Connect Intergration Patterns: A Case Study - Patrick StreuleAtlassian
The document provides an overview of Connect integration patterns at Atlassian, including how add-ons can integrate with Connect applications using authentication methods like JWT. It discusses the development process from creating a descriptor and add-on service locally to deploying to staging and production. Examples are given of how add-ons can be installed across multiple applications and handle events through webhooks.
Compute Midwest Company business-justification-letterkcitp
The letter requests approval from the boss/company to attend the Compute Midwest conference in Kansas City from November 9-11. It provides details on the 2-day conference and hackathon event for developers, as well as major speakers from companies like Box, GitHub, and Joyent. Attending would allow the employee to connect with 400+ other tech professionals, learn new ideas and solutions to bring back to benefit company projects. The total estimated cost for registration is provided, and the employee offers to submit a report on learnings and outcomes from the event.
Elastic development. Implementing Big Data search Grzegorz KołpućEvention
Quick look at implementation of search platforms based on ElasticSearch from developer perspective. Full-text search, relevance, geo location, stats, aggregations, alerting - I will show you how pleasant that may be and what traps are waiting for you in the limbo of distributed systems.
Elastic development. implementing big data searchGrzegorz Kolpuc
This document summarizes Grzegorz Kolpuc's work developing search and analytics solutions at Thomson Reuters using the Elastic Stack. It describes:
1. Developing distributed search engines using Elasticsearch for full-text search, filtering, caching and plugins.
2. Creating the Marvel tool for debugging and monitoring Elasticsearch clusters.
3. Implementing cross-cluster search, analytics for aggregation, grouping and metrics, as well as geo-location features like distance filtering.
4. Using scripting for custom scoring, filtering and analytics beyond standard queries.
5. Developing alerting to notify users of data changes through Elasticsearch percolation.
The Platform Era, Software and APIs in the organization changebootis
Organizations and the whole society are living a structural change introducing the notion of "platform". Software and APIs are the first steps of this change, making it possible. They are the visible signs of this transformation.
As software developers, we are the ones having these powerful tools in our hands.
SharePoint Saturday Bremen - Unite your modern workplace with Microsoft's AI ...Thomas Gölles
This document discusses how conversational AI and Microsoft's AI ecosystem can unite the modern workplace. It provides an overview of conversational AI and bots, Microsoft's bot framework and AI capabilities like LUIS and QnA Maker. It also demonstrates how these can be used to build enterprise bots and integrate with Microsoft Teams for collaboration.
Microsoft Graph is the rich, robust API for an increasing number of products across Microsoft. Microsoft Graph has a large footprint of tools, SDKs, and API capabilities you can incorporate in your projects. Come see what's new across products and available for developers -- you'll take away code and tools you'll undoubtedly use as you build apps and services.
Connect Intergration Patterns: A Case Study - Patrick StreuleAtlassian
The document provides an overview of Connect integration patterns at Atlassian, including how add-ons can integrate with Connect applications using authentication methods like JWT. It discusses the development process from creating a descriptor and add-on service locally to deploying to staging and production. Examples are given of how add-ons can be installed across multiple applications and handle events through webhooks.
Compute Midwest Company business-justification-letterkcitp
The letter requests approval from the boss/company to attend the Compute Midwest conference in Kansas City from November 9-11. It provides details on the 2-day conference and hackathon event for developers, as well as major speakers from companies like Box, GitHub, and Joyent. Attending would allow the employee to connect with 400+ other tech professionals, learn new ideas and solutions to bring back to benefit company projects. The total estimated cost for registration is provided, and the employee offers to submit a report on learnings and outcomes from the event.
Elastic development. Implementing Big Data search Grzegorz KołpućEvention
Quick look at implementation of search platforms based on ElasticSearch from developer perspective. Full-text search, relevance, geo location, stats, aggregations, alerting - I will show you how pleasant that may be and what traps are waiting for you in the limbo of distributed systems.
Elastic development. implementing big data searchGrzegorz Kolpuc
This document summarizes Grzegorz Kolpuc's work developing search and analytics solutions at Thomson Reuters using the Elastic Stack. It describes:
1. Developing distributed search engines using Elasticsearch for full-text search, filtering, caching and plugins.
2. Creating the Marvel tool for debugging and monitoring Elasticsearch clusters.
3. Implementing cross-cluster search, analytics for aggregation, grouping and metrics, as well as geo-location features like distance filtering.
4. Using scripting for custom scoring, filtering and analytics beyond standard queries.
5. Developing alerting to notify users of data changes through Elasticsearch percolation.
The Platform Era, Software and APIs in the organization changebootis
Organizations and the whole society are living a structural change introducing the notion of "platform". Software and APIs are the first steps of this change, making it possible. They are the visible signs of this transformation.
As software developers, we are the ones having these powerful tools in our hands.
SharePoint Saturday Bremen - Unite your modern workplace with Microsoft's AI ...Thomas Gölles
This document discusses how conversational AI and Microsoft's AI ecosystem can unite the modern workplace. It provides an overview of conversational AI and bots, Microsoft's bot framework and AI capabilities like LUIS and QnA Maker. It also demonstrates how these can be used to build enterprise bots and integrate with Microsoft Teams for collaboration.
Microsoft Graph is the rich, robust API for an increasing number of products across Microsoft. Microsoft Graph has a large footprint of tools, SDKs, and API capabilities you can incorporate in your projects. Come see what's new across products and available for developers -- you'll take away code and tools you'll undoubtedly use as you build apps and services.
Microsoft Graph is the rich, robust API for an increasing number of products across Microsoft. Microsoft Graph has a large footprint of tools, SDKs, and API capabilities you can incorporate in your projects. Come see what's new across products and available for developers -- you'll take away code and tools you'll undoubtedly use as you build apps and services.
Scott Guthrie slides talking about what's new on VS 11, .NET 4.5 and MVC 4, including automatic Bundling, Minifying, Real Time updates, SignalR, Asynchronous requests, Web API, Database Migration and Open Source of MVC / ASP.NET.
Elasticsearch sur Azure : Make sense of your (BIG) data !Microsoft
The document is a presentation about using Elasticsearch on Azure. It introduces Elasticsearch and its features like scalability, plug and play functionality, and REST/JSON interface. It demonstrates how to deploy Elasticsearch on Azure by using unicast discovery across virtual machines or by using an Azure cloud plugin. It also shows how to scale out Elasticsearch on Azure by starting additional nodes and discusses using Elasticsearch to analyze big data on Azure.
TDC2018SP | Trilha .Net - Novidades do C# 7 e 8tdc-globalcode
This document discusses new features in C# 7 and 8, including pattern matching, tuples, out variables, discards, ref returns and locals, expression-bodied members, numeric literals, local functions, generalized async returns, default literals, non-trailing named arguments, leading separators for numeric literals, private protected access, reference semantics with value types using in, ref, and ref readonly. It also provides links to documentation and proposals for each feature.
Real-Time Streaming with Python ML InferenceMarko Topolnik
The capabilities of machine learning are now pretty well understood and there are great tools to do data science and construct models that answer nontrivial questions about your data. These tools are often used from Python.
The key new challenge is making the trained prediction model usable in real time, while the user is interacting with your software. Getting answers from an ML model takes a lot of CPU/GPU and must be done at serious scale. The ML tools are optimized mainly for batch-processing a lot of data at once, and often the implementations aren't parallelized.
In this talk I will show one approach which allows you to write a low-latency, auto-parallelized and distributed stream processing pipeline in Java that seamlessly integrates with a data scientist's work taken in almost unchanged form from their Python development environment.
The talk includes a live demo using the command line and going through some Python and Java code snippets.
0 to 100kmh with GraphQL. Rapid API Prototyping usingserverless backend in t...Amazon Web Services
You will discover how your mobile and web applications can leverage data-driven API and cloud-based backends, from rapid prototyping, to a confident deployment in a scalable serverless infrastructure. We will show how to use advanced features such as notifications and support for offline devices. This session will demonstrate how to build a cloud-based, serverless solution to manage access to your data sources and existing API and how to integrate GraphQL API inside your web or mobile applications written in Swift or Kotlin.
This document provides an overview of cloud forensics and describes tools called ClouDIAN that were developed to access cloud storage data through APIs. ClouDIAN scripts were created for Dropbox and Google Drive to retrieve metadata rather than just files. The scripts utilize the API interfaces and SDKs provided by each service. Metadata collected includes file modification times, sizes, hashes, and sharing details. Analyzing this metadata can provide useful insights for forensic investigations.
B Spot is a boutique consultancy that has been created with the sole purpose of helping its clients turn great technology ideas into great business opportunities.
There is a myriad of reasons why companies fail to capitalize on important technology innovations, why investments into technology investments become wasteful and why the benefit of hindsight is all too often the first wake-up call.
In our experience, these situations happen because at least one of these fundamental ingredients is typically missing:
Vision
Analytical Candour
Passion
Our work is about creating, sharpening or balancing the mix of these ingredients, based on a client´s specific context and objectives.
The ideas can be Big and Bold but also Common and Simple – we design business concepts no matter the complexity of the idea or the size of the ambition.
We work with all organisations, small and large, from any industry and any country. We make only one exception: we will not support any ideas which will purposely harm people, animals or the environment.
O365Con18 - Microsoft Graph, a Walk-through - Adis JugoNCCOMMS
This document provides an overview of Microsoft Graph and how it can be used to access data from various Microsoft services through a single endpoint and API. Microsoft Graph provides a unified API that gives applications access to data across Microsoft 365, Azure AD, Windows 10, and Enterprise Mobility + Security. It includes functionality for accessing user profiles, files, mail, calendar events and other content. The document also covers authentication methods, making API calls, and available SDKs and tooling.
Building Services With gRPC, Docker and GoMartin Kess
gRPC is an open-source framework for building language agnostic services and clients. This hands-on session will cover techniques for building, testing and monitoring gRPC services using Docker and Go. During this session you will build a simple gRPC service and client, as well as an HTTP reverse-proxy to allow your service to also receive HTTP traffic.
0 to 100kmh with GraphQL - Rapid API Prototyping using serverless backend in...Amazon Web Services
You will discover how your mobile and web applications can leverage data-driven API and cloud-based backends, from rapid prototyping, to a confident deployment in a scalable serverless infrastructure. We will show how to use advanced features such as notifications and support for offline devices. This session will demonstrate how to build a cloud-based, serverless solution to manage access to your data sources and existing API and how to integrate GraphQL API inside your web or mobile applications written in Swift or Kotlin.
This document describes building data science pipelines in Python using Luigi. It discusses the typical data science workflow, challenges with the current workflow approach, and how data science pipelines with Luigi can help address these challenges. Luigi is presented as a Python tool that allows defining data processing tasks, dependencies between tasks, scheduling, monitoring, and failure recovery for building reproducible and production-ready data science pipelines. An example problem of building a pipeline to predict player performance in a mobile game using Luigi is provided.
Data Science Pipelines in Python using LuigiShivam Bansal
This document describes building data science pipelines in Python using Luigi. It discusses the typical data science workflow, challenges with the current workflow approach, and how data science pipelines with Luigi can help address these challenges. Key features of Luigi that make it useful for data science pipelines are presented, including task templating, scheduling, monitoring, failure recovery, and enabling batch and parallel processing. The document concludes with a demonstration Luigi pipeline example to predict the performance score of mobile game users.
Learn how to get small teams to embrace both using and contributing to open source in a healthy way. See case studies of open source projects and how they have contributed to the growth of a small team.
The document discusses introducing Power BI in a company. It describes how the presenter evaluated Power BI for their needs at a bank with 24,000 employees across 8 banks. Key areas evaluated included data sources, modeling, sharing/delivery, and licensing. The presenter discusses Power BI features for connecting to various data sources, modeling capabilities in Power BI, and sharing options like groups, content packs, and subscriptions that can be used to deliver reports and dashboards to different user groups.
This document discusses using MongoDB for flexible event logging and analysis of funnels, retention, and viral spread. It provides examples of aggregating web and video system event data, processing it using Python map-reduce jobs, and counting events in real-time and over time. The results can be queried to analyze user behavior and the effectiveness of changes. While initial performance of complex map-reduce jobs was poor, MongoDB 1.5.0 improvements are expected to make this approach fast enough for both batch and interactive use.
This document compares using Google Docs and HighriseHQ as cloud solutions for a contact management system for a startup. Google Docs was used initially but was not well suited as it required scrolling across spreadsheets. HighriseHQ was then used which provided a proper customer relationship management application in the cloud without costs for development time or money. The document outlines creating, reading, updating and deleting contacts using REST calls and XML payloads with the HighriseHQ API. In conclusion, cloud computing is suitable for small-to-medium enterprises but not as much for large enterprises, and allows for fast development through code reuse and customization by building own solutions on top of the provided platforms and APIs.
The document outlines the agenda for the TUGA IT 2016 conference in Lisbon, Portugal. It begins with thanking sponsors and the organizing team. The agenda lists several speakers and session topics from 9:00 to 17:30, including sessions on Power BI, custom visuals, embedding, and REST APIs. It also provides information on using Power BI, embedding features, custom visuals, and samples.
Intro to MongoDB
Get a jumpstart on MongoDB, use cases, and next steps for building your first app with Buzz Moschetti, MongoDB Enterprise Architect.
@BuzzMoschetti
Elevating Developer Experiences with AI-Powered API Testing & DocumentationPostman
In the modern era, APIs have exploded in their popularity, powering absolutely everything we interact with on a daily basis (whether we know it or not). Maintaining their coherence and functionality has become, to say the least, a difficult task for developers and engineering leaders. As the API landscape continues to grow increasingly complex, the absence of robust testing and comprehensive documentation can lead to a cascade of issues, resulting in downstream pain for both developers and end-users alike.
However, there is a silver lining on the horizon: harnessing the power of AI to help write API tests and documentation, ensuring seamless integration, improved developer experiences, and ultimately, greater efficiency in API-driven development workflows. Join us as we delve into the transformative potential of AI in shaping the future of API testing and documentation, paving the way for a more streamlined and effective development ecosystem.
More Related Content
Similar to Automatically Generate API Contract Tests
Microsoft Graph is the rich, robust API for an increasing number of products across Microsoft. Microsoft Graph has a large footprint of tools, SDKs, and API capabilities you can incorporate in your projects. Come see what's new across products and available for developers -- you'll take away code and tools you'll undoubtedly use as you build apps and services.
Scott Guthrie slides talking about what's new on VS 11, .NET 4.5 and MVC 4, including automatic Bundling, Minifying, Real Time updates, SignalR, Asynchronous requests, Web API, Database Migration and Open Source of MVC / ASP.NET.
Elasticsearch sur Azure : Make sense of your (BIG) data !Microsoft
The document is a presentation about using Elasticsearch on Azure. It introduces Elasticsearch and its features like scalability, plug and play functionality, and REST/JSON interface. It demonstrates how to deploy Elasticsearch on Azure by using unicast discovery across virtual machines or by using an Azure cloud plugin. It also shows how to scale out Elasticsearch on Azure by starting additional nodes and discusses using Elasticsearch to analyze big data on Azure.
TDC2018SP | Trilha .Net - Novidades do C# 7 e 8tdc-globalcode
This document discusses new features in C# 7 and 8, including pattern matching, tuples, out variables, discards, ref returns and locals, expression-bodied members, numeric literals, local functions, generalized async returns, default literals, non-trailing named arguments, leading separators for numeric literals, private protected access, reference semantics with value types using in, ref, and ref readonly. It also provides links to documentation and proposals for each feature.
Real-Time Streaming with Python ML InferenceMarko Topolnik
The capabilities of machine learning are now pretty well understood and there are great tools to do data science and construct models that answer nontrivial questions about your data. These tools are often used from Python.
The key new challenge is making the trained prediction model usable in real time, while the user is interacting with your software. Getting answers from an ML model takes a lot of CPU/GPU and must be done at serious scale. The ML tools are optimized mainly for batch-processing a lot of data at once, and often the implementations aren't parallelized.
In this talk I will show one approach which allows you to write a low-latency, auto-parallelized and distributed stream processing pipeline in Java that seamlessly integrates with a data scientist's work taken in almost unchanged form from their Python development environment.
The talk includes a live demo using the command line and going through some Python and Java code snippets.
0 to 100kmh with GraphQL. Rapid API Prototyping usingserverless backend in t...Amazon Web Services
You will discover how your mobile and web applications can leverage data-driven API and cloud-based backends, from rapid prototyping, to a confident deployment in a scalable serverless infrastructure. We will show how to use advanced features such as notifications and support for offline devices. This session will demonstrate how to build a cloud-based, serverless solution to manage access to your data sources and existing API and how to integrate GraphQL API inside your web or mobile applications written in Swift or Kotlin.
This document provides an overview of cloud forensics and describes tools called ClouDIAN that were developed to access cloud storage data through APIs. ClouDIAN scripts were created for Dropbox and Google Drive to retrieve metadata rather than just files. The scripts utilize the API interfaces and SDKs provided by each service. Metadata collected includes file modification times, sizes, hashes, and sharing details. Analyzing this metadata can provide useful insights for forensic investigations.
B Spot is a boutique consultancy that has been created with the sole purpose of helping its clients turn great technology ideas into great business opportunities.
There is a myriad of reasons why companies fail to capitalize on important technology innovations, why investments into technology investments become wasteful and why the benefit of hindsight is all too often the first wake-up call.
In our experience, these situations happen because at least one of these fundamental ingredients is typically missing:
Vision
Analytical Candour
Passion
Our work is about creating, sharpening or balancing the mix of these ingredients, based on a client´s specific context and objectives.
The ideas can be Big and Bold but also Common and Simple – we design business concepts no matter the complexity of the idea or the size of the ambition.
We work with all organisations, small and large, from any industry and any country. We make only one exception: we will not support any ideas which will purposely harm people, animals or the environment.
O365Con18 - Microsoft Graph, a Walk-through - Adis JugoNCCOMMS
This document provides an overview of Microsoft Graph and how it can be used to access data from various Microsoft services through a single endpoint and API. Microsoft Graph provides a unified API that gives applications access to data across Microsoft 365, Azure AD, Windows 10, and Enterprise Mobility + Security. It includes functionality for accessing user profiles, files, mail, calendar events and other content. The document also covers authentication methods, making API calls, and available SDKs and tooling.
Building Services With gRPC, Docker and GoMartin Kess
gRPC is an open-source framework for building language agnostic services and clients. This hands-on session will cover techniques for building, testing and monitoring gRPC services using Docker and Go. During this session you will build a simple gRPC service and client, as well as an HTTP reverse-proxy to allow your service to also receive HTTP traffic.
0 to 100kmh with GraphQL - Rapid API Prototyping using serverless backend in...Amazon Web Services
You will discover how your mobile and web applications can leverage data-driven API and cloud-based backends, from rapid prototyping, to a confident deployment in a scalable serverless infrastructure. We will show how to use advanced features such as notifications and support for offline devices. This session will demonstrate how to build a cloud-based, serverless solution to manage access to your data sources and existing API and how to integrate GraphQL API inside your web or mobile applications written in Swift or Kotlin.
This document describes building data science pipelines in Python using Luigi. It discusses the typical data science workflow, challenges with the current workflow approach, and how data science pipelines with Luigi can help address these challenges. Luigi is presented as a Python tool that allows defining data processing tasks, dependencies between tasks, scheduling, monitoring, and failure recovery for building reproducible and production-ready data science pipelines. An example problem of building a pipeline to predict player performance in a mobile game using Luigi is provided.
Data Science Pipelines in Python using LuigiShivam Bansal
This document describes building data science pipelines in Python using Luigi. It discusses the typical data science workflow, challenges with the current workflow approach, and how data science pipelines with Luigi can help address these challenges. Key features of Luigi that make it useful for data science pipelines are presented, including task templating, scheduling, monitoring, failure recovery, and enabling batch and parallel processing. The document concludes with a demonstration Luigi pipeline example to predict the performance score of mobile game users.
Learn how to get small teams to embrace both using and contributing to open source in a healthy way. See case studies of open source projects and how they have contributed to the growth of a small team.
The document discusses introducing Power BI in a company. It describes how the presenter evaluated Power BI for their needs at a bank with 24,000 employees across 8 banks. Key areas evaluated included data sources, modeling, sharing/delivery, and licensing. The presenter discusses Power BI features for connecting to various data sources, modeling capabilities in Power BI, and sharing options like groups, content packs, and subscriptions that can be used to deliver reports and dashboards to different user groups.
This document discusses using MongoDB for flexible event logging and analysis of funnels, retention, and viral spread. It provides examples of aggregating web and video system event data, processing it using Python map-reduce jobs, and counting events in real-time and over time. The results can be queried to analyze user behavior and the effectiveness of changes. While initial performance of complex map-reduce jobs was poor, MongoDB 1.5.0 improvements are expected to make this approach fast enough for both batch and interactive use.
This document compares using Google Docs and HighriseHQ as cloud solutions for a contact management system for a startup. Google Docs was used initially but was not well suited as it required scrolling across spreadsheets. HighriseHQ was then used which provided a proper customer relationship management application in the cloud without costs for development time or money. The document outlines creating, reading, updating and deleting contacts using REST calls and XML payloads with the HighriseHQ API. In conclusion, cloud computing is suitable for small-to-medium enterprises but not as much for large enterprises, and allows for fast development through code reuse and customization by building own solutions on top of the provided platforms and APIs.
The document outlines the agenda for the TUGA IT 2016 conference in Lisbon, Portugal. It begins with thanking sponsors and the organizing team. The agenda lists several speakers and session topics from 9:00 to 17:30, including sessions on Power BI, custom visuals, embedding, and REST APIs. It also provides information on using Power BI, embedding features, custom visuals, and samples.
Intro to MongoDB
Get a jumpstart on MongoDB, use cases, and next steps for building your first app with Buzz Moschetti, MongoDB Enterprise Architect.
@BuzzMoschetti
Similar to Automatically Generate API Contract Tests (20)
Elevating Developer Experiences with AI-Powered API Testing & DocumentationPostman
In the modern era, APIs have exploded in their popularity, powering absolutely everything we interact with on a daily basis (whether we know it or not). Maintaining their coherence and functionality has become, to say the least, a difficult task for developers and engineering leaders. As the API landscape continues to grow increasingly complex, the absence of robust testing and comprehensive documentation can lead to a cascade of issues, resulting in downstream pain for both developers and end-users alike.
However, there is a silver lining on the horizon: harnessing the power of AI to help write API tests and documentation, ensuring seamless integration, improved developer experiences, and ultimately, greater efficiency in API-driven development workflows. Join us as we delve into the transformative potential of AI in shaping the future of API testing and documentation, paving the way for a more streamlined and effective development ecosystem.
Discovering Public APIs and Public API Network with PostmanPostman
This document provides an overview of the Postman API Network and how to publish APIs publicly. It discusses verified teams, guided authentication, publishing and maintaining APIs using Postman tools, sharing collections, and crafting a good developer experience with resources like getting started guides. The presentation ends with a reminder to provide feedback and links to additional Postman resources.
Optimizing Teamwork: Harnessing Collections & Workspaces for CollaborationPostman
This document provides information about optimizing teamwork using Postman collections and workspaces for collaboration. It includes an agenda that discusses introducing API collaboration, types of collaboration in Postman like teams and workspaces, a demo, best practices, and resources/Q&A. The demo section will show how to collaborate on a team workspace in Postman. Best practices include providing detailed workspace descriptions, using comments, granting only necessary permissions, not sharing sensitive information, and always pulling changes before making a pull request.
API testing Beyond the Basics AI & Automation TechniquesPostman
Attendees are muted and asked to post questions in the Q&A section. A recording of the session will be shared and a post-event survey given at the end. The session will demonstrate harnessing Postman's automation capabilities for testing across environments using pre-request scripts, assertions, variables and libraries, and employing Postbot for testing, debugging, and data analysis.
REST APIs are typically endpoint-based, meaning each endpoint has its rate limit, while GraphQL APIs tend to be more flexible and allow for a single endpoint to handle multiple requests. Although more flexible, rate limiting in GraphQL APIs is more complex than rate limiting in REST APIs. This talk discusses popular rate-limiting strategies and helps you choose the strategy that best fits your application's use case and requirements.
Five Ways to Automate API Testing with PostmanPostman
You know it’s the right thing to automate testing, workflows, and tedious processes. Automation saves you time, reduces errors, and allows your team to work more quickly. But where do you get started? This talk covers five ways to automate API testing, which can then be applied to any API workflows. Learn about testing as part of your CI/CD pipeline, uptime monitoring, and other APIOps practices.
How to Scale APIs-as-Product for Future SuccessPostman
Discover the key challenges in scaling API-as-a-Product, focusing on the imperative task of designing robust APIs in resource-constrained organizations. Join me to learn how cultivating the right mindset, leveraging technology, and optimizing processes can set your API-as-a-Product journey for success.
Revolutionizing API Development: Collaborative Workflows with PostmanPostman
There are many pitfalls of siloed API development processes, such as subpar APIs, delayed releases, and duplicated efforts. Join us to explore how Postman's collaborative workflows address these challenges head-on. We will look at how workspaces and collections allow API teams to work together effectively while also accelerating the onboarding process for new consumers of your API. The seamless integration with Amazon API Gateway further streamlines the process, fostering high-quality API development and expediting release cycles.
Everything You Always Wanted to Know About AsyncAPIPostman
From this talk you will learn what is AsyncAPI and AsyncAPI Initiative. You will see how we grow, but also what pains we have, and what are the painkillers. After this session you will know everything needed to join our community.
Elevating Event-Driven World: A Deep Dive into AsyncAPI v3Postman
Let me take you for a journey through the core advancements in AsyncAPI v3, so you learn how it simplifies the development of real-time applications. Whether you’re an experienced event-driven developer or just getting started, this talk will provide invaluable insights and practical tips for harnessing the full potential of AsyncAPI v3.
Over 25 million developers use Postman to work across different aspects of their API lifecycle all across the globe. In this talk, you'll learn about five amazing features that Postman offers that everyone SHOULD be aware of.
Integration-, Snapshot- and Performance-Testing APIs Postman
Postman is used by millions of developers and testers to discover, design, document, test and monitor APIs. Apart from the more than 300,000 APIs to explore openly on Postman, the Postman API network also contains free to use collection templates that cover the best examples we have seen around testing, security, infrastructure and developer workflow automation across various industries. In this talk, we will give a short overview of the available collection templates and then give concrete live demos on how to use the API performance-, snapshot- and integration testing examples. Last but not least, we will provide a magical example of how test cases can be created automatically, just based on the responses of your API endpoints and Postbot - our AI-based helper.
How ChatGPT led OpenAPI's Recent Spike in PopularityPostman
OpenAPI, formerly known as Swagger, is a specification for building and documenting APIs. This talk is about the significance of OpenAPI in the world of API development and when a lot of people suddenly realised its importance for modern-day software development. We'll explore the technical aspects, wider ecosystem, and future of OpenAPI in the world of API development and discuss the benefits of OpenAPI, its role in API documentation, and its importance in building robust and scalable APIs used by leading companies (e.g. OpenAI).
This document provides an overview and agenda for exploring Postman's VS Code extension. It includes sections on housekeeping, an overview of the extension and why it was created, a demo, and resources and Q&A. The agenda also has sections on getting familiar with attendees, an overview of VS Code, and next steps for the extension.
2023 State of the API Report: Key Findings and TrendsPostman
APIs are becoming increasingly important in the modern world. They are used to power a wide range of applications and services, from simple websites to complex enterprise systems. In this talk, Jordan from Postman will discuss the key findings from Postman’s 2023 State of the API Report. He will cover topics such as API adoption, usage, security, and trends and also the implications of these findings for businesses and developers.
Nordic- APIOps is here What will you build in an API First World Postman
1. The document is a presentation about APIOps and building workflows for APIs using Postman tools.
2. APIOps combines DevOps and GitOps principles for designing API workflows to improve scalability, reusability, and quality of produced APIs.
3. Postman offers many tools to help build, test, document, and manage APIs including collections, requests, variables, scripts, and more that can be combined to create reusable API workflows.
(1) Attendees are muted and should ask questions under the Q&A section. (2) A recording of the session will be shared after completion. (3) Participants are asked to provide feedback through a survey.
This document provides an overview of testing and developing GraphQL APIs. It begins with some housekeeping notes and an agenda. It then covers a GraphQL overview including its flexible data retrieval with a single endpoint. It also discusses GraphQL operations like queries, mutations, and subscriptions. Next, it compares GraphQL to REST APIs, noting GraphQL's advantages. Finally, it provides additional GraphQL resources and a feedback survey.
Introduction to API Security - IntergalacticPostman
This document summarizes an introduction to API security presentation. It includes:
- An agenda that covers what API security is, the OWASP Top 10 risks, identifying vulnerabilities using Postman, automating security tests with Postman, and a Q&A.
- Discussions of key OWASP updates including broken object property authorization and server-side request forgery.
- An overview of GraphQL including common attack vectors and using Postman to exploit vulnerabilities in a vulnerable GraphQL app.
- Additional resources mentioned include the Postman YouTube channel, upcoming events, the OWASP API Top 10 documentation, and the Postman community forum.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
SMS API Integration in Saudi Arabia| Best SMS API ServiceYara Milbes
Discover the benefits and implementation of SMS API integration in the UAE and Middle East. This comprehensive guide covers the importance of SMS messaging APIs, the advantages of bulk SMS APIs, and real-world case studies. Learn how CEQUENS, a leader in communication solutions, can help your business enhance customer engagement and streamline operations with innovative CPaaS, reliable SMS APIs, and omnichannel solutions, including WhatsApp Business. Perfect for businesses seeking to optimize their communication strategies in the digital age.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Drona Infotech is a premier mobile app development company in Noida, providing cutting-edge solutions for businesses.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.