WEBVTT 1 00:00:00.000 --> 00:00:01.260 In this lesson, 2 00:00:01.260 --> 00:00:04.170 we will learn about observability. 3 00:00:04.170 --> 00:00:08.310 Observability is the ability to monitor, understand, 4 00:00:08.310 --> 00:00:10.980 and diagnose the internal states 5 00:00:10.980 --> 00:00:15.690 and performance of a system based on the data it produces. 6 00:00:15.690 --> 00:00:18.930 Observability concepts include monitoring, 7 00:00:18.930 --> 00:00:21.660 understanding, and diagnosing. 8 00:00:21.660 --> 00:00:25.110 Monitoring involves continuously collecting data 9 00:00:25.110 --> 00:00:27.420 from various network components. 10 00:00:27.420 --> 00:00:31.320 These components may include traffic patterns, error rates, 11 00:00:31.320 --> 00:00:33.300 and system logs. 12 00:00:33.300 --> 00:00:35.460 Analysis is then used 13 00:00:35.460 --> 00:00:38.070 to track the network's normal behaviors, 14 00:00:38.070 --> 00:00:40.980 potential issues, and anomalies. 15 00:00:40.980 --> 00:00:44.070 This analysis can provide an understanding 16 00:00:44.070 --> 00:00:48.540 and insights into the underlying causes of problems. 17 00:00:48.540 --> 00:00:53.370 Finally, diagnosis is used to locate the exact source 18 00:00:53.370 --> 00:00:54.540 of a problem, 19 00:00:54.540 --> 00:00:58.320 enabling targeted troubleshooting and resolution. 20 00:00:58.320 --> 00:01:01.170 Let's learn more about observability. 21 00:01:01.170 --> 00:01:04.230 Overall, observability is the ability 22 00:01:04.230 --> 00:01:08.280 to gain deep insights into the internal operations 23 00:01:08.280 --> 00:01:13.280 of a system by using or observing the data it generates. 24 00:01:13.800 --> 00:01:15.930 In an enterprise environment, 25 00:01:15.930 --> 00:01:18.690 this means more than just monitoring. 26 00:01:18.690 --> 00:01:21.990 It involves understanding how systems behave, 27 00:01:21.990 --> 00:01:25.620 detecting anomalies, and diagnosing the root causes 28 00:01:25.620 --> 00:01:28.020 of issues in real time. 29 00:01:28.020 --> 00:01:29.940 Unlike traditional monitoring, 30 00:01:29.940 --> 00:01:33.720 which focuses on predefined metrics and alerts, 31 00:01:33.720 --> 00:01:36.930 observability looks at the entire system 32 00:01:36.930 --> 00:01:39.330 and its complex interactions, 33 00:01:39.330 --> 00:01:43.920 providing a more comprehensive view of the system's health. 34 00:01:43.920 --> 00:01:47.640 Common tools like Datadog and New Relic 35 00:01:47.640 --> 00:01:50.550 are widely used to achieve this type 36 00:01:50.550 --> 00:01:53.010 of comprehensive network view. 37 00:01:53.010 --> 00:01:55.260 Specifically, Datadog 38 00:01:55.260 --> 00:01:59.820 and New Relic assist organizations in monitoring metrics, 39 00:01:59.820 --> 00:02:03.210 logs, and traces in one platform, 40 00:02:03.210 --> 00:02:06.330 giving them a full view of their infrastructure 41 00:02:06.330 --> 00:02:08.430 and applications, and helping them 42 00:02:08.430 --> 00:02:12.570 to trace application performance to detect bottlenecks. 43 00:02:12.570 --> 00:02:15.840 For example, if a company's web application 44 00:02:15.840 --> 00:02:17.940 suddenly starts slowing down, 45 00:02:17.940 --> 00:02:21.960 observability tools can help identify whether the issue 46 00:02:21.960 --> 00:02:25.860 is with the application's code, the database performance, 47 00:02:25.860 --> 00:02:29.790 or a network bottleneck, giving the team a full picture 48 00:02:29.790 --> 00:02:32.040 of the system and making it easier 49 00:02:32.040 --> 00:02:34.470 to resolve the problem quickly. 50 00:02:34.470 --> 00:02:37.860 Now, let's take a close look at how monitoring 51 00:02:37.860 --> 00:02:41.460 and analysis concepts enable observability. 52 00:02:41.460 --> 00:02:45.150 Monitoring is a key component of observability. 53 00:02:45.150 --> 00:02:48.060 It involves continuously collecting data 54 00:02:48.060 --> 00:02:51.450 from various sources, such as network traffic, 55 00:02:51.450 --> 00:02:54.090 error rates, and system logs. 56 00:02:54.090 --> 00:02:58.470 For example, tracking the response times of applications, 57 00:02:58.470 --> 00:03:00.570 monitoring user activities, 58 00:03:00.570 --> 00:03:05.040 and observing server load can provide a real-time picture 59 00:03:05.040 --> 00:03:07.590 of how the system is performing. 60 00:03:07.590 --> 00:03:12.330 This data allows security teams and system administrators 61 00:03:12.330 --> 00:03:14.700 to detect abnormal behavior 62 00:03:14.700 --> 00:03:18.600 before it escalates into a full-blown issue. 63 00:03:18.600 --> 00:03:22.500 In this way, effective monitoring is the foundation 64 00:03:22.500 --> 00:03:26.760 of observability, ensuring that all critical events 65 00:03:26.760 --> 00:03:30.360 are captured, and available for analysis. 66 00:03:30.360 --> 00:03:34.830 Once the data is collected, the next step is analysis. 67 00:03:34.830 --> 00:03:37.710 Analysis takes the raw collected data 68 00:03:37.710 --> 00:03:40.650 and processes it to provide insights 69 00:03:40.650 --> 00:03:43.770 into what's going on within a system. 70 00:03:43.770 --> 00:03:47.910 For example, a sudden spike in failed login attempts 71 00:03:47.910 --> 00:03:50.820 might indicate a brute force attack 72 00:03:50.820 --> 00:03:53.940 while an unexpected increase in network traffic 73 00:03:53.940 --> 00:03:57.000 could signal a denial-of-service attempt. 74 00:03:57.000 --> 00:04:00.900 Here, observability tools analyze this data 75 00:04:00.900 --> 00:04:04.170 to highlight deviations from normal behavior, 76 00:04:04.170 --> 00:04:08.250 helping security teams quickly identify potential threats 77 00:04:08.250 --> 00:04:10.230 or performance issues. 78 00:04:10.230 --> 00:04:12.030 Understanding these patterns 79 00:04:12.030 --> 00:04:14.730 and behaviors helps build a baseline 80 00:04:14.730 --> 00:04:17.310 for what is normal, making it possible 81 00:04:17.310 --> 00:04:21.720 to identify when something is abnormal and wrong. 82 00:04:21.720 --> 00:04:25.230 Finally, observability includes the ability 83 00:04:25.230 --> 00:04:27.930 to diagnose problems accurately. 84 00:04:27.930 --> 00:04:32.250 Diagnosis is about finding the root cause of an issue. 85 00:04:32.250 --> 00:04:36.240 For example, if a server is experiencing downtime, 86 00:04:36.240 --> 00:04:39.930 observability tools can help pinpoint whether the problem 87 00:04:39.930 --> 00:04:44.100 is due to a hardware failure, a configuration error, 88 00:04:44.100 --> 00:04:46.200 or a security breach. 89 00:04:46.200 --> 00:04:50.640 This precise diagnosis allows for targeted troubleshooting, 90 00:04:50.640 --> 00:04:54.270 reducing the time it takes to resolve issues. 91 00:04:54.270 --> 00:04:56.940 So observability ensures 92 00:04:56.940 --> 00:05:00.900 that problems are not just detected, but fully understood 93 00:05:00.900 --> 00:05:02.940 and addressed efficiently. 94 00:05:02.940 --> 00:05:07.770 So remember, observability allows organizations 95 00:05:07.770 --> 00:05:11.250 to gain deep insights into the internal workings 96 00:05:11.250 --> 00:05:12.570 of their systems 97 00:05:12.570 --> 00:05:16.290 by analyzing the data those systems generate. 98 00:05:16.290 --> 00:05:18.900 It goes beyond traditional monitoring 99 00:05:18.900 --> 00:05:22.710 by helping teams understand how systems behave, 100 00:05:22.710 --> 00:05:26.250 detect anomalies, and diagnose the root causes 101 00:05:26.250 --> 00:05:28.710 of issues in real time. 102 00:05:28.710 --> 00:05:32.700 The core components of observability are monitoring, 103 00:05:32.700 --> 00:05:37.140 analysis, and diagnosis, all of which work together 104 00:05:37.140 --> 00:05:41.370 to ensure the system remains healthy and efficient. 105 00:05:41.370 --> 00:05:45.000 By continuously collecting and analyzing data, 106 00:05:45.000 --> 00:05:48.811 observability tools help identify potential issues 107 00:05:48.811 --> 00:05:52.680 before they escalate into serious problems. 108 00:05:52.680 --> 00:05:56.550 This comprehensive approach allows organizations 109 00:05:56.550 --> 00:05:59.580 to quickly troubleshoot and resolve issues, 110 00:05:59.580 --> 00:06:03.303 ensuring system performance and security.