That doesn’t mean the rest of your code (API Clients, Actions, Services) shouldn’t be catching exceptions. Catching an exception in the queued job makes it very easy to retry it as needed. For instance, catching an exception in the controller makes it very easy to return an error response to the user. The closer to the top you are when actually handling exceptions (retry, send notifications, update state in the database, etc), the better. Handle exceptions as close to the top as possible If your error handling code feels a bit messy, ask yourself if you can maybe throw a specific exception or two at lower levels. Using domain-based exceptions, you can hide implementation details, while making it a lot more manageable and readable for the user or your own application. How do you get better information about an error with this type of approach? This is fine, but what happens when you start having more than just two states (success or failure?). One common exception I see in code is a return of either the resource, false, or null. Errors are things we try to prevent, while exceptions can happen even in the most stable environment. Exceptions are your friendĮxceptions are not just errors. You can also use something like the failed job monitor to get notified of those things.Īlso you can use our queue-batch-retry package to retry specific jobs in batches and save some of your precious time. It can have some very valuable informations on things that are failing and you may not even know they are failing. If you are using Laravel, make sure to keep an eye on your failed_jobs table. Simply logging some of the data in case of final failure can make it possible to get things running quickly when all systems are stable again. How bad is it if you lose that request data? How can you save it? In a situation where something like AWS us-east-1 is down, the best you can do is have a plan in place to deal with these types of situations. Better odds with retriesĮven with retries, your code can still fail. Now let’s focus on how to better deal with failures in code. There’s a lot more to know about logging, monitoring, and alerting, but those are key basics. Key routines start taking more time than they should. This means that a key part of the system isn’t working If NO logs with a specific message come in.When the rate of errors coming in increases.When any CRITICAL (or above) log happens.Here are some examples of alerts triggers: are key for configuring alerts to appear in different channels, such as email and slack, based on how significant the errors are. Centralized logging platforms like EKS, Papertrail, Datadog, etc. All errors should be made visible in a way that helps you notice and fix issues before your users start reporting. Just logging the errors somewhere isn’t enough. Laravel comes with an extensive exception handler making it easy to add context, render specific errors, and so on. It’s better to tell someone something they already know than to not tell them something they needed to hear.” - Alex Irvine Use a generalized error handling mechanism that logs errors with the most information possible. You should definitely implement error handling for all the things you know can happen, and for HOW they’ll happen (a few tips for this below), but it’s impossible to predict everything that could go wrong. There’s no way to plan for every error out there. We can do better than programming with the expectation of success and writing TODOs to handle the errors “when we have time.” You can’t predict them all However, there are a few helpful PHP and Laravel strategies that can be implemented on any language or framework. In any software, there are way more error paths than successful ones. And hopefully, give you a better night of sleep. Writing code that can deal with these situations helps you avoid common incidents, unnecessary alerts, and noisy logs. There’s a number of factors outside of your control that can cause failure, things like a network blip, infrastructure, outages, unhandled exceptions, cascading failures, and so on. If there’s one thing that’s certain, it’s that your code will fail. By Luis Dalmolin “It has been estimated that up to 90% of an application’s code is related to handling exception or error conditions.
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