native registry Henry Zhang, Chief Architect, VMware R&D China Steven Zou, Staff Engineer, VMware R&D China Nov. 2018 2 Confidential � ©2018 VMware, Inc. TEST FVT STAG ING PROD DEV SVT Verify Distributions Multiple teams Multiple roles Availability Security Multiple Platforms goharbor.io � VMware �� ������, ������ �������� ���:VIC�PKS GitHub Repo: https://github.com/goharbor /harbor/ Apache history �������� Harbor���� Harbor���� 5 Harbor���� 6 x x Agenda 7 Confidential � ©2018 VMware, Inc. • Isolation • Access Control • Vulnerability • Content Trust • Replication • Control

native registry Henry Zhang, Chief Architect, VMware R&D China Steven Zou, Staff Engineer, VMware R&D China Nov. 2018 2 Confidential � ©2018 VMware, Inc. TEST FVT STAG ING PROD DEV SVT Verify Distributions Multiple teams Multiple roles Availability Security Multiple Platforms goharbor.io � VMware �� ������, ������ �������� ���:VIC�PKS GitHub Repo: https://github.com/goharbor /harbor/ Apache history �������� Harbor���� Harbor���� 5 Harbor���� 6 x x Agenda 7 Confidential � ©2018 VMware, Inc. • Isolation • Access Control • Vulnerability • Content Trust • Replication • Control

enabled ● Reference Agenda #IstioCon Knative and Istio Istio is the default networking layer solution of Knative. It is leveraged for Net-istio is A Knative ingress controller for Istio. Knative Knative which can generate specific Knative Service provisioning workload and provides aggregated data of Knative Service ready duration. o Knative Performance Testing Framework 2 Design #IstioCon o can be enabled by setting the PILOT_ENABLE_FLOW_CONTROL environment variable in Istiod. o Final solution is envoy delta-XDS push in future Istio release. Istio scalability optimization during Knative

accidentally run migrations on a django CMS version 3 database. This can lead to corruption since the data structures for the CMSPlugin models are different. Warning Do not add CMS_CONFIRM_VERSION4 = True django CMS version 3 project unless you know what you are doing. Just running migrations can lead to data loss. Warning To migrate a django CMS version 3 project to version 4 you can have a look at django CMS itself. The two applications are completely independent. They cannot make use of each other’s data or functionality. Let’s create the new Polls/CMS Integration application where we will bring them

applications Data Storage • Easy to upgrade and downgrade • User data stored in home directory • Easy to migrate and replicate user data and configuration to another computer • User data saved in multiple are proprietary software which incur a license fee. Figure 1.6. Desktop Customisation Data Storage: User data is often located in multiple locations in Microsoft Windows, which can make backing up and place - the home directory. This makes the migration of data from an old computer to a new one easy, as well as keeping user specific backup data separate. 12 Chapter 1. Introducing Ubuntu Ubuntu Desktop

Project security Editors overview Data Editor overview Data View and Format Data Filters Data viewing and editing Data refresh Navigation Managing Panels Managing Data formats Managing Charts Projects in DBeaver Data Editor tools Viewing and editing data Data operations DBeaver Ultimate User Guide 24.2.ea. Page 8 of 1171. Working with Spatial Geographic Information System (GIS) data GIS examples examples Working with XML and JSON Virtual column expressions Mock Data generation SQL Editor overview SQL Execution Query execution plan Script management SQL Assist and Auto Complete SQL templates

Editors overview Data Editor overview Data View and Format Data Filters Data viewing and editing Data refresh Navigation Managing Panels Projects workspace Editors in DBeaver Data Editor tools Viewing Viewing and editing data Data operations DBeaver User Guide 24.2.ea. Page 8 of 1171. Managing Data formats Managing Charts Working with Spatial Geographic Information System (GIS) data GIS examples Working Working with XML and JSON Virtual column expressions Mock Data generation SQL Editor overview SQL Execution Query execution plan Script management SQL Assist and Auto Complete SQL templates Visual

from ○ API services, Search Engine, etc. ○ Databases, Key-Value stores - Oracle, MySQL, etc. ○ Big data systems & Pipelines - Hadoop, Apache Spark, Apache Flink, etc. ○ Machine Learning Platforms - Tensorflow GPUs #IstioCon Application Deployment: Cloud Layout ● Region: A metro region ● DC: One or more Data Centers in each Region ● AZ: One or more Availability Zones in each DC ○ Independent power, cooling peering with the Internet closer to the customer ○ PoPs are mini AZs Region R1 AZ 1 AZ 2 AZ n Data Center DC1 Region Rn #IstioCon Application Deployment: Cloud Layout ● Multiple K8s Clusters

Guide 24.2.ea. Page 7 of 1010. Data Editor overview Data View and Format Data Filters Data viewing and editing Data refresh Navigation Managing Panels Managing Data formats Managing Charts Working Information System (GIS) data GIS examples Working with XML and JSON Virtual column expressions SQL Editor overview Data Editor tools Viewing and editing data Data operations Advanced data types SQL Editor Pending Transactions Auto and manual commit modes Query Manager Data transfer Data import and replace Search overview Data Search Database full text Search Database metadata Search File Search

underused feature of the language ● To galvanize you to consider struct tags as a potential solution to problems you may encounter What we’ve built Evergreen - a continuous integration tool built encoding/json package to determine field names when marshaling and unmarshaling structs Other data formats Used for XML, BSON, SQL ORMS... type Candidate struct { Id string `json:"id,omitempty"` that changes slightly depending on specific fields" In other words If it's easier to decode some data into a map first, then pull it into a struct based on one of its values. Command-line Configuration