Thoughts on my own. Posts not reflect the opinions of my past or current employers. More about me: diegopacheco.github.io
Lo4j2 Async Logger and Benchmark
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Lo4j is an old logging framework. Sometime ago Logback was faster than lo4j. Now, lo4j2 is the fastest and coolest kid on the block. Logs are the eldest and primitive form of observability. IMHO observability has many different use cases such as Troubleshooting, Business Discovery, Performance Troubleshooting, Reliability Assurance, and Testing. IMHO you could use logs for all those use cases, however, IMHO logs are best suited for troubleshooting and metrics and better suited for general observability. Logs can destroy application performance and often are the number 1 culprit of slowness. Log4j2 makes logging faster due to async logging and LMAX Disturptor as the secret source. However I would question if you just use logs nor dont use metrics and traces.
For this blog post, I want to share how to use Log4j2 async logging and also a very simple logging benchmark. So I made a simple video. 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
