gRPC Reviews

NewRelic Reviews

gRPC mentions (88)

• 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 / 11 days ago

• Difference between GraphQL, REST, and gRPC

  And, gRPC is a high-performance, open-source protocol used for creating APIs. It uses Google's Protocol Buffers as a data format and provides support for streaming and bi-directional communication. - Source: dev.to / 18 days ago

• Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard

  gRPC, built on HTTP/2, inherently supports flow control. The server can push updates, but it must also respect flow control signals from the client, ensuring that it doesn't send data faster than what the client can handle. - Source: dev.to / 2 months ago

• Delving Deeper: Enriching Microservices with Golang with CloudWeGo

  While gRPC and Apache Thrift have served the microservice architecture well, CloudWeGo's advanced features and performance metrics set it apart as a promising open source solution for the future. - Source: dev.to / 3 months ago

• Dart on the Server: Exploring Server-Side Dart Technologies in 2024

  The Dart implementation of gRPC which puts mobile and HTTP/2 first. It's built and maintained by the Dart team. Grpc is a high-performance RPC (remote procedure call) framework that is optimized for efficient data transfer. - Source: dev.to / 4 months ago

NewRelic mentions (81)

• Cleaning routines to keep your project without bugs

  *1. New Relic *— it’s a tool to check on the slow performance of your app. If any action of the user takes longer than usual, NewRelic will inform you about that. - Source: dev.to / 20 days ago

• Caching in depth

  Tip: You can use tools like DataDog, perf (Linux), New Relic etc. To monitor cache performance. - Source: dev.to / about 2 months ago

• How to Handle N+1 Queries for Optimal Database Performance in Django?

  Using APM tools like NewRelic, Sentry, Datadog, etc to monitor the performance of your application and while you're on it, they can help you identify N+1 queries. - Source: dev.to / 2 months ago

• How to improve page load speed and response times: A comprehensive guide

  These tools track server and underlying infrastructure and backend performance. They monitor several metrics, like disk I/O, CPU and memory usage, network traffic, and more. Some examples of these tools include New Relic, Datadog, and AppDynamics. Web administrators can use them to see what's causing slow SRT, like high CPU usage or network traffic. Server-side monitoring tools also provide real-time alerts to... - Source: dev.to / 3 months ago

• Experience Continuous Integration with Jenkins | Ansible | Artifactory | SonarQube | PHP

  11 Application performance: Before we even perform a deployment, we should configure monitoring tools like Retrace, DataDog, New Relic, or AppDynamics to look for performance problems, hidden errors, and other issues. During and after the deployment, we should also look for any changes in overall application performance and establish some benchmarks to know when things deviate from the norm. - Source: dev.to / 3 months ago