monitoring

I have been trying to make sense out of the whisper-info.py output and it seems a little cryptic to me. Currently this is my setup: storage-schema.conf [carbon] pattern = ^carbon\. retentions = 60:90d [stats] pattern = ^stats.* retentions = 30s:6h,1min:30d,10min:360d,30min:720d,1h:1825d,1d:1825d [everything_else] pattern = .* retentions = 30s:6h,1min:30d,10min:360d,30min:720d,1h:1825d,1d:1825d storage-aggregation.conf [min] pattern = \.lower$ xFilesFactor = 0.1 aggregationMethod = min [max] pattern = \.upper(_\d+)?$ xFilesFactor = 0.1 aggregationMethod = max [sum] pattern = \.sum$ xFilesFactor

Spring Boot Actuator exposes a lot of metrics and information of the deployed container. However, production operations guys probably don't want to stare at pure JSON objects on their browser :) What would be good "standard" tools for monitoring this in production? This would include graphs, triggers for alerts, etc. The spring-boot-admin project is also a great monitoring tool that your production support guys may be interested in. It doesn't process and graph the metrics at all like graphite+grafana, but it is a great simple tool to setup and use to see the state of all of your running

I'm bored cause my development server is down and I'm running the command prompt to ping the server indefinitely so that I'll see when they stop timing out and know that I can work again. In the meantime I wanted to make an Air app that will do this for me, so I can have it chirp or alarm or do something when it starts to be able to connect to the server. So I need to start with having AIR do the ping, does anyone know how to do this? I can't find any help on it. I can't use the HTTPService because whatever it is that is broken (think it's the VPN), our dev web site is still up. Thanks

I'm using Supervisor to manage my node.js applicaton on an EC2 instance with git for deployment. Supervisor does a good job of making sure my application stays up, but whenever I push new server-side code to my remote server, it tends to not recognize those changes. I need to kill the supervisor process and restart it. Is there something I'm doing wrong, or is this standard behavior? This is standard behaviour; supervisord does not detect changes in code. It only restarts processes if they themselves stop or die. Just instruct supervisord to restart the application whenever you push changes.

Is there a way to monitor the input and output throughput of a Spark cluster, to make sure the cluster is not flooded and overflowed by incoming data? In my case, I set up Spark cluster on AWS EC2, so I'm thinking of using AWS CloudWatch to monitor the NetworkIn and NetworkOut for each node in the cluster. But my idea seems to be not accurate and network does not meaning incoming data for Spark only, maybe also some other data would be calculated too. Is there a tool or way to monitor specifically for Spark cluster streaming data status ? Or there's already a built-in tool in Spark that I

I'm trying to use FSEvents in my sandboxed app to monitor some directories. I implemented the following class: @implementation SNTracker - (id)initWithPaths:(NSArray *)paths { self=[super init]; if (self) { trackedPaths=paths; CFTimeInterval latency=1.0; FSEventStreamContext context={0,(__bridge void *)self,NULL,NULL,NULL}; FSEventStreamRef eeventStream=FSEventStreamCreate(kCFAllocatorDefault,&callback,&context,(__bridge CFArrayRef)trackedPaths,kFSEventStreamEventIdSinceNow,latency,kFSEventStreamCreateFlagUseCFTypes|kFSEventStreamCreateFlagWatchRoot|kFSEventStreamCreateFlagFileEvents);