This document discusses how a social network was built in under 4 weeks using serverless architecture and GraphQL. A small team including 1 full-time front-end developer for mobile, 1 full-time front-end developer for CMS, and 1 part-time back-end developer completed the project in approximately 7, 3, and 4 weeks respectively. AWS services like Cognito, AppSync, DynamoDB, Lambda, S3, and CloudFront were used to build the backend. An AWS organization structure was also implemented for production, staging, and development environments.
Serverless technologies drastically simplify the task of building modern, scalable APIs in the cloud, and GraphQL makes it easy for frontend teams to consume these APIs and to iterate quickly on your product idea. Together, they are a perfect combination for a product-focused, full-stack team to deliver customer values quickly.
In this talk, see how we built a new social network mobile app in under 4 weeks using Lambda, AppSync, DynamoDB and Algolia. How we approached CI/CD, testing, authentication and lessons we learnt along the way.
Real-world serverless podcast: https://realworldserverless.com
Learn Lambda best practices: https://lambdabestpractice.com
Blog: https://theburningmonk.com
Consulting services: https://theburningmonk.com/hire-me
Production-Ready Serverless workshop: https://productionreadyserverless.com
Yan Cui - How to build observability into a serverless application - Codemoti...Codemotion
This document discusses building observability into serverless applications. It outlines challenges like not being able to install agents or do background processing in serverless functions. It then discusses approaches to implement logging, metrics, and distributed tracing in serverless using services like CloudWatch Logs, X-Ray, and structuring logs. The key is to do this with minimal overhead and in a way that works for asynchronous workflows between serverless functions.
Looking in from the outside, serverless seems so simple! And yet, many companies are struggling on their journey to serverless. In this webinar, AWS Serverless Hero Yan Cui highlights a number of common mistakes companies are making when they adopt serverless so you can avoid them.
Patterns and Practices for Building Resilient Serverless ApplicationsYan Cui
This document contains slides from a presentation on building resilient serverless applications. Some key points discussed include: designing applications to withstand failures through techniques like running in multiple availability zones and regions; handling failures from overloading, distributed systems, and timeouts; implementing patterns like decoupled invocation and sagas for distributed transactions; dealing with partial failures, retry storms, and poison messages; and performing chaos engineering experiments to identify weaknesses. The overall message is that failures will occur, so applications need to be designed to recover quickly from difficulties through resilience.
One of the most common performance issues in serverless architectures is elevated latencies from external services, such as DynamoDB, ElasticSearch or Stripe. In this webinar, we will focus on how to monitor, detect and fix latency issues that arise when our Lambda functions need to talk to other services.
Serverless technologies like AWS Lambda has drastically simplified the task of building reactive systems - drop a file into S3 and a Lambda function would be triggered to process it, push an event into a Kinesis stream and magically it'll be processed by a Lambda function in real-time, you can even use Lambda to automate the process of auditing and securing your account by automatically reacting to rule violations to your security policy.
Join us in this talk to see some architectural design patterns that have emerged with Lambda, and how to pick the right event source based on the tradeoffs you want. Here are a few patterns that we'll cover in the talk: pub-sub, cron, push-pull, saga and decoupled invocation.
Why your next serverless project should use AWS AppSyncYan Cui
In this webinar, Yan Cui and Lumigo Software Engineer Guy Moses will discuss some of the power of GraphQL and AppSync and why AppSync + Lambda + DynamoDB should be your stack of choice in 2021 and beyond!
In this talk, we will discuss some tips for alerting around your serverless application, and different approaches to troubleshooting issues in your serverless application: using first-party tools from AWS; using custom-built solutions; or using a serverless monitoring solution.
How to build a social network on serverlessYan Cui
Many people are building different workloads using serverless technologies these days, but how would a non-trivial system such as a social network look like on serverless?
In this talk Yan will discuss his journey of migrating a social network startup to serverless, and how his team was able to improve performance, scalability and feature delivery using serverless technologies.
Yan will discuss how serverless technologies such as Lambda are used to implement each part of their system, including search, push notifications, timeline, user recommendations, and business intelligence. If you're wondering how serverless can be used to solve a wide variety of challenges in your business, this is the talk for you.
Beware the potholes on the road to serverlessYan Cui
The document discusses various best practices and anti-patterns for serverless application development on AWS Lambda. Some of the key points discussed include:
1. Keep Lambda functions simple and single-purposed to avoid slow cold starts from too many dependencies.
2. Use separate AWS accounts for different teams and environments to avoid hitting shared resource limits and better compartmentalize security.
3. Research serverless services like SNS, SQS and Kinesis before building to understand their capabilities and use cases.
4. Use deployment frameworks to avoid console-driven development and simplify continuous deployment.
5. Consider monorepos or one repo per service for related functions rather than one repo per function.
6
Serverless in production, an experience report (FullStack 2018)Yan Cui
This document discusses considerations for making serverless applications production ready. It covers topics like testing, monitoring, logging, deployment pipelines, performance optimization, and security. The document emphasizes principles over specific tools, and recommends focusing on shipping working software through practices like embracing external services for testing instead of mocking.
Beware the potholes on the road to serverlessYan Cui
Looking in from the outside, serverless seems so simple! And yet, many companies are struggling on their journey to serverless. In this talk, I highlight a number of mistakes companies are making when they adopt serverless.
How to build observability into a serverless applicationYan Cui
Serverless introduces a number of challenges to existing tools for observability, we need to adapt our practices to fit this new paradigm. In this talk, we will discuss how we can build observability into a serverless application. We will see how you can implement log aggregation, distributed tracing and correlation IDs through both synchronous as well as asynchronous events.
Serverless in Production, an experience report (AWS UG South Wales)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Scott will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Front End Development for Back End Java Developers - West Midlands Java User ...Matt Raible
Are you a backend Java developer that's being pushed into front-end development? Are you frustrated with all the JavaScript frameworks and build tools you have to learn to be a good UI developer? If so, this session is for you! We'll explore the landscape of UI development, including web standards, frameworks, and what’s on the horizon (e.g., micro frontends).
Serverless in production, an experience report (London js community)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Diana will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Serverless in production, an experience report (microservices london)Yan Cui
AWS Lambda has changed the way we deploy and run software, but the serverless paradigm has created new challenges to old problems: How do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
Yan Cui shares solutions to these challenges, drawing on his experience running Lambda in production and migrating from an existing monolithic architecture.
A. De Biase/C. Quatrini/M. Barsocchi - API Release Process: how to make peopl...Codemotion
We would like to suggest a sustainable delivery process that defeated the chaos caused by their usage complexity and now stakeholders, business, developers, quality assurance and users are happier. Velocity + High Quality = $$$ How can you use this approach to improve your business? What are the reasons why our nerdy world is so resistant to speed up time to market? Come with us in a nice journey through our experience in Hotels.com. Virtualization, parallelism, containers and other nice stuff for a final demo.
Serverless in production, an experience report (BuildStuff)Yan Cui
This document provides a summary of best practices for deploying and managing applications on AWS Lambda. It discusses strategies for testing Lambda functions, including unit, integration and acceptance testing. It also covers logging, monitoring, distributed tracing, configuration management, avoiding cold starts, and other operational considerations like partial failures and hot Kinesis streams. The goal is to help developers build serverless applications on Lambda that are performant, robust, and cost-effective to operate at scale.
Building a social network in under 4 weeks with Serverless and GraphQLYan Cui
Serverless technologies drastically simplify the task of building modern, scalable APIs in the cloud, and GraphQL makes it easy for frontend teams to consume these APIs and to iterate quickly on your product idea. Together, they are a perfect combination for a product-focused, full-stack team to deliver customer values quickly.
In this talk, see how we built a new social network mobile app in under 4 weeks using Lambda, AppSync, DynamoDB and Algolia. How we approached CI/CD, testing, authentication and lessons we learnt along the way.
Recording of this talk is available at https://www.youtube.com/watch?v=evsz__BDprs
Real-world serverless podcast: https://realworldserverless.com
Learn Lambda best practices: https://lambdabestpractice.com
Blog: https://theburningmonk.com
Consulting services: https://theburningmonk.com/hire-me
Production-Ready Serverless workshop: https://productionreadyserverless.com
Build a social network in 4 weeks with Serverless and GraphQLYan Cui
This document discusses how to build a social network using serverless technologies like AWS AppSync, DynamoDB, Lambda and GraphQL within 4 weeks. It outlines the team and timeline used, as well as the serverless architecture built including services like Cognito, S3, Lambda and AppSync. It also discusses considerations around testing, deployment and security when using the Serverless framework to deploy the serverless application.
Building a full-stack app with Golang and Google Cloud Platform in one weekDr. Felix Raab
This document discusses building a full-stack application called MemeMail using Golang and Google Cloud Platform within one week. It describes choosing Google Cloud over other cloud providers for its ease of use. It then discusses the frontend implementation using Vue.js with a simple state mutation approach. The backend is built with Golang on App Engine using Cloud services like Datastore and Cloud Build for CI/CD. It emphasizes keeping the architecture simple rather than over-engineering for an MVP within a tight deadline.
This document provides lessons learned from running three AppSync projects in production over 18 months. It discusses preferences for using VTL over Lambda resolvers for CRUD operations due to VTL being faster, cheaper and simpler. It also recommends per-resolver caching over full request caching. Other tips include not leaving logging on full in production, handling user errors gracefully, planning for nested CloudFormation stacks for large projects, and modeling multi-tenancy using Cognito groups and attributes.
In this session, we'll talk about why Frontend Developers should care about serverless and how it gives frontend-focused teams the superpower to build scalable backend for their applications without all the traditional overhead of managing the infrastructure themselves.
- The document outlines strategies for scaling applications on Amazon Web Services (AWS) from a single instance to support millions of users.
- It describes starting with a single EC2 instance and database and scaling out by adding more instances, load balancers, and managed database services.
- The document recommends leveraging serverless architectures using services like AWS Lambda and managed services to build highly scalable and available applications without having to manage servers.
APIdays Barcelona 2019 - How to build a social network on Serverless with Yan...apidays
This document discusses how to build a social network using serverless architecture. It outlines reasons for using a serverless approach, including delivering better user experiences faster, delivering value faster, and being more cost efficient. It then describes how to build a social network serverlessly using microservices, event-driven architecture, and AWS Lambda. It provides examples of challenges overcome and benefits realized by a company that migrated an existing social network to serverless.
Containerize Legacy .NET Framework Web Apps for Cloud MigrationAmazon Web Services
In this session, we cover how to leverage Docker for Windows and the Amazon Elastic Container Service (Amazon ECS) as an effective solution for migrating legacy .NET applications to the cloud.We use Microsoft Visual Studio to demonstrate how to containerize a legacy .NET app including the Docker build and deployment process.We also cover how to deploy the container to Amazon ECS using the Amazon EC2 Container Registry (Amazon ECR) service to host the Docker image.
Japanese Startup Use-Cases and Tech Deep DiveEiji Shinohara
This document discusses how Japanese startups are using Amazon Web Services (AWS). It provides examples of architectures that startups are using on AWS to build scalable and reliable applications. It also describes some events for startup CTOs hosted by AWS to facilitate knowledge sharing. Finally, it shares real use cases of Japanese startups leveraging different AWS services like EC2, RDS, S3, CloudFront, and CloudSearch to build their applications and handle traffic bursts.
Containerize Legacy .NET Framework Web Apps for Cloud Migration (WIN305) - AW...Amazon Web Services
In this session, we cover how to leverage Docker for Windows and the Amazon Elastic Container Service (Amazon ECS) as an effective solution for migrating legacy .NET applications to the cloud. We use Microsoft Visual Studio to demonstrate how to containerize a legacy .NET app including the Docker build and deployment process. We also cover how to deploy the container to Amazon ECS using the Amazon EC2 Container Registry (Amazon ECR) service to host the Docker image.
Serverless technologies like AWS Lambda has drastically simplified the task of building reactive systems - drop a file into S3 and a Lambda function would be triggered to process it, push an event into a Kinesis stream and magically it'll be processed by a Lambda function in real-time, you can even use Lambda to automate the process of auditing and securing your AWS account by automatically reacting to rule violations to your security policy.
Join us in this talk to see some architectural design patterns that have emerged with AWS Lambda, and learn how to pick the right event source based on the tradeoffs you want. Amongst the many patterns we'll explore, here are a few to whet your appetite : pub-sub, cron, push-pull, saga and decoupled invocation.
by Andy Mui, Solutions Architect, AWS
Join this workshop to get hands-on experience deploying Docker containers as you break an aging monolithic application into containerized microservices. Using Amazon ECS and the Application Load Balancer, you will create API-based microservices and deploy them leveraging integrations with other AWS services.
From Monolith to Microservices (And All the Bumps along the Way) (CON360-R1) ...Amazon Web Services
Applications built on a microservices-based architecture and packaged as containers bring several benefits to your organization. In this session, Duolingo, a popular language-learning platform and an Amazon ECS customer, describes its journey from a monolith to a microservices architecture. We highlight the hurdles you may encounter, discuss how to plan your migration to microservices, and explain how you can use Amazon ECS to manage this journey.
Two large enterprise AEM implementations were presented and compared. Anshul Chhabra from Symantec presented their implementation handling 3.3 billion requests per month. Anil Kalbag from Cisco presented their implementation handling 375 million monthly page views. Both implementations utilized multiple data centers for high availability and disaster recovery. Key architecture decisions around virtual/physical infrastructure, storage, caching, and multi-tenancy were discussed and compared between the two organizations.
Following simple patterns of good application design can allow you to scale your application for your customers easily. We'll dive into the 12 factor application design and demo how this applies to containers and deployments on Amazon ECS and Fargate. We'll take a look at tooling that can be used to simplfy your work flow and help you adopt the principles of the 12 factor application.
NY WebPerf Sept '22 - Performance Mistakes - An HTTP Archive Deep DivePaul Calvano
Web performance is a complicated topic, but over the years it’s become easier to articulate thanks to incredible advancements in performance features, their adoption in the browser ecosystem and tools that test and give insight into which techniques might speed up your site.
However, all too often a feature is implemented incorrectly, resulting in a lost opportunity for performance improvement. During this talk I’d like to explore a few common web performance techniques - some that you are likely already familiar with. We’ll dive into HTTP Archive data to find some examples of sites that are using them incorrectly, and explore the impact and potential benefits of fixing them.
https://www.meetup.com/web-performance-ny/events/286338923/
Following simple patterns of good application design can allow you to scale your application for your customers easily. We'll dive into the 12 factor application design and demo how this applies to containers and deployments on Amazon ECS and Fargate. We'll take a look at tooling that can be used to simplify your work flow and help you adopt the principles of the 12 factor application.
DevOps Pipelines and Metrics Driven Feedback LoopsAndreas Grabner
The goal behind devops is Faster Lead Times
What this really means for Software Delivery -> my Kodak/Smart Phone Analogy
How and Which Metrics to use along the Delivery Pipeline to make better decisions along the way.
How to build unified Batch & Streaming Pipelines with Apache Beam and DataflowDaniel Zivkovic
Apache Beam is a beautiful framework that blurs the line between Batch and Streaming, so check out this interactive tutorial by Patrick Lecuyer - Head of Specialist Customer Engineering at Google Canada. His examples run on GCP Dataflow, but what you'll learn will be portable across clouds, and distributed processing engines like Apache Flink, Apache Samza, Apache Spark, IBM Streams... regardless of where you do your Big Data processing!
The meetup recording with TOC for easy navigation is at https://youtu.be/7pUYKX40RfA.
P.S. For more interactive lectures like this, go to http://youtube.serverlesstoronto.org/ or sign up for our upcoming live events at https://www.meetup.com/Serverless-Toronto/events/
Similar to Building a social network in under 4 weeks with Serverless and GraphQL (20)
Delivered at the Serverless Summit 2022. Learn how to design serverless systems and tip the balance of trade-offs in your favour.
To learn how to build production-grade serverless applications, check out my upcoming workshops at productionreadyserverless.com and get 15% off with the code "serverlesssummit22".
At the heart of every event-driven architecture is a conduit for messages to flow through. AWS offers many services that can act as such conduit - EventBridge, SNS, SQS, Kinesis, DynamoDB streams, MSK, IOT Core and Amazon MQ just to name a few! These services have different characteristics and trade-offs around performance, scalability and cost. Picking the right service for your workload is not always easy. In this talk, let’s talk about how to pick the right messaging service to use in your event-driven architecture and play the game of trade-offs to your advantage.
How to choose the right messaging service for your workloadYan Cui
At the heart of every event-driven architecture is a conduit for messages to flow through. AWS offers many services that can act as such conduit - EventBridge, SNS, SQS, Kinesis, DynamoDB streams, MSK, IOT Core and Amazon MQ just to name a few! These services have different characteristics and trade-offs around performance, scalability and cost. Picking the right service for your workload is not always easy. In this talk, let’s talk about how to pick the right messaging service to use in your event-driven architecture and play the game of trade-offs to your advantage.
This document contains a summary of best practices for using Lambda and DynamoDB presented by Yan Cui. Some key recommendations include implementing observability from the start by using metrics and alerts to monitor performance, creating separate AWS accounts for each team and environment, loading secrets securely from SSM Parameter Store at runtime, following the principle of least privilege with IAM policies, parallelizing functions where possible, and various DynamoDB optimizations like using DocumentClient and PAY_PER_REQUEST billing. The document emphasizes that best practices depend on individual contexts and situations.
How to ship customer value faster with step functionsYan Cui
Learn all about AWS Step Functions and how to use them to model business workflows and ship customer values quickly. In this session, we will talk about what is Step Functions, how to model business workflows as state machines, real-world case studies, and design patterns. By the end of this webinar, you should have a good idea of where Step Functions fit into your application and why you should use them (and why not!) to model workflows instead of building a custom solution yourself.
One of the key characteristics of serverless components is the pay-per-use pricing model. For example, with AWS Lambda, you don’t pay for the uptime of the underlying infrastructure but for the no. of invocations and how long your code actually runs for.
This important characteristic removes the need for many premature micro-optimizations as your cost is always tightly linked to usage and minimizes waste. As a result, many applications would run at a fraction of the cost if they were moved to serverless.
The pay-per-use pricing model also enables more accurate cost prediction and monitoring based on your application’s throughput. This gives rise to the notion of FinDev, where finance and development can intersect and allows optimization to be targeted to give the optimal return-on-invest on the engineering efforts.
And by building your application on serverless components, you can also leverage it as a business advantage and offer a more competitive, usage-based pricing to your customers. Which is going to be crucial at a time when businesses all around the world are affected by COVID and are looking for better efficiencies.
In this webinar, we will cover topics such as:
- How does the cost of serverless differ from serverful applications?
- How to predict and monitor cost in serverless applications?
- When should you optimize for cost?
- How can you leverage usage-based pricing as a business advantage?
FinDev as a business advantage in the post covid19 economyYan Cui
The document discusses how businesses can gain a competitive advantage in the post-COVID economy through the use of serverless technologies on AWS. It notes that consumers and businesses will have less revenue due to the pandemic, requiring companies to become more efficient. Serverless computing allows companies to focus on business logic rather than infrastructure management and reduces costs since customers only pay for resources used. This creates an opportunity for new variable cost business models and more agile, competitive companies through the use of serverless technologies like AWS Lambda and API Gateway.
AWS has improved Lambda cold starts by leaps and bounds in the last year. But for performance-sensitive applications such as user-facing APIs, Lambda cold starts are still a thorn in one’s side, especially when working with languages such as Java and .Net Core.
In this webinar, we will dive into strategies for improving cold start latency and how to mitigate them altogether with Provisioned Concurrency, and how Lumigo helps you optimize your use of Provisioned Concurrency.
In this session, we will look at 10 common use cases for AWS Lambda such as REST APIs, WebSockets, IoT and building event-driven systems. We will also touch on some of the latest platform features such as Provisioned Concurrency, EFS integration and Lambda Destinations and when and where we should use them.
A chaos experiment a day, keeping the outage awayYan Cui
Presented at ServerlessDays Warsaw
Recording: https://youtu.be/21HprKZQczs
You might have heard about chaos engineering in the context of Netflix and Amazon, and how they kill EC2 servers in production at random to verify that their systems can stay up in the face of infrastructure failures. But did you know that the same ideas can be applied to serverless applications? Yes, despite not having access to the underlying servers, we can still apply principles of chaos engineering to uncover failure modes in our system (and there are plenty!) so we can build defence against them and make our serverless applications more robust and more resilient!
One of the most common performance issues in serverless architectures is elevated latencies from external services, such as DynamoDB, ElasticSearch or Stripe.
In this webinar, we will show you how to quickly identify and debug these problems, and some best practices for dealing with poor performing 3rd party services.
How to ship customer value faster with step functionsYan Cui
In this talk, I'm gonna tell you all about AWS Step Functions - how it works, when to use it, and some tips on how to accelerate app development so you can ship customer values faster.
Recording: coming soon
Real-world serverless podcast: https://realworldserverless.com
Learn Lambda best practices: https://lambdabestpractice.com
Blog: https://theburningmonk.com
Consulting services: https://theburningmonk.com/hire-me
Production-Ready Serverless workshop: https://productionreadyserverless.com
When a Lambda function times out, it’s one of the trickier problems to debug, especially if the function performs multiple IO calls. What was it doing when it timed out? And how do I identify these timeout errors quickly when Lambda lumps them together with other unhandled exceptions?
In this webinar, we will show you how to identify and debug timeout errors, and strategies for mitigating timeouts and degraded performance more gracefully when there are underlying issues.
Serverless Security: Defence Against the Dark ArtsYan Cui
The document discusses security best practices for serverless applications. It emphasizes that application dependencies represent a large attack surface and inputs/outputs should be sanitized. The least privilege principle and compartmentalization are important, as is encrypting data at rest and in transit. Unused functions should be deleted, and threats like DoS attacks and credential theft should be guarded against. People can be the weakest link, so secure credentials and implement authentication. The document provides resources for further reading on these topics.
The document discusses serverless computing and various use cases for it. It begins by explaining what serverless means, which is not having to manage servers yourself and only paying for resources when they are used. Various AWS serverless services are then mentioned like API Gateway, Lambda, DynamoDB, S3, etc. Common questions around serverless are addressed such as how to handle websockets, cold starts, data pipelines, business workflows, and video encoding. Use cases covered include REST APIs, real-time apps, big data processing, and devops automation.
Mastering AWS Organizations with Infrastructure as codeYan Cui
In this webinar, we will take a deep dive into AWS Organizations, what it is, and why you should use it. We will review how to use the open-source tool org-formation to manage your entire AWS Organization using infrastructure-as-code.
7 Most Powerful Solar Storms in the History of Earth.pdfEnterprise Wired
Solar Storms (Geo Magnetic Storms) are the motion of accelerated charged particles in the solar environment with high velocities due to the coronal mass ejection (CME).
Comparison Table of DiskWarrior Alternatives.pdfAndrey Yasko
To help you choose the best DiskWarrior alternative, we've compiled a comparison table summarizing the features, pros, cons, and pricing of six alternatives.
Mitigating the Impact of State Management in Cloud Stream Processing SystemsScyllaDB
Stream processing is a crucial component of modern data infrastructure, but constructing an efficient and scalable stream processing system can be challenging. Decoupling compute and storage architecture has emerged as an effective solution to these challenges, but it can introduce high latency issues, especially when dealing with complex continuous queries that necessitate managing extra-large internal states.
In this talk, we focus on addressing the high latency issues associated with S3 storage in stream processing systems that employ a decoupled compute and storage architecture. We delve into the root causes of latency in this context and explore various techniques to minimize the impact of S3 latency on stream processing performance. Our proposed approach is to implement a tiered storage mechanism that leverages a blend of high-performance and low-cost storage tiers to reduce data movement between the compute and storage layers while maintaining efficient processing.
Throughout the talk, we will present experimental results that demonstrate the effectiveness of our approach in mitigating the impact of S3 latency on stream processing. By the end of the talk, attendees will have gained insights into how to optimize their stream processing systems for reduced latency and improved cost-efficiency.
Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.
Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Em...Erasmo Purificato
Slide of the tutorial entitled "Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends" held at UMAP'24: 32nd ACM Conference on User Modeling, Adaptation and Personalization (July 1, 2024 | Cagliari, Italy)
論文紹介:A Systematic Survey of Prompt Engineering on Vision-Language Foundation ...Toru Tamaki
Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023
https://arxiv.org/abs/2307.12980
Support en anglais diffusé lors de l'événement 100% IA organisé dans les locaux parisiens d'Iguane Solutions, le mardi 2 juillet 2024 :
- Présentation de notre plateforme IA plug and play : ses fonctionnalités avancées, telles que son interface utilisateur intuitive, son copilot puissant et des outils de monitoring performants.
- REX client : Cyril Janssens, CTO d’ easybourse, partage son expérience d’utilisation de notre plateforme IA plug & play.
YOUR RELIABLE WEB DESIGN & DEVELOPMENT TEAM — FOR LASTING SUCCESS
WPRiders is a web development company specialized in WordPress and WooCommerce websites and plugins for customers around the world. The company is headquartered in Bucharest, Romania, but our team members are located all over the world. Our customers are primarily from the US and Western Europe, but we have clients from Australia, Canada and other areas as well.
Some facts about WPRiders and why we are one of the best firms around:
More than 700 five-star reviews! You can check them here.
1500 WordPress projects delivered.
We respond 80% faster than other firms! Data provided by Freshdesk.
We’ve been in business since 2015.
We are located in 7 countries and have 22 team members.
With so many projects delivered, our team knows what works and what doesn’t when it comes to WordPress and WooCommerce.
Our team members are:
- highly experienced developers (employees & contractors with 5 -10+ years of experience),
- great designers with an eye for UX/UI with 10+ years of experience
- project managers with development background who speak both tech and non-tech
- QA specialists
- Conversion Rate Optimisation - CRO experts
They are all working together to provide you with the best possible service. We are passionate about WordPress, and we love creating custom solutions that help our clients achieve their goals.
At WPRiders, we are committed to building long-term relationships with our clients. We believe in accountability, in doing the right thing, as well as in transparency and open communication. You can read more about WPRiders on the About us page.
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - MydbopsMydbops
This presentation, delivered at the Postgres Bangalore (PGBLR) Meetup-2 on June 29th, 2024, dives deep into connection pooling for PostgreSQL databases. Aakash M, a PostgreSQL Tech Lead at Mydbops, explores the challenges of managing numerous connections and explains how connection pooling optimizes performance and resource utilization.
Key Takeaways:
* Understand why connection pooling is essential for high-traffic applications
* Explore various connection poolers available for PostgreSQL, including pgbouncer
* Learn the configuration options and functionalities of pgbouncer
* Discover best practices for monitoring and troubleshooting connection pooling setups
* Gain insights into real-world use cases and considerations for production environments
This presentation is ideal for:
* Database administrators (DBAs)
* Developers working with PostgreSQL
* DevOps engineers
* Anyone interested in optimizing PostgreSQL performance
Contact info@mydbops.com for PostgreSQL Managed, Consulting and Remote DBA Services
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
Kief Morris rethinks the infrastructure code delivery lifecycle, advocating for a shift towards composable infrastructure systems. We should shift to designing around deployable components rather than code modules, use more useful levels of abstraction, and drive design and deployment from applications rather than bottom-up, monolithic architecture and delivery.
UiPath Community Day Kraków: Devs4Devs ConferenceUiPathCommunity
We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner!
We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too!
Check out our proposed agenda below 👇👇
08:30 ☕ Welcome coffee (30')
09:00 Opening note/ Intro to UiPath Community (10')
Cristina Vidu, Global Manager, Marketing Community @UiPath
Dawid Kot, Digital Transformation Lead @Proservartner
09:10 Cloud migration - Proservartner & DOVISTA case study (30')
Marcin Drozdowski, Automation CoE Manager @DOVISTA
Pawel Kamiński, RPA developer @DOVISTA
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
09:40 From bottlenecks to breakthroughs: Citizen Development in action (25')
Pawel Poplawski, Director, Improvement and Automation @McCormick & Company
Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company
10:05 Next-level bots: API integration in UiPath Studio (30')
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
10:35 ☕ Coffee Break (15')
10:50 Document Understanding with my RPA Companion (45')
Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath
11:35 Power up your Robots: GenAI and GPT in REFramework (45')
Krzysztof Karaszewski, Global RPA Product Manager
12:20 🍕 Lunch Break (1hr)
13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30')
Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance
13:50 Communications Mining - focus on AI capabilities (30')
Thomasz Wierzbicki, Business Analyst @Office Samurai
14:20 Polish MVP panel: Insights on MVP award achievements and career profiling
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
Advanced Techniques for Cyber Security Analysis and Anomaly DetectionBert Blevins
Cybersecurity is a major concern in today's connected digital world. Threats to organizations are constantly evolving and have the potential to compromise sensitive information, disrupt operations, and lead to significant financial losses. Traditional cybersecurity techniques often fall short against modern attackers. Therefore, advanced techniques for cyber security analysis and anomaly detection are essential for protecting digital assets. This blog explores these cutting-edge methods, providing a comprehensive overview of their application and importance.
Details of description part II: Describing images in practice - Tech Forum 2024BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and transcript: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
Implementations of Fused Deposition Modeling in real worldEmerging Tech
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
55. @theburningmonk theburningmonk.com
AWS AppSync
scalable & multi-az out of the box
pay as you use ($4.00 per Million)
built-in caching (extra $)
built-in metrics through CloudWatch
built-in logging through CloudWatch Logs
63. @theburningmonk theburningmonk.com
AWS AppSync
scalable & multi-az out of the box
pay as you use ($4.00 per Million)
built-in caching (extra $)
built-in metrics through CloudWatch
built-in logging through CloudWatch Logs
no servers to manage
120. not much point with local testing as they’re very
simple and has no dynamic behaviour, once you
figure out the “pattern” they just works
for AppSync resolvers
121. test integration with other services (e.g. DynamoDB,
Algolia) by executing function locally, but talk to the
real DynamoDB & Algolia
for Lambda
122. E2E test - execute user stories against
deployed GraphQL endpoints