pikaur Reviews

gRPC Reviews

pikaur mentions (4)

• Using pikaur, how would I disable asking me "Do you want to edit PKGBUILD for <package_name> package? [Y/n]"

  Have a look here. Did you not search for the answer? That's part of the Arch(based) ethos. We tend to like to learn by reading whatever is required. :). Source: about 1 year ago

• Nala v0.10.0 - Nala's A Legible Apt

  I was also looking for something nicer for Arch, but haven't found anything as nice as Nala. For now, I switched to pikaur, which at least displays updates in a much clearer way. Source: almost 2 years ago

• I created a tool to install AUR packages in 1 click from the website: Aurin

  Nice, but this definately needs a dependency resolver, otherwise it can only install a fraction of the available AUR packages. Since you're already using python, you may adapt your whole code on top a another python-based AUR helper like pikaur. You maybe also could take at the dep resolver of my ABS project. It's python, too, maybe not as clean as pikaur's code but simpler and not too integrated. Source: over 2 years ago

• Which AUR-helper is recommended?

  I've been using pikaur ever since pacaur became abandonware and I'm very happy with it, can't recommend it enough. Sure, it's not implemented in Rust or Go so it's certainly not as cool as yay or paru but that doesn't really matter much to me, being an end user. I don't really care as long as it does its job, as advertised. Source: about 3 years ago

gRPC mentions (92)

• Performance and Scalability for Database-Backed Applications

  We can take the previously mentioned idea of partitioning the database further by breaking up an application into multiple applications, each with its own database. In this case each application will communicate with the others via something like REST, RPC (e.g. gRPC), or a message queue (e.g. Redis, Kafka, or RabbitMQ). - Source: dev.to / 29 days ago

• Text-based language processing enhanced with AI/ML

  Aside from the obvious differences in client library nomenclature and use of different credentials, API usage is fairly similar. Not visually obvious is that the older platform client library calls the REST versions of the GCP APIs whereas the newer product client libraries call the gRPC versions which generally perform better... Yet another reason why the product client libraries are always recommended. - Source: dev.to / 13 days ago

• Fastly and the Linux kernel

  The open source projects Fastly uses and the foundations we partner with are vital to Fastly’s mission and success. Here's an unscientific list of projects and organizations supported by the Linux Foundation that we use and love include: The Linux Kernel, Kubernetes, containerd, eBPF, Falco, OpenAPI Initiative, ESLint, Express, Fastify, Lodash, Mocha, Node.js, Prometheus, Jenkins, OpenTelemetry, Envoy, etcd, Helm,... - Source: dev.to / 19 days ago

• Best Practices for Building Microservices with NestJS

  Choose a consistent communication protocol for inter-service communication. Common protocols include HTTP, gRPC, and message brokers like RabbitMQ or Kafka. NestJS supports various communication strategies, allowing you to choose the one that best fits your needs. - Source: dev.to / about 1 month ago

• Why Did Google Choose To Implement gRPC Using HTTP/2?

  gRPC is an open-source high-performance RPC framework developed by Google. The design goal of gRPC is to run in any environment, supporting pluggable load balancing, tracing, health checking, and authentication. It not only supports service calls within and across data centers but is also suitable for the last mile of distributed computing, connecting devices, mobile applications, and browsers to backend services.... - Source: dev.to / about 2 months ago