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

(Consul, Kuma…) #IstioCon Emerging Use Cases #IstioCon Legacy Scenarios ● Stateful applications ○ Data store ● Legacy software ○ Financial services ○ Enterprise/Workshop applications ○ Hard to lift Mesh Expansion ● Prerequisites ○ IP connectivity to the endpoints in the mesh ○ Istio control plane services (Pilot, Mixer, CA) accessible from the VMs ○ (optional) Kubernetes DNS server accessible control plane through a Gateway ○ WorkloadEntry created ■ VM sidecar is made aware of all services in the cluster ○ DNS name resolved ■ gets routed through the gateway to the service ● The data plane

Workload Cluster Edge Operations Workload Data Exfiltration Man-In-The-Middle Denial of Service Privilege Escalation Application Compromise Control Plane Service mesh security architecture Cluster Workload Edge Operations Ingress Policies Egress Policies WAF / IDS Firewall User AuthN/Z Data Loss Prevention Certificate Authority K8s Network Policy K8s RBAC Audit Logging Image Control Workload Identity K8s RBAC K8s CNI AuthZ Policy Peer AuthN Policy KMS Control Plane Hardening Istio Security Releases Complete Security Coverage Consistency Depth Visibility

Is 5G and Why Does It Matter? 5G wireless technology is meant to deliver higher multi-Gbps peak data speeds, ultra low latency, more reliability, massive network capacity, increased availability, Architecture Options 9 ©2021 Aspen Mesh. All rights reserved. Namespace Level Tenancy Control Plane AMF Frontend Namespace AMF Namespace SMF SQL DB AMF App B AMF App A SMF Frontend UDM Egress Gateway Redis DB SMF App X Control Plane UDM Identity 11 ©2021 Aspen Mesh. All rights reserved. ● CNI to avoid escalated pod privileges

com/tao12345666333 #IstioCon Agenda ● What is Apache APISIX ● Why use Apache APISIX as the data plane for Istio ● How to implement it ● The future #IstioCon What is Apache APISIX #IstioCon Apache https://github.com/apache/apisix-ingress-controller/ #IstioCon Why use Apache APISIX as the data plane for Istio #IstioCon Easy to use The concepts in APISIX are few and simple. You can quickly

management ○ Istioctl install & Operator support ● Architectural simplification ○ Monolith control plane ○ Mixerless telemetry ● New extension capabilities ○ WebAssembly (Wasm) support ● Secure by default

Cassandra 1 Create a Keyspace (database) 1 Create a Column Family 2 Insert, Update, Delete, Read Data 2 Getting Started with Cassandra and DataStax Community Edition 2 Installing a Single-Node Instance Application 6 About the Portfolio Demo Use Case 6 Running the Demo Web Application 6 Exploring the Sample Data Model 7 Looking at the Schema Definitions in Cassandra-CLI 8 DataStax Community Release Notes 8 Membership and Seed Nodes 9 About Failure Detection and Recovery 9 About Data Partitioning in Cassandra 10 About Partitioning in Multi-Data Center Clusters 10 Understanding the Partitioner Types 12 About the

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

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