An introduction into the serverless paradigm, relating it to other types of cloud offerings and sharing three major serverless offerings in MIcrosoft Azure
This document discusses two technology solutions delivered: the Azure Service Broker and Spring Music. The Azure Service Broker is a standard service broker application that provides self-provisioning of Azure services for Open Source Cloud Foundry platforms. Spring Music is a simple demonstration application that uses Spring Cloud principles to automatically detect and connect to backend database services. The document then demonstrates how to create and bind Azure SQL Server and Redis service instances to Spring Music, noting that while SQL Server connection was achieved, Redis required additional custom classes to enable recognition by Spring.
This document discusses how using a cloud server like Amazon Web Services (AWS) is important for e-commerce websites. It states that a server is the most important thing for a site, as a poor server can lead to slow speeds, downtime, and lost sales. AWS is recommended because it allows easy scaling of server resources as needed, offers managed database and storage services, and reduces costs compared to owning physical servers. The document provides examples of how to set up a high-performance WordPress stack on AWS that takes advantage of services like load balancing, caching, and search to improve site performance in a cost-effective manner.
This document is a presentation about serverless systems and architectures. It introduces serverless computing as a highly abstracted cloud computing model where infrastructure is fully managed by a third party. Key benefits of serverless include no server management, easy scalability, and pay-per-use pricing. The presentation demonstrates serverless concepts like AWS Lambda and event-driven architectures using examples and demos. It also discusses developing serverless applications locally and using frameworks like Spring with serverless.
The document summarizes announcements from the 2015 AWS re:Invent conference. Key announcements included new services like AWS Kinesis for streaming data, AWS QuickSight for business intelligence, and AWS Inspector for security assessments. AWS also discussed expanding existing services like Lambda, adding regions like Sydney, and emphasized their focus on enterprise customers through products that provide security, compliance, and migration capabilities. The document reflects on the large scale of the conference but notes bigger is not always better for learning. It encourages building applications freely on AWS platforms.
This document summarizes serverless design patterns and tools. It begins with a brief history of cloud computing and an introduction to serverless computing. Common serverless use cases like event-driven applications and stream processing are described. Several serverless patterns are then outlined, such as hosting a static website or REST API using AWS Lambda and API Gateway. Finally, the document demonstrates a serverless application and discusses future directions for serverless technologies.
This document provides an overview of serverless computing and introduces serverless frameworks for ClojureScript including CLJS-Lambda and Serverless-Cljs. It defines serverless as exposing single functions that are run on shared servers and paid for only by execution time. Recommended resources on serverless architectures and the AWS serverless page are provided. The document discusses JVM options for ClojureScript lambdas and introduces lein plugins and templates for building, testing, and deploying serverless ClojureScript functions to AWS Lambda including commands for building, deploying, and invoking functions.
Serverless Application Model - Executing Lambdas LocallyAlex
This document discusses using the Serverless Application Model (SAM) to develop serverless applications locally. It describes how SAM templates allow defining Lambda functions and APIs that can then be run locally using the SAM CLI. This avoids needing an internet connection to test functions and allows using local tools like debuggers. Examples are provided for local development workflows involving APIs, Lambda functions, DynamoDB, and S3 event processing. Key links are also provided to learn more about SAM templates, the SAM CLI, and running DynamoDB locally.
This document provides an overview of serverless computing using Azure Functions. It discusses the benefits of serverless such as increased server utilization, instant scaling, and reduced time to market. Serverless allows developers to focus on business logic rather than managing servers. Azure Functions is introduced as a way to develop serverless applications using triggers and bindings in languages like C#, Node.js, Python and more. Common serverless patterns are also presented.
This document discusses two technology solutions delivered: the Azure Service Broker and Spring Music. The Azure Service Broker is a standard service broker application that provides self-provisioning of Azure services for Open Source Cloud Foundry platforms. Spring Music is a simple demonstration application that uses Spring Cloud principles to automatically detect and connect to backend database services. The document then demonstrates how to create and bind Azure SQL Server and Redis service instances to Spring Music, noting that while SQL Server connection was achieved, Redis required additional custom classes to enable recognition by Spring.
This document discusses how using a cloud server like Amazon Web Services (AWS) is important for e-commerce websites. It states that a server is the most important thing for a site, as a poor server can lead to slow speeds, downtime, and lost sales. AWS is recommended because it allows easy scaling of server resources as needed, offers managed database and storage services, and reduces costs compared to owning physical servers. The document provides examples of how to set up a high-performance WordPress stack on AWS that takes advantage of services like load balancing, caching, and search to improve site performance in a cost-effective manner.
This document is a presentation about serverless systems and architectures. It introduces serverless computing as a highly abstracted cloud computing model where infrastructure is fully managed by a third party. Key benefits of serverless include no server management, easy scalability, and pay-per-use pricing. The presentation demonstrates serverless concepts like AWS Lambda and event-driven architectures using examples and demos. It also discusses developing serverless applications locally and using frameworks like Spring with serverless.
The document summarizes announcements from the 2015 AWS re:Invent conference. Key announcements included new services like AWS Kinesis for streaming data, AWS QuickSight for business intelligence, and AWS Inspector for security assessments. AWS also discussed expanding existing services like Lambda, adding regions like Sydney, and emphasized their focus on enterprise customers through products that provide security, compliance, and migration capabilities. The document reflects on the large scale of the conference but notes bigger is not always better for learning. It encourages building applications freely on AWS platforms.
This document summarizes serverless design patterns and tools. It begins with a brief history of cloud computing and an introduction to serverless computing. Common serverless use cases like event-driven applications and stream processing are described. Several serverless patterns are then outlined, such as hosting a static website or REST API using AWS Lambda and API Gateway. Finally, the document demonstrates a serverless application and discusses future directions for serverless technologies.
This document provides an overview of serverless computing and introduces serverless frameworks for ClojureScript including CLJS-Lambda and Serverless-Cljs. It defines serverless as exposing single functions that are run on shared servers and paid for only by execution time. Recommended resources on serverless architectures and the AWS serverless page are provided. The document discusses JVM options for ClojureScript lambdas and introduces lein plugins and templates for building, testing, and deploying serverless ClojureScript functions to AWS Lambda including commands for building, deploying, and invoking functions.
Serverless Application Model - Executing Lambdas LocallyAlex
This document discusses using the Serverless Application Model (SAM) to develop serverless applications locally. It describes how SAM templates allow defining Lambda functions and APIs that can then be run locally using the SAM CLI. This avoids needing an internet connection to test functions and allows using local tools like debuggers. Examples are provided for local development workflows involving APIs, Lambda functions, DynamoDB, and S3 event processing. Key links are also provided to learn more about SAM templates, the SAM CLI, and running DynamoDB locally.
This document provides an overview of serverless computing using Azure Functions. It discusses the benefits of serverless such as increased server utilization, instant scaling, and reduced time to market. Serverless allows developers to focus on business logic rather than managing servers. Azure Functions is introduced as a way to develop serverless applications using triggers and bindings in languages like C#, Node.js, Python and more. Common serverless patterns are also presented.
The document is an agenda for a presentation on Docker with AWS. It includes an introduction of the presenter and their company, LovesCloud. The bulk of the content discusses what problems Docker solves, what Docker is, how it can be used with AWS services like ECS and Fargate, and considerations for whether Docker is suitable for different workloads. Services that LovesCloud provides related to AWS consulting, training, and cost optimization are also mentioned.
Building a [micro]services platform on AWSShaun Pearce
Gousto built a monolithic application on AWS but was experiencing slow deployment times and other issues as the business grew rapidly. They rebuilt their application as a microservices architecture on AWS using a common platform approach. This standardized infrastructure, deployment processes, and APIs. It allowed them to increase deployment frequency, split the monolith into smaller independently deployable services, and scale their engineering team and development velocity. They also discussed areas like API design, asynchronous communication, and log management that they continued improving.
This document discusses accelerating DevOps pipelines with AWS services. It introduces Elastic Beanstalk for quickly deploying applications, OpsWorks for modeling and managing application stacks, and CloudFormation for defining infrastructure as code. CodeCommit provides source control, CodePipeline automates releases, and CodeDeploy deploys code. Lambda allows running code without managing infrastructure. ECS provides a way to run containerized applications at scale. Sample use cases are discussed for integrating services like CodeCommit, CodePipeline, ECS and CloudFormation into DevOps workflows.
Dave Nielsen - the economically unstoppable cloudOlga Lavrentieva
This document discusses different types of cloud computing including SaaS, PaaS, and IaaS. It explains that SaaS provides cloud applications that users cannot change, while PaaS and IaaS allow users to put their own code in the cloud and scale applications. PaaS provides automatic scaling while IaaS requires managing virtual machine instances yourself. The cloud provides on-demand access to computing resources without limits and removes delays from hardware provisioning. Key benefits of cloud computing include lower costs, faster innovation, and the ability to experiment more. Risks include security, data loss, and compliance issues.
Building Resilient Serverless Systems with Non-Serverless ComponentsJeremy Daly
Serverless functions (like AWS Lambda, Google Cloud Functions, and Azure Functions) have the ability to scale almost infinitely to handle massive workload spikes. While this is a great solution to compute, it can be a MAJOR PROBLEM for other downstream resources like RDBMS, third-party APIs, legacy systems, and even most managed services hosted by your cloud provider. Whether you’re maxing out database connections, exceeding API quotas, or simply flooding a system with too many requests at once, serverless functions can DDoS your components and potentially take down your application. In this talk, we’ll discuss strategies and architectural patterns to create highly resilient serverless applications that can mitigate and alleviate pressure on non-serverless downstream systems during peak load times.
Serverless Microservice Patterns for AWSJeremy Daly
Serverless gives us the power to focus on writing code without worrying about the provisioning and ongoing maintenance of the underlying compute resources. Cloud providers (like AWS) also give us a huge number of managed services that we can stitch together to create incredibly powerful and massively scalable serverless microservices. This talk focuses on common design patterns that can be used to implement serverless microservices in AWS.
The document discusses serverless computing and introduces Microsoft Azure Functions as a serverless platform, highlighting how Functions allows developers to write code that runs in response to events using triggers and bindings to integrate with other Azure services, and provides examples of common serverless patterns that can be implemented using Functions.
Building resilient serverless systems with non-serverless components - Server...Jeremy Daly
Serverless functions (like AWS Lambda, Google Cloud Functions, and Azure Functions) have the ability to scale almost infinitely to handle massive workload spikes. While this is a great solution for compute, it can be a MAJOR PROBLEM for other downstream resources like RDBMS, third-party APIs, legacy systems, and even most managed services hosted by your cloud provider. Whether you’re maxing out database connections, exceeding API quotas, or simply flooding a system with too many requests at once, serverless functions can DDoS your components and potentially take down your application. In this talk, we’ll discuss strategies and architectural patterns to create highly resilient serverless applications that can mitigate and alleviate pressure on “non-serverless” downstream systems during peak load times.
20180111 we bde-bs - serverless url shortenerLuca Bianchi
This document discusses serverless technologies and architectures. It introduces the speaker and their work with Neosperience on building digital customer experience applications using AWS serverless technologies. It then covers topics like serverless meetups, the serverless manifesto, events and triggers, development tools, and a demo of building a serverless URL shortener application using AWS Lambda, DynamoDB, API Gateway and other services.
The document discusses visual analysis using Google Cloud Platform. It provides an overview of Google Cloud services including App Engine, Container Engine, Compute Engine, Datastore, Cloud SQL, and Spanner for building and deploying applications at scale. It also mentions Machine Learning services for tasks like natural language processing, image analysis, and translation. The presentation then demonstrates a photo sharing application built on these services and discusses ways to enhance it further using App Engine Flex, video processing, document parsing, BigQuery, and analytics. It concludes by inviting Python developers interested in visual analysis to discuss job opportunities.
Go Serverless - Golang NE February 2018Mark Hemmings
An exploration of serverless Go. Specifically focussing on AWS and tools such as Apex and Up. Extra material can be found here: https://mhemmings.co.uk/blog/go-serverless-golangne/
Serverless apps: The startup founder's secret weaponArdee Aram
This document discusses serverless apps and computing. It begins by defining serverless computing as a cloud execution model where machine resources are allocated on demand by the cloud provider, removing the need for customers to manage servers themselves. It then outlines the benefits of the serverless model for student founders, including low costs since apps are only charged when in use (as opposed to monthly server fees) and the ability to easily try out projects without ongoing hosting fees. Various serverless technologies like AWS Lambda and Netlify Functions are also introduced.
Using AWS Lambda for Infrastructure Automation and BeyondSoftServe
This document provides an overview of AWS Lambda, including its history, supported languages, use cases, performance, pricing, and alternatives. AWS Lambda allows writing code that runs in response to events and automatically manages the computing resources required to run the code. It is useful for tasks like log processing, event stream processing, deployment automation, infrastructure automation, and serverless APIs. The document also includes a demo of using AWS Lambda for infrastructure automation with Route53.
Switching SaaS Hosting From dedicated virtual machines to container-based clu...AWS Germany
Presentation "Switching SaaS Hosting From dedicated virtual machines to container-based clusters" from Dr. Sven Ehlert at the AWS E-Business Web Day for windows applications. All videos and presentations can be found here: http://amzn.to/2ds3aMX
Jumpstarting Your Cloud Journey with OSS on Amazon LightsailAmazon Web Services
Interested in getting started in the cloud but unsure where to start? Already working in the cloud but feeling a bit overwhelmed? In this session we're going to take a look at how you can kickstart your cloud journey by leveraging open source blueprints on Amazon Lightsail. We will start with a quick overview of cloud computing and Amazon Lightsail, from there we'll look at how Lightsail supports a variety of open source applications and dev stacks. We'll deploy and scale a MEAN stack application and finish up showing how you can use custom blueprints to deploy whatever package you like. - a talk by Mike Coleman,
Developer Advocate, Amazon Web Services, at the Open Source Summit North America, August 2018.
This document summarizes a presentation about building voice experiences for Alexa. It provides an overview of Alexa, how it works, and steps to build a basic skill in 5 minutes or less. Tips are given for the certification process and monitoring Alexa skills. Links are also provided for additional documentation.
Workspaces provides virtual cloud-based Windows and Linux desktops that can be accessed through a client or web browser. API Gateway allows users to create, manage, and monitor APIs. Lambda runs code without servers in a event-driven runtime environment. S3 provides scalable object storage with 99.999999999% durability and multiple storage classes.
The new stack for SharePoint Framework
Intro to Software lifecycle + devops
Intro to VSTS/Azure
The build system + deploy
Unit tests with SPFX
Intro to tech debt management
Conclusion
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.
The document is an agenda for a presentation on Docker with AWS. It includes an introduction of the presenter and their company, LovesCloud. The bulk of the content discusses what problems Docker solves, what Docker is, how it can be used with AWS services like ECS and Fargate, and considerations for whether Docker is suitable for different workloads. Services that LovesCloud provides related to AWS consulting, training, and cost optimization are also mentioned.
Building a [micro]services platform on AWSShaun Pearce
Gousto built a monolithic application on AWS but was experiencing slow deployment times and other issues as the business grew rapidly. They rebuilt their application as a microservices architecture on AWS using a common platform approach. This standardized infrastructure, deployment processes, and APIs. It allowed them to increase deployment frequency, split the monolith into smaller independently deployable services, and scale their engineering team and development velocity. They also discussed areas like API design, asynchronous communication, and log management that they continued improving.
This document discusses accelerating DevOps pipelines with AWS services. It introduces Elastic Beanstalk for quickly deploying applications, OpsWorks for modeling and managing application stacks, and CloudFormation for defining infrastructure as code. CodeCommit provides source control, CodePipeline automates releases, and CodeDeploy deploys code. Lambda allows running code without managing infrastructure. ECS provides a way to run containerized applications at scale. Sample use cases are discussed for integrating services like CodeCommit, CodePipeline, ECS and CloudFormation into DevOps workflows.
Dave Nielsen - the economically unstoppable cloudOlga Lavrentieva
This document discusses different types of cloud computing including SaaS, PaaS, and IaaS. It explains that SaaS provides cloud applications that users cannot change, while PaaS and IaaS allow users to put their own code in the cloud and scale applications. PaaS provides automatic scaling while IaaS requires managing virtual machine instances yourself. The cloud provides on-demand access to computing resources without limits and removes delays from hardware provisioning. Key benefits of cloud computing include lower costs, faster innovation, and the ability to experiment more. Risks include security, data loss, and compliance issues.
Building Resilient Serverless Systems with Non-Serverless ComponentsJeremy Daly
Serverless functions (like AWS Lambda, Google Cloud Functions, and Azure Functions) have the ability to scale almost infinitely to handle massive workload spikes. While this is a great solution to compute, it can be a MAJOR PROBLEM for other downstream resources like RDBMS, third-party APIs, legacy systems, and even most managed services hosted by your cloud provider. Whether you’re maxing out database connections, exceeding API quotas, or simply flooding a system with too many requests at once, serverless functions can DDoS your components and potentially take down your application. In this talk, we’ll discuss strategies and architectural patterns to create highly resilient serverless applications that can mitigate and alleviate pressure on non-serverless downstream systems during peak load times.
Serverless Microservice Patterns for AWSJeremy Daly
Serverless gives us the power to focus on writing code without worrying about the provisioning and ongoing maintenance of the underlying compute resources. Cloud providers (like AWS) also give us a huge number of managed services that we can stitch together to create incredibly powerful and massively scalable serverless microservices. This talk focuses on common design patterns that can be used to implement serverless microservices in AWS.
The document discusses serverless computing and introduces Microsoft Azure Functions as a serverless platform, highlighting how Functions allows developers to write code that runs in response to events using triggers and bindings to integrate with other Azure services, and provides examples of common serverless patterns that can be implemented using Functions.
Building resilient serverless systems with non-serverless components - Server...Jeremy Daly
Serverless functions (like AWS Lambda, Google Cloud Functions, and Azure Functions) have the ability to scale almost infinitely to handle massive workload spikes. While this is a great solution for compute, it can be a MAJOR PROBLEM for other downstream resources like RDBMS, third-party APIs, legacy systems, and even most managed services hosted by your cloud provider. Whether you’re maxing out database connections, exceeding API quotas, or simply flooding a system with too many requests at once, serverless functions can DDoS your components and potentially take down your application. In this talk, we’ll discuss strategies and architectural patterns to create highly resilient serverless applications that can mitigate and alleviate pressure on “non-serverless” downstream systems during peak load times.
20180111 we bde-bs - serverless url shortenerLuca Bianchi
This document discusses serverless technologies and architectures. It introduces the speaker and their work with Neosperience on building digital customer experience applications using AWS serverless technologies. It then covers topics like serverless meetups, the serverless manifesto, events and triggers, development tools, and a demo of building a serverless URL shortener application using AWS Lambda, DynamoDB, API Gateway and other services.
The document discusses visual analysis using Google Cloud Platform. It provides an overview of Google Cloud services including App Engine, Container Engine, Compute Engine, Datastore, Cloud SQL, and Spanner for building and deploying applications at scale. It also mentions Machine Learning services for tasks like natural language processing, image analysis, and translation. The presentation then demonstrates a photo sharing application built on these services and discusses ways to enhance it further using App Engine Flex, video processing, document parsing, BigQuery, and analytics. It concludes by inviting Python developers interested in visual analysis to discuss job opportunities.
Go Serverless - Golang NE February 2018Mark Hemmings
An exploration of serverless Go. Specifically focussing on AWS and tools such as Apex and Up. Extra material can be found here: https://mhemmings.co.uk/blog/go-serverless-golangne/
Serverless apps: The startup founder's secret weaponArdee Aram
This document discusses serverless apps and computing. It begins by defining serverless computing as a cloud execution model where machine resources are allocated on demand by the cloud provider, removing the need for customers to manage servers themselves. It then outlines the benefits of the serverless model for student founders, including low costs since apps are only charged when in use (as opposed to monthly server fees) and the ability to easily try out projects without ongoing hosting fees. Various serverless technologies like AWS Lambda and Netlify Functions are also introduced.
Using AWS Lambda for Infrastructure Automation and BeyondSoftServe
This document provides an overview of AWS Lambda, including its history, supported languages, use cases, performance, pricing, and alternatives. AWS Lambda allows writing code that runs in response to events and automatically manages the computing resources required to run the code. It is useful for tasks like log processing, event stream processing, deployment automation, infrastructure automation, and serverless APIs. The document also includes a demo of using AWS Lambda for infrastructure automation with Route53.
Switching SaaS Hosting From dedicated virtual machines to container-based clu...AWS Germany
Presentation "Switching SaaS Hosting From dedicated virtual machines to container-based clusters" from Dr. Sven Ehlert at the AWS E-Business Web Day for windows applications. All videos and presentations can be found here: http://amzn.to/2ds3aMX
Jumpstarting Your Cloud Journey with OSS on Amazon LightsailAmazon Web Services
Interested in getting started in the cloud but unsure where to start? Already working in the cloud but feeling a bit overwhelmed? In this session we're going to take a look at how you can kickstart your cloud journey by leveraging open source blueprints on Amazon Lightsail. We will start with a quick overview of cloud computing and Amazon Lightsail, from there we'll look at how Lightsail supports a variety of open source applications and dev stacks. We'll deploy and scale a MEAN stack application and finish up showing how you can use custom blueprints to deploy whatever package you like. - a talk by Mike Coleman,
Developer Advocate, Amazon Web Services, at the Open Source Summit North America, August 2018.
This document summarizes a presentation about building voice experiences for Alexa. It provides an overview of Alexa, how it works, and steps to build a basic skill in 5 minutes or less. Tips are given for the certification process and monitoring Alexa skills. Links are also provided for additional documentation.
Workspaces provides virtual cloud-based Windows and Linux desktops that can be accessed through a client or web browser. API Gateway allows users to create, manage, and monitor APIs. Lambda runs code without servers in a event-driven runtime environment. S3 provides scalable object storage with 99.999999999% durability and multiple storage classes.
The new stack for SharePoint Framework
Intro to Software lifecycle + devops
Intro to VSTS/Azure
The build system + deploy
Unit tests with SPFX
Intro to tech debt management
Conclusion
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.
Serverless applications allow developers to focus on writing code without worrying about managing infrastructure. With serverless, there is zero administration, no provisioning is needed, and applications can scale seamlessly. Some key benefits of the serverless approach are that it allows for rapid innovation and focusing on business value. Serverless uses building blocks like AWS API Gateway and AWS Lambda. API Gateway handles authorization and scaling for APIs, while Lambda allows code to be run in a serverless environment and scales automatically based on usage.
This month we were joined by Gerald from Contino who answered the question on why friends don't let friends build landing zones.
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SaaS on the rise - Why carriers have to make our lives miserableAndré Cedik
The document discusses cloud services and software-as-a-service (SaaS). It defines cloud services as outsourcing IT resources to run applications remotely via the internet. It describes three main types of cloud services: infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS). SaaS is defined as software that is entirely managed remotely with no configuration required by the user. The document also lists some pros and cons of cloud services.
- Moneyou is a subsidiary of ABN Amro that offers online savings and payments to customers. It has transitioned to using serverless architecture to improve time to market, reduce costs, and simplify development.
- Moneyou set up separate AWS accounts for development, testing, and production environments to improve security and compliance. Infrastructure is defined as code using CloudFormation.
- They leverage services like API Gateway and Lambda to connect to legacy on-premise systems while avoiding managing VPCs. Continuous compliance checks are performed using AWS Config.
- Patterns like using DynamoDB as a lock server help achieve strong consistency in event-driven architectures where eventual consistency is the norm. Overall serverless has provided scalability
DevOpsDays Houston 2019 - Erik Peterson - FinDevOps: Site Reliability in the ...DevOpsDays Houston
Is SRE, DevOps and serverless a match made in heaven or is something missing? What about cost when building reliable Serverless systems? To answer this, lets explore SRE and Serverless principals, a new concept called FinDevOps, and along the way make a few predictions about our serverless future
2019-10-15 - the future of cloud-native Java - Bert ErtmanApeldoorn JUG
Java is an open language. Every developer or organization can contribute to its open source components (libraries & frameworks) and even to the language specifications itself. This way, the community helps to improve the language continuously. While this gives developers a lot of freedom, it makes it hard to standardize. The software architecture of a Java application starts with its runtime (that is the combination of frameworks, specifications and application server). For years, monolitic JEE applications were hosted on heavy application servers. But is this platform the best option for fast, flexible and controlled delivery of business value embedded in cloud native-applications running on both IAAS-platforms and CAAS-containers? In this session Java-champion Bert Ertman will give his view.
Bert Ertman:
Fellow, and VP Technology at Luminis. Besides assignments at customers, he is responsible for stimulating innovation, knowledge sharing, coaching, technology choices and presales activities. A frequent speaker on Java, Cloud, and software architecture all over the world. Book author, and serial conference organizer. Bert Ertman was awarded the coveted title of Java Champion in 2008, and is a JavaOne RockStar speaker and twofold Duke’s Choice award winner.
Java is an open language. Every developer or organization can contribute to its open source components (libraries & frameworks) and even to the language specifications itself. This way, the community helps to improve the language continuously. While this gives developers a lot of freedom, it makes it hard to standardize. The software architecture of a Java application starts with its runtime (that is the combination of frameworks, specifications and application server). For years, monolitic JEE applications were hosted on heavy application servers. But is this platform the best option for fast, flexible and controlled delivery of business value embedded in cloud native-applications running on both IAAS-platforms and CAAS-containers? In this session Java-champion Bert Ertman will give his view.
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".
Durante i laboratori pratici, gli esperti AWS ti mostrano quali strumenti aiutano a sviluppare le applicazioni Serverless in locale e nel cloud AWS e ti aiuteranno a programmare i prossimi passi per iniziare ad utilizzare questa tecnologia nella tua azienda.
Serverless Computing, AWS Way by SourceFuse Technologies SourceFuse
This document discusses serverless computing on AWS. It provides an overview of AWS serverless services like Lambda, API Gateway, S3, DynamoDB, and others. It discusses how these services work and their advantages like automatic scaling, high availability, and pay-per-use pricing. It then presents three use cases where a company called SourceFuse leveraged various AWS serverless technologies to build applications for video ad generation, route mapping, and transport request processing.
Serverless Computing is only the next step in server evolution, they bring in efficiency, such that developers can focus on building great applications and services in a cost-effective manner without the operational overhead of traditional application development and deployment.
Explore the presentation here as given by Manpreet Singh, CTO, SourceFuse, in a webinar organized by AWS on “Serverless Computing”
The presentation talks in depth about Serverless Computing use case, detailing out Lambda and case studies on the same.
Building a SaaS based product in Azure - Challenges and decisions madeBizTalk360
In this session, founder/CTO of BizTalk360 - Saravana Kumar shares his experiences, challenges, and lessons that he and his team learnt when they built their first SaaS based product(s) - BizTalk360 Cloud and ServiceBus360.
Talk from GlueCon 2012 in Denver, CO on the advent of service-oriented architectures for mobile and web backends where each of the services is managed by a third-party. This structure was first popularized by Heroku's addons ecosystem.
Site reliability in the serverless age - Serverless Boston MeetupErik Peterson
Just what is this serverless thing anyway and what does it mean for building reliable systems? To answer this, lets explore SRE & DevOps principals and map them to their serverless counterparts and along the way make a few predictions about our serverless future
With AWS, companies now have the ability to develop and run their applications with speed and flexibility like never before. Working with an infrastructure that can be 100% API driven enables businesses to use lean methodologies and realize these benefits. This in turn leads to greater success for those who make use of these practices. In this session we'll talk about some of the key concepts and design patterns for Continuous Deployment and Continuous Integration - two elements of lean development of applications and infrastructures.
We adopted a serverless architecture to build a real-time analytics solution for tracking website usage. This involved using AWS Lambda functions triggered by events in Amazon Kinesis streams to index data from API requests in Amazon Elasticsearch. The serverless approach allowed us to focus on solving business problems rather than managing infrastructure, and provided built-in monitoring, auto-scaling, and pay-per-use billing. While some services like API Gateway could become expensive at high volumes, we optimized costs by batching requests and retrieving data in batches from Kinesis. The resulting solution met our goals of speed, cost-effectiveness, and reduced maintenance.
Are you still using Docker in production? Get over it! Serverless is the NEW future of the Cloud. But since the Cloud is still someone else's computer, that needs to be managed too. And if it is sitting idle, you probably have to pay for it whether you like it or not. No server can be more easily managed than no server. Therefore: meet Serverless, a new paradigm that truly approaches the Pay-as-You-Go philosophy once promised by the Cloud.
This session explores Serverless, its impact on existing architectures, and assesses it's usability for Mobile Back-ends as a Service (MBaaS), Functions-as-a-Service (FaaS) and also for Microservices based architectures hosted in the cloud.
Similar to Focus on business value by going Serverless (20)
Henry been azure resource manager - inside outHenry Been
This document discusses infrastructure as code using Azure Resource Manager templates. It begins with an example of JSON code that defines a storage account resource. It then covers key aspects of ARM templates like their structure with parameters, variables, resources, and outputs. It also discusses functions that can be used in templates and different ways of deploying templates including via the Azure CLI, PowerShell, or pipelines.
Dot netsaterday henry been - logging instrumentation dashboards alertsHenry Been
This document discusses logging, instrumentation, dashboards and alerts for developers. It covers monitoring theory, what to monitor and not monitor, and using Azure services like Azure Monitor and Application Insights for metrics, logs and setting up dashboards and alerts. A demo of instrumenting an application and viewing metrics and logs is also included.
Henry Been - Secure development: keeping your application secrets privateHenry Been
Do you still store secrets in source control? Are your secrets safely stored, but are you struggling to distribute them to your applications? Do you feel this should be easy, but you can’t just find out how?
In this session, Henry will take you on a journey that starts with passwords in source control. From there he will quickly take you along on a series of improvements to make both local development and production deployments more and more secure with every change.
Along the way, you will learn how to use Azure Key Vault, Azure Active Directory (AAD) and App Service Managed Instance to get everyone on a need to know basis. Finally, you will see how forgetting about keys, certificates and passwords completely and just using AAD could solve all your problems. That is.., if everyone would just use AAD!
Logging, Instrumentation, Dashboards and Alerts - for developersHenry Been
An introduction into monitoring & logging, for developers. Some theory, a discussion of what to monitor and what not and getting started implementing monitoring & logging using Microsoft Azure
An introduction into creating a multi tenant SaaS application, creating a database per tenant architecture. Incluiding a case study, example and general pointers
Secure deployments keeping your application secrets private -duug festHenry Been
This document discusses several approaches for securely managing secrets in deployments, including using a release orchestrator, ARM templates, accessing secrets directly from Key Vault, and accessing supported services directly. It recommends using a release orchestrator for existing situations, ARM templates to avoid duplicating secrets manually, and directly accessing Key Vault or supported services when possible to allow secrets to be automatically picked up on deployment and rolled more easily. Config builders are also presented as a way to handle secrets for local development and deployments.
Secure deployments keeping your application secrets private - condensedHenry Been
This document discusses different approaches for managing secrets securely in DevOps deployments. It presents four approaches: 1) using a release orchestrator which allows viewing secrets, 2) using ARM templates which prevents viewing secrets but they must be duplicated, 3) directly accessing key vault which prevents viewing and duplication of secrets but is only available on some Azure services, and 4) directly accessing other services which has the same benefits as 3 but is limited to supported services. The document recommends choosing an approach based on how code and infrastructure are deployed and what capabilities the services support. It also demonstrates config builders for managing secrets locally and in the cloud.
Writing, build and releasing your own vsts extensionHenry Been
This document discusses how to write, build, and release Visual Studio Team Services (VSTS) extensions. It provides an overview of the process for creating a VSTS extension, including using extension points, the extension manifest, and publishing to the VSTS marketplace. It also includes several useful resources for learning how to build VSTS extensions.
Henry been database-per-tenant with 50k databasesHenry Been
To create an application that is truly designed for massive scale, scale-out at every level of the solution is needed. While doing so at the services level, many developers are still using a single database to serve every request. In response to this, a new pattern, database-per-tenant, is emerging. In this pattern, all data is distributed over a large number of databases. In this session Henry will explore this pattern in detail, covering its advantages and disadvantages and a number of common scenarios around such an architecture.
Henry been - Multi-tenant applications using 30k databasesHenry Been
Talk I gave at TechDays 2017 on building a scale-out data layer in Azure SQL DB using elastic tools and capabilities, sharing both the SnelStart story and exploring the MS Wingtip example
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
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!
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
4. EMAIL ME THOSE EXPENSES!
Easy! Right?
And then..all of a sudden you need:
• A new virtual machine
• To configure a webserver
• Firewalls, accessrules, an SSL certificate
• Etc...
Just so a developer can host some code
27. YOUR MILEAGE MAY VARY
Pro’s
• Focus on value
• Cheap(er)
• Less TTM
• Unlimited autoscale
Con’s
• State is really hard
• Cold start
• Vendor lock in
• Management at scale
28. DO TRY THIS AT HOME!
HENRY BEEN
Independent Devops & Azure Architect
E: consultancy@henrybeen.nl
T: @henry_been
L: linkedin.com/in/henrybeen
W: henrybeen.nl
Editor's Notes
Relates to:- AWS Lambda
- Google Cloud Functions
- Most comparisons integrate this in the comparison to AWS Lambda and Google Cloud Functions
Relates to AWS Simple Workflow Service
Nothing similar on Google that I know of