Go for Real Time Streaming Architectures - DotGo 2017Mickaël Rémond
Streaming applications are at the core of realtime information system. With microservices streaming components are becoming increasingly important.
With the rise of cloud architecture, it is now easier and more elegant to use Go to write realtime high-performance components for streaming architecture than to use traditional tools.
Mickaël explains what are streaming architectures and demonstrates the benefits of using Go to build such platform.
In this talk, we will look at how to reduce backend complexity by using a service from AWS called AWS AppSync.
AWS AppSync is a fully managed GraphQL service that hooks into other AWS resources easily.
We will also talk about how to deploy AWS AppSync using the AWS AppSync Serverless Framework Components.
Full video will be hosted on the Serverless Guru Training Site, training.serverlessguru.com.
Automated Apache Kafka Mocking and Testing with AsyncAPI | Hugo Guerrero, Red...HostedbyConfluent
Apache Kafka is getting used as an event backbone in new organizations every day. We would love to send every byte of data through the event bus. Like traditional REST APIs, a contract-first approach is very useful when designing event-driven architectures. In the case of asynchronous APIs, we have the AsyncAPI specification to document the endpoints where the schema of the records become the main part of the contract payload. Microcks allows us to deploy a testing and mocking platform to have a unified view of the endpoints to speed-up application delivery.
In this session we will:
- Go over the evolution of API specifications
- Review the approach for contract-first design with Apache Kafka
- Introduce the AsyncAPI specification
- Take an overview of an implementation example for automated mocking and testing
"Migrating from Cloud to Cloud: AWS to GCP" - Chris Prouty at Shoppertrak - J...AWS Chicago
"Migrating from Cloud to Cloud: AWS to GCP" - Chris Prouty, Director of Technology Operations at Shoppertrak
From the July 11 AWS user group event at Motorola Solutions
Azure Functions allow for event-driven, serverless code execution in multiple languages like C#, Node.js, and Python. Functions can be triggered by events from various Azure services and external sources. They provide automatic scaling based on demand and sub-second billing. Functions make it easy to compose cloud applications from loosely coupled services and integrate with other Azure services like Logic Apps, Storage, SQL Database, and more.
Choose Right Stream Storage: Amazon Kinesis Data Streams vs MSKSungmin Kim
This presentation compares Amazon Kinesis Data Streams to Managed Streaming for Kafka (MSK) in both architectural perspective and operational perspective. In addition, it shows common architectural patterns: (1) Data Hub: Event-Bus, (2) Log Aggregation, (3) IoT, (4) Event sourcing and CQRS.
Serverless szturmem zdobywa rynek - coraz więcej aplikacji korzysta z zalet tego podejścia osiągając bardzo dobre wyniki. Niestety, większość z widocących dostawców infrastruktury FaaS nie wspiera PHP out-of-box. Opowiem o tym czym jest serverless i jak tworząc projekt w PHP skorzystać z oferowanych przez to podejście zalet.
Go for Real Time Streaming Architectures - DotGo 2017Mickaël Rémond
Streaming applications are at the core of realtime information system. With microservices streaming components are becoming increasingly important.
With the rise of cloud architecture, it is now easier and more elegant to use Go to write realtime high-performance components for streaming architecture than to use traditional tools.
Mickaël explains what are streaming architectures and demonstrates the benefits of using Go to build such platform.
In this talk, we will look at how to reduce backend complexity by using a service from AWS called AWS AppSync.
AWS AppSync is a fully managed GraphQL service that hooks into other AWS resources easily.
We will also talk about how to deploy AWS AppSync using the AWS AppSync Serverless Framework Components.
Full video will be hosted on the Serverless Guru Training Site, training.serverlessguru.com.
Automated Apache Kafka Mocking and Testing with AsyncAPI | Hugo Guerrero, Red...HostedbyConfluent
Apache Kafka is getting used as an event backbone in new organizations every day. We would love to send every byte of data through the event bus. Like traditional REST APIs, a contract-first approach is very useful when designing event-driven architectures. In the case of asynchronous APIs, we have the AsyncAPI specification to document the endpoints where the schema of the records become the main part of the contract payload. Microcks allows us to deploy a testing and mocking platform to have a unified view of the endpoints to speed-up application delivery.
In this session we will:
- Go over the evolution of API specifications
- Review the approach for contract-first design with Apache Kafka
- Introduce the AsyncAPI specification
- Take an overview of an implementation example for automated mocking and testing
"Migrating from Cloud to Cloud: AWS to GCP" - Chris Prouty at Shoppertrak - J...AWS Chicago
"Migrating from Cloud to Cloud: AWS to GCP" - Chris Prouty, Director of Technology Operations at Shoppertrak
From the July 11 AWS user group event at Motorola Solutions
Azure Functions allow for event-driven, serverless code execution in multiple languages like C#, Node.js, and Python. Functions can be triggered by events from various Azure services and external sources. They provide automatic scaling based on demand and sub-second billing. Functions make it easy to compose cloud applications from loosely coupled services and integrate with other Azure services like Logic Apps, Storage, SQL Database, and more.
Choose Right Stream Storage: Amazon Kinesis Data Streams vs MSKSungmin Kim
This presentation compares Amazon Kinesis Data Streams to Managed Streaming for Kafka (MSK) in both architectural perspective and operational perspective. In addition, it shows common architectural patterns: (1) Data Hub: Event-Bus, (2) Log Aggregation, (3) IoT, (4) Event sourcing and CQRS.
Serverless szturmem zdobywa rynek - coraz więcej aplikacji korzysta z zalet tego podejścia osiągając bardzo dobre wyniki. Niestety, większość z widocących dostawców infrastruktury FaaS nie wspiera PHP out-of-box. Opowiem o tym czym jest serverless i jak tworząc projekt w PHP skorzystać z oferowanych przez to podejście zalet.
Getting started with Azure Event Hubs and Stream Analytics servicesVladimir Bychkov
The total amount of data in the world almost doubles every 2 years. Storing data for offline processing is no longer a viable business model. In the past few years, new technologies for real-time data processing emerged. Microsoft Azure offers a comprehensive set of tools to ingest and process data in motion. In this presentation we will go over and learn how to collect data from devices, how to process data in real time using Azure Stream Analytic jobs, and how to produce and handle actionable insights.
엔터프라이즈 기업을 위한 Digital 플랫폼 구축 사례 - 권낙주(SK C&C) :: AWS Community Day Online 2020AWSKRUG - AWS한국사용자모임
This document discusses a case study of building a digital platform for enterprise companies in Korea using Amazon Web Services technologies. The platform leverages various AWS services like AWS Lake Formation, Amazon Athena, AWS Glue, Amazon Redshift, Amazon Managed Streaming for Kafka, Amazon Kinesis, Amazon EMR, Amazon CloudSearch, Amazon Elasticsearch Service, and Amazon QuickSight to enable data collection, storage, processing, analytics and visualization. The case study was presented by Nackjoo Kwon, a senior manager at SK C&C.
АРТЕМ КОБРІН «Achieve Networking at Scale with a Self-Service Network Solutio...UA DevOps Conference
Free Online DevOps Conference 2020
АРТЕМ КОБРІН
«Achieve Networking at Scale with a Self-Service Network Solution for AWS»
Сайт: www.devopsconf.org
Ми в
www.facebook.com/godevopsevent
www.t.me/GoDevOpsEvent
www.linkedin.com/showcase/go-devops
Leveraging Data in Motion | Jun Rao, Co-Founder, Confluent | Kafka Summit APA...HostedbyConfluent
This document discusses leveraging data in motion using Apache Kafka, especially in a cloud-first world. It notes that Kafka has become the de facto standard for data in motion and is used by over 100,000 organizations globally, including 60% of Fortune 100 companies. The document introduces Confluent Cloud, which re-engineers Kafka for the cloud, providing a fully-managed platform for data in motion that offers infinite storage, elastic scaling, and other advantages over self-managed Kafka deployments. Confluent Cloud aims to unify data at rest and data in motion by keeping real-time data in cloud-native Kafka for long periods of time.
World's best AWS Cloud Log Analytics & Management ToolCloudlytics
This document introduces Cloudlytics, a service that provides analytics and reporting for Amazon Web Services (AWS) cloud logs. It allows users to analyze logs from CloudFront, S3 storage, Elastic Load Balancing, and more to gain insights into end user behavior and optimize AWS costs. The summaries are drag-and-drop customizable and include visual reports on content consumption patterns, popular content, geographic usage, and cost analysis. Cloudlytics claims to be easier, faster, and more cost-effective than alternatives for AWS log analytics.
This document discusses AWS Lambda and serverless computing. It provides an introduction to AWS Lambda, the benefits of using serverless computing by running code without managing servers, and getting started using Lambda. Example use cases for Lambda include API backends, image compression workflows triggered by S3 uploads, cron jobs managed by CloudWatch events, and data pipelines. The document also covers alternatives to AWS Lambda and provides references for further information.
This document discusses building a serverless data pipeline using AWS Lambda to process data from Kinesis and DynamoDB and deliver it to Firehose and S3. It notes that the entire pipeline can be built with only 16 lines of code and requires zero servers while providing maximum performance and scalability.
This document provides an overview of AWS Lambda, a serverless compute service. It defines what serverless means (cloud provider manages servers rather than the user), describes Lambda's event-driven model and supported runtimes/languages. Use cases are given for image thumbnail generation. Limits include maximum function duration and package size. Pricing is outlined as free tier plus $0.20 per 1 million requests. The presenter provides a demo of Lambda deployment with Terraform.
Logisland is an event mining OpenSource platform based on Kafka/spark to handle huge amount of event, temporal data to find pattern, detect correlation. Useful for log mining in security, fraud detection, IoT, performance & system supervision
Cloudlytics Helps You analyze Amazon Cloud Logs -
- Amazon S3
- Amazon CloudFront
- Amazon ELB
This Presentation Gives a Basic overview of Cloudlytics Features, Pricing Details, Offers to AWS Activate Customers, AWS Marketplace Info & A Sneak Preview of All the Analytics ( The Reports Section will be covered in Detail in our Next Presentation.)
ActiveCampaign API Developer Talks - Motivating Sales with CodeJordan Skole
The document discusses deploying microservices with AWS Lambda, API Gateway, and Serverless by ActiveCampaign to blink an LED on a Particle Photon device when an email is sent. It will use AWS API Gateway to trigger AWS Lambda functions via Serverless. It provides information about AWS Lambda as an event-driven serverless computing platform, Amazon API Gateway for creating and publishing APIs, and the Serverless Framework for building auto-scaling pay-per-execution event-driven functions. It also lists prerequisites for the project including installing serverless and awscli and configuring AWS credentials.
AWS Lambda is Amazon's serverless computing platform that allows you to run code without provisioning or managing servers. Code is run in response to events and AWS automatically manages the computing resources. Key advantages are only paying for the compute time used and not having to manage servers. Lambda supports Node.js, Python, Java, and C# and functions can be triggered by events from services like S3, DynamoDB, and API Gateway. Functions are configured and coded within the Lambda management console. Pricing is based on number of requests and compute time used, with the first million requests and 400,000 GB-seconds of compute time being free each month.
AWS Community Day Bangkok 2019 - Building & Deploying AWS Lambda with Serverl...AWS User Group - Thailand
This document discusses deploying AWS Lambda functions using the Serverless Application Model (SAM). SAM allows defining serverless applications in a template file that specifies functions, events that trigger them, and permissions. It also covers packaging and deploying Lambda functions with SAM, managing credentials, continuous delivery options like CodePipeline, and safe deployment techniques like canary deployments.
AWS Community Day Bangkok 2019 - Build a Serverless Web Application in 30 minsAWS User Group - Thailand
This document provides instructions for building a serverless web application on AWS in 30 minutes. It includes an overview of the AWS services that will be used - S3 for static hosting, API Gateway, Lambda, DynamoDB, and CloudFront. The agenda outlines setting up S3, CloudFront, DynamoDB, Lambda, and API Gateway. Code samples and screenshots are provided to demonstrate configuring the services and integrating them to build a serverless web app that retrieves and displays data from DynamoDB through API Gateway and Lambda.
Azure Functions VS AWS Lambda: overview and comparisonAlex Zyl
The document compares serverless computing platforms Azure Functions and AWS Lambda. It provides an overview of key concepts like functions, triggers, bindings and event models. It also outlines some example use cases for functions. The document analyzes the architecture and infrastructure of Azure Functions and AWS Lambda and compares features between the two platforms. It concludes by listing relevant documentation and SDK repositories for further reference.
Batchly is completely built on Amazon Web Services architecture and provides direct support and integration with S3, SQS, RDS and Lambda services. We are also working on building Docker (https://www.docker.com/) support to enable multi cloud environment support and did we mention about in-built support for AWS SPOT instances that can bring down processing costs by as much as 90%!
AWS: Serverless Architecture - Beyond functions and into the future Dynatrace
Join two experts from Microsoft and AWS in IoT and serverless technology for a session on the big trends and issues leading this burgeoning area of tech innovation. With the IoT industry set to triple in the next few years, it would be remiss not to have a special session dedicated to the topic. We guarantee you'll learn something new.
AWS Community Day - Piyali Kamra - Conversational AI Ecosystem on AWSAWS Chicago
Piyali Kamra - Conversational AI Ecosystem on AWS
Learn tools, tech, and approaches to build scalable production grade conversational AI systems in a cloud native way. Stitching together Chatbots, AI, Natural language processing, ML models, and SageMaker.
AWS Community Day
aws community day | midwest 2019
Introduction to AWS Amplify and the Amplify CLI ToolchainAWS Germany
AWS Amplify has released a brand new CLI Toolchain that makes it easy to create & configure AWS cloud services on the fly directly from your local environment.
This CLI complements the AWS Amplify Library to provide an end to end solution for the creation, configuration, & implementation of scalable cloud-enabled applications with a Rails-like experience focusing on developer efficiency. AWS Amplify supports not only JavaScript applications & frameworks like Angular, React, & React Native, but also native iOS & native Android.
Présentation de Michael Lopez et Stephane Martarello de CrossKnowledge lors du meetup des développeurs mobile de la Cote d'Azur sur le thème de Dimensionnement d'images avec AWS Lambda: Comment mettre en place une solution serverless simple et peu couteuse basée sur Amazon API Gateway et Lambda pour dimensionner automatiquement les images uploadées sur votre application (exemple : Vignettes de profile)
Rejoignez nous pour notre prochain meetup: https://www.meetup.com/preview/Developpement-Mobile-Android-iOS-Cote-d-Azur
Serverless Architectural Patterns & Best PracticesDaniel Zivkovic
This ServerlessTO meetup covered various Serverless design patterns and best practices for building apps using the full #AWS #Serverless stack - not just Lambda. Event recording (including 25min long Q&A!) is at https://youtu.be/gsILTMXPUeU
The AWS re:Invent 2016 conference saw over 32,000 attendees and featured over 400 breakout sessions across specialized tracks. There were also over 4 hours of keynotes announcing 15 or more completely new AWS services as well as enhancements to many existing services. Some of the major new services included Amazon Polly for text-to-speech, Amazon Lex for building conversational interfaces, Amazon Rekognition for image analysis, and Amazon Athena for interactive SQL queries on S3 data. A wide range of other services were also announced or improved.
Getting started with Azure Event Hubs and Stream Analytics servicesVladimir Bychkov
The total amount of data in the world almost doubles every 2 years. Storing data for offline processing is no longer a viable business model. In the past few years, new technologies for real-time data processing emerged. Microsoft Azure offers a comprehensive set of tools to ingest and process data in motion. In this presentation we will go over and learn how to collect data from devices, how to process data in real time using Azure Stream Analytic jobs, and how to produce and handle actionable insights.
엔터프라이즈 기업을 위한 Digital 플랫폼 구축 사례 - 권낙주(SK C&C) :: AWS Community Day Online 2020AWSKRUG - AWS한국사용자모임
This document discusses a case study of building a digital platform for enterprise companies in Korea using Amazon Web Services technologies. The platform leverages various AWS services like AWS Lake Formation, Amazon Athena, AWS Glue, Amazon Redshift, Amazon Managed Streaming for Kafka, Amazon Kinesis, Amazon EMR, Amazon CloudSearch, Amazon Elasticsearch Service, and Amazon QuickSight to enable data collection, storage, processing, analytics and visualization. The case study was presented by Nackjoo Kwon, a senior manager at SK C&C.
АРТЕМ КОБРІН «Achieve Networking at Scale with a Self-Service Network Solutio...UA DevOps Conference
Free Online DevOps Conference 2020
АРТЕМ КОБРІН
«Achieve Networking at Scale with a Self-Service Network Solution for AWS»
Сайт: www.devopsconf.org
Ми в
www.facebook.com/godevopsevent
www.t.me/GoDevOpsEvent
www.linkedin.com/showcase/go-devops
Leveraging Data in Motion | Jun Rao, Co-Founder, Confluent | Kafka Summit APA...HostedbyConfluent
This document discusses leveraging data in motion using Apache Kafka, especially in a cloud-first world. It notes that Kafka has become the de facto standard for data in motion and is used by over 100,000 organizations globally, including 60% of Fortune 100 companies. The document introduces Confluent Cloud, which re-engineers Kafka for the cloud, providing a fully-managed platform for data in motion that offers infinite storage, elastic scaling, and other advantages over self-managed Kafka deployments. Confluent Cloud aims to unify data at rest and data in motion by keeping real-time data in cloud-native Kafka for long periods of time.
World's best AWS Cloud Log Analytics & Management ToolCloudlytics
This document introduces Cloudlytics, a service that provides analytics and reporting for Amazon Web Services (AWS) cloud logs. It allows users to analyze logs from CloudFront, S3 storage, Elastic Load Balancing, and more to gain insights into end user behavior and optimize AWS costs. The summaries are drag-and-drop customizable and include visual reports on content consumption patterns, popular content, geographic usage, and cost analysis. Cloudlytics claims to be easier, faster, and more cost-effective than alternatives for AWS log analytics.
This document discusses AWS Lambda and serverless computing. It provides an introduction to AWS Lambda, the benefits of using serverless computing by running code without managing servers, and getting started using Lambda. Example use cases for Lambda include API backends, image compression workflows triggered by S3 uploads, cron jobs managed by CloudWatch events, and data pipelines. The document also covers alternatives to AWS Lambda and provides references for further information.
This document discusses building a serverless data pipeline using AWS Lambda to process data from Kinesis and DynamoDB and deliver it to Firehose and S3. It notes that the entire pipeline can be built with only 16 lines of code and requires zero servers while providing maximum performance and scalability.
This document provides an overview of AWS Lambda, a serverless compute service. It defines what serverless means (cloud provider manages servers rather than the user), describes Lambda's event-driven model and supported runtimes/languages. Use cases are given for image thumbnail generation. Limits include maximum function duration and package size. Pricing is outlined as free tier plus $0.20 per 1 million requests. The presenter provides a demo of Lambda deployment with Terraform.
Logisland is an event mining OpenSource platform based on Kafka/spark to handle huge amount of event, temporal data to find pattern, detect correlation. Useful for log mining in security, fraud detection, IoT, performance & system supervision
Cloudlytics Helps You analyze Amazon Cloud Logs -
- Amazon S3
- Amazon CloudFront
- Amazon ELB
This Presentation Gives a Basic overview of Cloudlytics Features, Pricing Details, Offers to AWS Activate Customers, AWS Marketplace Info & A Sneak Preview of All the Analytics ( The Reports Section will be covered in Detail in our Next Presentation.)
ActiveCampaign API Developer Talks - Motivating Sales with CodeJordan Skole
The document discusses deploying microservices with AWS Lambda, API Gateway, and Serverless by ActiveCampaign to blink an LED on a Particle Photon device when an email is sent. It will use AWS API Gateway to trigger AWS Lambda functions via Serverless. It provides information about AWS Lambda as an event-driven serverless computing platform, Amazon API Gateway for creating and publishing APIs, and the Serverless Framework for building auto-scaling pay-per-execution event-driven functions. It also lists prerequisites for the project including installing serverless and awscli and configuring AWS credentials.
AWS Lambda is Amazon's serverless computing platform that allows you to run code without provisioning or managing servers. Code is run in response to events and AWS automatically manages the computing resources. Key advantages are only paying for the compute time used and not having to manage servers. Lambda supports Node.js, Python, Java, and C# and functions can be triggered by events from services like S3, DynamoDB, and API Gateway. Functions are configured and coded within the Lambda management console. Pricing is based on number of requests and compute time used, with the first million requests and 400,000 GB-seconds of compute time being free each month.
AWS Community Day Bangkok 2019 - Building & Deploying AWS Lambda with Serverl...AWS User Group - Thailand
This document discusses deploying AWS Lambda functions using the Serverless Application Model (SAM). SAM allows defining serverless applications in a template file that specifies functions, events that trigger them, and permissions. It also covers packaging and deploying Lambda functions with SAM, managing credentials, continuous delivery options like CodePipeline, and safe deployment techniques like canary deployments.
AWS Community Day Bangkok 2019 - Build a Serverless Web Application in 30 minsAWS User Group - Thailand
This document provides instructions for building a serverless web application on AWS in 30 minutes. It includes an overview of the AWS services that will be used - S3 for static hosting, API Gateway, Lambda, DynamoDB, and CloudFront. The agenda outlines setting up S3, CloudFront, DynamoDB, Lambda, and API Gateway. Code samples and screenshots are provided to demonstrate configuring the services and integrating them to build a serverless web app that retrieves and displays data from DynamoDB through API Gateway and Lambda.
Azure Functions VS AWS Lambda: overview and comparisonAlex Zyl
The document compares serverless computing platforms Azure Functions and AWS Lambda. It provides an overview of key concepts like functions, triggers, bindings and event models. It also outlines some example use cases for functions. The document analyzes the architecture and infrastructure of Azure Functions and AWS Lambda and compares features between the two platforms. It concludes by listing relevant documentation and SDK repositories for further reference.
Batchly is completely built on Amazon Web Services architecture and provides direct support and integration with S3, SQS, RDS and Lambda services. We are also working on building Docker (https://www.docker.com/) support to enable multi cloud environment support and did we mention about in-built support for AWS SPOT instances that can bring down processing costs by as much as 90%!
AWS: Serverless Architecture - Beyond functions and into the future Dynatrace
Join two experts from Microsoft and AWS in IoT and serverless technology for a session on the big trends and issues leading this burgeoning area of tech innovation. With the IoT industry set to triple in the next few years, it would be remiss not to have a special session dedicated to the topic. We guarantee you'll learn something new.
AWS Community Day - Piyali Kamra - Conversational AI Ecosystem on AWSAWS Chicago
Piyali Kamra - Conversational AI Ecosystem on AWS
Learn tools, tech, and approaches to build scalable production grade conversational AI systems in a cloud native way. Stitching together Chatbots, AI, Natural language processing, ML models, and SageMaker.
AWS Community Day
aws community day | midwest 2019
Introduction to AWS Amplify and the Amplify CLI ToolchainAWS Germany
AWS Amplify has released a brand new CLI Toolchain that makes it easy to create & configure AWS cloud services on the fly directly from your local environment.
This CLI complements the AWS Amplify Library to provide an end to end solution for the creation, configuration, & implementation of scalable cloud-enabled applications with a Rails-like experience focusing on developer efficiency. AWS Amplify supports not only JavaScript applications & frameworks like Angular, React, & React Native, but also native iOS & native Android.
Présentation de Michael Lopez et Stephane Martarello de CrossKnowledge lors du meetup des développeurs mobile de la Cote d'Azur sur le thème de Dimensionnement d'images avec AWS Lambda: Comment mettre en place une solution serverless simple et peu couteuse basée sur Amazon API Gateway et Lambda pour dimensionner automatiquement les images uploadées sur votre application (exemple : Vignettes de profile)
Rejoignez nous pour notre prochain meetup: https://www.meetup.com/preview/Developpement-Mobile-Android-iOS-Cote-d-Azur
Serverless Architectural Patterns & Best PracticesDaniel Zivkovic
This ServerlessTO meetup covered various Serverless design patterns and best practices for building apps using the full #AWS #Serverless stack - not just Lambda. Event recording (including 25min long Q&A!) is at https://youtu.be/gsILTMXPUeU
The AWS re:Invent 2016 conference saw over 32,000 attendees and featured over 400 breakout sessions across specialized tracks. There were also over 4 hours of keynotes announcing 15 or more completely new AWS services as well as enhancements to many existing services. Some of the major new services included Amazon Polly for text-to-speech, Amazon Lex for building conversational interfaces, Amazon Rekognition for image analysis, and Amazon Athena for interactive SQL queries on S3 data. A wide range of other services were also announced or improved.
Ever wished you had a list of cheat codes to unleash the full power of AWS Lambda for your production workload? Come learn how to build a robust, scalable, and highly available serverless application using AWS Lambda. In this session, we discuss hacks and tricks for maximizing your AWS Lambda performance, such as leveraging customer reuse, using the 500 MB scratch space and local cache, creating custom metrics for managing operations, aligning upstream and downstream services to scale along with Lambda, and many other workarounds and optimizations across your entire function lifecycle.
You also learn how Hearst converted its real-time clickstream analytics data pipeline from a server-based model to a serverless one. The infrastructure of the data pipeline relied on Amazon EC2 instances and cron jobs to shepherd data through the process. In 2016, Hearst converted its data pipeline architecture to a serverless process that relies on event triggers and the power of AWS Lambda. By moving from a time-based process to a trigger-based process, Hearst improved its pipeline latency times by 50%.
This document discusses best practices for building serverless applications using AWS Lambda. It covers topics such as using Lambda functions without servers to manage, paying only for compute resources used, leveraging services like API Gateway and Step Functions for orchestration, optimizing performance through techniques like smart resource allocation and reducing cold starts, and developing efficient Lambda function code.
Build and run applications without thinking about serversAmazon Web Services
Organizations need to gain insight and knowledge from a growing number of Internet of Things (IoT) APIs clickstreams comprised of unstructured and log data sources. However, organizations are often limited by legacy data warehouses and ETL processes that were designed for transactional data. In this session, we’ll introduce the key ETL features of AWS Glue through use cases ranging from scheduled nightly data warehouse loads to near real-time, event-driven ETL flows for your data lake. We’ll also discuss how to build scalable, efficient and serverless ETL pipelines using AWS Glue.
AWS re:Invent 2016: Building Complex Serverless Applications (GPST404)Amazon Web Services
Provisioning, scaling, and managing physical or virtual servers—and the applications that run on them—has long been a core activity for developers and system administrators. The expanding array of managed AWS cloud services, including AWS Lambda, Amazon DynamoDB, Amazon API Gateway and more, increasingly allows organizations to focus on delivering business value without worrying about managing the underlying infrastructure or paying for idle servers and other fixed costs of cloud services. In this session, we discuss the design, development, and operation of these next-generation solutions on AWS. Whether you're developing end-user web applications or back-end data processing systems, join us in this session to learn more about building your applications without servers.
The AWS Lambda is now available in Singapore and we are excited to invite you to participate in a webinar to learn more about the service and ask questions live throughout the webinar and receive responses during the Q&A session. In this one hour session, you will get to understand key AWS Lambda features, learn the AWS Lambda programming model and get tips on getting the most out of AWS Lambda.
AWS Lambda is a new compute service that runs your code in response to events and automatically manages compute resources for you. In this webinar you’ll learn what you need to quickly begin building mobile, tablet, or IoT applications that use AWS Lambda as a serverless back-end. You’ll also hear about Amazon Web Service’s Event-Driven Compute strategy and see demonstrations that use Lambda to respond to events from Amazon S3 notifications and Amazon DynamoDB streams.
GOTO Stockholm - AWS Lambda - Logic in the cloud without a back-endIan Massingham
Slides from my session at Goto Stockholm where I talked about AWS Lambda and how it can be used to build reliable, scalable & low-cost applications, without servers for you to manage.
Special thanks to James Hall at Parallax for allowing me to talk about the awesome application that they built using AWS Lambda, Amazon API Gateway & Amazon DynanmoDB :)
Speaker: Raphael Londner, Developer Advocate, MongoDB
Speaker: Paul Sears, Partner Solutions Architect, Amazon Web Services
Level: 200 (Intermediate)
Track: Atlas
In this session, AWS Solutions Architect Paul Sears will provide an overview of AWS Lambda functions, including some key integration use cases with MongoDB Atlas. Developer Advocate Raphael Londner will walk you through how to code a Lambda function connected to MongoDB Atlas, with a specific focus on performance optimization. Raphael will then demonstrate how to orchestrate multiple Lambda functions inside a state machine built on top of AWS Step Functions.
What You Will Learn:
- Common use cases for which MongoDB Atlas + AWS Lambda help you boost developer productivity and minimize operational costs.
- How to write a performance-optimized Lambda function that re-uses MongoDB Atlas database connections across multiple calls in order to speed up queries.
- How AWS Step Functions can help you easily build application workflows to coordinate your Lambda functions.
[OPD 2019] Automated Defense with Serverless computingOWASP
This document discusses serverless computing and how it can be used for automated defense. It defines serverless computing as a cloud execution model where the cloud provider manages resources dynamically based on the amount used by an application. Serverless platforms allow event-driven code without servers through Function as a Service (FaaS) and Backend as a Service (BaaS). Popular serverless platforms are provided by AWS Lambda, Google Cloud Functions, Microsoft Azure Functions, and others. Serverless applications have event sources, code functions, and downstream resources. The document provides examples of using serverless for automated defense through integrating AWS services like CloudTrail, Inspector, and blocking IP addresses.
Building Serverless Applications with Amazon DynamoDB & AWS Lambda - Workshop...Amazon Web Services
Join us for this first-ever advanced design and best practices workshop, designed to demonstrate the breadth of AWS serverless offerings and how the components work together. In this interactive workshop, we review the evolution of an e-commerce company that starts with a low-effort serverless product catalog, scales to a million daily users, and then adds analytics and near real-time monitoring. As we progress through the workshop, we dive deeply into AWS serverless services, such as Amazon DynamoDB, AWS Lambda, and Amazon Kinesis. We also use Amazon S3, Amazon API Gateway, Amazon Cognito, and other services that enable you to optimize costs and improve performance. Basic knowledge of DynamoDB, Lambda, and Kinesis is required. Bring your laptop and power supply to this session.
by Kashif Imran, Sr. Solutions Architect, AWS
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
Getting Started with AWS Lambda & Serverless Computing - Kashif Imran.pdfAmazon Web Services
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
AWS18 Startup Day Toronto- The Best Practices and Hard Lessons Learned of Ser...Amazon Web Services
In November 2014, AWS Lambda introduced developers to serverless compute with automatic scaling, pay-per-request billing, and built-in high availability. As a result, startups and enterprises are changing the way they build their applications. Since then, we've learned a lot from our customers about what it takes to build successful serverless applications. We’ve also seen some common and not so common missteps that developers building serverless applications have made along the way. Today, we're going to share some of those learnings, and show you how you can build the best serverless application that you can.
Data analytics master class: predict hotel revenueKris Peeters
We predict future revenues in hotels by solving the data science puzzle end-to-end: from infrastructure in the cloud and security, to data ingestion, data cleaning, feature building and model training and model scoring.
The video of this talk is here: https://www.facebook.com/datamindedbe/posts/1385820021562117
Building Real-Time Serverless Data Applications With Joseph Morais and Adam W...HostedbyConfluent
Building Real-Time Serverless Data Applications With Joseph Morais and Adam Wagner | Current 2022
Enterprises that are trying to accelerate development times for their digital native applications are defaulting to serverless architectures. And for good reasons too. With self-serve provisioning, elastic scaling, lower TCO, and industry standard security features, it makes it easy for developers to spend more time building and less time managing.
Join this session to see first hand how developers are pairing Confluent's cloud native, serverless Apache Kafka offering with AWS's serverless services to build data apps and platform that scale.
How to build and deploy serverless apps - AWS Summit Cape Town 2018Amazon Web Services
This document provides an overview of serverless computing on AWS and how to build and deploy serverless applications. It discusses what serverless computing is, common use cases, serverless patterns using AWS Lambda and Amazon API Gateway, examples of what customers are building, and how to do safe deployments of serverless apps using the AWS Serverless Application Model and AWS CodeDeploy.
This document summarizes a presentation given at the AWS London Summit in July 2016 about getting started with AWS Lambda and serverless computing. It discusses what serverless computing is and how it differs from virtual machines and containers. It also outlines some common use cases for AWS Lambda like data processing, backend services, and gluing systems together. The presentation covers topics like how to choose between Lambda, EC2, and ECS, recent updates to Lambda, best practices for using Lambda with VPC, and a customer case study from Parallax about building serverless applications.
Similar to Functional programming-in-the-cloud (20)
The document discusses cloud-native JavaScript applications and projects like Cumulus and Pangeo. It provides a case study of DigitalGlobe's satellite imagery pipeline that ingests 80 TB of data per day and stores 100 PB of data. It also discusses topics like microservices architecture, stability, security, affordability, and devops practices for cloud applications.
In recent years, cheap drones and satellites have made it easier to monitor the earth. This data is used as the image layers of mapping websites for many scientific missions. This talk will explore how cloud-native, pure-Javascript apps can assemble and browse large quantities of map data using the JAMstack and Gatsby.
This document discusses Apache Zeppelin, an open-source notebook application that allows for data exploration and visualization. It can run Python, Scala/Spark, and bash code. The document then describes using Zeppelin to build a machine learning model for identifying household objects from images using MXNet and datasets stored on AWS S3. It discusses the infrastructure, ETL process, decisions around model type (classification vs object detection), and lessons learned around validation and explainability.
This talk demonstrates how to use word2vec models in a Postgres database to facilitate semantic search of job posts. Attendees will learn to structure models for usage in a relational database.
Abstract:
Many machine learning algorithms can be implemented to run parallel operations on graphics cards. Deeplearning4j is a Java-based machine learning library, which includes implementations of many popular neural-network algorithms. Deeplearning4j uses uses a library called Nd4j to run matrix algebra operations on either CPUs or GPUs with NVIDIA’s CUDA API.
In this talk, I will show how to get a simple machine learning algorithm running on the GPU. I will also cover how to get started with CUDA development: how to get your code to run on the GPU, how to monitor the device, and how to write code to make effective use of parralelization.
Bio: Gary Sieling is a Lead Software Engineer at IQVIA, in Blue Bell, PA, with an interests in database technologies, machine learning, and software engineering practices. He has been involved in curating talks for a company lunch and learn program and the organizing committee for a tech conference. Building on these experiences, he built a search engine called FindLectures.com to help find great talks and speakers.
PHASE (Philly Area Scala Enthusiasts) - Word2vec in Scala. Talk explains concrete examples of how Word2vec works, built around a demo of constructing email alerts using concept search.
Lucene/Solr Revolution 2017: Indexing Videos in SolrGary Sieling
FindLectures.com is a discovery engine for tech talks, historic speeches, and academic lectures. The site rates audio and video content for quality, showing different recommended talks each day on a variety of topics.
FindLectures.com crawls conference sites to get talk metadata, such as speaker names and bios, descriptions, and the date a video was recorded. Often these attributes are sparsely populated, or available across multiple websites. Additional attributes are inferred from audio and video content, but require more sophisticated data extraction to be useful in a full-text search engine.
This talk will discuss interesting lessons learned from crawling historical videos and demonstrate information extraction with machine learning.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...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 integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
10. @garysieling
FUNCTIONAL PROGRAMMINGFUNCTIONAL PROGRAMMING
A paradigm that treats computation as
the evaluation of mathematical
functions and avoids changing state
and mutable data. The output of a
function depends only on the
arguments passed to a function, so
calling a function twice with the same
arguments produces the same result
each time...
25. @garysieling
A SOFTWARE ARCHITECT CAN PLANA SOFTWARE ARCHITECT CAN PLAN
USING FUTURE COSTSUSING FUTURE COSTS
Now: Story points (time + risk)
Future: Operational cost (NPV / cost shape)
26. @garysieling
POWER DYNAMICS WITH THE PROVIDERPOWER DYNAMICS WITH THE PROVIDER
Many cloud services are "free" - e.g. ECS
Reserved instances
In vs. out of network