GraphQL Reviews

Apache Mesos Reviews

GraphQL mentions (229)

• 33 front-end development tools developers use in 2024

  A headless CMS delivers content using APIs, often RESTful or GraphQL, allowing front-end developers to fetch material dynamically. This strategy makes it easier to integrate content into apps and helps developers structure their data retrieval more efficiently. - Source: dev.to / 14 days ago

• Migrating from REST to GraphQL: A Step-by-Step Guide

  In recent years, GraphQL has emerged as a powerful alternative to REST for API development. Created by Facebook in 2012 and open-sourced in 2015, GraphQL offers a more flexible and efficient approach to data querying and manipulation. If you're considering migrating your existing REST APIs to GraphQL, this step-by-step guide will help you navigate the transition smoothly. - Source: dev.to / 26 days ago

• Using GraphQL with Node.js (e.g., Apollo Server)

  Feel free to check out the official documentation of Apollo Server and GraphQL for more detailed information on advanced topics and best practices. Happy coding! - Source: dev.to / 28 days ago

• Build a Personal Target Tracking Application with Flutter Riverpod and Strapi GraphQL

  Before starting the tutorial on developing a personal target tracking application with Flutter, Riverpod, Strapi, and GraphQL, ensure you meet the following requirements:. - Source: dev.to / about 1 month ago

• Difference between GraphQL, REST, and gRPC

  On the other hand, GraphQL is a query language for APIs that was developed by Facebook. It allows clients to specify exactly what data they need, and the server responds with only that data. - Source: dev.to / about 2 months ago

Apache Mesos mentions (9)

• Containers Orchestration and Kubernetes

  Even though this article will be focused on Kubernetes I want to mention that there are multiple container orchestration platforms such as Mesos, Docker Swarm, OpenShift, Rancher, Hashicorp Nomad, etc. - Source: dev.to / 23 days ago

• eBPF, sidecars, and the future of the service mesh

  I worked at several Bay Area startups, mainly in NLP and machine learning roles. I was part of a company called PowerSet, which was building a natural language processing engine and was acquired by Microsoft. I then joined Twitter in its early days, around 2010, when it had about 200 employees. I started on the AI side but transitioned to infrastructure because I found it more satisfying and challenging. We were... - Source: dev.to / 27 days ago

• Upgrading Hundreds of Kubernetes Clusters

  When we adopted Kubernetes at Criteo, we encountered initial hurdles. In 2018, Kubernetes operators were still new, and there was internal competition from Mesos. We addressed these challenges by validating Kubernetes performance for our specific needs and building custom Chef recipes, StatefulSet hooks, and startup scripts. - Source: dev.to / 3 months ago

• The 2024 Web Hosting Report

  In the beginning, there was docker. In 2013, building on linux internals, docker packaged containers for mass adoption and made it easy to share a complete runtime environment for an application across the network. Check out their first demo at PyCon 2013 (I was there!) At the time, serious workloads ran on something like Mesos, which was not “container-native” and had its own way of packaging and distributing... - Source: dev.to / 5 months ago

• World of Containers: Kubernetes vs. Docker

  Distribution of containers to servers, clusters, and data centers Keeping applications up and running with the required number of instances Upgrading applications without downtime These issues are also known as cloud-native characteristics of modern applications. Therefore, a need for container orchestration systems has arisen. There are three leading container orchestrators on the market: Docker Swarm... - Source: dev.to / 11 months ago