feat: ⬆️ Dependencies update

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "rrdcached-client"
-version = "0.1.1"
+version = "0.1.2"
 edition = "2021"
 description = "A RRDCached (RRDtool) client library"
 license = "Apache-2.0"
@@ -11,9 +11,9 @@ repository = "https://github.com/SINTEF/rrdcached-client"
 include = ["README.md", "LICENSE", "src/*.rs", "Cargo.toml", "Cargo.lock"]
 
 [dependencies]
-tokio = { version = "1.36", features = ["full"] }
+tokio = { version = "1.39", features = ["full"] }
 nom = "7.1"
 thiserror = "1.0"
 
 [dev-dependencies]
-serial_test = "3.0"
+serial_test = "3.1"

README.md

@@ -8,18 +8,33 @@ RRDtool databases are time series databases using a round-robin data structure.
 
 While this technology fell out of fashion compared to the more modern time series databases, such as Prometheus or InfluxDB, it is still appreciated because it is simple and works well for some workloads.
 
+## Installation
+
+Add this to your `Cargo.toml`:
+
+```toml
+[dependencies]
+rrdcached-client = "0.1"
+```
+
 ## Example
 
 ```rust
 let mut client = RRDCachedClient::connect_tcp("localhost:42217")
     .await?;
 
-create_simple_rrd(&mut client, "hello".to_string()).await;
+client.create("hello", &[
+    RRA::Gauge {
+        xff: 0.5,
+        steps: 1,
+        rows: 10,
+    }
+]).await?;
 
 client.update_one("hello", None, 4.2).await?;
 ```
 
-## Running a RRDCached server.
+## Running a RRDCached server
 
 The repository includes a Dockerfile to quickly run an RRDCached server for testing and development purposes. It listens on localhost:42217 (tcp).
 
@@ -50,4 +65,4 @@ As the license says, there is no warranty for this free software. It has been de
 
 The unit and integration test coverage is relatively high, and the library is designed to be safe and robust, thanks to the great Rust ecosystem. But it's a young project, and it must have bugs.
 
-You should probably use a more modern time series database in production. But you may be an RRDTool enthusiast and find this library useful.
+You should probably use a more modern time series database in production. But you may be an RRDTool enthusiast and find this library useful.