Thoughts on my own. Posts not reflect the opinions of my past or current employers. More about me: diegopacheco.github.io
Concurrency in Rust
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Rust has amazing support for concurrency programming. Today I will cover Mutex, Rc, RefCell, Channels, and Threads. I might make a second post covering the rest of the concepts like Arc. Rust dont have green threads since focus on having zero cost of abstractions. However, using channels we have a powerful abstraction to work with threads. Combined with Rc/Arc and RefCell/Cell we have a good foundation for good concurrency programs. Today I want to share 4 small pocs and 4 videos about Mutex, Rc/RefCell, Threads, and Channels in Rust. Let's get started!
Kafka Streams is a Streaming library similar to Spark and Flink which works with Apache Kafka. Kafka stream can be useful to process historical and near-real-time big data workloads but also for non-realtime analytical computations at scale for the online world as well. Kafka-Streams is elastic, highly scalable, fault-tolerant, and fully integrated with Kafka. You can use Kafka Stream with Java, Scala, Kotlin JVM applications and also have exactly-once processing semantics. Kafka-Streams is being used by the New York Times, Pinterest, Line, Trivago, Zalando, and many other companies. Today I want to share a video of Kafka-Streams running with Kafka 2.6 and Java JDK 15. So Let's get started.
Rust does not stop for one second to amaze me. It looks like Rust was designed to talk to every other language so easily. No kidding, it's clear way Web Assembly and rust have lots in common. Java is never an easy lang to interop with. Today I will show how easily we can interop Java & Rust. In order to do so, we will need to use the Java and Rust compilers. For Java, we will not require any other lib than the standard JDK. For Rust, we will need to create a lib project in cargo and we will need to use the crate JNI. I love this feature because java does not allow low-level code on the main language. So if we need to do something low level, efficiently Rust is my first choice, not only for safety reasons but because is really fast. Let's get started.
In 2018 AWS CTO(Vogels) said : "Security is everyone's job". For the last 2 years, there was so many famous and big data leaks and breaks that made that statement be very true more than ever. Security often could mean worst performance and worst user experience so in order to get it right you really need to think about the designs before jumping into to code and consider performance and user experience has main requirements. I was thinking about writing about how to do HMAC in Java for a while and recently Redis 6.0.0 come out and to my surprise, there was a refactoring on the password part in order to use HMAC. Security easily could scare engineers often because it is not something well spread yet but I believe this will change soon. It does not matter if you have to deal with PII Data or not, security is super relevant because everybody is running their workloads at the cloud or with IoT and Edge devices which means more distribution, more code, more points of fail
