DevOps Stuff's

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DevOps Stuff's

@devops_inside

Foundation First! - DevOps | SRE | Cloud | System Design

Beigetreten Ekim 2015
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DevOps Stuff's
DevOps Stuff's@devops_inside·
#DevOps Diaries #134 Just read the AWS Architecture Blog on Artera’s prostate cancer AI solution. They take 8GB whole-slide biopsy images, split them into tens of thousands of patches, and run computer vision + multimodal AI on EKS - delivering results in 1–2 days instead of 6 weeks of current available solutions, while keeping the tissue intact for further testing, interesting to see AI is solving reallife pain. Tech Stack: 1. EKS for scalable ML inference/training 2. ECS for clinician web portal 3. S3 + EFS for storage & data locality 4. Global Accelerator sits in front of ALB — routes traffic over AWS global network to cut latency for large file uploads/downloads and improve global availability (HIPAA compliant). Clean example of EKS + global networking for life-critical AI workloads. Full blog link in comment- #AWS #EKS #GlobalAccelerator #Kubernetes #DevOps #AI
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DevOps Stuff's
DevOps Stuff's@devops_inside·
#DevOps Diaries #133 #Kubernetes Voluntary disruptions = things you control: - Node drains - Cluster upgrades - Manual pod deletions Involuntary disruptions = things you don't: - Node crashes - Hardware failures - OOM kills Most of the teams never sets up Pod Disruption Budgets (PDB) in Kubernetes. Until production goes down during a node drain. One maintenance event → all pods evicted → full outage. A PDB prevents exactly that. It tells Kubernetes: keep at least 1( or n number of pods) pod alive, no matter what. Things that we miss: - PDBs don't protect against node crashes. Only voluntary disruptions. #linux #devopsinterview #containers
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DevOps Stuff's
DevOps Stuff's@devops_inside·
#RandomThoughts Right now most setups look like: Prompt → LLM → Hope it works That’s not scalable. The next big wave? AI Agent Orchestrators Systems that will: • Coordinate multiple agents • Manage tools, APIs, permissions • Handle retries, failures, fallbacks • Maintain memory & context • Add guardrails + observability This is already started but not matured yet. #AI #DevOps #LLM #Agents #TechTrends
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DevOps Stuff's
DevOps Stuff's@devops_inside·
#DevOpsDiaries #132 Deleted an AWS resource by mistake? In theory, it’s not recoverable. But in practice (at least from my experience), if you raise an AWS support ticket immediately, the support team can sometimes restore the service. My guess is the resource isn’t deleted instantly in the backend. There seems to be a buffer period before the actual cleanup happens, allowing support to cancel the deletion. This isn’t officially documented, and AWS never guarantees recovery - but it has worked in several cases. If anyone from AWS knows how this actually works internally, would love to hear it. As always, the comment section is yours. #devops #sre #aws
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DevOps Stuff's
DevOps Stuff's@devops_inside·
I can see two types of engineers in the office now: 1. Prompt the AI agent and, while it’s completing the task, scroll phone / LinkedIn / personal stuff 2. Prompt the AI agent and, while it’s running, start another task or prompt in parallel The real question: Is AI improving my productivity or just filling idle time? #ai #devops #startup #productivity
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Ramin Nasibov
Ramin Nasibov@RaminNasibov·
explain your username pls
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DevOps Stuff's
DevOps Stuff's@devops_inside·
#DevOps Diaries #131 Heard of BridgeSwarm? When people hear “AI coding assistant”, most of us instantly think of one single agent like Cursor or Claude. I’m not against them - they’re fast and super helpful for quick stuff. But one agent is NOT enough when the task gets real. Example scenario: You’ve got a messy codebase to refactor + new features to add + tests to run + proper review needed. • Back-and-forth chatting with one AI • Context gets lost • Code quality slips • Takes forever Be honest… you’ve been there, right? 😄 Then I saw this awesome tool that’s actually solving the real issue: BridgeSwarm from BridgeMind. ==> Instead of one lone AI, you spin up a full team — coordinator, builders, reviewers, scouts - all working in parallel like senior engineers. They divide the work, own files, review each other’s code, and ship changes with almost zero chatter. Result? Complex tasks get done way faster and cleaner. That’s the future of getting stuff done. @bridgemindai 👊 As always, the comment section is yours. Have you tried multi-agent setups yet? Drop your wins (or fails) below. Let’s learn together. 📷 #DevOps #AI #Coding #BridgeSwarm #MultiAgent #VibeCoding #SRE
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DevOps Stuff's
DevOps Stuff's@devops_inside·
#DevOps Diaries #130 If I had to recommend ONE single AWS service you should learn first… my answer is always IAM. Without proper IAM, nothing else in AWS really matters. I was recently talking to a friend who strongly argued for VPC first. His point was is okay as VPC is important. But here’s the reality: You can build and run services without a custom VPC( lots of managed services ). But without IAM? You’re completely stuck. You can’t create resources, you can’t assign permissions, you can’t secure anything, and every single service becomes useless. IAM is the foundation of AWS security and access control. Everything else sits on top of it. So my strong advice: Don’t just “learn” IAM ==> Be a Master in IAM Understand: - Users, Groups, Roles & Policies - IAM Identity Center (SSO) - IAM Access Analyzer - Least Privilege principle - Policy evaluation logic - Resource-based vs Identity-based policies Trust me : the time you invest in mastering IAM will save you hundreds of hours of debugging weird permission errors later. What’s your #1 AWS service you recommend learning first? Drop it in the comments As always, the comment section is yours - correct me / drop your favourite devops stories, Let’s learn together. #AWS #Cloud #IAM #devopsinterviews #security
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Kacie Ahmed
Kacie Ahmed@Haezurath·
Your personal brand can get you a job. I’m not joking Drop a comment and I’ll give you advice/actionable feedback on how to improve yours
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DevOps Stuff's
DevOps Stuff's@devops_inside·
#DevOps Diaries #129 You’re setting up CloudFront and want to add a WAF on it for protection! You create the Web ACL in your usual region (us-west-2, eu-west-1, wherever you normally work) and try to attach it to the distribution. ---> You'll get error. “Invalid Web ACL” or “Web ACL not found”. WTF? CloudFront is global, right? Should work anywhere.!! Here’s the catch (and it bites everyone once): AWS only lets you attach WAF Web ACLs that were created in us-east-1 (N. Virginia) to CloudFront distributions. Even if your origin is in Mumbai or Frankfurt, the WAF itself has to live in us-east-1. Lesson: Always spin up your CloudFront WAFv2 Web ACLs in us-east-1. . Don’t waste 30 minutes debugging like I did last week Saves headaches, keeps your pipeline clean. As always, the comment section is yours — hit me if you’ve seen this, or drop your favourite devops stories, Let’s learn together. #AWS #CloudFront #WAF #DevOps #Cloud #SRE #devopsinterviews
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DevOps Stuff's
DevOps Stuff's@devops_inside·
#DevOps Pulse #115 Cloudflare quietly dropped a new Browser Rendering /crawl endpoint yesterday. With a single POST request to api.cloudflare.com/.../crawl you can start from a URL and it will: • Auto-discover the entire site (sitemaps + internal links) • Render pages using a headless browser • Return structured output in **HTML, Markdown, or clean JSON It runs as an async job, so you trigger it once and poll for results later. This basically replaces the usual stack of: Lambda + headless browser + crawler + queue + storage. Super useful for: • RAG pipelines • Website indexing • Automated documentation extraction • AI training datasets DevOps engineers no longer need to build a spider from scratch. #Cloudflare #DevOps #SRE #RAG #Automation
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DevOps Stuff's@devops_inside·
@Shruti_0810 Still needs engineers to design the systems ==> I dont understand this! so AI can't design a system?
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Shruti Codes
Shruti Codes@Shruti_0810·
Tech Jobs AI Can’t Replace Easily • AI Engineer (20 - 60 LPA) • Machine Learning Engineer (18–50 LPA) • Cybersecurity Engineer (10 - 40 LPA) • DevOps Engineer (10 - 35 LPA) • Cloud Architect (20 - 60 LPA) • Site Reliability Engineer (15 - 40 LPA) • Data Engineer (12 - 35 LPA) • Robotics Engineer (12 - 35 LPA) • Hardware Engineer (10 - 30 LPA) • Systems Architect (20 - 55 LPA) • AI Infrastructure Engineer (20 - 50 LPA) • MLOps Engineer (15 - 40 LPA) • Platform Engineer (15 - 40 LPA) • Embedded Systems Engineer (10 - 30 LPA) AI can automate tasks, but it still needs engineers to design the systems.
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DevOps Stuff's
DevOps Stuff's@devops_inside·
Scenario: AWS Cloud , Multi Account , Multi Region - Which IaC would you prefer ? (Fast growing startup) #devops #interview #aws
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DevOps Stuff's
DevOps Stuff's@devops_inside·
@danielepolencic The way which I like is, people create specialized agents and orchestrating it to do vibe coding , like one agent act as architect, another one only for strict PR review another for QA act- , then they orchestrate the flow, Boom!!!]
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Daniele Polencic — @danielepolencic@hachyderm.io
AI coding tools are getting faster. Some people run them directly on production, skipping reviews and checks entirely. Others build chains of requirements docs & architecture decisions. One camp says code is the artifact. The other says specifications.
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Ayaan 🐧
Ayaan 🐧@twtayaan·
Finally finished designing the infrastructure diagram for my EKS cluster setup. Spent quite a bit of time studying different architecture diagrams to get this right. The @livingdevops 3-tier architecture guide helped a lot while thinking through the design (link below). Main resources I’ll be provisioning: - VPC + subnets across 3 AZs - Internet Gateway & NAT Gateway - EKS cluster with worker nodes - Application Load Balancer - RDS MySQL (Multi-AZ) - EBS storage for Jenkins Once the infrastructure is ready, I’ll deploy the apps using Kustomize + Argo CD. Now it’s time to convert this architecture into Terraform manifests. If you’ve built something similar on EKS, I’d love to hear how you approached it.
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Ayaan 🐧@twtayaan

Been a while since I shared updates on my DevSecOps project..... here’s the progress 👇 Successfully built a complete CI/CD pipeline using Jenkins, Kustomize & Argo CD - Jenkins (CI) builds frontend & backend images - On successful build, image tag + component + env are passed to the GitOps updater - Kustomize updates the image tag in the Kubernetes manifests (GitHub repo) - Argo CD detects the change and auto-deploys to the cluster End-to-end GitOps flow working smoothly! Next up: Provisioning the infrastructure using Terraform. Will share the architecture once it's ready.

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Reads with Ravi
Reads with Ravi@readswithravi·
What’s a book you’ll never stop recommending?
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DevOps Stuff's
DevOps Stuff's@devops_inside·
#DevOps Diaries #128 @ECS tasks in dev, assigned a broad policy for S3 access to keep things simple. Seemed fine... until the task tried dumping logs to a bucket. Boom: "Access Denied" on every write. 😤 Why? The role had "s3:*" actions, but I forgot to specify the right resource ARN. AWS said "cool, you can do anything... just not to that bucket." Classic over-permission trap. Quick fixes that got it flowing: Tighten the policy: 1. Add "Resource": "arn:aws:s3:::appx-logs-bucket/*" so it only hits what you need. 2. Use IAM Access Analyzer: Scan for unused perms and weird access patterns before going live. 3. Test with least-privilege: Start minimal, add as you go- avoids the "fix by broadening" loop. Takeaway: Broad IAM is a ticking bomb. Nail the resources early, or you're debugging auth all day. What's your go-to IAM headache? Share below. #SRE #AWS #IAM #ECS #DevopsInterview
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