![mac os x apache tika automatic mac os x apache tika automatic](https://dingyuliang.me/wp-content/uploads/2017/02/tika-ocr-metadata.png)
The performance is reasonable and the implementation is quite simple for a requirement which needs a simple failover implementation. To do static load balancing I use the upstream concept of nginx which is documented again on the nginx website. I finally found an answer as to why this doesn’t work in some of my local environment. However there is a catch which prevents this technique from working on local development system (while the same config works in production linux instance). There is a good documentation of this feature on the nginx website which does a pretty good job. So technically a large json response becomes gzipped and the network latency as a result goes down. To tune performance of my REST endpoints in past I have enabled Gzip compression in my nginx server configuration. Nginx gzip compression and load balancing. This entry was posted in Java, Spring Boot, Tips and Tricks on Augby cyberaka. – Scale horizontally if the limits set above result in lot of traffic getting rejected. – Use a RateLimiter on your hot APIs (which have higher latency) and don’t let your application get abused beyond a limit. – Tweak Tomcat and keep a watch on the acceptCount parameter which technically puts in a limit of how much traffic reaches your Rest controller. The basic lesson learnt from this exercise: However I think the annotation driven RateLimiter is also a very good solution which is certainly very powerful and I will take it out for a spin sometime in near future. I was glad to find the RateLimiter implementation in Goggle Guava library which I ultimately ended up using (for now).
#Mac os x apache tika automatic how to#
I found a blog post entry from Netflix on how to tune Apache Tomcat and another article on how to tune Rest Controller code itself to implement a rudimentary Rate Limiter.
![mac os x apache tika automatic mac os x apache tika automatic](https://drek4537l1klr.cloudfront.net/mattmann/Figures/01fig05_alt.jpg)
I could have setup multiple instances and do some kind of auto-scaling but given limited budget and hardware I wanted to put in some hard limits on my Spring-Boot app as to how much traffic it can take in and when it can give up gracefully (there is no shame in rejecting traffic with HTTP status 503 if the server infrastructure is overloaded). I have explored and implemented caching but my problem was with excessive connections coming in and server itself becoming slow. plist-Files can be read with BBEdit, TextWrangler or the PropertyList Editor from the Apple Developer-Tools.One of my Spring-Boot projects was battling with overloaded CPU and unresponsive / slow server response at times when there is more traffic. Make sure you do not delete the wrong files! This may lead to a fatal situation on your machine. To remove a object from auto-start use launchctl on the terminal to remove it from the actual launchd and then simply delete the file. plist-files, that define when and what to start. To do it manually, you need to find the launchd-folders: ~/Library/LaunchAgents Open the System-Preferences > Users > Select your user > Start-ObjectsĬheck if there is something started you want to deactive and do so if.Ģ) Normally the start of apache is handled by the launchd-service: You can either change this manually, or with the help of a old little tool named " Lingon". 1) The autostart is usually not in the User-Autostart-Items, but you should check them anyway: