1 00:00:00,000 --> 00:00:02,400 Welcome back everyone to another deep dive. 2 00:00:02,400 --> 00:00:04,680 You know, every day we use apps and websites 3 00:00:04,680 --> 00:00:07,640 that seem to just work, but behind the scenes. 4 00:00:07,640 --> 00:00:10,200 It's all powered by complex software architectures 5 00:00:10,200 --> 00:00:12,920 handling millions of users without crashing. 6 00:00:12,920 --> 00:00:15,120 Exactly, we're talking massive scale systems. 7 00:00:15,120 --> 00:00:19,360 Like think e-commerce giants, streaming services, the works. 8 00:00:19,360 --> 00:00:22,800 And it's fascinating how much this feel has evolved, right? 9 00:00:22,800 --> 00:00:25,640 We started with monolithic systems, kind of. 10 00:00:25,640 --> 00:00:27,600 Look at one stop shop for your code, right? 11 00:00:27,600 --> 00:00:29,960 Easy to set up. Notorious for scaling issues. 12 00:00:29,960 --> 00:00:33,560 Then we had the rise of microservices, which are like... 13 00:00:33,560 --> 00:00:37,200 Specialized teams each handling a specific task, very flexible, but... 14 00:00:37,200 --> 00:00:39,480 It can be a real headache to manage all those moving parts. 15 00:00:39,480 --> 00:00:40,480 It really is. 16 00:00:40,480 --> 00:00:44,840 So today we're focusing on what might be called the Goldilocks solution. 17 00:00:44,840 --> 00:00:45,880 Ooh, I like that. 18 00:00:45,880 --> 00:00:50,400 That's Selective Service-Oriented Architecture, or SSOA for short. 19 00:00:50,400 --> 00:00:51,000 Catchy. 20 00:00:51,000 --> 00:00:53,800 And of course it's Frontend counterpart SFA. 21 00:00:53,800 --> 00:00:57,000 Our guide for this deep dive is Roshan Gavande's book. 22 00:00:57,000 --> 00:01:01,440 You got it. It's called Selective Service-Oriented Architecture, SSOA, 23 00:01:01,440 --> 00:01:04,240 and Selective Frontend Architecture, SFA. 24 00:01:04,240 --> 00:01:06,800 And he really knows his stuff. 25 00:01:06,800 --> 00:01:09,640 Roshan's led some major system transformations. 26 00:01:09,640 --> 00:01:10,600 He has. 27 00:01:10,600 --> 00:01:14,800 And this book is a great resource for, well, really anyone in tech 28 00:01:14,800 --> 00:01:17,720 whose building systems meant for massive scale. 29 00:01:17,720 --> 00:01:20,160 Architects, developers, anyone who wants to learn. 30 00:01:20,160 --> 00:01:25,520 Now what's interesting about SSOA is it doesn't ditch the monolithic core completely, does it? 31 00:01:25,520 --> 00:01:26,400 No, it doesn't. 32 00:01:26,400 --> 00:01:27,840 It starts with that core, but... 33 00:01:27,840 --> 00:01:28,840 Makes it modular. 34 00:01:28,840 --> 00:01:29,440 Exactly. 35 00:01:29,440 --> 00:01:29,960 It's kind of like a... 36 00:01:29,960 --> 00:01:33,160 A well-organized house where each room has a specific... 37 00:01:33,160 --> 00:01:35,640 Purpose, but they're all connected by a... 38 00:01:35,640 --> 00:01:36,560 Solid structure. 39 00:01:36,560 --> 00:01:37,360 Yeah. 40 00:01:37,360 --> 00:01:39,960 Now the Selective part is where things get interesting. 41 00:01:39,960 --> 00:01:45,160 With SSOA, you pinpoint the most demanding parts of your application, let's say. 42 00:01:45,160 --> 00:01:48,400 Like the checkout process during a big sale, Black Friday or something. 43 00:01:48,400 --> 00:01:49,320 Perfect example. 44 00:01:49,320 --> 00:01:52,280 And you extract only those parts into... 45 00:01:52,280 --> 00:01:53,480 Microservices. 46 00:01:53,480 --> 00:01:53,760 Got it. 47 00:01:53,760 --> 00:01:54,200 Right. 48 00:01:54,200 --> 00:01:59,760 Instead of scaling the entire website, you give the checkout process its own turbo boost. 49 00:01:59,760 --> 00:02:00,920 Love that analogy. 50 00:02:00,920 --> 00:02:04,040 Avoids that elephant and mini-couper problem we've talked about with Monoliths. 51 00:02:04,040 --> 00:02:04,880 Exactly. 52 00:02:04,880 --> 00:02:08,560 And to make sure those microservices play nice with the rest of the system, we've got the... 53 00:02:08,560 --> 00:02:10,240 Service composition layer. 54 00:02:10,240 --> 00:02:10,520 It's like... 55 00:02:10,520 --> 00:02:11,520 Universal translate. 56 00:02:11,520 --> 00:02:13,960 Helping all the different parts of the system talk to each other. 57 00:02:13,960 --> 00:02:14,960 That's a good way to put it. 58 00:02:14,960 --> 00:02:15,840 I try. 59 00:02:15,840 --> 00:02:18,480 So we've got the back end covered, but what about the front end? 60 00:02:18,480 --> 00:02:20,840 What users actually see and interact with? 61 00:02:20,840 --> 00:02:24,400 That's where SFA comes in, mirroring the SSOA approach. 62 00:02:24,400 --> 00:02:25,680 For the user interface. 63 00:02:25,680 --> 00:02:26,720 So instead of... 64 00:02:26,720 --> 00:02:27,360 Yeah. 65 00:02:27,360 --> 00:02:30,160 Monolithic front ends can be a real pain to update. 66 00:02:30,160 --> 00:02:31,680 And scaling them. 67 00:02:31,680 --> 00:02:32,440 Forget it. 68 00:02:32,440 --> 00:02:33,160 Exactly. 69 00:02:33,160 --> 00:02:39,840 So SFA, it addresses this by extracting specific parts into micro front ends. 70 00:02:39,840 --> 00:02:40,200 Right. 71 00:02:40,200 --> 00:02:43,400 So if you need to tweak something, you're not updating the entire website. 72 00:02:43,400 --> 00:02:43,680 Just... 73 00:02:43,680 --> 00:02:44,520 The part that needs it. 74 00:02:44,520 --> 00:02:45,360 Smart. 75 00:02:45,360 --> 00:02:46,000 Give me an example. 76 00:02:46,000 --> 00:02:47,520 Something relatable for our listeners. 77 00:02:47,520 --> 00:02:50,680 Imagine the video player on a streaming platform. 78 00:02:50,680 --> 00:02:53,880 By extracting it as a micro front end, you can optimize it. 79 00:02:53,880 --> 00:02:56,440 So even when millions of people are watching at the same time? 80 00:02:56,440 --> 00:03:00,560 Yeah, even during the big game or season finale, it still runs. 81 00:03:00,560 --> 00:03:01,560 Smoothly. 82 00:03:01,560 --> 00:03:02,280 Ehh? 83 00:03:02,280 --> 00:03:03,520 No buffering nightmares. 84 00:03:03,520 --> 00:03:04,760 Exactly. 85 00:03:04,760 --> 00:03:10,440 Okay, so this all sounds great in theory, but how do we actually put these architectures into practice? 86 00:03:10,440 --> 00:03:15,080 Well, the good news is, you don't have to tear down your entire system and start over. 87 00:03:15,080 --> 00:03:16,640 Phew. 88 00:03:16,640 --> 00:03:18,000 That's a relief. 89 00:03:18,000 --> 00:03:21,200 Roshan really emphasizes an incremental approach in his book. 90 00:03:21,200 --> 00:03:21,960 It starts with... 91 00:03:21,960 --> 00:03:25,520 Ascensing your current system, finding the bottlenecks, and then... 92 00:03:25,520 --> 00:03:28,680 Figuring out which parts would benefit from extraction. 93 00:03:28,680 --> 00:03:29,520 So it's more like... 94 00:03:29,520 --> 00:03:31,720 Strategic upgrades rather than... 95 00:03:31,720 --> 00:03:33,200 The total system overhaul. 96 00:03:33,200 --> 00:03:33,640 Yeah. 97 00:03:33,640 --> 00:03:36,360 And then you modularize the monolith, you know. 98 00:03:36,360 --> 00:03:37,760 Create those well-defined rooms. 99 00:03:37,760 --> 00:03:38,680 Exactly. 100 00:03:38,680 --> 00:03:45,000 And that sets the stage for extracting those high demand elements into micro services or... 101 00:03:45,000 --> 00:03:46,360 Micro front ends. 102 00:03:46,360 --> 00:03:47,360 Depending on whether you're working... 103 00:03:47,360 --> 00:03:48,400 Back end or the front end. 104 00:03:48,400 --> 00:03:51,000 Of course, then comes the crucial step of... 105 00:03:51,000 --> 00:03:52,920 Building that service composition layer. 106 00:03:52,920 --> 00:03:55,960 Or, as I like to call it, the air traffic control. 107 00:03:55,960 --> 00:03:58,520 To make sure everything communicates as it should. 108 00:03:58,520 --> 00:04:00,600 And finally, you deploy... 109 00:04:00,600 --> 00:04:01,200 Monitor. 110 00:04:01,200 --> 00:04:05,320 And optimize that system, making sure it runs like a well-oiled machine. 111 00:04:05,320 --> 00:04:05,960 Yeah. 112 00:04:05,960 --> 00:04:10,760 But with all these distributed parts, doesn't security and compliance become even more critical? 113 00:04:10,760 --> 00:04:12,200 It absolutely does. 114 00:04:12,200 --> 00:04:14,480 Roshan highlights a bunch of key challenges, like... 115 00:04:14,480 --> 00:04:17,560 Securing the communication between all those micro services. 116 00:04:17,560 --> 00:04:22,720 Making sure only authorized users and services can access certain parts of the system. 117 00:04:22,720 --> 00:04:23,800 API security. 118 00:04:23,800 --> 00:04:26,960 And then there's compliance with industry regulations like... 119 00:04:26,960 --> 00:04:31,120 GDPR, APA, all those acronyms. 120 00:04:31,120 --> 00:04:33,080 Depending on the industry, of course. 121 00:04:33,080 --> 00:04:34,560 Sounds like a lot to manage. 122 00:04:34,560 --> 00:04:39,240 It is, but thankfully there are tools and techniques designed to address these challenges. 123 00:04:39,240 --> 00:04:41,840 Like mutual TLS, for example. 124 00:04:41,840 --> 00:04:43,960 It adds an extra layer of security. 125 00:04:43,960 --> 00:04:47,520 By verifying the identities of both the client and the server. 126 00:04:47,520 --> 00:04:49,120 Right, before they can even talk to each other. 127 00:04:49,120 --> 00:04:50,800 Like a double check system. 128 00:04:50,800 --> 00:04:51,160 Clever. 129 00:04:51,160 --> 00:04:52,280 And it's very effective. 130 00:04:52,280 --> 00:04:55,720 So we've got this secure, distributed system up and running. 131 00:04:55,720 --> 00:04:57,600 Now we need to keep a close eye on it, right? 132 00:04:57,600 --> 00:04:58,720 Absolutely. 133 00:04:58,720 --> 00:05:01,320 Monitoring and observability are essential. 134 00:05:01,320 --> 00:05:02,680 It's like having a... 135 00:05:02,680 --> 00:05:05,800 Dashboard for your entire system, tracking everything. 136 00:05:05,800 --> 00:05:08,880 Response times, errors, resource usage, you name it. 137 00:05:08,880 --> 00:05:09,920 Exactly. 138 00:05:09,920 --> 00:05:12,360 And with tools like Prometheus and Grafana. 139 00:05:12,360 --> 00:05:15,800 You can even set up alerts so you're notified if anything starts to go wrong. 140 00:05:15,800 --> 00:05:17,560 You're not just waiting for something to break. 141 00:05:17,560 --> 00:05:21,520 You're proactively looking for potential problems before they become major headaches. 142 00:05:21,520 --> 00:05:21,920 Right. 143 00:05:21,920 --> 00:05:22,880 Smart. 144 00:05:22,880 --> 00:05:27,680 But let's move beyond theory for a second and see SSOA and SFA in action. 145 00:05:27,680 --> 00:05:30,920 Rochon includes some great case studies in his book, right? 146 00:05:30,920 --> 00:05:33,520 Showing how companies are actually using these architectures. 147 00:05:33,520 --> 00:05:34,040 He does. 148 00:05:34,040 --> 00:05:37,880 Real-world examples from the commerce, finance, healthcare. 149 00:05:37,880 --> 00:05:38,760 Perfect. 150 00:05:38,760 --> 00:05:43,720 Let's dive into those case studies and see how SFA and SFA have tackled some real-world problems. 151 00:05:43,720 --> 00:05:45,520 Sounds good to me. 152 00:05:45,520 --> 00:05:48,520 All right, so we've seen how SFA can help us tackle the back end. 153 00:05:48,520 --> 00:05:50,560 We've touched on SFA for the front end. 154 00:05:50,560 --> 00:05:51,080 Right. 155 00:05:51,080 --> 00:05:54,720 What are some other advanced techniques we can use with SFA? 156 00:05:54,720 --> 00:05:56,840 You know, to really optimize that user experience. 157 00:05:56,840 --> 00:06:00,120 Well, one of the most effective techniques is lazy loading. 158 00:06:00,120 --> 00:06:01,000 Lazy loading? 159 00:06:01,000 --> 00:06:02,240 Okay, tell me more. 160 00:06:02,240 --> 00:06:03,880 It's all about efficiency. 161 00:06:03,880 --> 00:06:06,960 Instead of loading every single element on a webpage at once, 162 00:06:06,960 --> 00:06:07,480 which can take... 163 00:06:07,480 --> 00:06:08,160 ...less ever... 164 00:06:08,160 --> 00:06:11,000 You prioritize loading what the user needs to see first. 165 00:06:11,000 --> 00:06:11,600 Exactly. 166 00:06:11,600 --> 00:06:14,440 So let's say you're scrolling through a news website. 167 00:06:14,440 --> 00:06:17,920 With lazy loading, you'd only see the first few articles initially. 168 00:06:17,920 --> 00:06:19,280 And then as you scroll down... 169 00:06:19,280 --> 00:06:21,400 ...the rest of the articles would load in as you go. 170 00:06:21,400 --> 00:06:22,000 Makes sense. 171 00:06:22,000 --> 00:06:25,640 So it's all about making that initial page load as fast as possible. 172 00:06:25,640 --> 00:06:30,160 That's the key, especially for complex web applications with a ton of content. 173 00:06:30,160 --> 00:06:32,280 Because nobody wants to wait around for a page to load. 174 00:06:32,280 --> 00:06:33,480 No, they don't. 175 00:06:33,480 --> 00:06:36,600 Especially for e-commerce sites, every second counts. 176 00:06:36,600 --> 00:06:37,600 Makes sense. 177 00:06:37,600 --> 00:06:41,640 It's like, I don't know, walking into a well-organized store where everything has its place. 178 00:06:41,640 --> 00:06:44,000 Versus one where everything's just piled up randomly. 179 00:06:44,000 --> 00:06:45,720 You know exactly where to find what you need. 180 00:06:45,720 --> 00:06:50,560 Okay, what else can we do to make that front-hand experience as smooth as possible? 181 00:06:50,560 --> 00:06:55,160 Well, another really powerful technique is server-side rendering, or SSR for short. 182 00:06:55,160 --> 00:06:57,200 Okay, SSR. 183 00:06:57,200 --> 00:06:59,080 That sounds a bit more technical. 184 00:06:59,080 --> 00:07:01,120 It is a bit more under the hood, yeah. 185 00:07:01,120 --> 00:07:02,800 But the basic idea is this. 186 00:07:02,800 --> 00:07:05,440 The initial rendering of the webpage happens on the server. 187 00:07:05,440 --> 00:07:07,160 Instead of in the user's browser. 188 00:07:07,160 --> 00:07:08,160 Exactly. 189 00:07:08,160 --> 00:07:13,040 So the user sees a pre-rendered version almost instantly. 190 00:07:13,040 --> 00:07:14,800 Like it's already there waiting for them. 191 00:07:14,800 --> 00:07:15,800 Right. 192 00:07:15,800 --> 00:07:17,240 And this is great for a few reasons. 193 00:07:17,240 --> 00:07:19,960 First, it can really boost your SEO. 194 00:07:19,960 --> 00:07:21,760 Search engine optimization. 195 00:07:21,760 --> 00:07:25,880 Because search engines can easily crawl and index the content. 196 00:07:25,880 --> 00:07:26,880 Gotcha. 197 00:07:26,880 --> 00:07:29,040 So it helps your website rank higher in search results. 198 00:07:29,040 --> 00:07:30,240 Yeah, it can. 199 00:07:30,240 --> 00:07:35,680 And it's also great for users who have slower internet connections or older devices. 200 00:07:35,680 --> 00:07:37,960 Because they don't have to wait as long for that page to load. 201 00:07:37,960 --> 00:07:38,960 Exactly. 202 00:07:38,960 --> 00:07:42,640 So with lazy loading and SSR, it's really all about making that user experience. 203 00:07:42,640 --> 00:07:44,360 Yes, smooth as possible, yeah. 204 00:07:44,360 --> 00:07:48,720 And these advanced patterns, they really seem to build on those core principles of SSOA 205 00:07:48,720 --> 00:07:50,000 and SFA that we talked about. 206 00:07:50,000 --> 00:07:51,000 They do. 207 00:07:51,000 --> 00:07:55,120 Breaking things down, optimizing for performance, it all ties together. 208 00:07:55,120 --> 00:07:56,400 It really does. 209 00:07:56,400 --> 00:08:02,320 And speaking of optimization, we can't forget about the importance of DevOps and CICD pipelines. 210 00:08:02,320 --> 00:08:03,320 Right. 211 00:08:03,320 --> 00:08:04,800 We touched on that briefly earlier. 212 00:08:04,800 --> 00:08:09,760 DevOps is all about breaking down those silos between development and operations teams. 213 00:08:09,760 --> 00:08:13,360 It's about collaboration, automation, communication, all of that, yeah. 214 00:08:13,360 --> 00:08:17,480 And CICD, that's continuous integration and continuous deployment. 215 00:08:17,480 --> 00:08:18,480 That's a big part of it. 216 00:08:18,480 --> 00:08:19,480 It is. 217 00:08:19,480 --> 00:08:24,240 Imagine a pipeline where your code changes are automatically built, tested and deployed. 218 00:08:24,240 --> 00:08:25,680 Every time you make a change. 219 00:08:25,680 --> 00:08:27,160 Potentially, yeah. 220 00:08:27,160 --> 00:08:29,080 It really depends on how you set it up. 221 00:08:29,080 --> 00:08:33,800 So you're constantly integrating new code and then deploying it to the live website. 222 00:08:33,800 --> 00:08:34,720 Yeah. 223 00:08:34,720 --> 00:08:35,720 And then doing it all automatically. 224 00:08:35,720 --> 00:08:36,720 Yeah. 225 00:08:36,720 --> 00:08:37,720 No more manual processes. 226 00:08:37,720 --> 00:08:38,720 No more of that. 227 00:08:38,720 --> 00:08:43,320 And this is especially crucial for systems built with SSOA and SFA where you might have 228 00:08:43,320 --> 00:08:48,360 multiple microservices or micro front ends that are all being updated independently. 229 00:08:48,360 --> 00:08:49,880 Makes sense. 230 00:08:49,880 --> 00:08:51,600 Automation helps keep things organized. 231 00:08:51,600 --> 00:08:52,600 And efficient, yeah. 232 00:08:52,600 --> 00:08:55,720 And it minimizes those human errors that can creep in. 233 00:08:55,720 --> 00:08:57,000 It definitely does. 234 00:08:57,000 --> 00:09:01,800 It's like having an army of tireless robots handling those tedious tasks. 235 00:09:01,800 --> 00:09:04,680 Freeing up the developers to focus on the creative stuff. 236 00:09:04,680 --> 00:09:05,680 Exactly. 237 00:09:05,680 --> 00:09:08,720 And even with the best automation in place, things can still go wrong, right? 238 00:09:08,720 --> 00:09:10,000 Of course things happen. 239 00:09:10,000 --> 00:09:13,320 That's why disaster recovery and high availability are so crucial. 240 00:09:13,320 --> 00:09:18,080 So disaster recovery, that's like if something catastrophic happens, like a data center outage. 241 00:09:18,080 --> 00:09:19,440 Or a cyber attack. 242 00:09:19,440 --> 00:09:20,920 You need a plan to recover. 243 00:09:20,920 --> 00:09:22,720 It's like an insurance policy for your system. 244 00:09:22,720 --> 00:09:23,720 You got it. 245 00:09:23,720 --> 00:09:27,360 High availability on the other hand, that's more about preventing downtime in the first 246 00:09:27,360 --> 00:09:28,360 place. 247 00:09:28,360 --> 00:09:30,400 Keeping things running smoothly no matter what. 248 00:09:30,400 --> 00:09:31,400 Right. 249 00:09:31,400 --> 00:09:35,720 So you're seeing to the system for SSOA, that might mean data backups. 250 00:09:35,720 --> 00:09:37,360 For application, yeah. 251 00:09:37,360 --> 00:09:39,080 Failover mechanisms, things like that. 252 00:09:39,080 --> 00:09:40,840 And using immutable infrastructure. 253 00:09:40,840 --> 00:09:43,320 You can rebuild systems quickly if you need to. 254 00:09:43,320 --> 00:09:44,320 Exactly. 255 00:09:44,320 --> 00:09:46,680 And for SFA, we might use CDNs. 256 00:09:46,680 --> 00:09:47,680 Content delivery networks. 257 00:09:47,680 --> 00:09:52,800 To host those front end assets in multiple locations so they're always accessible. 258 00:09:52,800 --> 00:09:53,800 No matter what happens. 259 00:09:53,800 --> 00:09:54,800 Right. 260 00:09:54,800 --> 00:09:59,000 High availability for SSOA often involves things like load balancing. 261 00:09:59,000 --> 00:10:02,920 So if one server goes down, the traffic is automatically routed to another one. 262 00:10:02,920 --> 00:10:06,360 And health checks to constantly monitor the system. 263 00:10:06,360 --> 00:10:08,200 It's like having a self-healing system. 264 00:10:08,200 --> 00:10:12,320 That can identify and fix problems before they even impact the users. 265 00:10:12,320 --> 00:10:13,320 I love that idea. 266 00:10:13,320 --> 00:10:14,320 Yeah. 267 00:10:14,320 --> 00:10:17,560 We've talked a lot about building and scaling these complex systems and all of this can 268 00:10:17,560 --> 00:10:18,880 get pretty expensive, right? 269 00:10:18,880 --> 00:10:20,480 It can, yeah. 270 00:10:20,480 --> 00:10:23,200 That's why cost optimization is a crucial consideration. 271 00:10:23,200 --> 00:10:25,560 Because no one wants to see their cloud bill explode. 272 00:10:25,560 --> 00:10:26,560 Definitely not. 273 00:10:26,560 --> 00:10:30,680 So how do we keep those costs in check without compromising performance? 274 00:10:30,680 --> 00:10:33,760 Well, one key approach is right sizing your resources. 275 00:10:33,760 --> 00:10:34,760 Right sizing. 276 00:10:34,760 --> 00:10:35,760 Okay. 277 00:10:35,760 --> 00:10:36,760 What does that mean? 278 00:10:36,760 --> 00:10:40,160 It's about choosing the appropriate computing power for your microservices. 279 00:10:40,160 --> 00:10:42,920 You don't want to overspend on resources that you don't need. 280 00:10:42,920 --> 00:10:46,040 But you also don't want to under provision and end up with bottlenecks. 281 00:10:46,040 --> 00:10:47,040 Exactly. 282 00:10:47,040 --> 00:10:48,200 It's about finding that balance. 283 00:10:48,200 --> 00:10:49,200 That sweet spot. 284 00:10:49,200 --> 00:10:50,200 Right. 285 00:10:50,200 --> 00:10:53,560 Another powerful technique is auto-scaling. 286 00:10:53,560 --> 00:10:55,800 Which means that your system. 287 00:10:55,800 --> 00:10:58,160 Scales up or down based on demand. 288 00:10:58,160 --> 00:11:01,600 So if traffic suddenly spikes, you have more resources available. 289 00:11:01,600 --> 00:11:04,840 And then when things calm down, the system scales back down. 290 00:11:04,840 --> 00:11:07,280 So you're only paying for what you actually use. 291 00:11:07,280 --> 00:11:08,280 Exactly. 292 00:11:08,280 --> 00:11:13,840 And for certain types of tasks, serverless functions can be incredibly cost effective. 293 00:11:13,840 --> 00:11:14,840 Serverless. 294 00:11:14,840 --> 00:11:15,840 We talked about that earlier. 295 00:11:15,840 --> 00:11:16,840 Yeah. 296 00:11:16,840 --> 00:11:17,840 Remember, you only pay when the code is actually executing. 297 00:11:17,840 --> 00:11:18,840 Okay. 298 00:11:18,840 --> 00:11:20,480 So we've got some strategies for the back end. 299 00:11:20,480 --> 00:11:23,560 What about cost optimization for the front end? 300 00:11:23,560 --> 00:11:26,440 Well, we can optimize our CDN usage. 301 00:11:26,440 --> 00:11:30,000 By setting long cache lifetimes for those static assets. 302 00:11:30,000 --> 00:11:32,640 Like images, JavaScript files, things like that. 303 00:11:32,640 --> 00:11:34,720 So they're not constantly being downloaded. 304 00:11:34,720 --> 00:11:35,720 Exactly. 305 00:11:35,720 --> 00:11:38,400 And we can also minimize the size of those assets. 306 00:11:38,400 --> 00:11:40,920 To reduce the amount of data that needs to be transferred. 307 00:11:40,920 --> 00:11:41,920 Right. 308 00:11:41,920 --> 00:11:44,440 And server side rendering with caching. 309 00:11:44,440 --> 00:11:47,760 So the server doesn't have to regenerate the same page over and over again. 310 00:11:47,760 --> 00:11:48,760 Exactly. 311 00:11:48,760 --> 00:11:49,760 Smart. 312 00:11:49,760 --> 00:11:54,000 I think there are lots of ways to keep those cloud costs under control. 313 00:11:54,000 --> 00:11:55,320 There are. 314 00:11:55,320 --> 00:11:56,520 And it's an ongoing effort. 315 00:11:56,520 --> 00:12:00,280 It's something you have to be mindful of throughout the entire development process. 316 00:12:00,280 --> 00:12:01,280 Definitely. 317 00:12:01,280 --> 00:12:05,560 But a lot of organizations are still working with legacy systems, you know. 318 00:12:05,560 --> 00:12:08,880 Those large monolithic applications that have been around for years. 319 00:12:08,880 --> 00:12:14,520 And transitioning those systems to a more modern architecture can be incredibly daunting. 320 00:12:14,520 --> 00:12:16,720 Like trying to renovate a hundred year old house. 321 00:12:16,720 --> 00:12:18,080 It can feel that way. 322 00:12:18,080 --> 00:12:19,080 Yeah. 323 00:12:19,080 --> 00:12:20,080 And how do we even begin? 324 00:12:20,080 --> 00:12:23,000 Well, Roshan provides some good guidance in his book. 325 00:12:23,000 --> 00:12:24,000 Well good. 326 00:12:24,000 --> 00:12:27,480 He emphasizes that it's not about ripping everything out and starting from scratch. 327 00:12:27,480 --> 00:12:29,080 That would be a nightmare. 328 00:12:29,080 --> 00:12:30,520 It would be, yeah. 329 00:12:30,520 --> 00:12:32,760 It's about taking a more gradual approach. 330 00:12:32,760 --> 00:12:39,520 So you're strategically replacing parts of the legacy system with those SSOA and SFA 331 00:12:39,520 --> 00:12:40,520 components. 332 00:12:40,520 --> 00:12:41,520 Exactly. 333 00:12:41,520 --> 00:12:43,200 He calls it the strangler pattern. 334 00:12:43,200 --> 00:12:44,200 Strangler pattern, okay. 335 00:12:44,200 --> 00:12:48,240 Where you gradually strangle the old system by replacing parts of it with the new. 336 00:12:48,240 --> 00:12:50,480 Until the new system takes over completely. 337 00:12:50,480 --> 00:12:54,480 So you're modernizing the system without disrupting those ongoing operations. 338 00:12:54,480 --> 00:12:55,480 Right. 339 00:12:55,480 --> 00:13:00,200 And he also highlights the importance of identifying what are called bounded contexts. 340 00:13:00,200 --> 00:13:01,200 Bounded contexts. 341 00:13:01,200 --> 00:13:02,200 What are those? 342 00:13:02,200 --> 00:13:06,760 They're essentially logical areas of functionality within the system that can be isolated. 343 00:13:06,760 --> 00:13:11,360 So you're finding those parts that can be decoupled without causing a chain reaction. 344 00:13:11,360 --> 00:13:12,360 Exactly. 345 00:13:12,360 --> 00:13:14,960 And this applies to both the back end and the front end. 346 00:13:14,960 --> 00:13:19,880 You can use SFA to gradually replace parts of the front end with those micro front ends. 347 00:13:19,880 --> 00:13:23,880 Starting with those components that need frequent updates or independent scaling. 348 00:13:23,880 --> 00:13:24,880 Right. 349 00:13:24,880 --> 00:13:25,880 It's a multi-pronged approach. 350 00:13:25,880 --> 00:13:26,880 It is. 351 00:13:26,880 --> 00:13:29,960 But even when you've successfully implemented SSOA and SFA. 352 00:13:29,960 --> 00:13:31,760 When you've modernized your systems. 353 00:13:31,760 --> 00:13:35,400 Scaling those distributed architectures can bring its own set of challenges. 354 00:13:35,400 --> 00:13:36,400 Okay. 355 00:13:36,400 --> 00:13:38,760 Like what kinds of challenges are we talking about? 356 00:13:38,760 --> 00:13:44,480 Well, as your system grows, you're handling more users, more features, more data. 357 00:13:44,480 --> 00:13:45,480 Things get more complex. 358 00:13:45,480 --> 00:13:46,640 They do. 359 00:13:46,640 --> 00:13:48,760 And performance bottlenecks can emerge. 360 00:13:48,760 --> 00:13:51,880 Where a specific service or component gets overloaded. 361 00:13:51,880 --> 00:13:53,280 And that can slow down the entire system. 362 00:13:53,280 --> 00:13:55,320 It's like a traffic jam in your software. 363 00:13:55,320 --> 00:13:56,320 Not good. 364 00:13:56,320 --> 00:13:57,320 No. 365 00:13:57,320 --> 00:14:02,120 And another challenge is maintaining data consistency across a distributed system. 366 00:14:02,120 --> 00:14:03,720 That sounds tricky. 367 00:14:03,720 --> 00:14:06,760 When you have data spread across multiple services. 368 00:14:06,760 --> 00:14:08,440 Each with its own database. 369 00:14:08,440 --> 00:14:10,520 Keeping everything in sync can be a real headache. 370 00:14:10,520 --> 00:14:11,840 It can, yeah. 371 00:14:11,840 --> 00:14:14,400 It's like trying to manage multiple to-do lists. 372 00:14:14,400 --> 00:14:15,400 Reach on a different device. 373 00:14:15,400 --> 00:14:17,840 You need a way to make sure they're all up to date. 374 00:14:17,840 --> 00:14:18,840 Exactly. 375 00:14:18,840 --> 00:14:20,720 And as your system expands geographically. 376 00:14:20,720 --> 00:14:23,160 You have users all over the world. 377 00:14:23,160 --> 00:14:25,000 Managing latency becomes critical. 378 00:14:25,000 --> 00:14:26,000 Latency. 379 00:14:26,000 --> 00:14:27,000 That's the delay between. 380 00:14:27,000 --> 00:14:29,000 How users action and the systems response. 381 00:14:29,000 --> 00:14:30,000 Okay. 382 00:14:30,000 --> 00:14:33,560 So you want to make sure that users everywhere have a smooth and responsive experience. 383 00:14:33,560 --> 00:14:34,560 Right. 384 00:14:34,560 --> 00:14:36,360 And of course, as the system grows. 385 00:14:36,360 --> 00:14:37,360 Security risks increase. 386 00:14:37,360 --> 00:14:38,360 They do. 387 00:14:38,360 --> 00:14:44,800 Safeguarding a large number of microservices or micro front ends requires a really comprehensive 388 00:14:44,800 --> 00:14:45,800 strategy. 389 00:14:45,800 --> 00:14:48,360 It's like securing a city with multiple entry points. 390 00:14:48,360 --> 00:14:50,200 You need a system that can protect all of them. 391 00:14:50,200 --> 00:14:51,200 Okay. 392 00:14:51,200 --> 00:14:52,280 So we've got all these challenges. 393 00:14:52,280 --> 00:14:54,160 What are some strategies for addressing them? 394 00:14:54,160 --> 00:14:59,160 Well, Roshan emphasizes the importance of using monitoring tools to identify those performance 395 00:14:59,160 --> 00:15:00,160 bottlenecks. 396 00:15:00,160 --> 00:15:02,680 So you can address them before they become major problem. 397 00:15:02,680 --> 00:15:03,680 Exactly. 398 00:15:03,680 --> 00:15:08,080 And for data consistency, patterns like saga orchestration can be very effective. 399 00:15:08,080 --> 00:15:11,040 Saga orchestration, that's for managing those. 400 00:15:11,040 --> 00:15:12,360 Complex distributed transactions. 401 00:15:12,360 --> 00:15:13,360 Right. 402 00:15:13,360 --> 00:15:14,360 And for latency issues. 403 00:15:14,360 --> 00:15:17,360 Deploying services and data closer to the users. 404 00:15:17,360 --> 00:15:18,520 It make a big difference. 405 00:15:18,520 --> 00:15:19,520 It can. 406 00:15:19,520 --> 00:15:23,000 And for security, centralized security policies are key. 407 00:15:23,000 --> 00:15:25,200 Along with tools like IAM. 408 00:15:25,200 --> 00:15:26,600 Identity and access management. 409 00:15:26,600 --> 00:15:27,600 Right. 410 00:15:27,600 --> 00:15:29,280 And regular security audits. 411 00:15:29,280 --> 00:15:31,840 Can help identify and address vulnerabilities. 412 00:15:31,840 --> 00:15:33,560 So it's all about being proactive. 413 00:15:33,560 --> 00:15:36,160 And having a multi-layered approach to security. 414 00:15:36,160 --> 00:15:40,080 Okay, what about strategies specific to scaling those microservices? 415 00:15:40,080 --> 00:15:43,760 Well, horizontal scaling and auto scaling are key techniques. 416 00:15:43,760 --> 00:15:48,560 So you can automatically create more instances of a microservice as needed. 417 00:15:48,560 --> 00:15:49,680 Exactly. 418 00:15:49,680 --> 00:15:53,120 If traffic increases, the system can adapt. 419 00:15:53,120 --> 00:15:54,880 And for massive data sets. 420 00:15:54,880 --> 00:15:58,480 Data partitioning and sharding can be very effective. 421 00:15:58,480 --> 00:16:01,800 So you're breaking those large data sets into smaller chunks. 422 00:16:01,800 --> 00:16:05,280 And distributing them across multiple nodes or regions. 423 00:16:05,280 --> 00:16:06,280 Okay. 424 00:16:06,280 --> 00:16:08,680 And as the number of microservices grows. 425 00:16:08,680 --> 00:16:10,240 Using a service mesh can really help. 426 00:16:10,240 --> 00:16:11,400 It's a service mesh. 427 00:16:11,400 --> 00:16:12,400 Okay. 428 00:16:12,400 --> 00:16:13,400 What does that do? 429 00:16:13,400 --> 00:16:16,000 It helps manage the communication between those microservices. 430 00:16:16,000 --> 00:16:17,240 And the traffic flow. 431 00:16:17,240 --> 00:16:18,240 And security. 432 00:16:18,240 --> 00:16:19,760 So it's like a traffic cop for your microservices. 433 00:16:19,760 --> 00:16:21,280 That's a good analogy. 434 00:16:21,280 --> 00:16:24,040 What about scaling those micro frontends in SFA? 435 00:16:24,040 --> 00:16:25,720 Well CDNs are essential for that. 436 00:16:25,720 --> 00:16:28,200 They allow you to cache those frontend assets. 437 00:16:28,200 --> 00:16:29,400 All over the world. 438 00:16:29,400 --> 00:16:32,600 So no matter where the user is, they can access the application quickly. 439 00:16:32,600 --> 00:16:33,600 Exactly. 440 00:16:33,600 --> 00:16:36,240 And versioning those micro frontends is crucial. 441 00:16:36,240 --> 00:16:38,040 To make sure everyone's getting the right version. 442 00:16:38,040 --> 00:16:39,440 And module federation. 443 00:16:39,440 --> 00:16:42,320 Which allows for that dynamic composition and updating. 444 00:16:42,320 --> 00:16:45,120 Can make the frontend much more agile. 445 00:16:45,120 --> 00:16:48,040 So it's not just about scaling those services in frontends. 446 00:16:48,040 --> 00:16:50,000 You also need to think about. 447 00:16:50,000 --> 00:16:51,120 Data and infrastructure. 448 00:16:51,120 --> 00:16:53,400 So using distributed databases. 449 00:16:53,400 --> 00:16:55,240 Data replication strategies. 450 00:16:55,240 --> 00:16:56,400 Global load balancing. 451 00:16:56,400 --> 00:16:57,400 Things like that. 452 00:16:57,400 --> 00:16:58,400 All of that's important. 453 00:16:58,400 --> 00:17:01,040 To create a truly global system that can handle anything. 454 00:17:01,040 --> 00:17:02,040 Exactly. 455 00:17:02,040 --> 00:17:03,680 So we've talked about the present. 456 00:17:03,680 --> 00:17:04,680 We've talked about the challenges. 457 00:17:04,680 --> 00:17:06,240 Now let's talk about the future. 458 00:17:06,240 --> 00:17:08,520 The future of software architecture. 459 00:17:08,520 --> 00:17:10,640 What trends are on the horizon. 460 00:17:10,640 --> 00:17:14,360 What does the future hold for SSOA and SFA. 461 00:17:14,360 --> 00:17:17,200 Well there are a lot of exciting developments happening. 462 00:17:17,200 --> 00:17:18,200 Yeah. 463 00:17:18,200 --> 00:17:21,400 There are a lot of really interesting trends emerging. 464 00:17:21,400 --> 00:17:26,080 One that's already making a big impact is serverless computing. 465 00:17:26,080 --> 00:17:27,080 Serverless. 466 00:17:27,080 --> 00:17:28,080 We touched on that a bit earlier. 467 00:17:28,080 --> 00:17:29,080 With those serverless functions. 468 00:17:29,080 --> 00:17:30,080 Right. 469 00:17:30,080 --> 00:17:31,680 But serverless is becoming much more than that. 470 00:17:31,680 --> 00:17:33,080 It's really a game changer. 471 00:17:33,080 --> 00:17:34,080 In what way. 472 00:17:34,080 --> 00:17:38,320 It allows developers to just focus on writing code without having to worry about managing 473 00:17:38,320 --> 00:17:39,480 those servers. 474 00:17:39,480 --> 00:17:44,920 So no more setting up servers, configuring them, keeping them up to date. 475 00:17:44,920 --> 00:17:45,920 Exactly. 476 00:17:45,920 --> 00:17:49,000 The code just runs in response to certain events. 477 00:17:49,000 --> 00:17:51,160 And you only pay for the actual execution time. 478 00:17:51,160 --> 00:17:52,160 Right. 479 00:17:52,160 --> 00:17:53,160 So it's incredibly efficient. 480 00:17:53,160 --> 00:17:54,920 And it scales automatically. 481 00:17:54,920 --> 00:17:57,400 You don't have to worry about capacity planning or anything like that. 482 00:17:57,400 --> 00:17:58,400 Right. 483 00:17:58,400 --> 00:17:59,400 The infrastructure just takes care of itself. 484 00:17:59,400 --> 00:18:03,600 I can see how that would be really appealing for microservices in SSOA architecture. 485 00:18:03,600 --> 00:18:04,600 Absolutely. 486 00:18:04,600 --> 00:18:05,600 It's a perfect fit. 487 00:18:05,600 --> 00:18:10,120 And it's even starting to influence the front end with the emergence of. 488 00:18:10,120 --> 00:18:11,120 Serverless front ends. 489 00:18:11,120 --> 00:18:12,120 Okay. 490 00:18:12,120 --> 00:18:13,120 Now that's interesting. 491 00:18:13,120 --> 00:18:14,120 It is. 492 00:18:14,120 --> 00:18:16,640 It's still early days, but we're seeing some really interesting developments. 493 00:18:16,640 --> 00:18:18,480 So what other trends are on your radar? 494 00:18:18,480 --> 00:18:22,280 Well, artificial intelligence or AI is obviously a big one. 495 00:18:22,280 --> 00:18:24,440 It's transforming just about everything. 496 00:18:24,440 --> 00:18:26,280 Including software architecture, I imagine. 497 00:18:26,280 --> 00:18:27,280 Absolutely. 498 00:18:27,280 --> 00:18:32,960 It's starting to see AI-powered microservices that can make intelligent decisions. 499 00:18:32,960 --> 00:18:34,640 Based on the data they're processing? 500 00:18:34,640 --> 00:18:35,640 Exactly. 501 00:18:35,640 --> 00:18:40,760 They can analyze data, make predictions, even learn and adapt over time. 502 00:18:40,760 --> 00:18:43,600 So it's like those microservices are becoming intelligent agents? 503 00:18:43,600 --> 00:18:45,040 In a way, yes. 504 00:18:45,040 --> 00:18:49,280 And AI is also being used to assist with software development itself. 505 00:18:49,280 --> 00:18:54,920 So tools that can analyze code, optimize performance, maybe even help design architectures. 506 00:18:54,920 --> 00:18:55,920 It's all happening. 507 00:18:55,920 --> 00:18:59,360 We'll even talk about AI becoming the architect of the future. 508 00:18:59,360 --> 00:19:00,360 Wow. 509 00:19:00,360 --> 00:19:02,080 So AI is going to replace software architects? 510 00:19:02,080 --> 00:19:05,640 I don't think we're there yet, but AI is certainly going to play a much bigger role 511 00:19:05,640 --> 00:19:07,600 in software development going forward. 512 00:19:07,600 --> 00:19:10,120 It's both exciting and a little bit unsettling. 513 00:19:10,120 --> 00:19:11,200 It is. 514 00:19:11,200 --> 00:19:14,560 But AI isn't the only disruptive force out there. 515 00:19:14,560 --> 00:19:18,680 Edge computing and the Internet of Things are also having a huge impact on software 516 00:19:18,680 --> 00:19:19,680 architecture. 517 00:19:19,680 --> 00:19:20,680 Edge computing, right? 518 00:19:20,680 --> 00:19:25,040 That's where you're moving processing power closer to where the data is being generated. 519 00:19:25,040 --> 00:19:26,040 Exactly. 520 00:19:26,040 --> 00:19:29,760 Instead of relying on those centralized cloud data centers, you're processing data at the 521 00:19:29,760 --> 00:19:30,760 edge. 522 00:19:30,760 --> 00:19:34,440 Which could be a user's device, a sensor, a smart appliance. 523 00:19:34,440 --> 00:19:35,440 Anything that's generating data. 524 00:19:35,440 --> 00:19:36,440 Okay. 525 00:19:36,440 --> 00:19:38,760 So how does that impact SSOA and SFA? 526 00:19:38,760 --> 00:19:43,720 Well, with SSOA, you can deploy those microservices closer to the users, improving performance 527 00:19:43,720 --> 00:19:45,160 and responsiveness. 528 00:19:45,160 --> 00:19:47,120 Because the data doesn't have to travel as far. 529 00:19:47,120 --> 00:19:48,120 Exactly. 530 00:19:48,120 --> 00:19:52,040 And with SFA, you can run those front-end components at the edge. 531 00:19:52,040 --> 00:19:55,440 Using those web applications incredibly fast and snappy. 532 00:19:55,440 --> 00:19:56,440 Right. 533 00:19:56,440 --> 00:19:57,600 No matter where the user is located. 534 00:19:57,600 --> 00:20:00,760 It's like edge computing is bringing the cloud closer to us. 535 00:20:00,760 --> 00:20:02,320 It is, in a way, yeah. 536 00:20:02,320 --> 00:20:06,640 And then there's the rise of multi-cloud and hybrid cloud architectures. 537 00:20:06,640 --> 00:20:08,920 Which means that organizations are using... 538 00:20:08,920 --> 00:20:11,320 A combination of different cloud providers. 539 00:20:11,320 --> 00:20:13,720 Or a mix of public and private cloud environments. 540 00:20:13,720 --> 00:20:14,720 Right. 541 00:20:14,720 --> 00:20:17,560 It's all about flexibility and avoiding vendor lock-in. 542 00:20:17,560 --> 00:20:21,200 And this has implications for SSOA and SFA. 543 00:20:21,200 --> 00:20:22,200 It does. 544 00:20:22,200 --> 00:20:26,880 With SSOA, you can deploy those microservices across different cloud environments. 545 00:20:26,880 --> 00:20:29,240 So you're not tied to a single provider. 546 00:20:29,240 --> 00:20:30,240 Exactly. 547 00:20:30,240 --> 00:20:33,760 And with SFA, you can host those front-end components wherever it makes the most sense. 548 00:20:33,760 --> 00:20:36,680 Whether it's in the cloud, on-premises, or at the edge. 549 00:20:36,680 --> 00:20:37,680 Right. 550 00:20:37,680 --> 00:20:39,640 And that brings us to another interesting trend. 551 00:20:39,640 --> 00:20:40,640 Blockchain. 552 00:20:40,640 --> 00:20:41,640 Blockchain. 553 00:20:41,640 --> 00:20:42,640 That's the technology behind cryptocurrencies. 554 00:20:42,640 --> 00:20:44,320 It is, but it's much more than that. 555 00:20:44,320 --> 00:20:48,240 It's a distributed ledger technology that can be used for all sorts of things. 556 00:20:48,240 --> 00:20:49,240 Like what? 557 00:20:49,240 --> 00:20:54,600 One of the key benefits is that it offers secure, tamper-proof transaction processing. 558 00:20:54,600 --> 00:20:58,400 So it's like a permanent, unchangeable record of every transaction. 559 00:20:58,400 --> 00:20:59,400 Exactly. 560 00:20:59,400 --> 00:21:03,480 And this can be incredibly valuable in a distributed environment like SSOA. 561 00:21:03,480 --> 00:21:05,960 Where you have multiple services interacting with each other. 562 00:21:05,960 --> 00:21:06,960 Right. 563 00:21:06,960 --> 00:21:11,160 You can use blockchain to build decentralized microservices that handle transactions with 564 00:21:11,160 --> 00:21:13,720 a high level of security and trust. 565 00:21:13,720 --> 00:21:14,720 Interesting. 566 00:21:14,720 --> 00:21:15,800 And what about SFA? 567 00:21:15,800 --> 00:21:17,840 Can you use blockchain on the front-end? 568 00:21:17,840 --> 00:21:22,440 You can, especially for applications that require strong data privacy, like healthcare 569 00:21:22,440 --> 00:21:23,880 or voting systems. 570 00:21:23,880 --> 00:21:24,880 Makes sense. 571 00:21:24,880 --> 00:21:28,480 So with all these emerging technologies, it sounds like the future of software architecture 572 00:21:28,480 --> 00:21:29,840 is going to be pretty wild. 573 00:21:29,840 --> 00:21:30,840 It is. 574 00:21:30,840 --> 00:21:32,440 It's an exciting time to be in this field. 575 00:21:32,440 --> 00:21:37,000 But one thing's for sure, SSOA and SFA are going to have to adapt to stay relevant. 576 00:21:37,000 --> 00:21:38,760 In what ways do you see them evolving? 577 00:21:38,760 --> 00:21:44,440 Well, with SSOA, I think we're going to see a rise in event-driven architectures. 578 00:21:44,440 --> 00:21:46,800 Where microservices are triggered by real-time events. 579 00:21:46,800 --> 00:21:47,800 Exactly. 580 00:21:47,800 --> 00:21:51,240 And the source, which we talked about earlier, is going to become even more important. 581 00:21:51,240 --> 00:21:54,400 For tracking those events and maintaining data consistency. 582 00:21:54,400 --> 00:21:55,400 Right. 583 00:21:55,400 --> 00:22:00,320 And with SFA, I think we're going to see a move towards more composable front-ends. 584 00:22:00,320 --> 00:22:01,920 Composable, meaning that you can assemble them. 585 00:22:01,920 --> 00:22:04,320 From smaller, reusable components. 586 00:22:04,320 --> 00:22:09,200 So it's like having a set of building blocks that you can use to create different user experiences. 587 00:22:09,200 --> 00:22:10,200 Exactly. 588 00:22:10,200 --> 00:22:16,160 And AI is going to play a bigger role in both SSOA and SFA, enabling more intelligent architecture 589 00:22:16,160 --> 00:22:17,160 design. 590 00:22:17,160 --> 00:22:20,280 And also, more powerful healing systems that can identify and fix problems on their own. 591 00:22:20,280 --> 00:22:21,280 Right. 592 00:22:21,280 --> 00:22:23,160 We're moving towards more autonomous systems. 593 00:22:23,160 --> 00:22:25,680 It's incredible to think about what the future holds. 594 00:22:25,680 --> 00:22:26,680 It is. 595 00:22:26,680 --> 00:22:27,880 It's going to be an interesting ride. 596 00:22:27,880 --> 00:22:31,880 Well, on that note, I want to thank you for joining me on this deep dive into the world 597 00:22:31,880 --> 00:22:34,560 of SSOA and SFA. 598 00:22:34,560 --> 00:22:35,560 It's been a pleasure. 599 00:22:35,560 --> 00:22:40,760 We've explored the key principles, looked at some real-world examples, delved into advanced 600 00:22:40,760 --> 00:22:43,920 design patterns, and even taken a glimpse into the future. 601 00:22:43,920 --> 00:22:45,640 It's been a comprehensive journey. 602 00:22:45,640 --> 00:22:46,800 It has. 603 00:22:46,800 --> 00:22:50,400 To our listeners, we encourage you to explore this topic further. 604 00:22:50,400 --> 00:22:52,960 Roshan Gavande's book is an excellent resource. 605 00:22:52,960 --> 00:22:53,960 It really is. 606 00:22:53,960 --> 00:22:56,240 It's packed with insights and practical guidance. 607 00:22:56,240 --> 00:22:59,080 And as we wrap up, we leave you with this thought. 608 00:22:59,080 --> 00:23:03,820 As software continues to shape our world, what role will you play in building the systems 609 00:23:03,820 --> 00:23:05,320 of the future? 610 00:23:05,320 --> 00:23:09,360 Until next time, keep exploring, keep learning, and keep building. 611 00:23:09,360 --> 00:23:18,720 Please let me know if you need any further assistance.