WEBVTT

1
00:00:00.120 --> 00:00:03.080
<v Speaker 1>Have you ever felt like you're just, you know, playing

2
00:00:03.120 --> 00:00:06.480
<v Speaker 1>whack a mole with your software releases? Yeah, one minute

3
00:00:06.519 --> 00:00:09.800
<v Speaker 1>you're pushing code, the next you're debugging some build failure,

4
00:00:10.039 --> 00:00:14.039
<v Speaker 1>then a deployment hiccup, and all while trying to keep

5
00:00:14.119 --> 00:00:18.719
<v Speaker 1>multiple apps across different platforms moving forward. It's well, it's exhausting.

6
00:00:18.760 --> 00:00:20.480
<v Speaker 1>You feel like you're constantly fighting fires.

7
00:00:20.920 --> 00:00:26.199
<v Speaker 2>That feeling is incredibly common. I think the sheer speed

8
00:00:26.480 --> 00:00:30.000
<v Speaker 2>of modern development, especially in application life cycle management, it

9
00:00:30.000 --> 00:00:33.359
<v Speaker 2>can just easily overwhelm teams, right, and that leads straight

10
00:00:33.399 --> 00:00:36.600
<v Speaker 2>to those frustrating late stage failures and yeah, a lot

11
00:00:36.640 --> 00:00:37.560
<v Speaker 2>of manual firefighting.

12
00:00:38.640 --> 00:00:40.880
<v Speaker 1>Well, today we're not just going to talk about that struggle.

13
00:00:40.920 --> 00:00:42.479
<v Speaker 1>We're actually going to show you how to conquer it.

14
00:00:42.960 --> 00:00:46.679
<v Speaker 1>Our deep dive is all about Jenkins and this really

15
00:00:46.719 --> 00:00:51.079
<v Speaker 1>game changing philosophy called pipeline as Code, and specifically using

16
00:00:51.079 --> 00:00:54.159
<v Speaker 1>the elegance and frankly the power of Yamil our mission

17
00:00:54.560 --> 00:00:57.840
<v Speaker 1>to sort of demystify how these tools can streamline your

18
00:00:58.079 --> 00:01:02.600
<v Speaker 1>entire development process. You back control exactly whether you're crafting

19
00:01:02.640 --> 00:01:06.959
<v Speaker 1>mobile apps, complex hybrid solutions, or you know, robust web platforms.

20
00:01:07.319 --> 00:01:12.159
<v Speaker 2>We've distilled the most potent insights from a really foundational

21
00:01:12.159 --> 00:01:16.599
<v Speaker 2>guide hands on pipeline as gamble with Jenkins, and combine

22
00:01:16.599 --> 00:01:20.760
<v Speaker 2>that with other essential stuff on DevOps and automation. We're

23
00:01:20.760 --> 00:01:24.560
<v Speaker 2>here to offer you, hopefully a genuine shortcut, not just

24
00:01:24.640 --> 00:01:27.680
<v Speaker 2>being informed, but you know, truly insightful, getting those aha

25
00:01:27.799 --> 00:01:29.879
<v Speaker 2>moments that clarify why things work.

26
00:01:30.359 --> 00:01:33.560
<v Speaker 1>So, if you're ready to accelerate your software delivery, dramatically

27
00:01:33.560 --> 00:01:37.319
<v Speaker 1>improve quality, and finally move past the complexity of well

28
00:01:37.599 --> 00:01:41.599
<v Speaker 1>chaotic build processes, yeah, settle in. You are absolutely in

29
00:01:41.599 --> 00:01:42.680
<v Speaker 1>the right place. Let's dig in.

30
00:01:42.799 --> 00:01:45.120
<v Speaker 2>Okay, let's unpack this a bit before we get into

31
00:01:45.159 --> 00:01:47.599
<v Speaker 2>the nitty gritty of pipelines themselves. We kind of need

32
00:01:47.599 --> 00:01:50.799
<v Speaker 2>the big picture, right right. Why is DevOps everywhere? And

33
00:01:50.840 --> 00:01:53.560
<v Speaker 2>what does it really mean for how we build software today?

34
00:01:53.840 --> 00:01:54.760
<v Speaker 2>Is it just a buzzword?

35
00:01:55.040 --> 00:01:58.840
<v Speaker 1>That's a crucial distinction, because DevOps is fundamentally a cultural transformation.

36
00:01:59.519 --> 00:02:02.799
<v Speaker 1>It's really far more than just a new set of tools.

37
00:02:03.359 --> 00:02:08.919
<v Speaker 2>It champions the seamless integration of people, processes and tools.

38
00:02:09.120 --> 00:02:11.159
<v Speaker 2>Think of it like breaking down those old walls, the

39
00:02:11.280 --> 00:02:15.240
<v Speaker 2>silos exactly, the silos between dev and OPS teams. It's

40
00:02:15.280 --> 00:02:21.879
<v Speaker 2>about fostering shared ownership, empowering people, and designing processes that

41
00:02:22.000 --> 00:02:26.360
<v Speaker 2>encourage rapid feedback and continuous improvement. Without that cultural glue,

42
00:02:26.719 --> 00:02:29.680
<v Speaker 2>even the best tools just well they sit idle.

43
00:02:30.240 --> 00:02:33.240
<v Speaker 1>That makes sense because I remember the old way, traditional

44
00:02:33.280 --> 00:02:36.360
<v Speaker 1>serial development. It felt like walking through a minefield sometimes.

45
00:02:36.439 --> 00:02:39.240
<v Speaker 1>Oh yeah, you'd only find critical issues right before launch,

46
00:02:39.319 --> 00:02:42.479
<v Speaker 1>and fixing them then was just incredibly costly and stressful,

47
00:02:42.520 --> 00:02:44.319
<v Speaker 1>a total reactive nightmare.

48
00:02:44.360 --> 00:02:49.159
<v Speaker 2>Precisely, that serial approach basically guaranteed late stage failures. Then

49
00:02:49.199 --> 00:02:51.800
<v Speaker 2>Agile came along, giving us iterative development, which is a

50
00:02:51.800 --> 00:02:55.240
<v Speaker 2>big step, a huge step forward in responsiveness absolutely, But

51
00:02:55.360 --> 00:02:59.080
<v Speaker 2>even agile by itself could actually magnify inefficiencies if you

52
00:02:59.120 --> 00:03:02.800
<v Speaker 2>weren't automating them. Those continuous parts of the workflow, how

53
00:03:02.919 --> 00:03:06.599
<v Speaker 2>so well, imagine having a fast iterative cycle but still

54
00:03:06.639 --> 00:03:10.280
<v Speaker 2>manually testing and deploying everything. It just quickly becomes a bottleneck.

55
00:03:10.479 --> 00:03:11.680
<v Speaker 1>Right, Oh, okay, got it.

56
00:03:11.719 --> 00:03:16.680
<v Speaker 2>And that's exactly where continuous integration and continuous delivery step in.

57
00:03:16.719 --> 00:03:20.199
<v Speaker 1>Right, CI and CD. You hear about them constantly for

58
00:03:20.240 --> 00:03:23.439
<v Speaker 1>those of us maybe already deep in the trenches. What's

59
00:03:23.479 --> 00:03:28.159
<v Speaker 1>the real like the magic that these continuous practices unlock well.

60
00:03:28.039 --> 00:03:30.680
<v Speaker 2>For folks already familiar, CI isn't just about running tests.

61
00:03:31.080 --> 00:03:36.319
<v Speaker 2>It's about relentlessly integrating codes so frequently, ideally multiple times

62
00:03:36.360 --> 00:03:39.599
<v Speaker 2>a day, that conflicts and bugs simply can't fester for long.

63
00:03:39.800 --> 00:03:40.159
<v Speaker 1>Okay.

64
00:03:40.319 --> 00:03:43.960
<v Speaker 2>It forces this early collaborative detection loop. It prevents those

65
00:03:44.080 --> 00:03:47.199
<v Speaker 2>dreaded integration hell scenarios that used to plague us. It

66
00:03:47.280 --> 00:03:51.400
<v Speaker 2>fundamentally shifts quality left, meaning issues are caught as they're introduced,

67
00:03:51.439 --> 00:03:52.599
<v Speaker 2>not days or weeks later.

68
00:03:52.840 --> 00:03:56.120
<v Speaker 1>So CI gets us that continuously integrated state, catching things

69
00:03:56.199 --> 00:03:59.840
<v Speaker 1>super fast. But how does continuous delivery take that a

70
00:04:00.039 --> 00:04:02.439
<v Speaker 1>step further? Making sure our software isn't just built, but

71
00:04:02.639 --> 00:04:05.000
<v Speaker 1>always deployable. What's the CD magic?

72
00:04:05.280 --> 00:04:08.039
<v Speaker 2>Yeah? CD builds right on that foundation. It automates the

73
00:04:08.080 --> 00:04:12.639
<v Speaker 2>deployment of your application packages into various environments you know, dev, testing, uat,

74
00:04:13.240 --> 00:04:18.319
<v Speaker 2>eventually production. The aha here is that your software isn't

75
00:04:18.360 --> 00:04:20.879
<v Speaker 2>just ready to go, it's proven to be releasable at

76
00:04:20.879 --> 00:04:21.639
<v Speaker 2>any given moment.

77
00:04:21.759 --> 00:04:23.720
<v Speaker 1>Okay, that's a key difference, it really is.

78
00:04:23.800 --> 00:04:28.519
<v Speaker 2>This capability transforms deployment from this high stakes, manual, often

79
00:04:28.600 --> 00:04:33.199
<v Speaker 2>scary event into a routine, low risk process. And you know,

80
00:04:33.240 --> 00:04:38.519
<v Speaker 2>beyond just CICD. We're now embracing continuous testing, monitoring, feedback, innovation,

81
00:04:39.079 --> 00:04:41.920
<v Speaker 2>all working together the whole life cycle exactly, the whole

82
00:04:41.959 --> 00:04:43.519
<v Speaker 2>application management life cycle.

83
00:04:43.600 --> 00:04:47.319
<v Speaker 1>And Jenkins. Where does Jenkins fit into orchestrating all of this?

84
00:04:47.399 --> 00:04:50.199
<v Speaker 1>It seems like the beating heart of so many CICD setups.

85
00:04:50.319 --> 00:04:53.839
<v Speaker 2>Jenkins is truly that central nervous system for many teams.

86
00:04:53.920 --> 00:04:58.000
<v Speaker 2>It's an open source automation server designed specifically to simplify

87
00:04:58.079 --> 00:05:00.519
<v Speaker 2>setting up these complex CICD pipelines.

88
00:05:00.600 --> 00:05:02.240
<v Speaker 1>Its flexibility is pretty amazing.

89
00:05:02.439 --> 00:05:06.800
<v Speaker 2>It's remarkable. Yeah, it supports virtually any combination of languages, tools,

90
00:05:07.439 --> 00:05:11.120
<v Speaker 2>source code, repositories. And what's truly fascinating is its evolution.

91
00:05:12.199 --> 00:05:14.639
<v Speaker 2>Jenkins actually started way back in two thousand and four,

92
00:05:14.680 --> 00:05:15.600
<v Speaker 2>originally as Hudson.

93
00:05:15.720 --> 00:05:17.360
<v Speaker 1>Oh right, Hudson, I remember that.

94
00:05:17.560 --> 00:05:21.480
<v Speaker 2>Yeah, primarily as a CI server. But then after Jenkins

95
00:05:21.560 --> 00:05:25.279
<v Speaker 2>two point zero, it underwent this really profound transformation. It

96
00:05:25.360 --> 00:05:28.839
<v Speaker 2>evolved from just a CI tool into a powerful orchestrator

97
00:05:29.000 --> 00:05:32.600
<v Speaker 2>for the entire application management life cycle. Ah, and that

98
00:05:32.759 --> 00:05:37.040
<v Speaker 2>shift really solidified its role as a cornerstone for modern DevOps.

99
00:05:37.120 --> 00:05:40.160
<v Speaker 1>Okay, here's where it gets really interesting for me. Jenkins

100
00:05:40.199 --> 00:05:44.160
<v Speaker 1>wasn't always this powerhouse of orchestration. It started quite differently.

101
00:05:44.680 --> 00:05:47.160
<v Speaker 1>How did it evolve? How did it meet these escalating

102
00:05:47.199 --> 00:05:48.920
<v Speaker 1>demands of modern development?

103
00:05:49.319 --> 00:05:52.360
<v Speaker 2>Yeah, Jenkins has certainly come a long long way. Historically,

104
00:05:52.360 --> 00:05:55.240
<v Speaker 2>pipelines were often built using UI based plugins like the

105
00:05:55.279 --> 00:05:58.279
<v Speaker 2>Build Pipeline plug in clickops. Basically, pretty much, you'd create

106
00:05:58.319 --> 00:06:01.360
<v Speaker 2>individual jobs for each a task, build, test, deploy, and

107
00:06:01.399 --> 00:06:04.000
<v Speaker 2>then literally link them together with clicks in the Jenkins UI.

108
00:06:04.120 --> 00:06:06.519
<v Speaker 1>It worked, but managing it must have been tough.

109
00:06:06.839 --> 00:06:12.040
<v Speaker 2>Oh, it became incredibly complex, especially across multiple projects, and

110
00:06:12.439 --> 00:06:15.560
<v Speaker 2>if part of the pipeline failed, debugging was often this

111
00:06:15.720 --> 00:06:19.240
<v Speaker 2>nightmare of trial and error within the UI. Making changes

112
00:06:19.279 --> 00:06:22.600
<v Speaker 2>meant tons of manual rework with no clear audit trail.

113
00:06:22.959 --> 00:06:25.680
<v Speaker 1>Yeah, that sounds brittle, And how do you version control

114
00:06:25.720 --> 00:06:27.800
<v Speaker 1>that if it's all just clicks in a UI separate

115
00:06:27.839 --> 00:06:29.199
<v Speaker 1>from your actual application code?

116
00:06:29.240 --> 00:06:33.439
<v Speaker 2>Exactly? That challenge was the catalyst really for the crucial

117
00:06:33.480 --> 00:06:37.560
<v Speaker 2>shift towards pipeline's code. Okay, the aha moment here is

118
00:06:37.600 --> 00:06:42.480
<v Speaker 2>realizing your entire build definition now lives alongside your application code.

119
00:06:42.720 --> 00:06:47.600
<v Speaker 2>It's version auditible, collaborative right in your repo. This approach

120
00:06:47.680 --> 00:06:50.839
<v Speaker 2>defines your pipeline in a dedicated script file usually called

121
00:06:50.839 --> 00:06:53.680
<v Speaker 2>the Jenkins file, which you commit directly into get or

122
00:06:53.720 --> 00:06:56.000
<v Speaker 2>whatever you use. And the benefits there are immense. Yeah,

123
00:06:56.040 --> 00:06:58.839
<v Speaker 2>pipeline itself is versioned just like your app code. It's

124
00:06:58.879 --> 00:07:02.800
<v Speaker 2>way easier to maintain, track changes, recover from disasters. It

125
00:07:02.920 --> 00:07:07.680
<v Speaker 2>transforms this fragile hidden process into a transparent, robust blueprint.

126
00:07:07.879 --> 00:07:10.360
<v Speaker 2>Everyone on the team can see it, understand it, contribute

127
00:07:10.399 --> 00:07:11.879
<v Speaker 2>to it. It's a huge leap.

128
00:07:12.120 --> 00:07:15.720
<v Speaker 1>So pipeline as code that's the big game changer. Now

129
00:07:15.759 --> 00:07:19.920
<v Speaker 1>within that idea, what are the different flavors of pipelines

130
00:07:19.920 --> 00:07:22.800
<v Speaker 1>we can actually create in Jenkins? When would you pick

131
00:07:22.839 --> 00:07:23.560
<v Speaker 1>one over the other?

132
00:07:23.879 --> 00:07:28.279
<v Speaker 2>Good question. Within pipeline as code, Jenkins primarily offers two

133
00:07:28.319 --> 00:07:33.680
<v Speaker 2>main types, scripted and declarative. Okay, the scripted pipeline uses

134
00:07:33.720 --> 00:07:40.000
<v Speaker 2>Groovy script. It's incredibly powerful for really complex logic, dynamic flows,

135
00:07:40.120 --> 00:07:42.639
<v Speaker 2>or integrating you bespoke stuff.

136
00:07:42.680 --> 00:07:43.839
<v Speaker 1>But there's always a butt.

137
00:07:43.959 --> 00:07:46.439
<v Speaker 2>But yeah, that power comes with steeper learning curve. You

138
00:07:46.519 --> 00:07:50.279
<v Speaker 2>need decent Groovy programming skills, so it's often ideal for

139
00:07:50.319 --> 00:07:54.160
<v Speaker 2>seasoned automation engineers tackling really intricate problems.

140
00:07:54.279 --> 00:07:56.920
<v Speaker 1>Okay, so that's scripted. What about declarative?

141
00:07:57.120 --> 00:07:59.959
<v Speaker 2>Declarative pipeline is the more recent approach. It was designed

142
00:08:00.000 --> 00:08:02.519
<v Speaker 2>and specifically with ease of use and readability right at

143
00:08:02.560 --> 00:08:02.839
<v Speaker 2>the core.

144
00:08:02.959 --> 00:08:03.639
<v Speaker 1>Ah nice.

145
00:08:03.680 --> 00:08:06.759
<v Speaker 2>It follows a fixed structured format using a domain specific

146
00:08:06.879 --> 00:08:10.639
<v Speaker 2>language at DSL. It's fantastic for most common CICD scenarios

147
00:08:10.680 --> 00:08:13.120
<v Speaker 2>because it's much clearer about what the pipeline should do,

148
00:08:13.519 --> 00:08:15.519
<v Speaker 2>hiding some of the groovy complexities.

149
00:08:15.160 --> 00:08:16.000
<v Speaker 1>Here to get started with.

150
00:08:16.279 --> 00:08:19.920
<v Speaker 2>Definitely excellent for onboarding new team members, and it promotes

151
00:08:19.959 --> 00:08:22.040
<v Speaker 2>consistency across different projects.

152
00:08:22.240 --> 00:08:24.560
<v Speaker 1>Now, I've also heard people talk about Blue Ocean. Is

153
00:08:24.560 --> 00:08:26.759
<v Speaker 1>that another pipeline type or something else?

154
00:08:26.959 --> 00:08:31.000
<v Speaker 2>Great question. Blue Ocean isn't a pipeline type itself. It's

155
00:08:31.040 --> 00:08:34.600
<v Speaker 2>more of an enhanced user experience layer for Jenkins, like

156
00:08:34.639 --> 00:08:39.519
<v Speaker 2>a better UI, exactly specifically designed to make creating, visualizing,

157
00:08:39.600 --> 00:08:43.600
<v Speaker 2>and interacting with declarative pipelines incredibly intuitive. Think of it

158
00:08:43.600 --> 00:08:47.159
<v Speaker 2>as a modern visual editor. You can often select components

159
00:08:47.279 --> 00:08:50.039
<v Speaker 2>steps and it helps generate the declarative script for.

160
00:08:50.039 --> 00:08:52.600
<v Speaker 1>You, and visualization is key there hugely.

161
00:08:52.799 --> 00:08:56.720
<v Speaker 2>It provides really clear stage wise logs and these nice

162
00:08:56.840 --> 00:09:01.559
<v Speaker 2>graphical representations of your pipeline's progress. That's invaluable for quickly

163
00:09:01.559 --> 00:09:05.240
<v Speaker 2>spotting bottlenecks or failures and complex flows. It just makes

164
00:09:05.240 --> 00:09:06.840
<v Speaker 2>the whole pipeline much more approachable.

165
00:09:07.120 --> 00:09:09.759
<v Speaker 1>So we've got declarative pipelines, which are already a huge

166
00:09:09.759 --> 00:09:13.559
<v Speaker 1>step up in clarity, but for teams wanting even more readability,

167
00:09:13.759 --> 00:09:16.720
<v Speaker 1>maybe a shallower learning curve, there's this other evolution. Right

168
00:09:16.759 --> 00:09:19.039
<v Speaker 1>this pipeline as YAML, Where does that fit in?

169
00:09:19.320 --> 00:09:23.600
<v Speaker 2>Right pipeline as YAML basically takes that declarative approach and

170
00:09:23.679 --> 00:09:26.799
<v Speaker 2>wraps it in an even cleaner, more human readable syntax.

171
00:09:27.080 --> 00:09:28.279
<v Speaker 1>Yamo's pretty common now.

172
00:09:28.399 --> 00:09:31.279
<v Speaker 2>It is. It uses a specialized plug in that takes

173
00:09:31.320 --> 00:09:35.360
<v Speaker 2>your intuitive YAML script and actually converts it into a

174
00:09:35.360 --> 00:09:37.960
<v Speaker 2>declarative pipeline behind the scenes during execution.

175
00:09:38.320 --> 00:09:38.919
<v Speaker 1>Ah.

176
00:09:38.960 --> 00:09:42.120
<v Speaker 2>So it offers this incredibly simplified, structured way to define

177
00:09:42.120 --> 00:09:45.440
<v Speaker 2>your pipelines, makes them super accessible, especially if your team

178
00:09:45.559 --> 00:09:48.960
<v Speaker 2>already uses YAML for other configs like Kubernetes or something.

179
00:09:49.039 --> 00:09:52.960
<v Speaker 1>So this whole evolution means more robust, easier to manage

180
00:09:53.000 --> 00:09:54.639
<v Speaker 1>automation for everyone.

181
00:09:54.279 --> 00:09:57.399
<v Speaker 2>Really exactly, no matter your skill level. There's a way

182
00:09:57.399 --> 00:10:00.879
<v Speaker 2>to leverage this power effectively if we connect this back

183
00:10:00.879 --> 00:10:04.399
<v Speaker 2>to the bigger picture, that Yammel pipeline structure. It gives

184
00:10:04.440 --> 00:10:07.879
<v Speaker 2>you this beautifully clear, organized way to define your entire

185
00:10:07.919 --> 00:10:13.039
<v Speaker 2>application life cycle, makes it inherently understandable, auditible, and scalable.

186
00:10:13.360 --> 00:10:15.120
<v Speaker 2>Should we dig into the core components?

187
00:10:15.240 --> 00:10:17.759
<v Speaker 1>Yes, definitely. This is where we get into the nuts

188
00:10:17.759 --> 00:10:20.799
<v Speaker 1>and bolts. How does a YAMAL pipeline actually start? And

189
00:10:20.879 --> 00:10:23.360
<v Speaker 1>what's that fundamental structure giving us all the clarity?

190
00:10:23.639 --> 00:10:26.480
<v Speaker 2>Okay, so at its route, every YAMML pipeline starts with

191
00:10:26.519 --> 00:10:29.919
<v Speaker 2>the pipeline block that encapsulates everything, right, And one of

192
00:10:29.960 --> 00:10:32.759
<v Speaker 2>the very first things you'll define inside that is the agent.

193
00:10:33.320 --> 00:10:35.960
<v Speaker 2>This tells Jenkins where your pipeline, or even just a

194
00:10:36.000 --> 00:10:38.759
<v Speaker 2>specific stage within it is going to run.

195
00:10:38.879 --> 00:10:42.120
<v Speaker 1>Okay, and this ties into that controller agent architecture.

196
00:10:41.600 --> 00:10:44.879
<v Speaker 2>You mentioned decisely. It's crucial for how Jenkins works. You

197
00:10:44.919 --> 00:10:48.000
<v Speaker 2>have a central Jenkins controller that delegates tasks out to

198
00:10:48.080 --> 00:10:49.399
<v Speaker 2>distributed agents.

199
00:10:49.320 --> 00:10:52.120
<v Speaker 1>So Jenkins itself isn't doing all the heavy lifting. It's

200
00:10:52.320 --> 00:10:53.480
<v Speaker 1>farming the workout.

201
00:10:53.639 --> 00:10:53.840
<v Speaker 2>Yeah.

202
00:10:53.919 --> 00:10:56.759
<v Speaker 1>That seems way better than one giant build server.

203
00:10:57.039 --> 00:11:03.120
<v Speaker 2>It's fundamental for scalability, fault tolerance, and environment consistency. Yeah, absolutely.

204
00:11:03.720 --> 00:11:07.720
<v Speaker 2>These agents can be you know, physical machines, VMS, Docker containers,

205
00:11:07.720 --> 00:11:09.200
<v Speaker 2>cloud instances.

206
00:11:08.759 --> 00:11:09.480
<v Speaker 1>Lots of options.

207
00:11:09.559 --> 00:11:13.039
<v Speaker 2>Yeah. This allows for parallel execution of stages, load balancing

208
00:11:13.039 --> 00:11:17.440
<v Speaker 2>across your resources, and ensuring tasks run in dedicated, consistent environments.

209
00:11:17.679 --> 00:11:20.960
<v Speaker 2>You can specify agent any to let Jenkins.

210
00:11:20.559 --> 00:11:22.559
<v Speaker 1>Pick one or be more specific right.

211
00:11:23.279 --> 00:11:25.440
<v Speaker 2>Use label to target a pool of agents with a

212
00:11:25.480 --> 00:11:30.080
<v Speaker 2>specific tag like Linux build farm or maybe Windows dot

213
00:11:30.159 --> 00:11:33.200
<v Speaker 2>net agents or even Docker or Docker file to run

214
00:11:33.240 --> 00:11:36.399
<v Speaker 2>stages right inside a container specified on the fly.

215
00:11:36.679 --> 00:11:39.679
<v Speaker 1>Wow, that's powerful for consistency. No more, it works on

216
00:11:39.720 --> 00:11:41.399
<v Speaker 1>my machine problems exactly.

217
00:11:41.399 --> 00:11:44.480
<v Speaker 2>That's a huge benefit guarantees consistent build environments.

218
00:11:44.519 --> 00:11:46.919
<v Speaker 1>Okay, that makes sense for where it runs. What about

219
00:11:46.960 --> 00:11:49.679
<v Speaker 1>the actual work being done? How's that organized? Logically?

220
00:11:49.960 --> 00:11:52.879
<v Speaker 2>That's where stages come in. Stages are logical blocks that

221
00:11:53.000 --> 00:11:56.399
<v Speaker 2>group related steps like milestones. Kind of think of a

222
00:11:56.440 --> 00:11:59.799
<v Speaker 2>stage as a major phase like static, code analysis, build

223
00:12:00.240 --> 00:12:03.279
<v Speaker 2>or deploy to staging. It provides clear checkpoints, makes it

224
00:12:03.320 --> 00:12:04.840
<v Speaker 2>easy to see where a pipeline failed.

225
00:12:04.919 --> 00:12:05.919
<v Speaker 1>Can they get complex?

226
00:12:06.120 --> 00:12:08.960
<v Speaker 2>They can for more complex workflows. You can even have

227
00:12:09.159 --> 00:12:12.559
<v Speaker 2>nested stages or run stages in parallel, like running unit

228
00:12:12.639 --> 00:12:15.159
<v Speaker 2>tests and integration tests at the same time to speed

229
00:12:15.200 --> 00:12:15.639
<v Speaker 2>things up.

230
00:12:15.759 --> 00:12:18.600
<v Speaker 1>Okay, And the steps are the actual individual commands inside

231
00:12:18.639 --> 00:12:19.879
<v Speaker 1>those stages exactly.

232
00:12:20.080 --> 00:12:23.440
<v Speaker 2>Steps are the individual tasks things like executing a bat

233
00:12:23.480 --> 00:12:27.000
<v Speaker 2>command for Windows or an all shell command for Linux macOS.

234
00:12:27.080 --> 00:12:30.639
<v Speaker 1>Can you define tools too, like specific Java versions?

235
00:12:30.759 --> 00:12:34.240
<v Speaker 2>Yep, that's the tools directive. It's Jenkins locate and use

236
00:12:34.279 --> 00:12:40.480
<v Speaker 2>specific versions of software radal maven, a particular JDK node version, whatever. Yeah,

237
00:12:40.519 --> 00:12:44.399
<v Speaker 2>makes them available during pipeline execution without hard coding paths

238
00:12:45.080 --> 00:12:46.519
<v Speaker 2>huge for reproducibility.

239
00:12:46.600 --> 00:12:49.440
<v Speaker 1>What about flexibility? Don't want to hard code everything? Like

240
00:12:49.519 --> 00:12:52.000
<v Speaker 1>which environment to deploy to? How do you handle that?

241
00:12:52.240 --> 00:12:55.840
<v Speaker 2>Right? That's crucial for that. You use parameters. These let

242
00:12:55.960 --> 00:12:58.519
<v Speaker 2>users provide values when they trigger the pipeline.

243
00:12:58.600 --> 00:13:00.559
<v Speaker 1>Ah like run time options exactly.

244
00:13:00.879 --> 00:13:04.519
<v Speaker 2>Specify a target environment like staging or production, maybe a

245
00:13:04.639 --> 00:13:07.240
<v Speaker 2>specific branch name or build version. You can give them

246
00:13:07.240 --> 00:13:10.799
<v Speaker 2>default values, helpful descriptions. It stops the hard coding. It

247
00:13:10.799 --> 00:13:13.320
<v Speaker 2>makes the pipeline way more flexible and reusable.

248
00:13:13.399 --> 00:13:16.559
<v Speaker 1>Okay. Now, I've definitely seen sections that run after a

249
00:13:16.600 --> 00:13:20.279
<v Speaker 1>stage or even the whole pipeline finishes, like for notifications

250
00:13:20.399 --> 00:13:21.080
<v Speaker 1>or cleanup.

251
00:13:21.200 --> 00:13:24.039
<v Speaker 2>What are those that's the post section, and it's incredibly

252
00:13:24.080 --> 00:13:26.600
<v Speaker 2>powerful for reliability in just knowing what happened.

253
00:13:26.639 --> 00:13:27.279
<v Speaker 1>How does it work?

254
00:13:27.440 --> 00:13:30.240
<v Speaker 2>It defines steps that execute based on the outcome. You

255
00:13:30.240 --> 00:13:33.840
<v Speaker 2>can have steps run always or only on success, failure,

256
00:13:34.000 --> 00:13:36.519
<v Speaker 2>unstable or there's cleanup.

257
00:13:36.159 --> 00:13:39.120
<v Speaker 1>Too, so sending a Slack message on failure perfect.

258
00:13:38.759 --> 00:13:42.799
<v Speaker 2>Example, or archiving build artifacts on success, maybe cleaning up

259
00:13:42.840 --> 00:13:47.759
<v Speaker 2>temporary files always. It's essential for notifications, evidence gathering, cleanup,

260
00:13:48.360 --> 00:13:50.399
<v Speaker 2>making sure you know the outcome and how what you need.

261
00:13:50.440 --> 00:13:53.879
<v Speaker 1>Got it And are there any overall pipeline settings that

262
00:13:53.919 --> 00:13:55.519
<v Speaker 1>apply globally yep.

263
00:13:55.399 --> 00:13:58.919
<v Speaker 2>Those go under options. This block defines pipeline wide settings,

264
00:13:58.960 --> 00:14:01.960
<v Speaker 2>things like skip to check out if you handle checkout manually,

265
00:14:02.440 --> 00:14:04.879
<v Speaker 2>setting a time out for the entire run. Oh timeouts

266
00:14:04.919 --> 00:14:08.279
<v Speaker 2>are useful very or adding time stamps to console output

267
00:14:08.320 --> 00:14:10.720
<v Speaker 2>for clarity, or build discarder to manage how many old

268
00:14:10.720 --> 00:14:13.919
<v Speaker 2>build records Jenkins keeps helps keep things tidy.

269
00:14:13.799 --> 00:14:15.840
<v Speaker 1>And the yamal plug in itself helps you get it right.

270
00:14:15.960 --> 00:14:19.480
<v Speaker 2>It does the pipeline has Yamel incubated plugin has built

271
00:14:19.480 --> 00:14:23.000
<v Speaker 2>in validation. If your YAML syntax is off, Jenkins will

272
00:14:23.039 --> 00:14:26.000
<v Speaker 2>usually tell you right away and help pinpoint the air mix,

273
00:14:26.039 --> 00:14:27.279
<v Speaker 2>writing the pipeline much smoother.

274
00:14:27.600 --> 00:14:31.919
<v Speaker 1>So understanding all these bits agent stages, steps, parameters, post

275
00:14:32.000 --> 00:14:33.399
<v Speaker 1>options that gives you real.

276
00:14:33.200 --> 00:14:36.600
<v Speaker 2>Control, precise control exactly, and it lets you write clear,

277
00:14:36.759 --> 00:14:40.919
<v Speaker 2>readable automation scripts that truly map to your applications life cycle.

278
00:14:41.200 --> 00:14:43.480
<v Speaker 1>So what does this actually look like for the different

279
00:14:43.559 --> 00:14:46.000
<v Speaker 1>kinds of apps people are building? You know, let's connect

280
00:14:46.000 --> 00:14:51.519
<v Speaker 1>this Yamel power to mobile web hybrid and maybe tackle

281
00:14:51.600 --> 00:14:53.360
<v Speaker 1>some real world headaches people run into.

282
00:14:53.559 --> 00:14:57.080
<v Speaker 2>Yeah, this is where the versatility really shines. We can

283
00:14:57.120 --> 00:15:02.200
<v Speaker 2>define these robust, multi stage ce ICD pipelines Inyamel for

284
00:15:02.279 --> 00:15:05.879
<v Speaker 2>a huge array of applications. And what you'll see, interestingly,

285
00:15:06.200 --> 00:15:07.960
<v Speaker 2>are these recurring patterns.

286
00:15:07.559 --> 00:15:09.960
<v Speaker 1>Common themes across different textacks.

287
00:15:10.080 --> 00:15:13.320
<v Speaker 2>Definitely, Even though the specific commands change, the stages often

288
00:15:13.360 --> 00:15:14.240
<v Speaker 2>look very similar.

289
00:15:14.279 --> 00:15:16.440
<v Speaker 1>Okay, what are some of those common stages you'd almost

290
00:15:16.480 --> 00:15:19.159
<v Speaker 1>always see and what's the core problem they're solving for us?

291
00:15:19.320 --> 00:15:23.679
<v Speaker 2>Well? Recurring stages often include static code analysis, SEA or linting.

292
00:15:23.600 --> 00:15:25.440
<v Speaker 1>Checking the code quality first.

293
00:15:25.440 --> 00:15:29.120
<v Speaker 2>Exactly, using tools like flutter Analyze or Android lint or

294
00:15:29.159 --> 00:15:33.080
<v Speaker 2>Sonar koub to scan your code for bugs, vulnerabilities, code

295
00:15:33.120 --> 00:15:35.679
<v Speaker 2>smells before you even try to build or run anything

296
00:15:35.799 --> 00:15:39.759
<v Speaker 2>shifting left. That's the key AHA moments. Shifting security and

297
00:15:39.840 --> 00:15:43.480
<v Speaker 2>quality left. Catching issues before they even get compiled dramatically

298
00:15:43.480 --> 00:15:47.320
<v Speaker 2>reduces downstream pain. Then you'll nearly always see unit, test

299
00:15:47.360 --> 00:15:48.639
<v Speaker 2>execution and code coverage.

300
00:15:48.759 --> 00:15:50.120
<v Speaker 1>Running the tests right.

301
00:15:50.320 --> 00:15:53.919
<v Speaker 2>Commands like Flutter, test machine, maybe NPM run test GRADELU,

302
00:15:54.000 --> 00:15:56.759
<v Speaker 2>dot bat, che coco, test report to bug, integrating with

303
00:15:56.840 --> 00:16:00.120
<v Speaker 2>plugins like JUnit for reports, or publish coverage for tools

304
00:16:00.159 --> 00:16:03.240
<v Speaker 2>like Jacco or Cobratura. It's not just about pass fail.

305
00:16:03.559 --> 00:16:06.919
<v Speaker 2>It's validating logic and making sure you have good test coverage.

306
00:16:07.000 --> 00:16:09.879
<v Speaker 1>So check the code quality, check the functionality. Then what

307
00:16:10.039 --> 00:16:13.320
<v Speaker 1>then comes the build stage itself, creating the actual deployable.

308
00:16:12.840 --> 00:16:15.120
<v Speaker 2>Package ePK, the web bungal.

309
00:16:14.799 --> 00:16:18.440
<v Speaker 1>Precisely Flutter build ac or Ionic Cordova, build android prod

310
00:16:18.480 --> 00:16:21.480
<v Speaker 1>for hybrid gray lu, dot bat assemble for native Android,

311
00:16:21.559 --> 00:16:24.600
<v Speaker 1>NPM run run build dot pro dot nn for a

312
00:16:24.679 --> 00:16:26.720
<v Speaker 1>web app whatever fits your stack, And.

313
00:16:26.679 --> 00:16:29.559
<v Speaker 2>You need to save that build artifact right, absolutely crucial.

314
00:16:29.720 --> 00:16:33.639
<v Speaker 2>That's the artifact archiving stage, using steps like archive artifacts,

315
00:16:33.679 --> 00:16:36.440
<v Speaker 2>dot app k or maybe zip dear debt, disk browser,

316
00:16:36.519 --> 00:16:39.600
<v Speaker 2>zip file, dot browser, dot zip to save those outputs.

317
00:16:39.919 --> 00:16:42.840
<v Speaker 2>You need them for deployment, for testing, for history.

318
00:16:42.600 --> 00:16:44.200
<v Speaker 1>And finally getting it out there.

319
00:16:44.360 --> 00:16:48.200
<v Speaker 2>Finally distribution or deployment sending the app where it needs

320
00:16:48.240 --> 00:16:51.279
<v Speaker 2>to go, maybe using an app Center step for mobile distribution,

321
00:16:51.440 --> 00:16:54.799
<v Speaker 2>or doing a Docker build and Docker run for web apps,

322
00:16:54.840 --> 00:16:56.120
<v Speaker 2>maybe deploying to Kubernetes.

323
00:16:56.159 --> 00:16:59.399
<v Speaker 1>Okay, those patterns are super clear, but you know, real

324
00:16:59.399 --> 00:17:02.039
<v Speaker 1>world development it isn't always that smooth. Are there specific

325
00:17:02.159 --> 00:17:06.519
<v Speaker 1>examples or common challenges for different platforms that people should

326
00:17:06.519 --> 00:17:08.359
<v Speaker 1>watch out for? How do yammel pipelines?

327
00:17:08.359 --> 00:17:11.640
<v Speaker 2>Hope theyre Oh? Definitely. For Flutter apps, for instance, a

328
00:17:11.720 --> 00:17:14.240
<v Speaker 2>common first step is running Flutter doctor just to make

329
00:17:14.279 --> 00:17:17.640
<v Speaker 2>sure the build agent environment is sane. Good check. Yeah.

330
00:17:17.880 --> 00:17:21.039
<v Speaker 2>And a practical tip and aha moment really yeah is

331
00:17:21.119 --> 00:17:24.240
<v Speaker 2>using a catcher block around your sea stage your linting

332
00:17:24.559 --> 00:17:27.440
<v Speaker 2>What is that? It prevents the entire pipeline from failing

333
00:17:27.960 --> 00:17:30.720
<v Speaker 2>just because of minor linting warnings. You can let the

334
00:17:30.720 --> 00:17:34.319
<v Speaker 2>bill proceed, but mark the stage is unstable. That's often

335
00:17:34.319 --> 00:17:36.960
<v Speaker 2>better for developer productivity than just feeling everything for a

336
00:17:37.000 --> 00:17:37.640
<v Speaker 2>style issue.

337
00:17:37.880 --> 00:17:41.559
<v Speaker 1>Ah smart distinction. Okay. What about hybrid apps like Ionic,

338
00:17:41.599 --> 00:17:45.319
<v Speaker 1>Cordova or Angular, They often have their own ecosystem.

339
00:17:44.839 --> 00:17:49.240
<v Speaker 2>Quirks for sure. With Ionic, Cordovanngular, you'll typically configure Karma

340
00:17:49.240 --> 00:17:54.000
<v Speaker 2>dot com dot js very explicitly for testing, specifying plugins

341
00:17:54.039 --> 00:17:58.359
<v Speaker 2>for j unit reports, coprature coverage reports, enabling Edla's browser

342
00:17:58.440 --> 00:18:00.279
<v Speaker 2>so your CI tests don't eat a.

343
00:18:00.240 --> 00:18:03.319
<v Speaker 1>Real screen right needs to run automated exactly, and.

344
00:18:03.279 --> 00:18:06.160
<v Speaker 2>Your package dot Jason will define clear scripts for lint

345
00:18:06.359 --> 00:18:09.640
<v Speaker 2>test build. A common pain point listeners phase is with

346
00:18:09.759 --> 00:18:13.880
<v Speaker 2>MPM resolving security vulnerabilities using NPM auditfix, or maybe hitting

347
00:18:13.880 --> 00:18:17.279
<v Speaker 2>those tricky get project metadata errors which often mean needs

348
00:18:17.319 --> 00:18:22.079
<v Speaker 2>adjusting versions like the at Angular DevKit build Angular package.

349
00:18:22.319 --> 00:18:25.680
<v Speaker 2>Your pipeline definition needs to handle that dependency management precisely.

350
00:18:25.880 --> 00:18:29.000
<v Speaker 1>Good point, and for a native Android that often involves

351
00:18:29.039 --> 00:18:31.079
<v Speaker 1>its own specific tool chain steps.

352
00:18:31.400 --> 00:18:35.599
<v Speaker 2>Definitely, for Android, you can integrate lint analysis deeply using

353
00:18:35.680 --> 00:18:40.480
<v Speaker 2>gradlud dot bat, clean, lint Jockcoco plugins are pretty standard

354
00:18:40.480 --> 00:18:43.400
<v Speaker 2>for code coverage reports, and a really critical step is

355
00:18:43.480 --> 00:18:46.680
<v Speaker 2>using jar signer dot exe or the equivalent for actually

356
00:18:46.720 --> 00:18:49.720
<v Speaker 2>signing your apk's before you distribute them to Google Play

357
00:18:49.799 --> 00:18:52.759
<v Speaker 2>or app Center or wherever. Can't skip the signing no way,

358
00:18:53.279 --> 00:18:56.599
<v Speaker 2>So these specific examples they really show off the versatility

359
00:18:56.680 --> 00:18:59.839
<v Speaker 2>of Jenkins AMOL pipelines. They give you concrete, actionable insights

360
00:18:59.839 --> 00:19:03.400
<v Speaker 2>for different environments and knowing about these common issues and solutions.

361
00:19:03.599 --> 00:19:07.079
<v Speaker 2>That's practical wisdom for navigating real world projects, which actually

362
00:19:07.119 --> 00:19:09.160
<v Speaker 2>raises a really important question. How do we not just

363
00:19:09.240 --> 00:19:12.359
<v Speaker 2>build these pipelines, get them working initially, but build them

364
00:19:12.400 --> 00:19:16.319
<v Speaker 2>well and keep them secure, scalable, reliable over the long haul.

365
00:19:16.680 --> 00:19:18.759
<v Speaker 2>That's where the true value proposition lies.

366
00:19:18.759 --> 00:19:20.920
<v Speaker 1>I think that is the real challenge, isn't it going

367
00:19:20.960 --> 00:19:24.519
<v Speaker 1>beyond just it works, to making it robust, secure, something

368
00:19:24.519 --> 00:19:27.440
<v Speaker 1>you can rely on for years. Let's start with installation

369
00:19:27.519 --> 00:19:30.799
<v Speaker 1>and scalability. How do you set up Jenkins itself for

370
00:19:30.839 --> 00:19:33.720
<v Speaker 1>that long haul, especially now with cloud and containers.

371
00:19:34.000 --> 00:19:38.240
<v Speaker 2>Yeah, A critical best practice for easy installation, consistency and

372
00:19:38.359 --> 00:19:43.519
<v Speaker 2>fault tolerance is definitely deploying Jenkins using doctor containers. Leveraging

373
00:19:43.559 --> 00:19:46.480
<v Speaker 2>something like the official Jenkins SI Blue Ocean image makes

374
00:19:46.519 --> 00:19:49.160
<v Speaker 2>set up much simpler and for bigger scale, for even

375
00:19:49.240 --> 00:19:54.279
<v Speaker 2>greater scalability, resilience, dynamic resource allocation, deploying Jenkins on a

376
00:19:54.319 --> 00:19:58.200
<v Speaker 2>cloud Kubernetes service like Azure, Akas or Amazon eks is

377
00:19:58.279 --> 00:19:59.119
<v Speaker 2>highly recommended.

378
00:19:59.240 --> 00:20:01.319
<v Speaker 1>Why Kupernetti's specifically.

379
00:20:00.839 --> 00:20:03.799
<v Speaker 2>Well gives you self healing, easy scaling of the Jenkins

380
00:20:03.799 --> 00:20:07.680
<v Speaker 2>controller itself and using docro file agents within Kubernetes pods

381
00:20:08.039 --> 00:20:11.640
<v Speaker 2>that massively simplifies environment set up for your builds, makes

382
00:20:11.680 --> 00:20:13.440
<v Speaker 2>it incredibly consistent for developers.

383
00:20:13.480 --> 00:20:15.839
<v Speaker 1>And this all ties back to that controller agent architecture

384
00:20:15.839 --> 00:20:17.920
<v Speaker 1>again right, using distributed power.

385
00:20:18.079 --> 00:20:21.160
<v Speaker 2>Absolutely, you want to really lean into that distributed model.

386
00:20:21.759 --> 00:20:24.680
<v Speaker 2>Use multiple agents, whether they're dynamic doc or containers spun

387
00:20:24.759 --> 00:20:28.519
<v Speaker 2>up on demand or Kubernetes pods. This allows for parallel execution,

388
00:20:28.920 --> 00:20:30.680
<v Speaker 2>efficient load balancing, and.

389
00:20:30.640 --> 00:20:32.200
<v Speaker 1>You use labels to manage them.

390
00:20:32.319 --> 00:20:35.799
<v Speaker 2>Exactly. You assign labels to these agents maybe no JS

391
00:20:35.839 --> 00:20:39.200
<v Speaker 2>agent and roid build VM stroop you enabled, and your

392
00:20:39.200 --> 00:20:43.920
<v Speaker 2>pipeline then intelligently targets the right pool, optimizes resource use,

393
00:20:44.240 --> 00:20:46.920
<v Speaker 2>insures builds run on the correctly configured environment.

394
00:20:47.039 --> 00:20:52.680
<v Speaker 1>Okay, infrastructure covered. Security paramount obviously, especially for something controlling

395
00:20:52.720 --> 00:20:56.160
<v Speaker 1>your whole delivery process? What are the non negotiables for

396
00:20:56.319 --> 00:20:58.680
<v Speaker 1>locking down Jenkins and the pipelines.

397
00:20:58.799 --> 00:21:01.160
<v Speaker 2>Security has got to be a primary design thought, not

398
00:21:01.240 --> 00:21:06.119
<v Speaker 2>tacked on later. You absolutely need robust authentication and authorization.

399
00:21:05.680 --> 00:21:08.000
<v Speaker 1>Like integrating with existing systems.

400
00:21:07.759 --> 00:21:12.359
<v Speaker 2>Ideally Yeah, integrating with enterprise identity providers like Azure, ADLDPP,

401
00:21:12.960 --> 00:21:16.480
<v Speaker 2>or maybe just using jenkin'sone user database for authentication if needed,

402
00:21:16.960 --> 00:21:20.200
<v Speaker 2>and then for authorization. Who can do what? Implementing matrix

403
00:21:20.240 --> 00:21:23.319
<v Speaker 2>based or project based security is crucial for fine grained

404
00:21:23.359 --> 00:21:24.039
<v Speaker 2>access control.

405
00:21:24.200 --> 00:21:26.279
<v Speaker 1>So not everyone can trigger every pipeline.

406
00:21:26.400 --> 00:21:30.960
<v Speaker 2>Definitely not. This ensures only authorized users or teams can trigger,

407
00:21:31.119 --> 00:21:35.680
<v Speaker 2>configure or even see specific jobs or folders. Project based security,

408
00:21:35.759 --> 00:21:39.000
<v Speaker 2>especially lets you set permissions at a very granular level

409
00:21:39.039 --> 00:21:43.039
<v Speaker 2>for specific pipelines, really reduces the risk of unauthorized access

410
00:21:43.119 --> 00:21:44.119
<v Speaker 2>or accidental changes.

411
00:21:44.240 --> 00:21:47.440
<v Speaker 1>Okay, it makes sense. And beyond setup insecurity, what about

412
00:21:47.519 --> 00:21:51.799
<v Speaker 1>keeping the system itself reliable handling the unexpected. Nobody wants

413
00:21:51.799 --> 00:21:54.680
<v Speaker 1>their CICD system going down right before.

414
00:21:54.480 --> 00:21:58.880
<v Speaker 2>Release, no kidding. Critical for reliability, robust back up and

415
00:21:58.920 --> 00:22:03.359
<v Speaker 2>restore procedures. This is absolutely non negotiable for disaster recovery.

416
00:22:03.400 --> 00:22:04.279
<v Speaker 1>What are the options there?

417
00:22:04.319 --> 00:22:06.960
<v Speaker 2>Well, you can manually back up the jenkinsom directory, but

418
00:22:07.000 --> 00:22:10.519
<v Speaker 2>that's aero prone. Using plugins like thin Backup for scheduled,

419
00:22:10.519 --> 00:22:12.559
<v Speaker 2>full or incremental backups is much better.

420
00:22:12.640 --> 00:22:14.160
<v Speaker 1>And the aha moment here.

421
00:22:14.200 --> 00:22:17.720
<v Speaker 2>Isn't just having a backup it's regularly simulating failures and

422
00:22:17.759 --> 00:22:21.640
<v Speaker 2>practicing your restoration process make sure it actually works flawlessly

423
00:22:21.680 --> 00:22:22.960
<v Speaker 2>when you desperately need it.

424
00:22:23.000 --> 00:22:25.279
<v Speaker 1>Practice makes perfect even for disaster.

425
00:22:24.960 --> 00:22:30.680
<v Speaker 2>Recovery, especially for disaster recovery, and also proactively monitoring Jenkins

426
00:22:30.799 --> 00:22:35.119
<v Speaker 2>dashboards for notifications, careful managing plug in updates and compatibility.

427
00:22:35.680 --> 00:22:39.119
<v Speaker 2>That helps prevent breaking changes and keeps the system stable

428
00:22:39.240 --> 00:22:39.720
<v Speaker 2>day to day.

429
00:22:39.839 --> 00:22:43.000
<v Speaker 1>Okay, that covers the Jenkins system itself. What about designing

430
00:22:43.000 --> 00:22:46.480
<v Speaker 1>the pipelines, any best practices there to make them more maintainable,

431
00:22:46.599 --> 00:22:47.400
<v Speaker 1>more effective?

432
00:22:47.680 --> 00:22:52.279
<v Speaker 2>Yeah, definitely for pipeline design itself. Really embrace tools like

433
00:22:52.480 --> 00:22:57.079
<v Speaker 2>Blue Ocean and the Stippet Generator. They significantly accelerate creating

434
00:22:57.119 --> 00:23:01.839
<v Speaker 2>declarative Jenkins files, making scriptwriting easier and less error prone.

435
00:23:01.640 --> 00:23:04.119
<v Speaker 1>Less manual typing of boilerplate exactly.

436
00:23:04.279 --> 00:23:07.960
<v Speaker 2>Another crucial tip try to combine related commands within single

437
00:23:07.960 --> 00:23:11.079
<v Speaker 2>steps where it makes sense, or use external script files.

438
00:23:11.519 --> 00:23:15.119
<v Speaker 2>Avoid breaking everything into tiny inefficient steps that just slow

439
00:23:15.160 --> 00:23:16.839
<v Speaker 2>down your bills with overhead.

440
00:23:16.480 --> 00:23:18.319
<v Speaker 1>And stick to declarative mostly generally.

441
00:23:18.400 --> 00:23:21.799
<v Speaker 2>Yes, a key recommendation is to avoid overly complex scripted

442
00:23:21.839 --> 00:23:26.240
<v Speaker 2>pipelines unless absolutely necessary. Declarative pipelines are usually far easier

443
00:23:26.279 --> 00:23:29.000
<v Speaker 2>to manage, understand, and hand over to new team members

444
00:23:29.079 --> 00:23:29.799
<v Speaker 2>down the line.

445
00:23:29.960 --> 00:23:34.759
<v Speaker 1>What about managing different branches like feature branches versus main Use.

446
00:23:34.680 --> 00:23:37.759
<v Speaker 2>Multi branch pipelines, they're designed for this, Combine them with

447
00:23:37.799 --> 00:23:41.960
<v Speaker 2>branch filters to manage different configurations per branch efficiently, ensuring

448
00:23:42.079 --> 00:23:44.240
<v Speaker 2>consistency across your development life cycle.

449
00:23:44.480 --> 00:23:47.240
<v Speaker 1>So using pipeline as code doesn't just automate, it can

450
00:23:47.240 --> 00:23:50.079
<v Speaker 1>actually improve quality itself. How do you build that? In?

451
00:23:50.240 --> 00:23:54.759
<v Speaker 2>Absolutely, you implement quality gates directly within your pipelines, meaning

452
00:23:55.039 --> 00:23:59.799
<v Speaker 2>meaning setting automated thresholds for critical metrics like require minimum

453
00:23:59.799 --> 00:24:03.400
<v Speaker 2>code coverage percentage, or maybe fail to build if static

454
00:24:03.400 --> 00:24:06.000
<v Speaker 2>analysis finds more than x critical errors.

455
00:24:06.160 --> 00:24:08.440
<v Speaker 1>Ah automated checks exactly.

456
00:24:08.839 --> 00:24:12.079
<v Speaker 2>This ensures quality standards are met at each stage before

457
00:24:12.119 --> 00:24:16.079
<v Speaker 2>code can progress further, prevents regressions, uphold your team's quality

458
00:24:16.079 --> 00:24:19.480
<v Speaker 2>standards automatically. All these best practices, they aren't just about

459
00:24:19.519 --> 00:24:22.680
<v Speaker 2>making life easier today. They ensure your investment in CICD

460
00:24:22.799 --> 00:24:26.759
<v Speaker 2>is robust, secure, sustainable, making your whole journey smoother.

461
00:24:27.160 --> 00:24:30.319
<v Speaker 1>This has been a truly fantastic deep dive. It's so

462
00:24:30.519 --> 00:24:34.599
<v Speaker 1>clear that Jenkins with YAML pipelines isn't just automating a

463
00:24:34.640 --> 00:24:38.759
<v Speaker 1>few tasks. It's really enabling this profound cultural and operational

464
00:24:38.839 --> 00:24:42.880
<v Speaker 1>shift in how we develop software, and that shift brings

465
00:24:43.000 --> 00:24:48.319
<v Speaker 1>real tangible benefits faster time to market, much higher quality software,

466
00:24:48.480 --> 00:24:53.039
<v Speaker 1>increased productivity for your teams, and genuinely better collaboration. It

467
00:24:53.079 --> 00:24:56.640
<v Speaker 1>really empowers you to catch issues early, streamline that entire

468
00:24:56.680 --> 00:25:00.559
<v Speaker 1>application life cycle from commit to deploy exactly, very first

469
00:25:00.559 --> 00:25:01.880
<v Speaker 1>commit to reliable deployment.

470
00:25:01.960 --> 00:25:04.559
<v Speaker 2>Yeah, we've covered a lot of ground today from understanding

471
00:25:04.559 --> 00:25:08.200
<v Speaker 2>that core DevOps mindset. The really interesting evolution of Jenkins

472
00:25:08.240 --> 00:25:12.119
<v Speaker 2>from UI clicks to pipeline is code to dissecting the

473
00:25:12.160 --> 00:25:16.960
<v Speaker 2>precise structure of Yamel pipelines, agents, stages, parameters, this crucial

474
00:25:17.000 --> 00:25:20.519
<v Speaker 2>post section. Then we brought it to life with those practical,

475
00:25:20.559 --> 00:25:23.440
<v Speaker 2>real world examples across mobile, hybrid.

476
00:25:23.359 --> 00:25:24.880
<v Speaker 1>Web, tackling those common issues.

477
00:25:24.960 --> 00:25:27.640
<v Speaker 2>Yeah, tackling common issues, offering actional solutions.

478
00:25:27.240 --> 00:25:29.720
<v Speaker 1>And crucially we wrapped it up with those essential best

479
00:25:29.759 --> 00:25:33.480
<v Speaker 1>practices making sure your Genkin setup isn't just working, but

480
00:25:33.519 --> 00:25:37.880
<v Speaker 1>it's scalable, secure, easy to maintain from Docker and Kubernetes

481
00:25:37.960 --> 00:25:42.480
<v Speaker 1>deployment to backup strategies and smart pipeline design. Hopefully you

482
00:25:42.599 --> 00:25:44.079
<v Speaker 1>now have a comprehensive picture.

483
00:25:44.640 --> 00:25:46.599
<v Speaker 2>So maybe the thought to leave folks with is this,

484
00:25:47.559 --> 00:25:52.440
<v Speaker 2>consider how automating your pipeline, truly making it code transforms it.

485
00:25:52.440 --> 00:25:55.920
<v Speaker 2>It stops being just a reactive, often brittle task and

486
00:25:56.000 --> 00:26:00.279
<v Speaker 2>becomes this living, evolving blueprint that continuously improves your tire

487
00:26:00.359 --> 00:26:01.200
<v Speaker 2>development journey.

488
00:26:01.279 --> 00:26:02.240
<v Speaker 1>That's powerful.

489
00:26:02.400 --> 00:26:05.039
<v Speaker 2>And then ask what other parts of your workflow, maybe

490
00:26:05.079 --> 00:26:08.640
<v Speaker 2>even beyond CICD, could really benefit from adopting this as

491
00:26:08.720 --> 00:26:14.000
<v Speaker 2>code approach, turning that manual effort into transparent, version controlled automation.

492
00:26:14.279 --> 00:26:18.079
<v Speaker 1>That's a fantastic provocative thought. Tend on thinking beyond the

493
00:26:18.079 --> 00:26:20.559
<v Speaker 1>pipeline itself. Well, thank you for joining us on this

494
00:26:20.640 --> 00:26:23.279
<v Speaker 1>deep dive. We really hope you found those aha moments

495
00:26:23.319 --> 00:26:25.799
<v Speaker 1>and are brooming with ideas to put this knowledge into action.

496
00:26:25.920 --> 00:26:26.480
<v Speaker 2>Well so too.

497
00:26:26.680 --> 00:26:29.960
<v Speaker 1>Until next time, keep innovating, keep learning, and keep building

498
00:26:29.960 --> 00:26:32.079
<v Speaker 1>those robust, beautiful pipelines