Abhishek.Veeramalla

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Updated: May 12, 2026 at 8:21 AM

Abhishek.Veeramalla

The main purpose of this channel is to share Materials, Interview Q&A and Useful resources to my Youtube Subscribers 🎉

Follow @abhishekveeramalla to stay updated with the latest youtube and purpose trends and news

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Total: 50.4K

24h growth: +163 0%

Latest Posts

Abhishek.Veeramalla

May 11, 2026, 05:45 PM

Big AI News 🔥
Yesterday, LUMA introduced API for the best Image generation model - UNI-1

This is Huge, let me explain with two examples.

1. Today developers code through AI but for Images on the websites - they go to models like mid journey or UNI-1, generate images and paste in the code. So much manual activity.
Now they can use the LUMA UNI-1 API in the code along with Claude API
So both code and Images are generated by AI.

Even Image changes can go through CI/CD Pipelines.

2. Very common use-case, when a team plans for a feature, they create fake UI slides to show how the feature would look like.
Unfortunately, midjourney like tools, generates images which are not consistent in font, color or look.

Both these problems are solved now.

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Abhishek.Veeramalla

May 11, 2026, 05:45 PM

The advantage here is that LUMA UNI-1 Images are top notch in quality.

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Abhishek.Veeramalla

May 11, 2026, 05:45 PM

Even I experimented and built something.

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Abhishek.Veeramalla

May 11, 2026, 05:45 PM

They are doing strange things. Layoffs, pricing changes, removing models

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Abhishek.Veeramalla

May 11, 2026, 05:45 PM

AI can't predict today's DevOps & SRE outages, The reason is simple

Obseravability data is scattered and time senstivie. Some information is in logs, some is in metrics and real root cause might be in traces.
On top of all these - this data is time sensitive, information is logs, metrics and traces keeps changing every second.

So unless companies go with Time-series database for whole obseravility, it cannot be achieved.

In a nutshell - AIOps + Timeseries Database is the solution

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Abhishek.Veeramalla

May 11, 2026, 05:45 PM

This is a very interesting blog to read

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Abhishek.Veeramalla

May 11, 2026, 05:45 PM

https://tsdb.co/abhishek-li

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Abhishek.Veeramalla

May 11, 2026, 05:45 PM

If you use Chat GPT a lot, Just remember this - Chat GPT will not be Free forever. It's not Google search.

So don't skip the habit of
• going through docs
• talking to seniors
• troubleshotting issues
• watching sessions from experts
• reading engineering blogs

Most importantly don't think you are wasting time understanding things. Don't kill your human intelliegence.

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221

Abhishek.Veeramalla

May 11, 2026, 05:45 PM

📷 Photo

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Abhishek.Veeramalla

May 11, 2026, 05:45 PM

Happened to someone very close to me. Not sure what’s wrong with GitHub

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Abhishek.Veeramalla

Mar 31, 2026, 05:00 AM

## Critical Issues
- Issue
- Why it matters
- Fix

## High Priority Issues
...

## Medium Issues
...

## Suggestions / Improvements
...

---

RULES:
- Be concise but insightful
- Do NOT hallucinate issues — only flag what is visible
- If no issues found, explicitly say: "No major security issues detected"
- Avoid vague statements like "improve security"
- Always provide at least one improvement suggestion

---

TONE:
- Professional
- Direct
- Helpful (not harsh)

---

IMPORTANT:
Assume this code will run in PRODUCTION handling real users and sensitive data.

5,860

Abhishek.Veeramalla

Mar 31, 2026, 05:00 AM

You are a Senior DevSecOps Engineer with 15+ years of experience in:
- Secure coding practices
- Cloud-native architectures
- Kubernetes and container security
- CI/CD pipelines
- API security and authentication
- Infrastructure as Code (Terraform, CloudFormation)

Your task is to perform a deep security and quality review of the given code changes from a Pull Request.

You must think like:
- A security auditor
- A senior software engineer
- A production SRE

Do NOT give generic advice. Be specific, actionable, and practical.

---

INPUT YOU WILL RECEIVE:
- Code diff (PR changes)
- File names
- Programming language
- (Optional) Context about the application

---

YOUR OBJECTIVES:

1. SECURITY ANALYSIS
Identify:
- Hardcoded secrets (API keys, tokens, passwords)
- Injection vulnerabilities (SQL, command, code injection)
- Insecure deserialization
- Improper authentication/authorization
- Sensitive data exposure
- Misconfigured security settings
- Dependency risks (if visible)

For each issue:
- Explain WHY it is a problem
- Mention potential impact
- Suggest a secure fix

---

2. DEVOPS & INFRA REVIEW
Check for:
- Dockerfile issues (root user, large images, no healthcheck)
- Kubernetes YAML misconfigurations (privileged containers, no limits, open services)
- CI/CD risks (secrets exposure, unsafe scripts)
- Infrastructure misconfigurations (public access, lack of encryption)

---

3. CODE QUALITY & BEST PRACTICES
Identify:
- Bad error handling
- Poor logging practices
- Inefficient code patterns
- Violations of clean code principles

---

4. RISK PRIORITIZATION
Classify findings into:
- Critical
- High
- Medium
- Low

---

5. FIX RECOMMENDATIONS
For each issue:
- Provide corrected code snippet (if applicable)
- Keep fixes minimal and practical

---

6. PR REVIEW COMMENT FORMAT
Your output should be structured exactly like a professional PR review:

## Summary
Brief overview of overall code health (2–3 lines)

Abhishek.Veeramalla

Mar 31, 2026, 05:00 AM

Top 10 DevOps concepts you should learn in 2026.
https://youtu.be/v1tGG2_OxQg

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Abhishek.Veeramalla

Mar 31, 2026, 05:00 AM

I am working on a Freelancing project to build a DevSecOps Agent for a startup, They don't want to use N8n, so I used an opensource alternative. I just completed building the workflow

This is the flow:
----------------
GitHub -> Webhook -> PR -> Agent webhook -> PR Diff Agent -> PR diff -> Security Agent -> Analysis -> GitHub Comment

I cannot share the project as it is under NDA but sharing the prompt here which worked for me.

5,430

Abhishek.Veeramalla

Mar 31, 2026, 05:00 AM

One underrated way to learn new technologies → Developer Resources.

Lately, I’ve been spending more time going through them instead of just skimming tutorials.
They usually include deep engineering blogs, architecture breakdowns, demos, and real implementation examples.

For instance, I recently wanted to understand Agent Memory in AI systems. I hadn’t worked with it before and wasn’t sure how it works internally.

Then I found a developer resource titled “Why Your AI Has Amnesia and How to Fix It.”
Spent a couple of hours on it and the whole concept suddenly made a lot more sense.

If you're building with AI, RAG, or vector search, these kinds of resources are gold.

Here are 5 developer resources I found really useful:
• How Do I Store And Query Vector Embeddings? • Agent Memory: Why Your AI Has Amnesia and How to Fix It • Vector Search with Oracle AI Database • Build a Scalable Multi-Agent RAG System with A2A Protocol and LangChain • Introduction to Context Engineering and Agent Memory with Oracle AI

Best part → No credit card. No paywall.
Explore them here 👇
https://fandf.co/4blVCGt https://fandf.co/4blVCGt https://fandf.co/4blVCGt to Oracle building these free developer resources and collaborating on this post.

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Abhishek.Veeramalla

Mar 31, 2026, 05:00 AM

So don’t miss to Bookmark this engineering blog - https://fandf.co/4blVCGt

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Abhishek.Veeramalla

Mar 31, 2026, 05:00 AM

Happy Sunday ❤️

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Abhishek.Veeramalla

Mar 31, 2026, 05:00 AM

Best part, you can tag along with your colleague or someone in your network, of course share submission on only one name.

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Abhishek.Veeramalla

Mar 31, 2026, 05:00 AM

Don’t miss the opportunity to win 1000 USD.

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Abhishek.Veeramalla

Mar 31, 2026, 05:00 AM

https://youtu.be/GlZKLS9K_BE

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Latest Posts