release platform and a technology incubator, which server to advance each other and drive the continuous version evolution of new versions. openEuler Version Management openEuler 20.03 LTS openEuler supports multiple processor architectures including x86, ARM, and RISC-V. It is an OS that drives continuous innovation in diversified computing architectures. openEuler supports the x86 architecture represented through software optimization, and unleash the full power of diversified computing architectures. Continuous Contribution to the Linux Kernel Intel Linaro Red Hat AMD Google Huawei Contribution to Linux

multiple devices, openEuler hopes to enable a single application development for all scenarios. Continuous Contribution to the Linux Kernel As a major contributor to the Linux kernel, the kernel development the positions of structure members so that frequently accessed structure members are placed in continuous memory space, increasing the cache hit ratio and improving program performance. • fp-model precision system architecture, kernel, virtualization, cloud native, and security technologies to ensure continuous competitiveness. 6. Guides the community to establish original open-source projects and continuously

m https://gitee.com/src-openEuler/libxcrypt https://gitee.com/openeuler/kernel openEuler SM planning overview Certificate authority Applications Cryptography application Cryptography service OS Innovation Projects Manual or semi-automatic development can slow down the development process. Continuous iterative development requires a long period of time. Application security behavior is not fully detect and locate sub-health problems promptly due to insufficient capabilities, including online continuous monitoring, refined observation from the application perspective, and AI automatic analysis based

scales out / in to adapt to load changes and during rolling updates that are deployed as part of continuous delivery. This shift toward highly dynamic microservices presents both a challenge and an opportunity sure you have Helm 3 installed [https://helm.sh/docs/using_helm/#install-helm]. If you have (or planning to have) Helm 2 charts (and Tiller) in the same cluster, there should be no issue as both version sure you have Helm 3 installed [https://helm.sh/docs/using_helm/#install-helm]. If you have (or planning to have) Helm 2 charts (and Tiller) in the same cluster, there should be no issue as both version

scales out / in to adapt to load changes and during rolling updates that are deployed as part of continuous delivery. This shift toward highly dynamic microservices presents both a challenge and an opportunity First, make sure you have Helm 3 installed [https://helm.sh/docs/intro/install/]. If you have (or planning to have) Helm 2 charts (and Tiller) in the same cluster, there should be no issue as both version First, make sure you have Helm 3 installed [https://helm.sh/docs/intro/install/]. If you have (or planning to have) Helm 2 charts (and Tiller) in the same cluster, there should be no issue as both version

scales out / in to adapt to load changes and during rolling updates that are deployed as part of continuous delivery. This shift toward highly dynamic microservices presents both a challenge and an opportunity re-created in order to establish access across clusters. Shared Certificate Authority If you are planning to run Hubble Relay across clusters, it is best to share a certificate authority (CA) between the Cilium community, it is recommended that you add runtime tests that will run as part of Cilium’s continuous integration testing. Usually these runtime test can be based on the same container images and test

scales out / in to adapt to load changes and during rolling updates that are deployed as part of continuous delivery. This shift toward highly dynamic microservices presents both a challenge and an opportunity re-created in order to establish access across clusters. Shared Certificate Authority If you are planning to run Hubble Relay across clusters, it is best to share a certificate authority (CA) between the Cilium community, it is recommended that you add runtime tests that will run as part of Cilium’s continuous integration testing. Usually these runtime test can be based on the same container images and test

running IPC/DEBIAN10-81A-64 will meet all latency constraints in your specific application. A careful planning, measuring and testing of the whole application scenario is crucial. The page https://rt.wiki

Debian 3.0. Some of the differences that make it impossible to use those estimation models are: • Continuous release process (frequent releases). The COCOMO model is based around the concept of “delivered deliver releases so frequently that it could be consid- ered as a continuous release process. This process implies the almost continuous stabilization of the code, at the same time that it evolves. Free

Flexibility - Low overhead Why BPF? - Flexibility - Low overhead - Continuous profiling Why BPF? - Flexibility - Low overhead - Continuous profiling - No modifications of the tracee rbperf rbperf - Profile