AWS Online Tech Talks

Type: Service Deep Dive | Level: 300

As organizations face rapidly changing customer demands and increasing competition, the pace of technological innovation continues to accelerate. Organizations are looking for new ways to stay ahead of the curve and streamline the software supply chain, optimize productivity, and become more operationally efficient. Legacy software licensing processes are time-consuming with lengthy procurement cycles that inhibit innovation and lack visibility into software usage across the organization. In order to meet the growing demands and streamline these transitions, many organizations are shifting software procurement processes to cloud marketplaces. The percentage of code that developers leverage from external sources, such as cloud marketplaces, will rise to 80% by 2025 from 30% in 2019 (source: IDC FutureScape, Worldwide IT Industry 2020 Predictions, October 2019). Join this tech talk to learn how to modernize your organization’s software supply chain through AWS Marketplace and its catalog of independent software vendors and services. AWS Marketplace helps streamline procurement processes with enterprise-wide visibility and transparency, simplified subscription and billing, enhanced governance, and optimized IT spend.

What you'll learn:

• Learn best practices for cloud software procurement, provisioning, and management
• Learn how to streamline software procurement while reducing costs
• Understand how procurement professionals leverage AWS Marketplace to accelerate innovation and enable cloud users to rapidly and securely deploy solutions, while improving operational oversight

Speaker(s): Arun Saksena, Principal, Customer Programs, AWS Marketplace

Who Should Attend: Cloud operations and management leaders; Sourcing, procurement and vendor management leaders; Other software supply chain stakeholders looking to streamline procurement and provisioning of software to better enable business innovation

Type: What's New / Cloud Innovation | Level: 200

Companies build data lakes on AWS need a way to govern and secure access to data in order to enable secure self-service analytics. Today, customers need to manage access to data in different tools making it difficult to enforce consistent permissions and audit access. In this tech talk you will learn how to use AWS Lake Formation, a central data governance service, tag-based access controls to manage fine-grained permissions for data in Amazon S3. You will also learn how AWS Lake Formation can enforce column, row and cell-level permissions to restrict access to sensitive information in a consistent, performant and scalable manner.

What you'll learn:

• Understand what is AWS Lake Formation and how it is used to govern and secure data lakes on AWS
• Understand how to secure the data lake using fine grain access controls with tag, row and cell level permissions
• Understand how AWS Lake Formation enforces data access in a scalable, managed and performant manner to offer a consistent experience when access data from a wide range of analytics and ML services

Speaker(s): Sanjay Srivastava, Prin. Product Manager, AWS

Who Should Attend: CIO, CTO, CDO, Data Engineer, Data Analysts, Data Scientist, Data Owner/Steward, Data Security Engineer.

Type: Service Deep Dive | Level: 300

Translation solutions can be used to accelerate text analysis across multiple languages, facilitate communication, or improve the customer experience with localized content. However, translation solutions have traditionally been a time consuming and costly effort. In this tech talk, we will show you how to build a scalable translation solution that combines continuously improving machine translation with human in the loop processing using Amazon Translate and Amazon Augmented AI. See how customers are applying these solutions to reduce translation costs, improve translation quality, build translation IP, and reduce time for delivery across various industries - content localization for direct consumer engagement for retail customers, adverse drug events translation in the life sciences industry, and customer service calls translation in the customer service industry. We’ll wrap up with reference architectures and best practices on customization.

What you'll learn:

• Learn how to design a scalable translation solution with Amazon Translate and Amazon A2I
• Collect post edits from human teams and augment the accuracy of Amazon Translate using Active Custom Translation
• Dive into customer-specific solutions, reference architectures and best practices to learn how you can customize and deploy this solution in your organization

Speaker(s): Mayank Thakkar, Prin. Solutions Architect Global Life Sciences, AWS; Watson Srivathasan, Product Manager, Amazon Translate; Patti Gaves, Enterprise Service Manager, AWS Professional Services

Who Should Attend: Business Decision Makers, IT Decision Makers, IT Managers, Compliance, Legal, Product Safety, R&D Information Research, Developers, Software Engineers

Type: Service How To | Level: 200

When customers need help all they want is a quick and convenient customer service, however delivering an efficient contact center experience can be challenging. Agents often have to piece together information from a variety of tools from multiple vendors across dozens of channels. With Amazon Connect, contact center agents operate from a single user interface (UI) for voice, chat, and tasks. With new Amazon Connect features launched this year, agents are now fully equipped to deliver productive customer conversations without having to learn and interact with a number of different tools. In this tech talk, you'll see demos of the latest Amazon Connect features, and you'll see how customers use Amazon Connect to optimize their customer service across channels.

What you'll learn:

• Explore how to unify voice, chat, and tasks within Amazon Connect to deliver the most convenient customer service
• Learn how to empower agents with intelligent tools to handle contacts more efficiently
• Follow demos to see how Amazon Connect’s agent productivity tools can be applied in your contact center

Speaker(s): Kun Qian, CX Acceleration Specialist, AWS

Who Should Attend: Contact Center Supervisors, IT Developers, Customer Experience Directors, Business Decision Makers

Type: TBD | Level: TBD

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What you'll learn:

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Speaker(s): TBD

Who Should Attend: TBD

Type: Service Intro | Level: 200

Web applications and APIs power essential elements of customers’ businesses, including customer-facing websites and backend services that process business logic. AWS App Runner makes it easy for customers to deploy and run containerized web applications and APIs without having to manage infrastructure or container orchestration. In this tech talk, you’ll gain an understanding of the core benefits and features of AWS App Runner through a service deep dive and learn how to deploy a web application with AWS App Runner through a service demo.

What you'll learn:

• Understand the key customer challenges that AWS App Runner solves for
• Discover the core benefits and features of AWS App Runner
• Learn how to deploy a web application through a demo

Speaker(s): Archana Srikanta, Principal Software Engineer, Serverless Containers, AWS

Who Should Attend: Developers, Software Engineers, Engineering Managers, Product Managers, Engineering Leads, Solution Architects, IT Managers, CTOs

Type: Service Deep Dive | Level: 300

Translation solutions can be used to accelerate text analysis across multiple languages, facilitate communication, or improve the customer experience with localized content. However, translation solutions have traditionally been a time consuming and costly effort. In this tech talk, we will show you how to build a scalable translation solution that combines continuously improving machine translation with human in the loop processing using Amazon Translate and Amazon Augmented AI. See how customers are applying these solutions to reduce translation costs, improve translation quality, build translation IP, and reduce time for delivery across various industries - content localization for direct consumer engagement for retail customers, adverse drug events translation in the life sciences industry, and customer service calls translation in the customer service industry. We’ll wrap up with reference architectures and best practices on customization.

What you'll learn:

• Learn how to design a scalable translation solution with Amazon Translate and Amazon A2I
• Collect post edits from human teams and augment the accuracy of Amazon Translate using Active Custom Translation
• Dive into customer-specific solutions, reference architectures and best practices to learn how you can customize and deploy this solution in your organization

Speaker(s): Mayank Thakkar, Prin. Solutions Architect Global Life Sciences, AWS; Watson Srivathasan, Product Manager, Amazon Translate; Patti Gaves, Enterprise Service Manager, AWS Professional Services

Who Should Attend: Business Decision Makers, IT Decision Makers, IT Managers, Compliance, Legal, Product Safety, R&D Information Research, Developers, Software Engineers

Type: Service How To | Level: 300

Developers need efficient ways to build feature-rich, production grade applications that deliver real-time data with cloud-enabled backends. In this tech talk, we’ll demonstrate how AWS services simplify and speed up full stack, serverless mobile app development. We’ll build out an Apple CarPlay app that uses Swift for both the UI and backend services in AWS. Using AWS Amplify libraries we’ll easily connect the client to the backend. We’ll incorporate Amazon Location Service to provide data about current location and nearby points of interest such as coffee, food, and fuel. From there we’ll use AWS AppSync to create GraphQL APIs for subscriptions and queries that deliver real-time data to users. We’ll incorporate the latest features of AWS Lambda to develop functions written in Swift. We will then deploy them to AWS as Docker images using the Cloud Development Kit (CDK).

What you'll learn:

• Get an overview of AWS Amplify tools and services
• Understand GraphQL subscriptions to easily add real-time functionalities to your application
• Make your application location aware and Apple CarPlay enabled

Speaker(s): David Moser, Sr. Solution Architect, AWS

Who Should Attend: Front-End Application Developers, Full Stack Application Developers, Application Developers, Solution Architects, API Developers

Type: Service Deep Dive | Level: 200

Amazon Redshift data sharing enables instant, granular, and high-performance data access across Amazon Redshift clusters without the need to copy or move it. With data sharing, you can enable multiple workloads to access live data inside the same account or across accounts (preview) and not be concerned about resource contention. Join this tech talk to learn about use cases including workload isolation, cross-group collaboration, data and analytics as a service, and development agility, and how to get started.

What you'll learn:

• Hear about the latest Amazon Redshift data sharing features and benefits
• Understand use cases for Amazon Redshift data sharing
• Learn how to get started

Speaker(s): Neeraja Rentachintala, Prin. Product Manager, AWS

Who Should Attend: Data Engineers, Data Analysts, Database Administrators, Analytics Leaders

Type: Service How To | Level: 300

Contact Center agents are increasingly working from home while accessing sensitive corporate and customer information. Organizations are looking for ways for these agents to securely access the contact center and other applications they need in order to get their job done. Amazon AppStream 2.0 and Amazon WorkSpaces are fully managed cloud native desktop virtualization services that enable this secure access and can be deployed to new agents in minutes not months. Designed for IT Decision Makers for End User Computing and Contact Center business leaders, this session will provide an in-depth look at how Amazon AppStream 2.0 and Amazon WorkSpaces can provide secure remote access anywhere, anytime from any device, and will deep dive on best practices in architecting for a scaled contact center. This session features Maximus - a leading provider of health and human services worldwide – detailing how they architected their 40K seat WorkSpaces deployment for contact center agents.

What you'll learn:

• Understand how Amazon AppStream 2.0 and Amazon WorkSpaces can help provide secure access to remote agents
• Understand the key questions to ask when deploying AppStream 2.0 and WorkSpaces for the contact center
• Learn best practices for deploying AppStream 2.0 and WorkSpaces for the contact center

Speaker(s): Sam Goad, Sr. US EUC Specialist SA, AWS; Jason Winters, Principal Architect Maximus Technology Architecture; John Farinelli, Sr. Cloud Solutions Architect Maximus Cloud Center of Excellence

Who Should Attend: IT Decision Makers for End User Computing and Contact Center Business Leaders

Type: Service How To | Level: 300

Contact Center agents are increasingly working from home while accessing sensitive corporate and customer information. Organizations are looking for ways for these agents to securely access the contact center and other applications they need in order to get their job done. Amazon AppStream 2.0 and Amazon WorkSpaces are fully managed cloud native desktop virtualization services that enable this secure access and can be deployed to new agents in minutes not months. Designed for IT Decision Makers for End User Computing and Contact Center business leaders, this session will provide an in-depth look at how Amazon AppStream 2.0 and Amazon WorkSpaces can provide secure remote access anywhere, anytime from any device, and will deep dive on best practices in architecting for a scaled contact center. This session features Maximus - a leading provider of health and human services worldwide – detailing how they architected their 40K seat WorkSpaces deployment for contact center agents.

What you'll learn:

• Understand how Amazon AppStream 2.0 and Amazon WorkSpaces can help provide secure access to remote agents
• Understand the key questions to ask when deploying AppStream 2.0 and WorkSpaces for the contact center
• Learn best practices for deploying AppStream 2.0 and WorkSpaces for the contact center

Speaker(s): Sam Goad, Sr. US EUC Specialist SA, AWS; Jason Winters, Principal Architect Maximus Technology Architecture; John Farinelli, Sr. Cloud Solutions Architect Maximus Cloud Center of Excellence

Who Should Attend: IT Decision Makers for End User Computing and Contact Center Business Leaders

Type: Service Intro | Level: 100

Customers have asked for a simpler way to migrate their business-critical applications to the cloud, so they can modernize their applications and quickly innovate. AWS Application Migration Service (AWS MGN) is a lift-and-shift solution that simplifies and accelerates the migration of all types of applications to AWS by automating and orchestrating the replication of complete servers and launching them on AWS. Join this tech talk to learn why lift and shift offers a fast, cost-effective approach to migration, how AWS MGN enables organizations to move applications to AWS with minimal disruption, and how to prepare for a cutover that can be measured in just minutes.

What you'll learn:

• Learn how to build the business case for a lift-and-shift migration.
• Delve into how AWS MGN and a lift-and-shift strategy resolves many of the common migration challenges customers face.
• See how you can use AWS MGN for the same straightforward migration process, regardless of source infrastructure, operating system, or the application being migrated.

Speaker(s): Melash Moodley, Solution Architect, Migration, AWS

Who Should Attend: Cloud Architect, Manager / Director of Cloud Operations, Manager / Director of IT, Cloud Engineer, Cloud Sponsor, Migration Tech Lead, VP Platforms, VP Infrastructure

Type: Use Case How To | Level: 200

Modernizing your machine learning development process can accelerate your pace of innovation by providing scalable infrastructure, integrated tooling, healthy practices for responsible use of ML, a choice of tools accessible to builders of all data science skill levels, and efficient resource management to keep costs the lowest. In this tech talk, learn about how Amazon SageMaker can help you modernize your ML development, enabling data scientists and developers to build, train, and deploy ML models at scale for virtually any use case.

What you'll learn:

• Learn what modernizing machine learning development means
• Learn how Amazon SageMaker helps modernize ML
• Hear customer stories about the impact of ML modernization

Speaker(s): Bob Maus, Head of WW ML Services Specialists, AWS

Who Should Attend: Line of Business Owners, CIO/CTO, Technical Decision Makers, and ML Program Managers

Type: Solutions Best Practices | Level: 300

Learn a new way to easily integrate AWS Lambda with your favorite monitoring, observability, security, and governance tools. Come dive into the AWS Lambda function lifecycle to see how Lambda extensions work. This tech talk guides you through installing, configuring, and running extensions and showcases common use cases where extensions can help you get more from your serverless applications. Find out how you can build your extensions to integrate your custom tooling.

What you'll learn:

• Learn about what extensions are, how they integrate deeply with AWS Lambda
• Find out how to install, configure, and run extensions
• Discover how to build an extensions to integrate your custom tools by controlling the Lambda lifecycle

Speaker(s): Julian Wood, Sr. Serverless Developer Advocate, AWS

Who Should Attend: Application Developers and Operators, Solutions Architects, Engineering Managers

Type: Service Deep Dive | Level: 300

Amazon DynamoDB offers a fully managed, multi-region, multi-active database that is enterprise-ready, serverless, and delivers single-digit millisecond performance at any scale. In this tech talk, we’ll review the latest feature launches for DynamoDB that add new functionality to help streamline and monitor your DynamoDB usage, including integration with other AWS services. These launches include AWS CloudTrail support for data-plane logging of API activity for DynamoDB and DynamoDB Streams and improvements to the NoSQL Workbench for DynamoDB. In addition, we’ll cover AWS CloudFormation’s two new resources to allow you to manage Amazon Kinesis Data Streams for DynamoDB and Amazon CloudWatch Contributor Insights for DynamoDB with CloudFormation stacks.

What you'll learn:

• Learn about DynamoDB’s key benefits including performance at scale, serverless, and enterprise-ready
• Learn about the latest feature launches that help streamline and monitor your DynamoDB usage, including integration with other AWS services
• Understand when to use key features based on specific use cases

Speaker(s): Sean Shriver, DynamoDB Solutions Architect, AWS

Who Should Attend: Developers, DBAs, Solution Architects, DevOps Engineers, IT Managers, System Admins

Type: Service How To | Level: 200

It’s easier than ever to grow your compute capacity and enable new types of cloud computing applications while maintaining the lowest total cost of ownership (TCO) by blending EC2 Spot Instances, On-Demand Instances, and Savings Plans purchase models. In this tech talk, learn how to use the power of EC2 Auto Scaling with AWS services such as Amazon ECS, Amazon EKS, and AWS Batch to programmatically optimize costs while maintaining high performance and availability. Dive deep into cost-optimization patterns for workloads such as containers, web services, CI/CD, batch, big data, and more.

What you'll learn:

• Learn to leverage Cost and Capacity recommendations optimally to enable ease of use and save time
• Learn how to use the power of EC2 Fleet with AWS services to programmatically optimize costs while maintaining high performance and availability
• Understand cost-optimization opportunities for workloads such as containers, web services, CI/CD, batch, big data, and more

Speaker(s): Aparajita Jas, Sr EC2 Spot GTM Spec, AWS

Who Should Attend: DevOps, IT Managers, IT Infrastructure Engineers

Type: Solutions Best Practices | Level: 200

More than ever before, consumers rely on their home networks for work, entertainment, and day-to-day life. Consumers are connecting more and more smart devices to the network, rely on high-speed connections to work from home, and stream rich content such as HD movies and video games. To power these experiences, telcos and communication service providers (CSPs) use a range of Customer Premises Equipment (CPE) (i.e. Set Top Boxes (STB), Broadband Routers, Wi-Fi Extenders, and Home Gateways) to deliver service offerings to customers. In this tech talk, we will discuss how Service Providers are using the cloud to develop innovative strategies that help them gather new data insights from their CPE device fleets and improve the way CPE devices are managed. With CPE data available for analysis in the cloud, service providers can use analytics and AI/ML tools to solve business problems (customer churn and retention analytics, predictive hardware diagnostics) and to improve their customer’s quality of experience (self-healing intelligent CPE devices, as an example). This session demonstrates how Service Providers can use AWS and AWS IoT services to enhance their current CPE management platforms, connect CPE devices securely to the cloud at scale, and to make use of the CPE data to improve their products and enhance consumer experiences.

What you'll learn:

• Learn use cases for the next generation of CPE devices powered by IoT, AI/ML and application management at the edge
• Learn how Service Providers can securely and easily enhance their CPE data analytics and device management systems with AWS and AWS IoT
• Understand how AWS and AWS IoT services can help Service Providers transform their broadband service and related offerings to deliver differentiated consumer experiences

Speaker(s): Lowry Snow, Worldwide IoT GTM Lead, Consumer IoT, AWS; Alina Dima, Sr. IoT Consultant, AWS; David Malone, Sr. IoT Specialist Solutions Architect, AWS; Michael Philpott, Research Director, Service Provider Consumer, Omdia

Who Should Attend: CIOs, VP or Director of Technology, VP of Finance/CFO, Cloud Architect, VP/Director of IT, CPE software owners at telcos and communication service providers (CSPs)

Type: Solutions Best Practices | Level: 300

Not all documents are the same, for example, insurance claims can have tables, forms, dense text, or free form text. Extracting the data on these documents can take many people hours, multiple workflows, and often times doesn’t sync with downstream systems. How do you pull all the data points off the page using Machine Learning (ML)? Learn how Liberty Mutual processes insurance claims using AWS machine learning to overcome manual processes, reduce cost per claim, and speed up response times for their customers.

What you'll learn:

• Learn how ML can help automate your document pipeline to reduce manual efforts
• Learn how to use Natural Language Processing (NLP) and Optical Character Recognition (OCR) to process insurance claims with varying document formats
• Hear from Liberty Mutual on how they use ML to automated data processing across the insurance value chain

Speaker(s): Sameer Karnik, Product Manager, Amazon Comprehend; Dave McFadden, Solutions Engineer, Liberty Information Technology; Gillian Armstrong, Solutions Engineer, Liberty Information Technology

Who Should Attend: Business Decision Makers, Technical Decision Makers, Developers

Type: Service How To | Level: 200

Customers today expect real-time response from the applications they engage with. Developers are moving their monolithic architectures to microservices to better serve these end users with low latency, high throughput, and massive scale. In this tech talk, learn how to use Amazon ElastiCache for Redis in modern, scalable microservices architectures. We’ll talk about how ElastiCache for Redis enables common in-memory use cases and patterns. Learn with a live demo to understand how these microservices architectures come together using AWS Services.

What you'll learn:

• Learn drivers and benefits of moving from monolithic software architectures to microservices
• Learn common use cases and patterns for Redis within microservices architectures
• See examples of Amazon ElastiCache for Redis within Kubernetes orchestrated microservices

Speaker(s): Zach Gardner, Sr. ElastiCache Solutions Architect , AWS

Who Should Attend: Developers, Software Engineers, DevOps Engineers, IT, Application Architects, CIOs, Tech Decision Makers

Type: Service Intro | Level: 200

AWS Local Zones are a new type of AWS infrastructure deployment that places AWS compute, storage, database, and other select services close to large population, industry, and IT centers. With AWS Local Zones, you can easily run applications that need single-digit millisecond latency closer to end-users in a specific geography. AWS Local Zones are ideal for use cases such as media & entertainment content creation, real-time gaming, hybrid migration/deployment, live video streaming, and machine learning inference at the edge. In this tech talk, you will learn about how the new Local Zones in Boston, Houston, and Miami help customers deliver new customer experiences and innovative applications in the healthcare, oil and gas, and gaming industries. You will see how customers are using AWS Local Zones and learn about best practices for architecting your applications to meet low latency requirements.

What you'll learn:

• Learn about AWS Local Zones
• Understand how it works to support low latency workloads
• Explore use cases for AWS Local Zones and best practices for architecting applications for low latency

Speaker(s): Pranav Chachra, Sr. Product Manager, EC2, AWS; Wayne Carter, VP Engineering, Couchbase

Who Should Attend: Developers, Software Engineers, DevOps Engineers, IT, Cloud Engineers, IT Infrastructure Directors, Managers, and Administrators

Type: Solutions Best Practices | Level: 200

Amazon Managed Streaming for Apache Kafka (MSK) now supports integration with AWS Identity and Access Management (IAM) for authentication and authorization. You can now use IAM polices to securely access Amazon MSK Apache Kafka resources. This tech talk will dive deep on advantages, ease of use, and more details on using IAM with Amazon MSK. Amazon Kinesis Data Analytics allows customers to build stream processing applications in multiple languages, including SQL. In this session, we'll also walk through how to do streaming joins in SQL against data read from Amazon MSK.

What you'll learn:

• Learn how to use AWS IAM with Amazon MSK to create and use policies to secure resources
• Explore the advantages of IAM authentication with Amazon MSK and Amazon Kinesis Data Analytics for stream processing
• Learn about new stream processing capabilities for MSK, and how to use Identity and Access Management (IAM) to secure access to MSK clusters and Apache Kafka

Speaker(s): Mitch Henderson, Sr. Streaming Data SSA, AWS; Jeremy Ber, Analytics Specialist SA, AWS

Who Should Attend: Data Engineers, Security Architects, Solution Architects, Developers, IT Managers

Type: What's New / Cloud Innovation | Level: 200

Amazon RDS is a fully managed database service that allows 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. In this tech talk, see all the new capabilities launched for Amazon RDS across the different engines and review the latest available features.

What you'll learn:

• Get an overview of Amazon RDS and how you can set up, operate, and scale a relational database in the cloud
• Get an overview of new Amazon RDS features and capabilities and see how you can use Amazon RDS to build highly scalable, available, and reliable apps
• See how you can add these new features to your Amazon RDS instance with just a few clicks

Speaker(s): Aditya Samant, Sr. Database Specialist SA, AWS

Who Should Attend: Developers, Architects, DBAs, DevOps roles, IT Leaders

Type: Solutions Best Practices | Level: 300

Using the right messaging patterns between your services can help with durability, availability, and reducing custom code. This talk shows how to use AWS services to build robust messaging patterns into the foundation of your application architecture. You can use Amazon SQS, Amazon SNS, and Amazon EventBridge to introduce fanout, queuing, and decoupling between your services. But you can also use these services in combinations to create powerful architectures that make your workloads scale. This tech talk explains when to use these advanced patterns and provides infrastructure as code templates you can use in your own applications. After this talk, you'll see how to take advantage of services and reduce the amount of custom code to maintain.

What you'll learn:

• Learn about advanced patterns for queues, topics, buses
• Understand when to pick different patterns for different event processing use-cases
• See how to think about security for multi-account, multi-team patterns

Speaker(s): Talia Nassi, Sr. Serverless Developer Advocate, AWS

Who Should Attend: Application Developers and Operators, Solutions Architects, Engineering Managers

Type: TBD | Level: 100

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Speaker(s): TBD

Who Should Attend: TBD

Type: Service Deep Dive | Level: 300

Many applications, including those built on modern serverless architectures, have large numbers of open connections to the database server, and may open and close database connections at a high rate, exhausting database memory and compute resources. Applications that support highly variable workloads, for example, may attempt to open a burst of new database connections. Applications built on technologies such as serverless, PHP, or Ruby on Rails also open and close database connections frequently to serve application requests. In this tech talk, learn how RDS Proxy, a fully-managed, highly available, and easy-to-use database proxy feature, reduces the stress on database compute and memory resources that typically occurs when new connections are established, resulting in improved scalability, availability, and application security.

What you'll learn:

• Learn how to improve Aurora scalability with connection pooling
• Learn how to improve Aurora availability and reduce failover times up to 66%
• Learn how to improve and better manafe application security

Speaker(s): Surendar Munimohan, Sr. Database Solutions Architect (MySQL), AWS

Who Should Attend: Developers & DBAs

Type: Use Case How To | Level: 200

Transforming your operations is critical to operating effectively in AWS, especially when supporting a migration. Leveraging proven AWS migration methodologies and best practices increases the likelihood of success when preparing for, executing, and supporting a migration. In this tech talk, we’ll discuss the common challenges faced during migrations and best practices for overcoming them. We’ll also dive into how AWS Managed Services can help you accelerate your migration and enhance your operational capabilities post-migration.

What you'll learn:

• Explore the common challenges of migrations and best practices for overcoming those challenges
• Learn best practices around cloud operations and successful migrations
• Explore the AWS Managed Services modes and see how they optimize operational capabilities

Speaker(s): Michael McGarvey, Principal Delivery Manager, AWS Managed Cloud

Who Should Attend: Architects, CIO, CTO, IT VP, IT Director, Technical Decision Makers