Davychenks

I WORK HARD!!! in total silence. The gap btn the life u living and life u want is choices. Take ur financial life SERIOUSLY. money is defense, it stops nonsense

[Artifence @Artifence]

Fungua either prolific, oneforma, sproutgigs, mexipel ama sigma. Fanya izi cheap jobs za 4-6$ per hour

[Marvin @sp4rtan300]

@SHAQBLAC NETWORK+
Linux+
RHCSA
RHCE
Kubernetes

[Davychenks @davychenko254]

@codewiddan Fill 13kg can. Empty the 13kg can into the 5kg can. You are left with 8kg. Repeat this process, You are left with 3 kg in the 13kg can. Transfer the 3kg into a packet. Do this twice such that the packet has 6kg. Fill the packet with 5kg can. That makes it 11kg!!

[AI Panda @AIPandaX]

He literally explained why six months is enough to reinvent your entire life...

[sachin. @sachin2]

Hard times create strong men.
Strong men create C.
C creates good times.
Good times create Python programmers.
Python programmers create AI.
AI creates vibe coders.
Vibe coders create weak men.
Weak men create hard times.

[ಸುಮಂತ । సుమంత । सुमन्त । சுமந்த் @sumanthbharatha]

@_adityaa21 Instead, master Mathematics.

Then the Fundamentals of Computer Science like Operating System, Networking, Algorithms, Database, Programming in any one language

This will let you grab any other skill on a need basis.

Without good fundamentals everything feels like a burden

[Aisha💕 @yeeshadev]

Day 2

Still on Linux fundamentals: I covered file navigations, permissions and permissions types (octal/ numerical and symbolic), what each numbers and symbols represents, process management (controlling running processes with - ps aux, kill, kill -9, top etc).

[Oreoluwa Bukola, CFA. @BukkyOA]

One of the best career advice I can give you 👇🏾

[RudeBwoy ™☠️🏴‍☠️ @RudeBwoy_Ke]

Nairobi Job hunters, I know you are many. Listen very carefully...

Ukitaka casual jobs anytime hauna kitu ya kufanya, always visit the following places : 🧵

[internet hall of fame @InternetH0F]

ChatGPT uses bro as a source

[Mischa van den Burg @mischavdburg]

You're arguing about whether Kubernetes is worth learning.

I'm turning down freelance clients at $200/hour because I'm fully booked.

[AsyncTrix @asynctrix]

Build These Projects → Become a DevOps Engineer in 2026

→ Build a Linux troubleshooting lab
→ Build log rotation & cleanup jobs
→ Build a CI pipeline that fails correctly
→ Build a deployment with rollback
→ Build Docker image optimization
→ Build image scanning & policy enforcement
→ Build reverse proxy rules
→ Build TLS certificate rotation
→ Build metrics that trigger actionable alerts
→ Build alert fatigue reduction
→ Build a log correlation flow
→ Build readiness & liveness checks
→ Build autoscaling thresholds
→ Build a blue-green or canary release
→ Build a backup restore test (not just backups)
→ Build a DR runbook
→ Build Terraform modules used more than once
→ Build a GitOps deployment
→ Build Kubernetes RBAC boundaries
→ Build network policies that actually block traffic
→ Build secrets rotation without downtime
→ Build environment parity (dev ≈ prod)
→ Build cost alerts before the bill arrives
→ Build an incident response checklist
→ Build a blameless postmortem
→ Build an on-call simulation
→ Build a controlled outage

🎯 Roadmaps show the way.
Building these makes you the Engineer.

Which one are you starting with in 2026 👇
(If this helps, follow for more practical DevOps paths.)

Drop your additions below 👇

[TechOps Examples @techopsexamples]

25 Blogs to Learn 25 DevOps Concepts:

1) Terraform Project Structure: https://t.co/lKJm0ju673
2) Terraform State: https://t.co/xP0GcHByBm
3) Terraform Graphs: https://t.co/K7VBKkOEM5
4) Terraform Dynamic Blocks: https://t.co/IajNnL61Bo
5) Crossplane with ArgoCD: https://t.co/lfkQkJQPAT
6) GitOps Push vs. Pull Architecture: https://t.co/fJiZTDaURC
7) Multi Cloud GitOps Workflow: https://t.co/HiJKQmLtmL
8) Kyverno with ArgoCD: https://t.co/kMzDdwrdJE
9) Dockerfile vs. Docker Compose: https://t.co/0rClQbzwzn
10) Docker Image: https://t.co/jrZU5vwUxt
11) Docket Cache: https://t.co/jyKGJ0Wvk7
12) Docker stats: https://t.co/TdolscGqEF
13) Docker Scout: https://t.co/TQLV7Nujxt
14) GitHub Actions Workflow: https://t.co/ffdIXmjmFY
15) GitHub Actions Optimization: https://t.co/PNAwSg1vgg
16) GitHub Branching Strategy: https://t.co/eeIQBayTg8
17) Ansible Architecture: https://t.co/aVkOWQhD5w
18) Ansible Roles: https://t.co/5mqAgAluFW
19) Ansible Dynamic Inventory: https://t.co/NJPK0vJO1p
20) Kubernetes Architecture: https://t.co/GQpHJILbKg
21) POD Lifecycle: https://t.co/dNBFn3whNE
22) pod.yaml Breakdown: https://t.co/sLWQhRWvFc
23) VPC Network Segmentation: https://t.co/TkyiwDbpLd
24) Lambda Integrations: https://t.co/PRDh5q4Amn
25) Serverless Architecture: https://t.co/pCX9893OIR

58K+ 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.

[Mustang @mustang_akin]

As someone who has been in the AI Automation space for about a year now and is currently running an AI Agency in Nigeria, this is what I have learnt and this is what they won’t tell you. So please take note before entering 2026.

[Davychenks @davychenko254]

@AskYoshik CHEATSHEET

[Jaydeep @_jaydeepkarale]

Every authentication method explained in one picture !!

1. Basic Authentication

Basic Authentication sends the username and password in every request, encoded using Base64.

The encoding is reversible, so it must always be used over HTTPS. While simple, it lacks features like token expiry or fine-grained access control.

Today, it’s mostly used in internal tools, scripts, and service-to-service communication.
---------------
2. Bearer Tokens

Bearer tokens are opaque strings sent with each request (usually in the Authorization header).

The server validates the token and grants access if it’s valid.

They are not tied to a specific protocol anyone holding the token can use it, which makes HTTPS mandatory.

Their stateless nature makes them easy to scale and common in modern APIs.
---------------

3. OAuth 2 (Authorization Framework)

OAuth 2 is not an authentication mechanism it is an authorization framework that allows applications to access resources on a user’s behalf without sharing passwords.

When you “log in with Google or GitHub,” the authentication part is typically handled by OpenID Connect (OIDC), which is built on top of OAuth 2.

---------------

4. JWT (JSON Web Token)

JWT is a token format, not an authentication system.

A JWT is usually signed (not encrypted) and contains claims such as user ID, issuer, audience, and expiry.

Because the token is self-contained, servers can validate it without storing session state.

A common mistake is putting too much user data into JWTs, which increases security risk and makes token rotation harder.
---------------

5. Access Tokens and Refresh Tokens

Modern systems typically use two tokens:
-- Access Tokens: Short-lived tokens used to call APIs.

-- Refresh Tokens: Long-lived tokens used to obtain new access tokens.

This improves both security and user experience. Refresh token storage depends on the client:

Backend services → stored securely server-side

Web/SPAs → often stored in HTTP-only cookies

Mobile apps → stored in secure OS keychains
---------------

6. Single Sign-On (SSO)

SSO allows users to authenticate once and access multiple related applications without re-logging in.
SSO is implemented using protocols such as:

SAML (XML-based, common in enterprises and legacy systems)

OAuth 2 + OpenID Connect (modern, JSON-based, common for web and mobile apps)

The protocol defines how identity and trust are exchanged between systems.

[Leon @MindMatterMoney]

Men, This animation gets me every single day.

[Dhanian 🗯️ @e_opore]

20 AWS Project Ideas with Tech Stack to Build Cloud Mastery

•Serverless Blog Platform
→ Tech Stack: AWS Lambda, API Gateway, DynamoDB, S3, CloudFront, Cognito

•Real-Time Chat Application
→ Tech Stack: AWS AppSync (GraphQL), DynamoDB Streams, WebSocket API, Amplify

•AI Image Recognition App
→ Tech Stack: Amazon Rekognition, S3, Lambda, API Gateway, CloudWatch

•E-Commerce Backend System
→ Tech Stack: AWS EC2, RDS (MySQL), Elastic Load Balancer, S3, CloudFormation

•Video Streaming Platform
→ Tech Stack: AWS MediaConvert, CloudFront, S3, Lambda, DynamoDB

•IoT Device Monitoring Dashboard
→ Tech Stack: AWS IoT Core, Lambda, DynamoDB, QuickSight, CloudWatch

•Automated Backup System
→ Tech Stack: AWS Backup, S3 Glacier, Lambda, CloudTrail

•Data Analytics Pipeline
→ Tech Stack: AWS Glue, S3, Athena, Redshift, QuickSight

•Multi-Region Web Application
→ Tech Stack: Route 53, EC2, S3, RDS, CloudFormation, CloudFront

•Machine Learning Model Deployment
→ Tech Stack: SageMaker, Lambda, API Gateway, S3, CloudWatch

•CI/CD Pipeline for Microservices
→ Tech Stack: CodeCommit, CodeBuild, CodeDeploy, ECS, CloudFormation

•Event-Driven Notification System
→ Tech Stack: SNS, SQS, Lambda, DynamoDB, CloudWatch

•Cost Optimization Dashboard
→ Tech Stack: AWS Cost Explorer API, Lambda, QuickSight, DynamoDB

•Multi-Tenant SaaS Platform
→ Tech Stack: ECS, Aurora, API Gateway, Cognito, S3

•Disaster Recovery System
→ Tech Stack: S3 Cross-Region Replication, RDS Read Replicas, Route 53 Failover

•AI Chatbot for Customer Support
→ Tech Stack: Amazon Lex, Lambda, DynamoDB, CloudWatch, SNS

•Serverless REST API for Mobile Apps
→ Tech Stack: Lambda, API Gateway, DynamoDB, Cognito, CloudFront

•Data Lake for Big Data Storage
→ Tech Stack: S3, Glue, Athena, EMR, Redshift Spectrum

•Serverless Image Processing Pipeline
→ Tech Stack: S3, Lambda, Step Functions, Rekognition, CloudWatch

•Log Analytics and Monitoring System
→ Tech Stack: CloudWatch, Kinesis Data Firehose, Lambda, Elasticsearch (OpenSearch), QuickSight

➡️ Grab this Ebook to Master AWS Projects and Cloud Implementation:
https://t.co/LRIEnC6VSq

[Shalini Goyal @goyalshaliniuk]

If you want to master System Design, nothing accelerates your learning faster than studying how real-world products operate at massive scale.

Here’s a guide that brings together 15 practical, high-impact case studies from companies that handle billions of users, messages, payments, queries, and media assets every single day.

Each case study shows how real engineering teams solve problems like latency, consistency, sharding, caching, replication, load balancing, and global distribution - in production.

Here are all 15 examples with direct sources so you can explore each one in depth:

1. How Google Search Works
https://t.co/Kv817nC8yz

2. How Netflix Streams to 250+ Million Users
https://t.co/eSIphuR2jH

3. How WhatsApp Handles Billions of Messages Daily
https://t.co/YvJs8J859j

4. How Instagram Manages Photos, Reels & Stories at Scale
https://t.co/1VePq4AhxP

5. How Uber Matches Riders & Drivers in Real Time
https://t.co/E4vSzhB91c

6. How Amazon Handles Millions of Orders Per Minute
https://t.co/A3jsbozmtz

7. How TikTok Recommendation Engine Works
https://t.co/dv6OPTNHwq

8. How Airbnb Manages Global Listings & Bookings
https://t.co/CIsUOwdl0C

9. How Dropbox Handles File Sync Across Devices
https://t.co/UamykICVQC

10. How Spotify Streams Music with Ultra-Low Latency
https://t.co/hdZ9wQujaU

11. How LinkedIn Feed Ranking Works
https://t.co/BNnLu7qgVN

12. How PayPal Processes Global Payments Reliably
https://t.co/OlUiARJzPr

13. How Zoom Enables Low-Latency Video Calls
https://t.co/IUBpgK5Cwb

14. How Pinterest Stores & Serves Billions of Images
https://t.co/1ZyOlGxikL

15. How ChatGPT Handles Massive Concurrent Queries
https://t.co/50Q9sRyo5R

Studying these systems gives you real insight into how large-scale architectures are designed, optimized, and evolved.

[SumitM @SumitM_X]

Junior Java developer Interview Report 👇

What do you think ?
How many can you answer ?