#BOOK ANNOTATIONS HOW TO#

Although I have danced with tabbing books, but my system wasn’t organised haha. 💬 Related Post: My Book Buying Process as I Build My Dream LibraryĪs someone who doesn’t really review…I don’t really take notes at all. My conversation with the author habit returned and I found myself reacting to plot developments in the book! Not to mention that I enjoy writing little notes to myself while I try to piece together the plot or suss out a murderer. I’d gotten so used to heavily annotating my books – especially on Kindle – that I really came to rely on it for reviewing. It also was a lot easier when it came to reviewing because I just had to scroll through my notes section to refresh my memory on my thoughts while reading.

Reading books electronically was something I took to fairly quickly because of how I could annotate the book to hell and back. (And being a lot less confused while reading books with multiple points of view.) I pretty quickly took advantage of the different colors available for highlighting to take notes on four key things: world-building, quotes for review, character development (/keeping them straight), and romance-y bits. (I love writing in my books.) Color-Coded Notes on KindleĪnnotating on Kindle actually led to me being far more organized. Up until then, my reading skewed heavily to the physical format and as you’ve seen, I have no qualms writing directly in my books. 9.It all started with reading eARCs on the Kindle app in 2017. In this example, we created a pointcut that matches all the methods in classes annotated with Then we used the advice to target that pointcut, and determine the execution time of the intercepted methods calls.įurthermore, using this approach, we can add logging, performance management, audit, and other behaviors to each application layer. 'Execution of ' + methodName + ' took ' + String methodName = joinPoint.getSignature().getName() Object returnValue = joinPoint.proceed() Public void repositor圜lassMethods() Object measureMethodExecutionTime(ProceedingJoinPoint joinPoint) We'll create the following aspect (using AspectJ annotations), taking advantage of the stereotype: class PerformanceAspect *)') > Debugging REST Requests in Spring-Based applications using the Lightrun Platformįor instance, suppose we want to measure the execution time of methods from the DAO layer.

#BOOK ANNOTATIONS HOW TO#

Learn how to debug a live REST API (built with Spring, of course), using Lightrun, in this 5-minute tutorial: Performance and security are maintained throughout the process. You can add logs, metrics, and snapshots (think breakpoints, but without stopping the running service), in a safe and read-only manner - without redeploying, restarting, or even stopping the running service.

With Lightrun, you can get the same level of access you get with a local debugger or profiler - no downtime required. In short, working over HTTP can be a bit of a mess without solid tooling.Īlso, while it’s easy enough to debug these issues locally when developing the application, we’re talking about production here - we can’t afford the downtime while you’re stepping in and out of code. Sometimes a request can even succeed and fail intermittently on the same exact request. A request can get a 200 OK in one scenario and a 409 next time. Flakiness in REST requests is a common issue.

Book annotations