Talk by Dilip Kola, Co-Founder of Tensult on the topic "Advanced serverless application architecture and design considerations" at AWS Community Day Bangalore 2018
Advanced Serverless application architecture and design considerationsDilip Kola
I have presented at AWS Community day on serverless application architecture on behalf of Tensult: https://tensult.com/.
This contains a case study of Large-scale blog site design and also Lambda function gotchas and how to overcome them.
Build a Photo-Sharing App with AI-Powered Face and Object Detection (MOB306) ...Amazon Web Services
In this workshop, we build a data-driven web app that lets users upload to shared, secure photo galleries. We use AWS AppSync to get up and running quickly with a GraphQL API that backs our data in Amazon DynamoDB. In addition, we demonstrate how to use AWS Amplify library to authenticate users, communicate with our API, and manage photo uploads. Finally, we add in AI-powered face and object tagging using Amazon Rekognition, allowing users to discover photos without any manual data entry.
Serverless Industry 4.0 & AI: Drive Business Insights from Machine Data (IOT4...Amazon Web Services
In this workshop, we provide a hands-on approach for building the complete Industry 4.0 AI dataflow – from accessing data on machines to deploying AI models on the edge. Learn how to combine fully managed AWS IoT services for such a solution. First, we connect different industrial devices using AWS Greengrass with industry protocols (e.g., OPC UA). Next, we use AWS IoT Analytics to create AI models with Amazon SageMaker. Finally, we deploy and run models with AWS Greengrass Machine Learning (ML) Inference.
Transforming the Upstream Oil and Gas with AWS ML Solutions (OIG302) - AWS re...Amazon Web Services
What if you could enhance seismic data with nothing but a few well-logged datasets using machine learning (ML) to automatically predict porosity, permeability, density, and any other lithology data in real time? Today, much of the analysis in exploration is done manually, which is tedious and error-prone. There are endless applications for these insights, from upstream to downstream. In this session, we demonstrate how Amazon SageMaker can automate tasks to extract deeper insights to power better decisions and to reduce interpretation time from months to days. We also engage in a discussion about some of the applications for ML in oil and gas, including improving safety outcomes, improving asset management and maintenance, and optimizing well placement.
Build and Collaborate on a Modern Web Application on AWS - SRV403 - Atlanta A...Amazon Web Services
In this modern app workshop, you'll learn to deploy a fully-functional web application on AWS using services that enable developers to focus on writing code without worrying about managing underlying infrastructure. You'll use services such as AWS Fargate, AWS Lambda, and Amazon DynamoDB to build and deploy a web application on AWS, connect your app to a backend database, and capture and analyze data on user behavior. More importantly, we encourage your participation. Attendees will be able to collaborate in building and improving this workshop by filing issues and submitting pull requests in GitHub. Workshop requirements: A laptop (Mac or PC), an AWS account and administrator-level access to it, and an active GitHub account.
Enable Programmatic and Federated Access to Amazon Athena (ANT380-R1) - AWS r...Amazon Web Services
Queries on Amazon Athena can be executed in a number of ways, which enables a broad range of use cases. In this session, learn how to use the Athena API and JDBC and ODBC drivers to connect your applications and users to data. We discuss different authorization options to enable federated identities to connect to Athena.
Enabling Edge Processing & Surgical Suite Integration with AWS Snowball Edge ...Amazon Web Services
In this session, we walk through the architecture and key learnings of Alcon, the developer of SMART Suite, a digital platform designed to streamline and simplify cataract surgery for surgeons and patients. Leveraging Philips’ HSDP Edge (based on AWS Snowball Edge), Alcon deploys a local access point for IoT devices to locally connect to in order to access the discovery, proxy, data broker, and firmware services. By hosting these services locally at the site, Alcon achieves faster response times to local events and can continue to operate in the event of a loss of connectivity. Snowball Edge is also a consolidation point for local data sets that will be asynchronously replicated to the cloud.
Advanced Serverless application architecture and design considerationsDilip Kola
I have presented at AWS Community day on serverless application architecture on behalf of Tensult: https://tensult.com/.
This contains a case study of Large-scale blog site design and also Lambda function gotchas and how to overcome them.
Build a Photo-Sharing App with AI-Powered Face and Object Detection (MOB306) ...Amazon Web Services
In this workshop, we build a data-driven web app that lets users upload to shared, secure photo galleries. We use AWS AppSync to get up and running quickly with a GraphQL API that backs our data in Amazon DynamoDB. In addition, we demonstrate how to use AWS Amplify library to authenticate users, communicate with our API, and manage photo uploads. Finally, we add in AI-powered face and object tagging using Amazon Rekognition, allowing users to discover photos without any manual data entry.
Serverless Industry 4.0 & AI: Drive Business Insights from Machine Data (IOT4...Amazon Web Services
In this workshop, we provide a hands-on approach for building the complete Industry 4.0 AI dataflow – from accessing data on machines to deploying AI models on the edge. Learn how to combine fully managed AWS IoT services for such a solution. First, we connect different industrial devices using AWS Greengrass with industry protocols (e.g., OPC UA). Next, we use AWS IoT Analytics to create AI models with Amazon SageMaker. Finally, we deploy and run models with AWS Greengrass Machine Learning (ML) Inference.
Transforming the Upstream Oil and Gas with AWS ML Solutions (OIG302) - AWS re...Amazon Web Services
What if you could enhance seismic data with nothing but a few well-logged datasets using machine learning (ML) to automatically predict porosity, permeability, density, and any other lithology data in real time? Today, much of the analysis in exploration is done manually, which is tedious and error-prone. There are endless applications for these insights, from upstream to downstream. In this session, we demonstrate how Amazon SageMaker can automate tasks to extract deeper insights to power better decisions and to reduce interpretation time from months to days. We also engage in a discussion about some of the applications for ML in oil and gas, including improving safety outcomes, improving asset management and maintenance, and optimizing well placement.
Build and Collaborate on a Modern Web Application on AWS - SRV403 - Atlanta A...Amazon Web Services
In this modern app workshop, you'll learn to deploy a fully-functional web application on AWS using services that enable developers to focus on writing code without worrying about managing underlying infrastructure. You'll use services such as AWS Fargate, AWS Lambda, and Amazon DynamoDB to build and deploy a web application on AWS, connect your app to a backend database, and capture and analyze data on user behavior. More importantly, we encourage your participation. Attendees will be able to collaborate in building and improving this workshop by filing issues and submitting pull requests in GitHub. Workshop requirements: A laptop (Mac or PC), an AWS account and administrator-level access to it, and an active GitHub account.
Enable Programmatic and Federated Access to Amazon Athena (ANT380-R1) - AWS r...Amazon Web Services
Queries on Amazon Athena can be executed in a number of ways, which enables a broad range of use cases. In this session, learn how to use the Athena API and JDBC and ODBC drivers to connect your applications and users to data. We discuss different authorization options to enable federated identities to connect to Athena.
Enabling Edge Processing & Surgical Suite Integration with AWS Snowball Edge ...Amazon Web Services
In this session, we walk through the architecture and key learnings of Alcon, the developer of SMART Suite, a digital platform designed to streamline and simplify cataract surgery for surgeons and patients. Leveraging Philips’ HSDP Edge (based on AWS Snowball Edge), Alcon deploys a local access point for IoT devices to locally connect to in order to access the discovery, proxy, data broker, and firmware services. By hosting these services locally at the site, Alcon achieves faster response times to local events and can continue to operate in the event of a loss of connectivity. Snowball Edge is also a consolidation point for local data sets that will be asynchronously replicated to the cloud.
Hollywood's Cloud-Based Content Lakes: Modernized Media Archives (MAE203) - A...Amazon Web Services
Content lake architecture can evolve the media workflow by providing efficiency from content security all the way to value-added services, such as machine learning and content monetization. In this session, technical leaders from 21st Century Fox, Warner Bros., and Astro Malaysia discuss the migration of their petabyte-scale video libraries (production and distribution archives) to the cloud in order to increase the customer reach and value of their media archives. Discover some of the lessons learned, the TCO analysis around various different storage tiers, the challenges and best practices from 10s of petabytes ingest, storage, and value-added compute at scale.
Automatic Model Tuning Using Amazon SageMaker (AIM412) - AWS re:Invent 2018Amazon Web Services
In many cases, what separates good models from great ones is the choice of hyperparameters. For example, what is the number of layers you should use; what should be the learning rate; what should be regularization parameters, and so on. In this session, learn how Amazon SageMaker makes discovering the best set of hyperparameters an informed process during training.
The Intelligent Edge for IoT: Help Customers Harness the Power of Connected I...Amazon Web Services
At AWS, we bring together our partners and AWS IoT services to offer solutions, including hardware solutions, that leverage edge and cloud technologies used to build IoT applications with edge computing capabilities. These solutions provide customers with the intelligence needed to achieve real business outcomes. In this session, learn how we work with our partner community to develop strategies and build solutions.
If you need to query relationships between data, you need a graph database. We’ll take a close look at Amazon Neptune, explore the differences between property graphs and RDF, then do graph data queries using Apache Tinkerpop. You’ll need a laptop with a Firefox or Chrome browser.
AWS IoT Analytics collects, processes, and analyzes IoT data quickly and easily so you can gain operational insights. To collect data and prepare it for analysis, you use Channels. Channels listen to devices and pull device messages into AWS IoT Analytics. Once messages are flowing, pipelines process messages and turn them into useful data using techniques like transforms and filters. Pipelines also enrich your IoT data with data from other AWS service and external data sources. After it's processed, data is stored in an IoT-optimized data store. Once data is ready to be analyzed, datasets are created by querying the data or by using built-in Jupyter notebook templates for sophisticated analytics, such as machine learning. AWS IoT Analytics integrates with Amazon SageMaker so you can build machine learning models, such as predictive analytics. Join us for a deep dive on these components.
Gaining Visibility and Insight into Your Distributed Applications with AWS X-...Amazon Web Services
Gaining Visibility and Insight into Your Distributed Applications with AWS X-Ray and AWS Step Functions
Distributed applications present an additional layer of complexity over traditional monolithic designs and make monitoring, debugging, and optimising systems a challenge. AWS Step Functions manages the heavy-lifting of state management and coordination between tasks, making it easier to build distributed applications with complex business workflows. In this session you will learn how to build state machines to orchestrate multi-step serverless applications and gain operational visibility into your distributed applications using AWS X-Ray.
Glenn Gillen, Solutions Architect, Amazon Web Services
Build a "Who's Who" App for Your Media Content (AIM409) - AWS re:Invent 2018Amazon Web Services
Video has become an increasingly successful medium for advertising, marketing, and engaging customers. However, many companies underutilize their substantial video assets because they are poorly indexed and cataloged. In this workshop, learn how to use machine learning services to gain more value from video by building a customer celebrity detection feature that can recognize mainstream celebrities and individuals from your own uploaded media files.
AI/ML with Data Lakes: Counterintuitive Consumer Insights in Retail (RET206) ...Amazon Web Services
In this session, learn how data scientists in the retail industry, from companies like Tapestry, Coach, and Kate Spade, are finding new, counterintuitive consumer insights using AWS artificial intelligence services in a data lake. By leveraging data from various retail systems, including CRM, marketing, e-commerce, point of sale, order management, merchandising, and customer care, we show you how these consumer insights might influence new and interesting retail use cases while establishing a data-driven culture within the organization. Services referenced include Amazon S3, Amazon Machine Learning, Amazon QuickSight, Amazon SageMaker, among others.
Database Week at the San Francisco Loft: Adding Search to DynamoDB
Redis is an open source, in-memory data store that delivers sub-millisecond response times enabling millions of requests per second to power real-time applications. It can be used as a fast database, cache, message broker, and queue. Amazon ElastiCache delivers the ease-of-use and power of Redis along with the availability, reliability, scalability, security, and performance suitable for the most demanding applications. We’ll take a close look at Redis and how to use it to power different use cases.
Speaker: Abhinav Singh - DMS/SCT Support Engineer, AWS
Database Week at the San Francisco Loft
Using Search with a Database
Amazon Elasticsearch Service makes it easy to deploy, secure, operate, and scale Elasticsearch for log analytics, full text search, application monitoring, and more. Amazon Elasticsearch Service is a fully managed service that delivers Elasticsearch’s easy-to-use APIs and real-time analytics capabilities alongside the availability, scalability, and security that production workloads require.
Speakers:
Jon Handler - Principal, Solutions Architect, AWS
Eric Tobin - Solutions Architect, AWS
Hosting For Your Startup, Side Project, or Big Dollar App - Minnebar 12Keith Resar
Learn how to effectively plan your hosting, whether on IaaS, PaaS, or something in between. Using three of my apps as example use cases we answer the "build vs. buy" question.
Minnebar 12 presentation.
Sharing our work on optimizing PV energy yield leveraging IIoT, serverless framework, Elasticsearch and numerous open source tools with Los Angeles' Elastic User Group
Create Immersive Experiences Using Amazon Sumerian (ARV204-R1) - AWS re:Inven...Amazon Web Services
Anyone can create and publish augmented reality (AR), virtual reality (VR), and 3D applications quickly and easily with Amazon Sumerian. In this session, learn how to use Sumerian to build a scene that can be published and viewed on laptops, mobile phones, VR headsets, and digital signage. Take a tour of the Sumerian interface, and learn how to build a scene, add assets and hosts, and add behaviors to create dynamically animated objects and characters in an AR/VR experience. Also see how Sumerian integrates into AWS services such as Amazon Polly, Amazon Lex, AWS Lambda, Amazon S3, and Amazon DynamoDB.
AWS Step Functions is a web service that enables you to coordinate the components of distributed applications and microservices using visual workflows.
In this lab you will load data into a MySQL instance running on EC2. Next you will create an Aurora MySQL instance. Finally, you will use DMS to migrate data from one MySQL database to another.
Speakers:
Rajanikanth Bhargava Chilakapati - Solutions Architect, AWS
Somdeb Bhattacharjee - Solutions Architect, AWS
Chris England - Sr. Technical Account Manager, AWS
In the lab you will create a Neptune instance and configure security groups. You will then use Gremlin to run transversals after you load data into Neptune.
Speakers:
Taylor Riggan - Solutions Architect, AWS
Shayon Sanyal - Database Consultant, AWS
Haider Naqvi - Solutions Architect, AWS
Krishna Reddy - Technical Account Manager, AWS
Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...Amazon Web Services
You’ve designed and built a well-architected data lake and ingested extreme amounts of structured and unstructured data. Now what? In this session, we explore real-world use cases where data scientists, developers, and researchers have discovered new and valuable ways to extract business insights using advanced analytics and machine learning. We review Amazon S3, Amazon Glacier, and Amazon EFS, the foundation for the analytics clusters and data engines. We also explore analytics tools and databases, including Amazon Redshift, Amazon Athena, Amazon EMR, Amazon QuickSight, Amazon Kinesis, Amazon RDS, and Amazon Aurora; and we review the AWS machine learning portfolio and AI services such as Amazon SageMaker, AWS Deep Learning AMIs, Amazon Rekognition, and Amazon Lex. We discuss how all of these pieces fit together to build intelligent applications.
AWS Lambda use cases and best practices - Builders Day IsraelAmazon Web Services
AWS Lambda allows you to run you code on a Serverless infrastructure, while AWS takes care of all the heavy lifting of Provisioning and utilization, Availability and fault tolerance, Scaling and Operations and management. In this session, we will take few use cases, from common development scenarios, and show how can we use AWS Lambda to build smarter and better systems.
Hollywood's Cloud-Based Content Lakes: Modernized Media Archives (MAE203) - A...Amazon Web Services
Content lake architecture can evolve the media workflow by providing efficiency from content security all the way to value-added services, such as machine learning and content monetization. In this session, technical leaders from 21st Century Fox, Warner Bros., and Astro Malaysia discuss the migration of their petabyte-scale video libraries (production and distribution archives) to the cloud in order to increase the customer reach and value of their media archives. Discover some of the lessons learned, the TCO analysis around various different storage tiers, the challenges and best practices from 10s of petabytes ingest, storage, and value-added compute at scale.
Automatic Model Tuning Using Amazon SageMaker (AIM412) - AWS re:Invent 2018Amazon Web Services
In many cases, what separates good models from great ones is the choice of hyperparameters. For example, what is the number of layers you should use; what should be the learning rate; what should be regularization parameters, and so on. In this session, learn how Amazon SageMaker makes discovering the best set of hyperparameters an informed process during training.
The Intelligent Edge for IoT: Help Customers Harness the Power of Connected I...Amazon Web Services
At AWS, we bring together our partners and AWS IoT services to offer solutions, including hardware solutions, that leverage edge and cloud technologies used to build IoT applications with edge computing capabilities. These solutions provide customers with the intelligence needed to achieve real business outcomes. In this session, learn how we work with our partner community to develop strategies and build solutions.
If you need to query relationships between data, you need a graph database. We’ll take a close look at Amazon Neptune, explore the differences between property graphs and RDF, then do graph data queries using Apache Tinkerpop. You’ll need a laptop with a Firefox or Chrome browser.
AWS IoT Analytics collects, processes, and analyzes IoT data quickly and easily so you can gain operational insights. To collect data and prepare it for analysis, you use Channels. Channels listen to devices and pull device messages into AWS IoT Analytics. Once messages are flowing, pipelines process messages and turn them into useful data using techniques like transforms and filters. Pipelines also enrich your IoT data with data from other AWS service and external data sources. After it's processed, data is stored in an IoT-optimized data store. Once data is ready to be analyzed, datasets are created by querying the data or by using built-in Jupyter notebook templates for sophisticated analytics, such as machine learning. AWS IoT Analytics integrates with Amazon SageMaker so you can build machine learning models, such as predictive analytics. Join us for a deep dive on these components.
Gaining Visibility and Insight into Your Distributed Applications with AWS X-...Amazon Web Services
Gaining Visibility and Insight into Your Distributed Applications with AWS X-Ray and AWS Step Functions
Distributed applications present an additional layer of complexity over traditional monolithic designs and make monitoring, debugging, and optimising systems a challenge. AWS Step Functions manages the heavy-lifting of state management and coordination between tasks, making it easier to build distributed applications with complex business workflows. In this session you will learn how to build state machines to orchestrate multi-step serverless applications and gain operational visibility into your distributed applications using AWS X-Ray.
Glenn Gillen, Solutions Architect, Amazon Web Services
Build a "Who's Who" App for Your Media Content (AIM409) - AWS re:Invent 2018Amazon Web Services
Video has become an increasingly successful medium for advertising, marketing, and engaging customers. However, many companies underutilize their substantial video assets because they are poorly indexed and cataloged. In this workshop, learn how to use machine learning services to gain more value from video by building a customer celebrity detection feature that can recognize mainstream celebrities and individuals from your own uploaded media files.
AI/ML with Data Lakes: Counterintuitive Consumer Insights in Retail (RET206) ...Amazon Web Services
In this session, learn how data scientists in the retail industry, from companies like Tapestry, Coach, and Kate Spade, are finding new, counterintuitive consumer insights using AWS artificial intelligence services in a data lake. By leveraging data from various retail systems, including CRM, marketing, e-commerce, point of sale, order management, merchandising, and customer care, we show you how these consumer insights might influence new and interesting retail use cases while establishing a data-driven culture within the organization. Services referenced include Amazon S3, Amazon Machine Learning, Amazon QuickSight, Amazon SageMaker, among others.
Database Week at the San Francisco Loft: Adding Search to DynamoDB
Redis is an open source, in-memory data store that delivers sub-millisecond response times enabling millions of requests per second to power real-time applications. It can be used as a fast database, cache, message broker, and queue. Amazon ElastiCache delivers the ease-of-use and power of Redis along with the availability, reliability, scalability, security, and performance suitable for the most demanding applications. We’ll take a close look at Redis and how to use it to power different use cases.
Speaker: Abhinav Singh - DMS/SCT Support Engineer, AWS
Database Week at the San Francisco Loft
Using Search with a Database
Amazon Elasticsearch Service makes it easy to deploy, secure, operate, and scale Elasticsearch for log analytics, full text search, application monitoring, and more. Amazon Elasticsearch Service is a fully managed service that delivers Elasticsearch’s easy-to-use APIs and real-time analytics capabilities alongside the availability, scalability, and security that production workloads require.
Speakers:
Jon Handler - Principal, Solutions Architect, AWS
Eric Tobin - Solutions Architect, AWS
Hosting For Your Startup, Side Project, or Big Dollar App - Minnebar 12Keith Resar
Learn how to effectively plan your hosting, whether on IaaS, PaaS, or something in between. Using three of my apps as example use cases we answer the "build vs. buy" question.
Minnebar 12 presentation.
Sharing our work on optimizing PV energy yield leveraging IIoT, serverless framework, Elasticsearch and numerous open source tools with Los Angeles' Elastic User Group
Create Immersive Experiences Using Amazon Sumerian (ARV204-R1) - AWS re:Inven...Amazon Web Services
Anyone can create and publish augmented reality (AR), virtual reality (VR), and 3D applications quickly and easily with Amazon Sumerian. In this session, learn how to use Sumerian to build a scene that can be published and viewed on laptops, mobile phones, VR headsets, and digital signage. Take a tour of the Sumerian interface, and learn how to build a scene, add assets and hosts, and add behaviors to create dynamically animated objects and characters in an AR/VR experience. Also see how Sumerian integrates into AWS services such as Amazon Polly, Amazon Lex, AWS Lambda, Amazon S3, and Amazon DynamoDB.
AWS Step Functions is a web service that enables you to coordinate the components of distributed applications and microservices using visual workflows.
In this lab you will load data into a MySQL instance running on EC2. Next you will create an Aurora MySQL instance. Finally, you will use DMS to migrate data from one MySQL database to another.
Speakers:
Rajanikanth Bhargava Chilakapati - Solutions Architect, AWS
Somdeb Bhattacharjee - Solutions Architect, AWS
Chris England - Sr. Technical Account Manager, AWS
In the lab you will create a Neptune instance and configure security groups. You will then use Gremlin to run transversals after you load data into Neptune.
Speakers:
Taylor Riggan - Solutions Architect, AWS
Shayon Sanyal - Database Consultant, AWS
Haider Naqvi - Solutions Architect, AWS
Krishna Reddy - Technical Account Manager, AWS
Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...Amazon Web Services
You’ve designed and built a well-architected data lake and ingested extreme amounts of structured and unstructured data. Now what? In this session, we explore real-world use cases where data scientists, developers, and researchers have discovered new and valuable ways to extract business insights using advanced analytics and machine learning. We review Amazon S3, Amazon Glacier, and Amazon EFS, the foundation for the analytics clusters and data engines. We also explore analytics tools and databases, including Amazon Redshift, Amazon Athena, Amazon EMR, Amazon QuickSight, Amazon Kinesis, Amazon RDS, and Amazon Aurora; and we review the AWS machine learning portfolio and AI services such as Amazon SageMaker, AWS Deep Learning AMIs, Amazon Rekognition, and Amazon Lex. We discuss how all of these pieces fit together to build intelligent applications.
AWS Lambda use cases and best practices - Builders Day IsraelAmazon Web Services
AWS Lambda allows you to run you code on a Serverless infrastructure, while AWS takes care of all the heavy lifting of Provisioning and utilization, Availability and fault tolerance, Scaling and Operations and management. In this session, we will take few use cases, from common development scenarios, and show how can we use AWS Lambda to build smarter and better systems.
Build Your Own Log Analytics Solutions on AWS (ANT323-R) - AWS re:Invent 2018Amazon Web Services
With Amazon Elasticsearch Service's simplicity comes a multitude of opportunity to use it as a back end for real-time application and infrastructure monitoring. With this wealth of opportunities comes sprawl - developers in your organization are deploying Amazon Elasticsearch Service for many different workloads and many different purposes. Should you centralize into one Amazon Elasticsearch Service domain? What are the tradeoffs in scale and cost? How do you control access to the data and dashboards? How do you structure your indexes - single tenant or multi-tenant? In this session, we'll explore whether, when, and how to centralize logging across your organization to minimize cost and maximize value and learn how Autodesk has built a unified log analytics solution using Amazon Elasticsearch Service.
Scaling Up to Your First 10 Million Users (ARC205-R1) - AWS re:Invent 2018Amazon Web Services
Cloud computing provides 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 for best practices on scaling your resources from one 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.
Under the Hood: How Amazon Uses AWS Services for Analytics at a Massive Scale...Amazon Web Services
As Amazon's consumer business continues to grow, so does the volume of data and the number and complexity of the analytics done in support of the business. In this session, we talk about how Amazon.com uses AWS technologies to build a scalable environment for data and analytics. We look at how Amazon is evolving the world of data warehousing with a combination of a data lake and parallel, scalable compute engines, such as Amazon EMR and Amazon Redshift.
Not having to worry about servers can save you time and effort. Today with a serverless platform, you can globally distribute your web-application to run on dozens of data centers across the planet, with your customers being served from the one nearest to them. In this session to learn how you can combine forces -- with Drupal as a powerful Headless CMS, AWS Lambda@Edge providing serverless compute functionality, and Amazon CloudFront accelerating content through its global network.
In this presentation, we look at architecture, integration examples, and best practices for some of the most popular use-cases from across different channels such as web, mobile, and social media. Learn more: https://aws.amazon.com/cloudfront/
Come scalare da zero ai tuoi primi 10 milioni di utenti.pdfAmazon Web Services
AWS Summit Milano 2018
Come scalare da zero ai tuoi primi 10 milioni di utenti
Speaker: Giorgio Bonfiglio, AWS Technical Account Manager - Enterprise Support
Which containers orchestration should I deploy?
If you ever asked yourself the above question this session is for you.
The session will focus on Amazon ECS (Including Fargate technology) and Amazon EKS.
The session will discuss common orchestrator use-cases, platform integrations.
The goal of this session is to provide you with the proper insights to make this decision.
The session will include a live demo.
Taking your Progressive Web App to the Next Level - AWS Summit Sydney 2018Amazon Web Services
Taking your Progressive Web App to the Next Level with GraphQL and AWS AppSync
Progressive Web Apps (PWAs) are the future of web development and combine the best of web and native apps. In this session you will learn how to build PWAs on AWS then take your app to the next level with AWS AppSync. We will cover how AWS AppSync allows you to query your data using GraphQL and how it handles mutations, subscriptions, offline access, realtime communications, conflict resolution, and efficient data fetching.
Ed Lima, Associate Solutions Architect, Amazon Web Services
Security oversight requires you to keep tabs on the near-real-time state of resources within your environment and provides challenges such as the management of large data sets from multiple sources. Join us to learn how you can build your own analysis and monitoring platform, providing both visual and audible alerting.
Speaker: Michael Stringer, Solutions Architect, AWS & Sumit Patel, Solutions Architect, AWS
Running Lean Architectures: How to Optimize for Cost Efficiency (ARC202-R2) -...Amazon Web Services
Aimed at solutions architects and technical managers, this session focuses on the practical ways our customers achieve cost-efficient architectures through service selection and configuration. We start by discussing the building block services. We cover the main trends, such as containers and serverless, and we explore some of the specific services and configurations customers have used. We also take you through real-life examples that can be implemented to minimize costs while driving innovation and business output. After you attend this session, you will understand what is possible on AWS, and you will know ways in which you can deploy new workloads or modify existing workloads for optimization.
Day Two Operations of Kubernetes on AWS (GPSTEC309) - AWS re:Invent 2018Amazon Web Services
You've spent the time designing, architecting, setting up, and configuring your Kubernetes cluster. Now, it's on to day two. "Day two" refers to the functions of scaling, optimizing, monitoring, securing, and in general keeping the lights on. In this talk, we discuss the tools that you have available to help you build a reliable and resilient Kubernetes cluster and run workloads in production. We discuss how to control the network, secure your environment using threat detection, scan your containers for vulnerabilities, use monitoring tools, and create scalable containers and clusters.
Building Efficient, Scalable and Resilient Front-end logging service with AWSAWS User Group Bengaluru
The number of internet users is increasing rapidly and so is the number of mobile/web applications. Processing and analyzing user activity is one of the techniques to observe/monitor mobile/web apps. Much of this user activity is captured by the mobile app as a structured log.
The problem we are trying to solve here is building and operating a processing backend that ingests activity data from millions of devices with availability and SLA guarantees.
This talk was presented at AWS Community Day Bengaluru 2019 by Kokilavani Kathiresan, Ravikumar Kota and Shailja Agarwala - Intuit
We'll be walking through our AWS journey wherein we'll start with our humble beginnings and how we had to scale ourselves in order to cater to our current business needs.
This talk was presented at AWS Community Day Bengaluru 2019 by Pranesh Vittal, Database Architect, Medlife.com and Prasanna Desai, Senior Build And Release Engineer, Medlife.com
CFP - AWS Community Day 2019
CFP - AWS Community Day 2019
100%
10
One of the best practices in Cloud solutions is reliability and consistency is using credentials and this session explains on how to Implement this practice using AWS Secrets Manager
Screen reader support enabled.
One of the best practices in Cloud solutions is reliability and consistency is using credentials and this session explains on how to Implement this practice using AWS Secrets Manager
This talk was presented at AWS Community Day Bengaluru 2019 by Vijayanirmala, Devops Solution lead, Sonata software limited
Exploring opportunities with communities for a successful career
This talk was presented at AWS Community Day Bengaluru 2019 by Shwetha Lakshman Rao, Sr. MTS , VMware software India & City Director - Women Who Code Bangalore and Moderated by Bhuvaneswari Subramani, AWS re:Invent Diversity Scholarship Recipient
In the talk I speak about our year long journey of implementing a distributed system that needed to run on scale, and what mistakes we made and how we learnt from them. Talk also touches on a very interesting problem of ordering writes in a distributed environment without any locking. The takeaway for the audience would be around how to approach a problem when they are solving for scale.
This talk was presented at AWS Community Day Bengaluru 2019 by Manik Jindal, Computer Scientist, Adobe
Cloud Security is critical to Data Security and Application Resilience against CyberAttacks. This talk looks at Security Best Practices that need to be practised.
This talk was presented at AWS Community Day Bengaluru 2019 by Amar Prusty, Cloud-Data Center Consultant Architect, DXC Technology
Overview and best practices in using AWS EC2 Spot Instances
Presented by Chakra Nagarajan Specialist Solutions Architect – EC2 Spot at the November 2018 AWSUGBLR Meetup
Deep dive session on Cloud Financial Management Fundamentals and Cost Optimization in AWS.
Presented by Spencer Marley, APAC BD at the November 2018 AWSUGBLR Meetup
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
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.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.