The document discusses deploying MediaWiki on IBM DB2 in the cloud. It describes using RightScale and Amazon EC2 to host a DB2 database server and MediaWiki application server in the cloud. It then provides an overview of cloud computing and discusses database architecture options for the cloud, highlighting features of DB2 that make it suitable for cloud deployments like data partitioning and high availability.
Consolidate MySQL Shards Into Amazon Aurora Using AWS Database Migration Serv...Amazon Web Services
If you’re running a MySQL database at scale, there’s a good chance you’re sharding your database deployment. Sharding is a useful way to increase the scale of your deployment, but it has drawbacks like higher costs, high administration overheard and lower elasticity. It’s harder to grow or shrink a sharded database deployment to match your traffic patterns. In this session, we will discuss and demonstrate how to use AWS Database Migration Service to consolidate multiple MySQL shards into an Amazon Aurora cluster to reduce cost, improve elasticity and make it easier to manage your database.
Learning Objectives:
Learn how to scale your MySQL database at reduced cost and higher elasticity, by consolidating multiple shards into one Amazon Aurora cluster.
Migrating minimal databases with minimal downtime to AWS RDS, Amazon Redshift and Amazon Aurora
Migration of databases to same and different engines and from on premise to cloud
Schema conversion from Oracle and SQL Server to MySQL and Aurora
Amazon Aurora is a MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is disruptive technology in the database space, bringing a new architectural model and distributed systems techniques to provide far higher performance, availability and durability than previously available using conventional monolithic database techniques. In this session, we will do a deep-dive into some of the key innovations behind Amazon Aurora, discuss best practices and configurations, and share early customer experience from the field.
Learn how Amazon Redshift, our fully managed, petabyte-scale data warehouse, can help you quickly and cost-effectively analyze all of your data using your existing business intelligence tools. Get an introduction to how Amazon Redshift uses massively parallel processing, scale-out architecture, and columnar direct-attached storage to minimize I/O time and maximize performance. Learn how you can gain deeper business insights and save money and time by migrating to Amazon Redshift. Take away strategies for migrating from on-premises data warehousing solutions, tuning schema and queries, and utilizing third party solutions.
AWS re:Invent 2016: Workshop: Converting Your Oracle or Microsoft SQL Server ...Amazon Web Services
In this workshop, you migrate a sample sporting event and ticketing database from Oracle or Microsoft SQL Server to Amazon Aurora or Postgre SQL using the AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS). The workshop includes the migration of tables, indexes, procedures, functions, constraints, views, and more. We run SCT on a Amazon EC2 Windows instance--bring a laptop with Remote Desktop (or some other method of connecting to the Windows instance). Ideally, you should be familiar with relational databases, especially Oracle or SQL Server and PostgreSQL or Aurora, to get the most from this session. Additionally, attendees should be familiar with SCT and DMS. Familiarity with SQL Developer and pgAdmin III will be helpful but is not required.
Prerequisites:
- Participants should have an AWS account established and available for use during the workshop.
- Please bring your own laptop.
Scaling on AWS for the First 10 Million Users at Websummit DublinIan Massingham
In this talk from the Dublin Websummit 2014 AWS Technical Evangelist Ian Massingham discusses the techniques that AWS customers can use to create highly scalable infrastructure to support the operation of large scale applications on the AWS cloud.
Includes a walk-through of how you can evolve your architecture as your application becomes more popular and you need to scale up your infrastructure to support increased demand.
Consolidate MySQL Shards Into Amazon Aurora Using AWS Database Migration Serv...Amazon Web Services
If you’re running a MySQL database at scale, there’s a good chance you’re sharding your database deployment. Sharding is a useful way to increase the scale of your deployment, but it has drawbacks like higher costs, high administration overheard and lower elasticity. It’s harder to grow or shrink a sharded database deployment to match your traffic patterns. In this session, we will discuss and demonstrate how to use AWS Database Migration Service to consolidate multiple MySQL shards into an Amazon Aurora cluster to reduce cost, improve elasticity and make it easier to manage your database.
Learning Objectives:
Learn how to scale your MySQL database at reduced cost and higher elasticity, by consolidating multiple shards into one Amazon Aurora cluster.
Migrating minimal databases with minimal downtime to AWS RDS, Amazon Redshift and Amazon Aurora
Migration of databases to same and different engines and from on premise to cloud
Schema conversion from Oracle and SQL Server to MySQL and Aurora
Amazon Aurora is a MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is disruptive technology in the database space, bringing a new architectural model and distributed systems techniques to provide far higher performance, availability and durability than previously available using conventional monolithic database techniques. In this session, we will do a deep-dive into some of the key innovations behind Amazon Aurora, discuss best practices and configurations, and share early customer experience from the field.
Learn how Amazon Redshift, our fully managed, petabyte-scale data warehouse, can help you quickly and cost-effectively analyze all of your data using your existing business intelligence tools. Get an introduction to how Amazon Redshift uses massively parallel processing, scale-out architecture, and columnar direct-attached storage to minimize I/O time and maximize performance. Learn how you can gain deeper business insights and save money and time by migrating to Amazon Redshift. Take away strategies for migrating from on-premises data warehousing solutions, tuning schema and queries, and utilizing third party solutions.
AWS re:Invent 2016: Workshop: Converting Your Oracle or Microsoft SQL Server ...Amazon Web Services
In this workshop, you migrate a sample sporting event and ticketing database from Oracle or Microsoft SQL Server to Amazon Aurora or Postgre SQL using the AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS). The workshop includes the migration of tables, indexes, procedures, functions, constraints, views, and more. We run SCT on a Amazon EC2 Windows instance--bring a laptop with Remote Desktop (or some other method of connecting to the Windows instance). Ideally, you should be familiar with relational databases, especially Oracle or SQL Server and PostgreSQL or Aurora, to get the most from this session. Additionally, attendees should be familiar with SCT and DMS. Familiarity with SQL Developer and pgAdmin III will be helpful but is not required.
Prerequisites:
- Participants should have an AWS account established and available for use during the workshop.
- Please bring your own laptop.
Scaling on AWS for the First 10 Million Users at Websummit DublinIan Massingham
In this talk from the Dublin Websummit 2014 AWS Technical Evangelist Ian Massingham discusses the techniques that AWS customers can use to create highly scalable infrastructure to support the operation of large scale applications on the AWS cloud.
Includes a walk-through of how you can evolve your architecture as your application becomes more popular and you need to scale up your infrastructure to support increased demand.
(DAT303) Oracle on AWS and Amazon RDS: Secure, Fast, and ScalableAmazon Web Services
AWS and Amazon RDS provide advanced features and architectures that enable graceful migration, high performance, elastic scaling, and high availability for Oracle database workloads. Learn best practices for realizing the benefits of the cloud while reducing costs, by running Oracle on AWS in a variety of single- and multi-instance topologies. This session teaches you to take advantage of features unique to AWS and Amazon RDS to free your databases from the confines of the conventional data center.
High performance Redis is popular among developers for its incredible performance, versatility and simplicity. The powerful combination of low cost memory and high performance Redis brings to life new next generation analytic uses - such as simultaneous real time transaction and analytics processing. With Redis Labs' RLEC Flash on AWS SSD instances, you can get fantastic performance at up to 70% lower costs. Join this session to learn how next generation Flash from leading memory provider Intel has made significant strides in performance while retaining its cost advantage to memory. Using a combination of AWS' powerful SSD instances, and Redis Labs' RLEC Flash, you can achieve up to 3M ops/sec at sub millisecond latencies, with a combination of RAM and Flash. The session will also feature customer use cases from a large university, a large customer engagement company and a pioneer of online Flash sales. Session sponsored by Redis Labs.
It’s been an exciting year for Amazon Aurora, the MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. In this deep dive session, we’ll discuss best practices and explore new features, include high availability options and new integrations with AWS services. We’ll also discuss the recently-announced Aurora with PostgreSQL compatibility.
Database Migration: Simple, Cross-Engine and Cross-Platform Migrations with M...Amazon Web Services
Learn about the new AWS Database Migration Service, which helps you migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases. We discuss homogeneous (e.g. Oracle-to-Oracle, PostgreSQL-to-PostgreSQL, etc.) and heterogeneous (e.g. Oracle to Aurora, SQL Server to MariaDB) database migrations. We also talk about the new AWS Schema Conversion Tool that saves you development time when migrating your Oracle and SQL Server database schemas, including PL/SQL and T-SQL procedural code, to their MySQL, MariaDB and Aurora equivalents.
Best Practices for Migrating your Data Warehouse to Amazon RedshiftAmazon Web Services
You can gain substantially more business insights and save costs by migrating your existing data warehouse to Amazon Redshift. This session will cover the key benefits of migrating to Amazon Redshift, migration strategies, and tools and resources that can help you in the process.
Data is as critical as ever. Storage costs are lower but we have more and more data to store. This is where Microsoft Azure Data Storage solutions come in. This slide deck provides an overview of the most important data storage options available in Azure.
Note: I did not create this deck. I instead combined slides from the Microsoft Azure-Readiness/DevCamp repo on GitHub (https://github.com/Azure-Readiness/DevCamp) while adding additional material from a slide deck of David Chappell's.
This talk was given at Cloud Camp Kitchener 2015.
Advanced data migration techniques for Amazon RDSTom Laszewski
Migrating on premise data from Oracle and MySQL Databases to AWS Oracle and MySQL RDS. These techniques will work for AWS EC2 as well. Scripts included in the slides.
Strategic Uses for Cost Efficient Long-Term Cloud StorageAmazon Web Services
Compared to storing long-term datasets on-premises, archiving in the cloud is a smart alternative whether you’re looking for an active archive solution, tape replacement, or to fulfill a compliance requirement. Learn how AWS customers are simplifying their archiving strategy and meeting compliance needs using Amazon Glacier. Hear how customers have evolved their backup and disaster recovery architectures and replaced tape solutions by turning to AWS for a more cost efficient, durable and agile solution. We will showcase Sony DADC's active archive deployment on Glacier and demo how some of our financial service customers have set up compliant archives to meet their regulatory objectives.
Day 3 - AWS MySQL Relational Database Service Best Practices for Performance ...Amazon Web Services
Amazon RDS makes it easy to set up, operate, and scale, relational databases in the cloud. Amazon RDS for MySQL supports applications that require up to tens of thousands of IOPS, and allows you to scale on demand without administrative complexity. In this webinar, we will discuss best practices for getting the most out of Amazon RDS for MySQL, as well as techniques for migrating data to and from the service.
Reasons to attend:
- Learn the details of Master Slave dual AZ configuration.
- Learn about cross region replication.
- Learn about Provisioned IOPS and tips on getting the most from your Amazon RDS MySQL Service.
Database Migration – Simple, Cross-Engine and Cross-Platform MigrationAmazon Web Services
Learn about the new AWS Database Migration Service, which helps you migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases.
In this session, you get an overview of Amazon Redshift, a fast, fully-managed, petabyte-scale data warehouse service. We'll cover how Amazon Redshift uses columnar technology, optimized hardware, and massively parallel processing to deliver fast query performance on data sets ranging in size from hundreds of gigabytes to a petabyte or more. We'll also discuss new features, architecture best practices, and share how customers are using Amazon Redshift for their Big Data workloads.
Streaming Data Analytics with Amazon Redshift and Kinesis FirehoseAmazon Web Services
Evolving your analytics from batch processing to real-time processing can have a major business impact, but ingesting streaming data into your data warehouse requires building complex streaming data pipelines. Amazon Kinesis Firehose solves this problem by making it easy to transform and load streaming data into Amazon Redshift so that you can use existing analytics and business intelligence tools to extract information in near real-time and respond promptly. In this session, we will dive deep using Amazon Kinesis Firehose to load streaming data into Amazon Redshift reliably, scalably, and cost-effectively.
El almacenamiento en la nube es un componente crítico de la informática en la nube, que guarda la información que utilizan las aplicaciones. El análisis de big data, los almacenes de datos, el Internet de las cosas, las bases de datos y las aplicaciones de backup y archivado dependen de algún tipo de arquitectura de almacenamiento de datos. El almacenamiento en la nube, por lo general, es más fiable, escalable y seguro que los sistemas de almacenamiento en las instalaciones tradicionales.
Day 2 - Amazon RDS - Letting AWS run your Low Admin, High Performance DatabaseAmazon Web Services
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and re-sizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. In this webinar we review the different types of Amazon RDS available and how to move your existing databases to Amazon RDS with minimum disruption.
Reasons to attend:
- Learn how Amazon RDS can reduce the overhead of running high performance mission critical databases.
- Learn how to migrate your existing database workloads into Amazon RDS running on the AWS Cloud.
- Learn how to scale up and scale down your Amazon RDS instance and save money with reserved instances.
Power your apps with a secure, scalable and durable back end on Amazon Web Service. Whether you are looking to minimize your operational overhead or to maintain tight control, AWS has a spectrum of database options for you to choose the right architecture for your needs. Learn about your options and how to choose the right architecture for your apps.
(DAT303) Oracle on AWS and Amazon RDS: Secure, Fast, and ScalableAmazon Web Services
AWS and Amazon RDS provide advanced features and architectures that enable graceful migration, high performance, elastic scaling, and high availability for Oracle database workloads. Learn best practices for realizing the benefits of the cloud while reducing costs, by running Oracle on AWS in a variety of single- and multi-instance topologies. This session teaches you to take advantage of features unique to AWS and Amazon RDS to free your databases from the confines of the conventional data center.
High performance Redis is popular among developers for its incredible performance, versatility and simplicity. The powerful combination of low cost memory and high performance Redis brings to life new next generation analytic uses - such as simultaneous real time transaction and analytics processing. With Redis Labs' RLEC Flash on AWS SSD instances, you can get fantastic performance at up to 70% lower costs. Join this session to learn how next generation Flash from leading memory provider Intel has made significant strides in performance while retaining its cost advantage to memory. Using a combination of AWS' powerful SSD instances, and Redis Labs' RLEC Flash, you can achieve up to 3M ops/sec at sub millisecond latencies, with a combination of RAM and Flash. The session will also feature customer use cases from a large university, a large customer engagement company and a pioneer of online Flash sales. Session sponsored by Redis Labs.
It’s been an exciting year for Amazon Aurora, the MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. In this deep dive session, we’ll discuss best practices and explore new features, include high availability options and new integrations with AWS services. We’ll also discuss the recently-announced Aurora with PostgreSQL compatibility.
Database Migration: Simple, Cross-Engine and Cross-Platform Migrations with M...Amazon Web Services
Learn about the new AWS Database Migration Service, which helps you migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases. We discuss homogeneous (e.g. Oracle-to-Oracle, PostgreSQL-to-PostgreSQL, etc.) and heterogeneous (e.g. Oracle to Aurora, SQL Server to MariaDB) database migrations. We also talk about the new AWS Schema Conversion Tool that saves you development time when migrating your Oracle and SQL Server database schemas, including PL/SQL and T-SQL procedural code, to their MySQL, MariaDB and Aurora equivalents.
Best Practices for Migrating your Data Warehouse to Amazon RedshiftAmazon Web Services
You can gain substantially more business insights and save costs by migrating your existing data warehouse to Amazon Redshift. This session will cover the key benefits of migrating to Amazon Redshift, migration strategies, and tools and resources that can help you in the process.
Data is as critical as ever. Storage costs are lower but we have more and more data to store. This is where Microsoft Azure Data Storage solutions come in. This slide deck provides an overview of the most important data storage options available in Azure.
Note: I did not create this deck. I instead combined slides from the Microsoft Azure-Readiness/DevCamp repo on GitHub (https://github.com/Azure-Readiness/DevCamp) while adding additional material from a slide deck of David Chappell's.
This talk was given at Cloud Camp Kitchener 2015.
Advanced data migration techniques for Amazon RDSTom Laszewski
Migrating on premise data from Oracle and MySQL Databases to AWS Oracle and MySQL RDS. These techniques will work for AWS EC2 as well. Scripts included in the slides.
Strategic Uses for Cost Efficient Long-Term Cloud StorageAmazon Web Services
Compared to storing long-term datasets on-premises, archiving in the cloud is a smart alternative whether you’re looking for an active archive solution, tape replacement, or to fulfill a compliance requirement. Learn how AWS customers are simplifying their archiving strategy and meeting compliance needs using Amazon Glacier. Hear how customers have evolved their backup and disaster recovery architectures and replaced tape solutions by turning to AWS for a more cost efficient, durable and agile solution. We will showcase Sony DADC's active archive deployment on Glacier and demo how some of our financial service customers have set up compliant archives to meet their regulatory objectives.
Day 3 - AWS MySQL Relational Database Service Best Practices for Performance ...Amazon Web Services
Amazon RDS makes it easy to set up, operate, and scale, relational databases in the cloud. Amazon RDS for MySQL supports applications that require up to tens of thousands of IOPS, and allows you to scale on demand without administrative complexity. In this webinar, we will discuss best practices for getting the most out of Amazon RDS for MySQL, as well as techniques for migrating data to and from the service.
Reasons to attend:
- Learn the details of Master Slave dual AZ configuration.
- Learn about cross region replication.
- Learn about Provisioned IOPS and tips on getting the most from your Amazon RDS MySQL Service.
Database Migration – Simple, Cross-Engine and Cross-Platform MigrationAmazon Web Services
Learn about the new AWS Database Migration Service, which helps you migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases.
In this session, you get an overview of Amazon Redshift, a fast, fully-managed, petabyte-scale data warehouse service. We'll cover how Amazon Redshift uses columnar technology, optimized hardware, and massively parallel processing to deliver fast query performance on data sets ranging in size from hundreds of gigabytes to a petabyte or more. We'll also discuss new features, architecture best practices, and share how customers are using Amazon Redshift for their Big Data workloads.
Streaming Data Analytics with Amazon Redshift and Kinesis FirehoseAmazon Web Services
Evolving your analytics from batch processing to real-time processing can have a major business impact, but ingesting streaming data into your data warehouse requires building complex streaming data pipelines. Amazon Kinesis Firehose solves this problem by making it easy to transform and load streaming data into Amazon Redshift so that you can use existing analytics and business intelligence tools to extract information in near real-time and respond promptly. In this session, we will dive deep using Amazon Kinesis Firehose to load streaming data into Amazon Redshift reliably, scalably, and cost-effectively.
El almacenamiento en la nube es un componente crítico de la informática en la nube, que guarda la información que utilizan las aplicaciones. El análisis de big data, los almacenes de datos, el Internet de las cosas, las bases de datos y las aplicaciones de backup y archivado dependen de algún tipo de arquitectura de almacenamiento de datos. El almacenamiento en la nube, por lo general, es más fiable, escalable y seguro que los sistemas de almacenamiento en las instalaciones tradicionales.
Day 2 - Amazon RDS - Letting AWS run your Low Admin, High Performance DatabaseAmazon Web Services
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and re-sizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. In this webinar we review the different types of Amazon RDS available and how to move your existing databases to Amazon RDS with minimum disruption.
Reasons to attend:
- Learn how Amazon RDS can reduce the overhead of running high performance mission critical databases.
- Learn how to migrate your existing database workloads into Amazon RDS running on the AWS Cloud.
- Learn how to scale up and scale down your Amazon RDS instance and save money with reserved instances.
Power your apps with a secure, scalable and durable back end on Amazon Web Service. Whether you are looking to minimize your operational overhead or to maintain tight control, AWS has a spectrum of database options for you to choose the right architecture for your needs. Learn about your options and how to choose the right architecture for your apps.
AWS ofrece una gran variedad de servicios de base de datos que se adaptan a los requisitos de su aplicación. Los servicios de bases de datos están totalmente administrados y se pueden implementar en cuestión de minutos con tan solo unos clics. Los servicios de AWS incluyen Amazon Relational Database Service (Amazon RDS), compatible con 6 motores de bases de datos comunes, Amazon Aurora, base de datos relacional compatible con MySQL con un desempeño 5 veces superior, Amazon DynamoDB, servicio de bases de datos NoSQL rápido y flexible, Amazon Redshift, almacén de datos a escala de petabytes, y Amazon Elasticache, servicio de caché en memoria compatible con Memcached y Redis. AWS también proporciona AWS Database Migration Service, un servicio que permite migrar las bases de datos a la nube de AWS de forma sencilla y rentable.
Getting Started with Managed Database Services on AWS - AWS Summit Tel Aviv 2017Amazon Web Services
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We will cover how each service might help support your application and how to get started.
New VMware Continuent 5.0 - A powerful and cost-efficient Oracle GoldenGate a...Continuent
VMware Continuent 5.0 is a complete data replication solution that includes all the functionality you need at one low price. In this webinar, you’ll see how VMware Continuent delivers:
- Migration. Replicate from an old version of Oracle, often running on non-Linux platform (Windows, AIX, HP-UX, Solaris), to a new version of Oracle (often running in Linux). VMware Continuent supports heterogeneous environments.
- On-boarding to Cloud and Service Providers' data centers. Replicate from an old version of Oracle, often running on non-Linux platform, into a virtual or cloud-hosted environment. VMware Continuent is “Cloud-ready”.
- Replication into Analytics (Hadoop, HP Vertica, Amazon Redshift). VMware Continuent offers real-time data loading into analytics and Big Data. This often includes Oracle running on Linux replicating into Hadoop/Vertica analytics.
- Replication to MySQL (and PostgreSQL). There is a lot of interest by customers to save money with open source databases. VMware Continuent supports two-way replication between Oracle and MySQL, and allows off-loading workloads to cost-saving MySQL databases. VMware Continuent will soon allow migration from Oracle to PostgreSQL.
Don’t miss this opportunity to learn about the alternative to Oracle’s tools!
Dear Student,
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www.etraining.guru
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Scaling on AWS for the First 10 Million Users at Websummit DublinAmazon Web Services
In this talk from the Dublin Websummit 2014 AWS Technical Evangelist Ian Massingham discusses the techniques that AWS customers can use to create highly scalable infrastructure to support the operation of large scale applications on the AWS cloud.
Includes a walk-through of how you can evolve your architecture as your application becomes more popular and you need to scale up your infrastructure to support increased demand.
Many Oracle pros are looking to take their data warehousing strategy to the cloud, but have been waiting for a cloud solution that offers both compatibility and ease of use. Well, the wait is over - with IBM dashDB, you can leverage your existing Oracle (as well as SQL) application skills, and get all the cost, scalability and performance advantages of a fully managed data warehousing service in the IBM Cloud.
Amazon Web Services ofrece un amplio conjunto de productos globales basados en la nube, incluidas aplicaciones de informática, almacenamiento, bases de datos, análisis, redes, móviles, herramientas para desarrolladores, herramientas de administración, IoT, seguridad y empresariales.
Amazon Web Services ofrece un amplio conjunto de productos globales basados en la nube, incluidas aplicaciones de informática, almacenamiento, bases de datos, análisis, redes, móviles, herramientas para desarrolladores, herramientas de administración, IoT, seguridad y empresariales.
RDS for Oracle and SQL Server - November 2016 Webinar SeriesAmazon Web Services
Amazon RDS provides advanced features and architectures that enable graceful migration, high performance, elastic scaling, and high availability for Oracle and Microsoft SQL Server databases. With Amazon RDS, you can deploy multiple editions of Oracle and SQL Server Database in minutes with cost-efficient and re-sizable hardware capacity.
This webinar teaches you to take advantage of features unique to Amazon RDS to improve availability and simplify management. You will also learn how easy it is to migrate your Oracle and SQL Server database to RDS using AWS Database Migration Service.
Learning Objectives:
• Advantages of using RDS for your Oracle and SQL Server Databases
• Features, options and capabilities of Amazon RDS for Oracle and Amazon RDS for SQL Server
• Cost and licensing options
• Getting started with RDS for Oracle, how to launch and configure the database instance
• Migrating your on-premises database to RDS for Oracle using AWS Database Migration Service
• Getting started with RDS for SQL Server, how to launch and configure the database instance
• Migrating your on-premises database to RDS for SQL Server using AWS Database Migration Service
• Advanced topics: Backup, High-availability, Point-in-time restoration, Database cloning
Over 60 CIOs and Tech Leaders attended the #GoCloudWebinar on “AGILE INFRASTRUCTURE WITH WINDOWS AZURE” hosted by Aditi Technologies and Microsoft. Our CTO, Wade Wegner and Microsoft Azure solution specialist, Dina Frandsen discussed how Windows Azure Infrastructure Services (WAIS) can help organizations stay agile and what Windows Azure technology environment looks like and what it means to your organization.
We Explored
1. How IT teams can execute fast and stay lean with WAIS – A case study
2. Which enterprise workloads are best suited of WAIS migration
3. What are the best practices on how to plan, execute, deploy WAIS
Download this slidedeck and Sign up with the below link for viewing the Webinar - http://www.aditi.com/webevent/Agile_Infrastructure_with_WAIS/
AWS 201 - A Walk through the AWS Cloud: App Hosting on AWS - Games, Apps and ...Amazon Web Services
Playfish, Gumi, and Halfbrick are three of many gaming companies on AWS. Pinterest, Netflix and Flipboard host web and mobile applications using the AWS Cloud. What are the best practices to build an application to take advantage of the benefits of AWS? Learn about these approaches and how customers have built highly scalable, durable and reliable infrastructures to host their internet-facing businesses on AWS. Attend this complimentary webinar to learn more.
The cloud is all the rage. Does it live up to its hype? What are the benefits of the cloud? Join me as I discuss the reasons so many companies are moving to the cloud and demo how to get up and running with a VM (IaaS) and a database (PaaS) in Azure. See why the ability to scale easily, the quickness that you can create a VM, and the built-in redundancy are just some of the reasons that moving to the cloud a “no brainer”. And if you have an on-prem datacenter, learn how to get out of the air-conditioning business!
Similar to Deploying MediaWiki On IBM DB2 in The Cloud Presentation (20)
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
6. Google Rack One server DRAM: 16GB, 100ns, 20GB/s Disk: 2TB, 10ms, 200MB/s Local rack (80 servers) DRAM: 1TB, 300us, 100MB/s Disk: 160TB, 11ms, 100MB/s Cluster (30+ racks) DRAM: 30TB, 500us, 10MB/s Disk: 4.80PB, 12ms, 10MB/s
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12. Database Architecture in the Cloud load balancer to create a single system image for the cluster
13. No Oracle RAC in Cloud data No “shared disk” in the Cloud All servers must have access to data No low latency communications in the Cloud Oracle RAC does not work in the Cloud
14. Master/Slave Replication in Cloud data Read requests go to slaves Write requests go to master data data Master replicates data to slaves No guarantee of data integrity Routing logic in the application
15. DB2 and GRIDSCALE Load Balancing in Cloud data Read requests are balanced across cluster data data No data integrity issues transparent to the application Write requests go to ALL servers GRIDSCALE DB2 load balancer
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18. DB2 High Availability Disaster Recovery in Cloud Application sends a read Database GRIDSCALE Servers Applications DB2 DB2
19. DB2 High Availability Disaster Recovery in Cloud Database Applications GRIDSCALE Servers Database server fails; read is automatically re-routed DB2 DB2
20. DB2 High Availability Disaster Recovery in Cloud Databases Applications GRIDSCALE Servers INSERT INTO EMPLOYEE (ID, NAME, SALARY) VALUES (100, ‘Smith’, 35000); UPDATE EMPLOYEE SET … GRIDSCALE Recovery Log When the database server is brought back online, GRIDSCALE automatically re-synchronizes it while the application continues DB2 DB2