VerifyRequest fields content mimetype paths upload ExIntegrationCoveralls Stats Line coverage nil source plug match ExIntegrationCoveralls Stats Line coverage nil source plug Plug Parsers parsers json pass application json json decoder Jason ExIntegrationCoveralls Stats Line coverage nil source plug dispatch ExIntegrationCoveralls Stats Line coverage nil source ExIntegrationCoveralls Stats Line coverage source get welcome do ExIntegrationCoveralls Stats Line coverage source send resp conn Welcome ExIntegrationCoveralls Stats Line coverage nil source end ExIntegrationCoveralls Stats Line coverage nil source ExIntegrationCoveralls Stats Line coverage source get upload do ExIntegrationCoveralls Stats Line coverage source send resp conn Uploaded ExIntegrationCoveralls Stats Line coverage nil source end ExIntegrationCoveralls Stats Line coverage nil source ExIntegrationCoveralls Stats Line coverage source get hello do ExIntegrationCoveralls Stats Line coverage nil source query parameter is user like this ExIntegrationCoveralls Stats Line coverage nil source http localhost hello name John ExIntegrationCoveralls Stats Line coverage nil source which will create name gt John ExIntegrationCoveralls Stats Line coverage source send resp conn hello Map get conn query params name ExIntegrationCoveralls Stats Line coverage nil source end ExIntegrationCoveralls Stats Line coverage nil source ExIntegrationCoveralls Stats Line coverage source get hello name do ExIntegrationCoveralls Stats Line coverage source send resp conn hello name ExIntegrationCoveralls Stats Line coverage nil source end ExIntegrationCoveralls Stats Line coverage nil source ExIntegrationCoveralls Stats Line coverage source post hello do ExIntegrationCoveralls Stats Line coverage nil source json body of POST request name John is parsed to name gt John ExIntegrationCoveralls Stats Line coverage nil source so it can be accesable with e g Map get conn body params name or with pattern matching ExIntegrationCoveralls Stats Line coverage source name ExIntegrationCoveralls Stats Line coverage source case conn body params do ExIntegrationCoveralls Stats Line coverage source name gt a name gt a name ExIntegrationCoveralls Stats Line coverage nil source gt ExIntegrationCoveralls Stats Line coverage nil source end ExIntegrationCoveralls Stats Line coverage nil source ExIntegrationCoveralls Stats Line coverage nil ExIntegrationCoveralls Stats Line Based on the post cov stats to ud ci interface it is possible to further interface with internal or external Codecov like coverage systems Based on this we can realize the collection of code coverage with large scale integration amp system testing capabilities without stopping the Elixir Application Continuous runtime coverage collection solution for large scale Elixir Erlang Microservice clustersWith the continuous expansion of the Elixir Erlang microservice system the coverage collection method shown in the previous section needs further evolution Referring to the design of Prometheus Pull Base the overall design combination of Pull amp Push mode is as follows We expand based on ex integration coveralls After the Elixir Application is started a http worker is started up to expose the code coverage data in real time which is convenient for communication with heterogeneous systems The Coverage Push Gateway is responsible for regularly pulling the coverage data Gateway can be a OTP Application which allows ex integration coveralls to directly start up the custom GenServer Worker for interactive integration test system in the distributed OTP system after the integration system test system informs the end of the test the Gateway pushes the coverage data to the Cover Center for code coverage rate display End long way to go ReferencesCode Coverage at GoogleErlang coverA brief introduction to BEAMA peak into the Erlang compiler and BEAM bytecodeGetting each stage of Elixir s compilation all the way to the BEAM bytecodeexcoverallsBeamFile A peek into the BEAM file beam files	2022-08-13 10:02:48
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北海道	北海道新聞	米俳優ヘッシュさん脳死に　交通事故、法的な死亡状態	https://www.hokkaido-np.co.jp/article/717460/	意識不明	2022-08-13 19:39:00
北海道	北海道新聞	新体操女子は喜田が優勝　高校総体、男子は本田Ｖ	https://www.hokkaido-np.co.jp/article/717459/	高松市総合体育館	2022-08-13 19:39:00
北海道	北海道新聞	水上バイクで２児軽傷　新潟、父運転中に転落	https://www.hokkaido-np.co.jp/article/717458/	新潟県上越市	2022-08-13 19:35:00
北海道	北海道新聞	ろうそくまつり、３年ぶり　高野山、５万本の明かり	https://www.hokkaido-np.co.jp/article/717457/	和歌山県高野町	2022-08-13 19:35:00
北海道	北海道新聞	日本ハム松本剛、１４日の２軍戦で復帰	https://www.hokkaido-np.co.jp/article/717456/	日本ハム	2022-08-13 19:32:00
北海道	北海道新聞	コンサドーレ、決めて欠き無得点　神戸に０―２（１３日）	https://www.hokkaido-np.co.jp/article/717455/	連勝	2022-08-13 19:31:00
北海道	北海道新聞	胆振管内で５０９人感染　５日連続最多更新　新型コロナ	https://www.hokkaido-np.co.jp/article/717454/	新型コロナウイルス	2022-08-13 19:29:00
北海道	北海道新聞	終戦の日、閣僚の靖国参拝焦点に　Ａ級戦犯合祀	https://www.hokkaido-np.co.jp/article/717447/	改造内閣	2022-08-13 19:26:00
北海道	北海道新聞	バレー真鍋監督「８強が目標」　女子代表、世界選手権へ紅白戦	https://www.hokkaido-np.co.jp/article/717446/	世界選手権	2022-08-13 19:26:00
北海道	北海道新聞	インドネシア、国防相が出馬表明　２４年の大統領選	https://www.hokkaido-np.co.jp/article/717445/	出馬表明	2022-08-13 19:26:00
北海道	北海道新聞	北九州旦過市場、一部通行止めに　１カ月、アーケード損傷で	https://www.hokkaido-np.co.jp/article/717440/	北九州市	2022-08-13 19:15:00
北海道	北海道新聞	小樽の潮風受け、ジャズ熱演　３年ぶりイベント、１４日まで	https://www.hokkaido-np.co.jp/article/717439/	jazzin	2022-08-13 19:15:00
北海道	北海道新聞	練習帆船に家族連れ歓声　初入港の小樽で見学会	https://www.hokkaido-np.co.jp/article/717438/	家族連れ	2022-08-13 19:14:00