FAQs

RedisInsight is a browser based GUI for Redis. It lets you do the following -

• Browse
  • View real time metrics from redis
  • Create tabular views from your redis keys and export data in different formats
  • Perform CRUD operations using the web based CLI
  • Visualise and update data from Streams, RedisGraph, RediSearch and RedisTimeSeries.
• Analyse
  • Analyze memory used by redis by keys or key patterns, by expiry, by data types or or the internal encoding
  • Filter keys by number of elements or by memory, and identify top keys
  • Profile redis to list keys or commands redis is executing
• Bulk Actions
• Configure
  • View and modify redis configuration
  • View list of clients and kill specific clients

RedisInsight lets you reduce memory used by redis, which usually translates to a proportional cost reduction. It also helps you identify common latency issues, and perform routine administrative tasks on your redis server.

We open sourced redis-rdb-tools in 2012 as a way to analyze the RDB file, and will continue to support the open source version. The open source version is meant to be a library and command line utility. It is a fundamental building block for RedisInsight. RedisInsight is free to use but is closed source.

Currently, RedisInsight supports single node redis instances. Redis Cluster support is experimental, but not all features work. If you wish to use RedisInsight for Redis Cluster, send us an email at redisinsight@redislabs.com and we can try to accommodate your use case.

Yes, RedisInsight is fully compatible with Redis Labs Enterprise version.

We support Redis Cloud, Redis Cloud Pro, AWS Elasticache and Azure Redis Cache. That said, RedisInsight should work with any cloud provider as long as you run it on a host that has network access to your cloud based redis server. Send us an email at redisinishg@redislabs.com if you would like to use RedisInsight on a cloud provider that we haven't listed.

This depends on how large your dataset and the host on which you are running your docker container. Empirically, expect 30s per GB of RAM analyzed.

In online mode, RedisInsight connects to your redis server, downloads the entire data set, and then analyzes it in a background process. To download the data set from redis server, one of two approaches is used. If the server allows it, we use the SYNC command to download a RDB file. If the server blocks SYNC, we use SCAN + DUMP in an loop.

The overhead is mimimal. If SYNC command is supported, the overhead is the same as connecting a slave for a short duration. If SYNC command is disabled, we run the SCAN command followed by DUMP in a pipeline. Neither approach blocks your redis server.

In the offline mode, RedisInsight downloads a RDB file from a S3 bucket you specify. This RDB file is then analyzed in a background process.

Zero overhead, since we do not need to connect to your redis server

We look at the internal structures redis needs to allocate to store the key and determine the memory consumption. We also account for allocator overheads, as well as differences between redis versions.

The memory used by a key is based on heuristics, and is usually within 10% of the actual consumption.

Key pattern is a grouping of related keys, for example users:*. RedisInsight can show you total memory consumption by key pattern, and also the biggest keys within that key pattern.

We assume that you use colon as a separator. If you use a non-standard separator, you will have to add key patterns manually.

First, this will work only if you have RedisInsight running on your local computer. Depending on your docker version, you can use one of these host names instead of localhost - docker.for.mac.localhost, docker.for.win.localhost or host.docker.internal. If none of those host names work, find the ip address of your computer (usually starts with 192.x.x.x), and use that ip address instead of localhost.

You must install RedisInsight inside your VPC, either on an EC2 instance, or using ECS or Fargate. See EC2 Installation Instructions

Our licensing works on the sum of used memory on the redis instances you have added to RedisInsight. So if your license allows 15GB, you can add 5 redis instances using 3 GB RAM, or 1 redis server using 15 GB.

We run the info command and look at used_memory to determine the memory used by redis.

Once you buy a license, you can use RedisInsight forever as long as you are within your usage limits. Additionally, you are eligible for software upgrades for 1 year from the date of purchase. After a year, you will no longer receive updates, but can continue to use the version of RedisInsight you last downloaded.

Once you complete payment, you will receive an email with your license key.

We provide RedisInsight as a docker container that you install and run on your hardware or cloud account. We do not have any ability to connect to your installation of RedisInsight or look at data within your redis servers.

We recommend installing HTTPS, whitelisting IP addresses that have access to RedisInsight and/or making it available within your VPN/internal network. Additionally, choose a strong admin password.

We use google analytics so that we can understand how customers use the software. Per google analytics terms and conditions, we do not track any personally identifiable information.