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9 = Running peer reviews inside eMagiz DevOps team =
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11 In this microlearning, we will take a look at peer reviews for eMagiz.
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13 Should you have any questions, please contact academy@emagiz.com.
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15 * Last update: April 22nd, 2021
16 * Required reading time: 8 minutes
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18 == 1. Prerequisites ==
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20 * Basic knowledge of the eMagiz platform
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22 == 2. Key concepts ==
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24 Peer reviews are defined as follows: A disciplined engineering practice for detecting and correcting defects in software artifacts and preventing their leakage into production. Its a well known and working concept with IT organization, and it can definetely applied in DevOps teams that have eMagiz as one of the technology pillars. In tbe context of eMagiz, peer reviews are done usually after the Create phase.
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26 <p align="center">[[image:intermediate-devops-perspectives-peerreview-1.png||]]</p>
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28 Key benefits of peer reviews
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30 * Improved quality of integrations
31 * Higher consistency
32 * Knowledge sharing
33 * Keeping standards for optimal maintenance
34 * Architecture challenge and verification
35 * Find alternative solutions
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38
39 == 3. Running peer reviews in eMagiz ==
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41 === 3.1 Considerations for reviewee ===
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43 Here are some things to keep in mind when presenting the work to peer review.
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45 * Quickly explain the story / task / background
46 * Quickly show the working result if applicable / practical
47 * Talk through the solution while showing the models / code
48 * Just trying to explain your work to someone else will help spot mistakes
49 * Don’t show every single detail but try to highlight the important parts and/or details you’re less sure about. This takes time and experience to get “right” and is different depending on the story, the reviewee, the reviewer, the project, etc.
50 * Always do a peer review, no exceptions. Making assumptions about the usefulness beforehand defeats the whole purpose.
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52 === 3.2 Considerations for reviewer ===
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54 Here are some things to keep in mind when peer reviewing the work .
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56 * Ask questions
57 * How does this work?
58 * Why did you decide to …?
59 * Did you think about …?
60 * Spot (incorrect) assumptions
61 * Check application of best practices – see next slide
62 * Modelling / coding patterns
63 * Naming conventions
64 * Errors / warnings
65 * Notice non-standard / unusual / abnormal things
66 * Make sure this is documented, mainly for future changes. Annotations are very useful here.
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68 === 3.3 Peer review items per ILM Phase ===
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70 * Capture
71 * 100% filled
72 * Connection method clear
73 * Authentication method clear
74 * Definitions loaded
75 * Sizing impact understood and valid
76 * Design
77 * Check solution architecture validity
78 * Design 100% filled and clear
79 * CDM Root entity mapped
80 * Set as mapped – avoid line mapping
81 * Use annotation where possible
82 * Proper flow and system settings
83 * Create
84 * Validate routing
85 * Generic error response flows
86 * Check naming conventions flows, properties and XSD
87 * Split messages in on-ramp – not later
88 * Deploy
89 * Check properties
90 * Avoid too many different flow versions – max. 2
91 * Remove test packages that are deployed
92 * Manage
93 * All alerts mapped to Customer Support
94 * All messages can be explained
95 * Avoid code mappings
96 * Enable default alerts
97 * Architecture
98 * Deploy connector close to the source/target system
99 * Ensure ACCP and PROD are exact copies
100 * Cloud over on-premise
101 * No hard-coded variable – use properties
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103 ===== Practice =====
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105 == 4. Assignment ==
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107 See how peer reviews are currently implemented within the projects on which you work to see if you can learn something from the information you have gathered via this microlearning.
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109 == 5. Key takeaways ==
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111 Peer reviews are instrumental in any DevOps team. Use the provided list as your team's peer review starting point and tune as you go along.
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115 == 6. Suggested Additional Readings ==
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117 You will find plenty background items available on the Internet.
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119 == 7. Silent demonstration video ==
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121 As this is a more theoretical microlearning we have no video for this.
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