Man nehme ein bisschen BaaS (Backend as a Service), dazu noch ein wenig FaaS (Function as a Service) und fertig ist die Serverless Cloud Application. Was sich in der Theorie so einfach anhört, bringt in der Praxis die eine oder andere Herausforderung mit sich. Die versprochenen Benefits, wie Time-to-Market, Auto-Scaling, automatisches Failover oder Kostenreduzierung via „Pay per Use“ gibt es leider nicht umsonst. Eine passende Architektur muss her. Im Rahmen des Workshops werden wir uns verschiedene Anwendungsszenarien anschauen und für passende Architekturansätze für diese entwerfen. Wir werden dabei natürlich auch dem einen oder anderen Stolperstein begegnen. Aber das kann uns nicht aufhalten.
Kaum haben wir uns von dem klassischen Monolithen und der zugehörigen Ablaufumgebung namens Application Server, zugunsten von Microservices und Embedded Runtimes, verabschiedet, taucht am Horizont mit Serverless Applications bzw. Architectures schon die nächste Evolutionsstufe auf. Was bitte ist das jetzt schon wieder? Und wer braucht so etwas? Die Session zeigt, wie sich dank BaaS, FaaS und einiger anderer Akronyme, Mobile und Enterprise Anwendungen implementieren lassen ganz ohne Server! Ganz ohne? Naja, fast.
Writing serverless functions is quite easy. And also combining some of them to build up a more complex system is not too complicated at all.
But what happens if these tiny functions are not working as expected? How to trace and monitor each function by itself and the system as a whole? Is there any change to debug? And what about testing? Do we always have to deploy to the cloud or are there any local solutions to emulate the productive environment? And by the way, how can we automate all of this?
Lots of questions are waiting to be answered.
Required audience experience
basic knoweldge of serverless computing
Objective of the talk
The audience will learn how to handle and “survive” serverless scenarios in real life. During the session I will demonstrate with the help of a demo application (aws lambda based) how to test, trace, monitor and debug servlerless functions.
Even if a Serverless Function is small by design, testing it business logic and integration with other cloud components is kind of hard. Good to have a "Survival Guide".
Kaum haben wir uns von dem klassischen Monolithen und der zugehörigen Ablaufumgebung namens Application Server, zugunsten von Microservices und Embedded Runtimes, verabschiedet, taucht am Horizont mit Serverless Applications bzw. Architectures schon die nächste Evolutionsstufe auf. Was bitte ist das jetzt schon wieder? Und wer braucht so etwas? Die Session zeigt, wie sich dank BaaS, FaaS und einiger anderer Akronyme, Mobile und Enterpriese Anwendungen implementieren lassen - ganz ohne Server! Ganz ohne? Naja, fast.
Chatbots are the new apps. Businesses of all sizes, from startups to enterprises, are looking for new ways to connect with their users through natural, conversational interfaces. Developers have started using chatbots to improve the productivity and efficiency of their operations. In this session, we show how to use AWS Lambda and other serverless offerings from AWS to build chatbots quickly and efficiently. We share examples from our recently concluded AWS Slack Hackathon with a full walkthrough of building a conversational chatbot in an easy, fast, and fun way, along with helpful tools, tips, and techniques.
Eric Gales provides valuable insight about Amazon Web Services in Canada and discusses the importance of DevOps at the Canadian Executive Cloud & DevOps Summit in Toronto on June 9, 2017.
Since AWS launched Lambda in 2014, the term “serverless” has been used (and misused) to describe compute models, technologies, architectural patterns, operational constructs, and even rebranded cgi-bins. The term is now used so broadly that it’s turning into a buzzword with no discernible meaning.
In this talk, we’ll cut through all the marketing hype, and discuss why the underlying concept of “serverless”, and the superpowers that come with it, are much more important than the name itself.
Microservices und JASON Web Token – Im Rahmen unseres Softwarepicknicks auf der JAX 2017 in Mainz ist Lars Röwekamp darauf eingegangen, warum sich diese Kombination sinnvoll ist. Die Slides zum Kurzvortrag haben wir hier hochgeladen.
Kaum haben wir uns von dem klassischen Monolithen und der zugehörigen Ablaufumgebung namens Application Server, zugunsten von Microservices und Embedded Runtimes, verabschiedet, taucht am Horizont mit Serverless Applications bzw. Architectures schon die nächste Evolutionsstufe auf. Was bitte ist das jetzt schon wieder? Und wer braucht so etwas? Die Session zeigt, wie sich dank BaaS, FaaS und einiger anderer Akronyme, Mobile und Enterprise Anwendungen implementieren lassen ganz ohne Server! Ganz ohne? Naja, fast.
Writing serverless functions is quite easy. And also combining some of them to build up a more complex system is not too complicated at all.
But what happens if these tiny functions are not working as expected? How to trace and monitor each function by itself and the system as a whole? Is there any change to debug? And what about testing? Do we always have to deploy to the cloud or are there any local solutions to emulate the productive environment? And by the way, how can we automate all of this?
Lots of questions are waiting to be answered.
Required audience experience
basic knoweldge of serverless computing
Objective of the talk
The audience will learn how to handle and “survive” serverless scenarios in real life. During the session I will demonstrate with the help of a demo application (aws lambda based) how to test, trace, monitor and debug servlerless functions.
Even if a Serverless Function is small by design, testing it business logic and integration with other cloud components is kind of hard. Good to have a "Survival Guide".
Kaum haben wir uns von dem klassischen Monolithen und der zugehörigen Ablaufumgebung namens Application Server, zugunsten von Microservices und Embedded Runtimes, verabschiedet, taucht am Horizont mit Serverless Applications bzw. Architectures schon die nächste Evolutionsstufe auf. Was bitte ist das jetzt schon wieder? Und wer braucht so etwas? Die Session zeigt, wie sich dank BaaS, FaaS und einiger anderer Akronyme, Mobile und Enterpriese Anwendungen implementieren lassen - ganz ohne Server! Ganz ohne? Naja, fast.
Chatbots are the new apps. Businesses of all sizes, from startups to enterprises, are looking for new ways to connect with their users through natural, conversational interfaces. Developers have started using chatbots to improve the productivity and efficiency of their operations. In this session, we show how to use AWS Lambda and other serverless offerings from AWS to build chatbots quickly and efficiently. We share examples from our recently concluded AWS Slack Hackathon with a full walkthrough of building a conversational chatbot in an easy, fast, and fun way, along with helpful tools, tips, and techniques.
Eric Gales provides valuable insight about Amazon Web Services in Canada and discusses the importance of DevOps at the Canadian Executive Cloud & DevOps Summit in Toronto on June 9, 2017.
Since AWS launched Lambda in 2014, the term “serverless” has been used (and misused) to describe compute models, technologies, architectural patterns, operational constructs, and even rebranded cgi-bins. The term is now used so broadly that it’s turning into a buzzword with no discernible meaning.
In this talk, we’ll cut through all the marketing hype, and discuss why the underlying concept of “serverless”, and the superpowers that come with it, are much more important than the name itself.
Microservices und JASON Web Token – Im Rahmen unseres Softwarepicknicks auf der JAX 2017 in Mainz ist Lars Röwekamp darauf eingegangen, warum sich diese Kombination sinnvoll ist. Die Slides zum Kurzvortrag haben wir hier hochgeladen.
Mobile app development can be complex and time-consuming. AWS provides a range of services and tools to help you create industry leading, cloud-enabled mobile apps that can securely scale to millions of users globally.
We'll walk through the AWS Mobile Hub toolkit which will help you build, develop and test compelling cloud-enabled mobile apps and for engaging your app users. You’ll learn how to use these offerings (serverless – API Gateway/Lambda, Cognito, and new services) to make it easy to develop both your iOS and Android frontend, as well as your mobile backend.
Speaker: Navdeep Manaktala,
Head Mobility Solutions, Amazon India
Amazon Web Services proporciona una amplia gama de servicios que le ayudarán a crear e implementar aplicaciones de análisis de big data de forma rápida y sencilla. AWS ofrece un acceso rápido a recursos de TI económicos y flexibles, algo que permitirá escalar prácticamente cualquier aplicación de big data con rapidez, incluidos almacenamiento de datos, análisis de clics, detección de elementos fraudulentos, motores de recomendación, proceso ETL impulsado por eventos, informática sin servidor y procesamiento del Internet de las cosas.
With services like AWS Lambda, Amazon DynamoDB and Amazon API Gateway, you can build and run applications and services without having to manage infrastructure. By leveraging these fully managed AWS services, organizations can increase developer productivity while continuously scaling to meet their demand.
Services: AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon Cognito User Pools.
Presenters: Oren Reuveni & Oren Katz
Dari situs web yang sederhana hingga mobile applications, dari IoT sampai chatbots, AWS memiliki berbagai layanan yang dapat digunakan dengan mudah untuk mengimplementasikan ide Anda menjadi kenyataan. Mari bergabung dengan kami dalam diskusi ini untuk mendapatkan pemahaman yang lebih mendalam mengenai layanan AWS yang dapat membantu untuk memulai bisnis Anda. Dalam diskusi ini, kami akan menghadirkan customer journey yang umum, dimulai dari penggunaan computing resources dan auto-scaling, hingga modernisasi aplikasi Anda dengan layanan serverless, AI/ML dan big data analytics.
Mobile App Development with Amazon Web Services Mobile HubAmazon Web Services
In this session, we will discuss how to automatically provision and configure the necessary Amazon Web Services services to build a cloud-enabled mobile application in a matter of minutes. We look at the tools available to measure and track users' actions in your app against key metrics and trends such as new vs. returning users, app revenue, user retention, and custom in-app behavior events. We will also show you how to leverage this data to bring them back to your app by sending customised automatic push notifications, SMS, and emails.
Speaker: Ed Lima, Cloud Support Engineer, Amazon Web Services
How to use lambda ? How lambda costs our functions ? How to write a lambda function in Node.js ? Sample lambda function in Node.js.
My name is Muhammet Arslan, and software engineer at Sony. Every wednesday we are meeting up a subject in Sony to tech our teams about anything from It to Kung-Fu, and more . This weekend, me, explained a lot of thing about Aws Lambda.
More : http://muhammetarslan.com.tr
From the Amazon Web Services Singapore Summit 2015 Track 1 Breakout, 'Grow Your SMB Infrastructure on the AWS Cloud' Presented by Mark Statham
Senior Solutions Architect, ASEAN, Amazon Web Services and Head of Solutions Architect, ASEAN, Amazon Web Services
Engage your users with Amazon SNS Mobile Push (Now with Broadcast) - Jinesh V...Amazon Web Services
Amazon Simple Notification Service (Amazon SNS) is a fast, flexible, fully managed push messaging service. Amazon SNS makes it simple and cost-effective to push notifications to Apple, Google, Fire OS, and Windows devices, as well as Android devices in China with Baidu Cloud Push. You can also use SNS to push notifications to internet connected smart devices, as well as other distributed services.
Modernize Meetings with Amazon Chime - April 2017 AWS Online Tech Talks & Wor...Amazon Web Services
• Understand what you can do with Amazon Chime
• Understand how you can save money with Amazon Chime
• Learn how to get started with Amazon Chime
Amazon Chime is a modern business communications service that offers frustration-free online meetings and video conference with exceptional video and audio quality. Amazon Chime works seamlessly across your devices so that you can stay connected and work productively from anywhere. You can use Amazon Chime for online meetings, video conferencing, calls, chat, and to share content, both inside and outside your organization.
In this tech talk, we'll introduce you to Amazon Chime, and show you how you can use Amazon Chime to help make your meetings more efficient and productive.
AWS September Webinar Series - Build Cross-Platform Mobile Apps with AWS and...Amazon Web Services
Learn how to build great cross-platform apps by simply connecting your Xamarin-built apps to AWS for identity management through Amazon Cognito, cloud storage via Amazon S3, a fully-managed NoSQL database with Amazon DynamoDB, mobile push notifications with SNS, and app analytics through Amazon Mobile Analytics.
Learning Objectives:
How to add AWS as the backend for your Xamarin apps
Who Should Attend:
Developers
QCon New York 2014 - Scalable, Reliable Analytics Infrastructure at KIXEYERandy Shoup
As a maker of real-time strategy games for web and mobile, KIXEYE's business depends on deep insights into how players play our games. By analyzing player behavior in a rich and flexible way, we are able to better target our efforts around user acquisition, game balance, player retention, and game monetization. By storing and analyzing data in standard ways, our data scientists are better able to take learnings from one game and apply them to another.
This presentation describes KIXEYE's newly-minted modern analytics infrastructure soup-to-nuts, from Kafka queues through Hadoop 2 to Hive and Redshift. It outlines our efforts around queryability, extensibility, scalability, standardization, and stability and outage recovery. It further shares our lessons learned in building, testing, operating, and enhancing this mission-critical piece of our infrastructure.
Dari situs web yang sederhana hingga mobile applications, dari IoT sampai chatbots, AWS memiliki berbagai layanan yang dapat digunakan dengan mudah untuk mengimplementasikan ide Anda menjadi kenyataan. Mari bergabung dengan kami dalam diskusi ini untuk mendapatkan pemahaman yang lebih mendalam mengenai layanan AWS yang dapat membantu untuk memulai bisnis Anda. Dalam diskusi ini, kami akan menghadirkan customer journey yang umum, dimulai dari penggunaan computing resources dan auto-scaling, hingga modernisasi aplikasi Anda dengan layanan serverless, AI/ML dan big data analytics.
MLB Advanced Media: Delivering a Digital Experience to 25 Million Fans with N...Amazon Web Services
When it comes to streaming live video across the web for millions of users, the stakes are high. Major League Baseball Advanced Media (MLBAM) is the dedicated streaming platform for MLB as well as other high-profile clients such as HBO Now. Since user experience is a critical aspect of their offering, MLBAM embraced a DevOps approach to application development and deployment, leading them to Amazon Web Services and New Relic. Join us for our upcoming webinar where speakers from New Relic, AWS, and MLBAM will explain how MLBAM uses the scalability of AWS and the visibility provided by New Relic to produce the “gold standard” for digital streaming video infrastructure.
In this session, we will discuss the top 10 mobile apps architectures and how you can leverage the new cross-platform AWS Mobile Services to build a highly scalable and reliable mobile app, powered by the AWS Cloud.
We will explore core functionality like authentication and authorization of users, data synchronization, backend infrastructure without the need to manage servers, understanding your user behavior, engaging your users and bringing your users back to your app. No matter if you are building the next great social app, or a front-office enterprise mobile app, this session will discuss best practices and reference architectures for building reliable and scalable mobile apps.
Speaker:
Tara Walker, AWS Technical Evangelist
Did you use to give your servers cool or funny names? And did they all have their own personality? We're no longer waiting for these kinds of 'pets', are we?
What's the difference between PaaS and Serverless? In this session we will show what Serverless solutions can and cannot do, using services from Azure like App Service, Logic Apps and Azure Functions. We'll try to entertain you and hope to give you some knowledge and inspiration for your developer toolbox.
Slide deck for the session "Dude, Where's my Server?" held at the Betabit Rotterdam office on September 20th 2017.
Making sense of microservices, service mesh, and serverlessChristian Posta
As companies move to become digital, we can get sidetracked and distracted by some of the changes in the technology landscape. Ideally we will be harnessing technology to solve the problems we have and leverage it to deliver software faster and safer. In this talk, I'll we'll take a look at some new technology trends in the open-source communities and when and how to use them.
Mobile app development can be complex and time-consuming. AWS provides a range of services and tools to help you create industry leading, cloud-enabled mobile apps that can securely scale to millions of users globally.
We'll walk through the AWS Mobile Hub toolkit which will help you build, develop and test compelling cloud-enabled mobile apps and for engaging your app users. You’ll learn how to use these offerings (serverless – API Gateway/Lambda, Cognito, and new services) to make it easy to develop both your iOS and Android frontend, as well as your mobile backend.
Speaker: Navdeep Manaktala,
Head Mobility Solutions, Amazon India
Amazon Web Services proporciona una amplia gama de servicios que le ayudarán a crear e implementar aplicaciones de análisis de big data de forma rápida y sencilla. AWS ofrece un acceso rápido a recursos de TI económicos y flexibles, algo que permitirá escalar prácticamente cualquier aplicación de big data con rapidez, incluidos almacenamiento de datos, análisis de clics, detección de elementos fraudulentos, motores de recomendación, proceso ETL impulsado por eventos, informática sin servidor y procesamiento del Internet de las cosas.
With services like AWS Lambda, Amazon DynamoDB and Amazon API Gateway, you can build and run applications and services without having to manage infrastructure. By leveraging these fully managed AWS services, organizations can increase developer productivity while continuously scaling to meet their demand.
Services: AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon Cognito User Pools.
Presenters: Oren Reuveni & Oren Katz
Dari situs web yang sederhana hingga mobile applications, dari IoT sampai chatbots, AWS memiliki berbagai layanan yang dapat digunakan dengan mudah untuk mengimplementasikan ide Anda menjadi kenyataan. Mari bergabung dengan kami dalam diskusi ini untuk mendapatkan pemahaman yang lebih mendalam mengenai layanan AWS yang dapat membantu untuk memulai bisnis Anda. Dalam diskusi ini, kami akan menghadirkan customer journey yang umum, dimulai dari penggunaan computing resources dan auto-scaling, hingga modernisasi aplikasi Anda dengan layanan serverless, AI/ML dan big data analytics.
Mobile App Development with Amazon Web Services Mobile HubAmazon Web Services
In this session, we will discuss how to automatically provision and configure the necessary Amazon Web Services services to build a cloud-enabled mobile application in a matter of minutes. We look at the tools available to measure and track users' actions in your app against key metrics and trends such as new vs. returning users, app revenue, user retention, and custom in-app behavior events. We will also show you how to leverage this data to bring them back to your app by sending customised automatic push notifications, SMS, and emails.
Speaker: Ed Lima, Cloud Support Engineer, Amazon Web Services
How to use lambda ? How lambda costs our functions ? How to write a lambda function in Node.js ? Sample lambda function in Node.js.
My name is Muhammet Arslan, and software engineer at Sony. Every wednesday we are meeting up a subject in Sony to tech our teams about anything from It to Kung-Fu, and more . This weekend, me, explained a lot of thing about Aws Lambda.
More : http://muhammetarslan.com.tr
From the Amazon Web Services Singapore Summit 2015 Track 1 Breakout, 'Grow Your SMB Infrastructure on the AWS Cloud' Presented by Mark Statham
Senior Solutions Architect, ASEAN, Amazon Web Services and Head of Solutions Architect, ASEAN, Amazon Web Services
Engage your users with Amazon SNS Mobile Push (Now with Broadcast) - Jinesh V...Amazon Web Services
Amazon Simple Notification Service (Amazon SNS) is a fast, flexible, fully managed push messaging service. Amazon SNS makes it simple and cost-effective to push notifications to Apple, Google, Fire OS, and Windows devices, as well as Android devices in China with Baidu Cloud Push. You can also use SNS to push notifications to internet connected smart devices, as well as other distributed services.
Modernize Meetings with Amazon Chime - April 2017 AWS Online Tech Talks & Wor...Amazon Web Services
• Understand what you can do with Amazon Chime
• Understand how you can save money with Amazon Chime
• Learn how to get started with Amazon Chime
Amazon Chime is a modern business communications service that offers frustration-free online meetings and video conference with exceptional video and audio quality. Amazon Chime works seamlessly across your devices so that you can stay connected and work productively from anywhere. You can use Amazon Chime for online meetings, video conferencing, calls, chat, and to share content, both inside and outside your organization.
In this tech talk, we'll introduce you to Amazon Chime, and show you how you can use Amazon Chime to help make your meetings more efficient and productive.
AWS September Webinar Series - Build Cross-Platform Mobile Apps with AWS and...Amazon Web Services
Learn how to build great cross-platform apps by simply connecting your Xamarin-built apps to AWS for identity management through Amazon Cognito, cloud storage via Amazon S3, a fully-managed NoSQL database with Amazon DynamoDB, mobile push notifications with SNS, and app analytics through Amazon Mobile Analytics.
Learning Objectives:
How to add AWS as the backend for your Xamarin apps
Who Should Attend:
Developers
QCon New York 2014 - Scalable, Reliable Analytics Infrastructure at KIXEYERandy Shoup
As a maker of real-time strategy games for web and mobile, KIXEYE's business depends on deep insights into how players play our games. By analyzing player behavior in a rich and flexible way, we are able to better target our efforts around user acquisition, game balance, player retention, and game monetization. By storing and analyzing data in standard ways, our data scientists are better able to take learnings from one game and apply them to another.
This presentation describes KIXEYE's newly-minted modern analytics infrastructure soup-to-nuts, from Kafka queues through Hadoop 2 to Hive and Redshift. It outlines our efforts around queryability, extensibility, scalability, standardization, and stability and outage recovery. It further shares our lessons learned in building, testing, operating, and enhancing this mission-critical piece of our infrastructure.
Dari situs web yang sederhana hingga mobile applications, dari IoT sampai chatbots, AWS memiliki berbagai layanan yang dapat digunakan dengan mudah untuk mengimplementasikan ide Anda menjadi kenyataan. Mari bergabung dengan kami dalam diskusi ini untuk mendapatkan pemahaman yang lebih mendalam mengenai layanan AWS yang dapat membantu untuk memulai bisnis Anda. Dalam diskusi ini, kami akan menghadirkan customer journey yang umum, dimulai dari penggunaan computing resources dan auto-scaling, hingga modernisasi aplikasi Anda dengan layanan serverless, AI/ML dan big data analytics.
MLB Advanced Media: Delivering a Digital Experience to 25 Million Fans with N...Amazon Web Services
When it comes to streaming live video across the web for millions of users, the stakes are high. Major League Baseball Advanced Media (MLBAM) is the dedicated streaming platform for MLB as well as other high-profile clients such as HBO Now. Since user experience is a critical aspect of their offering, MLBAM embraced a DevOps approach to application development and deployment, leading them to Amazon Web Services and New Relic. Join us for our upcoming webinar where speakers from New Relic, AWS, and MLBAM will explain how MLBAM uses the scalability of AWS and the visibility provided by New Relic to produce the “gold standard” for digital streaming video infrastructure.
In this session, we will discuss the top 10 mobile apps architectures and how you can leverage the new cross-platform AWS Mobile Services to build a highly scalable and reliable mobile app, powered by the AWS Cloud.
We will explore core functionality like authentication and authorization of users, data synchronization, backend infrastructure without the need to manage servers, understanding your user behavior, engaging your users and bringing your users back to your app. No matter if you are building the next great social app, or a front-office enterprise mobile app, this session will discuss best practices and reference architectures for building reliable and scalable mobile apps.
Speaker:
Tara Walker, AWS Technical Evangelist
Did you use to give your servers cool or funny names? And did they all have their own personality? We're no longer waiting for these kinds of 'pets', are we?
What's the difference between PaaS and Serverless? In this session we will show what Serverless solutions can and cannot do, using services from Azure like App Service, Logic Apps and Azure Functions. We'll try to entertain you and hope to give you some knowledge and inspiration for your developer toolbox.
Slide deck for the session "Dude, Where's my Server?" held at the Betabit Rotterdam office on September 20th 2017.
Making sense of microservices, service mesh, and serverlessChristian Posta
As companies move to become digital, we can get sidetracked and distracted by some of the changes in the technology landscape. Ideally we will be harnessing technology to solve the problems we have and leverage it to deliver software faster and safer. In this talk, I'll we'll take a look at some new technology trends in the open-source communities and when and how to use them.
Monoliths, Myths, and Microservices - CfgMgmtCampMichael Ducy
Moving from a monolithic based architecture to a more microservices architecture can be fraught with challenges. We'll talk about some of these challenges and some common myths associated with trying to strangle the Monolith. We'll also talk about config management and automation's critical role in helping you move to a microservices architecture, and how our monolithic approach to automation changes in the new world.
Von „less Server" zu Serverless: eine Reise durch die CloudOPEN KNOWLEDGE GmbH
Was genau ist Serverless und was sind sinnvolle Anwendungsszenarien für Serverless Applications?
In welchem Zusammenhang stehen dabei die Akronyme IaaS, PaaS, Baas und FaaS?
Wir sprechen über „Stolperfallen“ und „Wie man’s richtig macht“.
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few.
Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO.
Agenda included:
- Pizza and Networking
- Joe Caserta, President, Caserta Concepts - Why are we here?
- Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration
- Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing
- James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service
- Q&A, Networking
For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/
DAS Slides: Data Architect vs. Data Engineer vs. Data ModelerDATAVERSITY
The increasing focus on data in today’s organization has increased demand for critical roles such as data architect, data engineer, and data modeler. But there is often confusion and ambiguity around what these roles entail, and what overlap exists between them. This webinar will discuss these data-centric roles and their place in the data-driven organization.
Best of re:Invent 2016 meetup presentationLahav Savir
At re:Invent 2016, AWS announced major and exciting services which finalized their product pipeline providing customers with a comprehensive end-to-end solution in all product realms including Data and BI, CI/ CD, Serverless Applications, Security and Mobile. Join us and find out what’s coming next and learn how to utilize the complete AWS platform.
DevOps Cardiff - Monitoring Automation for DevOpsOutlyer
Our Co-Founder Steven Acreman presented at DevOps Cardiff on our view on monitoring and why Self-Service is critical for DevOps & Micro-Services, and did a demo of Dataloop.IO. Here are the slides
11 Ways Microservices & Dynamic Clouds Break Your MonitoringAbner Germanow
Every software team has its moments of truth. How does this impact the way agile developers, site reliability engineers, and IT operations teams work together? We'll break down the intricacies of modern monitoring and show you what to look for, particularly when monitoring microservices and dynamic clouds. With examples from New Relic customers, you'll learn what to look out for when preparing to conquer your digital moments of truth, master microservices, using cloud services for autoscaling, and getting your teams to work together. I also added a quick bit on quickly evaluating the security of a cloud service provider before you engage your infosec team.
Running solutions in Amazon Web Services can help you get your applications up and running faster. By harnessing the power of the Amazon Web Services platform services you no longer have to focus on the underlying infrastructure, but instead you can focus on your application and business logic. This session will enable you to learn about the rich array of Amazon Web Services platform services available, find out how other customers are leveraging platform services and identify which services are relevant to your business. This session also includes a demonstration of Amazon Web Services for compute, database and deployment which you can use to accelerate your cloud adoption journey.
Mark Statham, Senior Cloud Architect - Professional Services, Amazon Web Services, ASEAN
Azure for AWS & GCP Pros: Which Azure services to use?Daniel Zivkovic
Learn how to choose which #Azure services to use so that you can start "Jumping Clouds" with confidence :) Watch the recording at https://youtu.be/34U1hUJmCUc and for more forward-looking #Software #Developerment topics, join http://ServerlessToronto.org User Group
LINKS FROM THE MEETUP & CHAT
https://www.askyourdeveloper.com/
http://youtube.serverlesstoronto.org
https://youtu.be/Ivcndg9pTpk?t=1390
https://www.meetup.com/Serverless-Toronto/events/276721419/
https://www.meetup.com/Serverless-Toronto/events/275256767/
https://www.meetup.com/Serverless-Toronto/events/276752609/
https://developerweeklypodcast.com/
https://channel9.msdn.com/Shows/Azure-Friday
https://www.pluralsight.com/paths/microsoft-azure-compute-for-developers
https://azureoverview.com/
https://build5nines.com/
https://azure.microsoft.com/en-us/updates/
https://azure.microsoft.com/en-us/blog/
https://docs.microsoft.com/en-us/azure/architecture/
https://www.mssqltips.com/sqlservertip/5144/sql-server-temporal-tables-vs-change-data-capture-vs-change-tracking--part-3/
https://azure.microsoft.com/en-us/pricing/details/synapse-analytics/
https://www.manning.com/books/azure-data-engineering
https://www.manning.com/books/azure-storage-streaming-and-batch-analytics
https://docs.microsoft.com/en-us/azure/azure-functions/durable/durable-functions-overview?tabs=csharp
https://cloudevents.io/
https://docs.microsoft.com/en-us/azure/architecture/patterns/
https://www.linkedin.com/pulse/you-asking-your-team-design-perfect-solution-daniel-zivkovic/
https://youtu.be/GBTdnfD6s5Q
https://www.linkedin.com/company/serverless-toronto/
Microservices - Death of the Enterprise Service Bus (ESB)? (Update 2016)Kai Wähner
Microservices are the next step after SOA: Services implement a limited set of functions. Services are developed, deployed and scaled independently.
Continuous Integration and Continuous Delivery control deployments. This way you get shorter time to results and increased flexibility. Microservices have to be independent regarding build, deployment, data management and business domains. A solid Microservices design requires single responsibility, loose coupling and a decentralized architecture. A Microservice can to be closed or open to partners and public via APIs. This session discusses the requirements, best practices and challenges for creating a good Microservices architecture, and if this spells the end of the Enterprise Service Bus (ESB). A live demo will show how middleware and Microservices complement each other using containers, continuous integration, REST services, and open source frameworks such as Cloud Foundry.
A live demo showed a "Microservices Middleware Architecture" using Cloud Integration (with Cloud Foundry PaaS), Integration and Services (with TIBCO BusinessWorks Container Edition), API Management / Open API (with Mashery) amd Log Management / IT Operations Analytics (ITOA, with Papertrail and LogLogic / Unity).
In this session, hear how Cambia Health Solutions, a not-for-profit total health solutions company, created a self-service data model to convert a large-scale, on-premises batch processing model to a cloud-based, real-time pub-sub and RESTful API model. Learn how Cambia leveraged AWS services like Amazon Aurora, AWS Database Migration Service (AWS DMS), AWS Lambda, and AWS messaging services to create an architecture that provides a reasonable runway for legacy customers to convert from old mode to new mode and, at the same time, offer a fast track for onboarding new customers.
Healthcare Payers and Serverless Batch Processing Engines - HLC308 - re:Inven...Amazon Web Services
In this session, hear how Cambia Health Solutions, a not-for-profit total health solutions company, created a self-service data model to convert a large-scale, on-premises batch processing model to a cloud-based, real-time pub-sub and RESTful API model. Learn how Cambia leveraged AWS services like Amazon Aurora, AWS Database Migration Service (AWS DMS), AWS Lambda, and AWS messaging services to create an architecture that provides a reasonable runway for legacy customers to convert from old mode to new mode and, at the same time, offer a fast track for onboarding new customers.
Similar to Serverless Architectures: Ein Survival Guide (20)
Warum der Computer "Nein" sagt - Mehr Nachvollziehbarkeit dank Explainable AIOPEN KNOWLEDGE GmbH
Häufig stellt die Entwicklung einer ML-Lösung die Optimierung von Performanz-Metriken wie der "Accuracy" unter Verwendung sehr komplexer Modelle in den Fokus. Fälschlicherweise wird sich damit abgefunden, dass aufgrund der höheren Komplexität die Explainability, also die Frage nach dem "Warum verhält sich mein Modell so und nicht anders?" leiden muss. Die Folgen können schwerwiegend sein und reichen vom unwissentlich gelernten Bias aus tabellarischen Daten bis zu einer hohen Anfälligkeit gegenüber Adversarial-Attacks in Bilddaten des autonomen Fahrens.
Warum meiner Meinung nach die Explainability auch bei komplexen Modellen nicht leiden muss, möchte ich in diesem Vortrag verdeutlichen.
Hierfür werde ich verschiedene XAI-Methoden, wie z.B. die Permutation-Importance und LIME, anhand eines konkreten Anwendungsfalles vorstellen, bewerten und vergleichen. Mein Ziel ist es, für XAI zu sensibilisieren und euch einen Methoden-Kasten an die Hand zu geben, der dazu befähigt, den Blick in die Black-Box zu wagen.
Machine Learning? Ja gerne! Aber was und wie? Eine Kurzanleitung für den erfo...OPEN KNOWLEDGE GmbH
Künstliche Intelligenz ist auf dem Vormarsch, ohne Zweifel. Egal ob Qualitätssicherung in der Produktion, Retourenmanagement im Online-Handel oder Customer-Support via Chatbot - KI eröffnet bisher noch nicht dagewesene Möglichkeiten, die eigenen Prozesse und Geschäftsmodelle deutlich zu verbessern. Vorausgesetzt man verfügt über gute Ideen und hinreichend viele und qualifizierte Daten. Aber wie genau kommt man zu diesen Ideen? Und wie lässt sich KI in die eigene Software-Architektur integrieren? Wer befindet über das richtige Modell und den richtigen Algorithmus? Und wie wird über die hinreichende Quantität / Qualität von Daten entschieden? Die Session veranschaulicht die verschiedenen Herausforderungen, die sich durch das Einbinden von KI für die eigene Softwareentwicklung ergeben können, und zeigt dafür passende, pragmatische Lösungsansätze auf.
From Zero to still Zero: Die schönsten Fehler auf dem Weg in die CloudOPEN KNOWLEDGE GmbH
Cloud is the new normal”, so Andrew R. Jassy (CIO AWS). Was also liegt näher, als genau jetzt den Schritt in die Cloud zu wagen? Denn schließlich wollen wir ja alle irgendwie ein klein wenig „normal“ sein. Aber ist dieser Schritt wirklich so einfach, wie uns die verschiedenen Cloudanbieter glauben machen? Lässt sich eine klassische Enterprise-Architektur einfach so in die Cloud überführen oder bedarf es neuer, cloudspezifischer Architekturmuster? Was unterscheidet dabei die verschiedenen As-a-Service-Varianten (IaaS, PaaS, BaaS und FaaS) voneinander und für welchen Anwendungsfall nimmt man was? Fragen über Fragen – aber keine Panik, der Talk liefert Antworten.
SPAGAT ZWISCHEN BIAS UND FAIRNESS
KI soll fair sein. Da sind wir uns alle einig. Entsprechend gilt es, eine „Voreingenommenheit“ der eigenen KI-Lösung zu vermeiden.
Leichter gesagt als getan, denn Bias kann sich an verschiedenen Stellen innerhalb des AI/ML-Lifecycles einschleichen – vom initialen Design bis hin zum produktiven Einsatz des Modells. Diese Stellen gilt es zu identifizieren und im Detail zu verstehen. Denn nicht jede Art von Voreingenommenheit ist automatisch auch böse bzw. unfair.
Die Session zeigt, wie potenzielles Auftreten von unerwünschtem Bias in der eigenen KI-Lösung aufgedeckt und vermieden werden kann.
FEHLENDE DATEN? (K)EIN PROBLEM!: Die Kunst der Data ImputationOPEN KNOWLEDGE GmbH
Leider sind die in der Praxis zur Verfügung stehenden Daten für das Training von Modellen bei weitem nicht so gut und vollständig, wie in den Lehrbüchern. Was also tun? Unvollständige Datensätze ignorieren und damit die zum Training notwendigen Daten deutlich reduzieren? Oder die Lücken besser mit sinnvollen Näherungswerten auffüllen.
Die Session zeigt, ob und wann es sinnvoll ist, fehlende Datensätze aufzufüllen und demonstriert an Real-Life Szenarien verschiedene Verfahren zur sinnvollen Ergänzung fehlender Daten. Neben einfachen Verfahren wie Mean/Median, Random Sample, Mulitple Imputation oder der Interpolationen zeitbezogenen Werte werden auch ML-basierte Imputation-Verfahren wie Regression oder Classification sowie deren potenzielle Einsatzgebiete beleuchtet. Dass fehlende Datensätze im Training auch einen positiven Effekt auf die Qualität des resultierenden Modells haben können, wird ebenfalls gezeigt.
In der Vergangenheit mussten Log-Files von Produktiv-Systemen mühsam von Hand zusammengesucht und danach durchforstet werden. Mit dem Aufkommen von Microservices gibt es jedoch immer mehr Tools, die die Aggregation und das Durchsuchen von Log-Informationen automatisieren. Den Anfang hat der ELK-Stack gemacht. Verteilte Systeme liefern jedoch heutzutage viel mehr relevante und besser aufbereitete Informationen als in den Log-Files zu finden sind. In einigen Situationen sind die in den Log-Files gefundenen Informationen unzureichend oder müssen mühsam extrahiert werden. Aus diesem Grund ist es naheliegend, die benötigten Informationen direkt in einem geeigneten Format bereitzustellen. Heutige Standards wie OpenTelemetry ermöglichen es, Informationen in dem benötigten Format zu sammeln. Werden Log-Files dadurch überflüssig? Die Session regt einen Mindset-Change an, stellt die Herausforderungen vor, die mit den verschiedenen Toolings bewältigt werden können, und erklärt, unter welchen Voraussetzungen auf Logging komplett verzichtet werden kann.
Auch nach mehr als 20 Jahren ist Jakarta EE (ehemals Java EE) DER Standard, wenn es um die Entwicklung Java-basierter Enterprise-Computing-Lösungen geht. Das gilt zumindest immer dann, wenn die Anwendung als Monolith in einem Application-Server deployt werden soll. Wie aber steht es mit einer Anwendung, die aus einer Vielzahl autark laufender Microservices besteht? Und wie gut schlägt sich Jakarta EE in der Cloud, in der geringer Speicherbedarf und schnelle Startzeiten gefragt sind? Die Session zeigt, wie es Jakarta EE geschafft hat, mit der Zeit zu gehen und so mit Hilfe von Nebenprojekten wie Eclipse MicroProfile den Anforderungen moderner Cloud-Native-Anwendungen gerecht zu werden. Ein Ausblick das Zusammenspiel mit GraalVM und Quarkus zeigt, das Jakarta EE dabei auch in extrem verteilten Cloud-Szenarien, aka Serverless, eine gute Figur macht.
From Zero to still Zero: The most beautiful mistakes going into the cloud. OPEN KNOWLEDGE GmbH
"Cloud is the new Normal”, so Andrew R. Jassy (CIO AWS). Was also liegt näher, als genau jetzt den Schritt in die Cloud zu wagen? Passende Blaupausen dazu gibt es mehr als genug. Aber ist dieser Schritt wirklich so einfach, wie uns die verschiedenen Cloud-Anbieter glauben machen wollen? Natürlich nicht. Diese Session zeigt anhand typischer Antipattern, wie der Weg in die Cloud garantiert im Desaster endet und wie man sich dagegen wappnen kann. Ähnlichkeiten zu existierenden Projekten sind rein zufällig – oder auch nicht.
API Expand Contract ist ein Pattern zur Weiterentwicklung von APIs. Aber was verbirgt sich hinter der Idee? Wie kann ich damit eine API weiterentwickeln, ohne dass Client und/oder Server im Wartungsaufwand alter Schnittstellen(-Versionen) ersticken?
In der Realität erweist sich Management von APIs und deren Versionen als gar nicht so einfach. Diese Session zeigt mögliche Wege und Alternativen, um der Versionierungshölle zu entkommen und dabei das oberste Gebot beim API-Design - nämlich „Don’t break the Client“ - jederzeit einzuhalten.
Ready for the Future: Jakarta EE in Zeiten von Cloud Native & CoOPEN KNOWLEDGE GmbH
Auch nach mehr als 20 Jahren ist Jakarta EE (ehemals Java EE) DER Standard, wenn es um die Entwicklung Java-basierte Enterprise Computing Lösungen geht. Dies gilt zumindest immer dann, wenn die Anwendung als Monolithen in einem Application Server deployed werden soll. Wie aber steht es mit einer Anwendung, die aus einer Vielzahl autark laufender Microservices besteht? Und wie gut schlägt sich Jakarta EE in der Cloud, in der geringer Speicherbedarf und schnelle Startzeiten gefragt sind? Die Session zeigt, wie es Jakarta EE geschafft hat, mit der Zeit zu gehen und so, mit Hilfe von Side-Projekten wie dem Eclipse MicroProfile, den Anforderungen moderner Cloud Native Anwendungen gerecht zu werden.
Ein Ausblick das Zusammenspiel mit GraalVM und Quarkus zeigt, das Jakarta EE dabei auch in extrem verteilten Cloud-Szenarien aka Serverless, eine gute Figur macht.
Eine auf Microservices basierende Architektur umzusetzen, bedeutet, dass auch die Datenhaltung auf die verschiedenen Services verteilt werden muss. Was aber bedeutet das in der Praxis? Was ist, wenn Daten einer Entität - vollständig oder in Teilen - in mehreren Services benötigt werden? Wie wird referenzielle Integrität über mehrere Services hinweg realisiert? Wie lassen sich serviceübergreifende Transaktionen realisieren? Dies sind nur einige von vielen Fragen, die im Rahmen der Session beantwortet werden. So viel vorab: Umdenken ist gefragt!
Nur wenn die Auftrennung der Fachlichkeit in verschiedenen Microservices auch konsequent bis hin zur Ebene der Datenhaltung vollzogen wird, kann die angestrebte Unabhängigkeit der Services zur Entwicklungs- und Laufzeit erreicht werden. Ohne diesen Schritt dagegen würde sich das Problem der starren Kopplung und der damit einhergehenden Abhängigkeiten einer monolithischen Architektur lediglich um eine Schicht nach unten, in die Datenbank, verlagern. Was aber bedeutet das konsequente Einhalten des Database-per-Service-Patterns und einer damit einhergehenden Verteilung der Datenhaltung in der Praxis? Die Session zeigt die wesentlichen Herausforderungen auf und liefert passende Lösungsansätze.
Machine Learning ist eine Art von Software-Entwicklung, bei der man nicht direkt Code schreibt, sondern ein Modell anhand von Daten trainiert. Das kann in Situationen von Vorteil sein, in denen man keinen passenden Code schreiben kann oder dieser extrem komplex werden würde. TensorFlow ist das bekannteste Framework im Bereich Neuronaler Netzwerke mit dem man solche Modell erzeugen und nutzen kann. TensorFlow.js (https://js.tensorflow.org/api/latest/) implementiert die volle API von TensorFlow mit JavaScript und erlaubt sowohl die Ausführung, als auch das Training von Neuronalen Netzwerken auf jeder GPU.
Im ersten Teil des Workshops werden wir ein Modell zur Bilderkennung in einer grafischen Webanwendung trainieren und in einer eigenen Anwendung zum Laufen bringen. Hier geht es um die Grundlagen von Machine Learning und den Teil der TensorFlow.js API zum Ausführen eines Modells.
Im zweiten Teil werden wir ein eigenes Modell mit der TensorFlow.js API trainieren und als Teil einer JS-Anwendung integrieren.
Es sind keine Vorkenntnisse nötig und zur Teilnahme wird lediglich eine beliebige IDE zur Entwicklung von JavaScript benötigt.
Künstliche Intelligenz ist auf dem Vormarsch, ohne Zweifel. Egal ob Qualitätssicherung in der Produktion, Retourenmanagement im Online-Handel oder Customer-Support via Chatbot: KI eröffnet bisher noch nicht dagewesene Möglichkeiten, die eigenen Prozesse und Geschäftsmodelle deutlich zu verbessern - vorausgesetzt man verfügt über hinreichend viele und qualifizierte Daten.
Aber wie lässt sich KI in die eigene Software-Architektur integrieren? Wer befindet über das richtige Modell und den richtigen Algorithmus? Und wie wird über die hinreichende Quantität / Qualität von Daten entschieden? Die Rolle des KI-Architekten scheint geboren.
Die Session veranschaulicht die verschiedenen Herausforderungen, die sich durch das Einbinden von KI für die eigene Software-Entwicklung ergeben können und zeigt dafür passende, pragmatische Lösungsansätze auf.
KI und insbesondere Deep Learning sind der Megatrend. Dank leistungsstarker Frameworks sind erste Schritte schnell gemacht. Leider stößt man aber genauso schnell auch wieder an (seine) Grenzen. Passt das genutzte Modell überhaupt zu meinem Problem? Wie sind die gewonnenen Ergebnisse zu bewerten? Kann durch geschickte Veränderung von Modell-Parametern das Ergebnis weiter verbessert werden? In der Session werden wir unser eigenes Neuronales Netz von Grund auf aufbauen und Schritt für Schritt verbessern. Aber keine Angst: „it’s not rocket science“!
Eine auf Microservices basierende Architektur umzusetzen, bedeutet, dass auch die Datenhaltung auf die verschiedenen Services verteilt werden muss. Was aber bedeutet das in der Praxis? Was ist, wenn Daten einer Entität - vollständig oder in Teilen - in mehreren Services benötigt werden? Wie wird referenzielle Integrität über mehrere Services hinweg realisiert? Wie lassen sich serviceübergreifende Transaktionen realisieren? Dies sind nur einige von vielen Fragen, die im Rahmen der Session beantwortet werden. So viel vorab: Umdenken ist gefragt!
Versteht man seine Anwendung als Kombination (fast) unabhängiger Services, so ergeben sich nicht nur für Entwicklung und Deployment neue Perspektiven.
Denn nicht nur die eigenen Services können internen oder externen Dritten zur Verfügung gestellt werden, sondern auch der umgekehrte Weg ist denkbar.
Eine entsprechend flexible Architektur vorausgesetzt, lässt sich die eigene Fachlichkeit durch 3rd Party Services sinnvoll und gewinnbringend ergänzen, ohne dabei das Rad neu erfinden zu müssen.
Besonders interessant scheint hier das Feld der künstlichen Intelligenz zu sein. Egal ob automatische Texerkennung, Retourenvorhersagen, Qualitätsicherung in der Produktion oder die Vorhersage von Terminen zur Maschinenwartung; die Möglichkeiten scheinen nahezu unbegrenzt.
Die Session zeigt, welche Möglichkeiten heute bereits Out-of-the-Box AI Services bieten und für welche Aufgaben man doch besser einen ML Experten mit ins Boot holen sollte.
Jeder Service für sich kann unabhängig deployed und skaliert werden.
Gerade Cloud Computing erleichtert in vielen Unternehmen die Verwaltung der IT-Infrastruktur. Weil die für die Software benötigte Plattformen so einfach anzumieten sind, werden Developer deshalb immer mehr in die Rolle des DevOps gedrängt -- die Software, die sie entwickeln, soll auch selbst betrieben werden -- You build it, you run it.
Doch diese Strukturierung ist nicht ganz kostenlos - Developer müssen dadurch immer mehr Verantwortung übernehmen. Um dieser Verantwortung gerecht zu werden, muss eine Schwachstelle ausgeschaltet werden: der Mensch. Im Talk gehe ich auf Prozesse der klassischen Softwareentwicklung ein und lege dar, wie diese in dem “You build it, you run it”-Modell verbessert werden.
In modernen Software-Landschaften werden die Fachlichkeiten mit Hilfe von DDD sauber voneinander abgegrenzt und als eigenständige Services umgesetzt.
Was muss in der Entwicklung eines solchen Services beachtet werden, um diese Eigenständigkeit zu gewährleisten und gleichzeitig sicherzustellen, dass alle Services gemeinsam als ein großes Ganzes funktionieren?
Service-Konsumenten sollen Schnittstellen nach Möglichkeit nutzen können, ohne Aufwand beim Anbieter der Schnittstelle zu verursachen. Das Ziel ist es, Features schnell und unabhängig umsetzen zu können.
In dem Vortrag wird vorgestellt, wie man eine hohe Nutzerzufriedenheit durch Consumer-Centric API Design und regelmäßige Produktiv-Deployments erzielt.
Möglich wird das durch ein sauberes API-Design, eine schlanke Microarchitektur und eine hohe Testautomatisierung. An praktischen Beispielen wird gezeigt, wie das erreicht werden kann.
Java scheint mit seinem Memory- und Runtime-Overhead in Zeiten von Cloud-native und Serverless nicht wirklich gut für die Zukunft gerüstet. Erschwerend kommt hinzu, dass viele auf Java basierende Frameworks mit Annotation Scanning, Aufbau von Proxies und Caches das Start- und Speicherverhalten weiter negativ beeinflussen. Bedeutet das das Aus für Java in der Wunderwelt der Cloud? Mitnichten! Projekte wie Quarkus versuchen, Java in der Cloud zur Numero Uno werden zu lassen. Und das auf beeindruckende Art und Weise. Die Session zeigt anhand praktischer Beispiele, was heute bereits möglich ist.
Man gewinnt den Eindruck, Microservices seien die Universallösung für all unsere (Architektur-)Probleme. Dabei sind Microservices lediglich Mittel zum Zweck. Was also, wenn meine Probleme nicht zur Lösung „Microservices“ passen? Ist es nach wir vor legitim, einen Monolithen zu bauen? Oder gibt es andere Architekturansätze, mit denen sich Monolithen aufbrechen lassen? In der Session werfen wir einen kritischen Blick auf Microservices und beleuchten – immer ausgehend von bestehenden Problemfeldern – eine Reihe alternativer Architekturen.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
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See My Other Reviews Article:
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(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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Top 7 Unique WhatsApp API Benefits | Saudi ArabiaYara Milbes
Discover the transformative power of the WhatsApp API in our latest SlideShare presentation, "Top 7 Unique WhatsApp API Benefits." In today's fast-paced digital era, effective communication is crucial for both personal and professional success. Whether you're a small business looking to enhance customer interactions or an individual seeking seamless communication with loved ones, the WhatsApp API offers robust capabilities that can significantly elevate your experience.
In this presentation, we delve into the top 7 distinctive benefits of the WhatsApp API, provided by the leading WhatsApp API service provider in Saudi Arabia. Learn how to streamline customer support, automate notifications, leverage rich media messaging, run scalable marketing campaigns, integrate secure payments, synchronize with CRM systems, and ensure enhanced security and privacy.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
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!
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, 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.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
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Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
3. ABOUT ME
Who am i?
• CIO New Technologies
• Enterprise & Mobile
• Author, Speaker, Coach & Mentor
• Snowboard & MTB Enthusiast
• Traveller between the worlds
Lars Röwekamp (a.k.a. @mobileLarson)
#WISSENTEILEN
LR
20. „Kein Server ist
einfacher zu
verwalten, als
kein Server.“
(Werner Vogels, CTO Amazon)
out-of-the-box self-scaling
out-of-the-box
self-scaling
cloud-based
super-backend
I had a dream ...
54. „Kein Server ist
einfacher zu
verwalten, als
kein Server.“
(Werner Vogels, CTO Amazon)
out-of-the-box self-scaling
out-of-the-box
self-scaling
cloud-based
super-backend
Remember
„your“ dreams?
104. #WISSENTEILEN
What do you mean by architecture?
We will use multiple components to design robust architectures for
serverless workloads.
• Compute Layer
• Data Layer
• Messaging & Streaming Layer
• User Management & Identity Layer
• System Monitoring & Deployment
105. #WISSENTEILEN
What do you mean by architecture?
We will use multiple components to design robust architectures for
serverless workloads: Compute Layer
• Serverless Functions (stateless, business logic)
• API Gateway (non functional, cross-cutting concerns)
• Step Functions (function orchestration via state machine)
106. #WISSENTEILEN
What do you mean by architecture?
We will use multiple components to design robust architectures for
serverless workloads: Data Layer
• RDBMS
• NoSQL (including caching and streaming)
• Object Store (e.g. used by CDN for static content)
• (Elastic)Search Service (search and analytics)
107. #WISSENTEILEN
What do you mean by architecture?
We will use multiple components to design robust architectures for
serverless workloads: Messaging & Streaming Layer
• Notification Service (pub/sub for async event notification)
• Streaming Service (collect and analyze data in real-time)
• ETL Service (capture, transform & load data for near real-time BI)
108. #WISSENTEILEN
What do you mean by architecture?
We will use multiple components to design robust architectures for
serverless workloads: User Management & Identity Layer
• User Management Service (user and user attributes)
• Authentication & Authorization (sign-up, sign-in, openID Connect)
• Federal Identity Service (e.g. for Google, Facebook accounts)
109. #WISSENTEILEN
What do you mean by architecture?
We will use multiple components to design robust architectures for
serverless workloads: System Monitoring & Deployment Layer
• System Monitoring (system & custom metrics)
• Distributed Tracing (deep insights for analyzing and debugging)
• Cloud Application Model (infrastructure as code)
112. #WISSENTEILEN
Scenario #1: RESTful Microservice
Characteristics
• you want a secure, easy-to-operate framework, that is simple to
replicate and has high levels of resiliency and availability
• you want to log utilization and access patterns to continually
improve the backend to support customer usage
• you are seeking to leverage managed services as much as possible
which reduces the heavy lifting associated wiith managing common
platforms including security and scalability
113. #WISSENTEILEN
Scenario #1: RESTful Microservice
What could possibly go wrong?
• abnormalities, e.g. unexpected / invalid calls
• internal errors, latency, cache misses
• usage pattern evolves over time
• customer location changes
• security attacks (e.g. DoS/DDoS)
115. #WISSENTEILEN
Scenario #2: Mobile Backend
Characteristics
• you want to create a complete serverless architecture
without managing any instances and/or server
• you want your business logic to be decoupled from your
mobile application as much as possible
• you are looking to provide business functionalities as an
API to optimize development across multiple platforms
116. #WISSENTEILEN
Scenario #2: Mobile Backend
What could possibly go wrong?
• unexpected peaks of workload
• runtime cost explosion
• duplicated or lost events
• security attacks
• high latency
118. #WISSENTEILEN
Scenario #3: Stream Processing
Characteristics
• you want to create a complete serverless architecture without
managing any instances or server for processing stream data
• you want to use existing libraries to take care of data ingestion
from a data producer perspective
119. #WISSENTEILEN
Scenario #3: Stream Processing
What could possibly go wrong?
• peaks of data to process
• data occurence and throughput does not match
• processing fails (all or parts)
• processing is slow(er) (... than expected)
• duplicate records (retry? idempotent?)
• runtime cost explosion
121. #WISSENTEILEN
Scenario #4: Web Application
Characteristics
• you want a scalable web application that can go global in
minutes high levels of resilience and availability
• you want a consistent user experience with adequate
response times
• you want to optimize your costs based upon actual user
demand versus paying for idle resources
• ...
122. #WISSENTEILEN
Scenario #4: Web Application
Characteristics
• ...
• you are seeking to leverage managed services as much as
possible which reduces the heavy lifting associated with
managing common platforms including security and
scalability
• you want to set up a framework that is easy to set up and
operate, and that you can extend with limited impact later
123. #WISSENTEILEN
Scenario #4: Web Application
What could possibly go wrong?
• security attacks
• static content latency
• personalized SLAs / usage plans
• customer location changes
135. #WISSENTEILEN
Operational Excellence
of a well-architectured Serverless Application
„How are you monitoring and responding to anomalies in your
serverless application?“
• collect default metrics
• define and collect custom metrics (ops- and business-centric)
• enable distributed tracing
• define alarms at individual and aggregate level
139. #WISSENTEILEN
Operational Excellence
of a well-architectured Serverless Application
„How are you evolving your serverless application while minimizing
the impact?“
• seperate code from configuration via function env variables
• API Gateway stage variables and/or configuration service
• infrastructure as code templates to enable faster deployment
• seperate gateway endpoints, functions, and state machines per
stage over aliases and versions alone
• A/B-Testing and zero-downtime changes via weighted aliases
142. #WISSENTEILEN
Security (Identity & Access Management)
of a well-architectured Serverless Application
„How do you authorize and authenticate access to your serverless
API?“
• IAM authorization (e.g. AWS IAM & SDKs)
• API Gateway customer Identity Provider authorizer (for existing IdP)
• BaaS based user pools (e.g. AWS Cognito)
143. #WISSENTEILEN
Security (Identity & Access Management)
of a well-architectured Serverless Application
„How are you enforcing boundaries as to what cloud services your
serverless functions can access?“
• least-privileged access via specific roles to avoid opening up the
systems for abuse
• small(er) functions with scoped activities
• NOTE: API Gateway API Key feature is not for security but primarily
for consumer‘s usage tracking
144. #WISSENTEILEN
Security (Detective Controls)
of a well-architectured Serverless Application
„How are you analyzing serverless application logs?“
• track vulnerabilities
• use log filters to transform log in metrics via regex
• create alarms based on application custom metrics
• enable API Gateway logging for single methods* for troubleshooting
• encrypt any data traversing the serverless application
*make certain not to violate compliance requirements
145. #WISSENTEILEN
Security (Detective Controls)
of a well-architectured Serverless Application
„How do you monitor dependency vulnerabilities within your
serverless application?“
• use 3rd party solution (e.g. OWASP Dependency Check)
• integrate into your CI/CD pipeline
146. #WISSENTEILEN
Security (Infastructure Protection)
of a well-architectured Serverless Application
„For VPC access, how are you enforcing networking boundaries as to
what serverless functions can access?“
• configure serverless function for VPC via VPN
• use security groups and Network Acess Control Lists (NACL) as
basis
• use proxies for outbound traffic filtering due to compliance reasons
147. #WISSENTEILEN
Security (Data Protection)
of a well-architectured Serverless Application
„How are your protecting sensitive data within your serverless
application?“
• use TLS for all communication
• senstive data should be protected at all times in all layers
• use encryption at transport and at rest
148. #WISSENTEILEN
Security (Data Protection)
of a well-architectured Serverless Application
„What is your strategy on input validation?“
• set up basic API Gateway request validation (JSON + parameters)
• app-specific deep validation via serverless function, framework, ...
154. #WISSENTEILEN
Reliability
of a well-architectured Serverless Application
„Have you considered serverless limits for peak workload?“
• avoid degradation and throtteling of services
• monitor usage and set alarms at 80% (e.g. via AWS Trusted Advisor)
• react context sensitive (e.g. raise limit temporary vs. throtteling)
• differ business-critical and non-business-critical functions*
• prefer asynchronous over synchronous communication
*keep max concurrent execution limit in mind
155. #WISSENTEILEN
Reliability
of a well-architectured Serverless Application
„How are you regulating access rates to and within your serverless
applications?“
• enable throtteling at the API level
• return appropriate return code, e.g. 429, to consumers
• include predictive limit information in return header
• issue API keys to consumers for more granular throtteling (SLAs)
156. #WISSENTEILEN
Reliability
of a well-architectured Serverless Application
„What is your strategy on asynchronous calls and events within your
serverless architecture?“
• use async calls and events as often as possible for decoupling ...
• to avoid time-outs and locked code
• to allow non-blocking I/O
• use external service for timeout handling if sync is needed*
• NOTE: async plus async equals sync
*e.g. step functions
157. #WISSENTEILEN
Reliability
of a well-architectured Serverless Application
„What‘s your testing strategy for serverless applications?“
• separate logic from infrastructure to allow unit testing
• don‘t use mocks for services you can‘t control* for integration tests
• perfom acceptance or end-to-end tests in real life environment
*they may change and may result in unexpected results
158. #WISSENTEILEN
Reliability
of a well-architectured Serverless Application
„How are you building resilience into your serverless application?“
Change Management
• put monitoring metrics in place
• monitor workload to be able to determine abnormalities
• use function and API versioning to be able to rollback
159. #WISSENTEILEN
Reliability
of a well-architectured Serverless Application
„How are you building resilience into your serverless application?“
Failure Management
• know default back-off and retry logic of serverless framework
• tune back-off and retry logic to your needs if necessary
• build back-off and retry logic into serverless queries
• leverage error logging and capture log info as a custom metric
• ...
160. #WISSENTEILEN
Reliability
of a well-architectured Serverless Application
„How are you building resilience into your serverless application?“
Failure Management
• use Dead Letter Queues (DLQ) as dedicated resources
• use step-functions to avoid custom „try-catch“ blocks*
• inspect and handle responses for non-atomic requests (batch-alike)
• use SAGA Pattern to roll back distributed business transactions
*AWS Step Functions, IBM Sequences, Azure Logic Apps
161. #WISSENTEILEN
Serverless Reliability 101
TYPES OR ERROR
• 4xx Client Error:
Can be fixed by developer, e.g.
InvalidParameterValue (400),
ResourceNotFound (404),
RequestTooLarge (413), etc.
• 5xx Server Error:
Most can be fixed by admin,
e.g. EC2 ENI management
errors (502)
RETRY POLICY
• Stream-based event sources:
Automatically retried until data expires
• Asynchronous invocations:
Automatically retried 2 extra times,
then published to dead-letter-queue
• Synchronous invocations:
Invoking app receives an error code
and is responsible for retries
163. #WISSENTEILEN
Performance Efficiency
of a well-architectured Serverless Application
„How do you choose the most optimum capacity units (memory,
shards, r/w per seconds) within your serverless application?“
• take a data-driven approach selecting a performant architecture
• gather data on all aspects of the architecture
• review results on a cyclical basis
• make architectural trade-offs if needed (e.g. compression, caching)
• run performance and load testings including upstream services
• finetune serverless functions
168. #WISSENTEILEN
Performance Efficiency
of a well-architectured Serverless Application
„How have you optimized the performance of your serverless
application?“
• enable API Gateway caching
• enable in-memory DB caching (e.g. DAX)
• avoid full scan operations on NoSQL DBs via indexes
• test performance with accurate sized sample workload
• leverage global scope within functions to take advantage of
container reuse (e.g. DB Connections, Cloud Service Connections)
169. #WISSENTEILEN
Performance Efficiency
of a well-architectured Serverless Application
active container available
for this Lambda that isn‘t busy
processing another event?
YES NO
invocation
After new container is created:
• function code package downloaded
• Lambda runtime environment started
171. #WISSENTEILEN
Performance Efficiency
of a well-architectured Serverless Application
„How do you decide what components of your serverless application
should be deployed in a VPC?“
• check for cloud-risk data
• check for access to the VPC located components
• avoid VPC whenever possible
173. #WISSENTEILEN
Cost Optimization
of a well-architectured Serverless Application
„What is your strategy for deciding the most optimal serverless
function memory allocation?“
• fine-tune memory allocation due to costs based on gathered data
177. #WISSENTEILEN
Cost Optimization
of a well-architectured Serverless Application
„What is your strategy for code logging in your serverless functions?“
• NOTE: logging impacts costs (ingestion and storage)
• remove unnecessary print statements in code
• use log levels and environment variables
• define log retention periods
• export old logs to cost-effective „archive“-storage
178. #WISSENTEILEN
Cost Optimization
of a well-architectured Serverless Application
„Is your code architecture running unnecessary serverless functions
in order to reduce complexity?“
• use API Gateway service proxy
• prefer direct integration over custom functions
• optimze code due to execution time
179. #WISSENTEILEN
Cost Optimization
of a well-architectured Serverless Application
„How to optimize your code to run in the least amount of time
possible?“
• use step functions instead of serverless functions for orchestration
to avoid the serverless function waiting for a resource to become
available*
*pay per state change not per milliseconds