The document describes a workflow for managing business cards in a cloud-based service:
1. Business cards are scanned and undergo OCR processing and operator input to extract text and image data.
2. The data is stored in a database and can be searched, viewed, and edited through an application.
3. The service manages over 1.5 million business cards as searchable "assets" in the cloud.
(BDT209) Launch: Amazon Elasticsearch For Real-Time Data AnalyticsAmazon Web Services
Organizations are collecting an ever-increasing amount of data from numerous sources such as log systems, click streams, and connected devices. Launched in 2009, Elasticsearch —an open-source analytics and search engine— has emerged as a popular tool for real-time analytics and visualization of data. Some of the most common use cases include risk assessment, error detection, and sentiment analysis. However, as data volumes and applications grow, managing Elasticsearch clusters can consume significant IT resources while adding little or no differentiated value to the organization. Amazon Elasticsearch Service (Amazon ES) is a managed service that makes it easy to deploy, operate, and scale Elasticsearch clusters in the AWS Cloud. Amazon ES offers the benefits of a managed service, including cluster provisioning, easy configuration, replication for high availability, scaling options, data durability, security, and node monitoring. This session presents a technical deep dive on Amazon ES. Attendees learn: Common challenges with real-time data analytics and visualization and how to address them; the benefits, reference architecture, and best practices for using Amazon ES; and data ingestion options with Amazon DynamoDB, AWS Lambda, and Amazon Kinesis.
이제 빅데이터란 개념은 익숙한 것이 되었지만 이를 비지니스에 적용하고 최대의 효과를 얻는 방법에 대한 고찰은 여전히 필요합니다. 소중한 데이터를 쉽게 저장 및 분석하고 시각화하는 것은 비즈니스에 대한 통찰을 얻기 위한 중요한 과정입니다.
이 강연에서는 AWS Elastic MapReduce, Amazon Redshift, Amazon Kinesis 등 AWS가 제공하는 다양한 데이터 분석 도구를 활용해 보다 간편하고 빠른 빅데이터 분석 서비스를 구축하는 방법에 대해 소개합니다.
In this session, you learn how to set up a crawler to automatically discover your data and build your AWS Glue Data Catalog. You then auto-generate an AWS Glue ETL script, download it, and interactively edit it using a Zeppelin notebook, connected to an AWS Glue development endpoint. After that, you upload this script to Amazon S3, reuse it across multiple jobs, and add trigger conditions to run the jobs. The resulting datasets automatically get registered in the AWS Glue Data Catalog and you can then query these new datasets from Amazon EMR and Amazon Athena. Prerequisites: Knowledge of Python and familiarity with big data applications is preferred but not required. Attendees must bring their own laptops.
AWS Analytics Immersion Day - Build BI System from Scratch (Day1, Day2 Full V...Sungmin Kim
How to build Business Intelligence System from scratch on AWS (Day1, Day2)
------------------------------------------------------------------------------------------
2020-03-18(수)~19(목) 2일 동안 온라인으로 진행한 Online AWS Analytics Immersion Day 전체 발표 자료 입니다.
BI(Business Intelligence) 시스템을 설계하는 과정에서 AWS Analytics 서비스들을 어떻게 활용할 수 있는지 설명 드리고자 만든 자료 입니다.
Target Audience
-------------------
Online Analytics Immersion Day는 다음과 같은 고객을 대상으로 진행됩니다.
- AWS Analytics Services (ex. Kinesis, Athena, Redshift, EMR, etc)의 기본 개념을 알고 있지만, 이러한 서비스 활용 방법 및 데이터 분석 시스템 구축 과정이 궁금하신 분
- 데이터 분석 시스템을 구축한 경험은 있지만, 자신이 만든 시스템을 아키텍처 관점에서
어떻게 평가하고 확인할 수 있는지 궁금하신 분
(BDT209) Launch: Amazon Elasticsearch For Real-Time Data AnalyticsAmazon Web Services
Organizations are collecting an ever-increasing amount of data from numerous sources such as log systems, click streams, and connected devices. Launched in 2009, Elasticsearch —an open-source analytics and search engine— has emerged as a popular tool for real-time analytics and visualization of data. Some of the most common use cases include risk assessment, error detection, and sentiment analysis. However, as data volumes and applications grow, managing Elasticsearch clusters can consume significant IT resources while adding little or no differentiated value to the organization. Amazon Elasticsearch Service (Amazon ES) is a managed service that makes it easy to deploy, operate, and scale Elasticsearch clusters in the AWS Cloud. Amazon ES offers the benefits of a managed service, including cluster provisioning, easy configuration, replication for high availability, scaling options, data durability, security, and node monitoring. This session presents a technical deep dive on Amazon ES. Attendees learn: Common challenges with real-time data analytics and visualization and how to address them; the benefits, reference architecture, and best practices for using Amazon ES; and data ingestion options with Amazon DynamoDB, AWS Lambda, and Amazon Kinesis.
이제 빅데이터란 개념은 익숙한 것이 되었지만 이를 비지니스에 적용하고 최대의 효과를 얻는 방법에 대한 고찰은 여전히 필요합니다. 소중한 데이터를 쉽게 저장 및 분석하고 시각화하는 것은 비즈니스에 대한 통찰을 얻기 위한 중요한 과정입니다.
이 강연에서는 AWS Elastic MapReduce, Amazon Redshift, Amazon Kinesis 등 AWS가 제공하는 다양한 데이터 분석 도구를 활용해 보다 간편하고 빠른 빅데이터 분석 서비스를 구축하는 방법에 대해 소개합니다.
In this session, you learn how to set up a crawler to automatically discover your data and build your AWS Glue Data Catalog. You then auto-generate an AWS Glue ETL script, download it, and interactively edit it using a Zeppelin notebook, connected to an AWS Glue development endpoint. After that, you upload this script to Amazon S3, reuse it across multiple jobs, and add trigger conditions to run the jobs. The resulting datasets automatically get registered in the AWS Glue Data Catalog and you can then query these new datasets from Amazon EMR and Amazon Athena. Prerequisites: Knowledge of Python and familiarity with big data applications is preferred but not required. Attendees must bring their own laptops.
AWS Analytics Immersion Day - Build BI System from Scratch (Day1, Day2 Full V...Sungmin Kim
How to build Business Intelligence System from scratch on AWS (Day1, Day2)
------------------------------------------------------------------------------------------
2020-03-18(수)~19(목) 2일 동안 온라인으로 진행한 Online AWS Analytics Immersion Day 전체 발표 자료 입니다.
BI(Business Intelligence) 시스템을 설계하는 과정에서 AWS Analytics 서비스들을 어떻게 활용할 수 있는지 설명 드리고자 만든 자료 입니다.
Target Audience
-------------------
Online Analytics Immersion Day는 다음과 같은 고객을 대상으로 진행됩니다.
- AWS Analytics Services (ex. Kinesis, Athena, Redshift, EMR, etc)의 기본 개념을 알고 있지만, 이러한 서비스 활용 방법 및 데이터 분석 시스템 구축 과정이 궁금하신 분
- 데이터 분석 시스템을 구축한 경험은 있지만, 자신이 만든 시스템을 아키텍처 관점에서
어떻게 평가하고 확인할 수 있는지 궁금하신 분
Customers are migrating their analytics, data processing (ETL), and data science workloads running on Apache Hadoop, Spark, and data warehouse appliances from on-premise deployments to AWS in order to save costs, increase availability, and improve performance. AWS offers a broad set of analytics services, including solutions for batch processing, stream processing, machine learning, data workflow orchestration, and data warehousing. This session will focus on identifying the components and workflows in your current environment; and providing the best practices to migrate these workloads to the right AWS data analytics product. We will cover services such as Amazon EMR, Amazon Athena, Amazon Redshift, Amazon Kinesis, and more. We will also feature Vanguard, an American investment management company based in Malvern, Pennsylvania with over $4.4 trillion in assets under management. Ritesh Shah, Sr. Program Manager for Cloud Analytics Program at Vanguard, will describe how they orchestrated their migration to AWS analytics services, including Hadoop and Spark workloads to Amazon EMR. Ritesh will highlight the technical challenges they faced and overcame along the way, as well as share common recommendations and tuning tips to accelerate the time to production.
AWS Batch는 다양한 컴퓨팅 일괄 처리 작업을 손쉽게 관리해 주는 서비스입니다. 작업 규모에 따라 자동으로 EC2 워크로드 배포를 최적화해 줍니다. 본 세션에서는 AWS Batch의 핵심 개념과 서비스 기능 및 배치 작업의 다양한 처리 패턴 및 다른 서비스와 연동한 처리 방법을 다룹니다. 지난 3월 서울 리전에 출시한 Batch 서비스에 대한 자세한 소개와 함께 다양한 활용 팁을 데모와 함께 소개해 드립니다.
최근 데이터의 폭증과 이를 기반한 빅데이터 분석이 기업 비지니스 성패에 큰 영향을 끼치고 있습니다. 다양한 기업의 데이터 기반 의사 결정을 위한 요구를 수용하는 분석 플랫폼과 인공 지능 기술의 도입은 큰 화두입니다. 본 세션에서는 기업의 비지니스 전략 및 기획을 담당하시는 분들을 위해 클라우드 기반 데이터 분석 플랫폼을 쉽게 접근하고 사용할 수 있는 방법을 사례 위주로 소개합니다.국내외 주요 기업들이 어떻게 AWS기반 데이터 분석 및 기계 학습 서비스로 비지니스 혁신에 활용하고 있는지 알아보시기 바랍니다.
다시보기 링크: https://youtu.be/24YgdrJ9r-A
Healthcare data is often large and complex enough to be complete, or simple enough to be usable: choose one. In this session, you will learn how Cerner tackled this problem for healthcare and other complex data sets on AWS. Cerner started with patterns to quickly evolve an infrastructure based on AWS to meet new demands, move into data engineering techniques on Apache Spark to make otherwise unmanageable data sets simple and usable, and connect that through to popular front-end tools for analysts and data scientists like Jupyter. You will also learn how Cerner is helping healthcare informaticians focus more on their analysis and less on undifferentiated heavy data lifting.
AWS Webinar 23 - Getting Started with AWS - Understanding total cost of owner...Cobus Bernard
In this session, we will go over cloud economics and understanding the total cost of ownership (TCO) when building in the cloud and how you are trading upfront capital expenditure (CapEx) for operational expenditure (OpEx). We will also look at how the TCO changes over time as you start modernising your applications to make full use of the cloud's capabilities. Lastly, we will cover the different purchasing options to help you understand how you can reduce costs even further by identifying consistent, base workloads.
In this session, you learn how to set up a crawler to automatically discover your data and build your AWS Glue Data Catalog. You then auto-generate an AWS Glue ETL script, download it, and interactively edit it using a Zeppelin notebook, connected to an AWS Glue development endpoint. After that, you upload this script to Amazon S3, reuse it across multiple jobs, and add trigger conditions to run the jobs. The resulting datasets automatically get registered in the AWS Glue Data Catalog and you can then query these new datasets from Amazon EMR and Amazon Athena. Prerequisites: Knowledge of Python and familiarity with big data applications is preferred but not required. Attendees must bring their own laptops.
Comment envisager l'architecture d'une solution dans le Cloud ? Quelles différences avec un hébergement classique ?
Nous illustrerons les grands principes du développement Cloud en prenant l'exemple d'une application web typique. Nous construirons l'architecture étape par étape pour la rendre scalable et lui faire bénéficier des avantages du Cloud.
Nous verrons ensuite les différents types d'implémentations et choix technologiques possibles de cette architecture sur le Cloud Microsoft Azure. Nous envisagerons aussi bien des services d'infrastructure (VMs, conteneurs, …) que des services de plus haut niveau de type plateforme, du serverless, des bases de données managées…
Nous zoomerons ensuite sur l'acquisition de la donnée et son traitement dans un contexte Big Data et verrons les caractéristiques d'une architecture lambda et ses implémentations possibles sur Azure (Hadoop, …). Nous terminerons par les différentes manières d'ajouter de l'intelligence dans sa solution : de la plus simple à mettre en œuvre pour le développeur via des APIs pré-packagées, à la plus élaborée et personnalisable pour le Data Scientist. Mais aussi comment la rendre plus facilement accessible par l'utilisateur via un bot Skype, Facebook, Slack, email, SMS...
Support du meetup https://www.meetup.com/fr-FR/Duchess-France-Meetup/events/238437772/
Nesta sessão faremos uma demonstração de controle e defesa de tráfego aéreo utilizando processamento em tempo real. Trataremos das boas práticas para ingestão, armazenamento, processamento e visualização de dados através de serviços da AWS como Kinesis, DynamoDB, Lambda, Redshift, Quicksight e Amazon Machine Learning.
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.
Slide-deck used in Bend Web Design and Development Meetup (http://web.archive.org/web/20150728021205/http://www.meetup.com/Bend-Web-Design-and-Development/events/222592014/)
Cloud storage provides education with a reliable, scalable, and secure alternative to on-premises storage systems. AWS offers eight different object, file, and block storage options supporting applications, archiving and compliance options. This webinar will provide an overview to the services and key education use cases ranging from data center replacement to video storage and file sharing. Services covered include Amazon S3, Amazon EFS, Amazon EBS, Amazon Glacier, Amazon Storage Gateway, and the Snowball family.
ENT313 Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum E...Amazon Web Services
In the event of a disaster, you need to be able to recover lost data quickly to ensure business continuity. For critical applications, keeping your time to recover and data loss to a minimum as well as optimizing your overall capital expense can be challenging. This session presents AWS features and services along with Disaster Recovery architectures that you can leverage when building highly available and disaster resilient applications. We will provide recommendations on how to improve your Disaster Recovery plan and discuss example scenarios showing how to recover from a disaster.
Customers are migrating their analytics, data processing (ETL), and data science workloads running on Apache Hadoop, Spark, and data warehouse appliances from on-premise deployments to AWS in order to save costs, increase availability, and improve performance. AWS offers a broad set of analytics services, including solutions for batch processing, stream processing, machine learning, data workflow orchestration, and data warehousing. This session will focus on identifying the components and workflows in your current environment; and providing the best practices to migrate these workloads to the right AWS data analytics product. We will cover services such as Amazon EMR, Amazon Athena, Amazon Redshift, Amazon Kinesis, and more. We will also feature Vanguard, an American investment management company based in Malvern, Pennsylvania with over $4.4 trillion in assets under management. Ritesh Shah, Sr. Program Manager for Cloud Analytics Program at Vanguard, will describe how they orchestrated their migration to AWS analytics services, including Hadoop and Spark workloads to Amazon EMR. Ritesh will highlight the technical challenges they faced and overcame along the way, as well as share common recommendations and tuning tips to accelerate the time to production.
AWS Batch는 다양한 컴퓨팅 일괄 처리 작업을 손쉽게 관리해 주는 서비스입니다. 작업 규모에 따라 자동으로 EC2 워크로드 배포를 최적화해 줍니다. 본 세션에서는 AWS Batch의 핵심 개념과 서비스 기능 및 배치 작업의 다양한 처리 패턴 및 다른 서비스와 연동한 처리 방법을 다룹니다. 지난 3월 서울 리전에 출시한 Batch 서비스에 대한 자세한 소개와 함께 다양한 활용 팁을 데모와 함께 소개해 드립니다.
최근 데이터의 폭증과 이를 기반한 빅데이터 분석이 기업 비지니스 성패에 큰 영향을 끼치고 있습니다. 다양한 기업의 데이터 기반 의사 결정을 위한 요구를 수용하는 분석 플랫폼과 인공 지능 기술의 도입은 큰 화두입니다. 본 세션에서는 기업의 비지니스 전략 및 기획을 담당하시는 분들을 위해 클라우드 기반 데이터 분석 플랫폼을 쉽게 접근하고 사용할 수 있는 방법을 사례 위주로 소개합니다.국내외 주요 기업들이 어떻게 AWS기반 데이터 분석 및 기계 학습 서비스로 비지니스 혁신에 활용하고 있는지 알아보시기 바랍니다.
다시보기 링크: https://youtu.be/24YgdrJ9r-A
Healthcare data is often large and complex enough to be complete, or simple enough to be usable: choose one. In this session, you will learn how Cerner tackled this problem for healthcare and other complex data sets on AWS. Cerner started with patterns to quickly evolve an infrastructure based on AWS to meet new demands, move into data engineering techniques on Apache Spark to make otherwise unmanageable data sets simple and usable, and connect that through to popular front-end tools for analysts and data scientists like Jupyter. You will also learn how Cerner is helping healthcare informaticians focus more on their analysis and less on undifferentiated heavy data lifting.
AWS Webinar 23 - Getting Started with AWS - Understanding total cost of owner...Cobus Bernard
In this session, we will go over cloud economics and understanding the total cost of ownership (TCO) when building in the cloud and how you are trading upfront capital expenditure (CapEx) for operational expenditure (OpEx). We will also look at how the TCO changes over time as you start modernising your applications to make full use of the cloud's capabilities. Lastly, we will cover the different purchasing options to help you understand how you can reduce costs even further by identifying consistent, base workloads.
In this session, you learn how to set up a crawler to automatically discover your data and build your AWS Glue Data Catalog. You then auto-generate an AWS Glue ETL script, download it, and interactively edit it using a Zeppelin notebook, connected to an AWS Glue development endpoint. After that, you upload this script to Amazon S3, reuse it across multiple jobs, and add trigger conditions to run the jobs. The resulting datasets automatically get registered in the AWS Glue Data Catalog and you can then query these new datasets from Amazon EMR and Amazon Athena. Prerequisites: Knowledge of Python and familiarity with big data applications is preferred but not required. Attendees must bring their own laptops.
Comment envisager l'architecture d'une solution dans le Cloud ? Quelles différences avec un hébergement classique ?
Nous illustrerons les grands principes du développement Cloud en prenant l'exemple d'une application web typique. Nous construirons l'architecture étape par étape pour la rendre scalable et lui faire bénéficier des avantages du Cloud.
Nous verrons ensuite les différents types d'implémentations et choix technologiques possibles de cette architecture sur le Cloud Microsoft Azure. Nous envisagerons aussi bien des services d'infrastructure (VMs, conteneurs, …) que des services de plus haut niveau de type plateforme, du serverless, des bases de données managées…
Nous zoomerons ensuite sur l'acquisition de la donnée et son traitement dans un contexte Big Data et verrons les caractéristiques d'une architecture lambda et ses implémentations possibles sur Azure (Hadoop, …). Nous terminerons par les différentes manières d'ajouter de l'intelligence dans sa solution : de la plus simple à mettre en œuvre pour le développeur via des APIs pré-packagées, à la plus élaborée et personnalisable pour le Data Scientist. Mais aussi comment la rendre plus facilement accessible par l'utilisateur via un bot Skype, Facebook, Slack, email, SMS...
Support du meetup https://www.meetup.com/fr-FR/Duchess-France-Meetup/events/238437772/
Nesta sessão faremos uma demonstração de controle e defesa de tráfego aéreo utilizando processamento em tempo real. Trataremos das boas práticas para ingestão, armazenamento, processamento e visualização de dados através de serviços da AWS como Kinesis, DynamoDB, Lambda, Redshift, Quicksight e Amazon Machine Learning.
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.
Slide-deck used in Bend Web Design and Development Meetup (http://web.archive.org/web/20150728021205/http://www.meetup.com/Bend-Web-Design-and-Development/events/222592014/)
Cloud storage provides education with a reliable, scalable, and secure alternative to on-premises storage systems. AWS offers eight different object, file, and block storage options supporting applications, archiving and compliance options. This webinar will provide an overview to the services and key education use cases ranging from data center replacement to video storage and file sharing. Services covered include Amazon S3, Amazon EFS, Amazon EBS, Amazon Glacier, Amazon Storage Gateway, and the Snowball family.
ENT313 Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum E...Amazon Web Services
In the event of a disaster, you need to be able to recover lost data quickly to ensure business continuity. For critical applications, keeping your time to recover and data loss to a minimum as well as optimizing your overall capital expense can be challenging. This session presents AWS features and services along with Disaster Recovery architectures that you can leverage when building highly available and disaster resilient applications. We will provide recommendations on how to improve your Disaster Recovery plan and discuss example scenarios showing how to recover from a disaster.
How Intuit Leveraged AWS OpsWorks as the Engine of Our PaaS (DMG305) | AWS re...Amazon Web Services
In this talk, the engineering team behind the Intuit PaaS takes you through the design of our shared PaaS and its integration with AWS OpsWorks. We give an overview of why we decided to build our own PaaS, why we chose OpsWorks as the engine, technical details of the implementation as well as all the challenges in building a shared runtime environment for different applications. Anyone interested in OpsWorks or building a PaaS should attend for key lessons from our journey.
Speed and Reliability at Any Scale: Amazon SQS and Database Services (SVC206)...Amazon Web Services
Amazon Simple Queue Service (Amazon SQS) makes it easy and inexpensive to enhance the scalability and reliability of your cloud application. In this session, we demonstrate design patterns for using Amazon SQS in conjunction with Amazon Simple Storage Service (Amazon S3), Amazon DynamoDB, Amazon Elastic MapReduce, Amazon Relational Database Service, and Amazon Redshift. Shazam will share their experience of combining Amazon SQS with Amazon DynamoDB to support a Super Bowl advertising campaign.
For more training on AWS, visit: https://www.qa.com/amazon
AWS Loft | London - Deep Dive: Amazon RDS by Toby Knight, Manager Solutions Architecture, 18 April 2016
Best Practices Scaling Web Application Up to Your First 10 Million UsersAmazon Web Services
If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Cloud computing gives you a number of advantages, such as the ability to scale your web application on demand. Join us in this webinar 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.
Join this workshop to understand the core concepts of “Cloud Computing” and how businesses around the world are running the infrastructure that supports their websites to lower costs, improve time-to-market, and enable rapid scalability matching resource to demands of users. Whether you are an enterprise looking for IT innovation, agility and resiliency or small and medium business who wants to accelerate growth without a big upfront investment in cash or time for technology, the AWS Cloud provides a complete set of services at zero upfront costs which are available with a few clicks and within minutes.
(SOV204) Scaling Up to Your First 10 Million Users | AWS re:Invent 2014Amazon Web Services
Cloud computing gives you a number of advantages, such as the ability to scale your application on demand. If you have a new business and want to use cloud computing, you might be asking yourself, andquot;Where do I start?andquot; 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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
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.
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.