The Future of Cloud Native Applications
with Open Application Model (OAM) and Daprwith Open Application Model (OAM) and Dapr @markrussinovich Application models Describes the topology of your application and its components The way developers write their application to interact data stores Programming models Distributed Application Runtime (Dapr) Open Application Model (OAM) https://oam.dev State of Cloud Native Application Platforms Kubernetes for applications Kubernetes Kubernetes focuses on container infrastructure, not on applications Application developers need to be experts in Kubernetes APIs Production use of Kubernetes requires mastery of the broader0 码力 | 51 页 | 2.00 MB | 1 年前3
Kubernetes & YARN: a hybrid container cloud
���� Kubernetes Container centric – bottom up. Container is the primitive. Other primitives such as replicaset, deployment are built around containers. YARN Application centric: top down. Scheduling sequence: sequence: Queue -> user -> application -> container request ������������� kubernetes Based on api-server watch mechanism Everything stored in etcd YARN Based on RPC Only application-level metadata persisted0 码力 | 42 页 | 25.48 MB | 1 年前3
Advancing the Tactical Edge with K3s and SUSE RGSquickly recognized Ku- bernetes’ ability to drive a more agile, cloud native and microservices-centric strategy, in solving the most complex of infrastruc- ture management challenges. When it came to Booz Allen Hamilton KubeEdge and K3s seemed the most natural starting point, given the device-centric use case. After assessing other leading Kuber- netes distributions, it was clear that many stayed0 码力 | 8 页 | 888.26 KB | 1 年前3
Graph streaming algorithms - CS 591 K1: Data Stream Processing and Analytics Spring 2020communicate through messages • The computation proceeds in synchronous iteration steps The vertex-centric model: think like a vertex 3, 4 1 2 1, 4 5 3 . . . 1 5 4 3 2 ??? Vasiliki Kalavri | Boston0 码力 | 72 页 | 7.77 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211 2.3.6 Function application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220 2.3.7 Reindexing functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1414 3.3.6 Function application, GroupBy & window . . . . . . . . . . . . . . . . . . . . . . . . . . . 1415 3.3.7 Computations functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1919 3.4.6 Function application, GroupBy & window . . . . . . . . . . . . . . . . . . . . . . . . . . . 1920 3.4.7 Computations0 码力 | 3603 页 | 14.65 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.4. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211 2.3.6 Function application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220 2.3.7 Reindexing functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1414 3.3.6 Function application, GroupBy & window . . . . . . . . . . . . . . . . . . . . . . . . . . . 1415 3.3.7 Computations functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1919 3.4.6 Function application, GroupBy & window . . . . . . . . . . . . . . . . . . . . . . . . . . . 1920 3.4.7 Computations0 码力 | 3605 页 | 14.68 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204 2.3.6 Function application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212 2.3.7 Reindexing functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1361 3.3.6 Function application, GroupBy & window . . . . . . . . . . . . . . . . . . . . . . . . . . . 1362 3.3.7 Computations functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1853 3.4.6 Function application, GroupBy & window . . . . . . . . . . . . . . . . . . . . . . . . . . . 1854 3.4.7 Computations0 码力 | 3509 页 | 14.01 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.4.2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211 2.3.6 Function application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220 2.3.7 Reindexing functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1449 3.3.6 Function application, GroupBy & window . . . . . . . . . . . . . . . . . . . . . . . . . . . 1450 3.3.7 Computations functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1965 3.4.6 Function application, GroupBy & window . . . . . . . . . . . . . . . . . . . . . . . . . . . 1966 3.4.7 Computations0 码力 | 3739 页 | 15.24 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.4.4. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211 2.3.6 Function application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220 2.3.7 Reindexing functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1449 3.3.6 Function application, GroupBy & window . . . . . . . . . . . . . . . . . . . . . . . . . . . 1450 3.3.7 Computations functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1966 3.4.6 Function application, GroupBy & window . . . . . . . . . . . . . . . . . . . . . . . . . . . 1967 3.4.7 Computations0 码力 | 3743 页 | 15.26 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.5.0rc0functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1471 3.3.6 Function application, GroupBy & window . . . . . . . . . . . . . . . . . . . . . . . . . . . 1472 3.3.7 Computations functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2004 3.4.6 Function application, GroupBy & window . . . . . . . . . . . . . . . . . . . . . . . . . . . 2005 3.4.7 Computations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2722 3.10.2 Function application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2727 3.10.3 Computations0 码力 | 3943 页 | 15.73 MB | 1 年前3
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