Derek C. Ashmore gave a presentation on AWS Lambda deployments, best practices, and common mistakes. The presentation covered what AWS Lambdas are, their benefits and limitations, developing Lambda functions using different programming languages, deploying Lambdas using API Gateway and SNS, and tales from the field about common issues. The presentation provided resources for sample code and addressed questions about performance, using Lambdas for microservices, and the future of serverless computing.
Refactoring Into Microservices 2016-11-08Derek Ashmore
This presentation was given to the Illinois Java Users Group on November 8, 2016.
Microservices architecture has become a widely popular topic. Most of us are aware of what microservices are and the problems they are meant to solve. Most microservice implementations were originally monolithic applications that grew too large and complex to support. However, refactoring into microservices is much easier said than done.
This presentation will provide you guidance for refactoring a monolithic application into microservices. I'll provide an overview of the entire process along with best practices and common mistakes along the way. This presentation is meant to be platform-generic; you can use these concepts on applications written in any programming language. This presentation is targeted for senior developers and tech leads.
Refactoring Into Microservices 2016-11-06Derek Ashmore
This presentation was given to the Software Development Community (SDC) on November 6, 2016.
Microservices architecture has become a widely popular topic. Most of us are aware of what microservices are and the problems they are meant to solve. Most microservice implementations were originally monolithic applications that grew too large and complex to support. However, refactoring into microservices is much easier said than done.
This presentation will provide you guidance for refactoring a monolithic application into microservices. I'll provide an overview of the entire process along with best practices and common mistakes along the way. This presentation is meant to be platform-generic; you can use these concepts on applications written in any programming language. This presentation is targeted for senior developers and tech leads.
Refactoring Into Microservices 2016-11-08Derek Ashmore
This presentation was given to the Illinois Java Users Group on November 8, 2016.
Microservices architecture has become a widely popular topic. Most of us are aware of what microservices are and the problems they are meant to solve. Most microservice implementations were originally monolithic applications that grew too large and complex to support. However, refactoring into microservices is much easier said than done.
This presentation will provide you guidance for refactoring a monolithic application into microservices. I'll provide an overview of the entire process along with best practices and common mistakes along the way. This presentation is meant to be platform-generic; you can use these concepts on applications written in any programming language. This presentation is targeted for senior developers and tech leads.
Refactoring Into Microservices 2016-11-06Derek Ashmore
This presentation was given to the Software Development Community (SDC) on November 6, 2016.
Microservices architecture has become a widely popular topic. Most of us are aware of what microservices are and the problems they are meant to solve. Most microservice implementations were originally monolithic applications that grew too large and complex to support. However, refactoring into microservices is much easier said than done.
This presentation will provide you guidance for refactoring a monolithic application into microservices. I'll provide an overview of the entire process along with best practices and common mistakes along the way. This presentation is meant to be platform-generic; you can use these concepts on applications written in any programming language. This presentation is targeted for senior developers and tech leads.
Refactoring Into Microservices. Chicago Coders Conference 2017-06-26Derek Ashmore
Given published success stories from Netflix and Amazon, many companies are adopting microservice architectures. Most of the time, microservices are born in an effort to break a monolith into more manageable pieces. A monolith is an application that has grown too large and complex to effectively enhance and support. Most of us have seen monolithic applications or even had the pleasure of supporting them. However, refactoring a monolithic application into smaller, more manageable services is much easier said than done.
This session will provide strategies and tactics you can use to refactor a monolith into smaller services and mitigate the risk along the way. Typically, refactoring a monolith takes place incrementally and not all at once. I’ll show you how to identify and prioritize portions of the monolith to break away. I’ll address automated testing and how to use it to refactor more safely. I’ll show you tactics for refactoring and restructuring the underlying database the monolith uses. I’ll cover some common mistakes along the way.
This session is targeted at architects and team leads. This session is intended to be platform-generic.
Microservices with Terraform, Docker and the Cloud. DevOps Wet 2018Derek Ashmore
Much has been written about how to write Microservices, but not enough about how to effectively deploy and manage them. Microservices architecture multiplies the number of deployables IT has to manage by at least 10x. In that world, tooling to manage cloud deployments and related infrastructure becames essential for success. Terraform and Docker are increasingly being leveraged to facilitate microservice environments. Terraform has become becoming the leading coding framework for building and managing change in cloud environments.
This session is targeted at architects and team leads. This session is intended to be platform-generic.
Serverless has gained a lot on popularity recently and changed the way we develop the applications. We no longer need to care about setting up and managing the servers, scalability and deployment is simplified. Serverless is very often referred to as the approach which will let you to shift focus to implementing business logic when writing the code. But where has the complexity moved to now? How performant is Java code in serverless solution? Is serverless good for complex solutions? What are the benefits? During my talk I’d like to answer those questions based on our experiences of working on serverless solution written fully in Java.
Microservices with Terraform, Docker and the Cloud. JavaOne 2017 2017-10-02Derek Ashmore
Much has been written about how to write Microservices, but not enough about how to effectively deploy and manage them. Microservices architecture multiplies the number of deployables IT has to manage by at least 10x. In that world, tooling to manage cloud deployments and related infrastructure becames essential for success. Terraform and Docker are increasingly being leveraged to facilitate microservice environments. Terraform has become becoming the leading coding framework for building and managing change in cloud environments.
Attendees will learn best practices for deploying and managing microservices in production. We will leverage true "infrastructure as code" using Terraform. That code is easily re-used and make changes easy. That code makes it easy to deploy and scale software including Docker images. You will learn not only how to establish that environment initially, but how changes can be effectively managed. I'll cover best practices and common mistakes along the way. AWS will be used as the cloud provider, but Terraform operates seamlessly on other cloud environments as well.
This session is targeted at architects and team leads. This session is intended to be platform-generic.
AWS lambda functions are amazing for building large web applications. Just bundle your code and your dependencies and you're done. But what if you're dependencies are not supported by the runtime? How can you execute arbitrary code on lambda? What if your code depends on something like system fonts?
The Scala programming language has been gaining significant traction over the last few years, being adopted by vastly different organizations from startups to large enterprises. While the language itself is pretty well understood and explained in tutorials and books, there is an apparent dearth of practical advice for new adopters on the best approach to integrating the new technology. In this talk I’ll attempt to offer such advice gathered over several years of production Scala use, focusing on tools, practices, patterns and the community, in the hope of making your transition into the Scala ecosystem easier and better-informed up front.
A talk given at JavaOne 2015 in San Francisco.
AWS Re:Invent - High Availability Architecture at NetflixAdrian Cockcroft
Slides from my talk at AWS Re:Invent November 2012. Describes the architecture, how to make highly available application code and data stores, a taxonomy of failure modes, and actual failures and effects. Ends with a summary of @NetflixOSS projects so others can easily leverage this architecture.
Combining R With Java For Data Analysis (Devoxx UK 2015 Session)Ryan Cuprak
Java is a general-purpose language and is not particularly well suited for performing statistical analysis. Special languages and software environments have been created by and for statisticians to use. Statisticians think about programming and data analysis much different from Java programmers. These languages and tools make it easy to perform very sophisticated analyses on large data sets easily. Tools, such as R and SAS, contain a large toolbox of statistical tools that are well tested, documented and validated. For data analysis you want to use these tools.
In this session we will provide an overview of how to leverage the power of R from Java. R is the leading open source statistical package/language/environment. The first part of the presentation will provide an overview of R focusing on the differences between R and Java at the language level. We’ll also look at some of the basic and more advanced tests to illustrate the power of R. The second half of the presentation will cover how to integrate R and Java using rJava. We’ll look at leverage R from the new Java EE Batching (JSR 352) to provide robust statistical analysis for enterprise applications.
This talk lays out the elements of an extension including the content model, JS API, Web Scripts, Content Policies, Action Executors, Web Scripts and more. This will draw on years of experience delivering extensions to various projects.
There is a code sample in github: https://github.com/rmknightstar/devcon2018
You can see the presentation as given at the Alfresco Developer Conference here : https://youtu.be/CKRswhh-jHE?list=PLyJdWuUHM3igOUt49uiFqs-6DCQAgJ1vs&t=0
Refactoring Into Microservices. Chicago Coders Conference 2017-06-26Derek Ashmore
Given published success stories from Netflix and Amazon, many companies are adopting microservice architectures. Most of the time, microservices are born in an effort to break a monolith into more manageable pieces. A monolith is an application that has grown too large and complex to effectively enhance and support. Most of us have seen monolithic applications or even had the pleasure of supporting them. However, refactoring a monolithic application into smaller, more manageable services is much easier said than done.
This session will provide strategies and tactics you can use to refactor a monolith into smaller services and mitigate the risk along the way. Typically, refactoring a monolith takes place incrementally and not all at once. I’ll show you how to identify and prioritize portions of the monolith to break away. I’ll address automated testing and how to use it to refactor more safely. I’ll show you tactics for refactoring and restructuring the underlying database the monolith uses. I’ll cover some common mistakes along the way.
This session is targeted at architects and team leads. This session is intended to be platform-generic.
Microservices with Terraform, Docker and the Cloud. DevOps Wet 2018Derek Ashmore
Much has been written about how to write Microservices, but not enough about how to effectively deploy and manage them. Microservices architecture multiplies the number of deployables IT has to manage by at least 10x. In that world, tooling to manage cloud deployments and related infrastructure becames essential for success. Terraform and Docker are increasingly being leveraged to facilitate microservice environments. Terraform has become becoming the leading coding framework for building and managing change in cloud environments.
This session is targeted at architects and team leads. This session is intended to be platform-generic.
Serverless has gained a lot on popularity recently and changed the way we develop the applications. We no longer need to care about setting up and managing the servers, scalability and deployment is simplified. Serverless is very often referred to as the approach which will let you to shift focus to implementing business logic when writing the code. But where has the complexity moved to now? How performant is Java code in serverless solution? Is serverless good for complex solutions? What are the benefits? During my talk I’d like to answer those questions based on our experiences of working on serverless solution written fully in Java.
Microservices with Terraform, Docker and the Cloud. JavaOne 2017 2017-10-02Derek Ashmore
Much has been written about how to write Microservices, but not enough about how to effectively deploy and manage them. Microservices architecture multiplies the number of deployables IT has to manage by at least 10x. In that world, tooling to manage cloud deployments and related infrastructure becames essential for success. Terraform and Docker are increasingly being leveraged to facilitate microservice environments. Terraform has become becoming the leading coding framework for building and managing change in cloud environments.
Attendees will learn best practices for deploying and managing microservices in production. We will leverage true "infrastructure as code" using Terraform. That code is easily re-used and make changes easy. That code makes it easy to deploy and scale software including Docker images. You will learn not only how to establish that environment initially, but how changes can be effectively managed. I'll cover best practices and common mistakes along the way. AWS will be used as the cloud provider, but Terraform operates seamlessly on other cloud environments as well.
This session is targeted at architects and team leads. This session is intended to be platform-generic.
AWS lambda functions are amazing for building large web applications. Just bundle your code and your dependencies and you're done. But what if you're dependencies are not supported by the runtime? How can you execute arbitrary code on lambda? What if your code depends on something like system fonts?
The Scala programming language has been gaining significant traction over the last few years, being adopted by vastly different organizations from startups to large enterprises. While the language itself is pretty well understood and explained in tutorials and books, there is an apparent dearth of practical advice for new adopters on the best approach to integrating the new technology. In this talk I’ll attempt to offer such advice gathered over several years of production Scala use, focusing on tools, practices, patterns and the community, in the hope of making your transition into the Scala ecosystem easier and better-informed up front.
A talk given at JavaOne 2015 in San Francisco.
AWS Re:Invent - High Availability Architecture at NetflixAdrian Cockcroft
Slides from my talk at AWS Re:Invent November 2012. Describes the architecture, how to make highly available application code and data stores, a taxonomy of failure modes, and actual failures and effects. Ends with a summary of @NetflixOSS projects so others can easily leverage this architecture.
Combining R With Java For Data Analysis (Devoxx UK 2015 Session)Ryan Cuprak
Java is a general-purpose language and is not particularly well suited for performing statistical analysis. Special languages and software environments have been created by and for statisticians to use. Statisticians think about programming and data analysis much different from Java programmers. These languages and tools make it easy to perform very sophisticated analyses on large data sets easily. Tools, such as R and SAS, contain a large toolbox of statistical tools that are well tested, documented and validated. For data analysis you want to use these tools.
In this session we will provide an overview of how to leverage the power of R from Java. R is the leading open source statistical package/language/environment. The first part of the presentation will provide an overview of R focusing on the differences between R and Java at the language level. We’ll also look at some of the basic and more advanced tests to illustrate the power of R. The second half of the presentation will cover how to integrate R and Java using rJava. We’ll look at leverage R from the new Java EE Batching (JSR 352) to provide robust statistical analysis for enterprise applications.
This talk lays out the elements of an extension including the content model, JS API, Web Scripts, Content Policies, Action Executors, Web Scripts and more. This will draw on years of experience delivering extensions to various projects.
There is a code sample in github: https://github.com/rmknightstar/devcon2018
You can see the presentation as given at the Alfresco Developer Conference here : https://youtu.be/CKRswhh-jHE?list=PLyJdWuUHM3igOUt49uiFqs-6DCQAgJ1vs&t=0
AWS Community Day - Derek C. Ashmore - AWS Lambda: Best Practices AWS Chicago
Derek C. Ashmore - AWS Lambda: Best Practices and Common
Mistakes
Tips and tricks to make AWS Lambda functions usable in different contexts and easier to develop and support. Based on real-world examples, concrete examples for how to make AWS Lambda code easier and how to properly nest lambdas.
AWS Community Day
aws community day | midwest 2019
Get the EDGE to scale: Using Cloudfront along with edge compute to scale your...Amazon Web Services
You could use Cloud Front to deliver pages faster, however, customized processing still required requests to be forwarded back to compute resources at centralized servers, which may slow down the end user experience. This session shows how a combination of Cloud Front, and edge compute can help you scale out your resources in a much more effective way than you think.
Speaker: Anil Nair
Solution Architect, Amazon India
Serverless design considerations for Cloud Native workloadsTensult
We have built a news website with more than a billion views per month and we are sharing the learnings from that experience covering Serverless architectures, Design considerations, and Gotchas.
Accenture Cloud Platform helps customers manage public and private enterprise cloud resources effectively and securely. In this session, learn how we designed and built new core platform capabilities using a serverless, microservices-based architecture that is based on AWS services such as AWS Lambda and Amazon API Gateway. During our journey, we discovered a number of key benefits, including a dramatic increase in developer velocity, a reduction (to almost zero) of reliance on other teams, reduced costs, greater resilience, and scalability. We describe the (wild) successes we’ve had and the challenges we’ve overcome to create an AWS serverless architecture at scale. Session sponsored by Accenture.
AWS Competency Partner
Deep Dive on AWS Lambda - January 2017 AWS Online Tech TalksAmazon Web Services
AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume - there is no charge when your code is not running. With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app. In this session, we dive deep into AWS Lambda to learn about capabilities, features and benefits.
Learning Objectives:
• Dive deep into AWS Lambda
• Learn about the capabilities, features and benefits of AWS Lambda
• Learn about the different use cases
• Learn how to get started using AWS Lambda
Serverless has gained a lot on popularity recently and changed the way we develop the applications. We no longer need to care about setting up and managing the servers, scalability and deployment is simplified. Serverless is very often referred to as the approach which will let you to shift focus to implementing business logic when writing the code. But where has the complexity moved to now? How performant is Java code in serverless solution? Is serverless good for complex solutions? What are the benefits? During my talk I’d like to answer those questions based on our experiences of working on serverless solution written fully in Java.
Do you want to run your code without the cost and effort of provisioning and managing servers? Find out how in this deep dive session on AWS Lambda, which allows you to run code for virtually any type of application or back end service – all with zero administration. During the session, we’ll look at a number of key AWS Lambda features and benefits, including automated application scaling with high availability; pay-as-you-consume billing; and the ability to automatically trigger your code from other AWS services or from any web or mobile app.
Similar to AWS Lambda Deployments: Best Practices and Common Mistakes O'Reilly Software Architect's Conference 2016-11-14 (20)
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.