bellsoft-liberica | Cloud Native Buildpack that provides the Bellsoft Liberica

 by   paketo-buildpacks Go Version: v10.2.3 License: Apache-2.0

kandi X-RAY | bellsoft-liberica Summary

kandi X-RAY | bellsoft-liberica Summary

bellsoft-liberica is a Go library. bellsoft-liberica has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

The Paketo BellSoft Liberica Buildpack is a Cloud Native Buildpack that provides the BellSoft Liberica implementations of JREs and JDKs. This buildpack is designed to work in collaboration with other buildpacks which request contributions of JREs and JDKs.
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            kandi-support Support

              bellsoft-liberica has a low active ecosystem.
              It has 48 star(s) with 19 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 35 have been closed. On average issues are closed in 21 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of bellsoft-liberica is v10.2.3

            kandi-Quality Quality

              bellsoft-liberica has 0 bugs and 0 code smells.

            kandi-Security Security

              bellsoft-liberica has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              bellsoft-liberica code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              bellsoft-liberica is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              bellsoft-liberica releases are available to install and integrate.
              It has 706 lines of code, 7 functions and 6 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed bellsoft-liberica and discovered the below as its top functions. This is intended to give you an instant insight into bellsoft-liberica implemented functionality, and help decide if they suit your requirements.
            • Build builds a new build
            • main is the main entry point for libp2 .
            Get all kandi verified functions for this library.

            bellsoft-liberica Key Features

            No Key Features are available at this moment for bellsoft-liberica.

            bellsoft-liberica Examples and Code Snippets

            No Code Snippets are available at this moment for bellsoft-liberica.

            Community Discussions

            QUESTION

            How to manage memory using Spring Boot Maven Plugin with Kubernetes
            Asked 2021-Nov-22 at 08:22

            I'm using spring boot 2.5.6 and I'm generating the docker image with the spring boot maven plugin. I'm deploying the application using AWS EKS with nodes managed by fargate.

            The plugin configuration is the following

            ...

            ANSWER

            Answered 2021-Nov-22 at 08:22

            Posting this out of comments for better visibility.

            An important thing to mention is when free command is run inside a pod's container, it shows all available memory on the node where this pod is scheduled and running.

            At this point it's very important to have memory resources and limits for java applications since JVM memory allocation can be set incorrectly if it happens by the application.

            There are two main options for resource allocation (in this particular case is memory):

            • requests (spec.containers[].resources.requests.memory) - kubernetes scheduler has to find a node which has requested amount of memory, not less than specified.

              It's very important to set the requests reasonably since it's used for scheduling and there are chances that kubernetes scheduler won't be able to find a sufficient node with enough free memory to schedule the pod - good example of incorrect requests

            • limits (spec.containers[].resources.limits.memory) - kubelet insures that pod will not consume more than specified in limits, since containers in pod are allowed to consume more than requested.

              It's also important to have limits set up for predictable resource consumption since containers can exceed requested memory and consume all node's memory until OOM killer is involved. Possible cases when limits are not set

            Source https://stackoverflow.com/questions/69997708

            QUESTION

            WebFlux + MongoDB + docker compose = error
            Asked 2021-Aug-12 at 11:47

            I've got a problem with this integration. I use MongoDB based on docker without problems, but when I create a Docker Compose, the Spring Boot WebFlux stop to find the Mongo. I'm trying to find the problem, but I don't know how to solve it.

            The service log shows me this problem:

            ...

            ANSWER

            Answered 2021-Aug-05 at 15:30

            So what exactly is the problem here? Without knowing more about the application, I can't really tell why it's trying localhost first, but it seems like it's able to connect to mongo running on the person-db container after that based on these logs:

            Source https://stackoverflow.com/questions/68668628

            QUESTION

            How to solve Memory issues with Paketo buildpack used to build a spring-boot app?
            Asked 2021-May-20 at 13:20

            I am building Docker image with the spring-boot-maven-plugin that is deployed to AWS BeanStalk. I use the plugin through the 2.4.3 spring boot starter dependency) However, when the container is started, I get the error below. I am a bit new in the buildpack stuff, but tried to solve it by playing with the Buildpack env variables as described on the website. But it had absolutely no effect on the values shown in the error log below. I found this github issue but not sure if it's relevant and how to use it.

            I am using AWS Micro instance that has 1G total RAM, it performs a rolling update, so at the time of starting the new image, the other is also running till the new one started with success, so to start the container could as well be that only 300MB is available, however, during normal run it has more available.

            Why do I need this memory calculation? Can't I just disable it? When I build a Docker image of the app.jar and deploy it to aws beanstalk, it works well without any memory settings:

            docker build . --build-arg JAR_FILE=./target/app.jar -t $APPLICATION_NAME

            But I would love to use the image build through the spring-boot-maven plugin. Please some advice on how to solve this?

            ...

            ANSWER

            Answered 2021-May-19 at 01:58

            OK, so here's what this is telling us:

            Calculating JVM memory based on 274300K available memory

            The memory calculator is detecting a maximum amount of memory available in the container as 274300KB, or about 274M.

            fixed memory regions require 662096K which is greater than 274300K available for allocation: -XX:MaxDirectMemorySize=10M, -XX:MaxMetaspaceSize=150096K, -XX:ReservedCodeCacheSize=240M, -Xss1M * 250 threads

            This message is saying that the memory calculator needs at least 662096KB or 662M in its present configuration.

            It's also breaking down why it needs/wants that much:

            • 10M for direct memory
            • 150096K for metaspace
            • 240M for reserved code cache
            • 250M for threads (thread stack specifically)

            That's not counting the heap which will require more (you seem to want at least 1G for the heap).

            This leaves two possibilities:

            1. The container is not provisioned large enough. You need to give it more memory.
            2. The memory calculator is not correctly detecting the memory limit.

            If you suspect #2, look at the following. The memory calculator selects it's max memory limit (i.e. the 274M in the example above) by looking in these places in this order.

            1. Check the configured container memory limit by looking at /sys/fs/cgroup/memory/memory.limit_in_bytes inside the container.
            2. Check the system's max available memory by looking at /proc/meminfo and the MemAvailable metric, again, from inside the container.
            3. If all else fails, it'll end up with a 1G fallback.

            If it's truly not working as described above, please open a bug and provide as much detail as you can.

            Alternatively, you may tune the memory calculator. You can instruct it to give less memory to specific regions such that you reduce the total memory required to be less than the max available memory.

            You can do that by setting the JVM memory flags in the JAVA_TOOL_OPTIONS env variable (you have BPE_JAVA_TOOL_OPTIONS which isn't right). See https://paketo.io/docs/buildpacks/language-family-buildpacks/java/#runtime-jvm-configuration.

            For example, if you want to override the heap size then set -Xmx in JAVA_TOOL_OPTIONS to something custom. The memory calculator will see what you've set and adjust the remaining memory settings accordingly. Override as many as necessary.

            To get things down to fit within 274M of RAM, you'd have to go really small. Something like -Xss256K -XX:ReservedCodeCacheSize=64M -XX:MaxMetaspaceSize=64 -Xmx64M. I didn't test to confirm, but this shows the idea of what you need to do. Reduce the memory settings such that the sum total all fits within your max memory limit for the container.

            This also does not take into account if your application will actually be able to run within such small limits. If you go too small you may at some point see OutOfMemoryErrors or StackOverflowErrors, and your app will crash. You can also negatively impact performance by reducing code cache size too much since this is where the JIT stores byte code that it's optimized to native code. You could even cause GC issues, or degraded performance due to too much GC if the heap isn't sized right. In short, be very careful if you're going to do this.

            Source https://stackoverflow.com/questions/67593945

            QUESTION

            spring boot maven plugin - jvm arguments - direct memory size setting
            Asked 2021-Jan-13 at 22:15

            I am using spring-boot-maven-plugin to build a docker image from my app with this command:

            ...

            ANSWER

            Answered 2021-Jan-13 at 21:46

            It depends on your goal here. It sounds like you want to change the max direct memory in your container when your app runs so you should be just doing what you indicated works here (and what's listed in the docs).

            docker run -e JAVA_TOOL_OPTIONS=-XX:MaxDirectMemorySize=64M docker.io/example/app-name:0.0.1

            The doc link you're referencing is talking about configuring options at runtime which is what you are doing with the env variables.

            Source https://stackoverflow.com/questions/65709080

            QUESTION

            Cloud Native Buildpacks/Paketo with Java/Spring Boot: How to configure different JDK download uri (e.g. no access to github.com)
            Asked 2020-Dec-18 at 08:47

            Having a Spring Boot app I tried to build it using the spring-boot-maven-plugin goal mvn spring-boot:build-image. But the build fails downloading the bellsoft-jre11.0.9.1+1-linux-amd64.tar.gz from github.com, since I don't have access to it from my build pipeline:

            ...

            ANSWER

            Answered 2020-Dec-17 at 15:29

            According to the docs:

            Paketo Buildpacks may download dependencies from the internet. For example, the Java Buildpack will download the BellSoft Liberica JRE from the Liberica github releases by default. If a dependency URI is inaccessible from the build environment, a binding can be used to map a new URI to a given dependency.

            For now configuring bindings isn't possible using the spring-boot-maven-plugin (or the Gradle plugin). Therefore we need to switch over to pack CLI.

            === Use pack CLI with bindings to configure a different JDK download uri ===

            The pack docs tell us about the general layout of a binding directory (/platform/bindings is later created inside the pack build container):

            Source https://stackoverflow.com/questions/65212231

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install bellsoft-liberica

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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