Apache Thrift might be a bit more popular than ProxySQL. We know about 12 links to it since March 2021 and only 10 links to ProxySQL. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Another option could be ProxySQL, where you can cache queries on the ProxySQL server. Source: about 1 year ago
Also, if you're not using it yet, I can recommend looking at ProxySQL to do your read-write/read-only failover controls. Source: over 1 year ago
What are the recommendations here? I took a look into ProxySQL and it looks like since v2, it can do frontend and backend SSL connections. I have it locally working on a docker setup. Source: over 1 year ago
DB: Split you write-read operations. You may scale read as needed. Write operations can be slow if you have too many indices, so make sure to use only the ones you really need. Your DBMS may have some configuration to optimise, for example in MySQL if you do NOT need ACID compliance you can set innodb_flush_log_at_trx_commit = 2 to achieve better write speed. For MySQL you should also look into https://proxysql.com/. Source: over 1 year ago
A Layer-7 Database Load Balancer is optional here. An L7-DBLB can be used for various use cases (eg: ProxySQL). One or more database instances handle queries from the web server. A Client-side DB query/connection load balancing can also be used instead of an L7-DBLB according to the use case of the application. - Source: dev.to / almost 2 years ago
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 / 4 months ago
Services in general communicate via Thrift (and in some cases HTTP). Source: about 1 year ago
Protocol Buffers is the most popular one, but there are many others such as Apache Thrift and my own Typical. Source: over 1 year ago
RPC is not strictly OO, but you can think of RPC calls like method calls. In general it will reflect your interface design and doesn't have to be top-down, although a good project usually will look that way. A good contrast to REST where you use POST/PUT/GET/DELETE pattern on resources where as a procedure call could be a lot more flexible and potentially lighter weight. Think of it like defining methods in code... Source: over 1 year ago
The information can be stored in a database or as files, serialized in a standard format and with a schema agreed with your Data Engineering team. Depending on your information and requirements, it can be as simple as CSV, XML or JSON, or Big Data formats such as Parquet, Avro, ORC, Arrow, or message serialization formats like Protocol Buffers, FlatBuffers, MessagePack, Thrift, or Cap'n Proto. - Source: dev.to / over 1 year ago
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