Laravel makes it a cinch to configure these handlers, allowing you to mix and match them to customize your application's log handling.Īll of the configuration options for your application's logging behavior are housed in the config/logging.php configuration file. Under the hood, Laravel utilizes the Monolog library, which provides support for a variety of powerful log handlers. Log messages may be written to multiple channels based on their severity. For example, the single channel writes log files to a single log file, while the slack channel sends log messages to Slack. Each channel represents a specific way of writing log information. This means that the Fly Log Shipper collects logs from all your applications.To help you learn more about what's happening within your application, Laravel provides robust logging services that allow you to log messages to files, the system error log, and even to Slack to notify your entire team. The NATS log stream is scoped to your organization. Let's go ahead and follow those instructions (they're similar to what you see on the Log Shipper repo). If you sign up for Logtail, it helpfully gives you instructions on setting that up with Fly.io. ![]() The process is the same no matter what log aggregator you use. If your log aggregator doesn't know Fly.io exists, that's fine. Logtail actually lets you set Fly.io as a source of logs, but as we can see, we're actually just telling Vector to send logs somewhere. I liked the look of Logtail, so I tried out its free tier. A sink is a "driver" that Vector will ship logs to, for example Loki, Datadog, or (bless your heart) Cloudwatch. This app configures a Vector sink of your choosing, and runs Vector. To ship your logs, you can run an instance of the Fly Log Shipper. Vector can do just that! It's fairly simple - in fact, we've done the work for you: The Fly Log Shipper™ To get your logs, all you need is an app that acts as a NATS client, reads the logs, and ships them somewhere. NATS is the fun part! You can hook into NATS (via Flaps) to get your logs. Flaps ensures you only see your own logs. We call this proxy "Flaps" (Fly Log Access Pipeline Server™, as one does). In true Fly.io fashion, a proxy sits in front of NATS. Clients can subscribe to specific topics, and NATS sends the requested data to those subscribers. For the sake of simplicity, let's call NATS a "fancy, clustered pubsub service". In this case, those logs (your app's output) are shipped to an internal NATS cluster. ![]() Vector's job is to ship logs to other places. Outside of the VM, on the host, a bit of Golang takes that output and sends it to Vector via yet-another socket. The init program (really just a bit of Rust that we named init) is, among other things, gathering process output from stdout and shooting it into a socket. Since we build VM's from Docker images, init is taking ENTRYPOINT + CMD and running that. Inside the VM, we inject an init process (pid 1) that runs and monitors your app. Logs are constantly flowing through Fly.io's infrastructure. Since we grab stdout from the processes run in your apps, whatever an app outputs becomes a log.
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