Moving to Managed Databases
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(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. -
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 ................................................................................................................................. -
Introducing Amazon RDS for Aurora Chris Littlefield, AWS Certified Solutions Architect – Associate Level, AWS Certified Sysops Administrator – Associate Level
Expert Reference Series of White Papers Introducing Amazon RDS for Aurora 1-800-COURSES www.globalknowledge.com Introducing Amazon RDS for Aurora Chris Littlefield, AWS Certified Solutions Architect – Associate Level, AWS Certified SysOps Administrator – Associate Level Introduction The following document provides an overview of one of the latest offerings from cloud leader Amazon Web Services (AWS). It’s a product that will enable powerful, massively scalable relational databases in Amazon’s cloud environment. The product was designed, built, and tested in secret over the past three years, and now it is nearly ready for production workloads. Some of its detailed design remains confidential, so we’ll present the released features and functionality, as well as pricing for this exciting new product. Background In November 2014, at Amazon Web Services’ annual conference re:Invent, Andy Jassy introduced a series of revolutionary new products. Among those new products is the product described in this paper, which is based on AWS’s hugely successful Relational Database Service (RDS). So what’s this new product, you ask? It’s Amazon Aurora for RDS. Aurora is MySQL compatible database solution that will enable highly scalable databases running across multiple AWS availability zones, at a very low price point. It’s designed to deliver the performance and availability of commercial grade databases at the simplicity and price point of open source databases. What is Amazon Aurora? Aurora is a MySQL compatible database engine that far exceeds the current size limitations of relational databases running on RDS. It spans three AWS availability zones within a region. The great news is that if you already use or are familiar with RDS, you’re already going to be comfortable configuring Aurora. -
Rose Gardner Mysteries
JABberwocky Literary Agency, Inc. Est. 1994 RIGHTS CATALOG 2019 JABberwocky Literary Agency, Inc. 49 W. 45th St., 12th Floor, New York, NY 10036-4603 Phone: +1-917-388-3010 Fax: +1-917-388-2998 Joshua Bilmes, President [email protected] Adriana Funke Karen Bourne International Rights Director Foreign Rights Assistant [email protected] [email protected] Follow us on Twitter: @awfulagent @jabberworld For the latest news, reviews, and updated rights information, visit us at: www.awfulagent.com The information in this catalog is accurate as of [DATE]. Clients, titles, and availability should be confirmed. Table of Contents Table of Contents Author/Section Genre Page # Author/Section Genre Page # Tim Akers ....................... Fantasy..........................................................................22 Ellery Queen ................... Mystery.........................................................................64 Robert Asprin ................. Fantasy..........................................................................68 Brandon Sanderson ........ New York Times Bestseller.......................................51-60 Marie Brennan ............... Fantasy..........................................................................8-9 Jon Sprunk ..................... Fantasy..........................................................................36 Peter V. Brett .................. Fantasy.....................................................................16-17 Michael J. Sullivan ......... Fantasy.....................................................................26-27 -
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({ -
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 -
Web Application Hosting in the AWS Cloud AWS Whitepaper Web Application Hosting in the AWS Cloud AWS Whitepaper
Web Application Hosting in the AWS Cloud AWS Whitepaper Web Application Hosting in the AWS Cloud AWS Whitepaper Web Application Hosting in the AWS Cloud: AWS Whitepaper 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. Web Application Hosting in the AWS Cloud AWS Whitepaper Table of Contents Abstract ............................................................................................................................................ 1 Abstract .................................................................................................................................... 1 An overview of traditional web hosting ................................................................................................ 2 Web application hosting in the cloud using AWS .................................................................................... 3 How AWS can solve common web application hosting issues ........................................................... 3 A cost-effective alternative to oversized fleets needed to handle peaks ..................................... 3 A scalable solution to handling unexpected traffic -
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 -
Amazon Aurora
D A T 2 0 2 - R What's new in Amazon Aurora Tony Petrossian GM Amazon Aurora Amazon Web Services © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Aurora Enterprise database at open source price Delivered as a managed service Drop-in compatibility with MySQL and PostgreSQL Simplicity and cost-effectiveness of open-source databases Throughput and availability of commercial databases Amazon Aurora Simple pay-as-you-go pricing 4 © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Database layers SQL Transactions Multiple layers Caching of processing all in a single Logging & Storage engine Aurora decouples storage and query processing SQL Database Transactions node Caching Amazon Aurora Storage Processing Shared storage volume nodes Storage Storage Scale-out, distributed storage processing architecture Purpose-built log-structured distributed Availability Zone 1 Availability Zone 2 Availability Zone 3 storage system designed for databases SQL SQL SQL Storage volume is striped across hundreds Transactions Transactions Transactions of storage nodes distributed over 3 Caching Caching Caching Instancenodes different Availability Zones Six copies of data, two copies in each Availability Zone to protect against AZ+1 Shared storage volume failures Data is written in 10 GB “protection nodes Storage groups”, growing automatically when needed 8 © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Aurora: Why re-imagine the RDBMS Customers Aurora: Why re-imagine the RDBMS Aurora: -
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 -
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. -
Amazon Aurora Connector
Informatica® Cloud Data Integration Amazon Aurora Connector Informatica Cloud Data Integration Amazon Aurora Connector August 2021 © Copyright Informatica LLC 2017, 2021 This software and documentation are provided only under a separate license agreement containing restrictions on use and disclosure. No part of this document may be reproduced or transmitted in any form, by any means (electronic, photocopying, recording or otherwise) without prior consent of Informatica LLC. U.S. GOVERNMENT RIGHTS Programs, software, databases, and related documentation and technical data delivered to U.S. Government customers are "commercial computer software" or "commercial technical data" pursuant to the applicable Federal Acquisition Regulation and agency-specific supplemental regulations. As such, the use, duplication, disclosure, modification, and adaptation is subject to the restrictions and license terms set forth in the applicable Government contract, and, to the extent applicable by the terms of the Government contract, the additional rights set forth in FAR 52.227-19, Commercial Computer Software License. Informatica, the Informatica logo, Informatica Cloud, and PowerCenter are trademarks or registered trademarks of Informatica LLC in the United States and many jurisdictions throughout the world. A current list of Informatica trademarks is available on the web at https://www.informatica.com/trademarks.html. Other company and product names may be trade names or trademarks of their respective owners. Portions of this software and/or documentation are subject to copyright held by third parties. Required third party notices are included with the product. See patents at https://www.informatica.com/legal/patents.html. DISCLAIMER: Informatica LLC provides this documentation "as is" without warranty of any kind, either express or implied, including, but not limited to, the implied warranties of noninfringement, merchantability, or use for a particular purpose.