1) The document discusses how GraphQL provides more power and flexibility to API clients compared to REST by allowing clients to specify exactly what fields they need in a query and receive all the requested data in a single response.
2) With GraphQL, the client can decide which fields to include for an object like a product, and the server returns only the requested data rather than an entire predefined object structure.
3) GraphQL also supports features like schema introspection, which allows clients to discover what fields are available, and makes API evolution easier by allowing fields to be added without breaking existing queries.
Introduction to GraphQL (or How I Learned to Stop Worrying about REST APIs)Hafiz Ismail
Talk for FOSSASIA 2016 (http://2016.fossasia.org)
----
This talk will give a brief and enlightening look into how GraphQL can help you address common weaknesses that you, as a web / mobile developer, would normally face with using / building typical REST API systems.
Let's stop fighting about whether we should implement the strictest interpretation of REST or how pragmatic REST-ful design is the only way to go, or debate about what REST is or what it should be.
A couple of demos (In Golang! Yay!) will be shown that are guaranteed to open up your eyes and see that the dawn of liberation for product developers is finally here.
Background: GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
Hafiz Ismail (@sogko) is a contributor to Go / Golang implementation of GraphQL server library (https://github.com/graphql-go/graphql) and is looking to encourage fellow developers to join in the collaborative effort.
Overview of GraphQL
How it is different from REST
When you should consider using it and when you should not
Incremental demos until calling GraphQL from an React application: https://github.com/bary822/graphQL-techtalk
Introduction to GraphQL (or How I Learned to Stop Worrying about REST APIs)Hafiz Ismail
Talk for FOSSASIA 2016 (http://2016.fossasia.org)
----
This talk will give a brief and enlightening look into how GraphQL can help you address common weaknesses that you, as a web / mobile developer, would normally face with using / building typical REST API systems.
Let's stop fighting about whether we should implement the strictest interpretation of REST or how pragmatic REST-ful design is the only way to go, or debate about what REST is or what it should be.
A couple of demos (In Golang! Yay!) will be shown that are guaranteed to open up your eyes and see that the dawn of liberation for product developers is finally here.
Background: GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
Hafiz Ismail (@sogko) is a contributor to Go / Golang implementation of GraphQL server library (https://github.com/graphql-go/graphql) and is looking to encourage fellow developers to join in the collaborative effort.
Overview of GraphQL
How it is different from REST
When you should consider using it and when you should not
Incremental demos until calling GraphQL from an React application: https://github.com/bary822/graphQL-techtalk
It is a basic presentation which can help you understand the basic concepts about Graphql and how it can be used to resolve the frontend integration of projects and help in reducing the data fetching time
This presentation also explains the core features of Graphql and why It is a great alternative for REST APIs along with the procedure with which we can integrate it into our projects
GraphQL across the stack: How everything fits togetherSashko Stubailo
My talk from GraphQL Summit 2017!
In this talk, I talk about a future for GraphQL which builds on the idea that GraphQL enables lots of tools to work together seamlessly across the stack. I present this through the lens of 3 examples: Caching, performance tracing, and schema stitching.
Stay tuned for the video recording from GraphQL Summit!
GraphQL is an application layer query language from Facebook. With GraphQL, you can define your backend as a well-defined graph-based schema. Then client applications can query your dataset as they are needed. GraphQL’s power comes from a simple idea — instead of defining the structure of responses on the server, the flexibility is given to the client. Will GraphQL do to REST what REST did to SOAP?
In this talk, I go over some of the concerns people initially have when adding GraphQL to their existing frontends and backends, and cover some of the tools that can be used to address them.
This presentation was part of an internal training session at Jahia to make people aware of GraphQL, and also shared the lessons learned while working with it. It is intended for audiences that have no prior knowledge of GraphQL.
GraphQL as an alternative approach to REST (as presented at Java2Days/CodeMon...luisw19
Originally designed by Facebook to allow its mobile clients to define exactly what data should be send back by an API and therefore avoid unnecessary roundtrips and data usage, GraphQL is a JSON based query language for Web APIs. Since it was open sourced by Facebook in 2015, it has undergone very rapid adoption and many companies have already switch to the GraphQL way of building APIs – see http://GraphQL.org/users.
However, with some many hundreds of thousands of REST APIs publicly available today (and many thousands others available internally), what are the implications of moving to GraphQL? Is it really worth the effort of replacing REST APIs specially if they’re successful and performing well in production? What are the pros/cons of using GraphQL? What tools / languages can be used for GraphQL? What about API Gateways? What about API design?
With a combination of rich content and hands-on demonstrations, attend this session for a point of view on how address these and many other questions, and most importantly get a better understanding and when/where/why/if GraphQL applies for your organisation or specific use case.
In this presentation, Suraj Kumar Paul of Valuebound has walked us through GraphQL. Founded by Facebook in 2012, GraphQL is a data query language that provides an alternative to REST and web service architectures.
Here he has discussed core ideas of GraphQL, limitations of RESTful APIs, operations, arguments, fragmentation, variables, mutations etc.
----------------------------------------------------------
Get Socialistic
Our website: http://valuebound.com/
LinkedIn: http://bit.ly/2eKgdux
Facebook: https://www.facebook.com/valuebound/
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.
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.
What if you could create a GraphQL API by combining many smaller APIs? That's what we're aiming for with schema stitching, the new feature in the Apollo graphql-tools package.
How web works and browser works ? (behind the scenes)Vibhor Grover
how web and browser works, this presentation can help you in understanding what happens when you enter a URL in your browser and how the page is displayed by the browser, and how we can improve the performance of our applications.
Meteor MIT Tech Talk 9/18/14: Designing a New Platform For Modern AppsSashko Stubailo
These are the slides for the talk Emily Stark and I presented at MIT on September 9, 2014.
We talked about the components that make up Meteor and how they fit together, finishing off with a more in-depth discussion of DDP, Meteor's Distributed Data Protocol.
Max Panas (Web Developer @Agile Actors) and Stelios Charbalis (Software Engineer @Agile Actors) present GraphQL and how it compares to traditional REST API design at GreeceJS Meetup #14 (Athens, June 15, 2016).
It is a basic presentation which can help you understand the basic concepts about Graphql and how it can be used to resolve the frontend integration of projects and help in reducing the data fetching time
This presentation also explains the core features of Graphql and why It is a great alternative for REST APIs along with the procedure with which we can integrate it into our projects
GraphQL across the stack: How everything fits togetherSashko Stubailo
My talk from GraphQL Summit 2017!
In this talk, I talk about a future for GraphQL which builds on the idea that GraphQL enables lots of tools to work together seamlessly across the stack. I present this through the lens of 3 examples: Caching, performance tracing, and schema stitching.
Stay tuned for the video recording from GraphQL Summit!
GraphQL is an application layer query language from Facebook. With GraphQL, you can define your backend as a well-defined graph-based schema. Then client applications can query your dataset as they are needed. GraphQL’s power comes from a simple idea — instead of defining the structure of responses on the server, the flexibility is given to the client. Will GraphQL do to REST what REST did to SOAP?
In this talk, I go over some of the concerns people initially have when adding GraphQL to their existing frontends and backends, and cover some of the tools that can be used to address them.
This presentation was part of an internal training session at Jahia to make people aware of GraphQL, and also shared the lessons learned while working with it. It is intended for audiences that have no prior knowledge of GraphQL.
GraphQL as an alternative approach to REST (as presented at Java2Days/CodeMon...luisw19
Originally designed by Facebook to allow its mobile clients to define exactly what data should be send back by an API and therefore avoid unnecessary roundtrips and data usage, GraphQL is a JSON based query language for Web APIs. Since it was open sourced by Facebook in 2015, it has undergone very rapid adoption and many companies have already switch to the GraphQL way of building APIs – see http://GraphQL.org/users.
However, with some many hundreds of thousands of REST APIs publicly available today (and many thousands others available internally), what are the implications of moving to GraphQL? Is it really worth the effort of replacing REST APIs specially if they’re successful and performing well in production? What are the pros/cons of using GraphQL? What tools / languages can be used for GraphQL? What about API Gateways? What about API design?
With a combination of rich content and hands-on demonstrations, attend this session for a point of view on how address these and many other questions, and most importantly get a better understanding and when/where/why/if GraphQL applies for your organisation or specific use case.
In this presentation, Suraj Kumar Paul of Valuebound has walked us through GraphQL. Founded by Facebook in 2012, GraphQL is a data query language that provides an alternative to REST and web service architectures.
Here he has discussed core ideas of GraphQL, limitations of RESTful APIs, operations, arguments, fragmentation, variables, mutations etc.
----------------------------------------------------------
Get Socialistic
Our website: http://valuebound.com/
LinkedIn: http://bit.ly/2eKgdux
Facebook: https://www.facebook.com/valuebound/
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.
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.
What if you could create a GraphQL API by combining many smaller APIs? That's what we're aiming for with schema stitching, the new feature in the Apollo graphql-tools package.
How web works and browser works ? (behind the scenes)Vibhor Grover
how web and browser works, this presentation can help you in understanding what happens when you enter a URL in your browser and how the page is displayed by the browser, and how we can improve the performance of our applications.
Meteor MIT Tech Talk 9/18/14: Designing a New Platform For Modern AppsSashko Stubailo
These are the slides for the talk Emily Stark and I presented at MIT on September 9, 2014.
We talked about the components that make up Meteor and how they fit together, finishing off with a more in-depth discussion of DDP, Meteor's Distributed Data Protocol.
Max Panas (Web Developer @Agile Actors) and Stelios Charbalis (Software Engineer @Agile Actors) present GraphQL and how it compares to traditional REST API design at GreeceJS Meetup #14 (Athens, June 15, 2016).
Talk given at Swift Summit 2016, in San Francisco CA by Sommer Panage. Discusses how GraphQL is beneficial to mobile apps and how it can interface with Swift via up-and-coming code generation.
As presented at DevDuck #3 - JavaScript meetup for developers (www.devduck.pl)
-----
Get know more about GraphQL
-----
Looking for a company to build you an electron desktop app? www.brainhub.eu
London React August - GraphQL at The Financial Times - Viktor CharyparReact London Community
Recently released by Facebook, GraphQL isn't only useful for client-server communication. Viktor will show how Red Badger used the reference implementation - graphql-js - at the Financial Times as a generic data presentation layer over a set of backend APIs and how to deal with related requirements like caching or authorisation.
Where we are, as Front-End developers? This presentation navigates a short timeline of the computer science focusing on the client-side development as a mean to answer why and what has changed, as well as explore patterns and tendencies for the near future.
English article: https://medium.com/@caiovaccaro/javascript-state-of-the-union-2015-part-1-7ccff74813fa#.8x9y48ohk
Social e conteúdo preditivo: como antever reações de usuários e diminuir risc...Huge
Na Huge, ao analisar o histórico de interações com uma marca em seus posts, conseguimos auxiliá-la em uma comunicação online mais assertiva e menos arriscada. Nesta apresentação, vamos mostrar como é possível traçar padrões de reações sobre determinados temas e minimizar os riscos para equipes de PR e community management.
Apresentação realizada por Maristela Vasconcelos, Creative Planner, e Renan Dayube, Data Strategist, na Social Media Week SP, em 12 de setembro de 2016.
How to format powerpoint presentation slidesmikejeffs
How to format PowerPoint presentation slides. Tips and tricks within Microsoft PowerPoint to use to arrange your slides including; view type, grids, guidelines and themes.
SlideShare now has a player specifically designed for infographics. Upload your infographics now and see them take off! Need advice on creating infographics? This presentation includes tips for producing stand-out infographics. Read more about the new SlideShare infographics player here: http://wp.me/p24NNG-2ay
This infographic was designed by Column Five: http://columnfivemedia.com/
Wave Analytics: Developing Predictive Business Intelligence AppsSalesforce Developers
Apttus has been working with Wave Analytics since it was launched at Dreamforce 14 - collecting customer requirements, building and piloting prototypes, and reworking apps based on customer feedback. Join us as we showcase the Wave apps we built with some of the world's largest companies. More importantly, we'll share how we got there and the lessons we learned along the way. We will discuss business requirements definition for predictive business intelligence, advanced analytics, visualization, data management and ETL processes, external integrations, and APIs. Learn how to drive business results with machine learning.
Google's research results have gotten a number of new features over the last few years. Features like the image carousel, people also asked and videos are all known as "Rich Results." While earning these spots can seem impossible, using structured data any site can stake claim to these features.
Extending spark ML for custom models now with python!Holden Karau
Are you interested in adding your own custom algorithms to Spark ML? This is the talk for you! See the companion examples in the High Performance Spark, and Sparkling ML project.
apidays LIVE New York - Automation API Testing: with Postman collection are ...apidays
apidays LIVE New York - API for Legacy Industries: Banking, Insurance, Healthcare and Retail
Automation API Testing: with Postman collection are generated from OpenAPI specifications
Guillaume Jeannic, IT Architect at CBP Bank Group
Utilizing Arrays: Modeling, Querying and IndexingKeshav Murthy
Arrays can be simple; arrays can be complex. JSON arrays give you a method to collapse the data model while retaining structure flexibility. Arrays of scalars, objects, and arrays are common structures in a JSON data model. Once you have this, you need to write queries to update and retrieve the data you need efficiently. This talk will discuss modeling and querying arrays. Then, it will discuss using array indexes to help run those queries on arrays faster.
apidays LIVE Paris - Automation API Testing by Guillaume Jeannicapidays
apidays LIVE Paris - Responding to the New Normal with APIs for Business, People and Society
December 8, 9 & 10, 2020
Automation API Testing: when Postman collection are generated from OpenAPI specifications
Guillaume Jeannic, IT Architect at CBP Group
How to grow GraphQL and remove SQLAlchemy and REST API from a high-load Pytho...Oleksandr Tarasenko
GraphQL is a new black, a hype over the Internet with a very few real-life examples of how to use it in big in-house projects. I’d like to show the real example of GraphQL Evolution from a small mobile API to a cross-services integration in a high-load Python project that took us 3 years to develop.
Description:
Intro to GraphQL in the Python world.
Step-by-step GraphQL evolution in a big high-load python project:
Step 1. Mobile App API with GraphQL
Step 2. Separate Frontend from Backend in high-load python project using GraphQL
Step 3. Graph services as Proxy via different Graph APIs
Step 4. Replace SqlAlchemy models via Graph
Step 5. Mutations in Graph API
Step 6. A brave new world with GraphQL
For every step, I will provide real examples (metrics, graphics, numbers), problems and solutions that we had during the years 2015 - 2019.
Similar to Introduction to GraphQL at API days (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
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!
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
25. • exactly the data the client needs
• in one request
26. {
p45: product(id: "45") {
name
}
p54: product(id: "54") {
name
canBeCombinedWith {
id
name
}
}
}
• exactly the data the client needs
• in one request
27. {
p45: product(id: "45") {
name
}
p54: product(id: "54") {
name
canBeCombinedWith {
id
name
}
}
}
• exactly the data the client needs
• in one request
28. {
p45: product(id: "45") {
name
}
p54: product(id: "54") {
name
canBeCombinedWith {
id
name
}
}
}
{
"data": {
"p45": {
"name": "running shoes"
},
"p54": {
"name": "basketball shirt",
"canBeCombinedWith": [
{
"id": "46",
"name": "basketball shoes"
},
{
"id": "58",
"name": "basketball T-shirt"
}
]
}
}
}
• exactly the data the client needs
• in one request
29. {
p45: product(id: "45") {
name
}
p54: product(id: "54") {
name
canBeCombinedWith {
id
name
}
}
}
{
"data": {
"p45": {
"name": "running shoes"
},
"p54": {
"name": "basketball shirt",
"canBeCombinedWith": [
{
"id": "46",
"name": "basketball shoes"
},
{
"id": "58",
"name": "basketball T-shirt"
}
]
}
}
}
• exactly the data the client needs
• in one request
m
obile
friendly
30. With GraphQL
• the client has more power
{
product(id: "45") {
variants(master: false, limit: 10, offset: 20) {
price {
centAmount
}
}
}
}
• and the server can be more generic
31. Introspection
{
__type(name: "product") {
fields {
name
}
}
}
{
"data": {
"__type": {
"fields": [
{
"name": "id"
},
{
"name": "name"
},
{
"name": "masterVariant"
},
{
• the schema is used:
• to validate the queries (server & maybe client)
• for introspection
• for documentation
36. With GraphQL
• a field can be deprecated
• still valid for a query
• not in the schema anymore
• the server can track if a field is used
• the field can be removed when not used anymore
37. REST vs GraphQL?
• REST is here to stay
• simple
• widely used
• GraphQL
• different approach
• solve some limits of REST
38. ecosystem
• used in Facebook’s native apps in production since 2012
• open source in July 2015
• specification
• backend agnostic
• implementation in different languages
• nodejs, java, scala, ruby, php and many more
• front-end frameworks based on GraphQL like relay
39. So you want to try it?
• https://learngraphql.com/
• create an account on https://admin.sphere.io/
• you can create a project with sample data
• try GraphQL with this account on https://
impex.sphere.io/graphiql