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Envoy proxy, the data plane of Istio service mesh, is used for handling east-west traffic ( service-to-service communication within a data center). However, to make Istio manage a network of multicloud applications, Envoy was configured as a sidecar proxy for handling north-south traffic (traffic in and out of data centers).
It was observed that application developers found it difficult to configure Envoy proxy as an API gateway and ingress controller. This was time-consuming, which led the community to use Kubernetes Gateway API as a part of the Envoy project and eventually build Envoy Gateway.
GitHub contributions refer to the activities and contributions made by users within the GitHub platform. They are a way to track and quantify a user's involvement and contributions to repositories, projects, and the GitHub community. GitHub provides various metrics to measure and showcase a user's contributions. Automating GitHub contributions can offer several benefits, including efficiency and time savings, accurate and consistent tracking, real-time visibility, data-driven insights, motivation, and recognition. It optimizes efficiency, fosters collaboration, and enhances transparency within development teams, ultimately contributing to improved productivity and project outcomes. In this article, we will explore how you can automate your team's GitHub contributions using GraphQL.
GitHub GraphQL is a query language and API (Application Programming Interface) that allows developers to retrieve and manipulate data from GitHub in a flexible and efficient manner. It is an alternative to the traditional REST (Representational State Transfer) API provided by GitHub.
The evolution of databases has been remarkable over the years. The traditional relational databases dominated the industry for several decades. However, with the growth of the internet, social media, and big data, NoSQL databases have gained popularity due to their ability to handle large amounts of unstructured and semi-structured data. In recent years, NoSQL databases have gained immense popularity due to their ability to handle large amounts of data and their flexibility in data modeling. NoSQL, which stands for "not only SQL," is a term used to describe a class of non-relational databases that provide a flexible data model and can scale horizontally to handle large amounts of data.
NoSQL databases are designed to be highly scalable and flexible, making them ideal for handling large amounts of data in real-time. They offer a variety of data storage models such as key-value, document-oriented, column-family, and graph databases. In this article, we will explore the different types of NoSQL databases and their advantages over traditional relational databases.