Is there a software platform for generic stats tracking? - web-services

Tracking and graphing statistics that happen in an application is a very common thing. Are there any open source solutions out there that let you define arbitrary statistics, log events against those statistics, and then it handles the storage and display of those stats?
If it had pretty graphs, that's a bonus.
Obviously, it's easy to custom-develop a solution. But this seems like one of those infrastructure things that doesn't have to be re-invented every time.

Since asking this a few years back, I've found the ELK stack.
Elastic Search - https://www.elastic.co/products/elasticsearch
LogStash - https://www.elastic.co/products/logstash
Kibana - https://www.elastic.co/products/kibana
It's perfect for this sort of thing, and can also consolidate ALL of your logging needs (http logs, etc)

Related

How to get logs for Compute Engine API errors?

I am a total beginner in cloud service management, so this is a very basic question.
I have inherited a kubernetes based project running in Google Cloud. I have discovered recently that there are millions of errors I am unaware of in APIs & Services > Compute Engine API > Metrics menu:
I have tried searching for these values both on google in the docs to no avail. With no link to the list of logs and hundreds of sub menu items I feel completely lost on where to start.
How can I get more information about these errors?
How can I navigate to the relevant logs?
Your question is rather general so I will make some assumptions and educated guesses about your project and try to explain.
This level of error with API calls is of course unusually high and suggesting that some things don't work (for example someone deleted a backend service but left the load balancer without any health checks and it's accepting requests from the outside but there's nothing in the backend to process them).
That is just an exmaple - without more details I'm not even speculate further.
If you want to read more about the messages take the second one from the top - documentation for compute.v1.BackendServicesService.delete.
You can also explore other Compute Engine API methods to see what they do to give you more insight what is happening with your project.
This should give you a good starting point to explore the API.
Now - regarding logs. Just navigate to Logs Viewer and select as a resource whatever you want to analyse (all or a single VM, Load Balancer, firewall rule, etc). You can also include (or exclude) certain level of logs (warning, error etc). Pissibilities are endless.
Your query may look something like this:
Here's more documentation on GCP Logs Viewer to help you out.

Design a System to monitor web services

I want to know how to design a system that would monitor my web services status like CPU usage, whether the service is up or not. I searched it on internet but it shows me different tools. I want to design my own system. A very basic guidance will help me a lot.
It depends how deep you want to go. In principle you need to store timeseries data, for example rrdtool can be used, then you need to collect a data based on some time interval and last but not least you should be able to present data, graphs for example.
Does it make sense to reinvent the wheel it is up to you, but for such problem there are open source systems based on rrdtool, like Cacti or Nagios.
Also influxdb with Graphana is powerfull in this respect, just to name a few.

What is the best tool to use for real-time web statistics?

I operate a number of content websites that have several million user sessions and need a reliable way to monitor some real-time metrics on particular pieces of content (key metrics being: pageviews/unique pageviews over time, unique users, referrers).
The use case here is for the stats to be visible to authors/staff on the site, as well as to act as source data for real-time content popularity algorithms.
We already use Google Analytics, but this does not update quickly enough (4-24 hours depending on traffic volume). Google Analytics does offer a real-time reporting API, but this is currently in closed beta (I have requested access several times, but no joy yet).
New Relic appears to offer a few analytics products, but they are quite expensive ($149/500k pageviews - we have several times this).
Other answers I found on StackOverflow suggest building your own, but this was 3-5 years ago. Any ideas?
Heard some good things about Woopra and they offer 1.2m page views for the same price as Relic.
https://www.woopra.com/pricing/
If that's too expensive then it's live loading your logs and using an elastic search service to read them to get he data you want but you will need access to your logs whilst they are being written to.
A service like Loggly might suit you which would enable you to "live tail" your logs (view whilst being written) but again there is a cost to that.
Failing that you could do something yourself or get someone on freelancer to knock something up for you enabling logs to be read and displayed in a format you recognise.
https://www.portent.com/blog/analytics/how-to-read-a-web-site-log-file.htm
If the metrics that you need to track are just limited to the ones that you have listed (Page Views, Unique Users, Referrers) you may think of collecting the logs of your web servers and using a log analyzer.
There are several free tools available on the Internet to get real-time statistics out of those logs.
Take a look at www.elastic.co, for example.
Hope this helps!
Google Analytics offers real time data viewing now, if that's what you want?
https://support.google.com/analytics/answer/1638635?hl=en
I believe their API is now released as we are now looking at incorporating this!
If you have access to web server logs then you can actually set up Elastic Search as a search engine and along with log parser as Logstash and Kibana as Front end tool for analyzing the data.
For more information: please go through the elastic search link.
Elasticsearch weblink

Does anyone have knowledge on context switching - logging from app to disk via FSYNC vs syslog-ng

Recently, one of our most senior engineers asked me about context switching with respect to using syslog-ng vs. writing logs out from our application to disk.
Context:
I want to use syslog-ng to log & ship output from our application written in C++ to logstash on a remote logserver host, then shove it all into elasticsearch & use Kibana as a front-end for log viewing, analysis, and derivation of useful metrics. ELK stack
We currently utilize an FSYNC buffer of either 4K or 8K that spits logs out in intervals to the logfile on disk; that is to say, we're not forcing a write to disk for each log entry.
Like any good performance-seeking engineer, he wants to understand whether we'll see greater context switching or if we can make any performance gains by leveraging syslog-ng.
So the question is: Will using syslog-ng reduce or increase context switches on that application's host.
My expertise leads me here, to ask the question - given that I don't have sufficient knowledge to come up with the answer on my own.
Long-time lurker, still new to posting. Thanks!
It depends on how many logs you have to handle and how much resources you're willing to dedicate.
We use Kibana/Elastic search with Logstash and the load does get pretty heavy, but then again we have over 400 servers so YMMW. Java isn't really known for being lenient on resources either. However, on the plus side it's fairly easy to set up.
Parsing the logs in Logstash can be done with grok. Throw up a couple of VMs and play around with it, if you have a large environment fine-tuning configuration is a must to make it bearable, or if you have money you can throw hardware at it until it behaves.

Web application monitoring best practices [closed]

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We are finishing up our web application and planning for deployment. Very important aspect of deployment to production is monitoring the health of the system. Having a small team of developers/support makes it very critical for us to get the early notifications of potential problems and resolve them before they have impact on users.
Using Nagios seams like a good option, but wanted to get more opinions on what are the best monitoring tools/practices for web application in general and specifically for Django app? Also would welcome recommendations on what should be monitored aside from the obvious CPU, memory, disk space, database connectivity.
Our web app is written in Django, we are running on Linux (Ubuntu) under Apache + Fast CGI with PostgreSQL database.
EDIT
We have a completely virtualized environment under Linode.
EDIT
We are using django-logging so we have a way separate info, errors, critical issues, etc.
Nagios is good, it's good to maybe have system testing (Selenium) running regularily.
Edit: Hyperic and Groundwork also look interesting.
There is probably a test suite system that can keep pressure testing everything as well for you. I can't remember the name off the top of my head, maybe someone can mention one below.
Other things I like to do:
The best motto for infrastructure is always fix, detect, repair. Get it up, get to the root of it, and cure/prevent it if you can.
Since a system exists at many levels, we should test at many levels:
Edit: Have all errors or warnings posted directly to your case manager via email. That way you can track occurrences in one place.
1) Connection : monitor your internet connectivity from the server and from the outside. Log this somewhere
2) Server : monitor all the processes that you need to to ensure they are running and not pinning the server. Use a HP Server or something equivalent with hardware failure notification that it can do from a bios level. Notify and log if they are.
3) Software : Identify the key software that always needs to be running. Set the performance levels if any and then monitor them. Nagios should be able to help with this. On windows it can be a bit more. When an exception occurs, you should be able to run a script from it to restart processes automatically. My dream system is allowing me to interact with servers via SMS if the server sees it as an exception that I have to either permit, or one that will happen automatically unless I cancel by sms. One day..
4) Remote Power : Ensure Remote power-reset capabilities are in your hand. You might want to schedule weekly reboots if you ever use windows for anything.
5) Business Logic Testing : Have regularly running scripts testing the workflow of your system. Selenium can probably achieve some of this, but I like logging the results as well to say this ran at this time and these files had errors. If possible anywhere, have the system monitor itself through your scripts.
6) Backups : Make a backup that you can set and forget. If you can get things into virtual machines it would be ideal as you can scale, move, or deploy any part of your infrastructure anywhere. I have had instances where I moved a dead server onto my laptop, let it run in vmware while I fixed a problem.
Monitoring the number of connections to your Web server and your database is another good thing to track. Chances are if one shoots through the roof, something is starving for resources and the site is about to go down.
Also make sure you have a regular request for a URL that is a reasonable end-to-end test of the system. If your site supports search, then have nagios execute a search - that should make sure the search index is healthy, the Web server and the database server.
Also, make sure that your applications sends you email anytime your users see an error, or there is an unhandled exception. That way you know how the application is failing in the field.
If I had to pick one type of testing it would be to test the end-user functionality of the system. The important thing to consider is the user. While testing things like database availability, server up-time, etc, are all important, testing work-flows through your system via a remote UI testing system covers all these bases. If you know that the critical parts of your system are available to the end-user, then you know your system is prolly Ok.
Identify the important work-flows in your system. For example, if you wrote an eCommerce site you might identify a work-flow of "search for a product, put product in shopping cart, and purchase product".
Prioritize the work-flows, and build out higher-priority tests first. You can always add additional tests after you roll out to production.
Build UI tests using one of the available UI testing frameworks. There are a number of free and commercial UI testing frameworks that can be run in an automated fashion. Build a core set of tests first that address critical work-flows.
Setup at least one remote location from which to run tests. You want to test every aspect of your system, which means testing it remotely. Is the internet connection up? Is the web server running? Is the connection to the database server working? Etc, etc. If you test remotely you make sure you system is available to the outside world which means it is most likely working end-to-end. You can also run these tests internally, but I think it is critical to run them externally.
Make sure your solution includes both reporting and notification. If one of your critical work-flow tests fails, you want someone to know about it to fix the problem ASAP. If a non-critical task fails, perhaps you only want reporting so that you can fix problems out-of-band.
This end-user testing should not eliminate monitoring of system in your data-center, but I want to reiterate that end-user testing is the most important type of testing you can do for a web application.
Ahhh, monitoring. How I love thee and your vibrations at 3am.
Essentially, you need a way to inspect the internal state of your application, both at a specific moment, as well as over spans of time (the latter is very important for detecting problems before they occur). Another way to think of it is as glorified unit-testing.
We have our own (very nice) monitoring system, so I can't comment on Nagios or other apps. Our use case is similar to yours, though (cgi app on apache).
Add a logging.monitor() type method, which will log information to disk. This should support, at the least, logging simple numbers and dicts of numbers (the key=>value association can be incredibly handy).
Have a process that scrapes the monitoring logs and stores them into a database.
Have a process that takes the database information, checks them against rules, and sends out alerts. Keep in mind that somethings can be flaky. Just because you got a 404 once doesn't mean the app it down.
Have a way to mute alerts (very useful for maintenance or to read your email).
Thats all pretty high level. The important thing is that you have a history of the state of the application over time. From this, you can then create rules (perhaps just raw sql queries you put into a config somewhere), that say "If the queries per second doubled, send a SlashDotted alert", or "if 50% of responses are 404, send an alert". It also bedazzles management because you can quantify any comment about whether its up, down, fast, or slow.
Things to monitor include (others probably mentioned these as well): http status, port accessible, http load, database load, open connection, query latency, server accessibility (ssh, ping), queries per second, number of worker processes, error percentage, error rate.
Simple end-to-end tests are also very handy, though they can be brittle. Its best to keep them simple, but you should have one that tries to touch core pieces of the app (caching, database, authentication).
I use Munin and Monit, and have been very happy with both of them.
Internal logging is fine and dandy but when your whole app goes down or your box/enviro crashes you need an outside check too. http://www.pingdom.com/ has been very reliable for me.
My only other advice is I wouldnt spent too much time on this. my best example is twitter, how much energy did they put into the system being able to half-die instead of just investing that time and energy into throwing more hardware / scaling it out.
Chances are what ends up taking you down, your logging and health systems will have missed anyway.
The single most important way to monitor any online site is to monitor externally. The goal should be to monitor your site in a way that most closely reflects how your users use the site. In 99% of cases, as soon as you know that your site is down externally, it's relatively easy to find the root cause. The most important thing is to know as soon as possible that your customers are unable to load your site.
This generally means using an external performance monitoring service. They very from the very low end (mon.itor.us, pingdom) to the high end (Webmetrics, Gomez, Keynote). And as always, you get what you pay for. The things to look for when shopping around for a monitoring service include:
The size and distribution of the monitoring network
Whether or not the monitoring solution is able to monitor your site using a real browser (otherwise you aren't testing your site like a real user would)
The scripting language (to script the transactions against your site)
The support department, to help you along the way, and provide expertise on how to monitor correctly
Good luck!
Web monitoring by IP Patrol or SiteSentry have been useful for us. The second is a bit like site confidence but slightly prettier lol.
Have you thought about monitoring the functionality as well? A script (either in a scripting language like Perl or Pyton or using some tool like WebTest) that talks to your application and does some important steps like logging in, making a purchase, etc is very nice to have.
Aside from what to monitor, which has already been answered, you need to make sure - whatever system you use - that you get only one notification of an error that happens multiple times, on each request. Or your inbox will run out of memory :) Plus, it's plain annoying...
Divide the standby shifts among the support/dev team, so one person does not have to be on call every single evening. That will wear people down. Monitoring is a good thing, but everyone needs to get a chance to have a life once in a while. Your cellphone buzzing at 2AM for a few nights will get very old pretty soon, trust me. And not every developer is used to 24/7 support, so you need to find the balance between using monitoring and abusing monitoring.
Basically, have distinct escalation levels, and if the sky is not falling, define a "serenity now" window at night where smaller escalation levels don't go out.
I've been using Nagios + CruiseControl + Selenium for running high-level tests on mission critical web applications. I got burned pretty hard by a simple jquery error that stopped users from proceding through an online signup form.
http://www.agileatwork.com/the-holy-trinity-of-web-2-0-application-monitoring/
You can take a look at AlertGrid. This web application allows you to filter and forward alerts to your team (worldwide). It has also nice ability to monitor if something did not happen.
To paraphrase Richard Levasseur: ah, monitoring tools, how your imperfections frustrate me. There doesn't seem to be a perfect tool out there; Nagios is pretty easy to set up but the UI is kinda old fashioned and you have to have a daemon running on each server being monitored. Zenoss has a much nicer UI including trend graphs of resource usage, but it uses SNMP so you have to have some familiarity with that to get it working properly, and the documentation is not the best - there are hundreds of pages but it's really hard to find just the info you need to get started.
Friends of mine have also recommended Cacti and Hyperic, but I don't have personal experience with those.
One last thing - one of the other answers suggested running a tool that stresses your site. I wouldn't recommend doing that on your live site unless you have a reliable quiet period when nobody is hitting it; even then you might bring it down unexpectedly. Much better to have a staging server where you can run load tests before putting changes into production.
One of our clients uses Techout (www.techout.com) and is very pleased with the service.
There is no charge for alerts, no matter what kind or how many, and they offer email, voicemail and SMS alerts -- and if something major happens, a phone call from a live person to help you out.
It's all based on service -- you don't install the software and you have a consultant who works with you to determine the best approach for your business. It's one of the most convenient web application monitoring services because they take care of everything.
I would just add that you can predict error likelihood somewhat based on history of past errors and having fixed them. With smaller scale internal testing if you were to graph the frequency and severity of problems that have been corrected to this point you'll have an overview of predictable new problems. If everything has been running error free for some time now, then the two sources of trouble would be recent changes or scalability issues.
From the above it sounds like scalability is your only worry, but I just mention the past-error frequency test because the teams I've been on invariably think they got the last error fixed and there are no more. Until there is.
Changing the line a little bit, something I really think is useful and changed a lot how I monitor my apps is to log javascript exceptions somewhere. There's a very nice implementation that logs that directly from user browsers to Google Analytics.
This is a must for Javascript centered web applications, and can give you results based directly on users browsers what can lead to very unexpected errors (iE and mobile browser are pain)
Disclaimer: My post bellow
http://www.directperformance.com.br/en/javascript-debug-simples-com-google-analytics
For the internet presence monitoring, I would suggest the service that I am working on: Sucuri NBIM (Network-based integrity monitor).
It does availability and integrity checks, looking for changes on your internet presence (sites, DNS, WHOIS, headers, etc) and loss of connectivity. It is free and you can try it out here.