DOCSLIB.ORG

AWS Managed Databases & .NET

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
AWS Managed Databases & .NET AWS Managed Databases & .NET Kirk Davis Senior Solutions Architect © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Fully managed databases for every use case MySQL PostgreSQL Amazon Aurora Amazon RDS Amazon DynamoDB Amazon DocumentDB Amazon Managed Amazon ElastiCache Cassandra Amazon Redshift Amazon Neptune Amazon Quantum Ledger Amazon Timestream © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Database Amazon DynamoDB Features Overview . Effectively limitless capacity . Low latency (single-digit ms), highly-available . Supports in-memory cache (DAX) for microsecond latency . Encryption at rest . Secondary indexes (global + local) . ACID transaction support . Automated global replication w/Global Tables . DynamoDB Streams & Triggers for real-time processing . On-demand backup/restore & point-in-time recovery © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. DynamoDB SDKs Application DynamoDB Streams SDK Low-level Document Object-persistence interface interface interface Any language .NET, Java, Node.js, JS .NET, Java DynamoDB Accelerator SDK (DAX) DynamoDB low-level API © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Object-persistence model using Amazon.DynamoDBv2.DataModel; …method() { var context = new DynamoDBContext(new AmazonDynamoDBClient()); context.Save(SomeInstanceOfClass); } © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Point-in-time Restore © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Global Tables – cross-region replication Build high-performance, globally distributed applications Low latency reads and writes to locally available tables Multi-region, multi-master Easy to set up and no application rewrites required © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon DynamoDB Accelerator (DAX) Your applications Fully managed, highly available cache for DynamoDB Even faster— DAX microsecond latency Scales to millions of requests per second DynamoDB API compatible © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon DynamoDB Transactions . Group multiple Put, Update, Delete, and ConditionCheck actions and submit them as a single TransactWriteItems operation . Transaction either succeeds or fails as a unit . No additional cost to enable transactions © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Partitions are three-way replicated Id = 2 Id = 1 Id = 3 Name = Kim Name = Andy Name = Jim Replica 1 Dept = Engg Dept = Ops Id = 2 Id = 1 Id = 3 Name = Andy Name = Jim Name = Kim Replica 2 Dept = Engg Dept = Ops Id = 2 Id = 1 Id = 3 Name = Andy Name = Jim Name = Kim Replica 3 Dept = Engg Dept = Ops © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Data Types – Object-persistence maps for you Attribute Data Types Collections: . String (S) . String set (SS) . Number (N) . Number set (NS) . Binary (B) . Binary set (BS) . Null . List . Boolean . Map © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved..
Load more

Recommended publications
  • (AWS) Security Workshop - Pre-Read Material
    Amazon Web Services (AWS) Security Workshop - Pre-read material It is highly recommended to go through the pre-read before attending the AWS Security workshop. Shared Responsibility Model Security and Compliance is a shared responsibility between AWS and the customer. This shared model can help relieve the customer’s operational burden as AWS operates, manages and controls the components from the host operating system and virtualization layer down to the physical security of the facilities in which the service operates. The customer assumes responsibility and management of the guest operating system (including updates and security patches), other associated application software as well as the configuration of the AWS provided security group firewall. Customers should carefully consider the services they choose as their responsibilities vary depending on the services used, the integration of those services into their IT environment, and applicable laws and regulations. The nature of this shared responsibility also provides the flexibility and customer control that permits the deployment. As shown in the chart below, this differentiation of responsibility is commonly referred to as Security “of” the Cloud versus Security “in” the Cloud. AWS responsibility “Security of the Cloud” - AWS is responsible for protecting the infrastructure that runs all of the services offered in the AWS Cloud. This infrastructure is composed of the hardware, software, networking, and facilities that run AWS Cloud services. Customer responsibility “Security in the Cloud” – Customer responsibility will be determined by the AWS Cloud services that a customer selects. This determines the amount of configuration work the customer must perform as part of their security responsibilities.
    [Show full text]
  • AWS Managed Services (AMS)
    AWS Managed Services (AMS) Application Developer's Guide AMS Advanced Operations Plan Version September 16, 2020 AWS Managed Services (AMS) Application Developer's Guide AMS Advanced Operations Plan AWS Managed Services (AMS) Application Developer's Guide: AMS Advanced Operations Plan Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. AWS Managed Services (AMS) Application Developer's Guide AMS Advanced Operations Plan Table of Contents Application Onboarding to AMS Introduction ........................................................................................ 1 What is Application Onboarding? ................................................................................................. 1 What we do, what we do not do .................................................................................................. 1 AMS Amazon Machine Images (AMIs) ............................................................................................ 2 Security enhanced AMIs ...................................................................................................... 4 Key terms .................................................................................................................................
    [Show full text]
  • Amazon Documentdb Deep Dive
    DAT326 Amazon DocumentDB deep dive Joseph Idziorek Antra Grover Principal Product Manager Software Development Engineer Amazon Web Services Fulfillment By Amazon © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Agenda What is the purpose of a document database? What customer problems does Amazon DocumentDB (with MongoDB compatibility) solve and how? Customer use case and learnings: Fulfillment by Amazon What did we deliver for customers this year? What’s next? © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Purpose-built databases Relational Key value Document In-memory Graph Search Time series Ledger Why document databases? Denormalized data Normalized data model model { 'name': 'Bat City Gelato', 'price': '$', 'rating': 5.0, 'review_count': 46, 'categories': ['gelato', 'ice cream'], 'location': { 'address': '6301 W Parmer Ln', 'city': 'Austin', 'country': 'US', 'state': 'TX', 'zip_code': '78729'} } Why document databases? GET https://api.yelp.com/v3/businesses/{id} { 'name': 'Bat City Gelato', 'price': '$', 'rating': 5.0, 'review_count': 46, 'categories': ['gelato', 'ice cream'], 'location': { 'address': '6301 W Parmer Ln', 'city': 'Austin', 'country': 'US', 'state': 'TX', 'zip_code': '78729'} } Why document databases? response = yelp_api.search_query(term='ice cream', location='austin, tx', sort_by='rating', limit=5) Why document databases? for i in response['businesses']: col.insert_one(i) db.businesses.aggregate([ { $group: { _id: "$price", ratingAvg: { $avg: "$rating"}} } ]) db.businesses.find({
    [Show full text]
  • Database Software Market: Billy Fitzsimmons +1 312 364 5112
    Equity Research Technology, Media, & Communications | Enterprise and Cloud Infrastructure March 22, 2019 Industry Report Jason Ader +1 617 235 7519 [email protected] Database Software Market: Billy Fitzsimmons +1 312 364 5112 The Long-Awaited Shake-up [email protected] Naji +1 212 245 6508 [email protected] Please refer to important disclosures on pages 70 and 71. Analyst certification is on page 70. William Blair or an affiliate does and seeks to do business with companies covered in its research reports. As a result, investors should be aware that the firm may have a conflict of interest that could affect the objectivity of this report. This report is not intended to provide personal investment advice. The opinions and recommendations here- in do not take into account individual client circumstances, objectives, or needs and are not intended as recommen- dations of particular securities, financial instruments, or strategies to particular clients. The recipient of this report must make its own independent decisions regarding any securities or financial instruments mentioned herein. William Blair Contents Key Findings ......................................................................................................................3 Introduction .......................................................................................................................5 Database Market History ...................................................................................................7 Market Definitions
    [Show full text]
  • Planning and Designing Databases on AWS (AWS-PD-DB)
    Planning and Designing Databases on AWS (AWS-PD-DB) COURSE OVERVIEW: In this course, you will learn about the process of planning and designing both relational and nonrelational databases. You will learn the design considerations for hosting databases on Amazon Elastic Compute Cloud (Amazon EC2). You will learn about our relational database services including Amazon Relational Database Service (Amazon RDS), Amazon Aurora, and Amazon Redshift. You will also learn about our nonrelational database services including Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB. By the end of this course, you will be familiar with the planning and design requirements of all 8 of these AWS databases services, their pros and cons, and how to know which AWS databases service is right for your workloads. WHO WILL BENEFIT FROM THIS COURSE? • Data platform engineers • Database administrators • Solutions architects • IT professionals PREREQUISITES: We recommend that attendees of this course have previously completed the following AWS courses: • AWS Database Offerings digital training • Data Analytics Fundamentals digital training • Architecting on AWS classroom training COURSE OBJECTIVES: After completion of this course, students will be able to... • Apply database concepts, database management, and data modeling techniques • Evaluate hosting databases on Amazon EC2 instances • Evaluate relational database services (Amazon RDS, Amazon Aurora, and Amazon Redshift) and their features • Evaluate nonrelational database services
    [Show full text]
  • All Services Compute Developer Tools Machine Learning Mobile
    AlL services X-Ray Storage Gateway Compute Rekognition d Satellite Developer Tools Amazon Sumerian Athena Machine Learning Elastic Beanstalk AWS Backup Mobile Amazon Transcribe Ground Station EC2 Servertess Application EMR Repository Codestar CloudSearch Robotics Amazon SageMaker Customer Engagement Amazon Transtate AWS Amplify Amazon Connect Application Integration Lightsail Database AWS RoboMaker CodeCommit Management & Governance Amazon Personalize Amazon Comprehend Elasticsearch Service Storage Mobile Hub RDS Amazon Forecast ECR AWS Organizations Step Functions CodeBuild Kinesis Amazon EventBridge AWS Deeplens Pinpoint S3 AWS AppSync DynamoDe Amazon Textract ECS CloudWatch Blockchain CodeDeploy Quicksight EFS Amazon Lex Simple Email Service AWS DeepRacer Device Farm ElastiCache Amazont EKS AWS Auto Scaling Amazon Managed Blockchain CodePipeline Data Pipeline Simple Notification Service Machine Learning Neptune FSx Lambda CloudFormation Analytics Cloud9 AWS Glue Simple Queue Service Amazon Polly Business Applications $3 Glacer AR & VR Amazon Redshift SWF Batch CloudTrail AWS Lake Formation Server Migration Service lot Device Defender Alexa for Business GuardDuty MediaConnect Amazon QLDB WorkLink WAF & Shield Config AWS Well. Architected Tool Route 53 MSK AWS Transfer for SFTP Artifact Amazon Chime Inspector lot Device Management Amazon DocumentDB Personal Health Dashboard C MediaConvert OpsWorks Snowball API Gateway WorkMait Amazon Macie MediaLive Service Catalog AWS Chatbot Security Hub Security, Identity, & Internet of Things loT
    [Show full text]
  • Enter the Purpose-Built Database Era: Finding the Right Database Type for the Right Job
    Enter the Purpose-Built Database Era: Finding the right database type for the right job 1 INTRODUCTION Stepping into the purpose-built era Data is a strategic asset for every organization. As data continues to exponentially grow, databases are becoming increasingly crucial to understanding data and converting it to valuable insights. IT leaders need to look for ways to get more value from their data. If you’re running legacy databases on-premises, you’re likely finding that provisioning, operating, scaling, and managing databases is tedious, time-consuming, and expensive. You need modernized database solutions that allow you to spend time innovating and building new applications—not managing infrastructure. Moving on-premises data to managed databases built for the cloud can help you reduce time and costs. Once your databases are in the cloud, you can innovate and build new applications faster—all while getting deeper and more valuable insights. Migrating to the cloud is the first step toward entering the era of purpose-built databases. But once in the cloud, how do you know which types of databases to use for which functions? Read on to learn more about purpose-built database types—and how you can ensure a smooth transition into an era of innovation, performance, and business success. 2 WHY CHANGE? Going beyond relational only Before we begin discussing purpose-built databases, let’s examine the status quo—using relational databases for just about every use case. Relational databases were designed for tabular data with consistent structure and fixed schema. They work for problems that are well defined at the onset.
    [Show full text]
  • Amazon.SAP-C01.V2020-12-07.Q125
    Amazon.SAP-C01.v2020-12-07.q125 Exam Code: SAP-C01 Exam Name: AWS Certified Solutions Architect - Professional Certification Provider: Amazon Free Question Number: 125 Version: v2020-12-07 # of views: 109 # of Questions views: 1253 https://www.freecram.com/torrent/Amazon.SAP-C01.v2020-12-07.q125.html NEW QUESTION: 1 A company has a 24 TB MySQL database in its on-premises data center that grows at the rate of 10 GB per day. The data center is connected to the company's AWS infrastructure with a 50 Mbps VPN connection. The company is migrating the application and workload to AWS. The application code is already installed and tested on Amazon EC2. The company now needs to migrate the database and wants to go live on AWS within 3 weeks. Which of the following approaches meets the schedule with LEAST downtime? A. 1. Take the on-premises application offline.2. Create a database export locally using database-native tools.3. Import that into AWS using AWS Snowball.4. Launch an Amazon RDS Aurora DB instance.5. Load the data in the RDS Aurora DB instance from the export.6. Change the DNS entry to point to the Amazon RDS Aurora DB instance.7. Put the Amazon EC2 hosted application online. B. 1. Create a database export locally using database-native tools.2. Import that into AWS using AWS Snowball.3. Launch an Amazon RDS Aurora DB instance.4. Load the data in the RDS Aurora DB instance from the export.5. Set up database replication from the on-premises database to the RDS Aurora DB instance over the VPN.6.
    [Show full text]
  • Amazon Documentdb (With Mongodb Compatibility) Deep Dive
    Amazon DocumentDB (with MongoDB compatibility) Deep Dive Jeff Duffy DocumentDB Specialist SA © 2020, Amazon Web Services, Inc. or its Affiliates. AWS: Purpose-built databases Relational Key-value Document In-memory Graph Time-series Ledger Wide Column Amazon Relational Amazon Amazon Amazon Amazon Database Service Amazon Amazon Amazon DynamoDB DocumentDB ElastiCache Neptune (RDS) Timestream Quantum Keyspaces Ledger Aurora Community Commercial Redis Memcached Database © 2020, Amazon Web Services, Inc. or its Affiliates. Amazon DocumentDB Fast, scalable, and fully managed MongoDB-compatible database service MongoDB Fast Scalable Fully managed compatible Millions of requests per second Separation of compute and Managed by AWS: Compatible with MongoDB 3.6; with millisecond latency storage scales both no hardware provisioning; use the same SDKs, tools, and independently; scale out to auto patching, quick setup, applications with Amazon 15 read replicas in minutes secure, and automatic DocumentDB backups Purpose-built document database engineered for the cloud © 2020, Amazon Web Services, Inc. or its Affiliates. Customers Learn more: https://aws.amazon.com/documentdb/customers/ © 2020, Amazon Web Services, Inc. or its Affiliates. Document Databases © 2020, Amazon Web Services, Inc. or its Affiliates. Evolution of document databases != JSON RelationalJSON (Client) (App) (Database) JSON became Friction when Object-relational Document the de facto converting JSON mappers (ORMs) databases solved data interchange to the relational were created to the problem format model minimize friction © 2020, Amazon Web Services, Inc. or its Affiliates. Why document databases? Documents map naturally to how humans model data Denormalized data Normalized data model model Documents (objects/JSON) are common application data models Document databases store JSON-like documents Document databases provide flexible schema and indexing Ad hoc querying and aggregations © 2020, Amazon Web Services, Inc.
    [Show full text]
  • AWS Cost and Usage Reports User Guide AWS Cost and Usage Reports User Guide
    AWS Cost and Usage Reports User Guide AWS Cost and Usage Reports User Guide AWS Cost and Usage Reports: User Guide Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. AWS Cost and Usage Reports User Guide Table of Contents What are AWS Cost and Usage Reports? ............................................................................................... 1 How it works ............................................................................................................................. 1 Using the data dictionary ............................................................................................................ 1 Download AWS CUR ................................................................................................................... 2 AWS Organizations users ............................................................................................................ 2 Creating reports ................................................................................................................................. 3 Setting up an Amazon S3 bucket for Cost and Usage Reports .........................................................
    [Show full text]
  • Amazon.Com Announces Fourth Quarter Sales up 20% to $72.4 Billion
    AMAZON.COM ANNOUNCES FOURTH QUARTER SALES UP 20% TO $72.4 BILLION SEATTLE—(BUSINESS WIRE) January 31, 2019—Amazon.com, Inc. (NASDAQ: AMZN) today announced financial results for its fourth quarter ended December 31, 2018. Operating cash flow increased 67% to $30.7 billion for the trailing twelve months, compared with $18.4 billion for the trailing twelve months ended December 31, 2017. Free cash flow increased to $19.4 billion for the trailing twelve months, compared with $8.3 billion for the trailing twelve months ended December 31, 2017. Free cash flow less lease principal repayments increased to $11.6 billion for the trailing twelve months, compared with $3.3 billion for the trailing twelve months ended December 31, 2017. Free cash flow less finance lease principal repayments and assets acquired under capital leases increased to an inflow of $8.4 billion for the trailing twelve months, compared with an outflow of $1.5 billion for the trailing twelve months ended December 31, 2017. Common shares outstanding plus shares underlying stock-based awards totaled 507 million on December 31, 2018, compared with 504 million one year ago. Fourth Quarter 2018 Net sales increased 20% to $72.4 billion in the fourth quarter, compared with $60.5 billion in fourth quarter 2017. Excluding the $801 million unfavorable impact from year-over-year changes in foreign exchange rates throughout the quarter, net sales increased 21% compared with fourth quarter 2017. Operating income increased to $3.8 billion in the fourth quarter, compared with operating income of $2.1 billion in fourth quarter 2017.
    [Show full text]
  • Databases on AWS the Right Tool for the Right Job
    Databases on AWS The Right Tool for the Right Job David Gendel, Sr. Solutions Architect, AWS Wednesday, February 17, 2021 © 2021, Amazon Web Services, Inc. or its Affiliates. Traditional Database Architecture Client Tier one database App/Web Tier for all workloads RDBMS © 2021, Amazon Web Services, Inc. or its Affiliates. Traditional Database Architecture • Key-value access Client Tier • Complex queries • OLAP transactions App/Web Tier • Analytics RDBMS All forced into the relational database © 2021, Amazon Web Services, Inc. or its Affiliates. AWS Data Tier Architecture Client Tier On AWS choose best database service for each App/Web Tier workload Data Tier Cache Data Warehouse Time Series Blob Store NoSQL RDBMS Quantum Ledger Search © 2021, Amazon Web Services, Inc. or its Affiliates. Workload Driven Data Store Selection hot reads analytics logging NoSQL complex queries Periodic rich search simple query & transactions data Graph / Key Value / Document Untampered data Data Tier Cache Data Warehouse Time Series Blob Store NoSQL RDBMS Quantum Ledger Search © 2021, Amazon Web Services, Inc. or its Affiliates. AWS Database Services hot reads analytics logging NoSQL complex queries Periodic rich search simple query & transactions data Graph / Key Value / Document Untampered data Data Tier Amazon Amazon Amazon Amazon S3 ElastiCache Redshift Timestream Amazon DynamoDB Amazon Amazon Amazon Neptune / DocumentDB RDS QLDB ElasticSearch © 2021, Amazon Web Services, Inc. or its Affiliates. Easy to Administer Highly Scalable Amazon RDS Available and
    [Show full text]