Serverless Computing. Redefining the Cloud. Roger S. Barga, Ph.D. General Manager Amazon Web Services
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2 Serverless Computing Redefining the Cloud Roger S. Barga, Ph.D. General Manager Amazon Web Services
3 Technology Triggers
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5 Highly Recommended
6 Serverless
7 Amazon Kinesis Firehose Load massive volumes of streaming data into S3, Redshift, Elasticsearch, Capture and submit streaming data Firehose loads streaming data continuously into Amazon S3, Redshift and Elasticsearch Analyze streaming data using your favorite BI tools Zero administration: Capture and deliver streaming data into Amazon S3, Amazon Redshift, and other destinations without writing an application or managing infrastructure. Direct-to-data store integration: Batch, compress, and encrypt streaming data for delivery into data destinations in as little as 60 secs using simple configurations. Elastic: Scales to match data throughput w/o intervention Serverless ETL using AWS Lambda - Firehose can invoke your Lambda function to transform incoming source data.
8 Amazon Kinesis Analytics Connect to Kinesis streams, Firehose delivery streams Run standard SQL queries against data streams Kinesis Analytics can send processed data to analytics tools so you can create alerts and respond in real-time Apply SQL on streams: Easily connect to a Kinesis Stream or Firehose Delivery Stream and apply SQL skills. Build real-time applications: Perform continual processing on streaming data with sub-second processing latencies using ANSI SQL Automatics Scalability : Serverless, elastically scales to match data throughput.
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17 Provisioning and Utilization Availability and Fault Tolerance Scaling Operations and Management
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24 Provisioning and Utilization Availability and Fault Tolerance Scaling Operations and Management
25 Provisioning and Utilization Availability and Fault Tolerance Scaling Operations and Management
26 Provisioning and Utilization Availability and Fault Tolerance Scaling Operations and Management
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33 Common Use Cases </> Web Applications Static websites Complex web apps Packages for Flask and Express Backends Apps & services Mobile IoT Big Data Real time MapReduce Batch Chatbots Powering chatbot logic Amazon Alexa Powering voiceenabled apps Alexa Skills Kit IT Automation Policy engines Extending AWS services Infrastructure management
34 Common Use Cases </> Web Applications and Backends AWS Web Applications Static websites Backends Apps & services Mobile Apps Websites Internet Amazon CloudFront API Gateway Cache AWS Lambda function Amazon S3 AWS Lambda function Complex web apps Packages for Flask and Express Mobile IoT Services Amazon CloudWatch Monitoring AWS Lambda function Amazon DynamoDB All publicly accessible endpoints
35 Common Use Cases Task Choice Web Applications Static websites Backends </> Fail Apps & services Lambda + Step Functions Image Recognition and Processing Backend Complex web apps Packages for Flask and Express Mobile IoT Parallel
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37 How irobot leverages AWS AWS IoT Amazon Cognito Amazon SNS Amazon API Gateway Amazon SQS Amazon CloudFront Amazon S3 Amazon CloudWatch AWS CloudFormation AWS CloudTrail AWS Config AWS Lambda AWS WAF AWS KMS AWS IAM Amazon Kinesis Amazon Elasticsearch Service Amazon QuickSight Amazon DynamoDB Amazon Redshift Amazon Route 53 Amazon VPC
38 Serverless is Distributed by Nature Component graph becomes call graph Distributed systems thinking is required from the start Event-based architecture
39 Common Use Cases </> Web Applications Static websites Complex web apps Packages for Flask and Express Backends Apps & services Mobile IoT Data Processing Real time MapReduce Batch Chatbots Powering chatbot logic Amazon Alexa Powering voiceenabled apps Alexa Skills Kit IT Automation Policy engines Extending AWS services Infrastructure management
40 Common Use Cases Web Applications Static websites Complex web apps Packages for Flask and Express
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43 Common Use Cases Lambda + S3 </> Web Applications Static websites Complex web apps Packages for Flask and Express Backends Apps & services Mobile IoT Data Processing Real time MapReduce Batch Chatbots Powering chatbot logic Amazon Alexa Powering voiceenabled apps Alexa Skills Kit IT Automation Policy engines Extending AWS services Infrastructure management
44 Common Use Cases Lambda + Kinesis + DynamoDB Data Processing Real time MapReduce Batch
45 Common Use Cases Lambda + DynamoDB + Redshift Data Processing Real time MapReduce Batch
46 Nordstrom Recommendations What to expect from the session minutes of processing now in seconds 2x order of magnitude for cost savings
47 Common Use Cases </> Web Applications Static websites Complex web apps Packages for Flask and Express Backends Apps & services Mobile IoT Data Processing Real time MapReduce Batch Chatbots Powering chatbot logic Amazon Alexa Powering voiceenabled apps Alexa Skills Kit IT Automation Policy engines Extending AWS services Infrastructure management
48 Common Use Cases </> Web Applications Static websites Complex web apps Packages for Flask and Express Backends Apps & services Mobile IoT Data Processing Real time MapReduce Batch Chatbots Powering chatbot logic Amazon Alexa Powering voiceenabled apps Alexa Skills Kit IT Automation Policy engines Extending AWS services Infrastructure management
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67 Takeaways Serverless is a Fundamental Component of Modern Applications Many enterprise applications can go serverless Move to event driven computing The ecosystem continues to grow Tooling, languages, and application capabilities But we still have a long ways to go Serverless and Edge are technology triggers with the potential to reshape distributed computing and the role of cloud computing
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