Open Source Database Trends

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1 Open Source Database Trends Rockplace Inc KEUNDONG KIM

2 목차 Company Overviews Open Source Database Trends Case Study AnyDB on Azure

3 COMPANY OVERVIEWS Introduction Overviews Service Portfolio Competency Roadmap

Solid passion of open source as a rock! No.1 Open source company!

4 INTRODUCTION OpenSource PLACE, ROCKPLACE Joy Of OpenSource Customer 樂 Rockplace Service Rock n Roll sprit! Solid passion of open source as a rock! No.1 Open source company! The Joy of Open Source, providing the Ultimate Value Copyright c All right Reserved by 2017 Rockplace Inc.

OVERVIEW OpenSource PLACE, ROCKPLACE Member of Telecommunications Technology Association (Telecommunications Technology association) Member of Korea Open Source Software Association (Korea Open

5 OVERVIEW OpenSource PLACE, ROCKPLACE Member of Telecommunications Technology Association (Telecommunications Technology association) Member of Korea Open Source Software Association (Korea Open Source Software Association) NAME OF COMPANY : BUSINESS TYPE : ROCKPLACE INC. Open Source Consulting, Migration, Implementation & Maintenance NAME OF REPRESENTATIVE : # OF EMPLOYEES : Sou, Dong Shik Employees(2017.7) BUSINESS ITEMS : RedHat Enterprise Linux / RedHat Enterprise Virtualization / OpenStack/ OpenShift, etc. ADDRESS : 7, 8F Yundang Bldg, 844, Eonju-ro, Gangnam-gu, Seoul Copyright c All right Reserved by 2017 Rockplace Inc.

6 SERVICE PORTFOLIO OpenSource PLACE, ROCKPLACE All about open source! Service and support for IT infrastructure based on open source software Red Hat Top Partner in Korea awarded for 5 consecutive years( ) Operating System / Virtualization Red Hat Enterprise Linux/ Red Hat Enterprise Virtualization KVM + Web Application Server Red Hat JBoss Apache / Tomcat Nginx Database MySQL Postgres Plus Advanced Server + MariaDB + MongoDB Redis Performance Tuning HP ALM (LoadRunner)/ SilkPerformer + Microsoft Azure Azure Cloud Azure Stack Platform SQL Server on R (Big Data) Enterprise Agreement Microsoft 365 (+ Office 365) Performance monitoring test Load Runner APM Pharos Cluster S/W (HA) Red Hat Cluster Suite Steeleye Shared File System Red Hat Global File System Distributed File System + Cluster S/W (DB) + + MySQL Cluster (Active-Active) Red Hat Storage, Ceph Cloud Infra Open Stack Platform, Amazon Web Services, Google Cloud Platform Microsoft Azure IT Infra Monitoring Nagios + Migration Tool CloudEndure ZConverter Copyright c All right Reserved by 2017 Rockplace Inc.

7 COMPETENCY ROADMAP OpenSource PLACE, ROCKPLACE Rockplace Core Competency SolidFire Cloud Mongo DB AWS Application Application Infra Platform Infra RHCS RHEL U2L Migration JBoss EAP Apache/ Tomcat Open Source Infra WAS Migratio n MySQL Ent PPAS Zimbra RHEV Sugar CRM Info Bright Maria DB Steel Eye Red Hat OpenStac k Pharos Load Runner Nagios RedHat Storage Open Source Total Solution Google Cloud Platform MS Azure Copyright c All right Reserved by 2017 Rockplace Inc.

8 OPEN SOURCE DATABASE TRENDS DB-Engines Ranking Google Trends

9 Open Source Database Trends DB-Engines Ranking( 2017)

10 Open Source Database Trends DB-Engines chart( 2017)

11 Open Source Database Trends Google NoSQL Trends(2017)

12 CASE STUDY ANY DB ON AZURE Background Service fundamentals Performance Tiers Applications

14 Database Trends Popularity trend of commercial and open source databases By % of new in-house apps will be built on OSS DBs DB-Engines. DB-Engines Ranking. solid IT Gmbh, Accessed 10 May 2017 at < Kerschberg, Ben. How Postgres and Open Source are Disrupting the Market for Database Management Systems. Forbes. 8 Mar 2016

15 Power BI, App Services, Data Factory, Analytics, ML, Cognitive, Bot Azure Relational Database Platform SQL Data Wareho use SQL Database MySQL PREVIEW PostgreSQL PREVIEW Database Services Platform Intelligent: Advisors, Tuning, Monitoring Flexible: On-demand scaling, Resource governance Trusted: HA/DR, Backup/Restore, Security, Audit, Isolation Azure Compute Azure Storage Global Azure with 38 Regions Intelligent // Trusted // Flexible

Azure Database - MySQL & PostgreSQL Managed MySQL database service for app developers Provision in minutes with built-in high availability Predictable performance, inclusive pay-as-you-go pricing

16 Azure Database - MySQL & PostgreSQL Managed MySQL database service for app developers Provision in minutes with built-in high availability Predictable performance, inclusive pay-as-you-go pricing Scale on the fly without application downtime Secured to protect sensitive data at-rest and in-motion Automatic backups and Point-In-Time-Restore for up to 35 days Deep integration with Azure Web Apps

top 10 utilized Azure services in China Based on different managed

17 We re Not Exactly New to MySQL MySQL Database on Azure China Launched in September 2015 No partner-based MySQL PaaS solution in China Among top 10 utilized Azure services in China Based on different managed service architecture New service will replace the Azure China solution

19 Conceptual Model Logical, not bound to server instance Connection endpoint for MySQL server Can create one to many user databases Highly available with automatic failover Pinned to a region Policy scope, e.g. firewall rules, recover y, monitoring and management Azure Azure Database for MySQL

20 Create, Connect and Manage REST API Common solution for access control, identity, deplo Azure Resource yment notifications, metrics, billing Manager Server provisioning and management US West MySQL Server

21 High Availability Enables scale on the fly, server patching, wit hout virtually no app down time! Server provisioning and management US West ServerIP:3306 retry MySQL Server server=server.mysql.database.azure.com

22 Security built in Identity Native authentication Control access Secure SSL connectivity Server firewall rules Protect data Built-in encryption for applicat ion data and backups

Performance Levels Mesured in Compute Units A Compute Unit is a measure of CPU processing throughput Pre-configured with a fixed amount of memory, o ptimized for the Basic and Standard service tiers.

24 Performance Levels Mesured in Compute Units A Compute Unit is a measure of CPU processing throughput Pre-configured with a fixed amount of memory, o ptimized for the Basic and Standard service tiers. 100 Compute Units equate to ~1 full core Ratios may be adjusted to ensure consistent perf ormance across different hardware generations Enables workloads that require high I/O performa nce and lower CPU/RAM to be achieved without having to upgrade to higher SKU

25 Flexible Service Tiers for any Workload Service Tier Intended Use Case For workloads that scale with variable IOP S Compute Units 50, 100 Storage (included) IOPS (included) 50GB Magnetic Media Variable Additional Options Storage Scale up to 1 TB Scale up to 10TB Scale up to 4 TB IOPS NA NA Scale up to 40K IOPS

26 Flexible Service Tiers for any Workload Service Tier Intended Use Case For workloads that scale with variable IOP S For workloads that require on-demand scaling optimized for high throughput with provisioned IOPS Compute Units 50, , 200, 2000 Storage (included) IOPS (included) Additional Options 50GB Magnetic Media Variable 125GB Remote SSD 375 Scales 3:1 (IOPS:GB) Storage Scale up to 10 TB Scale Scale up to 10 TB Scale up to 4 TB IOPS NA Through increasing storage Scale up to 40K IOPS

27 Flexible Service Tiers for any Workload Service Tier Intended Use Case For workloads that scale with variable IOP S For workloads that require on-demand scaling optimized for high throughput with provisioned IOPS For workloads that require on-demand scaling optimized for lowest latency with provisioned IOPS Compute Units 50, , 200, , 200, 2000 Storage (included) 50GB Magnetic Media 125GB Remote SSD 125GB Local SSD IOPS (included) Variable 375 Scales 3:1 (IOPS:GB) Provisioned IOPS Additional Options Storage Scale up to 1 TB Scale up to 10 TB TBD IOPS NA Through increasing storage Provisioned Directly 99.99% SLA fully managed built-in HA online performance scaling

28 Public Preview Service Tier Availability Offers Intended Use Case For workloads that scale with variable IOP S For workloads that require on-demand scaling optimized for high throughput with provisioned IOPS Workloads that require low latency and high performance with large number of concurrent users or multiple databases Compute Units 50, , 200, 400, , 200, 400, 800, 1600, 2000 Storage (included) 50GB Magnetic Media 125GB Remote SSD 125GB Local SSD IOPS (included) Variable 375 Scales 3:1 (IOPS:GB) 1250 Scales 10:1 (IOPS:GB) Additional Options Storage Scale up to TB Scale up to 10 TB Scale up to 4 TB IOPS NA Through increasing storage Scale up to 40K IOPS 99.99% SLA fully managed built-in HA online performance scaling

29 11 Azure regions avai lable today West US, North Central US, East U S, East US2, South Central US, Wes t Europe, North Europe, Japan Wes t, Japan East, East Asia, SE Asia AZURE DATABASE FOR MYSQL REGION AVAILABILITY TODAY More coming soon!

30 Backup & Restore Built-in backup No configuration needed Backup storage included PITR up to 35 days

31 Monitoring, Alerting & Logging Monitor server activity Compute Unit CPU RAM IOPS Alerting based on user settings Error & Query Logs for PostgreSQL Slow Query Log for MySQL

32 User-Configurable Server Parameters Selected server parameters exposed for user configuration Parameters not exposed are those that can impact the performance of the server (eg; innodb_buffer_pool_size) ters-using-cli

33 Mysql.exe & psql.exe in Azure Cloud Shell

36 No need to learn new tools or frameworks Simplify and optimize with the support of all major tools, frameworks, and languages you already use Frameworks Languages

37 Integration with Azure Web Apps

38 Roadmap to GA Increased security Vnet integration Introduction of Premium Performance Tier Higher Compute Unit scaling (up to 2000) Ability to scale up/down between Performance Tiers Read-Replicas Disaster Recovery Much more.

39 Resources Azure service page: PostgreSQL: Azure Database for PostgreSQL MySQL: Azure Database for MySQL Documentation: PostgreSQL: Azure Database for PostgreSQL MySQL: Azure Database for MySQL Discussion forum: PostgreSQL: MSDN, StackOverflow MySQL: MSDN, StackOverflow Feedback forum: PostgreSQL User Voice MySQL: User Voice GitHub repo:

40 THANK YOU

Agenda. AWS Database Services Traditional vs AWS Data services model Amazon RDS Redshift DynamoDB ElastiCache

Agenda. AWS Database Services Traditional vs AWS Data services model Amazon RDS Redshift DynamoDB ElastiCache Databases on AWS 2017 Amazon Web Services, Inc. and its affiliates. All rights served. May not be copied, modified, or distributed in whole or in part without the express consent of Amazon Web Services,