TIBCO Jaspersoft® for AWS is a business intelligence suite that helps you deliver stunning interactive reports and dashboards inside your app that make it easy for your customers to get answers. Purpose-built for AWS, our reporting and analytics server quickly and easily connects to Amazon Relational Database Service (RDS), Amazon Redshift, and Amazon EMR. It includes ad-hoc reporting, dashboards, data analysis, data visualization, and data blending. In less than 10 minutes, you can be analyzing and reporting on your data. You get a full Cloud BI server starting at less than $1/hour, with no user or data limits and no additional fees.
This webinar deck shows how embeddable analytics with TIBCO Jaspersoft for AWS gives you the power to create the experience your end users demand and how to scale and manage that experience across your customer base with AWS.
Announcing Amazon Lightsail - January 2017 AWS Online Tech TalksAmazon Web Services
Sometimes you just need to spin up a virtual server, install your LAMP stack or web app, and go. No complex configurations - just a few clicks and a simple, low price. Amazon Lightsail is the easiest way to launch and manage a virtual private server with AWS. Get everything you need to jump start your application - compute, storage, and networking - starting at $5/month.
Learning Objectives:
• Learn about the capabilities and features of Amazon Lightsail
• Learn about the benefits of Amazon Lightsail
• Learn about the different use cases
• Learn how to get started using Amazon Lightsail
• Spin up your first VPS using pre-configured images
• Manage your Lightsail server, SSH keys, SSL certs, domains from the dashboard
• Create and manage snapshots
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. This session introduces you to Amazon Aurora, explains common use cases for the service, and helps you get started with building your first Amazon Aurora–powered application.
Amazon Web Services (AWS) can make hosting scalable, highly-available websites and web applications easier and less expensive for the Enterprise Education customers. Join us for an informative webinar on tools AWS provides to elastically scale your architecture to avoid underutilized resources while reducing complexity with templates, partners, and tools to do much of the heavy lifting of creating and running a website for you.
Announcing Amazon Lightsail - January 2017 AWS Online Tech TalksAmazon Web Services
Sometimes you just need to spin up a virtual server, install your LAMP stack or web app, and go. No complex configurations - just a few clicks and a simple, low price. Amazon Lightsail is the easiest way to launch and manage a virtual private server with AWS. Get everything you need to jump start your application - compute, storage, and networking - starting at $5/month.
Learning Objectives:
• Learn about the capabilities and features of Amazon Lightsail
• Learn about the benefits of Amazon Lightsail
• Learn about the different use cases
• Learn how to get started using Amazon Lightsail
• Spin up your first VPS using pre-configured images
• Manage your Lightsail server, SSH keys, SSL certs, domains from the dashboard
• Create and manage snapshots
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. This session introduces you to Amazon Aurora, explains common use cases for the service, and helps you get started with building your first Amazon Aurora–powered application.
Amazon Web Services (AWS) can make hosting scalable, highly-available websites and web applications easier and less expensive for the Enterprise Education customers. Join us for an informative webinar on tools AWS provides to elastically scale your architecture to avoid underutilized resources while reducing complexity with templates, partners, and tools to do much of the heavy lifting of creating and running a website for you.
AWS re:Invent 2016: Taking DevOps to the AWS Edge (CTD302)Amazon Web Services
In this session, we dive deep into how you can integrate Amazon CloudFront and related services into your application, be agile in developing and adapting the application, and follow best practices when configuring the services to improve security and performance, all while reducing costs. Attend this session and learn how to avoid needless forwarding of headers and cookies, test your application when making changes to the origin, version your configuration changes, monitor usage and automate security, create templates for new distributions, configure SSL/TLS certificates, and more.
Hands On Lab: Introduction to Microsoft SQL Server in AWS - May 2017 AWS Onli...Amazon Web Services
Learning Objectives:
- Create an Amazon Relational Database Service (RDS) SQL Server instance
- Connect to the RDS instance using Microsoft SQL Server Management Studio
- Import data into the database
You can use AWS services like Amazon EC2 and Amazon RDS to quickly build, deploy, scale and manage your SQL Server databases, which helps you build more agile applications. This session will cover best practices for running SQL Server on AWS. We will discuss how to choose between Amazon EC2 and Amazon RDS. The lab portion of this webinar will lead you through the steps to launch and configure your first Microsoft SQL Server instance on Amazon Relational Database Service (RDS) and connect it to Microsoft SQL Server Management Studio.
Join the hands-on-lab webinar and receive access to valuable online training. After the webinar, you can take your learning even further with free access to advanced and expert-level labs.
WKS401 Deploy a Deep Learning Framework on Amazon ECS and EC2 Spot InstancesAmazon Web Services
Deep learning is an implementation of machine learning that uses neural networks to solve difficult and complex problems, such as computer vision, natural language processing, and recommendations. Due to the availability of deep learning libraries and frameworks, developers have the ability to enhance the capabilities of their applications and projects. In this workshop, you learn how to build and deploy a powerful deep learning framework called MXNet on containers. The portability and resource management benefit of containers means developers can focus less on infrastructure and more on building. The labs start by demonstrating the automation capabilities of AWS CloudFormation to stand up core infrastructure; as an added bonus, you use Spot Fleet to leverage the cost benefits of using Spot Instances, especially for developer environments. Then, you walk through creating an MXNet container in Docker and deploying it with Amazon ECS. Finally, you walk through an image classification demo of MXNet to validate that everything is working as expected.
Pre-reqs: Laptop and AWS account
Amazon Aurora for the Enterprise - August 2016 Monthly Webinar SeriesAmazon Web Services
Relational databases are a cornerstone of the enterprise IT landscape, powering business-critical applications of many kinds. Though they have been around for a while, current commercial relational databases have lagged behind in innovation. Amazon Aurora, a managed database service built for the cloud, is intended to change that. It fulfils the high-performance, high-availability needs of business-critical applications with an emphasis on cost-effectiveness. In this session, we will look into how Aurora fits the needs of applications built and bought by enterprises to power their business.
Learning Objectives:
• Explore the overall architecture, capabilities, and cost-effectiveness of Aurora and see how it compares to commercial database offerings
• Learn best practices for enterprises adopting Aurora for existing and new workloads, as well as strategies, tools, and techniques for migrating existing databases to Aurora
Amazon Aurora New Features - September 2016 Webinar SeriesAmazon Web Services
Amazon Aurora is a fully managed MySQL-compatible database with high-end commercial database features and performance at one-tenth the cost. Since launching Aurora a year ago we have added many new capabilities and features. Some of these features include encryption, database snapshot sharing, enhanced monitoring, cross-region replication, S3 binary snapshot ingestion and customized failover priority. In this session we'll demonstrate how these features work and discuss how you can make the best use of them.
Learning Objectives:
• Learn about the newly added features of Aurora
• Learn how to use those features
• Learn when and why to use those features
Who Should Attend:
• IT Managers, DBAs, Enterprise and Solution Architects, Devops Engineers and Developers
Configuration Management with AWS OpsWorks for Chef AutomateAmazon Web Services
AWS OpsWorks for Chef Automate provides a fully managed Chef server and suite of automation tools that give you workflow automation for continuous deployment, automated testing for compliance and security, and a user interface that gives you visibility into your nodes and their status. The Chef server gives you full stack automation by handling operational tasks such as software and operating system configurations, package installations, database setups, and more. The Chef server centrally stores your configuration tasks and provides them to each node in your compute environment at any scale, from a few nodes to thousands of nodes. OpsWorks for Chef Automate is completely compatible with tooling and cookbooks from the Chef community and automatically registers new nodes with your Chef server.
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We will cover how each service might help support your application, how much each service costs, and how to get started.
AWS re:Invent 2016: Turbocharge Your Microsoft .NET Developments with AWS (DE...Amazon Web Services
In this session, you will discover how to integrate the AWS developer tools into your development process. We will demonstrate how to leverage AWS services, the .NET SDK, and the Visual Studio Toolkit to simplify and streamline your development processes. This session is targeted at development teams using Microsoft Visual Studio and the Microsoft ecosystem of products. Most of the presentation will be in Visual Studio.
In this session, we will discuss the difficulties of running Docker in production and how Amazon EC2 Container Service (ECS) can be used to reduce the operational burdens. We will give an overview of the core architectural principles underlying Amazon ECS, and we will walk through a number of patterns used by our customers to run their microservices platforms and batch applications.
AWS 201 - A Walk through the AWS Cloud: App Hosting on AWS - Games, Apps and ...Amazon Web Services
Playfish, Gumi, and Halfbrick are three of many gaming companies on AWS. Pinterest, Netflix and Flipboard host web and mobile applications using the AWS Cloud. What are the best practices to build an application to take advantage of the benefits of AWS? Learn about these approaches and how customers have built highly scalable, durable and reliable infrastructures to host their internet-facing businesses on AWS. Attend this complimentary webinar to learn more.
Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances for fault tolerance and load distribution. In this session, we go into detail about Elastic Load Balancing's configuration and day-to-day management, as well as its use in conjunction with Auto Scaling. We explain how to make decisions about the service and share best practices and useful tips for success.
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. This session introduces you to Amazon Aurora, explains common use cases for the service, and helps you get started with building your first Amazon Aurora–powered application.
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
DAT301 Accelerating Amazon Relational Database Service Performance with Amazo...Amazon Web Services
Learn how you can use Amazon ElastiCache to easily deploy a Memcached-compatible, in-memory caching system to speed up your application performance. We show you how to use ElastiCache to improve your application latency and reduce the load on your database servers. We'll also show you how to build a caching layer that is easy to manage and scale as your application grows.
SRV402 Deep Dive on Amazon EC2 Instances, Featuring Performance Optimization ...Amazon Web Services
Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and Accelerated Computing (GPU and FPGA) instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
This session provides the attendee with an overview of our Amazon EC2 Container Service (Amazon ECS) and the benefits of running a managed cluster on AWS. We also discuss the benefits from a customer perspective.
What if you could build a web application that could support true web-scale traffic without having to ever provision or manage a single server? In this session, you will learn how to build a serverless website that scales automatically using services like AWS Lambda, Amazon API Gateway, and Amazon S3. We will review several frameworks that can help you build serverless applications, such as the AWS Serverless Application Model (AWS SAM), Chalice, and ClaudiaJS.
Running a Highly Scalable Immersive Media Solution on AWS Using EC2 Spot Inst...Amazon Web Services
Learning Objectives:
-Understand key EC2 Spot Instances concepts and common usage patterns for maximum scale and cost optimization in the cloud
- Leverage lower compute costs to better compete on price and, as a result, winning more business
- Leverage the full scale of the AWS cloud for faster results
In this session, we will look at building cost-effective on-demand and live streaming solutions on AWS to support 360 and immersive media experiences using Amazon EC2 Spot Instances, AWS Elastic Load Balancing, Amazon S3, Amazon Simple Queuing Service (SQS), Amazon CloudFront, and the Amazon EC2 Container Service (ECS).
The Ultimate 30-Minute Guide to SaaS AnalyticsJanessa Lantz
There are tons of metrics you could be tracking for your SaaS company. How do you decide where to start? Join RJMetrics data nerds, Shaun McAvinney and Tristan Handy, for a 30-minute crash course in turning data into growth opportunities.
You'll Learn:
- The metrics every SaaS company should be tracking
- 3 approaches to solving the challenge of data consolidation
- How SaaS companies are using RJMetrics to measure and manage their businesses
AWS re:Invent 2016: Taking DevOps to the AWS Edge (CTD302)Amazon Web Services
In this session, we dive deep into how you can integrate Amazon CloudFront and related services into your application, be agile in developing and adapting the application, and follow best practices when configuring the services to improve security and performance, all while reducing costs. Attend this session and learn how to avoid needless forwarding of headers and cookies, test your application when making changes to the origin, version your configuration changes, monitor usage and automate security, create templates for new distributions, configure SSL/TLS certificates, and more.
Hands On Lab: Introduction to Microsoft SQL Server in AWS - May 2017 AWS Onli...Amazon Web Services
Learning Objectives:
- Create an Amazon Relational Database Service (RDS) SQL Server instance
- Connect to the RDS instance using Microsoft SQL Server Management Studio
- Import data into the database
You can use AWS services like Amazon EC2 and Amazon RDS to quickly build, deploy, scale and manage your SQL Server databases, which helps you build more agile applications. This session will cover best practices for running SQL Server on AWS. We will discuss how to choose between Amazon EC2 and Amazon RDS. The lab portion of this webinar will lead you through the steps to launch and configure your first Microsoft SQL Server instance on Amazon Relational Database Service (RDS) and connect it to Microsoft SQL Server Management Studio.
Join the hands-on-lab webinar and receive access to valuable online training. After the webinar, you can take your learning even further with free access to advanced and expert-level labs.
WKS401 Deploy a Deep Learning Framework on Amazon ECS and EC2 Spot InstancesAmazon Web Services
Deep learning is an implementation of machine learning that uses neural networks to solve difficult and complex problems, such as computer vision, natural language processing, and recommendations. Due to the availability of deep learning libraries and frameworks, developers have the ability to enhance the capabilities of their applications and projects. In this workshop, you learn how to build and deploy a powerful deep learning framework called MXNet on containers. The portability and resource management benefit of containers means developers can focus less on infrastructure and more on building. The labs start by demonstrating the automation capabilities of AWS CloudFormation to stand up core infrastructure; as an added bonus, you use Spot Fleet to leverage the cost benefits of using Spot Instances, especially for developer environments. Then, you walk through creating an MXNet container in Docker and deploying it with Amazon ECS. Finally, you walk through an image classification demo of MXNet to validate that everything is working as expected.
Pre-reqs: Laptop and AWS account
Amazon Aurora for the Enterprise - August 2016 Monthly Webinar SeriesAmazon Web Services
Relational databases are a cornerstone of the enterprise IT landscape, powering business-critical applications of many kinds. Though they have been around for a while, current commercial relational databases have lagged behind in innovation. Amazon Aurora, a managed database service built for the cloud, is intended to change that. It fulfils the high-performance, high-availability needs of business-critical applications with an emphasis on cost-effectiveness. In this session, we will look into how Aurora fits the needs of applications built and bought by enterprises to power their business.
Learning Objectives:
• Explore the overall architecture, capabilities, and cost-effectiveness of Aurora and see how it compares to commercial database offerings
• Learn best practices for enterprises adopting Aurora for existing and new workloads, as well as strategies, tools, and techniques for migrating existing databases to Aurora
Amazon Aurora New Features - September 2016 Webinar SeriesAmazon Web Services
Amazon Aurora is a fully managed MySQL-compatible database with high-end commercial database features and performance at one-tenth the cost. Since launching Aurora a year ago we have added many new capabilities and features. Some of these features include encryption, database snapshot sharing, enhanced monitoring, cross-region replication, S3 binary snapshot ingestion and customized failover priority. In this session we'll demonstrate how these features work and discuss how you can make the best use of them.
Learning Objectives:
• Learn about the newly added features of Aurora
• Learn how to use those features
• Learn when and why to use those features
Who Should Attend:
• IT Managers, DBAs, Enterprise and Solution Architects, Devops Engineers and Developers
Configuration Management with AWS OpsWorks for Chef AutomateAmazon Web Services
AWS OpsWorks for Chef Automate provides a fully managed Chef server and suite of automation tools that give you workflow automation for continuous deployment, automated testing for compliance and security, and a user interface that gives you visibility into your nodes and their status. The Chef server gives you full stack automation by handling operational tasks such as software and operating system configurations, package installations, database setups, and more. The Chef server centrally stores your configuration tasks and provides them to each node in your compute environment at any scale, from a few nodes to thousands of nodes. OpsWorks for Chef Automate is completely compatible with tooling and cookbooks from the Chef community and automatically registers new nodes with your Chef server.
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We will cover how each service might help support your application, how much each service costs, and how to get started.
AWS re:Invent 2016: Turbocharge Your Microsoft .NET Developments with AWS (DE...Amazon Web Services
In this session, you will discover how to integrate the AWS developer tools into your development process. We will demonstrate how to leverage AWS services, the .NET SDK, and the Visual Studio Toolkit to simplify and streamline your development processes. This session is targeted at development teams using Microsoft Visual Studio and the Microsoft ecosystem of products. Most of the presentation will be in Visual Studio.
In this session, we will discuss the difficulties of running Docker in production and how Amazon EC2 Container Service (ECS) can be used to reduce the operational burdens. We will give an overview of the core architectural principles underlying Amazon ECS, and we will walk through a number of patterns used by our customers to run their microservices platforms and batch applications.
AWS 201 - A Walk through the AWS Cloud: App Hosting on AWS - Games, Apps and ...Amazon Web Services
Playfish, Gumi, and Halfbrick are three of many gaming companies on AWS. Pinterest, Netflix and Flipboard host web and mobile applications using the AWS Cloud. What are the best practices to build an application to take advantage of the benefits of AWS? Learn about these approaches and how customers have built highly scalable, durable and reliable infrastructures to host their internet-facing businesses on AWS. Attend this complimentary webinar to learn more.
Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances for fault tolerance and load distribution. In this session, we go into detail about Elastic Load Balancing's configuration and day-to-day management, as well as its use in conjunction with Auto Scaling. We explain how to make decisions about the service and share best practices and useful tips for success.
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. This session introduces you to Amazon Aurora, explains common use cases for the service, and helps you get started with building your first Amazon Aurora–powered application.
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
DAT301 Accelerating Amazon Relational Database Service Performance with Amazo...Amazon Web Services
Learn how you can use Amazon ElastiCache to easily deploy a Memcached-compatible, in-memory caching system to speed up your application performance. We show you how to use ElastiCache to improve your application latency and reduce the load on your database servers. We'll also show you how to build a caching layer that is easy to manage and scale as your application grows.
SRV402 Deep Dive on Amazon EC2 Instances, Featuring Performance Optimization ...Amazon Web Services
Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and Accelerated Computing (GPU and FPGA) instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
This session provides the attendee with an overview of our Amazon EC2 Container Service (Amazon ECS) and the benefits of running a managed cluster on AWS. We also discuss the benefits from a customer perspective.
What if you could build a web application that could support true web-scale traffic without having to ever provision or manage a single server? In this session, you will learn how to build a serverless website that scales automatically using services like AWS Lambda, Amazon API Gateway, and Amazon S3. We will review several frameworks that can help you build serverless applications, such as the AWS Serverless Application Model (AWS SAM), Chalice, and ClaudiaJS.
Running a Highly Scalable Immersive Media Solution on AWS Using EC2 Spot Inst...Amazon Web Services
Learning Objectives:
-Understand key EC2 Spot Instances concepts and common usage patterns for maximum scale and cost optimization in the cloud
- Leverage lower compute costs to better compete on price and, as a result, winning more business
- Leverage the full scale of the AWS cloud for faster results
In this session, we will look at building cost-effective on-demand and live streaming solutions on AWS to support 360 and immersive media experiences using Amazon EC2 Spot Instances, AWS Elastic Load Balancing, Amazon S3, Amazon Simple Queuing Service (SQS), Amazon CloudFront, and the Amazon EC2 Container Service (ECS).
The Ultimate 30-Minute Guide to SaaS AnalyticsJanessa Lantz
There are tons of metrics you could be tracking for your SaaS company. How do you decide where to start? Join RJMetrics data nerds, Shaun McAvinney and Tristan Handy, for a 30-minute crash course in turning data into growth opportunities.
You'll Learn:
- The metrics every SaaS company should be tracking
- 3 approaches to solving the challenge of data consolidation
- How SaaS companies are using RJMetrics to measure and manage their businesses
How to Find the Customer Retention Secrets Hiding in Your DataJanessa Lantz
The fastest growing ecommerce companies excel at both customer acquisition and retention. In this event, we're going to dig deep into the latter, looking at how other ecommerce companies perform on common retention benchmarks and how to analyze your own data to build a churn-stopping retention strategy.
Cloud analytics is a type of cloud service model where data analysis and related services are performed on a public or private cloud. Cloud analytics can refer to any data analytics or business intelligence process that is carried out in collaboration with a cloud service provider.
Cloud analytics is also known as Software as a Service (SaaS)-based business intelligence (BI).
Are you a Technology Partner that is looking to stay ahead to the curve? Wondering how to massively expand your product reach and shorten sales cycles? SaaS is quickly becoming a prevalent model for accelerating your sales efforts, enabling customer trials and delivering a highly available, scalable and dynamic solution to your customers. This session will explore how AWS and the SaaS Partner Program can assist your business with building and growing your SaaS application on AWS and teach you some AWS best practices for building your SaaS on AWS.
AWS re:Invent 2016: The Secret to SaaS (Hint: It's Identity) (GPSSI404)Amazon Web Services
Identity is a fundamental element of any SaaS environment. It must be woven into the fabric of your SaaS architecture and design, enabling you to authorize and scope access to your multi-tenant services, infrastructure, and data effectively. In this session, we pair with AWS partner Okta to examine how tenant identity is introduced into SaaS applications without undermining flexibility or developer productivity. The goal here is to highlight strategies that encapsulate tenant awareness and leverage the scale, security, and innovation enabled by AWS and its ecosystem of identity solutions. We dig into all the moving parts of the SaaS identity equation, showcasing the best practices and common considerations that will shape your approach to SaaS identity management.
Webinar: Which Storage Architecture is Best for Splunk Analytics?Storage Switzerland
We discuss the pros and cons of the three most common storage architectures for Splunk, enabling you to decide which makes the most sense for your organization.
1. Leverage existing storage resources
2. Deploy a cloud storage and SaaS solution
3. Deploy a hybrid, Splunk-ready solution
From the Amazon Web Services Singapore Summit 2015 Track 1 Breakout, 'Grow Your SMB Infrastructure on the AWS Cloud' Presented by Mark Statham
Senior Solutions Architect, ASEAN, Amazon Web Services and Head of Solutions Architect, ASEAN, Amazon Web Services
Getting Started with the Hybrid Cloud: Enterprise Backup and RecoveryAmazon Web Services
This sessions is for architects and storage admins seeking simple and non-disruptive ways to adopt cloud platforms in their organizations. You will learn how to deliver lower costs and greater scale with nearly seamless integration into your existing B&R processes. Services mentioned: S3, Glacier, Snowball, 3rd party partners, storage gateway, and ingestion services.
Protecting a small number of VPCs with a next-generation firewall is relatively easy, but what happens when you have hundreds of VPCs and regularly add more as business groups or new apps come on-line? How can you maintain a prevention architecture without slowing the business? One concept is to build a services VPC that protects your existing and new VPCs. This deep dive session will discuss how to integrate next-generation firewalls in a services VPC with the Palo Alto Networks VM-Series in AWS. Topics will include architectural design considerations, routing recommendations, and dynamic fail-over. Session sponsored by Palo Alto Networks.
In this session, we walk through the Amazon VPC network presentation and describe the problems we were trying to solve when we created it. Next, we walk through how these problems are traditionally solved, and why those solutions are not scalable, inexpensive, or secure enough for AWS. Finally, we provide an overview of the solution that we've implemented and discuss some of the unique mechanisms that we use to ensure customer isolation, get packets into and out of the network, and support new features like VPC endpoints.
Creating Your Virtual Data Center: VPC Fundamentals and Connectivity OptionsAmazon Web Services
In this session, we will walk through the fundamentals of Amazon Virtual Private Cloud (VPC). First, we will cover build-out and design fundamentals for VPC, including picking your IP space, subnetting, routing, security, NAT, and much more. We will then transition into different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks AWS makes available with VPC and how you can connect this with your offices and current data center footprint.
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. This session introduces you to Amazon Aurora, explains common use cases for the service, and helps you get started with building your first Amazon Aurora–powered application.
Migrating from the data center to the cloud requires users to rethink much of what they do to secure their applications. CloudCheckr COO Aaron Klein will highlight effective strategies and tools that AWS users can employ to improve their security posture. The idea of physical security morphs as infrastructure becomes virtualized by AWS APIs. In a new world of ephemeral, auto-scaling infrastructure, users need to adapt their security architecture to face both compliance and security threats. Specific emphasis will be placed upon leveraging native AWS services and the talk will include concrete steps that users can begin employing immediately. Session sponsored by CloudCheckr.
Andy Shenkler, Sony's EVP & Chief Solutions & Technology Officer's presentation to the Storage & Archive track at the Media & Entertainment Cloud Symposium on Nov 4, 2016
Learn how Amazon Redshift, our fully managed, petabyte-scale data warehouse, can help you quickly and cost-effectively analyze all of your data using your existing business intelligence tools. Get an introduction to how Amazon Redshift uses massively parallel processing, scale-out architecture, and columnar direct-attached storage to minimize I/O time and maximize performance. Learn how you can gain deeper business insights and save money and time by migrating to Amazon Redshift. Take away strategies for migrating from on-premises data warehousing solutions, tuning schema and queries, and utilizing third party solutions.
AWS Partner Webcast - Analyze Big Data for Consumer Applications with Looker ...Amazon Web Services
Analyze Big Data for Consumer Applications with Looker BI and Amazon Redshift Customizing the customer experience based on user behavior is a constant challenge for today’s consumer apps. Business intelligence helps analyze and model large amounts of data. Looker offers a modern approach to BI leveraging AWS that’s fast, agile, and easy to manage. Join this webinar to learn how MessageMe, which provides emotionally engaging messaging apps to consumers, leverages Looker business intelligence software and the Amazon Redshift data warehouse service to analyze billions of rows of customer data in seconds.
Webinar topics include:
• How MessageMe turns billions of rows of customer data stored in Amazon Redshift into actionable insights
• How Looker connects directly to Amazon Redshift in just a few clicks, enabling MessageMe to build a modern, big data analytics in the cloud. Who should attend
• Information or Solution Architects, Data Analysts, BI Directors, DBAs, Development Leads, Developers, or Technical IT Leaders.
Presenters:
• Justin Rosenthal, CTO, MessageMe
• Keenan Rice, VP, Marketing & Alliances, Looker
• Tina Adams, Senior Product Manager, AWS
Learn how Amazon Redshift, our fully managed, petabyte-scale data warehouse, can help you quickly and cost-effectively analyze all of your data using your existing business intelligence tools. Get an introduction to how Amazon Redshift uses massively parallel processing, scale-out architecture, and columnar direct-attached storage to minimize I/O time and maximize performance. Learn how you can gain deeper business insights and save money and time by migrating to Amazon Redshift. Take away strategies for migrating from on-premises data warehousing solutions, tuning schema and queries, and utilizing third party solutions.
Traditional data warehouses become expensive and slow down as the volume of your data grows. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it easy to analyze all of your data using existing business intelligence tools for 1/10th the traditional cost. This session will provide an introduction to Amazon Redshift and cover the essentials you need to deploy your data warehouse in the cloud so that you can achieve faster analytics and save costs. We’ll also cover the recently announced Redshift Spectrum, which allows you to query unstructured data directly from Amazon S3.
Getting Started with Amazon Redshift - AWS July 2016 Webinar SeriesAmazon Web Services
Traditional data warehouses become expensive and slow down as the volume of your data grows. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it easy to analyze all of your data using existing business intelligence tools for as low as $1000/TB/year. This webinar will provide an introduction to Amazon Redshift and cover the essentials you need to deploy your data warehouse in the cloud so that you can achieve faster analytics and save costs.
Learning Objectives:
• Get an introduction to Amazon Redshift's massively parallel processing, columnar, scale-out architecture
• Learn how to configure your data warehouse cluster, optimize schema, and load data efficiently
• Get an overview of all the latest features including interleaved sorting and user-defined functions
Traditional data warehouses become expensive and slow down as the volume of your data grows. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it easy to analyze all of your data using existing business intelligence tools for 1/10th the traditional cost. This session will provide an introduction to Amazon Redshift and cover the essentials you need to deploy your data warehouse in the cloud so that you can achieve faster analytics and save costs.
Data warehousing in the era of Big Data: Deep Dive into Amazon RedshiftAmazon Web Services
Analyzing big data quickly and efficiently requires a data warehouse optimized to handle and scale for large datasets. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it simple and cost-effective to analyze all of your data for a fraction of the cost of traditional data warehouses. In this session, we take an in-depth look at data warehousing with Amazon Redshift for big data analytics. We cover best practices to take advantage of Amazon Redshift's columnar technology and parallel processing capabilities to deliver high throughput and query performance. We also discuss how to design optimal schemas, load data efficiently, and use work load management.
AWS June Webinar Series - Getting Started: Amazon RedshiftAmazon Web Services
Amazon Redshift is a fast, fully-managed petabyte-scale data warehouse service, for less than $1,000 per TB per year. In this presentation, you'll get an overview of Amazon Redshift, including how Amazon Redshift uses columnar technology, optimized hardware, and massively parallel processing to deliver fast query performance on data sets ranging in size from hundreds of gigabytes to a petabyte or more. Learn how, with just a few clicks in the AWS Management Console, you can set up with a fully functional data warehouse, ready to accept data without learning any new languages and easily plugging in with the existing business intelligence tools and applications you use today. This webinar is ideal for anyone looking to gain deeper insight into their data, without the usual challenges of time, cost and effort. In this webinar, you will learn: • Understand what Amazon Redshift is and how it works • Create a data warehouse interactively through the AWS Management Console • Load some data into your new Amazon Redshift data warehouse from S3 Who Should Attend • IT professionals, developers, line-of-business managers
Amazon Redshift는 속도가 빠른 페타바이트 규모의 완전관리형 데이터 웨어하우스로, 간편하고 비용 효율적으로 모든 데이터를 기존 비즈니스 인텔리전스 도구를 사용하여 분석할 수 있게 해줍니다. 이 강연에서는 RedShift를 활용해 데이터 웨어하우스를 구축하고 데이터를 분석할 때의 모범사례과 다양한 고려사항에 대해 알아보고, Amazon S3에 있는 엑사바이트 규모의 데이터에 대해 복잡한 쿼리를 실행할 직접 수행할 수 있는 RedShift Spectrum을 실제로 사용할 때 고려사항에 대해 함께 다룰 예정입니다.
연사: 정영준, 아마존 웹서비스 솔루션즈 아키텍트
This presentation summarizes Amazon Redshift data warehouse service, its architecture and best practices for application development using Amazon Redshift.
Let's make a brief introduction to Azure Data eXplorer, with many examples using Kusto dialect and C# client.
With a particular focus on IIoT contexts and proces control data, let's discover how to implement time series analysis in terms of pattern recognition, and trend correlation.
Similar to Building Analytic Apps for SaaS: “Analytics as a Service” (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.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
2. Today’s Presenters
David Potes, Partner Solutions Architect, Big Data, AWS
Mariano Luna, Sr. Manager, Technical Alliances & Cloud, TIBCO Software
Patrick Brown, VP of Digital Marketing, Waggle
Raj Chary, VP Technology/Architecture, Waggle
3. Relational data warehouse
Massively parallel; petabyte scale
Fully managed
HDD and SSD platforms
$1,000/TB/year; starts at $0.25/hour
Amazon
Redshift
a lot faster
a lot simpler
a lot cheaper
4. The Amazon Redshift view of data warehousing
10x cheaper
Easy to provision
Higher DBA productivity
10x faster
No programming
Easily leverage BI tools,
Hadoop, machine learning,
streaming
Analysis inline with process
flows
Pay as you go, grow as you
need
Managed availability and
disaster recovery
Enterprise Big data SaaS
5. Amazon Redshift architecture
Leader node
Simple SQL endpoint
Stores metadata
Optimizes query plan
Coordinates query execution
Compute nodes
Local columnar storage
Parallel/distributed execution of all queries, loads,
backups, restores, resizes
Start at just $0.25/hour, grow to 2 PB
(compressed)
DC1: SSD; scale from 160 GB to 326 TB
DS2: HDD; scale from 2 TB to 2 PB
Ingestion/backup
Backup
Restore
JDBC/ODBC
10 GigE
(HPC)
7. Benefit #1: Amazon Redshift is fast
Parallel and distributed
Query
Load
Export
Backup
Restore
Resize
8. Benefit #1: Amazon Redshift is fast
Hardware optimized for I/O intensive workloads, 4 GB/sec/node
Enhanced networking, over 1 million packets/sec/node
Choice of storage type, instance size
Regular cadence of autopatched improvements
9. Benefit #2: Amazon Redshift is inexpensive
Ds2 (HDD)
Price per hour for
DW1.XL single node
Effective annual
price per TB compressed
On demand $ 0.850 $ 3,725
1-year reservation $ 0.500 $ 2,190
3-year reservation $ 0.228 $ 999
Dc1 (SSD)
Price per hour for
DW2.L single node
Effective annual
price per TB compressed
On demand $ 0.250 $ 13,690
1-year reservation $ 0.161 $ 8,795
3-year reservation $ 0.100 $ 5,500
Pricing is simple
Number of nodes x price/hour
No charge for leader node
No upfront costs
Pay as you go
10. Benefit #3: Amazon Redshift is fully managed
Continuous/incremental backups
Multiple copies within cluster
Continuous and incremental backups
to Amazon S3
Continuous and incremental backups
across regions
Streaming restore
Amazon S3
Amazon S3
Region 1
Region 2
11. Benefit #4: Security is built in
• Load encrypted from Amazon S3
• SSL to secure data in transit
• ECDHE perfect forward security
• Amazon VPC for network isolation
• Encryption to secure data at rest
– All blocks on disks and in Amazon S3 encrypted
– Block key, cluster key, master key (AES-256)
– On-premises HSM and AWS CloudHSM support
• Audit logging and AWS CloudTrail integration
• SOC 1/2/3, PCI-DSS, FedRAMP, BAA
10 GigE
(HPC)
Ingestion
Backup
Restore
Customer VPC
Internal
VPC
JDBC/ODBC
12. Benefit #5: We innovate quickly
Well over 125 new features added since launch
Release every two weeks
Automatic patching
Service Launch (2/14)
PDX (4/2)
Temp Credentials (4/11)
DUB (4/25)
SOC1/2/3 (5/8)
Unload Encrypted Files
NRT (6/5)
JDBC Fetch Size (6/27)
Unload logs (7/5)
SHA1 Builtin (7/15)
4 byte UTF-8 (7/18)
Sharing snapshots (7/18)
Statement Timeout (7/22)
Timezone, Epoch, Autoformat (7/25)
WLM Timeout/Wildcards (8/1)
CRC32 Builtin, CSV, Restore Progress
(8/9)
Resource Level IAM (8/9)
PCI (8/22)
UTF-8 Substitution (8/29)
JSON, Regex, Cursors (9/10)
Split_part, Audit tables (10/3)
SIN/SYD (10/8)
HSM Support (11/11)
Kinesis EMR/HDFS/SSH copy,
Distributed Tables, Audit
Logging/CloudTrail, Concurrency, Resize
Perf., Approximate Count Distinct, SNS
Alerts, Cross Region Backup (11/13)
Distributed Tables, Single Node Cursor
Support, Maximum Connections to 500
(12/13)
EIP Support for VPC Clusters (12/28)
New query monitoring system tables and
diststyle all (1/13)
Redshift on DW2 (SSD) Nodes (1/23)
Compression for COPY from SSH, Fetch
size support for single node clusters, new
system tables with commit stats,
row_number(), strotol() and query
termination (2/13)
Resize progress indicator & Cluster
Version (3/21)
Regex_Substr, COPY from JSON (3/25)
50 slots, COPY from EMR, ECDHE
ciphers (4/22)
3 new regex features, Unload to single
file, FedRAMP(5/6)
Rename Cluster (6/2)
Copy from multiple regions,
percentile_cont, percentile_disc (6/30)
Free Trial (7/1)
pg_last_unload_count (9/15)
AES-128 S3 encryption (9/29)
UTF-16 support (9/29)
13. Benefit #6: Amazon Redshift is powerful
• Approximate functions
• User-defined functions
• Machine learning
• Data science
15. Hello, it’s me
Mariano Luna
Sr. Manager, Technical Alliances & Cloud
TIBCO Software (Houston, TX)
16. Do you feel like your users are always looking for more?
17. The Rise of Modern Applications
The Old Way Modern Applications
18. The Rise of Modern Applications
Your app
Analytics
Knowledge
worker
The Old Way Modern Applications
19. The Rise of Modern Applications
Your app
Analytics
Put answers
in context
Increase
adoption of BI
Give consumers
actionable data
Embedded Analytics
Knowledge
worker
The Old Way Modern Applications
21. Jaspersoft Overview
An embeddable analytics platform
designed for software companies
Jaspersoft Studio
Desktop report designer
for JasperReports
JasperReports Server
Powerful BI platform and server
Reports Dashboards Self-service
Jaspersoft ETL
Data integration for improved
reporting & analysis
JasperReports
World’s most popular Java
reporting library
22. From Data to Delivery
Connect to & manage
your platform
Server
Connect to
your data
Data Tier
Inside any app
or process
Delivery
Your app
Output
Create beautiful
reports & dashboards
23. Why Jaspersoft for AWS
OOTB multi-tenant
support
Built to 100% modern web
standards
RESTful web
service APIs
Visualize.js for
advanced
embedding
JavaScript/
HTML5 UI
10 minutes
to deploy
Autodetect for:
• RDS
• Redshift
• EMR
Starts at less
than $1/hour
Pay-as-you-go with
no user or data limits
Save with discounted
annual subscriptions
Autoscaling
clusters
Infinite elastic
scalability
Multi-AZ
enterprise
deployments
24. Patrick Brown - Vice President of Marketing
Raj Chary - Vice President of Technology/Architecture
25. Smart, responsive practice
Math and ELA (Grades 2-8)
Provides students the right
challenge at the right time
What is Waggle?
26. Right Challenge, Right
Time Waggle looks for more
than correct answers.
Waggle continually analyzes
each student’s decisions and
progress. That way, students
get tougher material right
when they’re ready.
What is Waggle?
27. Productive Struggle
Waggle motivates students to
push themselves forward.
How? Through helpful hints,
supportive feedback, and
achievement badges that
build grit and confidence.
What is Waggle?
28. Constructive Grouping
Waggle’s insights means you
can easily group students
together based on learning
needs. All without sacrificing
the quality of individual
instruction.
What is Waggle?
29. Waggle: Product Demo
• Data Creators
Differentiated learning experience
Fun and engaging
• Data Visualizers
Seamless integration with application
Analytics with a Story
Actionable Data
With integration deep dives into TIBCO Jaspersoft (Visualize.js) and AWS services (Redshift)
31. How did we build Waggle?
• Data Modelling
Lens-based model (distribution
keys and sort keys)
Ask and validate
Performance Efficiency
(compression, load/unload,
vacuum/analyze, in-memory
processing, WLM)
32. How did we build Waggle?
• Data Modelling
Lens-based model (distribution
keys and sort keys)
Ask and validate
Performance Efficiency
(compression, load/unload,
vacuum/analyze, in-memory
processing, WLM)
• Contextual Design
Prototype and
storyboard
Capture the “Intent”
33. Amazon Redshift: Data Warehouse
Layout
Write Cluster
Compute – dw2.large
Redshift
Read Cluster
Compute – dw2.large
Redshift
History Cluster
Density – dw1.xlarge
Redshift
Initial and
Incremental
{processed}
data loads
Periodic Data
Snapshots for
historical
analysis
Data
sources
For serving Jaspersoft
reports
APIs
OLTP
S3 COPY
S3
UnLoad
and Load
S3
UnLoad
and Load
Data mart
(aggregations)
NodesNodes
Staging
Datamart
(aggregations)
Nodes
S3 UnLoad and
Load
S3 UnLoad and
Load
+ UPSERTS
34. Results and Lessons Learned
• Performance Metrics
– Millions of records are processed in <1 minute
• LOAD/UNLOAD commands | UPSERTS | S3 COPY
Command
– Report queries average < 1 to ~1.5 seconds
– {compression} – gained 20+% efficiencies in data retrieval
• Best Practices
– {sort keys} – lens-based data model: visualize data in variety of ways
– {commit stats} – Redshift is not a transactional system
– {nested loops} – no Cartesian products, ensure joins well managed
– {queries that queue} – tune the WLM configuration
– {query runtimes} – faster query means less queuing
– {stats missing} – analyze and vacuum when possible
– {alerts with tables} – monitor to ensure queries running optimally