Learning about Site Reliability Engineering with the #100daysofSRE Challenge

I will post something I have learned almost each and every day until the 100 days of the challenge ends. #SRE #100daysofSRE

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I am currently working as a Site Reliability Engineer in a company. There are very few resources that actually cover the topics and aspects of an SRE role. So, I devised a solution to add value by going through some aspects while learning more about it.

There are a lot of challenges like #100daysofcodes, #100daysofsecurity, and others. I really like this plan for two reasons: first, I will be obliged to complete the challenge; second, it will add some value to myself as well as to the community.

Since I want to avoid flooding Medium with this long challenge, I will keep publishing posts on my own blog and probably add the links here to the items on the list so that you can navigate the posts.

You can find the actual contents and links on this GitHub repository.

Probable Topics for the Challenge

1. Introduction to Site Reliability Engineering
2. History of SRE and its Evolution
3. SLAs, SLOs, and SLIs — understanding the metrics of reliability
4. Chaos engineering and the benefits of breaking things on purpose
5. Automation and its Role in SRE
6. Incident management and response for SRE
7. Effective communication during incidents
8. Root cause analysis and post-incident reviews
9. Monitoring and observability
10. Grafana vs Splunk for Monitoring and Observability
11. Logging and log analysis
12. Alerting and notification strategies
13. Capacity planning and management
14. Load testing and stress testing
15. Disaster recovery planning and testing
16. High availability and redundancy strategies
17. Failover and failback procedures
18. Performance optimization and tuning
19. Bottleneck analysis and resolution
20. Troubleshooting techniques and strategies
21. Continuous integration and deployment
22. DevOps — similarities and differences
23. Security — best practices and considerations
24. Cloud infrastructure
25. Infrastructure as code
26. Kubernetes
27. Service meshes
28. Serverless computing
29. Multi-cloud and hybrid cloud strategies
30. Building resilience into systems and applications
31. Scalability and elasticity in modern systems
32. Microservices
33. Event-driven architectures
34. Distributed systems
35. Fault tolerance and reliability in distributed systems
36. CAP theorem and its implications for distributed systems
37. Consistency models and distributed systems
38. Replication and consensus algorithms in distributed systems
39. Network reliability and resilience
40. Network partitioning and the impact on reliability
41. Network congestion and its impact on reliability
42. Network latency and its impact on reliability
43. Network topologies and their impact on reliability
44. DNS — considerations and best practices
45. CDN— considerations and best practices
46. Storage— considerations and best practices
47. Backup and restore strategies for data reliability
48. Data consistency and durability in modern systems
49. Database reliability and high availability
50. Replication strategies and techniques for databases
51. Database sharding and its impact on reliability
52. CAP theorem and databases
53. Monitoring and observability for databases
54. Caching — considerations and best practices
55. Load balancing — considerations and best practices
56. API reliability and best practices
57. Mobile app reliability and best practices
58. Web app reliability and best practices
59. Microservices reliability and best practices
60. Cloud-native app reliability and best practices
61. IoT device reliability and best practices
62. Real-time systems reliability and best practices
63. Machine learning model reliability and best practices
64. Kubernetes reliability and best practices
65. Service mesh reliability and best practices
66. Multi-cloud reliability and best practices
67. Hybrid cloud reliability and best practices
68. Serverless reliability and best practices
69. Monitoring and alerting for reliability
70. Capacity planning and management for reliability
71. Incident management and response for reliability
72. Post-incident analysis and review for reliability
73. Configuration management for reliability
74. Change management for reliability
75. Testing and verification for reliability
76. Rollback and recovery for reliability
77. Automation
78. Hiring and retaining SRE talent
79. Managing remote SRE teams
80. Budgeting and cost optimization for reliability
81. Metrics and reporting for reliability
82. Developing an SRE career path
83. SRE certifications and training programs
84. SRE community and resources
85. Emerging trends in SRE
86. Building a Culture of Reliability in Organizations

Concluding Remarks

Well, that’s quite a long list. I hope I will not miss days unless there is a good reason for it. And I hope you guys will be there throughout my journey and wish me the best.

Have a great day! Cheers!!!

Hi, there!!! 👋

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