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🚀 CI/CD Explained: From Git Push to Production in 60s Ever wonder how companies like Netflix deploy code 100+ times per day without breaking production? Here’s the exact pipeline: 🔹 STEP 1: CODE R
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one of the most common AWS architectures broken down. frontend on CloudFront + S3, backend on EC2/Lambda/ECS, data layer with RDS/DynamoDB/S3. save this if you’re learning cloud or system design #a
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You built your app. Now you have to decide how to run it on AWS. EC2, ECS, EKS, Lambda same app. Different amounts of responsibility. EC2 You get a virtual server. You manage the OS, updates, and sc
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The reel gives you the mental model. Here’s what’s actually happening 👇 ━━━━━━━━━━━━━━━━━━━━━━━ Hugging Face → where models live You go there to explore models, compare them, and pick what you wan
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LangGraph in 55 seconds — here’s the full picture 👇 You saw the food delivery example. Let’s go one level deeper. LangGraph didn't replace LangChain. LangChain agents are actually built on top of L
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Redis runs on a single thread. Most engineers hear that and think wait, how is that even fast? Here is the answer: Redis uses an event loop, the same model Node.js uses. One thread executes command
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RAG vs MCP — most people confuse these two. They’re NOT competitors. 👉 RAG = reads your data 👉 MCP = acts on live systems RAG pulls from docs (policies, PDFs, knowledge base) and gives grounded a
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MCP is the USB-C of AI tools. Here’s what’s actually happening when Claude accesses GitHub, Notion, or Jira. There are 3 parts: → MCP Host The AI app you use. Claude Desktop, Cursor, Windsurf, VS C
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SQS vs SNS — two AWS tools that sound similar but solve completely different problems. Here’s the simplest way to think about it: A user places an order. Now three things need to happen — send a con
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Most developers think deploying means pushing code to servers. That’s not how modern systems work. You push code → CI builds your app → Git gets updated → and your cluster *pulls* the change. No ma
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Most people think AWS, Azure, and GCP are completely different. That’s why cloud feels confusing. ⸻ I thought the same. Different names. Different services. Feels like learning one means starting
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3 REST API mistakes that will break in production and what most tutorials don’t tell you. ⸻ 1. Endpoint naming The rule is simple. URL is the resource, HTTP method is the action. Don’t mix them.
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About @akashcode.official

Akashdeep Thanda is a verified Instagram macro influencer. With 153.4K followers and 105 posts, akashcode.official's account shows a follower-to-following ratio of 876.6:1. This profile has significant reach and engagement potential for brand collaborations. View all content anonymously on Pictame - no login required.

akashcode.official's engagement rate sits at 5.68%. That's 216% above what you'd typically see for accounts with 100K-500K followers (average 1.8%) — a sign of a genuinely connected audience.

Out of the last 12 posts, 100% are videos and 0% are photos. Content shows up about every 12 days. Captions lean detailed, averaging 1125 characters.

5.68% engagement rate — 216% above average for 100K-500K follower accounts.
Posts about every 12 days.
876.6:1 follower-to-following ratio.

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akashcode.official
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@akashcode.official

Akashdeep Thanda

Public
Posts
105
Top Hashtags
#devops#systemdesign#aws#backend#kubernetes#softwareengineering#cicd#backenddevelopment

Explore the most impactful hashtags used in recent posts. These tags highlight the core interests and trending topics that define this profile's digital influence and content strategy.

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Popular Hashtags

#friends#music#smile#family#life#amazing#instagram#lifestyle#gym#motivation#sunset#dog
Followers
153.4K
Following
175
Avg. Likes
8.6K
Avg. Comments
91
Engagement
5.68%

Teaching DevOps • GenAl • System Design Breaking down real production systems 150K+ engineers • 20+ countries • 4M views...

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