28 Python Tutorial 29 Sharing Data Between Processes Using Queue
xin zhan
28 Python Tutorial 29 Sharing Data Between Processes Using Queue
6:13
19 Painting on a Distributed Canvas An Advanced Guide to Celery Workflows
xin zhan
19 Painting on a Distributed Canvas An Advanced Guide to Celery Workflows
42:38
33 docker compose Tutorial
xin zhan
33 docker compose Tutorial
10:24
32 Docker Swarm Tutorial
xin zhan
32 Docker Swarm Tutorial
8:37
31 Docker Services Tutorial
xin zhan
31 Docker Services Tutorial
9:52
30 Docker Basics Tutorial
xin zhan
30 Docker Basics Tutorial
23:08
29 Breakout Session Presented by Derek Nelson of PipelineDB at PGConf Silicon Valley 2015
xin zhan
29 Breakout Session Presented by Derek Nelson of PipelineDB at PGConf Silicon Valley 2015
40:32
27 Python Tutorial 28 Sharing Data Between Processes Using Array and Value
xin zhan
27 Python Tutorial 28 Sharing Data Between Processes Using Array and Value
7:05
26 y2mate com dissecting dynamo highly available key value store at silicon valley code camp 2018
xin zhan
26 y2mate com dissecting dynamo highly available key value store at silicon valley code camp 2018
27:22
25 Handy Parallel Distributed Computing in Python PyCon APAC 2014
xin zhan
25 Handy Parallel Distributed Computing in Python PyCon APAC 2014
27:11
23 Introduction To Apache Cassandra 1
xin zhan
23 Introduction To Apache Cassandra 1
1:15:06
22 Building Distributed System with Celery on Docker Swarm
xin zhan
22 Building Distributed System with Celery on Docker Swarm
32:51
21 Callback Patterns and Idioms in Python
xin zhan
21 Callback Patterns and Idioms in Python
1:04:07
20 Pika and Queues
xin zhan
20 Pika and Queues
38:45
18 James and Jessica Earl Cha,
xin zhan
18 James and Jessica Earl Cha,
43:53
17 Implementing Celery, Lessons Learned
xin zhan
17 Implementing Celery, Lessons Learned
43:11
16 DjangoCon US 2018 Building Workflows With Celery by Josue Balandrano Coronel
xin zhan
16 DjangoCon US 2018 Building Workflows With Celery by Josue Balandrano Coronel
23:42
15 Messaging at Scale at Instagram
xin zhan
15 Messaging at Scale at Instagram
29:49
14 The hardest part of microservices is your data
xin zhan
14 The hardest part of microservices is your data
46:06
11 Asynchronous, Evented Messaging with AMQP, Kombu, and gevent
xin zhan
11 Asynchronous, Evented Messaging with AMQP, Kombu, and gevent
53:30
13 Intro to Celery
xin zhan
13 Intro to Celery
1:01:14
12 Introduction to Microservices, Docker, and Kubernetes
xin zhan
12 Introduction to Microservices, Docker, and Kubernetes
55:08
Scaling Instagram Infrastructure
xin zhan
Scaling Instagram Infrastructure
51:12
10 Using Celery with Social Networks
xin zhan
10 Using Celery with Social Networks
32:56
9 Implementing Celery, Lessons Learned 1
xin zhan
9 Implementing Celery, Lessons Learned 1
37:33
8 Task Queues A Celery Story
xin zhan
8 Task Queues A Celery Story
29:39
7 Advanced Celery
xin zhan
7 Advanced Celery
31:06
6 Advanced Celery Tricks Itamar Hartstein PyCon Israel 2018
xin zhan
6 Advanced Celery Tricks Itamar Hartstein PyCon Israel 2018
24:05
4 Yigit Guler Understanding Celery u0026 CeleryBeat
xin zhan
4 Yigit Guler Understanding Celery u0026 CeleryBeat
30:30
2 Steven Sklar The Hare Wins the Race Getting the most out of RabbitMQ in distributed application
xin zhan
2 Steven Sklar The Hare Wins the Race Getting the most out of RabbitMQ in distributed application
28:57