Learn how to build advanced GraphQL queries, how to work with filters and patches and how to embed GraphQL in languages like Python and Java. These slides are the second set in our webinar series on GraphQL.
Continuous mobile automation in build pipelinedm l
Talk at Test Automation Day 2018, Berlin, Germany. Its about how to integration Appium tests in Android build pipeline and run them on every merge request in Gitlab CI.
Using restful APIs can be hard on your React applications. Before you know it, you are doing lots of parallel queries to the server. Using GraphQL instead of REST might help a lot. Instead of downloading many complete resources each component declares its own needs. Then the GraphQL client library then combines these requirements. The result is a single optimized query for the server. In this session, Maurice de Beijer is going to show you how to get started with GraphQL in you React applications.
https://rome2018.codemotionworld.com/
There are a lot of tools and processes involved in modern front-end development: Component development, design, data fetching, testing, and more. At Stripe, our team have put a lot of effort into making these things work together in a way that's more than the sum of their parts.
Using restful APIs can be hard on your React applications. Before you know it, you are doing lots of parallel queries to the server. Using GraphQL instead of REST might help a lot. Instead of downloading many complete resources each component declares its own needs. Then the GraphQL client library then combines these requirements. The result is a single optimized query for the server. In this session, Maurice de Beijer is going to show you how to get started with GraphQL in your React applications.
Learn how to build advanced GraphQL queries, how to work with filters and patches and how to embed GraphQL in languages like Python and Java. These slides are the second set in our webinar series on GraphQL.
Continuous mobile automation in build pipelinedm l
Talk at Test Automation Day 2018, Berlin, Germany. Its about how to integration Appium tests in Android build pipeline and run them on every merge request in Gitlab CI.
Using restful APIs can be hard on your React applications. Before you know it, you are doing lots of parallel queries to the server. Using GraphQL instead of REST might help a lot. Instead of downloading many complete resources each component declares its own needs. Then the GraphQL client library then combines these requirements. The result is a single optimized query for the server. In this session, Maurice de Beijer is going to show you how to get started with GraphQL in you React applications.
https://rome2018.codemotionworld.com/
There are a lot of tools and processes involved in modern front-end development: Component development, design, data fetching, testing, and more. At Stripe, our team have put a lot of effort into making these things work together in a way that's more than the sum of their parts.
Using restful APIs can be hard on your React applications. Before you know it, you are doing lots of parallel queries to the server. Using GraphQL instead of REST might help a lot. Instead of downloading many complete resources each component declares its own needs. Then the GraphQL client library then combines these requirements. The result is a single optimized query for the server. In this session, Maurice de Beijer is going to show you how to get started with GraphQL in your React applications.
At the CodeTalks conference 2017 in Hamburg, LeanIX presented their lessons learned for GraphQL, a new alternative for building REST APIs which was introduced by Facebook.
GraphQL is quickly becoming mainstream as one of the best ways to get data into your React application. When we see people modernize their app architecture and move to React, they often want to migrate their API to GraphQL as part of the same effort. But while React is super easy to adopt in a small part of your app at a time, GraphQL can seem like a much larger investment. In this talk, we’ll go over the fastest and most effective ways for React developers to incrementally migrate their existing APIs and backends to GraphQL, then talk about opportunities for improvement in the space. If you’re using React and are interested in GraphQL, but are looking for an extra push to get it up and running at your company, this is the talk for you!
GraphQL can be one of the best ways to make your product development more fun and productive. In this presentation I talk about how GraphQL makes your life simpler, and how to write and deploy a GraphQL API with Apollo Server 2.0 and serverless deployment via Netlify Functions.
GraphQL: The Missing Link Between Frontend and Backend DevsSashko Stubailo
Engineers working on backend data services are often focused on operational concerns like data consistency, reliability, uptime, and storage efficiency. Because each situation calls for a specific set of tradeoffs, one organization can end up with a diverse set of backend databases and services. For the people building the UI and frontend API layers, this diversity can quickly become an issue, especially if the same client needs to call into multiple backends or fetch related objects across different data sources.
GraphQL is a language-agnostic API gateway technology designed precisely to solve this mismatch between backend and frontend requirements. It provides a highly structured, yet flexible API layer that lets the client specify all of its data requirements in one GraphQL query, without needing to know about the backend services being accessed. Better yet, because of the structured, strongly typed nature of both GraphQL queries and APIs, it's possible to quickly get critical information, such as which objects and fields are accessed by which frontends, which clients will be affected by specific changes to the backend, and more.
In this talk, I'll explain what GraphQL is, what data management problems it can solve in an organization, and how you can try it today.
This is a hands on workshop where we build a real time serverles polling application that can easily scale to millions of request with no extra configuration. This is built using AWS Amplify, AWS AppSync and DynamoDB
This session will explore a mobile app that can read NFC tags embedded in conference badges, and then translate those to sales leads stored directly in popular SaaS CRM providers. To accomplish this, we will see how to build a custom Push Trigger API App for a Logic App, and then how to invoke a callback from a mobile device. We will also configure the Logic App to receive device events and provide integration with SaaS applications such as Salesforce. Once we have the basics established, we'll dip briefly into the world of Windows IoT to explore a push-button push trigger.
GraphQL is a wonderful abstraction for describing and querying data. Apollo is an ambitious project to help you build apps with GraphQL. In this talk, we'll go over how all the parts—Client, Server, Dev Tools, Codegen, and more—create an end-to-end experience for building apps on top of any data.
## Detailed description
In today's development ecosystem, there are tons of options for almost every part of your application development process: UI rendering, styling, server side rendering, build systems, type checking, databases, frontend data management, and more. However, there's one part of the stack that hasn't gotten as much love in the last decade, because it usually falls in the cracks between frontend and backend developers: Data fetching.
The most common way to load data in apps today is to use a REST API on the server and manage the data manually on the client. Whether you're using Redux, MobX, or something else, you're usually doing everything yourself—deciding when to load data, how to keep it fresh, updating the store after sending updates to the server, and more. But if you're trying to develop the best user experience for your app, all of that gets in the way; you shouldn't have to become a systems engineer to create a great frontend. The Apollo project is based on the belief that data loading doesn't have to be complicated; instead, you should be able to easily get the data you want, when you want it, and it should be managed for you just like React manages updating your UI.
Because data loading touches both the frontend and backend of your app, GraphQL and Apollo have to include many parts to fulfill that promise of being able to seamlessly connect your data together. First, we need client libraries not only for React and JavaScript, but also for native iOS and Android. Then, we must bring server-side support for GraphQL queries, mutations, and most recently subscriptions to every server technology and make those servers easier to write. And finally, we want not only all of the tools that people are used to with REST APIs, but many more thanks to all of the capabilities enabled by GraphQL.
In this talk, we'll go over all of the parts of a GraphQL-oriented app architecture, and how different GraphQL and Apollo technologies come together to solve all of the parts of data loading and management for React developers.
This Slid shows the GraphQL Fundamentals, cover below points.
* what: what is GraphQL
* who: Who builds GraphQL
* why: Why we need GraphQL
* how: How to use GraphQL
IT also cover
* Application Programming Interface (API History Image )
* Principles of REST API Design
* REST Flow / GraphQL Flow diagram
* Rest Traditional Data fetching.
* REST vs GraphQL
* Browser Tools
* GraphQL Mutation
* GraphQL Variables
* GraphQL Fragments
* Pain Points of GraphQL
At the CodeTalks conference 2017 in Hamburg, LeanIX presented their lessons learned for GraphQL, a new alternative for building REST APIs which was introduced by Facebook.
GraphQL is quickly becoming mainstream as one of the best ways to get data into your React application. When we see people modernize their app architecture and move to React, they often want to migrate their API to GraphQL as part of the same effort. But while React is super easy to adopt in a small part of your app at a time, GraphQL can seem like a much larger investment. In this talk, we’ll go over the fastest and most effective ways for React developers to incrementally migrate their existing APIs and backends to GraphQL, then talk about opportunities for improvement in the space. If you’re using React and are interested in GraphQL, but are looking for an extra push to get it up and running at your company, this is the talk for you!
GraphQL can be one of the best ways to make your product development more fun and productive. In this presentation I talk about how GraphQL makes your life simpler, and how to write and deploy a GraphQL API with Apollo Server 2.0 and serverless deployment via Netlify Functions.
GraphQL: The Missing Link Between Frontend and Backend DevsSashko Stubailo
Engineers working on backend data services are often focused on operational concerns like data consistency, reliability, uptime, and storage efficiency. Because each situation calls for a specific set of tradeoffs, one organization can end up with a diverse set of backend databases and services. For the people building the UI and frontend API layers, this diversity can quickly become an issue, especially if the same client needs to call into multiple backends or fetch related objects across different data sources.
GraphQL is a language-agnostic API gateway technology designed precisely to solve this mismatch between backend and frontend requirements. It provides a highly structured, yet flexible API layer that lets the client specify all of its data requirements in one GraphQL query, without needing to know about the backend services being accessed. Better yet, because of the structured, strongly typed nature of both GraphQL queries and APIs, it's possible to quickly get critical information, such as which objects and fields are accessed by which frontends, which clients will be affected by specific changes to the backend, and more.
In this talk, I'll explain what GraphQL is, what data management problems it can solve in an organization, and how you can try it today.
This is a hands on workshop where we build a real time serverles polling application that can easily scale to millions of request with no extra configuration. This is built using AWS Amplify, AWS AppSync and DynamoDB
This session will explore a mobile app that can read NFC tags embedded in conference badges, and then translate those to sales leads stored directly in popular SaaS CRM providers. To accomplish this, we will see how to build a custom Push Trigger API App for a Logic App, and then how to invoke a callback from a mobile device. We will also configure the Logic App to receive device events and provide integration with SaaS applications such as Salesforce. Once we have the basics established, we'll dip briefly into the world of Windows IoT to explore a push-button push trigger.
GraphQL is a wonderful abstraction for describing and querying data. Apollo is an ambitious project to help you build apps with GraphQL. In this talk, we'll go over how all the parts—Client, Server, Dev Tools, Codegen, and more—create an end-to-end experience for building apps on top of any data.
## Detailed description
In today's development ecosystem, there are tons of options for almost every part of your application development process: UI rendering, styling, server side rendering, build systems, type checking, databases, frontend data management, and more. However, there's one part of the stack that hasn't gotten as much love in the last decade, because it usually falls in the cracks between frontend and backend developers: Data fetching.
The most common way to load data in apps today is to use a REST API on the server and manage the data manually on the client. Whether you're using Redux, MobX, or something else, you're usually doing everything yourself—deciding when to load data, how to keep it fresh, updating the store after sending updates to the server, and more. But if you're trying to develop the best user experience for your app, all of that gets in the way; you shouldn't have to become a systems engineer to create a great frontend. The Apollo project is based on the belief that data loading doesn't have to be complicated; instead, you should be able to easily get the data you want, when you want it, and it should be managed for you just like React manages updating your UI.
Because data loading touches both the frontend and backend of your app, GraphQL and Apollo have to include many parts to fulfill that promise of being able to seamlessly connect your data together. First, we need client libraries not only for React and JavaScript, but also for native iOS and Android. Then, we must bring server-side support for GraphQL queries, mutations, and most recently subscriptions to every server technology and make those servers easier to write. And finally, we want not only all of the tools that people are used to with REST APIs, but many more thanks to all of the capabilities enabled by GraphQL.
In this talk, we'll go over all of the parts of a GraphQL-oriented app architecture, and how different GraphQL and Apollo technologies come together to solve all of the parts of data loading and management for React developers.
This Slid shows the GraphQL Fundamentals, cover below points.
* what: what is GraphQL
* who: Who builds GraphQL
* why: Why we need GraphQL
* how: How to use GraphQL
IT also cover
* Application Programming Interface (API History Image )
* Principles of REST API Design
* REST Flow / GraphQL Flow diagram
* Rest Traditional Data fetching.
* REST vs GraphQL
* Browser Tools
* GraphQL Mutation
* GraphQL Variables
* GraphQL Fragments
* Pain Points of GraphQL
AWS re:Invent 2016: Enabling DevOps for an Enterprise with AWS Service Catalo...Amazon Web Services
As incumbent enterprises move to the cloud, questions arise how transform the legacy IT culture to maximize the agility and flexibility AWS provides. Speed and dexterity must be implemented in a consistent manner, minimizing the impact to the organizational structure, but taking into account the existing skill sets and knowledge base. With AWS Service Catalog, you can manage commonly deployed AWS CloudFormation template versions, enable controlled self-provisioning, and leverage those same products in your automated deployment pipelines to AWS. In this session, developers, operations leads, architects, and IT managers learn how to leverage AWS Service Catalog and AWS CloudFormation to transform IT culture to maximize the agility, flexibility, and value that the AWS platform provides. Additionally, John Wiley & Sons, a 200-year-old enterprise, demonstrates how AWS Professional Services helped them balance the velocity achieved by moving to AWS with a structured governance model to deploy their cloud infrastructure and application code.
Your API on Steroids - Retrofitting GraphQL by Code, Cloud Native or ServerlessQAware GmbH
OOP 2023, Online, Februar 2023, Sonja Wegner (Lead Software Architect @QAware) & Stefan Schmöller (Senior Software Engineer @QAware).
== Dokument bitte herunterladen, falls unscharf! Please download slides if blurred! ==
With GraphQL a modern and flexible way of providing APIs for our data is emerging.
The clients specify which data they need, the provisioning of data becomes more flexible and dynamic. Over-fetching or under-fetching are history.
But does this mean we have to rewrite all APIs to benefit? How can we retrofit a GraphQL API onto our existing API landscape?
In this talk we explore three different alternatives:
- The Developer Way: Writing a GraphQL API layer by hand
- The Cloud-native Way: Using lightweight API gateways such as Gloo or Tyk
- The Serverless Way: Using Cloud Provider native services
We will look at all three approaches conceptually and justify when and why each makes sense. Additionally, we will show in a live demo how GraphQL APIs can be added to an existing REST API.
How to provide a GraphQL API - I want it that wayQAware GmbH
Codineers Rosenheim Meetup, März 2023, Stefan Schmöller (Senior Software Engineer @QAware GmbH
== Dokument bitte herunterladen, falls unscharf! Please download slides if blurred! ==
Having your clients being able to dynamically define the structure of required data, which is then returned by the server.
Over-fetching and under-fetching are history
Hackazon is a free, vulnerable test site that is an online storefront built with the same technologies used in today’s rich client and mobile applications. Hackazon has an AJAX interface, strict workflows and RESTful API’s used by a companion mobile app providing uniquely-effective training and testing ground for IT security professionals. And, it’s full of your favorite vulnerabilities like SQL Injection, cross-site scripting and so on.
Apica gives enterprise customers the most comprehensive performance testing and monitoring tools, the largest testing and monitoring network, and access to battle-tested performance professionals.
BetterCode API, März 2023, Sonja Wegner (Lead Software Architect @QAware)
== Dokument bitte herunterladen, falls unscharf! Please download slides if blurred! ==
With GraphQL a modern and flexible way of providing APIs for our data is emerging.
The clients specify which data they need, the provisioning of data becomes more flexible and dynamic. Over-fetching or under-fetching are history.
But does this mean we have to rewrite all APIs to benefit? How can we retrofit a GraphQL API onto our existing API landscape?
In this talk we explore three different alternatives:
- The Developer Way: Writing a GraphQL API layer by hand
- The Cloud-native Way: Using lightweight API gateways such as Gloo or Tyk
- The Serverless Way: Using Cloud Provider native services
We will look at all three approaches conceptually and justify when and why each makes sense. Additionally, we will show in a live demo how GraphQL APIs can be added to an existing REST API.
Serverless Angular, Material, Firebase and Google Cloud applicationsLoiane Groner
Presented at DevFest Florida 2019 - January 19, Orlando, FL.
In this talk we'll learn how to use all the power of Google stack technologies (Angular, Material, Firebase and Google Cloud) to develop a full stack application. We'll learn how we can empower a serverless Angular + Material application with Firebase and reactive programming by using realtime database, Firestore, authentication (with different providers) and Firebase hosting. And we if need any other functionality, we can use Cloud Functions or a NodeJS app. This talk will demonstrate the overview of a real world application (40k users), along with CI configuration and some details of the code (the good parts!).
A full course about asp.net mvc 5 in Arabic. You can watch on my youtube channel https://www.youtube.com/watch?v=jrhdXwuyrfs&list=PLAPpPaAUVQyZJvtvWH9eOJcVkj7NLPQLk
Managing the deployment of code to multiple AWS Lambda functions and updating your API Gateway methods can be manual and time consuming.
In this session, we will show you how to build a deployment pipeline to AWS Lambda using AWS CodePipeline, a continuous delivery service based on Amazon’s internal release automation tooling. We will discuss how to use versioning, which enables you to better manage the different variations of your Lambda functions and API Gateway methods in your development workflow (e.g., development, staging, and production). We will walk through how to automate the entire release process of your application from development, to staging, and finally to production; performing automated integration tests at each stage.
GraphQL is an emerging query manipulation language for APIs. It is an open source runtime for querying and retrieving existing data in an optimal manner making applications more efficient. With the flexibility it offers over REST APIs, many organizations are now interested in and are adopting GraphQL applications widely.
While GraphQL focuses on what it does best, backend developers still worry about ensuring their GraphQL services are exposed in a secure, controlled, monitored, and sometimes, even in a monetized environment. This is where an API gateway is useful as the middle layer to provide a significant value to GraphQL queries, mutations, and subscriptions.
This slide deck will discuss the following:
- An introduction to GraphQL
- Why and when to use GraphQL APIs
- Exposing GraphQL service as managed APIs: The necessity of an API Manager
- Deploying a GraphQL service via WSO2 API Manager : Security, authentication, authorization, and rate-limiting
- Invoking GraphQL APIs via the integrated GraphiQL UI in Developer Portal
- GraphQL Analytics
Watch the webinar on-demand here: https://wso2.com/library/webinars/deploying-graphql-services-as-managed-apis/
Scala.js is a compiler that compiles Scala source code to equivalent Javascript code. It can be seen as the start of a revolution in developing web application. In this talk, I'll present Scala.js project, common libraries for having a pleasure web development (such as scalatags, autowire and upickle) and integration with well known javascript libraries such as AngularJS and React.js.
AWS Community Day - Piyali Kamra - Conversational AI Ecosystem on AWSAWS Chicago
Piyali Kamra - Conversational AI Ecosystem on AWS
Learn tools, tech, and approaches to build scalable production grade conversational AI systems in a cloud native way. Stitching together Chatbots, AI, Natural language processing, ML models, and SageMaker.
AWS Community Day
aws community day | midwest 2019
Similar to Bringing a public GraphQL API from beta to production ready (20)
Little story about digging an issue involving Mongo, FS2 and Reactive Streams, leading to a PR on FS2 to better integrate with Reactive Streams.
Presented during Scala Meetup Berlin on 2021/12/01
https://www.meetup.com/Scala-Berlin-Brandenburg/events/281968218/
Structure your Play application with the cake pattern (and test it)yann_s
A challenge during the development of an application is how to add new functions without compromising existing ones.
Using the Cake Pattern, the application can be structured into logical components, thus minimizing the coupling between them and controlling the effects of changes.
You will learn what this pattern is, and how to introduce it step by step in a Play Application. You will be shown how an application designed that way is easy to test, especially with the Play testing API.
Finally, the talk will describe the common pitfalls of the Cake Pattern and how to avoid them.
Video of the talk: http://www.ustream.tv/recorded/42775808
Sources: https://github.com/yanns/TPA
Sources of the final version: https://github.com/yanns/TPA/tree/master/frontend/TBA_05_final
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
9. Protection against complex queries
{
products {
results {
id
version
}
}
}
needs more resources to run
{
products {
results {
id
version
productType {
name
}
}
}
}
fetch the productType
10. Protection against malicious queries
• Query complexity analysis based on schema and resolution strategies
• Too complex queries are blocked
• more info:
• https://www.apollographql.com/blog/securing-your-graphql-api-from-
malicious-queries-16130a324a6b/
• https://sangria-graphql.github.io/learn/#protection-against-malicious-
queries
11. Add info to HTTP log entries
method path status code
GET /products 200
POST /carts 201
GET /reviews/79323 404
DELETE /product-discounts/47393 500
12. Add info to HTTP log entries
method path status code
POST /graphql 200
POST /graphql 200
POST /graphql 200
POST /graphql 200
operation
type
top level fields complexity
number of
errors
Query
products,
category
650 0
Mutation cart 140 0
Query review 340 0
Mutation productDiscount 500 1
14. Slow logs
• log slow queries
• ‼ do not log sensitive data ‼
15. Scaling up operations
• protection against malicious queries
• more info to http logs
• metrics
• slow logs
• confidence in operating a GraphQL API at scale
17. Internal usage
• Internal applications are using the GraphQL API
(merchant center, demo shop)
• shorter feedback loops
• improve API design
• Frontend and Backend working together
18. API consistency - schema validations
• General conventions for API consistency
• Internal validations based on the schema
[ERROR] Caused by: sangria.schema.SchemaValidationException: Schema does not pass validation. Violations:
[ERROR] Output object 'Category' contains a localized string field named 'name' which does not follow the 'xxx' !-> String + 'xxxAllLocales' !-> List(LocalizedString) naming convention.
[ERROR] at sangria.schema.SchemaValidationRule$.validateWithException(SchemaValidationRule.scala:42)
[ERROR] at sangria.schema.Schema.<init>(Schema.scala:939)
19. Automation of GraphQL Schema
• Our REST API is following a CQRS architecture
• different models for queries and mutations
• Based on this model, generate GraphQL schema
• Use schema introspection to test what is exposed
20. Automation of API release notes
• Production schema !== in development schema
• Based on the differences, generate markdown file for public release notes
22. Scaling up API development
• Faster feedback loops
• internal usage
• Faster development
• generating GraphQL types from REST API models
• schema validations for API consistency
• public release notes
• Using deprecations to evolve
• Graphql coverage is almost complete
28. Scaling up performances
• Give tools for users of the API
• Optimize database queries based on GraphQL query
• Inspect live servers
• Continuous process
29. Evolving a public Graph API
from experimental to production ready
needs investments in different areas