Build reliable, asynchronous, and distributed applications using message queuing and task orchestration capabilities of Amazon Web Services (AWS) Application Integration. This book prepares you to build distributed applications and administrators, and manage queues, workflows, and state machines.
You'll start by reviewing key AWS prerequisite services such as EC2, Lambda, S3, DynamoDB, CloudWatch, and IAM. Simple Queue Service (SQS) and SNS Simple Notification Service (SNS) are then covered to show how applications interact with each other in a reliable and resilient fashion. Next, workflow building with (Simple Workflow Service (SWF) for orchestration of tasks is explained and in the final chapter learn the techniques for building a state using Step Functions, Simple Workflow Service along with Flow Framework.
The book illustrates all the concepts using numerous examples that work with SDK, CLI, and Console. Most of the code examples are in Java, followed by Python and JavaScript.
What You Will Learn
- Understand the important prerequisites of AWS, such as EC2, Lambda, S3, and DynamoDB
- Work with SQS, SNS, and SWS functions
- Review Step functions
Who This Book Is For
AWS developers and software developers proficient in Java, Python and JavaScript.
| About the Authors |
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xi | |
| About the Technical Reviewer |
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xiii | |
| Acknowledgments |
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| Introduction |
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xvii | |
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Chapter 1 Getting Started |
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6 | (4) |
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10 | (8) |
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18 | (17) |
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35 | (14) |
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49 | (8) |
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Understanding the Project |
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52 | (2) |
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54 | (3) |
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57 | (2) |
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Chapter 2 Simple Queue Service |
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59 | (80) |
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64 | (2) |
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66 | (11) |
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66 | (4) |
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70 | (4) |
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74 | (3) |
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77 | (7) |
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78 | (2) |
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80 | (2) |
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82 | (2) |
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Pull Message from a Queue |
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84 | (9) |
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84 | (2) |
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86 | (2) |
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88 | (4) |
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92 | (1) |
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93 | (3) |
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96 | (30) |
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98 | (14) |
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112 | (14) |
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FIFO (First-In-First-Out) Queues |
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126 | (6) |
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127 | (1) |
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128 | (2) |
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130 | (2) |
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Retry Failed Receive Requests |
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132 | (1) |
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132 | (5) |
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Handle Messages in Dead Letter Queues |
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137 | (1) |
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137 | (2) |
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Chapter 3 Simple Notification Service |
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139 | (50) |
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140 | (1) |
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141 | (9) |
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142 | (4) |
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146 | (4) |
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150 | (8) |
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153 | (5) |
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158 | (5) |
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158 | (4) |
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163 | (10) |
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168 | (5) |
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173 | (11) |
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174 | (2) |
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Initializing Firebase in web-app |
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176 | (3) |
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179 | (3) |
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182 | (1) |
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183 | (1) |
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184 | (3) |
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185 | (2) |
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187 | (2) |
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Chapter 4 Simple Workflow Service |
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189 | (74) |
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Architecture of SWF Applications |
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190 | (3) |
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193 | (15) |
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193 | (6) |
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199 | (4) |
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203 | (5) |
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208 | (3) |
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211 | (26) |
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212 | (5) |
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217 | (16) |
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Implementing Activity Worker |
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233 | (4) |
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237 | (11) |
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Serverless Activity Workers |
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238 | (4) |
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242 | (6) |
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248 | (7) |
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248 | (5) |
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255 | (5) |
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257 | (2) |
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259 | (1) |
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260 | (3) |
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263 | (80) |
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264 | (2) |
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264 | (1) |
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265 | (1) |
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265 | (1) |
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266 | (11) |
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266 | (6) |
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Executing the State Machine |
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272 | (1) |
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273 | (4) |
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277 | (32) |
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277 | (1) |
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278 | (31) |
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309 | (8) |
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Creating and Using Activity |
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309 | (2) |
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Activity Worker Implementation |
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311 | (6) |
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317 | (12) |
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317 | (6) |
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323 | (1) |
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324 | (5) |
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329 | (4) |
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333 | (5) |
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338 | (2) |
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340 | (1) |
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341 | (2) |
| Index |
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Jyothi Buddha Prasadhas over 12 years of experience in software development along with building tools for optimizing testing. He has worked on many time-critical projects for IBM, Oracle, and Amazon, by inventing new time-saving approaches and tools consistently. At Amazon, he developed two products named LiveCode and HireOn quickly using AWS which were experiments from Amazon and later became full-fledged products embedded into Amazon's recruiting workflow. He is also a Pluralsight author, an open source contributor and was Java User Group Hyderabad Lead. He is currently working for Amazon, based out of Seattle, WA. Reshma Beesetty is currently working as a software developer for Tata Consultancy Services. She is also a published author with experience in extensive research-oriented content creation. She has produced and managed content for several startups by designing and maintaining editorial calendars that were published across various web platforms. Her work asan article writer and report creator have been published across state medias of Andhra Pradesh, Karnataka and Tamilnadu in India.
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