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GeezerVison is showing github.com — fullstackpython.github.com/monitoring.html at gh-pages · kevinisaac/fullstackpython.github.com Expand file tree/ Copy pathmonitoring.htmlMore file actions 357 lines (347 loc) · 22 KB / Copy pathmonitoring.htmlFile metadata and controls357 lines (347 loc) · 22 KB 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 <!DOCTYPE html> <html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> <meta charset="utf-8"> <meta http-equiv="X-UA-Compatible" content="IE=edge"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <meta name="author" content="Matt Makai"> <link rel="shortcut icon" href="theme/img/fsp-fav.png"> <title>Monitoring - Full Stack Python</title> <!--[if lt IE 9]> <script src="https://oss.maxcdn.com/libs/html5shiv/3.7.0/html5shiv.js"></script> <script src="https://oss.maxcdn.com/libs/respond.js/1.3.0/respond.min.js"></script> <![endif]--> <link href="theme/css/f.min.css" rel="stylesheet"> <link href="//netdna.bootstrapcdn.com/font-awesome/4.1.0/css/font-awesome.css" rel="stylesheet"> <style> .toc-indent {padding-left: 25px;} .toc-more-indent {padding-left: 37px;} </style> <script> (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){ (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o), m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m) })(window,document,'script','//www.google-analytics.com/analytics.js','ga'); ga('create', 'UA-19910497-7', 'auto'); ga('send', 'pageview'); </script> </head> <body> <a href="https://github.com/makaimc/fullstackpython.github.com"><img style="position: absolute; top: 0; right: 0; border: 0;" src="https://camo.githubusercontent.com/a6677b08c955af8400f44c6298f40e7d19cc5b2d/68747470733a2f2f73332e616d617a6f6e6177732e636f6d2f6769746875622f726962626f6e732f666f726b6d655f72696768745f677261795f3664366436642e706e67" alt="Fork me on GitHub" data-canonical-src="https://s3.amazonaws.com/github/ribbons/forkme_right_gray_6d6d6d.png"></a> <div class="container"> <div class="row"> <div class="col-md-12"> <div class="logo-header-section"> <a href="/" style="text-decoration: none; border: none;"><img src="theme/img/fsp-logo.png" height="52" width="52" class="logo-image" style="padding-top: 1px;" alt="Full Stack Python logo"></a> <span class="logo-title"><a href="/">Full Stack Python</a></span> </div> </div> </div><div class="row"> <div class="col-md-8"> <h1>Monitoring</h1> <p>Monitoring tools capture, analyze and display information for a web application's execution. Every application has issues arise throughout all levels of the web stack. Monitoring tools provide transparency so developers and operations teams can respond and fix problems.</p> <h2>Why is monitoring necessary?</h2> <p>Capturing and analyzing data about your production environment is critical to proactively deal with stability, performance, and errors in a web application.</p> <h2>Difference between monitoring and logging</h2> <p>Monitoring and logging are very similar in their purpose of helping to diagnose issues with an application and aid the debugging process. One way to think about the difference is that logging happens based on explicit events while monitoring is a passive background collection of data. </p> <p>For example, when an error occurs, that event is explicitly logged through code in an exception handler. Meanwhile, a monitoring agent instruments the code and gathers data not only about the logged exception but also the performance of the functions.</p> <p>This distinction between logging and monitoring is vague and not necessarily the only way to look at it. Pragmatically, both are useful for maintaining a production web application.</p> <h2>Monitoring layers</h2> <p>There are several important resources to monitor on the operating system and network level of a web stack.</p> <ol> <li>CPU utilization</li> <li>Memory utilization</li> <li>Persistence storage consumed versus free</li> <li>Network bandwidth and latency</li> </ol> <p>Application level monitoring encompasses several aspects. The amount of time and resources dedicated to each aspect will vary based on whether an application is read-heavy, write-heavy, or subject to rapid swings in traffic.</p> <ol> <li>Application warnings and errors (500-level HTTP errors)</li> <li>Application code performance</li> <li>Template rendering time</li> <li>Browser rendering time for the application</li> <li>Database querying performance</li> </ol> <h2>Open source monitoring projects</h2> <ul> <li> <p><a href="https://github.com/etsy/statsd/">statsd</a> is a node.js network daemon that listens for metrics and aggregates them for transfer into another service such as Graphite.</p> </li> <li> <p><a href="https://graphite.readthedocs.org/en/latest/overview.html">Graphite</a> stores time-series data and displays them in graphs through a Django web application.</p> </li> <li> <p><a href="http://github.hubspot.com/bucky/">Bucky</a> measures the performance of a web application from end user's browsers and sends that data back to the server for collection.</p> </li> <li> <p><a href="http://sensuapp.org/">Sensu</a> is an open source monitoring framework written in Ruby but applicable to any programming language web application.</p> </li> <li> <p><a href="http://vimeo.github.io/graph-explorer/">Graph Explorer</a> by Vimeo is a Graphite-based dashboard with added features and a slick design.</p> </li> <li> <p><a href="http://packetbeat.com/">PacketBeat</a> sniffs protocol packets. Elasticsearch then allows developers to search the collected data and visualize what's happening inside their web application using the Kibana user interface.</p> </li> <li> <p><a href="http://munin-monitoring.org/">Munin</a> is a client plugin-based monitoring system that sends monitoring traffic to the Munin node where the data can be analyzed and visualized. Note this project is written in Perl so Perl 5 must be installed on the node collecting the data.</p> </li> </ul> <h2>Hosted monitoring services</h2> <ul> <li> <p><a href="http://newrelic.com/">New Relic</a>. Application and database monitoring as well as plug ins for capturing and analyzing additional data about tools in your stack.</p> </li> <li> <p><a href="http://copperegg.com/">CopperEgg</a> is lower-level monitoring on server and infrastructure. It's popular with DevOps shops that are making changes to their production environments and want immediate feedback on the results of those modifications.</p> </li> <li> <p><a href="http://status.io/">Status.io</a> focuses on uptime and response metrics transparency for web applications.</p> </li> <li> <p><a href="https://www.statuspage.io/">StatusPage.io</a> (yes, there's both a Status and StatusPage.io) provides easy set up status pages for monitoring application up time.</p> </li> <li> <p><a href="http://www.pagerduty.com/">PagerDuty</a> alerts a designated person or group if there are stability, performance, or uptime issues with an application.</p> </li> <li> <p><a href="https://appenlight.com/">App Enlight</a> provides performance, exception and error monitoring and is currently specific to Python web applications.</p> </li> </ul> <h2>Monitoring resources</h2> <ul> <li> <p><a href="http://www.paperplanes.de/2011/1/5/the_virtues_of_monitoring.html">The Virtues of Monitoring</a></p> </li> <li> <p><a href="http://blog.docker.io/2013/07/effortless-monitoring-with-collectd-graphite-and-docker/">Effortless Monitoring with collectd, Graphite, and Docker</a></p> </li> <li> <p><a href="http://matt.aimonetti.net/posts/2013/06/26/practical-guide-to-graphite-monitoring/">Practical Guide to StatsD/Graphite Monitoring</a> is a detailed guide with code examples for monitoring infrastructure.</p> </li> <li> <p>Bit.ly describes the "<a href="http://word.bitly.com/post/74839060954/ten-things-to-monitor">10 Things They Forgot to Monitor</a>" beyond the standard metrics such as disk & memory usage.</p> </li> <li> <p><a href="http://aarvik.dk/four-linux-server-monitoring-and-management-tools/">Four Linux server monitoring tools</a></p> </li> <li> <p><a href="https://blog.serverdensity.com/how-to-design-useful-monitoring-graphs-and-visualizations/">How to design useful monitoring and graphing visualizations</a></p> </li> <li> <p><a href="https://speakerdeck.com/auxesis/5-years-of-metrics-and-monitoring">5 years of metrics and monitoring</a> is a great presentation highlighting that visualization so humans can understand measurements is a hard problem. Line graphs are often not the best solution and they are overused.</p> </li> <li> <p>The Collector Highlight Series has an article on <a href="http://blog.librato.com/posts/statsd">StatsD</a> that explains how to install it and how it works.</p> </li> <li> <p>This <a href="http://kartar.net/2014/11/monitoring-survey---tools/">survey on monitoring tools</a> has some nice data and graphs on what developers and operations folks use in their environments.</p> </li> <li> <p>Ryan Frantz wrote a nice post on <a href="http://ryanfrantz.com/posts/solving-monitoring/">Solving Monitoring</a> with a new definition of what monitoring means based on today's complex systems and how the practice should evolve going forward.</p> </li> </ul> <h2>Monitoring learning checklist</h2> <p><i class="fa fa-check-square-o"></i> Review the software-as-a-service and open source monitoring tools below. Third party services tend to be easier to set up and host the data for you. Open source projects give you more control but you'll need to have additional servers ready for the monitoring.</p> <p><i class="fa fa-check-square-o"></i> My recommendation is to install <a href="http://newrelic.com/">New Relic</a>'s free option with the trial period to see how it works with your app. It'll give you a good idea of the capabilities for application-level monitoring tools.</p> <p><i class="fa fa-check-square-o"></i> As your app scales take a look at setting up one of the the open source monitoring projects such as StatsD with Graphite. 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