Baike.dev
All toolsOnline toolsAI codingTrendingOpen sourceNewsSubmit
Log in
< Back to tools
U

uhaha

> 编程语言
Open source

High Availability Raft Framework for Go

658 stars0 likes0 views
WebsiteGitHub

About

High Availability Raft Framework for Go

High Availabilty Framework for Happy Data

Uhaha is a framework for building highly available Raft-based data applications in Go. This is basically an upgrade to the Finn project, but has an updated API, better security features (TLS and auth passwords), customizable services, deterministic time, recalculable random numbers, simpler snapshots, a smaller network footprint, and more. Under the hood it utilizes hashicorp/raft, tidwall/redcon, and tidwall/wal.

Features

  • Simple API for quickly creating a custom Raft-based application.
  • Deterministic monotonic time that does not drift and stays in sync with the internet.
  • APIs for building custom services such as HTTP and gRPC. Supports the Redis protocol by default, so most Redis client library will work with Uhaha.
  • TLS and Auth password support.
  • Multiple examples to help jumpstart integration, including a Key-value DB, a Timeseries DB, and a Ticket Service.

Example

Below a simple example of a service for monotonically increasing tickets.

…

Building

Using the source file from the examples directory, we'll build an application named "ticket"

go build -o ticket examples/ticket/main.go

Running

It's ideal to have three, five, or seven nodes in your cluster.

Let's create the first node.

./ticket -n 1 -a :11001

This will create a node named 1 and bind the address to :11001

Now let's create two more nodes and add them to the cluster.

./ticket -n 2 -a :11002 -j :11001
./ticket -n 3 -a :11003 -j :11001

Now we have a fault-tolerant three node cluster up and running.

Using

You can use any Redis compatible client, such as the redis-cli, telnet, or netcat.

I'll use the redis-cli in the example below.

Connect to the leader. This will probably be the first node you created.

redis-cli -p 11001

Send the server a TICKET command and receive the first ticket.

> TICKET
"1"

From here on every TICKET command will guarentee to generate a value larger than the previous TICKET command.

> TICKET
"2"
> TICKET
"3"
> TICKET
"4"
> TICKET
"5"

Built-in Commands

There are a number built-in commands for managing and monitor the cluster.

…

And also some client commands.

bash
QUIT                                    # close the client connection
PING                                    # ping the server
ECHO [message]                          # echo a message to the server
AUTH password                           # authenticate with a password

Network and security considerations (TLS and Auth password)

By default a single Uhaha instance is bound to the local 127.0.0.1 IP address. Thus nothing outside that machine, including other servers in the cluster or machines on the same local network will be able communicate with this instance.

Network security

To open up the service you will need to provide an IP address that can be reached from the outside. For example, let's say you want to set up three servers on a local 10.0.0.0 network.

On server 1:

bash
./ticket -n 1 -a 10.0.0.1:11001

On server 2:

bash
./ticket -n 2 -a 10.0.0.2:11001 -j 10.0.0.1:11001

On server 3:

bash
./ticket -n 3 -a 10.0.0.3:11001 -j 10.0.0.1:11001

Now you have a Raft cluster running on three distinct servers in the same local network. This may be enough for applications that only require a network security policy. Basically any server on the local network can access the cluster.

Auth password

If you want to lock down the cluster further you can provide a secret auth, which is more or less a password that the cluster and client will need to communicate with each other.

bash
./ticket -n 1 -a 10.0.0.1:11001 --auth my-secret

All the servers will need to be started with the same auth.

bash
./ticket -n 2 -a 10.0.0.2:11001 --auth my-secret -j 10.0.0.1:11001
bash
./ticket -n 2 -a 10.0.0.3:11001 --auth my-secret -j 10.0.0.1:11001

The client will also need the same auth to talk with cluster. All redis clients support an auth password, such as:

bash
redis-cli -h 10.0.0.1 -p 11001 -a my-secret

This may be enough if you keep all your machines on the same private network, but you don't want all machines or applications to have unfettered access to the cluster.

TLS

Finally you can use TLS, which I recommend along with an auth password.

In this example a custom cert and key are created using the mkcert tool.

bash
mkcert uhaha-example
# produces uhaha-example.pem, uhaha-example-key.pem, and a rootCA.pem

Then create a cluster using the cert & key files. Along with an auth.

bash
./ticket -n 1 -a 10.0.0.1:11001 --tls-cert uhaha-example.pem --tls-key uhaha-example-key.pem --auth my-secret
bash
./ticket -n 2 -a 10.0.0.2:11001 --tls-cert uhaha-example.pem --tls-key uhaha-example-key.pem --auth my-secret -j 10.0.0.1:11001
bash
./ticket -n 2 -a 10.0.0.3:11001 --tls-cert uhaha-example.pem --tls-key uhaha-example-key.pem --auth my-secret -j 10.0.0.1:11001

Now you can connect to the server from a client that has the rootCA.pem. You can find the location of your rootCA.pem file in the running ls "$(mkcert -CAROOT)/rootCA.pem".

bash
redis-cli -h 10.0.0.1 -p 11001 --tls --cacert rootCA.pem -a my-secret

Command-line options

Below are the primary command line options.

…

Issues· 0 open

View all issuesOpen on GitHub

No open issues yet, or sync has not completed.

> Tags

Gofault-tolerantframeworkhigh-availabilityraft

No comments yet. Be the first to share.

> Details

PublishedAug 1, 2026
UpdatedSep 17, 2026
Category编程语言
PricingOpen source

> Related tools

T
TypeScript
JavaScript 的超集,为前端与全栈提供静态类型
P
Python
通用编程语言,广泛用于 Web、数据与 AI
G
Go
Google 推出的简洁高效系统语言