Gela Malek Pour gmalekpour@esri.com Visualize Time Enabled Data using ArcGIS Qt (C++) and ToolkitAbout Esri • We build mapping technology that our customers use to solve the world’s most complex challenges offer solutions to apply location-based analytics to business practices - Visualize and analyze data more effectively - Collaborate and share maps, apps and reports easily • Headquartered in Southern worldPurpose of this talk • Showcase a quick way to create a desktop app to visualize time enabled data • Setup the development environment using Esri templates • Use the ArcGIS toolkit to use already

Using the Microsoft Graph API to get Office 365 data in your mobile apps Alex Ziskind Technical Director @digitalix www.nuvious.com Hi, I’m Alex From + 750 Million 50 Million per month Problems

第三届中国 Rust 开发者大会 Use Rust to Develop the Decentralized Open Data Application Mike Tang daogangtang@gmail.com @daogangtang 2023-06-08 ➔ 裁员 ➔ 互联网格局定型 ➔ 平台倒闭，数据丢失 这是一个什么时代？ 互联网的终局 创业 -> 种子 dataset, data will increase quickly on any dimension. ➔ Multiple dimensions Dataset Models ➔ What is open data? Build an internet platform, but open its data to everyone. ➔ Why we need open data? The The business of the closed data model has been at the end. A New Proposal: Open Data Application The Road to Open Web ➔ From the user side, it looks like just the traditional Internet app ➔ But everyone

distributions • Cons • O(N^2) in control plane / O(N) in data plane • Poor in scheduling algorithm • Iptables rules are difficult to debug IPVS mode • Services are organized in hash table • IPVS DNAT • conntrack/iptables conntrack/iptables SNAT • Pros • O(1) time complexity in control/data plane • Stably runs for two decades • Support rich scheduling algorithm • Cons • Performance cost caused by conntrack • Some bugs Post-route Iptables snat Conntrack Post-route Pre-route IPVS entry BPF SNAT IPVS mode data path IPVS-eBPF mode data path How eBPF does SNAT • Why does SNAT with eBPF • eBPF program is easy to deploy

© 2018 Percona. 35 Queries from bad Transaction © 2018 Percona. 36 Anyone dumping a lot of data ? © 2018 Percona. 37 Want Processed Logs ? Check out Percona Monitoring and Management © 2018 2018 Percona. 38 Need Help ? Percona - MySQL, MariaDB, MongoDB, PostgreSQL Support and Services Will help you getting your MySQL log to Clickhouse Recommend Altinity for complete ClickHouse Support external:service clickhouse --interval 10s --service-port=9116 © 2018 Percona. 40 Use Advanced Data Exploration Dashboard © 2018 Percona. 41 Import Grafana Dashboard © 2018 Percona. 42 Dashboard

in mesh traffic ● Summary #IstioCon Istio Architecture Connect, secure, control, and observe services. #IstioCon Security Architecture #IstioCon Bookinfo architecture without service mesh ● Reviews-v1 calls ratings, black stars ● Reviews-v3 ○ calls ratings, red stars Initializing services 1) Deploy bookinfo services with istio sidecar without reviews-v2 2) Deploy bookinfo gateway 3) Deploy reviews-v2 kubectl label namespace default istio-injection=disabled/enabled ） Initializing services 1) Deploy bookinfo services with istio sidecar without reviews-v2 2) Deploy bookinfo gateway 3) Deploy reviews-v2

apply K8S API Спецификация ClickHouse on Kubernetes – components Shard 1 Replica 1 Zookeeper Services Zookeeper-0 Zookeeper-2 Zookeeper-1 Replica Service Load Balancer Service Shard 1 Replica процесс может занять некоторое время (не мгновенно). Схема отношений Kubernetes Pods, Volumes, Services Replication – нужен Zookeeper Можно использовать любой имеющийся ZK cluster Install Zookeeper:

Users (GUI/API) Container Schedulers/Runtimes Consumers LDAP/Active Directory Supporting services Harbor Packaging Docker Kubernetes Cloud Foundry Deep dive Harbor through panel discussion

isn’t being declared? struct data_t { int a; int b; }; /* Get data from device ‘dev’. */ data_t get_data_from(size_t dev); What defines how dev is passed or data_t is returned? Calling conventions… being used here? push ... call data_t get_data_from(unsigned int) add esp, 4 add eax, edx Caller cleanup (cdecl) push ... call data_t get_data_from(unsigned int) add eax, edx cleanup (stdcall) data_t d = get_data_from(dev); return d.a + d.b;What isn’t being declared? struct data_t { int a; int b; }; /* Get data from device ‘dev’. */ data_t get_data_from(size_t dev);

 Why ranges?  Provide nicer and easier to read syntax: vector data { 11, 22, 33 }; sort(begin(data), end(data)); ranges::sort(data);  Eliminate mismatching begin/end iterators  Allows “range adaptors” chained using pipes  |13 Ranges  Example of chaining views: vector data { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 }; auto result { data | views::filter([](const auto& value) { return value % 2 == 0; })/* Initializers  Designated initialization of aggregates  E.g.: struct Data { int anInt { 0 }; std::string aString; }; Data d { .aString = "Hello" };48 Spaceship Operator <=>  Official name: