Kubernetesships binaries for each component as well as a standard set of clientapplications to bootstrap or interact with a cluster. Components like theAPI server are capable of running within container images inside of acluster. Those components are also shipped in container images as part of theofficial release process. All binaries as well as container images are availablefor multiple operating systems as well as hardware architectures.
You can use kubectl to deploy applications, inspect and manage cluster resources,and view logs. For more information including a complete list of kubectl operations, see thekubectl reference documentation.
All container images are available for multiple architectures, whereas thecontainer runtime should choose the correct one based on the underlyingplatform. It is also possible to pull a dedicated architecture by suffixing thecontainer image name, for
exampleregistry.k8s.io/kube-apiserver-arm64:v1.30.0.
You can find the links to download v1.30 Kubernetes components (along with their checksums) below.To access downloads for older supported versions, visit the respective documentationlink for older versions or use
downloadkubernetes.com.
Hi,
I have extensively searched for an answer to this but cannot find a single reference to it so, LibreOffice for windows arm64. Does it exist, is it on a roadmap? Are there any obvious impediments to me compiling it myself?
If I took it on I would definitely be looking to cross compile X86 to Arm64. Even for basic web app development VS chugs on my surface pro x, it would be an exercise in frustration to emulate all those tools in 32bit.
I partially run all applications on M1. For ABAP coding, I've installed the SAP Gui for Java on macOs Big Sur. Also, I have Parallels with a Windows Arm64 to use screen painter, sap script and adobe forms. However, I didn't find any solution to the Cloud Connector. I need it to code SAPUI5 with the WebIDE, but there isn't a Cloud Connector Arm64 for Windows or Mac.
I haven't seen much arm64 software development in SAP yet. I'm pretty sure this will take some time to pick up at SAP since there aren't that many enterprise grade solutions using this RISC technology as of today. Just think about how many developers SAP has and how many machines would need to be replaced in order to fully support this architecture. It is not just a huge financial investment, but also a human capital investment - as most of the acquired knowledge would have to change.
SCC depends on a library which is currently built just for Linux and Windows systems based on x86 and PPC platforms. Nothing prevents it from being ported and compiled against an ARM OS, but I don't see it moving into that direction any time soon. With that said, I wouldn't expect SCC to be available on that platform on short term basis.
There is an option that might have been overseen by you. Docker has recently released its desktop version for Apple Silicon which is fully supported by M1 processors. Developers usually don't require a high performant software for that matter, so a docker image of SCC would suffice in most cases.
And I would risk saying dockerzing in M1 would be a must during this transition phase where most of the developer community has focused on x86 architecture and are not thinking on moving into ARM so soon.
What you need to do is to download and extract JVM for macOS x86_64 sapjvm-8.1.083-macosx-x64.zip, do the same with Cloud connector version for macOS x86_64 sapcc-2.14.0.1-macosx-x64.tar.gz. Set java_home path to extracted JVM and run go.sh from cloud connector folder.
The system may give you an error saying that the developer could not be identified and program cannot be executed. In this case you need to search for the name of the file which causes errors find it in the finder and open it from there. This will add the file to list of exceptions, and then you should be able to successfully execute go.sh.
To create docker image I've followed instructions from GitHub - nzamani/sap-cloud-connector-docker: SAP Cloud Connector in Docker, with one change - I used different os version - CentOS Linux release 7.0.1406.
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