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Speaker: Peter Dachnowicz - Sr. Technical Account Manager, AWS Enterprise Support
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AWS Elasticsearch Service Architecture Overview
1.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Using Search with a Database Peter Dachnowicz pdach@amazon.com Sr Technical Account Manager
2.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Elasticsearch Service Fully-managed service that is easy to deploy, manage, and scale + Fully managed
3.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Benefits of Amazon Elasticsearch Service Supports Open-Source APIs and Tools Drop-in replacement with no need to learn new APIs or skills Easy to Use Deploy a production-ready Elasticsearch cluster in minutes Scalable Resize your cluster with a few clicks or a single API call Secure Deploy into your VPC and restrict access using security groups and IAM policies Highly Available Replicate across Availability Zones, with monitoring and automated self-healing Tightly Integrated with Other AWS Services Seamless data ingestion, security, auditing and orchestration
4.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Service architecture AWS SDK AWS CLI AWS CloudFormation Elasticsearch data nodes Elasticsearch master nodes Elastic Load Balancing IAM Amazon CloudWatch AWS CloudTrail Amazon Elasticsearch Service domain
5.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Elasticsearch Service VPC Support • Private networking between your VPC and Amazon Elasticsearch Service • Traffic does not traverse the public internet • Use IAM policies and security groups for authentication and access control VPC subnet security group VPC subnet Availability Zone A IAM Amazon Elasticsearch Service Data Master Availability Zone B security group IAM Data Master
6.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Lambda architectures S3 Events Amazon S3 AWS Lambda Function Amazon Elasticsearch Service Amazon Kinesis Files Amazon DynamoDB Table DynamoDB streams AWS Lambda Function Data Producers AWS Lambda Function
7.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Kinesis Firehose delivery architecture Amazon Elasticsearch Service Transformed records Data transformation function • For public access domains • Easily transform data • Serverless with built-in batching, index rollover, error handling Data source Source records Firehose delivery stream Source records Delivery failure Transformation failure Source records
8.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Encrypt your data • Encrypted data at rest on Amazon ES instances • Both EBS and ephemeral store • Encrypted automatic snapshots
9.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. The front end
10.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Application search
11.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Each document has a set of fields Key Idea
12.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Elasticsearch works with structured JSON containing fields and values
13.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Elasticsearch creates an index for each field Doc Fields Analysis Field indices Term 1 Term 2 Term 3 Term 4 Term 5 Term 6 Term 7 Name Value Name Value Name Value Name Value Name Value Name Value 1, 4, 8, 12, 30, 42, 58, 100 ... Posting lists
14.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Data is stored in indexes, distributed across shards Index Shards Instances ID Field: value Field: value Field: value Field: value Amazon Elasticsearch Service domain • Shards are primary or replica • Primary shard count can’t be changed • Elasticsearch distributes shards to instances elastically • Primary and replica are distributed to different instances
15.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. How many instances? Index size is approximately source size if you are deploying an index replica Instance count based on storage requirements • Either local storage or up to 1.5 TB of Amazon Elastic Block Store (EBS) per instance
16.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Which instance type? Instance Max storage* Workload T2 3.5TB You want to do dev/QA M3, M4 150TB Your data and queries are “average” R3, R4 150TB You have higher request volumes, larger documents, or are using aggregations heavily C4 150TB You need to support high concurrency I2, I3 1.5PB You have XL storage needs
17.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Elasticsearch Service Customers Software & Internet Education Technology BioTech and Pharma Media and EntertainmentFinancial Services Social Media Telecommunications Travel & Transportation Real Estate Logistics & Operations Publishing Other