GraphQL Galaxy

GraphQL Galaxy 2021

Today's Talk is about adopting GraphQL in an enterprise. It discusses the challenges of using REST APIs and the benefits of GraphQL. The Talk explores different approaches to adopting GraphQL, including coexistence with REST APIs. It emphasizes the power of GraphQL and provides tips for successful adoption. Overall, the Talk highlights the advantages of GraphQL in terms of efficiency, collaboration, and control over APIs.

Adopting GraphQL in an Enterprise

Shruti Kapoor

React Summit

React Summit 2022

This Talk discusses the challenges faced when implementing or migrating a legacy stack to Next.js and Contentful in large-scale projects. It emphasizes the need for careful analysis and estimation of time and resources. The Talk also highlights the benefits of Next.js in facilitating collaboration with isolated teams and integrating with other frameworks. It addresses the challenges of using a headless CMS in large-scale projects and suggests strategies for handling unavailability and crashes. The importance of using global state wisely and promoting code reusability is also emphasized, along with techniques for overcoming challenges in large-scale projects.

NextJS is an excellent full stack framework. Contentful is a well-known flexible headless CMS. Together are a great match, but when we talk large scale projects the challenges are completely different than the ones you may face in a small to medium scale project. Leonidas will try to raise your awareness on such challenges based on Greece's experience on redesigning Vodafone's site to create beautiful self-serve and guided journeys for Vodafone customers.

Large scale projects challenges (NextJS - Contentful)

Leonidas Mamais

Node Congress

Node Congress 2022

Polyscale is a no-code database edge cache that aims to make caching and speeding up the data layer effortless for developers. It uses AI and machine learning to adjust caching behavior, selectively choosing what to cache and automatically setting cache duration. Polyscale supports multiple databases and provides detailed observability. It eliminates the need for caching at the application tier and offers significant performance gains.

This workshop discusses the challenges Enterprises are facing when scaling the data tier to support multi-region deployments and serverless environments. Serverless edge functions and lightweight container orchestration enables applications and business logic to be easily deployed globally, often leaving the database as the latency and scaling bottleneck. Join us to understand how PolyScale.ai solves these scaling challenges intelligently caching database data at the edge, without sacrificing transactionality or consistency. Get hands on with PolyScale for implementation, query observability and global latency testing with edge functions. Table of contents<ul><li>- Introduction to PolyScale.ai</li><li>- Enterprise Data Gravity</li><li>- Why data scaling is hard</li><li>- Options for Scaling the data tier</li><li>- Database Observability</li><li>- Cache Management AI</li><li>- Hands on with PolyScale.ai</li></ul><a href="https://www.froala.com/wysiwyg-editor?pb=1"></a>

Scaling Databases For Global Serverless Applications

Ben Hagan

This Talk explores the benefits of using GraphQL APIs for data, including representing domain models, addressing API tooling and infrastructure, and supporting interconnected data. It discusses model mapping, read APIs, filtering, sorting, and aggregating data, as well as mutations for invoking logic. The Talk also highlights the importance of standardizing infrastructure and leveraging GraphQL's automatic model mapping and authorization. Additionally, it touches on the use of specialized databases, the comparison between GraphQL and gRPC for data APIs, and the speaker's experience working on various parts of the stack.

I'll introduce the concept of a data mesh and why people increasingly are gravitating towards that as a solution to their data (both online and analytical) and application modernization problems. I'll talk about the key requirements around 1) domain-oriented decentralized data ownership and architecture, 2) data as a product, 3) self-serve data infrastructure as a platform, and 4) federated computational governance (ref). And then I'll talk about how GraphQL opens up an opportunity for laying the foundation for a data mesh and best-practices in building, operating and maintaining an enterprise grade data mesh. <a href="https://www.froala.com/wysiwyg-editor?pb=1"> </a>

Evaluating GraphQL for Setting Up an Enterprise-Grade Data Mesh

Tanmai Gopal

React Finland

React Finland 2021

Did you know that 50% of users will NOT use the English version of your application, if it supports multiple languages? For ambitious high-growth businesses, going global is not "if" but "when" so it's important to recognize the importance of localization, especially in large multi-team projects. This discussion will explore the depths of localization in Agile companies and what can be achieved with a Continuous Localization system. I'll share some common issues we faced with multi-language products and how localization automation helped us to scale the process across many product teams within the company. <a href="https://www.froala.com/wysiwyg-editor?pb=1"> </a>

Continuous Localization in Enterprise Web Projects

Ante Tomić

React Summit Remote Edition

React Summit Remote Edition 2021

This Talk discusses the challenges of dealing with legacy code and the benefits of partnerships in software development. It highlights the case study of ServingMonkey and Rango, showcasing the solutions implemented to modernize their code bases. The talk emphasizes the importance of three-tiered architecture and collective ownership in achieving sustainable changes. It also addresses the challenges of migrating to new technologies and the need to consider business value when making technology decisions. The talk concludes with insights on preventing code from becoming legacy and the benefits of code migration and collaboration.

In 2020, Rangle partnered with the Survey Monkey team to migrate a legacy codebase to React. Survey Monkey’s best-in-class digital products were being held back fragmentation and complexity, which created a lot of rework and wasted effort for their engineering teams. Working together, we implemented a number of process and architecture changes that cut the complexity and improved workflows, letting our blended team deliver results with speed and consistently, even early in the engagement. These were not one-size-fits-all solutions, but solves that were unique and fitted to the needs of the engineering and product teams. The success of the project was due to Survey Monkey’s motivated teams that were: 1) Ready to embrace change; 2) Able to keep a firm focus on the outcomes; and 3) Readily understood the complexity of the project. This allowed us to co-create some non-intuitive solutions that engineers at similar enterprise-level companies should know about. <a href="https://www.froala.com/wysiwyg-editor?pb=1"> </a>

#enterprise