What are the free tools for high-performance in-memory database Redis?

1. Redis Memory Analyzer (RMA)

RMA is one of the most comprehensive FOSS memory analyzers available for Redis. It supports three different levels of detailed analysis. Global - overview of memory usage information; Scanner - memory usage information at the highest level keyspace/prefix level, that is, using the shortest common prefix; RAM - lowest level keyspace/prefix, that is, using the longest common prefix.

RMA provides a variety of advanced statistics in global mode, including number of keys, system memory, resident set size, key space size, etc. The only function is "key space overhead", that is, the memory used by the Redis system to store information related to the key space, such as pointers to list data structures;

In scan mode, get an overview of the key space. This system provides advanced namespaces, as well as the types of their elements and the percentage of memory occupied by the namespace. Detailed analysis combined with namespace patterns and "RAM" access behavior can be very useful.

In RAM mode, you can get the same keyspace-level memory consumption information as most other FOSS memory analyzers. Details will include information about memory used, actual data size, overhead, encoding, minimum and maximum values, and TTL. This helps pinpoint what are the biggest memory consumers in your system.

Although the last commit on GitHub is over a year old, the tool is not always updated. But even so, it's one of the best ways to do detailed memory analysis.

2. Redis Sampler

Redis Sampler is an incredibly powerful tool that enables a thorough understanding of a Redis instance's memory usage.. This tool is maintained by antirez, the developer behind Redis, and his in-depth knowledge of Redis is reflected in this tool.. The tool is not updated very frequently, but there are not many reported issues.

Redis Sampler performs a probabilistic scan of the database and reports the following information:

• Percent distribution of keys across various data types - based on the number of keys, not objects the size of.

• Maximum keys for string types based on strlen, and the percentage of memory they consume.

• For all other data types, the largest key is calculated and displayed as two separate lists: one based on the size of the object and the other based on the number of items in the object.

• Each data type presents a "power distribution of 2". This is useful for understanding size distribution within a data type. This sentence can be rewritten as: This output shows the percentage of the size of the key of the given type, greater than 2 x power and less than or equal to 2 x 1 power.

3. RDB Tools

For Redis administrators, RDB tools are a very useful tool suite. Although the RDB tool is not as comprehensive as RMA or Redis Sampler, it provides three important pieces of information.

1. The value (serialized) size of all keys is greater than B bytes [user-specified B]. 1. The maximum value of N is specified by the user; 2. The size of the specific key is read from the database in real time.

The kit has many active contributors on GitHub and is updated frequently. Maintainer Sripathi Krishnan is well known in the Redis community for the many tools he has provided over the years.

4. Redis-Audit

Redis-Audit is a probabilistic tool to quickly understand memory usage. It outputs useful information about key groups such as overall memory consumption, maximum TTL in the group, average last access time, percentage of expired keys in the group, etc. This is the perfect tool if you need to find the ones taking up the most memory. It switches key groups within your application. Moreover, it works on all Redis versions.

5. Redis Toolkit

Redis Toolkit is a basic monitoring solution that can be used to analyze two key indicators: hit rate and memory consumption. The project is updated regularly with bug fixes. Regardless of the Redis version, it has an easy-to-understand interface that gives you the exact information you need.

6. Harvest

Harvest is a probabilistic sampling tool that can be used to identify the 10 largest namespaces/prefixes based on the number of keys. As a new tool, it hasn't attracted much attention on GitHub. If you are new to Redis and want to confirm which application data occupies the instance, Harvest is a good choice. It only works with Redis v4.0 and above.

I have to say limitations of free tools

While these free tools are very helpful for debugging memory problems with Redis instances, you need to be aware of their limitations. These paid tools provide some form of data visualization, but they all require configuration before they can be used. The best results are CSV output, which can be visualized using other FOSS tools, and many tools don't even have that option, which makes the learning curve steep, especially for novice Redis users. If you need to perform memory analysis frequently, it is recommended to use a paid tool that provides excellent visualization capabilities.

Another limitation is the ability to store historical information. There is also no graph of memory consumption over time, and many cannot even analyze real-time data.

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