Susan Amechi

DevOps Engineer | AWS | CI/CD | Kurbernetes | Cloud Engineer

[Susan Amechi @amechi66478]

Over the past few days of my Cloud & DevOps journey, I've worked on IP addressing, MAC addresses, ARP, routing, subnetting, CIDR and VLSM.

I also used Python to validate subnet allocations and check for overlaps.
I'm learning to understand the network, not just memorise commands

[Susan Amechi @amechi66478]

@atomicai_ch Thank you
That's really the next step

[Susan Amechi @amechi66478]

I've built a few DevOps projects, but I want to understand what happens underneath the tools.

So I'm starting from the basics of networking.

Yesterday, I explored IP addresses, MAC addresses, routing, DNS and ARP.

Learning how computers actually communicate, one step at a time

[Akhilesh Mishra @livingdevops]

Kubernetes is beautiful.

Every Concept Has a Story, you just don't know it yet.

In k8s, you run your app as a pod. It runs your container. Then it crashes, and nobody restarts it. It is just gone.

So you use a Deployment. One pod dies and another comes back. You want 3 running, it keeps 3 running.

Every pod gets a new IP when it restarts. Another service needs to talk to your app but the IPs keep changing. You cannot hardcode them at scale.

So you use a Service. One stable IP that always finds your pods using labels, not IPs. Pods die and come back. The Service does not care.

But now you have 10 services and 10 load balancers. Your cloud bill does not care that 6 of them handle almost no traffic.

So you use Ingress. One load balancer, all services behind it, smart routing. But Ingress is just rules and nobody executes them.

So you add an Ingress Controller. Nginx, Traefik, AWS Load Balancer Controller. Now the rules actually work.

Your app needs config so you hardcode it inside the container. Wrong database in staging. Wrong API key in production. You rebuild the image every time config changes.

So you use a ConfigMap. Config lives outside the container and gets injected at runtime. Same image runs in dev, staging and production with different configs.

But your database password is now sitting in a ConfigMap unencrypted. Anyone with basic kubectl access can read it. That is not a mistake. That is a security incident.

So you use a Secret. Sensitive data stored separately with its own access controls. Your image never sees it.

Some days 100 users, some days 10,000. You manually scale to 8 pods during the spike and watch them sit idle all night. You cannot babysit your cluster forever.

So you use HPA. CPU crosses 70 percent and pods are added automatically. Traffic drops and they scale back down. You are not woken up at 2am anymore.

But now your nodes are full and new pods sit in Pending state. HPA did its job. Your cluster had nowhere to put the pods.

So you use Karpenter. Pods stuck in Pending and a new node appears automatically. Load drops and the node is removed. You only pay for what you actually use.

One pod starts consuming 4GB of memory and nobody told Kubernetes it was not supposed to. It starves every other pod on that node and a cascade begins. One rogue pod with no limits takes down everything around it.

So you use Resource Requests and Limits. Requests tell Kubernetes the minimum your pod needs to be scheduled. Limits make sure no pod can steal from everything around it. Your cluster runs predictably.

[Ayaan 🐧 @twtayaan]

find every free service you need to build, deploy and run a project, thank me later

https://t.co/S4vV3R79CE

[Susan Amechi @amechi66478]

Today, I continued learning networking fundamentals, focusing on subnet masks and CIDR.

I learned how to calculate subnet masks using binary, identify network and host bits, and calculate the number of IP addresses in a subnet.

One step at a time. Building solid foundations.

[Yatharth Verma @yatharth170699]

Every backend engineer should build these 15 projects at least once.

Not another CRUD app. Projects that help you understand what's actually happening under the hood.

1. Distributed Rate Limiter — Explore token buckets, sliding windows, Redis atomicity and distributed coordination.

2. High-Concurrency HTTP Server — Understand TCP sockets, event loops, async I/O, connection handling and backpressure.

3. API Gateway — Learn reverse proxies, request routing, load balancing, authentication and circuit breakers.

4. Message Queue (Mini Kafka) — Understand producers, consumers, partitioning, acknowledgements and delivery guarantees.

5. Distributed Job Scheduler — Implement worker pools, retries, exponential backoff, delayed jobs and idempotency.

6. Distributed Cache — Explore cache eviction, TTL, cache invalidation, replication and cache stampede prevention.

7. WebSocket Server — Handle persistent connections, heartbeats, broadcasting and thousands of concurrent clients.

8. Database Connection Pool — Understand connection lifecycle, pooling, resource exhaustion, timeouts and concurrency.

9. Mini Database / Storage Engine — Implement write-ahead logging, indexing, B-trees and crash recovery.

10. Distributed Key-Value Store — Explore consistent hashing, partitioning, replication and failure detection.

11. DNS Resolver — Understand DNS records, recursive resolution, UDP/TCP, TTL and caching.

12. Concurrent Task Scheduler — Work with threads, processes, locks, synchronization and worker pools.

13. Log Aggregation System — Build log ingestion, buffering, indexing, searching and retention.

14. Change Data Capture (CDC) System — Capture database changes and explore event streaming, ordering and checkpoints.

15. CLI Process Monitor — Understand OS processes, CPU and memory monitoring, signals and resource management.

The real learning comes from building these from scratch, testing failure scenarios, benchmarking performance and understanding the trade-offs.

Which one would you add to this list? 👇

[Ayaan 🐧 @twtayaan]

This GitHub repo is an entire production-grade DevOps course.

18 hands-on labs take one application from Docker and CI/CD to Terraform, Kubernetes, Helm, Argo CD, Prometheus, Grafana and progressive delivery.

https://t.co/wlz3iEvQq6

[AI_Explorer @ai_explorer25]

Learn Coding by playing games

1. Kubernetes
https://t.co/asmX2e63Va

2. DevOps
https://t.co/5d9UZmCLKm

3. Linux
https://t.co/5lykebIy4w

4. Git
https://t.co/ffznxkA17X

5. Python
https://t.co/2nprnaayRU

6. CSS & HTML
https://t.co/1hOf8oa8Kk

7. Cybersecurity
https://t.co/kD2US36n4R

8. Mobile Coding (like Duolingo)
https://t.co/aXsdDAR7PR

9. For Complete Beginners
https://t.co/XoxpHQwCZM

10. 25+ Programming Languages
https://t.co/c5uulSTTeW

[Susan Amechi @amechi66478]

@libracoder I'm interested

https://t.co/IaC9ZOuS1z

[Mashood K @fromcodetocloud]

Want to get stand out in your first DevOps job?
Here are the only 5 certifications worth your time right now.

Yes certificates do help you in shortlisting, But you dont need all try to get atleast one.

1. AWS Cloud Practitioner (CLF-C02)
Entry level. Shows you understand cloud fundamentals.

2. HashiCorp Terraform Associate
Validates IaC skills. Every DevOps job asks for Terraform now.

3. GitHub Actions Certification
Newer cert. CI/CD is everywhere. This proves you can build pipelines.

4. Linux Foundation: Intro to K8s (LFS158)
Good foundation before the paid K8s certs.

5. CKA (Certified Kubernetes Administrator)
Hardest on this list. Most respected.
Do this after 6+ months of K8s experience.
Not before.

Order matters.
Start with Cloud Practitioner and Terraform.
Then CI/CD. Then K8s.

[Miracle Nnamdi @Miracle_NNnn]

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[Bardhyl Bytyqi @BardhylBytyqi]

If you design with AI, this is all you need

1. https://t.co/BVLdRK7UqB — cheaper than lovable
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4. https://t.co/HnfTgTWTw8 — 127 full figma designs
5. https://t.co/GwoiHkfiYN — world best icons
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7. https://t.co/3J5MJsvWDD — design community
8. https://t.co/VXNLXhmsoD — award-winning websites
9. https://t.co/7raDCl7bq1 — mobile UI animations
10. https://t.co/Zyngx75BhQ — footer inspiration
11. https://t.co/xTjAWnt4X4 — next level design
12. https://t.co/Q3Fm8mtHNx — backgrounds

save this for later

[Dhanian 🗯️ @e_opore]

GIT ROADMAP
│
├── 01. GIT FOUNDATIONS
│ ├── What Is Git?
│ ├── Why Version Control Matters
│ ├── Git vs GitHub vs GitLab
│ ├── Distributed Version Control
│ ├── Installing Git
│ ├── Configuring Git
│ ├── Git Configuration Levels
│ ├── Git Help & Documentation
│ └── Understanding Git Repositories
│
├── 02. GIT BASICS
│ ├── git init
│ ├── git clone
│ ├── git status
│ ├── git add
│ ├── git commit
│ ├── git log
│ ├── git diff
│ ├── git show
│ └── The Git Workflow
│
├── 03. TRACKING CHANGES
│ ├── Working Directory
│ ├── Staging Area
│ ├── Git Repository
│ ├── Tracking Files
│ ├── Untracked Files
│ ├── Modified Files
│ ├── Staged Changes
│ ├── Ignoring Files with .gitignore
│ └── Viewing File History
│
├── 04. COMMITS & HISTORY
│ ├── Writing Good Commit Messages
│ ├── Atomic Commits
│ ├── Commit Hashes
│ ├── Viewing Commit History
│ ├── git commit --amend
│ ├── git reset
│ ├── git revert
│ ├── git restore
│ └── Recovering Lost Changes
│
├── 05. BRANCHING
│ ├── What Are Branches?
│ ├── git branch
│ ├── git switch
│ ├── git checkout
│ ├── Creating Branches
│ ├── Renaming Branches
│ ├── Deleting Branches
│ ├── HEAD & References
│ └── Detached HEAD State
│
├── 06. MERGING & CONFLICTS
│ ├── git merge
│ ├── Fast-Forward Merges
│ ├── Three-Way Merges
│ ├── Merge Conflicts
│ ├── Resolving Conflicts
│ ├── Merge Strategies
│ ├── Aborting a Merge
│ ├── Merge vs Rebase
│ └── Keeping Branches in Sync
│
├── 07. REMOTE REPOSITORIES
│ ├── What Are Remote Repositories?
│ ├── git remote
│ ├── git fetch
│ ├── git pull
│ ├── git push
│ ├── Adding Remote Origins
│ ├── Upstream Branches
│ ├── Tracking Remote Branches
│ └── Handling Push Rejections
│
├── 08. GITHUB & COLLABORATION
│ ├── Creating a GitHub Repository
│ ├── Connecting Local & Remote Repositories
│ ├── Forking Repositories
│ ├── Cloning Projects
│ ├── Pull Requests
│ ├── Code Reviews
│ ├── Issues & Discussions
│ ├── Resolving Review Feedback
│ └── Contributing to Open Source
│
├── 09. REBASING & ADVANCED HISTORY
│ ├── git rebase
│ ├── Interactive Rebasing
│ ├── Squashing Commits
│ ├── Reordering Commits
│ ├── Editing Commit Messages
│ ├── Cherry-Picking Commits
│ ├── Rebasing vs Merging
│ ├── Rebase Conflicts
│ └── Safe History Rewriting
│
├── 10. STASHING & TEMPORARY CHANGES
│ ├── git stash
│ ├── git stash push
│ ├── git stash list
│ ├── git stash apply
│ ├── git stash pop
│ ├── Naming Stashes
│ ├── Stashing Untracked Files
│ ├── Managing Multiple Stashes
│ └── Recovering Stashed Changes
│
├── 11. TAGS & RELEASES
│ ├── What Are Git Tags?
│ ├── Lightweight Tags
│ ├── Annotated Tags
│ ├── git tag
│ ├── git push --tags
│ ├── Semantic Versioning
│ ├── Creating Release Tags
│ ├── Checking Out Tags
│ └── Release Management
│
├── 12. GIT INTERNALS
│ ├── Git Objects
│ ├── Blobs
│ ├── Trees
│ ├── Commits
│ ├── Annotated Tag Objects
│ ├── The .git Directory
│ ├── Object Database
│ ├── References & Reflogs
│ └── Content-Addressable Storage
│
├── 13. ADVANCED GIT TOOLS
│ ├── git reflog
│ ├── git bisect
│ ├── git blame
│ ├── git grep
│ ├── git clean
│ ├── git worktree
│ ├── git archive
│ ├── git fsck
│ └── git filter-repo
│
├── 14. GIT WORKFLOWS
│ ├── Centralized Workflow
│ ├── Feature Branch Workflow
│ ├── Git Flow
│ ├── Trunk-Based Development
│ ├── Forking Workflow
│ ├── Pull Request Workflow
│ ├── Release Branches
│ ├── Hotfix Branches
│ └── Choosing the Right Workflow
│
├── 15. GIT SECURITY
│ ├── SSH Authentication
│ ├── HTTPS Authentication
│ ├── Personal Access Tokens
│ ├── Git Credential Management
│ ├── Preventing Secret Leaks
│ ├── Removing Exposed Secrets
│ ├── Signed Commits
│ ├── Commit Signature Verification
│ └── Repository Access Controls
│
├── 16. GIT AUTOMATION & CI/CD
│ ├── Git Hooks
│ ├── Pre-Commit Hooks
│ ├── Commit Message Hooks
│ ├── GitHub Actions
│ ├── GitLab CI/CD
│ ├── Automated Testing
│ ├── Build Automation
│ ├── Deployment Workflows
│ └── Automated Release Pipelines
│
├── 17. LARGE PROJECTS & MONOREPOS
│ ├── Git Monorepos
│ ├── Managing Large Repositories
│ ├── Git LFS
│ ├── Git Submodules
│ ├── Git Subtrees
│ ├── Sparse Checkout
│ ├── Shallow Clones
│ ├── Repository Optimization
│ └── Monorepo Collaboration
│
├── 18. TEAM COLLABORATION & BEST PRACTICES
│ ├── Branch Naming Conventions
│ ├── Commit Message Conventions
│ ├── Conventional Commits
│ ├── Small & Focused Commits
│ ├── Keeping Pull Requests Small
│ ├── Code Review Best Practices
│ ├── Resolving Collaboration Conflicts
│ ├── Protecting Main Branches
│ └── Maintaining Clean History
│
├── 19. TROUBLESHOOTING & RECOVERY
│ ├── Undoing the Last Commit
│ ├── Recovering Deleted Files
│ ├── Fixing Detached HEAD
│ ├── Resolving Merge Conflicts
│ ├── Fixing Diverged Branches
│ ├── Recovering Lost Commits
│ ├── Fixing Authentication Errors
│ ├── Repairing Corrupted Repositories
│ └── Recovering from Incorrect Resets
│
└── 20. PRACTICAL GIT PROJECTS
├── Personal Git Repository
├── Feature Branch Workflow
├── Team Collaboration Simulation
├── Open Source Contribution
├── Merge Conflict Resolution Lab
├── Interactive Rebase Practice
├── Git Hooks Automation Tool
├── Git-Based CI/CD Pipeline
├── Monorepo Management Project
├── Automated Release Workflow
└── Complete Team Git Workflow

[TechOps Examples @techopsexamples]

If you are into DevOps and Cloud Engineering.
here are 20 real-world use cases worth studying:

1) Architecture to Overcome API Gateway Pay Load Limit
https://t.co/5OBSP9ykCa

2) Kubernetes Pod Disruption Budget Practical Guide
https://t.co/g1IGnB1r2P

3) How Provisioned Concurrency Cuts AWS Lambda Cold Starts by 98%
https://t.co/ONbTeKQp9O

4) How to Reduce Docker Image Size
https://t.co/jrZU5vwUxt

5) Multi Cloud GitOps Workflow for Kubernetes Management
https://t.co/HiJKQmLtmL

6) GitHub Actions Workflow for Terraform workspaces
https://t.co/ffdIXmjmFY

7) How To Convert Existing Cloud Infrastructure To Terraform
https://t.co/TdZsMV5LQG

8) Kubernetes Node Not Ready - How To Fix It
https://t.co/AxBkdK2qpY

9) How One BigQuery Query Costs Shopify $1M a Month
https://t.co/CSxMV4h3vG

10) How AWS Handled 2024 Prime Day’s Record Breaking Traffic
https://t.co/XLnVQ1TND2

11) Hidden Risk Of Relying On Labels In Kubernetes Security
https://t.co/jIn7dJKG61

12) Detecting and Mitigating Image Vulnerabilities with Docker Scout
https://t.co/TQLV7Nujxt

13) Security Researcher Exposed AWS Keys and API Secrets of $1B VC Firm in 5 Clicks
https://t.co/ea6Wqh0xJ0

14) Guide to a Well Structured Terraform Project
https://t.co/lKJm0ju673

15) Cloud Disaster Recovery Strategies
https://t.co/zy7zSP5XWT

16) Why should a container have only one process?
https://t.co/KmQYCH1DDQ

17) AWS VPC Gateway Endpoints - The Most Underrated Cost Savers
https://t.co/wIU1DuvJbS

18) The Problem With Overusing Terraform Dynamic Blocks
https://t.co/IajNnL61Bo

19) How Levels. fyi Cuts Cloud Bill By 15%
https://t.co/hngD03GvTR

20) Kubernetes Air Gap Implementation
https://t.co/u3dgGHAwY2

50K+ read my DevOps and Cloud newsletter: https://t.co/wwkI6UOSo4

What do we cover:
DevOps, Cloud, Kubernetes, IaC, GitOps, MLOps

🔁 Consider a Repost if this is helpful

[AI_Explorer @ai_explorer25]

Best 15 accounts to follow in AI:

@karpathy = LLMs king
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[Shefali @Shefali__J]

GitHub repositories to learn AI

Save for later🔖

[• nanou • @NanouuSymeon]

🚀 Software Engineer Roadmap 2026

🧠 1. Programming Fundamentals (Python, Java, C++)
💻 2. Data Structures & Algorithms
🌐 3. HTML, CSS & JavaScript Basics
🗄️ 4. SQL & Database Design
🔧 5. Git, GitHub & Version Control
⚙️ 6. Object-Oriented Programming
🔌 7. APIs, REST & GraphQL
🏗️ 8. System Design & Architecture
🧪 9. Testing, Debugging & Clean Code
🐧 10. Linux & Command Line
☁️ 11. Cloud Computing (AWS, Azure, GCP)
🐳 12. Docker & CI/CD
🔐 13. Cybersecurity Fundamentals
📊 14. Performance & Scalability
🤖 15. AI-Assisted Development (Copilot, Cursor, ChatGPT)
🧩 16. AI APIs, LLMs & RAG Basics
🚀 17. Build & Deploy Real Projects
🤝 18. Code Reviews & Team Collaboration
📁 19. Create a Strong GitHub Portfolio
🎯 20. Contribute to Open Source

[Sick @sickdotdev]

Who's gonna teach vibe coders this?

1. Rate Limiting
2. Caching
3. Load Balancing
4. Reverse Proxies
5. API Gateways
6. CI/CD 7. Docker
8. Kubernetes
9. Service Discovery
10. Circuit Breakers
11. Timeouts
12. Retries
13. Exponential Backoff
14. Idempotency
15. Message Queues
16. Pub/Sub
17. Event-Driven Architecture
18. Distributed Transactions
19. Saga Pattern

[Rohit Ghumare @ghumare64]

Who's gonna tell vibe coders about...

1. SQL Injection
2. XSS
3. CSRF
4. CORS
5. SSRF
6. IDOR
7. Path Traversal
8. Mass Assignment
9. Clickjacking
10. Content Security Policy
11. Security Headers
12. Input Validation
13. Server-Side Authorization
14. Row-Level Security
15. Least Privilege
16. RBAC
17. Secrets Management
18. .env in .gitignore
19. API Key Rotation
20. Secret Scanning
21. Hashing vs Encryption
22. Password Salting
23. bcrypt & Argon2
24. JWT Expiry
25. Refresh Tokens
26. OAuth 2.0
27. OpenID Connect
28. Session Fixation
29. MFA
30. Brute Force Protection
31. Account Enumeration
32. Timing Attacks
33. File Upload Validation
34. Webhook Signature Verification
35. TLS Certificate Expiry
36. HSTS
37. Encryption at Rest
38. Dependency Vulnerabilities
39. Supply Chain Attacks
40. Threat Modeling
41. Indexes
42. EXPLAIN ANALYZE
43. N+1 Queries
44. Full Table Scans
45. Connection Pooling
46. Database Migrations
47. Down Migrations
48. Transactions
49. ACID
50. Isolation Levels
51. Deadlocks
52. Optimistic Locking
53. Pessimistic Locking
54. Normalization
55. Denormalization
56. Foreign Keys
57. Unique Constraints
58. Cascading Deletes
59. Soft Deletes
60. UUIDs vs Auto-Increment
61. Cursor-Based Pagination
62. Full-Text Search
63. Read Replicas
64. Replication Lag
65. Sharding
66. Partitioning
67. Hot Partitions
68. Postgres VACUUM
69. Materialized Views
70. Backups
71. Testing Your Restores
72. Point-in-Time Recovery
73. Change Data Capture
74. Outbox Pattern
75. ORM Lazy Loading
76. CAP Theorem
77. Eventual Consistency
78. Strong Consistency
79. Raft Consensus
80. Leader Election
81. Split Brain
82. Quorums
83. Clock Skew
84. Distributed Locks
85. Consistent Hashing
86. Bloom Filters
87. Two-Phase Commit
88. CQRS
89. Event Sourcing
90. Race Conditions
91. Backpressure
92. Load Shedding
93. Bulkheads
94. Jitter
95. Retry Storms
96. Cascading Failures
97. Thundering Herd
98. Cache Invalidation
99. Cache Hit Ratio
100. TTLs
101. Cache Warming
102. Write-Through vs Write-Back
103. Redis Eviction Policies
104. CDNs
105. Cache-Control Headers
106. ETags
107. Dead Letter Queues
108. Poison Messages
109. At-Least-Once Delivery
110. Exactly-Once Semantics
111. Message Ordering
112. Kafka Consumer Groups
113. Partition Keys
114. Background Jobs
115. Webhook Retries
116. DNS
117. DNS Propagation
118. HTTP Status Codes
119. HTTP Method Semantics
120. Keep-Alive
121. HTTP/2
122. WebSockets
123. Server-Sent Events
124. Long Polling
125. gRPC
126. Protocol Buffers
127. API Versioning
128. OpenAPI Specs
129. Backward Compatibility
130. Request Size Limits
131. Compression
132. Latency vs Throughput
133. Egress Fees
134. VPCs
135. Subnets
136. NAT Gateways
137. Firewalls
138. Security Groups
139. Service Mesh
140. Ingress Controllers
141. Health Checks
142. Liveness vs Readiness Probes
143. Graceful Shutdown
144. Connection Draining
145. Stateless Services
146. Failover
147. Multi-Region
148. Availability Zones
149. Single Points of Failure
150. Disaster Recovery
151. RTO & RPO
152. SLAs
153. SLOs
154. Error Budgets
155. Incident Response
156. On-Call
157. Runbooks
158. Postmortems
159. Chaos Engineering
160. Graceful Degradation
161. Autoscaling
162. Horizontal vs Vertical Scaling
163. Cold Starts
164. Capacity Planning
165. Load Testing
166. Memory Leaks
167. OOM Killer
168. Structured Logging
169. Log Levels
170. Log Rotation
171. Distributed Tracing
172. OpenTelemetry
173. Correlation IDs
174. Metrics Cardinality
175. p99 Latency
176. Alert Fatigue
177. Error Tracking
178. Profiling
179. Flame Graphs
180. Infrastructure as Code
181. Terraform State
182. GitOps
183. Blue-Green Deployments
184. Canary Releases
185. Rollbacks
186. Feature Flags
187. Environment Parity
188. Staging Environments
189. 12-Factor Apps
190. Multi-Stage Builds
191. Non-Root Containers
192. Image Scanning
193. Resource Requests & Limits
194. Pod Disruption Budgets
195. Semantic Versioning
196. Lockfiles
197. Reproducible Builds
198. Branch Protection