This document discusses big data solutions in the cloud. It describes Hadoop, MapReduce, and NoSQL databases for storing and analyzing large datasets. It also discusses AWS services like S3, EMR, Redshift, DynamoDB, and Kinesis that can be used to build scalable big data architectures in the cloud. Examples are provided showing how these AWS services can be used together to perform log analysis, recommendations, and streaming analytics on big data.
AWS Summit 2014 Melbourne - Breakout 1
Amazon Workspaces is a new service from AWS that delivery fully managed desktops in the Cloud. In this session you be able to learn more about the benefits and capabilities of Workspaces and see a demo of the user's experience when using Workspaces and the administrators experience in managing it.
Presenter: Dean Samuels, Solutions Architect, Amazon Web Services
AWS Summit 2014 Melbourne - Breakout 1
Businesses of all sizes are archiving their data to the AWS Cloud in order to reduce costs while taking advantage of highly secure, highly durable, and simple cloud based storage services. With AWS, you pay as you go and you can scale up and down as required. With your data stored in the AWS Cloud, it’s easy to use other Amazon Web Services to take advantage of additional cost savings and benefits. Amazon storage services remove the need for complex and time-consuming capacity planning, ongoing negotiations with multiple hardware and software vendors, specialized training, and maintenance of offsite facilities or transportation of storage media to third party offsite locations. Amazon Web Services now offers a robust set of hybrid storage solutions for customers that currently operate and maintain data centers. Our Next Generation Enterprise Storage strategy has at its heart Amazon S3. This highly scalable, extremely durable storage service combines with a diverse set of Cloud Storage Gateways to provide businesses with a new approach to Enterprise storage.
Presenter: Jeff Putt, Business Development Manager, APAC, Amazon Web Services
How a National Transportation Software Provider Migrated a Mission-Critical T...Amazon Web Services
In this webinar, Cascadeo will show you how they helped a national transportation software provider build an AWS architecture that enables them to effectively support more than 3,300 complex integration tests against nightly builds of their Interoperable Train Control Messaging (ITCM) application. You’ll also learn about how this software provider can scale on-demand, has improved governance and cost management, and rapidly supports new projects without increasing IT overhead using AWS.
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
Database Migration: Simple, Cross-Engine and Cross-Platform Migrations with ...Amazon Web Services
Learn how you can migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases using AWS Database Migration Service. We'll 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'll 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 of all, we'll spend most of the time demonstrating the product and showing use cases designed to help your business.
Hands On Lab: Introduction to Microsoft SQL Server in AWS - May 2017 AWS Onli...Amazon Web Services
Learning Objectives:
- Create an Amazon Relational Database Service (RDS) SQL Server instance
- Connect to the RDS instance using Microsoft SQL Server Management Studio
- Import data into the database
You can use AWS services like Amazon EC2 and Amazon RDS to quickly build, deploy, scale and manage your SQL Server databases, which helps you build more agile applications. This session will cover best practices for running SQL Server on AWS. We will discuss how to choose between Amazon EC2 and Amazon RDS. The lab portion of this webinar will lead you through the steps to launch and configure your first Microsoft SQL Server instance on Amazon Relational Database Service (RDS) and connect it to Microsoft SQL Server Management Studio.
Join the hands-on-lab webinar and receive access to valuable online training. After the webinar, you can take your learning even further with free access to advanced and expert-level labs.
AWS re:Invent 2016: Effective Application Data Analytics for Modern Applicati...Amazon Web Services
IT is evolving from a cost center to a source of continuous innovation for business. At the heart of this transition are modern, revenue-generating applications, based on dynamic architectures that constantly evolve to keep pace with end-customer demands. This dynamic application environment requires a new, comprehensive approach to traditional monitoring – one based on real-time, end-to-end visibility and analytics across the entire application lifecycle and stack, instead of monitoring by piecemeal. This presentation highlights practical advice on how developers and operators can leverage data and analytics to glean critical information about their modern applications. In this session, we will cover the types of data important for today’s modern applications. We’ll discuss visibility and analytics into data sources such as AWS services (e.g., Amazon CloudWatch, AWS Lambda, VPC Flow Logs, Amazon EC2, Amazon S3, etc.), development tool chain, and custom metrics, and describe how to use analytics to understand business performance and behaviors. We discuss a comprehensive approach to monitoring, troubleshooting, and customer usage insights, provide examples of effective data analytics to improve software quality, and describe an end-to-end customer use case that highlights how analytics applies to the modern app lifecycle and stack. Session sponsored by Sumo Logic.
AWS Competency Partner
AWS Summit 2014 Melbourne - Breakout 1
Amazon Workspaces is a new service from AWS that delivery fully managed desktops in the Cloud. In this session you be able to learn more about the benefits and capabilities of Workspaces and see a demo of the user's experience when using Workspaces and the administrators experience in managing it.
Presenter: Dean Samuels, Solutions Architect, Amazon Web Services
AWS Summit 2014 Melbourne - Breakout 1
Businesses of all sizes are archiving their data to the AWS Cloud in order to reduce costs while taking advantage of highly secure, highly durable, and simple cloud based storage services. With AWS, you pay as you go and you can scale up and down as required. With your data stored in the AWS Cloud, it’s easy to use other Amazon Web Services to take advantage of additional cost savings and benefits. Amazon storage services remove the need for complex and time-consuming capacity planning, ongoing negotiations with multiple hardware and software vendors, specialized training, and maintenance of offsite facilities or transportation of storage media to third party offsite locations. Amazon Web Services now offers a robust set of hybrid storage solutions for customers that currently operate and maintain data centers. Our Next Generation Enterprise Storage strategy has at its heart Amazon S3. This highly scalable, extremely durable storage service combines with a diverse set of Cloud Storage Gateways to provide businesses with a new approach to Enterprise storage.
Presenter: Jeff Putt, Business Development Manager, APAC, Amazon Web Services
How a National Transportation Software Provider Migrated a Mission-Critical T...Amazon Web Services
In this webinar, Cascadeo will show you how they helped a national transportation software provider build an AWS architecture that enables them to effectively support more than 3,300 complex integration tests against nightly builds of their Interoperable Train Control Messaging (ITCM) application. You’ll also learn about how this software provider can scale on-demand, has improved governance and cost management, and rapidly supports new projects without increasing IT overhead using AWS.
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
Database Migration: Simple, Cross-Engine and Cross-Platform Migrations with ...Amazon Web Services
Learn how you can migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases using AWS Database Migration Service. We'll 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'll 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 of all, we'll spend most of the time demonstrating the product and showing use cases designed to help your business.
Hands On Lab: Introduction to Microsoft SQL Server in AWS - May 2017 AWS Onli...Amazon Web Services
Learning Objectives:
- Create an Amazon Relational Database Service (RDS) SQL Server instance
- Connect to the RDS instance using Microsoft SQL Server Management Studio
- Import data into the database
You can use AWS services like Amazon EC2 and Amazon RDS to quickly build, deploy, scale and manage your SQL Server databases, which helps you build more agile applications. This session will cover best practices for running SQL Server on AWS. We will discuss how to choose between Amazon EC2 and Amazon RDS. The lab portion of this webinar will lead you through the steps to launch and configure your first Microsoft SQL Server instance on Amazon Relational Database Service (RDS) and connect it to Microsoft SQL Server Management Studio.
Join the hands-on-lab webinar and receive access to valuable online training. After the webinar, you can take your learning even further with free access to advanced and expert-level labs.
AWS re:Invent 2016: Effective Application Data Analytics for Modern Applicati...Amazon Web Services
IT is evolving from a cost center to a source of continuous innovation for business. At the heart of this transition are modern, revenue-generating applications, based on dynamic architectures that constantly evolve to keep pace with end-customer demands. This dynamic application environment requires a new, comprehensive approach to traditional monitoring – one based on real-time, end-to-end visibility and analytics across the entire application lifecycle and stack, instead of monitoring by piecemeal. This presentation highlights practical advice on how developers and operators can leverage data and analytics to glean critical information about their modern applications. In this session, we will cover the types of data important for today’s modern applications. We’ll discuss visibility and analytics into data sources such as AWS services (e.g., Amazon CloudWatch, AWS Lambda, VPC Flow Logs, Amazon EC2, Amazon S3, etc.), development tool chain, and custom metrics, and describe how to use analytics to understand business performance and behaviors. We discuss a comprehensive approach to monitoring, troubleshooting, and customer usage insights, provide examples of effective data analytics to improve software quality, and describe an end-to-end customer use case that highlights how analytics applies to the modern app lifecycle and stack. Session sponsored by Sumo Logic.
AWS Competency Partner
(BDT309) Data Science & Best Practices for Apache Spark on Amazon EMRAmazon Web Services
Organizations need to perform increasingly complex analysis on their data — streaming analytics, ad-hoc querying and predictive analytics — in order to get better customer insights and actionable business intelligence. However, the growing data volume, speed, and complexity of diverse data formats make current tools inadequate or difficult to use. Apache Spark has recently emerged as the framework of choice to address these challenges. Spark is a general-purpose processing framework that follows a DAG model and also provides high-level APIs, making it more flexible and easier to use than MapReduce. Thanks to its use of in-memory datasets (RDDs), embedded libraries, fault-tolerance, and support for a variety of programming languages, Apache Spark enables developers to implement and scale far more complex big data use cases, including real-time data processing, interactive querying, graph computations and predictive analytics. In this session, we present a technical deep dive on Spark running on Amazon EMR. You learn why Spark is great for ad-hoc interactive analysis and real-time stream processing, how to deploy and tune scalable clusters running Spark on Amazon EMR, how to use EMRFS with Spark to query data directly in Amazon S3, and best practices and patterns for Spark on Amazon EMR.
Migrate from Oracle to Amazon Aurora using AWS Schema Conversion Tool & AWS D...Amazon Web Services
• Understand the issues with commercial database pricing and licensing.
• Learn about the benefits of Amazon Aurora for improving performance and decreasing costs.
• See how AWS Database Migration Service helps with your migration.
• See how AWS Schema Conversion Tool makes conversions simple and quick.
If you’re looking to improve application performance and availability and decrease database costs, it’s time to replace your expensive Oracle databases with an open-source compatible solution. Amazon Aurora is a MySQL-compatible relational database that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. You'll learn how to use the AWS Database Migration Service to migrate your data with minimal downtime, and how the AWS Schema Conversion Tool converts your Oracle schemas and procedural code into Amazon Aurora. We’ll follow with a quick demo of the entire process.
Optimizing the Data Tier for Serverless Web Applications - March 2017 Online ...Amazon Web Services
AWS Lambda empowers developers to build cloud-native web applications or platforms using microservices architectures. This tech talk walks you through the process of identifying the presentation, logic, and data tiers required to build web applications with AWS Lambda at the core. By using AWS Lambda as your logic tier, you have a wide number of data storage options for your data tier. AWS offers a wide range of database services to fit your application requirements. We dive into methodologies for picking the right database/datastore technology based on your application requirements. We demonstrate connecting your serverless app to various AWS database offerings including Amazon RDS, Amazon Aurora, Amazon DynamoDB, and Amazon ElastiCache, and elaborate on the setup of each option with AWS Lambda. We also provide guidelines and best practices for implementing this architecture pattern, such as setting up a VPC on Lambda to connect to private resources and managing database connections.
Learning Objectives:
- Understand data-tier options when building serverless applications using AWS Lambda.
- Configuration and connectivity of AWS Lambda with each data tier
- Best practices for database connections and retries
Come learn about new and existing Amazon S3 features that can help you better protect your data, save on cost, and improve usability, security, and performance. We will cover a wide variety of Amazon S3 features and go into depth on several newer features with configuration and code snippets, so you can apply the learnings on your object storage workloads.
Getting Started with Managed Database Services on AWS - September 2016 Webina...Amazon Web Services
On AWS you can choose from a variety of managed database services that 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'll explain the fundamentals of Amazon RDS, a managed relational database service in the cloud; Amazon DynamoDB, a fully managed NoSQL database service; Amazon ElastiCache, a fast, in-memory caching 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, how much each service costs, and how to get started.
Learning Objectives:
• Overview of managed database services available on AWS
• How to combine them for high-performance cost effective architectures
• Learn how to choose between the AWS database services based on the use case
Who Should Attend:
• IT Managers, DBAs, Enterprise and Solution Architects, IT Managers, DBAs, Enterprise and Solution Architects, Devops Engineers and Developers
Amazon RDS allows customers to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. Amazon RDS provides you six familiar database engines to choose from, including Amazon Aurora, Oracle, Microsoft SQL Server, PostgreSQL, MySQL and MariaDB. In this session we will take a closer look at the capabilities of RDS and all the different options available. We will do a deep dive into how RDS works and how Aurora differs from the rest of the engines.
Big Data in the Cloud: How the RISElab Enables Computers to Make Intelligent ...Amazon Web Services
Scientists, developers, and other technologists from many different industries are taking advantage of Amazon Web Services to perform big data workloads from analytics to using data lakes for better decision making to meet the challenges of the increasing volume, variety, and velocity of digital information. This session will feature UCB's RISELab (Real time Intelligent Secure Execution), a new lab recently created at UCB to enable computers to make intelligent, real-time decisions. You will hear how they are building on their earlier success with AMPLab to enable applications to interact intelligently and securely with their environment in real time, wherever computing decisions need to interact with the world. From cybersecurity to coordinating fleets of self-driving cars and drones to earthquake warning systems, you will come away with insight on how they are using AWS to develop and experiment with the systems for important research. Learn More: https://aws.amazon.com/government-education/
(SEC320) Leveraging the Power of AWS to Automate Security & ComplianceAmazon Web Services
"You’ve made the move to AWS and are now reaping the benefits of decreased costs and increased business agility. How can you reap those same benefits for your cloud security and compliance operations? As building cloud-native applications requires different skill sets, architectures, integrations, and processes, implementing effective, scalable, and robust security for the cloud requires rethinking everything from your security tools to your team culture.
Attend this session to learn how to start down the path toward security and compliance automation and hear how DevSecOps leaders such as Intuit and Capital One are using AWS, DevOps, and automation to transform their security operations.
Session sponsored by evident.io"
This session provides an overview of how organizations can migrate workloads to the AWS cloud at scale. We will go through available migration frameworks and best practices with common use case examples during this session. After migrating the initial workloads, understand how to migrate at scale to the AWS cloud. Hear about real life experiences from the AWS Professional Services team and learn about common use case examples, frameworks, and best practices. Hear about what to avoid when migrating applications at scale to AWS and understand the tools and partner services that can assist you when migrating applications to AWS.
Running Microsoft Enterprise Workloads on Amazon Web ServicesAmazon Web Services
The cloud is the new norm for organisations of all sizes. In this session you will learn how to create an entire Microsoft Enterprise environment in AWS that includes AWS Active Directory Service, Simple System Management (SSM) service, MS Exchange and SharePoint.
James Saull, Principal Solutions Architect, Amazon Web Services, EMEA
Using Microsoft Active Directory across On-premises and Cloud WorkloadsAmazon Web Services
Learning Objectives:
- Learn how to setup SSO for your .NET applications, Amazon QuickSight, and AWS Enterprise IT Applications such as Amazon Workspaces.
- Learn how to manage your AWS Cloud Windows workloads such as Amazon EC2 for Windows Server and Amazon RDS SQL Server using GPOs.
- Learn how to configure trusts between your on-premises and AWS Cloud Microsoft Active Directory domains securely.
Managing your AWS Cloud Windows workloads using Microsoft Active Directory doesn’t require complex networking or synching your identity data across multiple systems. AWS Directory Service for Microsoft Active Directory offers you actual Microsoft Active Directory as a managed service. Attend this tech talk to become an expert at managing single sign-on (SSO) and Group Policy objects (GPOs) for your AWS Cloud Windows workloads. You will also see a demonstration on how to configure trusts between your on-premises and AWS Cloud Microsoft Active Directory domains securely.
AWS re:Invent 2016: Case Study: How Atlassian Uses Amazon EFS with JIRA to Cu...Amazon Web Services
At Atlassian, we create popular software tools to help every team unleash their full potential. We use our issue tracking tool JIRA to handle customer support issues from around the globe. As the business grew, we decided to move from a single server instance of JIRA to our JIRA Data Center product on AWS infrastructure to increase reliability, scale, and security. JIRA Data Center's requirement to use a shared file system caused us to try several in-house and third-party solutions prior to the availability of Amazon Elastic File System (Amazon EFS). We chose EFS for its performance, ease of use, automatic scaling, and out-of-the-box distribution capabilities. In this session, we discuss how Atlassian uses EFS to run JIRA Data Center. Topics include the technical architecture, how and why we chose EFS, our recommendations, and the lessons learned along the way.
Getting Started with Managed Services | AWS Public Sector Summit 2016Amazon Web Services
The AWS cloud infrastructure is architected to be one of the most flexible and secure cloud computing environments available today. By leveraging services such as EC2, you are able to build highly scalable and performant architectures. AWS also provides a rich set of services which help to remove much of the potentially undifferentiated heavy lifting associated to managing your EC2 based infrastructure. This session will introduce some of these services in the areas of Application Management, Database, Analytics, Security and Enterprise Applications.
Managing WorkSpaces at Scale | AWS Public Sector Summit 2016Amazon Web Services
Amazon WorkSpaces provides businesses with secure, managed desktops in the Amazon cloud, and offers an enhanced security posture, the ability to support the needs of a modern mobile workforce, and the flexibility to scale globally. In this session, you’ll hear about how organizations can simplify end user computing by moving desktops to the cloud. The session will cover identity and access management, network access and design, integration with on-premises IT infrastructure, application delivery, and the end user experience. Generalized deployment model and office in the box with a deconstructed network. You will also hear first-hand from customers who have implemented WorkSpaces and best practices for deploying Amazon WorkSpaces at scale. Topics will include security and network access, identity and access management, application delivery, and end user experience.
AWS re:Invent 2016: Getting Started with Amazon Aurora (DAT203)Amazon Web Services
Amazon Aurora is a MySQL-compatible relational database engine with the speed, reliability, and availability of high-end commercial databases at one-tenth the cost. This session introduces you to Amazon Aurora, explores the capabilities and features of Aurora, explains common use cases, and helps you get started with Aurora. Debanjan Saha, general manager for Aurora, explains how Aurora differs from other commonly available databases while staying compatible with MySQL and providing a high-end, cost-effective alternative to commercial and open-source database engines. In addition, Linda Xu, data architect at Ticketmaster, walks you through Ticketmaster's journey to Amazon Aurora, starting with evaluation through production migration of a critical Ticketmaster database to Amazon Aurora. Ticketmaster is one of the world's top 10 e-commerce companies and the global market leader in ticketing. In this session, Linda discusses how Aurora lets Ticketmaster provide better services to their fans, customers, and clients, and helps reduce the cost and operational burden while giving greater flexibility to support heavy traffic spikes.
WKS420 Create an IoT Gateway & Establish a Data Pipeline to AWS IoT with IntelAmazon Web Services
"In this session, you will learn how to create a complete Gateway based IoT framework – from the edge to the cloud and back. By utilizing an IoT Gateway as a central data collection, processing, and communication hub, you will be able to create IoT connectivity without having to replace legacy hardware. We will show you how to use an Intel NUC gateway and Arduino 101 sensor hub to gather environmental data and step you through establishing a data pipeline to AWS IoT. We will use AWS Lambda to create a rules engine for your data and then send a control signal back down the Intel Gateway.
Learning Objectives:
Gather data locally on a Gateway
Establish connection to AWS IoT
Pass data from AWS IoT to AWS Lambda for processing
Send a control signal back to the Gateway from AWS IoT"
One of the most fundamental challenges of CI/CD is the ability to balance between Quality, Time, and Cost. Amazon EC2 Container Service (ECS), along with Docker and Amazon EC2 Container Registry (ECR), has changed the game for many by making resource management very simple. For Okta, it has enabled the Continuous Integration team to maximize throughput while minimizing cost. In this session we will show you how Okta has created a flexible CI system with ECS, Docker, ECR, AWS Lambda, AWS CloudFormation, Amazon RDS, and Amazon SQS. Okta runs 30,000 tests with each developer commit, and releases 10,000 new lines of code each week to production. The CI system, built 100% on AWS, must be able to handle load while keeping cost under control. This talk is oriented toward developers looking to achieve efficient resource and cost management without compromising speed or quality.
AWS re:Invent 2016: Bring Microsoft Applications to AWS to Save Money and Sta...Amazon Web Services
Running Microsoft workloads on AWS is easy and can save you money. This session will cover how to bring your own Microsoft licenses to AWS, and then demonstrate using PowerShell to import your Windows Server image from Vmware or Hyper-V, configure Windows KMS with your license key, and launch an EC2 Dedicated Host. We will discuss ways you can use AWS Config rules to manage license compliance.
AWS Summit 2014 Melbourne - Breakout 2
Intel is contributing to a common security framework for Apache Hadoop, in the form of Project Rhino, which enables Hadoop to run workloads without compromising performance or security. Join this session to learn how your enterprise can take advantage of the security capabilities in the Intel Data Platform running on AWS to analyze data while ensuring technical safeguards that help you remain in compliance.
Presenter: Peter Kerney, Senior Solution Architect, Intel
AWS Summit 2014 Melbourne - Breakout 1
This session will introduce the key features and different services offered by AWS and demonstrate how you can get started and provide guidance and best practices on choosing the right types of instance, purchasing options, etc that will set you up for long term success on the AWS Cloud.
Presenter: Craig Dickson, Solutions Architect, Amazon Web Services
(BDT309) Data Science & Best Practices for Apache Spark on Amazon EMRAmazon Web Services
Organizations need to perform increasingly complex analysis on their data — streaming analytics, ad-hoc querying and predictive analytics — in order to get better customer insights and actionable business intelligence. However, the growing data volume, speed, and complexity of diverse data formats make current tools inadequate or difficult to use. Apache Spark has recently emerged as the framework of choice to address these challenges. Spark is a general-purpose processing framework that follows a DAG model and also provides high-level APIs, making it more flexible and easier to use than MapReduce. Thanks to its use of in-memory datasets (RDDs), embedded libraries, fault-tolerance, and support for a variety of programming languages, Apache Spark enables developers to implement and scale far more complex big data use cases, including real-time data processing, interactive querying, graph computations and predictive analytics. In this session, we present a technical deep dive on Spark running on Amazon EMR. You learn why Spark is great for ad-hoc interactive analysis and real-time stream processing, how to deploy and tune scalable clusters running Spark on Amazon EMR, how to use EMRFS with Spark to query data directly in Amazon S3, and best practices and patterns for Spark on Amazon EMR.
Migrate from Oracle to Amazon Aurora using AWS Schema Conversion Tool & AWS D...Amazon Web Services
• Understand the issues with commercial database pricing and licensing.
• Learn about the benefits of Amazon Aurora for improving performance and decreasing costs.
• See how AWS Database Migration Service helps with your migration.
• See how AWS Schema Conversion Tool makes conversions simple and quick.
If you’re looking to improve application performance and availability and decrease database costs, it’s time to replace your expensive Oracle databases with an open-source compatible solution. Amazon Aurora is a MySQL-compatible relational database that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. You'll learn how to use the AWS Database Migration Service to migrate your data with minimal downtime, and how the AWS Schema Conversion Tool converts your Oracle schemas and procedural code into Amazon Aurora. We’ll follow with a quick demo of the entire process.
Optimizing the Data Tier for Serverless Web Applications - March 2017 Online ...Amazon Web Services
AWS Lambda empowers developers to build cloud-native web applications or platforms using microservices architectures. This tech talk walks you through the process of identifying the presentation, logic, and data tiers required to build web applications with AWS Lambda at the core. By using AWS Lambda as your logic tier, you have a wide number of data storage options for your data tier. AWS offers a wide range of database services to fit your application requirements. We dive into methodologies for picking the right database/datastore technology based on your application requirements. We demonstrate connecting your serverless app to various AWS database offerings including Amazon RDS, Amazon Aurora, Amazon DynamoDB, and Amazon ElastiCache, and elaborate on the setup of each option with AWS Lambda. We also provide guidelines and best practices for implementing this architecture pattern, such as setting up a VPC on Lambda to connect to private resources and managing database connections.
Learning Objectives:
- Understand data-tier options when building serverless applications using AWS Lambda.
- Configuration and connectivity of AWS Lambda with each data tier
- Best practices for database connections and retries
Come learn about new and existing Amazon S3 features that can help you better protect your data, save on cost, and improve usability, security, and performance. We will cover a wide variety of Amazon S3 features and go into depth on several newer features with configuration and code snippets, so you can apply the learnings on your object storage workloads.
Getting Started with Managed Database Services on AWS - September 2016 Webina...Amazon Web Services
On AWS you can choose from a variety of managed database services that 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'll explain the fundamentals of Amazon RDS, a managed relational database service in the cloud; Amazon DynamoDB, a fully managed NoSQL database service; Amazon ElastiCache, a fast, in-memory caching 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, how much each service costs, and how to get started.
Learning Objectives:
• Overview of managed database services available on AWS
• How to combine them for high-performance cost effective architectures
• Learn how to choose between the AWS database services based on the use case
Who Should Attend:
• IT Managers, DBAs, Enterprise and Solution Architects, IT Managers, DBAs, Enterprise and Solution Architects, Devops Engineers and Developers
Amazon RDS allows customers to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. Amazon RDS provides you six familiar database engines to choose from, including Amazon Aurora, Oracle, Microsoft SQL Server, PostgreSQL, MySQL and MariaDB. In this session we will take a closer look at the capabilities of RDS and all the different options available. We will do a deep dive into how RDS works and how Aurora differs from the rest of the engines.
Big Data in the Cloud: How the RISElab Enables Computers to Make Intelligent ...Amazon Web Services
Scientists, developers, and other technologists from many different industries are taking advantage of Amazon Web Services to perform big data workloads from analytics to using data lakes for better decision making to meet the challenges of the increasing volume, variety, and velocity of digital information. This session will feature UCB's RISELab (Real time Intelligent Secure Execution), a new lab recently created at UCB to enable computers to make intelligent, real-time decisions. You will hear how they are building on their earlier success with AMPLab to enable applications to interact intelligently and securely with their environment in real time, wherever computing decisions need to interact with the world. From cybersecurity to coordinating fleets of self-driving cars and drones to earthquake warning systems, you will come away with insight on how they are using AWS to develop and experiment with the systems for important research. Learn More: https://aws.amazon.com/government-education/
(SEC320) Leveraging the Power of AWS to Automate Security & ComplianceAmazon Web Services
"You’ve made the move to AWS and are now reaping the benefits of decreased costs and increased business agility. How can you reap those same benefits for your cloud security and compliance operations? As building cloud-native applications requires different skill sets, architectures, integrations, and processes, implementing effective, scalable, and robust security for the cloud requires rethinking everything from your security tools to your team culture.
Attend this session to learn how to start down the path toward security and compliance automation and hear how DevSecOps leaders such as Intuit and Capital One are using AWS, DevOps, and automation to transform their security operations.
Session sponsored by evident.io"
This session provides an overview of how organizations can migrate workloads to the AWS cloud at scale. We will go through available migration frameworks and best practices with common use case examples during this session. After migrating the initial workloads, understand how to migrate at scale to the AWS cloud. Hear about real life experiences from the AWS Professional Services team and learn about common use case examples, frameworks, and best practices. Hear about what to avoid when migrating applications at scale to AWS and understand the tools and partner services that can assist you when migrating applications to AWS.
Running Microsoft Enterprise Workloads on Amazon Web ServicesAmazon Web Services
The cloud is the new norm for organisations of all sizes. In this session you will learn how to create an entire Microsoft Enterprise environment in AWS that includes AWS Active Directory Service, Simple System Management (SSM) service, MS Exchange and SharePoint.
James Saull, Principal Solutions Architect, Amazon Web Services, EMEA
Using Microsoft Active Directory across On-premises and Cloud WorkloadsAmazon Web Services
Learning Objectives:
- Learn how to setup SSO for your .NET applications, Amazon QuickSight, and AWS Enterprise IT Applications such as Amazon Workspaces.
- Learn how to manage your AWS Cloud Windows workloads such as Amazon EC2 for Windows Server and Amazon RDS SQL Server using GPOs.
- Learn how to configure trusts between your on-premises and AWS Cloud Microsoft Active Directory domains securely.
Managing your AWS Cloud Windows workloads using Microsoft Active Directory doesn’t require complex networking or synching your identity data across multiple systems. AWS Directory Service for Microsoft Active Directory offers you actual Microsoft Active Directory as a managed service. Attend this tech talk to become an expert at managing single sign-on (SSO) and Group Policy objects (GPOs) for your AWS Cloud Windows workloads. You will also see a demonstration on how to configure trusts between your on-premises and AWS Cloud Microsoft Active Directory domains securely.
AWS re:Invent 2016: Case Study: How Atlassian Uses Amazon EFS with JIRA to Cu...Amazon Web Services
At Atlassian, we create popular software tools to help every team unleash their full potential. We use our issue tracking tool JIRA to handle customer support issues from around the globe. As the business grew, we decided to move from a single server instance of JIRA to our JIRA Data Center product on AWS infrastructure to increase reliability, scale, and security. JIRA Data Center's requirement to use a shared file system caused us to try several in-house and third-party solutions prior to the availability of Amazon Elastic File System (Amazon EFS). We chose EFS for its performance, ease of use, automatic scaling, and out-of-the-box distribution capabilities. In this session, we discuss how Atlassian uses EFS to run JIRA Data Center. Topics include the technical architecture, how and why we chose EFS, our recommendations, and the lessons learned along the way.
Getting Started with Managed Services | AWS Public Sector Summit 2016Amazon Web Services
The AWS cloud infrastructure is architected to be one of the most flexible and secure cloud computing environments available today. By leveraging services such as EC2, you are able to build highly scalable and performant architectures. AWS also provides a rich set of services which help to remove much of the potentially undifferentiated heavy lifting associated to managing your EC2 based infrastructure. This session will introduce some of these services in the areas of Application Management, Database, Analytics, Security and Enterprise Applications.
Managing WorkSpaces at Scale | AWS Public Sector Summit 2016Amazon Web Services
Amazon WorkSpaces provides businesses with secure, managed desktops in the Amazon cloud, and offers an enhanced security posture, the ability to support the needs of a modern mobile workforce, and the flexibility to scale globally. In this session, you’ll hear about how organizations can simplify end user computing by moving desktops to the cloud. The session will cover identity and access management, network access and design, integration with on-premises IT infrastructure, application delivery, and the end user experience. Generalized deployment model and office in the box with a deconstructed network. You will also hear first-hand from customers who have implemented WorkSpaces and best practices for deploying Amazon WorkSpaces at scale. Topics will include security and network access, identity and access management, application delivery, and end user experience.
AWS re:Invent 2016: Getting Started with Amazon Aurora (DAT203)Amazon Web Services
Amazon Aurora is a MySQL-compatible relational database engine with the speed, reliability, and availability of high-end commercial databases at one-tenth the cost. This session introduces you to Amazon Aurora, explores the capabilities and features of Aurora, explains common use cases, and helps you get started with Aurora. Debanjan Saha, general manager for Aurora, explains how Aurora differs from other commonly available databases while staying compatible with MySQL and providing a high-end, cost-effective alternative to commercial and open-source database engines. In addition, Linda Xu, data architect at Ticketmaster, walks you through Ticketmaster's journey to Amazon Aurora, starting with evaluation through production migration of a critical Ticketmaster database to Amazon Aurora. Ticketmaster is one of the world's top 10 e-commerce companies and the global market leader in ticketing. In this session, Linda discusses how Aurora lets Ticketmaster provide better services to their fans, customers, and clients, and helps reduce the cost and operational burden while giving greater flexibility to support heavy traffic spikes.
WKS420 Create an IoT Gateway & Establish a Data Pipeline to AWS IoT with IntelAmazon Web Services
"In this session, you will learn how to create a complete Gateway based IoT framework – from the edge to the cloud and back. By utilizing an IoT Gateway as a central data collection, processing, and communication hub, you will be able to create IoT connectivity without having to replace legacy hardware. We will show you how to use an Intel NUC gateway and Arduino 101 sensor hub to gather environmental data and step you through establishing a data pipeline to AWS IoT. We will use AWS Lambda to create a rules engine for your data and then send a control signal back down the Intel Gateway.
Learning Objectives:
Gather data locally on a Gateway
Establish connection to AWS IoT
Pass data from AWS IoT to AWS Lambda for processing
Send a control signal back to the Gateway from AWS IoT"
One of the most fundamental challenges of CI/CD is the ability to balance between Quality, Time, and Cost. Amazon EC2 Container Service (ECS), along with Docker and Amazon EC2 Container Registry (ECR), has changed the game for many by making resource management very simple. For Okta, it has enabled the Continuous Integration team to maximize throughput while minimizing cost. In this session we will show you how Okta has created a flexible CI system with ECS, Docker, ECR, AWS Lambda, AWS CloudFormation, Amazon RDS, and Amazon SQS. Okta runs 30,000 tests with each developer commit, and releases 10,000 new lines of code each week to production. The CI system, built 100% on AWS, must be able to handle load while keeping cost under control. This talk is oriented toward developers looking to achieve efficient resource and cost management without compromising speed or quality.
AWS re:Invent 2016: Bring Microsoft Applications to AWS to Save Money and Sta...Amazon Web Services
Running Microsoft workloads on AWS is easy and can save you money. This session will cover how to bring your own Microsoft licenses to AWS, and then demonstrate using PowerShell to import your Windows Server image from Vmware or Hyper-V, configure Windows KMS with your license key, and launch an EC2 Dedicated Host. We will discuss ways you can use AWS Config rules to manage license compliance.
AWS Summit 2014 Melbourne - Breakout 2
Intel is contributing to a common security framework for Apache Hadoop, in the form of Project Rhino, which enables Hadoop to run workloads without compromising performance or security. Join this session to learn how your enterprise can take advantage of the security capabilities in the Intel Data Platform running on AWS to analyze data while ensuring technical safeguards that help you remain in compliance.
Presenter: Peter Kerney, Senior Solution Architect, Intel
AWS Summit 2014 Melbourne - Breakout 1
This session will introduce the key features and different services offered by AWS and demonstrate how you can get started and provide guidance and best practices on choosing the right types of instance, purchasing options, etc that will set you up for long term success on the AWS Cloud.
Presenter: Craig Dickson, Solutions Architect, Amazon Web Services
Big-Data-as-a-Service (BDaaS) in an enterprise environment requires meeting the often contradictory goals of (1) providing your data scientists, analysts, and data engineers with a self-service consumption model; (2) delivering agile and scalable on-demand infrastructure for the rapidly evolving ecosystem of big data frameworks and application software; while (3) ensuring enterprise-grade capabilities for isolation, security, monitoring, etc.
In this presentation at our BDaaS meetup in Santa Clara, Tom Phelan (chief architect and co-founder of BlueData) reviewed these goals and how to resolve the potential contradictions. He also discussed the infrastructure, application, user experience, security, and maintainability considerations required before selecting (or designing and building) a Big-Data-as-a-Service platform for an enterprise big data deployment.
More info on this BDaaS meetup can be found at: http://www.meetup.com/Big-Data-as-a-Service/events/233999817
AWS Summit 2014 Brisbane - Breakout 5
Most organisations are facing ever growing volumes of data that need to be stored and processed but most importantly analysed to bring value to the business. Big Data appears to have solutions to address these challenges but the landscape is littered with acronyms and obscure naming conventions such as MPP, NoSQL, Hadoop, Hive and HBase. Attend this Session to find out
- What is the value proposition for each of these technologies
- How do they fit with more traditional Big Data solutions such as data warehouses?
- How AWS can help organisations get maximum value from their data
Presenter: Russell Nash, Solutions Architect, APAC, Amazon Web Services
AWS Summit Stockholm 2014 – B4 – Business intelligence on AWSAmazon Web Services
Business intelligence is often described as a set of methodologies and technologies that transform raw data into meaningful and useful information for business purposes. But this simple description hides many technical challenges IT teams struggle with. This session will show how to build business intelligence applications leveraging AWS, from the raw data import, consumption and storage down to the information production. We will also cover best practices for services such as Amazon Redshift or Amazon RDS, and how to use applications such as SAP Hana, Jaspersoft and others.
AWS Partner Webcast - Hadoop in the Cloud: Unlocking the Potential of Big Dat...Amazon Web Services
Amazon Elastic MapReduce (Amazon EMR) makes it easy to provision and manage Hadoop in the AWS Cloud. Hadoop is available in multiple distributions and Amazon EMR gives you the option of using the Amazon Distribution or the MapR Distribution for Hadoop.
This webinar will show you examples of how to use Amazon EMR to with the MapR Distribution for Hadoop. You will learn how you can free yourself from the heavy lifting required to run Hadoop on-premises, and gain the advantages of using the cloud to increase flexibility and accelerate projects while lowering costs.
What we'll learn:
• See a live demonstration of how you can quickly and easily launch your first Hadoop cluster in a few steps.
• Examples of real world applications and customer successes in production
• Best practices for maximizing the benefits of using MapR with AWS.
Big Data Day LA 2015 - The AWS Big Data Platform by Michael Limcaco of AmazonData Con LA
Introduction to the AWS Big Data platform, including a discussion of popular use cases and reference architectures (e.g., streaming, real-time intelligence, and analytics). We will review the AWS big data portfolio of services including Amazon S3, Kinesis, DynamoDB, Elastic MapReduce (EMR), Redshift, Aurora and Machine Learning, and learn how customers leverage the platform to manage massive volumes of data from a variety of sources while containing costs.
With AWS you can choose the right database technology and software for the job. Given the myriad of choices, from relational databases to non-relational stores, this session provides details and examples of some of the choices available to you. This session also provides details about real-world deployments from customers using Amazon RDS, Amazon ElastiCache, Amazon DynamoDB, and Amazon Redshift.
Understanding AWS Managed Database and Analytics Services | AWS Public Sector...Amazon Web Services
The world is creating more data in more ways than ever before. The average internet user in 2017 generates 1.5GB of data per day, with the rate doubling every 18 months. A single autonomous vehicle can generate 4TB per day. Each smart manufacturing plant generates 1PB per day. Storing, managing, and analyzing this data requires integrated database and analytic services that provide reliability and security at scale. AWS offers a range of managed data services that let customers focus on making data useful, including Amazon Aurora, RDS, DynamoDB, Redshift, Spectrum, ElastiCache, Kinesis, EMR, Elasticsearch Service, and Glue. In this session, we discuss these services, share our vision for innovation, and show how our customers use these services today. Learn More: https://aws.amazon.com/government-education/
Understanding AWS Managed Database and Analytics Services | AWS Public Sector...Amazon Web Services
The world is creating more data in more ways than ever before. The average internet user in 2017 generates 1.5GB of data per day, with the rate doubling every 18 months. A single autonomous vehicle can generate 4TB per day. Each smart manufacturing plant generates 1PB per day. Storing, managing, and analyzing this data requires integrated database and analytic services that provide reliability and security at scale. AWS offers a range of managed data services that let customers focus on making data useful, including Amazon Aurora, RDS, DynamoDB, Redshift, Spectrum, ElastiCache, Kinesis, EMR, Elasticsearch Service, and Glue. In this session, we discuss these services, share our vision for innovation, and show how our customers use these services today. Learn More: https://aws.amazon.com/government-education/
Calculating dynamic pricing, estimated travel times or detecting fraud in real time. These are all the cases where realtime analytics create the differentiation between experiences. Redis comes with built in types to enable realtime processing of complex analytics with data types like sorted sets, hyperloglog, bloom and cuckoo filters and more.
Scaling your Analytics with Amazon Elastic MapReduce (BDT301) | AWS re:Invent...Amazon Web Services
Big data technologies let you work with any velocity, volume, or variety of data in a highly productive environment. Join the General Manager of Amazon EMR, Peter Sirota, to learn how to scale your analytics, use Hadoop with Amazon EMR, write queries with Hive, develop real world data flows with Pig, and understand the operational needs of a production data platform.
If you're like most of the world, you're on an aggressive race to implement machine learning applications and on a path to get to deep learning. If you can give better service at a lower cost, you will be the winners in 2030. But infrastructure is a key challenge to getting there. What does the technology infrastructure look like over the next decade as you move from Petabytes to Exabytes? How are you budgeting for more colossal data growth over the next decade? How do your data scientists share data today and will it scale for 5-10 years? Do you have the appropriate security, governance, back-up and archiving processes in place? This session will address these issues and discuss strategies for customers as they ramp up their AI journey with a long term view.
Business intelligence is often described as a set of methodologies and technologies that transform raw data into meaningful and useful information for business purposes. But this simple description hides many technical challenges IT teams struggle with. This session will show how to build business intelligence applications leveraging AWS, from the raw data import, consumption and storage down to the information production. We will also cover best practices for services such as Amazon Redshift or Amazon RDS, and how to use applications such as SAP Hana, Jaspersoft and others.
Businesses are generating more data than ever before.
Doing real time data analytics requires IT infrastructure that often needs to be scaled up quickly and running an on-premise environment in this setting has its limitations.
Organisations often require a massive amount of IT resources to analyse their data and the upfront capital cost can deter them from embarking on these projects.
What’s needed is scalable, agile and secure cloud-based infrastructure at the lowest possible cost so they can spin up servers that support their data analysis projects exactly when they are required. This infrastructure must enable them to create proof-of-concepts quickly and cheaply – to fail fast and move on.
(HLS402) Getting into Your Genes: The Definitive Guide to Using Amazon EMR, A...Amazon Web Services
The key to fighting cancer through better therapeutics is a deep understanding of the basic biology of this disease at a cellular and molecular level. Comprehensive analysis of cancer mutations in specific tumors or cancer cell lines by using Life Technologies sequencing and real-time PCR systems generates gigabytes to terabytes of data every day. Our customers bring together this data in studies that seek to discover the genetic fingerprint of cancer. The data typically translates to millions of records in databases that require complex algorithmic processing, cross-application analysis, and interactive visualizations with real-time response (2-3 seconds) to enable users to consume large volumes of complex scientific information.
We have chosen the AWS platform to bring this new era of data analysis power to our customers by using technologies such as Amazon S3, ElastiCache, and DynamoDB for storage and fast access and Amazon EMR for parallelizing complex computations. Our talk tells the story with rich details about challenges and roadblocks in building data-intense, highly interactive applications in the cloud. We also highlight enhanced customer workflows and highly optimized applications with orders of magnitude improvement in performance and scalability.
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
10. Big Data Verticals and Use cases
Media/
Advertising
Targeted
Advertising
Image and
Video
Processing
Oil & Gas
Seismic
Analysis
Retail
Recommendations
Transactions
Analysis
Life
Sciences
Genome
Analysis
Financial
Services
Monte Carlo
Simulations
Risk
Analysis
Security
Anti-virus
Fraud
Detection
Image
Recognition
Social
Network/
Gaming
User
Demographics
Usage
analysis
In-game
metrics
14. 400 GB of logs per day
~12 Terabytes per month
15.
16. 1) Load log file data for six
months of user search history
into Amazon S3
Amazon S3
Search ID Search Text Final Selection
12423451 westen Westin
14235235 wisten Westin
54332232 westenn Westin
12423451
14235235
54332232
12423451
14235235
54332232
12423451
14235235
54332232
12423451
14235235
54332232
12423451
17. Amazon S3 Amazon EMR
Log Files
2) Spin up a 200 node cluster
Hadoop Cluster
18. 3) 200 nodes simultaneously analyze
this data looking for common
misspellings
… this takes a few hours
Hadoop Cluster
Amazon S3 Amazon EMR
19. Amazon S3 Amazon EMR
4) New common misspellings and
suggestions loaded back into S3
Hadoop Cluster
Log Files
20. Amazon S3 Amazon EMR
5) When the job is done, the
cluster is shut down.
Log Files
31. ID Age State
123 20 CA
345 25 WA
678 40 FL
Relational Table
ID Attributes
123 Age:20, State:CA
345 Age:25, Country: Australia, Gender: F, Smoker: No
678 Age:40
Non-Relational Table
37. Data
Sources
App.4
[Machine
Learning]
AWS
Endpoint
App.1
[Aggregate
&
De-‐Duplicate]
Data
Sources
Data
Sources
Data
Sources
App.2
[Metric
ExtracIon]
S3
DynamoDB
Redshift
App.3
[Sliding
Window
Analysis]
Data
Sources
Availability
Zone
Availability
Zone
Shard 1
Shard 2
Shard N
Availability
Zone
Amazon Kinesis
EMR
39. Amazon Mobile Analytics
Fast: get your data within an hour
Automatic MAU, DAU, session and
retention reports
Design and track custom app events
Data is not mined or sold by Amazon
40. Expand your skills with AWS
Certification
Exams
Validate your proven
technical expertise with
the AWS platform
aws.amazon.com/certification
On-Demand
Resources
Videos & Labs
Get hands-on practice
working with AWS
technologies in a live
environment
aws.amazon.com/training/
self-paced-labs
Instructor-Led
Courses
Training Classes
Expand your technical
expertise to design, deploy,
and operate scalable,
efficient applications on AWS
aws.amazon.com/training
41. Big Data Tutorials
aws.amazon.com/big-data
Redshift Free Trial
aws.amazon.com/redshift/free-trial