SLF4J VS Guava

A few years ago, my team moved from Java to Go. Working on Go projects, we encountered a wide variety of logging frameworks with different APIs, configuration, and formatting. We soon found ourselves longing for a logging abstraction layer like Java’s slf4j, which had proven invaluable for use in reusable libraries or configuring and debugging production systems. So, not long after moving to Go, we began working toward replacing what we had lost in slf4j.

I'm not familiar with Serilog as I code mostly in Java, use slf4j (logs to stdout) and our apps send logs to Cloudwatch using the task definition's awslogs configuration. I prefer it this way because I can customize the log configurations in my task definitions. Also the default stream name has this format prefix-name/container-name/ecs-task-id so I can easily identify the logs of the task I want to look at. I haven't experienced any downsides with this approach and our apps publish a shit ton of logs. Cloudwatch approach looks like you can customize the stream name?

slf4j is open source. You can look at the code.

Java -> Logback, Log4j2, JDK (Java Util Logging), Slf4j, e.t.c.

slf4j para padronização dos logs;

SLF4J

> My God. Logging in protobuf?

Yes, or any other data format and/or transport protocol.

I'm surprised this is up for debate.

> Logging is the lowest of all debugging utilities - its the first thing you ever do writing software - “hello world”. And, while I admire structural logging, the truth is printing strings remains (truly) the lowest common denominator across software developers.

This sort of comment is terribly miopic. You can have a logging API, and then configure your logging to transport the events anywhere, any way. This is a terribly basic feature and requirement, and one that comes out of the box with some systems. Check how SLF4J[1] is pervasive in Java, and how any SLF4J implementation offers logging to stdout or a local file as a very specific and basic usecase.

It turns out that nowadays most developers write software that runs on many computers that aren't stashed over or under their desks, and thus they need efficient and convenient ways to check what's happening either in a node or in all deployments.

[1] https://www.slf4j.org/

The first problem is at the level of Type System, given that a situation more correct would allow us to distinguish through the Collection Type which abstraction we are operating with, species if definable as mutable or immutable. The JCF was born at a time when great care was taken to offer immediate operational data structures, and with attention to performance, but with less attention to constructs or uses that are now seen as common. These concepts have been taken up by other infrastructures from which we certainly cannot fail to mention: Eclipse Collection, Guava Collections, and VAVR.

Even better is getting Gradle/Maven to correctly pull "plain" vs "Android" versions of the package instead of them just publishing the diverging code base as two repository packages.

https://github.com/google/guava/issues/2914

I'll admit I'm surprised to see that BOMs have been documented on maven.apache.org since mid-2008. It looks like Spring, for example, didn't adopt them until mid-2014. I don't know how widely they caught on in other areas. The first discussion of them in the context of Guava may have been in 2018, as I don't see mention of them in the various issues from 2011-2015 (#605, #1329, #1471, #1954.

And a quick peek at the source code for ImmutableList seems to confirm this (https://github.com/google/guava/blob/master/guava/src/com/google/common/collect/ImmutableList.java - it goes via a bunch of methods, but ends up using Arrays.copyOf(), which creates a fixed-size array).

The guava library of Java has some of these data structures implemented: https://github.com/google/guava/wiki/ImmutableCollectionsExplained , but implementations of the above book in many languages can be found on github (say, this one for Haskell: https://github.com/aistrate/Okasaki )

Java Mask: Java Mask is a library that offers various string masking techniques for sensitive data such as credit card numbers, email addresses, and more. You can find the library at: https://github.com/miguelfreitas93/java-mask DataMasker: DataMasker is a Java library specifically designed for masking sensitive data, including credit card numbers, using customizable masking patterns. Visit the GitHub repository for more information and usage examples: https://github.com/GDSSecurity/DataMasker Maskify: Maskify is a simple Java library that can be used to mask credit card numbers, Social Security numbers, and other sensitive information. You can find the library at: https://github.com/jonathancarvalhoalves/maskify CreditCardUtils: This is a lightweight Java library that provides utility methods for validating, formatting, and masking credit card numbers. Visit the GitHub repository for more information: https://github.com/malkusch/creditcardutils Google Guava: Google Guava is a popular set of Java libraries containing a wealth of utilities for working with strings, collections, and more. While not specifically designed for masking credit card information, you can use Guava's string manipulation methods to mask sensitive data: https://github.com/google/guava

I mean, I guess, technically? If you define it like that, then Microsoft has people working for them for free, as does Google, as does Apple, etc. It's not that weird, and you can try to twist it to be weird, but those of us in the software industry largely regard this as a good thing.

So we have https://github.com/google/guava/issues/4011

Ok, so let's implement our lazy initialization more smartly to avoid acquiring the lock every time and use old fashion but still working double-checked locking. I've found it implemented by Suppliers.memoize in guava library.