This document summarizes announcements from AWS re:Invent about new and updated AWS storage, compute, database, analytics, networking and security services. Key announcements include new storage classes for Amazon S3 Glacier Deep Archive and Amazon EFS Infrequent Access, performance increases for Amazon EBS volumes, and new managed database services Amazon Timestream and Amazon Quantum Ledger Database. New compute instances like Amazon EC2 C5n and P3dn were also announced.
Amazon EC2 provides resizable compute capacity in the cloud, making web scale computing easier. It offers a wide variety of compute instances and is well suited to every imaginable use case, from static websites to on-demand, high-performance supercomputing--all with flexible pricing options. In this session, learn about the latest Amazon EC2 features and capabilities, including Approved instance families, the differences among their hardware types and capabilities, and their optimal use cases. Also discover best practices for optimizing your expenditure and getting the most benefit from your EC2 instances while saving time and money.
Transform Your Organization with Real Real-Time MonitoringAmazon Web Services
Acquia, a Drupal web experience provider, faced a common growing pain: with its expanding customer base and AWS workloads came numerous monitoring systems and scattered data from disparate sources and teams. The company knew it needed better insight into its customers’ resources and quicker access to data it could trust. Join our webinar to see why Acquia turned to SignalFx for real real-time monitoring for its AWS environment, enabling its entire organization with operational insights, from development all the way through sales. Learn how Acquia consolidated the number of monitoring services used, improved the quality of its customer services, and saved more than half a million dollars per year in costs.
This document provides an overview of AWS databases and analytics services. It discusses AWS's broad portfolio of purpose-built databases including relational databases like RDS and Aurora, non-relational databases like DynamoDB and Neptune, data lakes with S3 and Glue, data movement services, and analytics services like Redshift, EMR, and Athena. It also covers key concepts around relational and non-relational data models and provides examples of common use cases for different database types.
Introduction to the AWS Shared Security Responsibility Model and some of the technical features and security processes that you can take advantage of to ensure that you applications are more secure in the AWS Cloud.
Best Practices for Running Oracle Databases on Amazon RDS (DAT317) - AWS re:I...Amazon Web Services
Amazon Relational Database Service (Amazon RDS) continues to be a popular choice for Oracle DBAs moving new and legacy workloads to the cloud. In this session, we discuss how Amazon RDS for Oracle helps DBAs focus their time where it matters most. We cover recent RDS Oracle features, and we go deep on key functionality that enables license optimization, performance, and high availability for Oracle databases. We also hear directly from an AWS customer about their journey to Amazon RDS and the best practices that helped make their move successful.
What's New in Amazon Relational Database Service (DAT203) - AWS re:Invent 2018Amazon Web Services
Amazon Relational Database Service (Amazon RDS) is a fully managed relational database service that enables you to launch an optimally configured, secure, and highly available database with just a few clicks. It manages time-consuming database administration tasks, freeing you to focus on your applications and business. We review the capabilities of the service and review the latest available featurese.
Deep Dive on Amazon Elastic Block Storage (Amazon EBS) (STG310-R1) - AWS re:I...Amazon Web Services
In this session, we explore the persistent local disk storage service for Amazon EC2 and its targeted use cases. Learn about Amazon EBS features and benefits, how to identify applications that are appropriate to use with Amazon EBS, and details about its performance and security models. The target audience is security administrators, application developers, application owners, and infrastructure operations personnel who build or operate block-based applications or SANs.
Amazon EC2 provides resizable compute capacity in the cloud, making web scale computing easier. It offers a wide variety of compute instances and is well suited to every imaginable use case, from static websites to on-demand, high-performance supercomputing--all with flexible pricing options. In this session, learn about the latest Amazon EC2 features and capabilities, including Approved instance families, the differences among their hardware types and capabilities, and their optimal use cases. Also discover best practices for optimizing your expenditure and getting the most benefit from your EC2 instances while saving time and money.
Transform Your Organization with Real Real-Time MonitoringAmazon Web Services
Acquia, a Drupal web experience provider, faced a common growing pain: with its expanding customer base and AWS workloads came numerous monitoring systems and scattered data from disparate sources and teams. The company knew it needed better insight into its customers’ resources and quicker access to data it could trust. Join our webinar to see why Acquia turned to SignalFx for real real-time monitoring for its AWS environment, enabling its entire organization with operational insights, from development all the way through sales. Learn how Acquia consolidated the number of monitoring services used, improved the quality of its customer services, and saved more than half a million dollars per year in costs.
This document provides an overview of AWS databases and analytics services. It discusses AWS's broad portfolio of purpose-built databases including relational databases like RDS and Aurora, non-relational databases like DynamoDB and Neptune, data lakes with S3 and Glue, data movement services, and analytics services like Redshift, EMR, and Athena. It also covers key concepts around relational and non-relational data models and provides examples of common use cases for different database types.
Introduction to the AWS Shared Security Responsibility Model and some of the technical features and security processes that you can take advantage of to ensure that you applications are more secure in the AWS Cloud.
Best Practices for Running Oracle Databases on Amazon RDS (DAT317) - AWS re:I...Amazon Web Services
Amazon Relational Database Service (Amazon RDS) continues to be a popular choice for Oracle DBAs moving new and legacy workloads to the cloud. In this session, we discuss how Amazon RDS for Oracle helps DBAs focus their time where it matters most. We cover recent RDS Oracle features, and we go deep on key functionality that enables license optimization, performance, and high availability for Oracle databases. We also hear directly from an AWS customer about their journey to Amazon RDS and the best practices that helped make their move successful.
What's New in Amazon Relational Database Service (DAT203) - AWS re:Invent 2018Amazon Web Services
Amazon Relational Database Service (Amazon RDS) is a fully managed relational database service that enables you to launch an optimally configured, secure, and highly available database with just a few clicks. It manages time-consuming database administration tasks, freeing you to focus on your applications and business. We review the capabilities of the service and review the latest available featurese.
Deep Dive on Amazon Elastic Block Storage (Amazon EBS) (STG310-R1) - AWS re:I...Amazon Web Services
In this session, we explore the persistent local disk storage service for Amazon EC2 and its targeted use cases. Learn about Amazon EBS features and benefits, how to identify applications that are appropriate to use with Amazon EBS, and details about its performance and security models. The target audience is security administrators, application developers, application owners, and infrastructure operations personnel who build or operate block-based applications or SANs.
The document provides an overview of Amazon Aurora, a managed relational database service from AWS. Some key points:
- Aurora is optimized for high performance and availability and is compatible with MySQL and PostgreSQL. It uses a distributed, fault-tolerant storage system and automatically handles administrative tasks.
- Aurora leverages other AWS services like Lambda, S3, IAM and CloudWatch. Its scale-out architecture provides high throughput and its asynchronous replication enables quick failover.
- Performance monitoring tools like Performance Insights help users analyze database load and identify bottlenecks. Recent innovations improve availability further with features like zero downtime patching and database cloning.
The document provides an overview of Amazon Relational Database Service (Amazon RDS) and how it can be used to manage relational databases in the AWS cloud. It discusses the various engines supported by Amazon RDS, benefits of using Amazon RDS such as automated provisioning and high availability, factors to consider in choosing an Amazon RDS engine and instance type, storage options, and methods for ensuring database security, backups, and monitoring performance.
Automating Backup and Archiving on AWS with Commvault (STG358) - AWS re:Inven...Amazon Web Services
Are you planning to utilize just one data management platform to move, manage, and use data across on-premises and AWS Cloud environments? Commvault, an AWS Partner Network (APN) Advanced and Storage Competency Technology Partner, offers comprehensive data management for managing data across files, applications, databases, hypervisors, and clouds. In this chalk talk, we dive deep on how Commvault enables you to migrate onsite backup data onto Amazon S3 to reduce your hardware footprint and improve recoverability; implement data tiering and archive data in Amazon Glacier for long-term retention and compliance; and perform snapshot-based protection and recovery for applications running on Amazon EC2.
Migrating Your Oracle & SQL Server Databases to Amazon Aurora (DAT318) - AWS ...Amazon Web Services
Organizations today are looking to free themselves from the constraints of on-premises commercial databases and leverage the power of cloud-native and open-source systems. Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database that is built for the cloud, with the speed, reliability, and availability of commercial databases at one-tenth the cost. In this session, we provide an overview of Aurora and its features. We talk about the latest advances in migration tooling and automation, and we explain how many of the common legacy features of Oracle and SQL Server map to modern cloud variants. We also hear from Dow Jones about its migration journey to the cloud.
Deep Dive on Amazon EC2 Accelerated Computing - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Technical understanding of AWS' offerings for GPU-based and FPGA-based accelerated computing
- Technical understanding of which Amazon EC2 Accelerated Computing services are ideal for running deep learning training and inference, advanced graphics applications, high performance computing, and reconfigurable computing
- What are the technical advantages of using Amazon EC2 Accelerated Computing services to run ML/DL and HPC workloads in the cloud
0 best practices for architecting for the cloud
1. Enable Scalability
2. Use Disposable Resources
3. Automate Your Environment
4. Loosely Couple Your Components
5. Design Services, Not Servers
6. Choose the Right Database Solutions
7. Avoid Single Points of Failure
8. Optimize for Cost
9. Use Caching
10. Secure Your Infrastructure Everywhere
Speaker: Anson Shen
Accelerate Database Development and Testing with Amazon Aurora (DAT313) - AWS...Amazon Web Services
Build faster, more scalable database applications with Amazon Aurora, a MySQL- and PostgreSQL-compatible relational database built for the cloud. We cover Aurora Serverless, which automatically scales your database up and down to meet demand; Fast Database Cloning, which makes data instantly available for application development; Backtrack, which rolls back your database between test runs; and Performance Insights, which helps assess the load on your database and optimize your SQL queries.
Deep Dive on PostgreSQL Databases on Amazon RDS (DAT324) - AWS re:Invent 2018Amazon Web Services
In this session, we provide an overview of the PostgreSQL options available on AWS, and do a deep dive on Amazon Relational Database Service (Amazon RDS) for PostgreSQL, a fully managed PostgreSQL service, and Amazon Aurora, a PostgreSQL-compatible database with up to 3x the performance of standard PostgreSQL. Learn about the features, functionality, and many innovations in Amazon RDS and Aurora, which give you the background to choose the right service to solve different technical challenges, and the knowledge to easily move between services as your requirements change over time.
Optimizing Amazon EBS for Performance (CMP317-R2) - AWS re:Invent 2018Amazon Web Services
Key techniques and practices while using Amazon EBS can help push performance and optimize spend. In this session, learn how to optimize storage performance and costs for Amazon EBS using tools such as Amazon CloudWatch, AWS Trusted Advisor, and third-party tools such as Cloudability.
Introducing Amazon Aurora with PostgreSQL Compatibility - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about optimizing relational databases for the cloud
- Learn about Amazon Aurora scalability and high availability
- Learn about Amazon Aurora compatibility with PostgreSQL
The document summarizes an AWS event in London. It introduces Ian Massingham as the lead for AWS technical and developer evangelism. It highlights that feedback is important to AWS and to provide it on Twitter with the hashtags #AWSomeDay and #AWS. It then provides an introduction to AWS, noting that AWS has millions of active customers per month, the largest number of startup and enterprise customers, and the broadest ecosystem of independent software vendors. It discusses how cloud computing has become the new normal and how companies of all sizes can move faster. It outlines the key components of agility available on AWS and closes by providing information on how to learn more about AWS.
This document discusses big data analytics and architectural principles for building big data solutions. It covers collecting and storing data from various sources, processing and analyzing data using services like Amazon Kinesis, Redshift, EMR and Athena, and choosing the right tools based on factors like data structure, access patterns, and latency requirements. Key principles emphasized include building decoupled systems, leveraging managed services, using event-driven architectures, and focusing on cost efficiency.
The document summarizes announcements from AWS re:Invent about new and updated AWS services. It describes new EC2 instance types, updates to compute, database, developer tools, machine learning, IoT, marketplace, networking, security, and storage services. Key announcements include new EC2 Graviton processor instances, AWS Step Functions integration, DynamoDB transactions, Amazon Timestream, AWS Global Accelerator, AWS Security Hub, and Amazon S3 storage class updates. The event included sessions on these topics along with networking and pizza.
How to Bring Microsoft Apps to AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how AWS can help you to improve performance, increase availability, and improve the security posture for your Microsoft workloads
- Learn best practices to ensure maximum performance and availability for your Microsoft workloads while migrating to the AWS Cloud
- Learn about Microsoft on AWS Licensing Options
by Darin Briskman, Technical Evangelist, AWS
Oracle RDBMS is the most widely used of the commercial relational databases. We’ll look at how to run Oracle on the AWS Cloud, with examples of organizations using it.
A closer look at the MySQL and PostgreSQL compatible relational database built for the cloud that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. We’ll explore how Aurora uses the AWS cloud to provide high reliability, high durability, and high throughput.
Amazon EC2 Instances, Featuring Performance Optimisation Best PracticesAmazon Web Services
This document provides an overview of Amazon EC2. It discusses the different types of EC2 instances optimized for various workloads like compute, memory, storage and graphics. It also covers key EC2 services like Elastic Block Store, Virtual Private Cloud, Placement Groups, Elastic Load Balancing and Auto Scaling. The document reviews EC2 purchasing options including On-Demand, Reserved and Spot instances. It emphasizes optimizing costs by combining these options based on workload requirements.
The document discusses various backup and archival strategies using AWS services like Amazon S3, EBS, Glacier, and Snowball. It provides examples of using S3 lifecycle policies to transition data between storage tiers, taking EBS snapshots for EC2 instance backups, and using Snowball for large-scale data transfers to the cloud. Backup and archival solutions can provide durability, scalability, cost savings, and reduce risks compared to on-premises options.
Deep Dive on Amazon Elastic File System (Amazon EFS) (STG301-R1) - AWS re:Inv...Amazon Web Services
In this session, we explore the world's first cloud-scale file system and its targeted use cases. Learn about Amazon Elastic File System (Amazon EFS), its features and benefits, how to identify applications that are appropriate to use with Amazon EFS, and details about its performance and security models. The target audience is security administrators, application developers, and application owners who operate or build file-based applications.
What's New in Amazon Aurora (DAT204-R1) - AWS re:Invent 2018Amazon Web Services
Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. This session provides an overview of Aurora, explores recently announced features, such as Serverless, Multi-Master, and Performance Insights, and helps you get started.
As the volume and types of data continues to grow, customers often have valuable data that is not easily discoverable and available for analytics. A common challenge for data engineering teams is architecting a data lake that can cater to the needs of diverse users - from developers to business analysts to data scientists. In this session, dive deep into building a data lake using Amazon S3, Amazon Kinesis, Amazon Athena and AWS Glue. Learn how AWS Glue crawlers can automatically discover your data, extracting and cataloguing relevant metadata to reduce operations in preparing your data for downstream consumers.
AWS re:Invent è l’annuale conferenza globale di Amazon Web Services. Ogni anno presentiamo più di 1000 sessioni tecniche, workshops e hackathon che coprono argomenti chiave inerenti a AWS e che illustrano le tecnologie che AWS sviluppa e introduce. In questo webinar vedremo un riepilogo degli annunci e delle novità presentate a Las Vegas e diversi casi d’uso per i principali servizi introdotti.
The document provides an overview of Amazon Aurora, a managed relational database service from AWS. Some key points:
- Aurora is optimized for high performance and availability and is compatible with MySQL and PostgreSQL. It uses a distributed, fault-tolerant storage system and automatically handles administrative tasks.
- Aurora leverages other AWS services like Lambda, S3, IAM and CloudWatch. Its scale-out architecture provides high throughput and its asynchronous replication enables quick failover.
- Performance monitoring tools like Performance Insights help users analyze database load and identify bottlenecks. Recent innovations improve availability further with features like zero downtime patching and database cloning.
The document provides an overview of Amazon Relational Database Service (Amazon RDS) and how it can be used to manage relational databases in the AWS cloud. It discusses the various engines supported by Amazon RDS, benefits of using Amazon RDS such as automated provisioning and high availability, factors to consider in choosing an Amazon RDS engine and instance type, storage options, and methods for ensuring database security, backups, and monitoring performance.
Automating Backup and Archiving on AWS with Commvault (STG358) - AWS re:Inven...Amazon Web Services
Are you planning to utilize just one data management platform to move, manage, and use data across on-premises and AWS Cloud environments? Commvault, an AWS Partner Network (APN) Advanced and Storage Competency Technology Partner, offers comprehensive data management for managing data across files, applications, databases, hypervisors, and clouds. In this chalk talk, we dive deep on how Commvault enables you to migrate onsite backup data onto Amazon S3 to reduce your hardware footprint and improve recoverability; implement data tiering and archive data in Amazon Glacier for long-term retention and compliance; and perform snapshot-based protection and recovery for applications running on Amazon EC2.
Migrating Your Oracle & SQL Server Databases to Amazon Aurora (DAT318) - AWS ...Amazon Web Services
Organizations today are looking to free themselves from the constraints of on-premises commercial databases and leverage the power of cloud-native and open-source systems. Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database that is built for the cloud, with the speed, reliability, and availability of commercial databases at one-tenth the cost. In this session, we provide an overview of Aurora and its features. We talk about the latest advances in migration tooling and automation, and we explain how many of the common legacy features of Oracle and SQL Server map to modern cloud variants. We also hear from Dow Jones about its migration journey to the cloud.
Deep Dive on Amazon EC2 Accelerated Computing - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Technical understanding of AWS' offerings for GPU-based and FPGA-based accelerated computing
- Technical understanding of which Amazon EC2 Accelerated Computing services are ideal for running deep learning training and inference, advanced graphics applications, high performance computing, and reconfigurable computing
- What are the technical advantages of using Amazon EC2 Accelerated Computing services to run ML/DL and HPC workloads in the cloud
0 best practices for architecting for the cloud
1. Enable Scalability
2. Use Disposable Resources
3. Automate Your Environment
4. Loosely Couple Your Components
5. Design Services, Not Servers
6. Choose the Right Database Solutions
7. Avoid Single Points of Failure
8. Optimize for Cost
9. Use Caching
10. Secure Your Infrastructure Everywhere
Speaker: Anson Shen
Accelerate Database Development and Testing with Amazon Aurora (DAT313) - AWS...Amazon Web Services
Build faster, more scalable database applications with Amazon Aurora, a MySQL- and PostgreSQL-compatible relational database built for the cloud. We cover Aurora Serverless, which automatically scales your database up and down to meet demand; Fast Database Cloning, which makes data instantly available for application development; Backtrack, which rolls back your database between test runs; and Performance Insights, which helps assess the load on your database and optimize your SQL queries.
Deep Dive on PostgreSQL Databases on Amazon RDS (DAT324) - AWS re:Invent 2018Amazon Web Services
In this session, we provide an overview of the PostgreSQL options available on AWS, and do a deep dive on Amazon Relational Database Service (Amazon RDS) for PostgreSQL, a fully managed PostgreSQL service, and Amazon Aurora, a PostgreSQL-compatible database with up to 3x the performance of standard PostgreSQL. Learn about the features, functionality, and many innovations in Amazon RDS and Aurora, which give you the background to choose the right service to solve different technical challenges, and the knowledge to easily move between services as your requirements change over time.
Optimizing Amazon EBS for Performance (CMP317-R2) - AWS re:Invent 2018Amazon Web Services
Key techniques and practices while using Amazon EBS can help push performance and optimize spend. In this session, learn how to optimize storage performance and costs for Amazon EBS using tools such as Amazon CloudWatch, AWS Trusted Advisor, and third-party tools such as Cloudability.
Introducing Amazon Aurora with PostgreSQL Compatibility - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about optimizing relational databases for the cloud
- Learn about Amazon Aurora scalability and high availability
- Learn about Amazon Aurora compatibility with PostgreSQL
The document summarizes an AWS event in London. It introduces Ian Massingham as the lead for AWS technical and developer evangelism. It highlights that feedback is important to AWS and to provide it on Twitter with the hashtags #AWSomeDay and #AWS. It then provides an introduction to AWS, noting that AWS has millions of active customers per month, the largest number of startup and enterprise customers, and the broadest ecosystem of independent software vendors. It discusses how cloud computing has become the new normal and how companies of all sizes can move faster. It outlines the key components of agility available on AWS and closes by providing information on how to learn more about AWS.
This document discusses big data analytics and architectural principles for building big data solutions. It covers collecting and storing data from various sources, processing and analyzing data using services like Amazon Kinesis, Redshift, EMR and Athena, and choosing the right tools based on factors like data structure, access patterns, and latency requirements. Key principles emphasized include building decoupled systems, leveraging managed services, using event-driven architectures, and focusing on cost efficiency.
The document summarizes announcements from AWS re:Invent about new and updated AWS services. It describes new EC2 instance types, updates to compute, database, developer tools, machine learning, IoT, marketplace, networking, security, and storage services. Key announcements include new EC2 Graviton processor instances, AWS Step Functions integration, DynamoDB transactions, Amazon Timestream, AWS Global Accelerator, AWS Security Hub, and Amazon S3 storage class updates. The event included sessions on these topics along with networking and pizza.
How to Bring Microsoft Apps to AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how AWS can help you to improve performance, increase availability, and improve the security posture for your Microsoft workloads
- Learn best practices to ensure maximum performance and availability for your Microsoft workloads while migrating to the AWS Cloud
- Learn about Microsoft on AWS Licensing Options
by Darin Briskman, Technical Evangelist, AWS
Oracle RDBMS is the most widely used of the commercial relational databases. We’ll look at how to run Oracle on the AWS Cloud, with examples of organizations using it.
A closer look at the MySQL and PostgreSQL compatible relational database built for the cloud that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. We’ll explore how Aurora uses the AWS cloud to provide high reliability, high durability, and high throughput.
Amazon EC2 Instances, Featuring Performance Optimisation Best PracticesAmazon Web Services
This document provides an overview of Amazon EC2. It discusses the different types of EC2 instances optimized for various workloads like compute, memory, storage and graphics. It also covers key EC2 services like Elastic Block Store, Virtual Private Cloud, Placement Groups, Elastic Load Balancing and Auto Scaling. The document reviews EC2 purchasing options including On-Demand, Reserved and Spot instances. It emphasizes optimizing costs by combining these options based on workload requirements.
The document discusses various backup and archival strategies using AWS services like Amazon S3, EBS, Glacier, and Snowball. It provides examples of using S3 lifecycle policies to transition data between storage tiers, taking EBS snapshots for EC2 instance backups, and using Snowball for large-scale data transfers to the cloud. Backup and archival solutions can provide durability, scalability, cost savings, and reduce risks compared to on-premises options.
Deep Dive on Amazon Elastic File System (Amazon EFS) (STG301-R1) - AWS re:Inv...Amazon Web Services
In this session, we explore the world's first cloud-scale file system and its targeted use cases. Learn about Amazon Elastic File System (Amazon EFS), its features and benefits, how to identify applications that are appropriate to use with Amazon EFS, and details about its performance and security models. The target audience is security administrators, application developers, and application owners who operate or build file-based applications.
What's New in Amazon Aurora (DAT204-R1) - AWS re:Invent 2018Amazon Web Services
Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. This session provides an overview of Aurora, explores recently announced features, such as Serverless, Multi-Master, and Performance Insights, and helps you get started.
As the volume and types of data continues to grow, customers often have valuable data that is not easily discoverable and available for analytics. A common challenge for data engineering teams is architecting a data lake that can cater to the needs of diverse users - from developers to business analysts to data scientists. In this session, dive deep into building a data lake using Amazon S3, Amazon Kinesis, Amazon Athena and AWS Glue. Learn how AWS Glue crawlers can automatically discover your data, extracting and cataloguing relevant metadata to reduce operations in preparing your data for downstream consumers.
AWS re:Invent è l’annuale conferenza globale di Amazon Web Services. Ogni anno presentiamo più di 1000 sessioni tecniche, workshops e hackathon che coprono argomenti chiave inerenti a AWS e che illustrano le tecnologie che AWS sviluppa e introduce. In questo webinar vedremo un riepilogo degli annunci e delle novità presentate a Las Vegas e diversi casi d’uso per i principali servizi introdotti.
When Fujirebio Diagnostics, a leading producer of in vitro diagnostics, shifted to virtualization and the cloud, it wanted to replace its costly, unreliable, and cumbersome backup solution. Fujirebio turned to Amazon Web Services (AWS) and Rubrik for a more modern solution. The company used Rubrik Cloud Data Management to eliminate complex tape backup and archive mission critical production systems on AWS, as well as extend on-site storage capacity. The solution automates backup, recovery, and archival on AWS, helping the company drive operational efficiency and resilience. In this webinar, you will learn how Fujirebio Diagnostics used AWS and Rubrik to simplify data protection, achieve fast recovery, reduce management time, and lower total cost of ownership by 75 percent.
AWS Speaker: Mike Ruiz, Partner Solutions Architect
Rubrik Speakers: Kenneth Hui, Technical Marketing Engineer & Mark Haus, Sales Engineer
The document discusses AWS analytics services that can be used to build better data lakes. It describes how customers are moving to data lake architectures that bring together the benefits of data warehouses and data lakes. The document then summarizes various AWS analytics services like Amazon S3, AWS Glue, Lake Formation, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Elasticsearch Service, Amazon SageMaker, Amazon QuickSight, and AWS Data Exchange that can be used for different types of analytics on the data lake including data warehousing, big data processing, interactive querying, operational analytics, real-time analytics, predictive analytics, and visualizations.
BDA308 Deep Dive: Log Analytics with Amazon Elasticsearch ServiceAmazon Web Services
Amazon Elasticsearch Service makes it easy to deploy, secure, operate, and scale Elasticsearch for log analytics, full text search, application monitoring, and more. In this session you learn how to configure a secure, petabyte-scale Amazon Elasticsearch Service cluster and build Kibana dashboards to analyze your data. In addition, we discuss best practices to make your cluster reliable, take backups, and debug slow-running queries and indexing operations.
NetApp Cloud Data Services & AWS Empower Your Cloud ChampionsAmazon Web Services
The document discusses enabling cloud champions with AWS and NetApp cloud data services. It highlights how hyperscale computing is leading the way for government agencies to use data to innovate and reduce costs. NetApp cloud volumes provide enterprise-level file services on AWS to accelerate all types of cloud workloads. Examples are given of how NetApp solutions help with data migration, disaster recovery, and meeting data storage needs on AWS.
A closer look at the MySQL and PostgreSQL compatible relational database built for the cloud that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. We’ll explore how Aurora uses the AWS cloud to provide high reliability, high durability, and high throughput.
Speakers:
Steve Abraham - Principal Database Specialist Solutions Architect, AWS
Peter Dachnowicz - Sr. Technical Account Manager, AWS
Building Hybrid Cloud Storage Architectures with AWS @scaleAmazon Web Services
The document discusses building hybrid cloud storage architectures with AWS. It provides an overview of AWS storage services including Amazon S3, Glacier, EBS, and EFS. It also describes the AWS Storage Gateway family of on-premises appliances that enable hybrid storage between on-premises and AWS cloud storage. Specifically, it covers the File Gateway for accessing S3 storage as files, Volume Gateway for iSCSI volumes, and Tape Gateway for migrating tape backups to S3.
Migrating Data to the Cloud: Exploring Your Options from AWS (STG205-R1) - AW...Amazon Web Services
The document discusses various options for migrating data to the AWS cloud, including AWS Direct Connect for private connectivity, AWS DataSync for online data transfer, the AWS Snowball and Snowball Edge devices for offline data transfer of large volumes, AWS Storage Gateway for hybrid storage, AWS Transfer for SFTP, and Amazon S3 Transfer Acceleration. It provides overviews and use cases for each service and how they can help with migrating and managing data in hybrid cloud environments.
Backup & Recovery - Optimize Your Backup and Restore Architectures in the CloudAmazon Web Services
This document discusses optimizing backup and restore architectures in the cloud. It begins by noting the rapid growth of digital data and importance of backup and recovery. Common terms like RPO and RTO are defined. Traditional on-premises backup is compared to approaches using cloud connectors, gateways, and services like S3, Glacier, and EBS. Benefits of cloud backup include cost savings, automation, and analytics. A variety of AWS storage services and partners are presented as solutions for different backup use cases.
Optimizing Storage for Enterprise Workloads and Migrations (STG202) - AWS re:...Amazon Web Services
In this session, we focus on best practices for AWS block and file storage when supporting enterprise workloads (like SAP, Oracle, Microsoft applications, and home directories). We discuss migrating mission-critical workload data, selecting volumes or file systems, optimizing performance, and designing for durability and availability. We also review optimizing for cost to ensure that your lift-and-shift project is a success.
Introducing AWS DataSync - Simplify, automate, and accelerate online data tra...Amazon Web Services
SFTP is used for the exchange of data across many industries, including financial services, healthcare, and retail. In this session, we will introduce you to AWS Transfer for SFTP, a service that helps you easily migrate file transfer workflows to AWS, without needing to modify applications or manage SFTP servers. We will demonstrate the product and talk about how to migrate your users so they continue to use their existing SFTP clients and credentials, while the data they access is stored in S3. You will also learn how FINRA is using this new service in conjunction with their Data Lake on AWS.N/A
Moving Out of the Data Center to Reach More Customer Targets (IOT222-S) - AWS...Amazon Web Services
This document discusses how a global automation services company is moving its applications from an on-premises data center to AWS using NetApp Cloud Volumes in order to reduce costs, increase flexibility, and reach more customers. The company needs to move its applications to the cloud without rewriting them, but its current NFS-based architecture is limiting its ability to use AWS. NetApp Cloud Volumes provides fully-managed file services on AWS that support NFS, allowing the company to migrate its applications to AWS and gain the scalability and cost benefits of the cloud.
How UCSD Simplified Data Protection with Rubrik and AWS (STG207-S) - AWS re:I...Amazon Web Services
Are you dealing with legacy system complexities when integrating your backup and recovery solution with the cloud? Rubrik can help you simplify data protection with its policy-based backup, recovery, and archival capabilities for hybrid applications. In this session, learn how University of California San Diego (UCSD) leverages Rubrik and AWS to help simplify data protection, achieve rapid data recovery, and scale for data growth. Join us to learn how UCSD replaced expensive and unreliable backup tapes with AWS storage, and how to move data to AWS and protect your cloud-native workloads running on AWS. This session is brought to you by AWS partner, Rubrik.
Amazon Relational Database Service (RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizable capacity while automating time-consuming tasks such as hardware provisioning, database setup, patching, and backups. There are multiple database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server. Amazon Aurora is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It is designed to be compatible with MySQL and PostgreSQL so that existing applications and tools can run without modification.
In this deck from the HPC User Forum at Argonne, Ian Colle from Amazon presents: What Can HPC on AWS Do?
"AWS provides the most elastic and scalable cloud infrastructure to run your HPC applications. With virtually unlimited capacity, engineers, researchers, and HPC system owners can innovate beyond the limitations of on-premises HPC infrastructure. AWS delivers an integrated suite of services that provides everything needed to quickly and easily build and manage HPC clusters in the cloud to run the most compute intensive workloads across various industry verticals. These workloads span the traditional HPC applications, like genomics, computational chemistry, financial risk modeling, computer aided engineering, weather prediction, and seismic imaging, as well as emerging applications, like machine learning, deep learning, and autonomous driving."
Watch the video: https://wp.me/p3RLHQ-kUh
Learn more: https://aws.amazon.com/hpc/
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
The document discusses Amazon Elasticsearch Service, which is a fully managed service for deploying and operating Elasticsearch clusters. Key points include:
- It allows deploying a production-ready Elasticsearch cluster within minutes and easily scaling the cluster.
- Data is securely stored within a user's VPC and access can be restricted using IAM policies and security groups.
- The service is tightly integrated with other AWS services to allow for seamless data ingestion, security, monitoring, and orchestration.
Using data lakes to quench your analytics fire - AWS Summit Cape Town 2018Amazon Web Services
Speaker: Shafreen Sayyed, AWS
Level: 200
Traditional data storage and analytic tools no longer provide the agility and flexibility required to deliver relevant business insights. We are seeing more and more organisations shift to a data lake solution. This approach allows you to store massive amounts of data in a central location so its readily available to be categorized, processed, analyzed, and consumed by diverse organizational groups. In this session, we’ll assemble a data lake using services such as Amazon S3, Amazon Kinesis, Amazon Athena, Amazon EMR, AWS Glue and integration with Amazon Redshift Spectrum.
Big data journey to the cloud rohit pujari 5.30.18Cloudera, Inc.
We hope this session was valuable in teaching you more about Cloudera Enterprise on AWS, and how fast and easy it is to deploy a modern data management platform—in your cloud and on your terms.
This document provides a high-level summary of AWS services presented in a technical training for partners. It covers compute services like EC2 and Lambda, storage services like S3 and EBS, database services like DynamoDB and RDS, networking services like VPC and Route 53, and security services like IAM. The training introduces the core AWS services and how they can be used to build scalable and reliable cloud applications.
Nashik's top web development company, Upturn India Technologies, crafts innovative digital solutions for your success. Partner with us and achieve your goals
Consistent toolbox talks are critical for maintaining workplace safety, as they provide regular opportunities to address specific hazards and reinforce safe practices.
These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions.
Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site.
The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages.
Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information.
This method minimizes disruptions to work schedules, eliminates the hassle of paperwork, and ensures that all safety communications are tracked and recorded accurately. Ultimately, using a digital platform like Safelyio enhances engagement, compliance, and overall safety performance on site. https://safelyio.com/
A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions.
Building API data products on top of your real-time data infrastructureconfluent
This talk and live demonstration will examine how Confluent and Gravitee.io integrate to unlock value from streaming data through API products.
You will learn how data owners and API providers can document, secure data products on top of Confluent brokers, including schema validation, topic routing and message filtering.
You will also see how data and API consumers can discover and subscribe to products in a developer portal, as well as how they can integrate with Confluent topics through protocols like REST, Websockets, Server-sent Events and Webhooks.
Whether you want to monetize your real-time data, enable new integrations with partners, or provide self-service access to topics through various protocols, this webinar is for you!
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
React.js, a JavaScript library developed by Facebook, has gained immense popularity for building user interfaces, especially for single-page applications. Over the years, React has evolved and expanded its capabilities, becoming a preferred choice for mobile app development. This article will explore why React.js is an excellent choice for the Best Mobile App development company in Noida.
Visit Us For Information: https://www.linkedin.com/pulse/what-makes-reactjs-stand-out-mobile-app-development-rajesh-rai-pihvf/
Software Test Automation - A Comprehensive Guide on Automated Testing.pdfkalichargn70th171
Moving to a more digitally focused era, the importance of software is rapidly increasing. Software tools are crucial for upgrading life standards, enhancing business prospects, and making a smart world. The smooth and fail-proof functioning of the software is very critical, as a large number of people are dependent on them.
The Rising Future of CPaaS in the Middle East 2024Yara Milbes
Explore "The Rising Future of CPaaS in the Middle East in 2024" with this comprehensive PPT presentation. Discover how Communication Platforms as a Service (CPaaS) is transforming communication across various sectors in the Middle East.
Stork Product Overview: An AI-Powered Autonomous Delivery FleetVince Scalabrino
Imagine a world where instead of blue and brown trucks dropping parcels on our porches, a buzzing drove of drones delivered our goods. Now imagine those drones are controlled by 3 purpose-built AI designed to ensure all packages were delivered as quickly and as economically as possible That's what Stork is all about.
Secure-by-Design Using Hardware and Software Protection for FDA ComplianceICS
This webinar explores the “secure-by-design” approach to medical device software development. During this important session, we will outline which security measures should be considered for compliance, identify technical solutions available on various hardware platforms, summarize hardware protection methods you should consider when building in security and review security software such as Trusted Execution Environments for secure storage of keys and data, and Intrusion Detection Protection Systems to monitor for threats.
🏎️Tech Transformation: DevOps Insights from the Experts 👩💻campbellclarkson
Connect with fellow Trailblazers, learn from industry experts Glenda Thomson (Salesforce, Principal Technical Architect) and Will Dinn (Judo Bank, Salesforce Development Lead), and discover how to harness DevOps tools with Salesforce.
Photoshop Tutorial for Beginners (2024 Edition)alowpalsadig
Photoshop Tutorial for Beginners (2024 Edition)
Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."
Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
Photoshop Tutorial for Beginners (2024 Edition)Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
The importance of developing and designing programming in 2024
Programming design and development represents a vital step in keeping pace with technological advancements and meeting ever-changing market needs. This course is intended for anyone who wants to understand the fundamental importance of software development and design, whether you are a beginner or a professional seeking to update your knowledge.
Course objectives:
1. **Learn about the basics of software development:
- Understanding software development processes and tools.
- Identify the role of programmers and designers in software projects.
2. Understanding the software design process:
- Learn about the principles of good software design.
- Discussing common design patterns such as Object-Oriented Design.
3. The importance of user experience (UX) in modern software:
- Explore how user experience can improve software acceptance and usability.
- Tools and techniques to analyze and improve user experience.
4. Increase efficiency and productivity through modern development tools:
- Access to the latest programming tools and languages used in the industry.
- Study live examples of applications
What is Continuous Testing in DevOps - A Definitive Guide.pdfkalichargn70th171
Once an overlooked aspect, continuous testing has become indispensable for enterprises striving to accelerate application delivery and reduce business impacts. According to a Statista report, 31.3% of global enterprises have embraced continuous integration and deployment within their DevOps, signaling a pervasive trend toward hastening release cycles.