Amazon DynamoDB is a fully managed, highly scalable distributed database service. Global Secondary Indexes (GSI) give you the flexibility to query your DynamoDB tables in new and powerful ways.
In this session, we will:
• Describe how GSI's work under the covers to ensure consistent low latency at any scale.
• Walk through various access patterns so that you will learn how to take full advantage of GSI's and implement best practice designs that will scale efficiently and cost-effectively.
This session is designed for developers and architects seeking to build rich applications that require performance and availability with absolute data durability.
DynamoDB In-Depth: In this technical discussion, learn how to use DynamoDB for your mobile and web apps, and how to pick the right database for your app. We will cover the fundamental concepts and how to go about architecting your app on DynamoDB. Plus, gain key insights to help you make the most out of DynamoDB.
Developer Drill Down: Come learn with live examples of a DynamoDB application integrating with other data services on AWS to enrich your app. This is a developer driven interactive session focused on building real-life applications.
Amazon DynamoDB is a fully managed, highly scalable distributed database service. In this technical talk, we show you how to use Amazon DynamoDB to build high-scale applications like social gaming, chat, and voting. We show you how to use building blocks such as secondary indexes, conditional writes, consistent reads, and batch operations to build the higher-level functionality such as multi-item atomic writes and join queries. We also discuss best practices such as index projections, item sharding, and parallel scan for maximum scalability.
Speakers:
Philip Fitzsimons, AWS Solutions Architect
Richard Freeman, PhD, Senior Data Scientist/Architect, JustGiving
(BDT203) From Zero to NoSQL Hero: Amazon DynamoDB Tutorial | AWS re:Invent 2014Amazon Web Services
Got data? Interested in learning about NoSQL? In this session, we take you from not knowing anything about Amazon DynamoDB to being able to build an advanced application on top of DynamoDB. We start with an overview of the service, basic fundamental concepts, and then dive right in to a hands-on follow along tutorial in which you: create your own table, make queries, add secondary indexes to existing tables, query against the secondary indexes, modify your indexes, as well as detect changes to your data in DynamoDB to build all kinds of analytics and complex event processing apps. You can walk in a novice with DynamoDB, but rest assured, you will walk out as a NoSQL expert ready to tackle large distributed systems problems with your database problems addressed with DynamoDB.
AWS July Webinar Series - Getting Started with Amazon DynamoDBAmazon Web Services
This webinar provides an overview of Amazon DynamoDB, a fast, flexible, and fully managed NoSQL database service for Mobile, Web, AdTech, IOT and Gaming applications that need consistent, single-digit millisecond latency at any scale.The webinar will cover key topics around general architecture of DynamoDB, data types, throughput provisioning, querying and indexing, and recent features.
The webinar includes a live demo of the basic operations used to read and write data to a DynamoDB table, and how the concept of provisioned IO affects the throughput of these operations.
Learning Objectives:
Enable users to understand how DynamoDB works so that they can evaluate and use DynamoDB as the data store for their application
This document summarizes tips and best practices for using DynamoDB. It discusses using local secondary indexes (LSI) and global secondary indexes (GSI) to query data. It covers scaling DynamoDB tables by partitioning and provisioning throughput. Common data modeling patterns like one-to-one, one-to-many, and many-to-many relationships are presented. Best practices for time series data, caching frequently accessed items, and optimizing queries are provided. Examples of using DynamoDB for game analytics and metadata storage in S3 are also included.
DynamoDB is a NoSQL database service built for fast, scalable, consistent performance. This presentation introduces DynamoDB and discusses how to get started, provision throughput, design for the DynamoDB data model, query and scan tables and scale reads and writes without downtime.
Amazon DynamoDB Design Patterns for Ultra-High Performance Apps (DAT304) | AW...Amazon Web Services
The document summarizes a presentation on advanced design patterns for building ultra-high performance apps using Amazon DynamoDB. The presentation covers using hash and range schemas to model social networks, secondary indexes for flexible querying of image data, conditional writes for synchronizing game state, and fine-grained access control for user data. Examples are provided for each pattern discussed.
DynamoDB In-Depth: In this technical discussion, learn how to use DynamoDB for your mobile and web apps, and how to pick the right database for your app. We will cover the fundamental concepts and how to go about architecting your app on DynamoDB. Plus, gain key insights to help you make the most out of DynamoDB.
Developer Drill Down: Come learn with live examples of a DynamoDB application integrating with other data services on AWS to enrich your app. This is a developer driven interactive session focused on building real-life applications.
Amazon DynamoDB is a fully managed, highly scalable distributed database service. In this technical talk, we show you how to use Amazon DynamoDB to build high-scale applications like social gaming, chat, and voting. We show you how to use building blocks such as secondary indexes, conditional writes, consistent reads, and batch operations to build the higher-level functionality such as multi-item atomic writes and join queries. We also discuss best practices such as index projections, item sharding, and parallel scan for maximum scalability.
Speakers:
Philip Fitzsimons, AWS Solutions Architect
Richard Freeman, PhD, Senior Data Scientist/Architect, JustGiving
(BDT203) From Zero to NoSQL Hero: Amazon DynamoDB Tutorial | AWS re:Invent 2014Amazon Web Services
Got data? Interested in learning about NoSQL? In this session, we take you from not knowing anything about Amazon DynamoDB to being able to build an advanced application on top of DynamoDB. We start with an overview of the service, basic fundamental concepts, and then dive right in to a hands-on follow along tutorial in which you: create your own table, make queries, add secondary indexes to existing tables, query against the secondary indexes, modify your indexes, as well as detect changes to your data in DynamoDB to build all kinds of analytics and complex event processing apps. You can walk in a novice with DynamoDB, but rest assured, you will walk out as a NoSQL expert ready to tackle large distributed systems problems with your database problems addressed with DynamoDB.
AWS July Webinar Series - Getting Started with Amazon DynamoDBAmazon Web Services
This webinar provides an overview of Amazon DynamoDB, a fast, flexible, and fully managed NoSQL database service for Mobile, Web, AdTech, IOT and Gaming applications that need consistent, single-digit millisecond latency at any scale.The webinar will cover key topics around general architecture of DynamoDB, data types, throughput provisioning, querying and indexing, and recent features.
The webinar includes a live demo of the basic operations used to read and write data to a DynamoDB table, and how the concept of provisioned IO affects the throughput of these operations.
Learning Objectives:
Enable users to understand how DynamoDB works so that they can evaluate and use DynamoDB as the data store for their application
This document summarizes tips and best practices for using DynamoDB. It discusses using local secondary indexes (LSI) and global secondary indexes (GSI) to query data. It covers scaling DynamoDB tables by partitioning and provisioning throughput. Common data modeling patterns like one-to-one, one-to-many, and many-to-many relationships are presented. Best practices for time series data, caching frequently accessed items, and optimizing queries are provided. Examples of using DynamoDB for game analytics and metadata storage in S3 are also included.
DynamoDB is a NoSQL database service built for fast, scalable, consistent performance. This presentation introduces DynamoDB and discusses how to get started, provision throughput, design for the DynamoDB data model, query and scan tables and scale reads and writes without downtime.
Amazon DynamoDB Design Patterns for Ultra-High Performance Apps (DAT304) | AW...Amazon Web Services
The document summarizes a presentation on advanced design patterns for building ultra-high performance apps using Amazon DynamoDB. The presentation covers using hash and range schemas to model social networks, secondary indexes for flexible querying of image data, conditional writes for synchronizing game state, and fine-grained access control for user data. Examples are provided for each pattern discussed.
SQL to NoSQL Best Practices with Amazon DynamoDB - AWS July 2016 Webinar Se...Amazon Web Services
Applications have traditionally stored data in a relational database management system (RDBMS) and have used a Structured Query Language (SQL) to retrieve and update that data. The growth of “internet scale” apps, such as e-commerce, social media, mobile apps, and the rise of big data have increased data throughput demands beyond the range of traditional relational databases. Non-relational (NoSQL) databases enables your application to scale more cost effectively, even for extraordinarily high demand. Amazon DynamoDB is a fully managed NoSQL database service that lets you focus on your app so you don’t have to worry about hardware acquisition or database management and lets you scale down your costs for off-peak periods. In this webinar, we’ll describe common database tasks, then compare and contrast SQL with equivalent DynamoDB operations.
Learning Objectives:
• Why consider the switch from SQL to NoSQL?
• Benefits of Amazon’s NoSQL database service
• Common SQL database operations and their DynamoDB equivalents
In this session, we explore Amazon DynamoDB capabilities and benefits in detail and discusses how to get the most out of your DynamoDB database. We go over schema design best practices with DynamoDB across multiple use cases, including gaming, AdTech, IoT, and others. We also explore designing efficient indexes, scanning, and querying, and go into detail on a number of recently released features, including JSON document support, Streams, and more.
If you’re familiar with relational databases, designing your app to use a fully-managed NoSQL database service like Amazon DynamoDB may be new to you. In this webinar, we’ll walk you through common NoSQL design patterns for a variety of applications to help you learn how to design a schema, store, and retrieve data with DynamoDB. We will discuss best practices with DynamoDB to develop IoT, AdTech, and gaming apps.
The document provides an overview of Amazon DynamoDB, including its key capabilities like auto scaling, on-demand throughput capacity, and integration with other AWS services; it also discusses DynamoDB fundamentals like data modeling techniques, partitioning strategies to scale workload, and using secondary indexes to enable richer queries. Use cases that benefit from DynamoDB include applications that require massive scale, predictable low latency, or flexible schemas to support unstructured or semi-structured data like IoT, gaming metadata, social feeds, and e-commerce cart data.
Amazon DynamoDB is a fully managed, highly scalable distributed database service. In this technical talk, we will deep dive on how to: Use DynamoDB to build high-scale applications like social gaming, chat, and voting. - Model these applications using DynamoDB, including how to use building blocks such as conditional writes, consistent reads, and batch operations to build the higher-level functionality such as multi-item atomic writes and join queries. - Incorporate best practices such as index projections, item sharding, and parallel scan for maximum scalability
This document provides an overview and agenda for a presentation on Amazon DynamoDB. It discusses key concepts like tables, data types, partitioning, indexing and scaling in DynamoDB. It also provides best practices and examples for modeling different data scenarios like event logging, product catalogs, messaging apps and multiplayer games.
This document summarizes a presentation on building applications with DynamoDB. The presentation covers:
- Getting started with DynamoDB by making two decisions - choosing a primary key and provisioning throughput - and making one API call to create a table.
- Data modeling concepts in DynamoDB including tables, items, attributes, primary keys, and queries. Common patterns like modeling relationships and handling large items are also discussed.
- Programming the DynamoDB API and available operations like PutItem, GetItem, Query and Scan. Conditional updates, batch operations, and pagination of results are also covered.
- Real-world data modeling examples including storing scores and leaderboards for an online game and creating
Amazon DynamoDB and Amazon RDS Deep Dive provides an overview of Amazon DynamoDB and Amazon RDS. It discusses how DynamoDB can provide real-time weather updates, make video gamers happy, and scale to millions of users by delivering billions of page flips through its consistent and predictable performance on solid-state drives with seamless scalability. It also discusses how RDS can remove operational burdens like backups, recovery, patching and upgrades through its managed service allowing developers to focus on their applications.
Learning Objectives:
- Learn the capabilities of Amazon DynamoDB in detail
- Learn best practices for schema design with DynamoDB
- Learn use cases for Non-relational (NoSQL) Databases
Amazon DynamoDB is a fully managed NoSQL database service for applications that need consistent, single-digit millisecond latency at any scale. This talk explores DynamoDB capabilities and benefits in detail and discusses how to get the most out of your DynamoDB database. We go over schema design best practices with DynamoDB across multiple use cases, including gaming, AdTech, IoT, and others. We also explore designing efficient indexes, scanning, and querying, and go into detail on a number of recently released features, including JSON document support, Streams, and more.
AWS re:Invent 2016: Deep Dive on Amazon DynamoDB (DAT304)Amazon Web Services
Explore Amazon DynamoDB capabilities and benefits in detail and learn how to get the most out of your DynamoDB database. We go over best practices for schema design with DynamoDB across multiple use cases, including gaming, AdTech, IoT, and others. We explore designing efficient indexes, scanning, and querying, and go into detail on a number of recently released features, including JSON document support, DynamoDB Streams, and more. We also provide lessons learned from operating DynamoDB at scale, including provisioning DynamoDB for IoT.
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. You can use Amazon DynamoDB to create a database table that can store and retrieve any amount of data, and serve any level of request traffic. Amazon DynamoDB automatically spreads the data and traffic for the table over a sufficient number of servers to handle the request capacity specified by the customer and the amount of data stored, while maintaining consistent and fast performance.
This document provides an overview and summary of a presentation on Amazon DynamoDB. The presentation will cover DynamoDB tables, APIs, data types, indexes, scaling, data modeling, scenarios and best practices. It will also discuss using DynamoDB Streams to enable cross-region replication and integration with other AWS services like S3, CloudSearch, ElastiCache and Redshift. The goal is to teach design patterns and best practices for building highly scalable applications with DynamoDB.
This session will begin with an introduction to non-relational (NoSQL) databases and compare them with relational (SQL) databases. Learn the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service, and see the DynamoDB console first-hand. See a walk-through demo of building a serverless web application using this high-performance key-value and JSON document store.
This document provides an overview and summary of key aspects of DynamoDB, including:
1. DynamoDB is a fully managed NoSQL database that scales to any workload and provides fast and consistent performance.
2. DynamoDB uses a table structure with partition and sort keys to organize and access data, and scales both read and write throughput independently across partitions.
3. Common challenges include hot keys/partitions that can cause throttling, and designing schemas and partitions to spread access uniformly across the keyspace.
4. NoSQL data modeling focuses on aggregations rather than relations, using patterns like hierarchical data structures and parent-child relationships to model one-to-many and many-to-
Jim Scharf will give a presentation on Getting Started with Amazon DynamoDB. The presentation will provide a brief history of data processing, compare relational and non-relational databases, explain DynamoDB tables and indexes, scaling, integration capabilities, pricing, and include customer use cases. The agenda also includes time for Q&A.
Following the Amazon DynamoDB Deep Dive session, this workshop is a design session (no computer needed) in which we will work through several real world DynamoDB use cases. For each one, we will go over the requirements, propose and analyze possible solutions and their pros and cons, with an eye for performance efficiency, scalability, and cost optimization.
Amazon DynamoDB is a fully managed NoSQL database service for applications that need consistent, single-digit millisecond latency at any scale. This talk explores DynamoDB capabilities and benefits in detail and discusses how to get the most out of your DynamoDB database. We go over schema design best practices with DynamoDB across multiple use cases, including gaming, AdTech, IoT, and others. We also explore designing efficient indexes, scanning, and querying, and go into detail on a number of recently released features, including JSON document support, Streams, and more.
by Edin Zulich, NoSQL Solutions Architect, AWS
Following the DynamoDB Deep Dive session, this workshop is a design session (no computer needed) in which we will work through several real world DynamoDB use cases. For each one, we will go over the requirements, propose and analyze possible solutions and their pros and cons, with an eye for performance efficiency, scalability, and cost optimization. Level: 300
AWS re:Invent 2016: Amazon Aurora Best Practices: Getting the Best Out of You...Amazon Web Services
Amazon Aurora is a fully managed relational database engine that provides higher performance, availability and durability than previously possible using conventional monolithic database architectures. After launching a year ago, we continued adding many new features and capabilities to Aurora. In this session AWS Aurora experts will discuss the best practices that will help you put these capabilities to the best use. You will also hear from Amazon Aurora customer Intercom on the best practices they adopted for moving live databases with over two billion rows to a new datastore in Amazon Aurora with almost no downtime or lost records.
Intercom was founded to provide a fundamentally new way for Internet businesses to communicate with customers at scale. For growing startups like Intercom, it’s natural for the load on datastores to grow on a weekly basis. The usual solution to this problem is to get a bigger box from AWS. But very soon you reach a point where bigger boat is not an option anymore. You will learn about the benefits of moving to such a datastore, the problems it introduced, and all about the new ability for scaling that was not there before.
Best Practices for NoSQL Workloads on Amazon EC2 and Amazon EBS - February 20...Amazon Web Services
Learn how to optimize your NoSQL database on AWS for cost, efficiency, and scale. NoSQL databases are great for modern datasets that require simplicity in design, handle structured and unstructured data, scale horizontally, and offer finer control over availability. With AWS, you have options for running NoSQL on Amazon EC2 with Amazon EBS or on Amazon DynamoDB. This webinar will dive deep into best practices and architectural considerations for designing and managing NoSQL databases like Cassandra, MongoDB, CouchDB, and Aerospike on EC2 and EBS. We will share best practices around instance and volume selection, provide performance tuning hints, and describe cost optimization techniques.
Learning Objectives:
• Learn about common NoSQL database options and use cases for Cassandra, MongoDB, CouchDB, and Aerospike
• Review best practices around architecting on AWS for different NoSQL databases
• Understand the cost vs. performance of different Amazon EC2 instances and Amazon EBS volumes
SQL to NoSQL Best Practices with Amazon DynamoDB - AWS July 2016 Webinar Se...Amazon Web Services
Applications have traditionally stored data in a relational database management system (RDBMS) and have used a Structured Query Language (SQL) to retrieve and update that data. The growth of “internet scale” apps, such as e-commerce, social media, mobile apps, and the rise of big data have increased data throughput demands beyond the range of traditional relational databases. Non-relational (NoSQL) databases enables your application to scale more cost effectively, even for extraordinarily high demand. Amazon DynamoDB is a fully managed NoSQL database service that lets you focus on your app so you don’t have to worry about hardware acquisition or database management and lets you scale down your costs for off-peak periods. In this webinar, we’ll describe common database tasks, then compare and contrast SQL with equivalent DynamoDB operations.
Learning Objectives:
• Why consider the switch from SQL to NoSQL?
• Benefits of Amazon’s NoSQL database service
• Common SQL database operations and their DynamoDB equivalents
In this session, we explore Amazon DynamoDB capabilities and benefits in detail and discusses how to get the most out of your DynamoDB database. We go over schema design best practices with DynamoDB across multiple use cases, including gaming, AdTech, IoT, and others. We also explore designing efficient indexes, scanning, and querying, and go into detail on a number of recently released features, including JSON document support, Streams, and more.
If you’re familiar with relational databases, designing your app to use a fully-managed NoSQL database service like Amazon DynamoDB may be new to you. In this webinar, we’ll walk you through common NoSQL design patterns for a variety of applications to help you learn how to design a schema, store, and retrieve data with DynamoDB. We will discuss best practices with DynamoDB to develop IoT, AdTech, and gaming apps.
The document provides an overview of Amazon DynamoDB, including its key capabilities like auto scaling, on-demand throughput capacity, and integration with other AWS services; it also discusses DynamoDB fundamentals like data modeling techniques, partitioning strategies to scale workload, and using secondary indexes to enable richer queries. Use cases that benefit from DynamoDB include applications that require massive scale, predictable low latency, or flexible schemas to support unstructured or semi-structured data like IoT, gaming metadata, social feeds, and e-commerce cart data.
Amazon DynamoDB is a fully managed, highly scalable distributed database service. In this technical talk, we will deep dive on how to: Use DynamoDB to build high-scale applications like social gaming, chat, and voting. - Model these applications using DynamoDB, including how to use building blocks such as conditional writes, consistent reads, and batch operations to build the higher-level functionality such as multi-item atomic writes and join queries. - Incorporate best practices such as index projections, item sharding, and parallel scan for maximum scalability
This document provides an overview and agenda for a presentation on Amazon DynamoDB. It discusses key concepts like tables, data types, partitioning, indexing and scaling in DynamoDB. It also provides best practices and examples for modeling different data scenarios like event logging, product catalogs, messaging apps and multiplayer games.
This document summarizes a presentation on building applications with DynamoDB. The presentation covers:
- Getting started with DynamoDB by making two decisions - choosing a primary key and provisioning throughput - and making one API call to create a table.
- Data modeling concepts in DynamoDB including tables, items, attributes, primary keys, and queries. Common patterns like modeling relationships and handling large items are also discussed.
- Programming the DynamoDB API and available operations like PutItem, GetItem, Query and Scan. Conditional updates, batch operations, and pagination of results are also covered.
- Real-world data modeling examples including storing scores and leaderboards for an online game and creating
Amazon DynamoDB and Amazon RDS Deep Dive provides an overview of Amazon DynamoDB and Amazon RDS. It discusses how DynamoDB can provide real-time weather updates, make video gamers happy, and scale to millions of users by delivering billions of page flips through its consistent and predictable performance on solid-state drives with seamless scalability. It also discusses how RDS can remove operational burdens like backups, recovery, patching and upgrades through its managed service allowing developers to focus on their applications.
Learning Objectives:
- Learn the capabilities of Amazon DynamoDB in detail
- Learn best practices for schema design with DynamoDB
- Learn use cases for Non-relational (NoSQL) Databases
Amazon DynamoDB is a fully managed NoSQL database service for applications that need consistent, single-digit millisecond latency at any scale. This talk explores DynamoDB capabilities and benefits in detail and discusses how to get the most out of your DynamoDB database. We go over schema design best practices with DynamoDB across multiple use cases, including gaming, AdTech, IoT, and others. We also explore designing efficient indexes, scanning, and querying, and go into detail on a number of recently released features, including JSON document support, Streams, and more.
AWS re:Invent 2016: Deep Dive on Amazon DynamoDB (DAT304)Amazon Web Services
Explore Amazon DynamoDB capabilities and benefits in detail and learn how to get the most out of your DynamoDB database. We go over best practices for schema design with DynamoDB across multiple use cases, including gaming, AdTech, IoT, and others. We explore designing efficient indexes, scanning, and querying, and go into detail on a number of recently released features, including JSON document support, DynamoDB Streams, and more. We also provide lessons learned from operating DynamoDB at scale, including provisioning DynamoDB for IoT.
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. You can use Amazon DynamoDB to create a database table that can store and retrieve any amount of data, and serve any level of request traffic. Amazon DynamoDB automatically spreads the data and traffic for the table over a sufficient number of servers to handle the request capacity specified by the customer and the amount of data stored, while maintaining consistent and fast performance.
This document provides an overview and summary of a presentation on Amazon DynamoDB. The presentation will cover DynamoDB tables, APIs, data types, indexes, scaling, data modeling, scenarios and best practices. It will also discuss using DynamoDB Streams to enable cross-region replication and integration with other AWS services like S3, CloudSearch, ElastiCache and Redshift. The goal is to teach design patterns and best practices for building highly scalable applications with DynamoDB.
This session will begin with an introduction to non-relational (NoSQL) databases and compare them with relational (SQL) databases. Learn the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service, and see the DynamoDB console first-hand. See a walk-through demo of building a serverless web application using this high-performance key-value and JSON document store.
This document provides an overview and summary of key aspects of DynamoDB, including:
1. DynamoDB is a fully managed NoSQL database that scales to any workload and provides fast and consistent performance.
2. DynamoDB uses a table structure with partition and sort keys to organize and access data, and scales both read and write throughput independently across partitions.
3. Common challenges include hot keys/partitions that can cause throttling, and designing schemas and partitions to spread access uniformly across the keyspace.
4. NoSQL data modeling focuses on aggregations rather than relations, using patterns like hierarchical data structures and parent-child relationships to model one-to-many and many-to-
Jim Scharf will give a presentation on Getting Started with Amazon DynamoDB. The presentation will provide a brief history of data processing, compare relational and non-relational databases, explain DynamoDB tables and indexes, scaling, integration capabilities, pricing, and include customer use cases. The agenda also includes time for Q&A.
Following the Amazon DynamoDB Deep Dive session, this workshop is a design session (no computer needed) in which we will work through several real world DynamoDB use cases. For each one, we will go over the requirements, propose and analyze possible solutions and their pros and cons, with an eye for performance efficiency, scalability, and cost optimization.
Amazon DynamoDB is a fully managed NoSQL database service for applications that need consistent, single-digit millisecond latency at any scale. This talk explores DynamoDB capabilities and benefits in detail and discusses how to get the most out of your DynamoDB database. We go over schema design best practices with DynamoDB across multiple use cases, including gaming, AdTech, IoT, and others. We also explore designing efficient indexes, scanning, and querying, and go into detail on a number of recently released features, including JSON document support, Streams, and more.
by Edin Zulich, NoSQL Solutions Architect, AWS
Following the DynamoDB Deep Dive session, this workshop is a design session (no computer needed) in which we will work through several real world DynamoDB use cases. For each one, we will go over the requirements, propose and analyze possible solutions and their pros and cons, with an eye for performance efficiency, scalability, and cost optimization. Level: 300
AWS re:Invent 2016: Amazon Aurora Best Practices: Getting the Best Out of You...Amazon Web Services
Amazon Aurora is a fully managed relational database engine that provides higher performance, availability and durability than previously possible using conventional monolithic database architectures. After launching a year ago, we continued adding many new features and capabilities to Aurora. In this session AWS Aurora experts will discuss the best practices that will help you put these capabilities to the best use. You will also hear from Amazon Aurora customer Intercom on the best practices they adopted for moving live databases with over two billion rows to a new datastore in Amazon Aurora with almost no downtime or lost records.
Intercom was founded to provide a fundamentally new way for Internet businesses to communicate with customers at scale. For growing startups like Intercom, it’s natural for the load on datastores to grow on a weekly basis. The usual solution to this problem is to get a bigger box from AWS. But very soon you reach a point where bigger boat is not an option anymore. You will learn about the benefits of moving to such a datastore, the problems it introduced, and all about the new ability for scaling that was not there before.
Best Practices for NoSQL Workloads on Amazon EC2 and Amazon EBS - February 20...Amazon Web Services
Learn how to optimize your NoSQL database on AWS for cost, efficiency, and scale. NoSQL databases are great for modern datasets that require simplicity in design, handle structured and unstructured data, scale horizontally, and offer finer control over availability. With AWS, you have options for running NoSQL on Amazon EC2 with Amazon EBS or on Amazon DynamoDB. This webinar will dive deep into best practices and architectural considerations for designing and managing NoSQL databases like Cassandra, MongoDB, CouchDB, and Aerospike on EC2 and EBS. We will share best practices around instance and volume selection, provide performance tuning hints, and describe cost optimization techniques.
Learning Objectives:
• Learn about common NoSQL database options and use cases for Cassandra, MongoDB, CouchDB, and Aerospike
• Review best practices around architecting on AWS for different NoSQL databases
• Understand the cost vs. performance of different Amazon EC2 instances and Amazon EBS volumes
Consolidate MySQL Shards Into Amazon Aurora Using AWS Database Migration Serv...Amazon Web Services
If you’re running a MySQL database at scale, there’s a good chance you’re sharding your database deployment. Sharding is a useful way to increase the scale of your deployment, but it has drawbacks like higher costs, high administration overheard and lower elasticity. It’s harder to grow or shrink a sharded database deployment to match your traffic patterns. In this session, we will discuss and demonstrate how to use AWS Database Migration Service to consolidate multiple MySQL shards into an Amazon Aurora cluster to reduce cost, improve elasticity and make it easier to manage your database.
Learning Objectives:
Learn how to scale your MySQL database at reduced cost and higher elasticity, by consolidating multiple shards into one Amazon Aurora cluster.
The document discusses Amazon Web Services (AWS) security capabilities. It notes that AWS prioritizes security and offers comprehensive security controls including people, procedures, network security, physical security, and platform security. It emphasizes that security is a shared responsibility between AWS and customers, with AWS providing security of the cloud infrastructure and platforms, while customers are responsible for security in the cloud. The document highlights how AWS provides more visibility into networks and environments, more auditability of actions through logging and monitoring, and more control over identity and access management than traditional data centers.
Jon Brendsel is the VP of Products at Iconic Brands. According to a February 2012 report, PBS and PBS Kids video apps for iPad had over 30 million unique visitors and 57 million visits per month across all platforms. The mobile apps accounted for 115,000 unique visitors per day, 310,000 daily app opens, 27% of hours watched and 40% of video streams. The mobile video architecture utilized 5 AWS accounts, over 300 EC2 machines, ELBs, RDS databases, EBS volumes, S3 buckets, and CloudFront distributions.
Enabling the New IT Org
Today’s technology leaders recognize that the cloud is disrupting the way in which they collaborate and deliver technology solutions throughout their enterprise. In this session, experienced and emerging leadership teams will learn how companies are leveraging the cloud to reimagine the traditional people, process, and technology alignment model. Attendees will be presented with key considerations to better enable the alignment of executives, developers, system administrators, and end users with the objective of increasing business value, agility, and innovation.
While there are many Cloud design patterns for infrastructure, there are also many Cloud design patterns for developers. Come and learn how you can take your software design patterns and apply them to the next generation of cloud applications, or simply modernise your existing software architectures.
Speaker: Arden Packeer, Solutions Architect, Amazon Web Services
AWS Sydney Summit 2013 - Technical Lessons on How to do DR in the CloudAmazon Web Services
1. The document discusses backup and disaster recovery (DR) lessons learned from implementing backup and DR solutions using AWS for Ausenco Limited. It provides definitions of archiving, backup, and DR.
2. It then describes Ausenco's IT environment and challenges with unreliable backups, lack of DR, and limited local storage. Their initial approach involved consulting various vendors before shifting to leverage AWS cloud services.
3. The results section outlines key lessons around backup including ensuring it is accessible, able to scale, safe, works with DR policies, and that ownership is clearly defined. For DR, lessons include having a plan, testing regularly, and that different solutions can meet varying needs.
The document discusses a mobile game called GOWAR that allows players to conquer real world places on a map. It provides statistics on the game's popularity with over 1 million attacks per month and 15,000 players worldwide. The game architecture is hosted on Amazon Web Services for its scalability and lack of upfront costs.
Dole Food's Global Collaboration Platform and Web Presence on AWS (ENT209) | ...Amazon Web Services
Dole Food needed a global SharePoint infrastructure that met tough goals for availability, performance, scalability, and price. Dole also needed a highly scalable and resilient hosting infrastructure for its public web presence. By deploying both on AWS, Dole Food met its goals while avoiding capital expenditures and operational costs. We trace the project’s timeline, discussing how those goals were met and sharing lessons learned. We also talk about how we extended Dole Food’s corporate Active Directory into the AWS cloud.
Amazon Virtual Private Cloud (Amazon VPC) lets you provision a logically isolated section of the AWS cloud where you can launch AWS resources in a virtual network that you define. In this talk, we discuss advanced tasks in Amazon VPC, including the implementation of VPC peering, the creation of multiple network zones, the establishment of private connections, and the use of multiple routing tables. We also provide information for current Amazon EC2-Classic network customers and help you prepare to adopt Amazon VPC.
This document discusses using AWS services to build a serverless backend for mobile apps. It describes how Amazon Cognito can be used for user authentication, data synchronization across devices, and security. Amazon Mobile Analytics is presented as a way to analyze user behavior in mobile apps. Amazon SNS is highlighted for its ability to send push notifications across platforms. Integrating these services is described as straightforward using the AWS Mobile SDK. The document emphasizes that developers can build full-featured mobile backends without having to manage their own infrastructure.
Amazon Machine Learning: Empowering Developers to Build Smart ApplicationsAmazon Web Services
The document discusses Amazon Machine Learning, a fully managed machine learning service. It provides an overview of building smart applications with machine learning, examples of common machine learning tasks, and how Amazon ML makes it easier to build, evaluate, deploy and use machine learning models. The document also demonstrates how to use Amazon ML through code examples and discusses architecture patterns for integrating machine learning models and predictions.
AWS Partner Presentation - Suse Linux Proven Cloud SuccessAmazon Web Services
This document discusses how software appliances can simplify software deployment across physical, virtual, and cloud environments. It summarizes SUSE's appliance solutions, including SUSE Studio for building appliances and the SUSE Gallery for sharing appliances. SUSE Studio integrates with Amazon Web Services to allow launching appliances directly on AWS. The document concludes by arguing that Linux is well-suited for appliances and cloud computing due to technical and business advantages like flexibility, reliability, and avoidance of vendor lock-in.
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
Justin.tv was an early live video streaming platform that grew rapidly after launching in 2007, reaching 300 broadcasters and 6 million monthly page views within a few months. As traffic increased, the engineering team encountered challenges scaling their initial architectures to support thousands of concurrent streams. They eventually found success using Amazon Web Services, which allowed them to scale elastically and reliably support over 1,000 broadcasters streaming to 100,000 concurrent viewers at lower cost compared to traditional hosting options.
AWS Webcast - Data Modeling for low cost and high performance with DynamoDBAmazon Web Services
The document discusses data modeling techniques for building applications on Amazon DynamoDB. It begins with an overview of DynamoDB and its features like fully managed NoSQL database, predictable performance, scalability and rapid deployment. It then covers modeling primitives in DynamoDB including tables, items, attributes, primary keys and different data types. Different access patterns like queries, scans, reads and writes are also explained. The document further discusses modeling examples to represent 1:1, 1:N and N:M relationships between entities. It also provides a detailed example of modeling file storage and sharing application to represent different access patterns like searching by file name, type or date range. Local secondary indexes are demonstrated to efficiently query data based on
Amazon RDS makes it easy to set up, operate, and scale relational deployments in the cloud. We are to introduce PostgreSQL to the family of supported database engines. Now, you can deploy scalable PostgreSQL deployments in minutes, freeing you up to focus on application development instead of time-consuming database administration tasks including backups, software patching, monitoring, scaling and replication. In this webinar, we will provide an overview of Amazon RDS for PostgreSQL, discuss popular use cases, and share best practices that will help you fully leverage PostgreSQL in the cloud.
This webinar is aimed at older portfolio companies who may have started when AWS wasn't as strong as it is today. Redshift is a great way to to use the cloud and bring data to the cloud where other cloud services (EMR) can consume it.
Redshift is a petabyte-scale data warehouse that is a lot faster, a lot less expensive and a whole lot simpler to use. How can you get your data into Amazon Redshift? In this webinar, hear from representatives of Attunity (Amazon Redshift Partner), and AWS as they present many of the options available for data integration. Whether your data is in an on premise platform or a cloud based database like DynamoDB, we will show you how you can easily load your data in to Re
dshift.
Reasons to attend: - Learn about best practices to efficiently integrate data into Redshift. - Attend Q&A session with Redshift experts
Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models. Its flexible data model, reliable performance, and automatic scaling of throughput capacity, makes it a great fit for mobile, web, gaming, ad tech, IoT, and many other applications. We’ll take a look at how DynamoDB works and how it can be accelerated by DAX, the DynamoDB Accelerator.
Speaker: Lex Crosett - Solutions Architect, AWS
The document discusses DynamoDB, a fully managed nonrelational database service from AWS for internet-scale applications. It provides fast and consistent performance without the need for administration. DynamoDB allows for scaling of storage and throughput, automated backups and data replication across regions, and integration with other AWS services. Real-world examples show how customers like Samsung and Capital One use DynamoDB to power their applications.
The document outlines the key topics and objectives covered in Module 1 of an Access 2016 training course, including understanding relational databases, exploring an Access database, creating tables and relating tables, and entering and editing data. Specific tasks covered are creating a database, defining fields and setting data types, identifying primary keys, creating relationships between tables, and using keyboard shortcuts to navigate and edit data.
Amazon DynamoDB Deep Dive Advanced Design Patterns for DynamoDB (DAT401) - AW...Amazon Web Services
This session is for those who already have some familiarity with DynamoDB. The patterns and data models discussed in this session summarize a collection of implementations and best practices leveraged by Amazon.com to deliver highly scalable solutions for a wide variety of business problems. The session also covers strategies for global secondary index sharding and index overloading, scalable graph processing with materialized queries, relational modeling with composite keys, and executing transactional workflows on DynamoDB.
Advanced Design Patterns for Amazon DynamoDB - Workshop (DAT404-R1) - AWS re:...Amazon Web Services
Join us for a practical hands-on workshop on using Amazon DynamoDB. This session is designed for developers, engineers, and database administrators who are involved in designing and maintaining DynamoDB applications. We begin with a walkthrough of proven NoSQL design patterns for at-scale applications. Next, we use step-by-step instructions to apply lessons learned to design DynamoDB tables and indexes that are optimized for performance and cost. Expect to leave this session with the knowledge to build and monitor DynamoDB applications that can grow to any size and scale. Attendees should have a basic understanding of DynamoDB. Bring your laptop to participate in this workshop.
Apache Hive 3 introduces new capabilities for data analytics including materialized views, default columns, constraints, and improved JDBC and Kafka connectors to enable real-time streaming and integration with external systems like Druid; Hive 3 also improves performance and query optimization through a new query result cache, workload management, and cloud storage optimizations. Data Analytics Studio provides self-service analytics on top of Hive 3 through a visual interface to optimize queries, monitor performance, and manage data lifecycles.
The document discusses new features and enhancements in Apache Hive 3, including:
1) Materialized views which allow optimizing workloads and queries without changing SQL.
2) Improved ACID support which makes ACID transactions as fast as regular tables.
3) Enhancements to constraints, defaults, and surrogate keys which help the optimizer produce better plans and improve data integrity.
SRV307 Applying AWS Purpose-Built Database Strategy: Match Your Workload to ...Amazon Web Services
In this session, Tony Petrossian, director of engineering, AWS Database Services, dives deep into what databases to use for which components of your application. Learn how to evaluate a new workload for the best managed database option based on specific application needs related to data shape, data size at limit, computational requirements, programmability, throughput and latency needs, etc. This session explains the ideal use cases for relational and non-relational database services, including Amazon Aurora, Amazon DynamoDB, Amazon ElastiCache for Redis, Amazon Neptune, and Amazon Redshift.
This document provides an overview of key concepts for working with formulas and functions in Excel, including: creating complex formulas using multiple arithmetic operators; inserting predefined functions to simplify calculations; typing functions manually; copying and moving cell entries; understanding relative and absolute cell references when copying formulas; and rounding values using functions. The objectives are to learn techniques for building advanced formulas, using functions, and properly structuring cell references in copied formulas.
by Karthik Saligrama, SDE AWS AppSync
You’ve got an awesome startup idea – Wild Rydes! The next generation in transportation will be driven by a willing unicorn population and your new startup will produce the worlds first unicorn hailing services. It’s just seven days to launch, and your designers have delivered the final designs for your website, but your idea depends on the mobile economy! Can you build out your web and mobile infrastructure in time for your launch?
Across three days, AWS experts will guide you through all the pieces that are needed to produce an awesome mobile experience for both your unicorns and your riders.
by Richard Threlkeld, Sr. Product Manager, AWS
Most applications are data-driven and our app is no exception to that. However, mobile development has some unique problems to be solved. In this session, we’ll introduce you to GraphQL – the latest in mobile-centric data access protocols – and show you how GraphQL can help with these problems.
Ahrefs SEO Toolset Quick Guide ( Updated in August 2013) Clare Hoang
The document is a quick user guide for Ahrefs.com. It introduces Ahrefs as the world's largest index of live backlinks and a website analysis tool for SEOs. It provides instructions on creating a free account, upgrading subscription plans, and using Ahrefs' main products like the Site Explorer, SEO Reports, and Backlink Checker. The guide aims to help new users get started with exploring Ahrefs' backlink and competitor analysis tools.
Learn the fundamentals of Amazon DynamoDB and see the DynamoDB console first-hand as we walk through a demo of building a serverless web application using this high-performance key-value and JSON document store.
Best Practices for Running PostgreSQL on AWS - DAT314 - re:Invent 2017Amazon Web Services
PostgreSQL is an open source database growing in popularity because of its rich features, vibrant community, and compatibility with commercial databases. Learn about ways to run PostgreSQL on AWS including self-managed, and the managed database services from AWS: Amazon Relational Database Service (Amazon RDS) and the Amazon Aurora PostgreSQL-compatible Edition. This talk covers key Amazon RDS for PostgreSQL functionality, availability, and management. We also review general guidelines for common user operations and activities such as migration, tuning, and monitoring for their RDS for PostgreSQL instances.
DEV305_Manage Your Applications with AWS Elastic Beanstalk.pdfAmazon Web Services
DEV305 Devops Breakout Session AWS Elastic Beanstalk provides an easy way for you to quickly deploy, manage, and scale applications in the AWS Cloud. Through interactive demos and code samples, this session will teach you how to deploy your code using Elastic Beanstalk, provision and use other AWS services (Amazon SNS, Amazon SQS, and Amazon DynamoDB, AWS CodeCommit) use your application’s health metrics to tune performance, scale your application to handle millions of requests, perform zero-downtime deployments with traffic routing, and keep the underlying application platform up-to-date with managed updates. AWS re:Invent 2017, Amazon, Devops, DEV305, DynamoDB, AWS CodeCommit, AWS Elastic Beanstalk, reinvent2017,reinvent2017
Serverless Applications at Global Scale with Multi-Regional Deployments - AWS...Amazon Web Services
Learning Objectives:
- Input and decision points when architecting a serverless multi-regional application
- Active-active Multi-Regional API with API Gateway and Lambda
- Replication with DynamoDB
Similar to AWS Webcast - Optimize your database for the cloud with DynamoDB – A Deep Dive into Global Secondary Indexes (20)
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.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
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.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.