Was memorizing service names without understanding what they actually do in real scenarios. Kept failing practice tests and couldn't figure out why.
The shift that changed everything - understanding the why behind each service before touching exam material.
Passed 3 weeks after making that one change.
Hi,
I’m a backend dev with 3+ yoe.
I got a job with a small fintech startup (4 devs) where we would have to wear several hats.
They are going to prod next month and they will hire a consultant devops/security for helping out during the next three months.
I have been told I will shadow him with the idea I will own that part but the main responsibility will be backend development with Java.
The infra stack is AWS (EC2, S3, ECR, CodeDeploy) some terraform, grafana, Prometheus, etc
I’m new to AWS, I have used in a side project ECS, Cloudformation and some other stuff but it was using LocalStack.
Given the bast amount of resources available for AWS, any recommendations for getting up to speed? (I will join in two weeks)
Thanks
I’m currently building an AI product for an NGO, and one of the key requirements is deploying the entire system on Amazon Web Services (AWS). The challenge is that I have very little practical experience with AWS, and the ecosystem feels extremely vast and confusing for a beginner. Since this is a real-world project with actual deployment requirements, I want to learn AWS in a fast, structured, and practical way instead of randomly watching tutorials without understanding the bigger picture.
The project involves AI workflows, backend APIs, vector databases/RAG pipelines, authentication, storage, and scalable deployment. Because of this, I specifically want to learn the AWS services and DevOps concepts that are most useful for deploying AI applications in production. I would really appreciate recommendations for the best YouTube channels, courses, deployment tutorials, hands-on labs, roadmaps, or beginner-friendly resources that helped you learn AWS efficiently. If anyone here has experience deploying AI or RAG-based applications on AWS, I would also love to know what services and architecture you used, the common mistakes beginners make, and what concepts you think are most important to learn first.
My goal is not just to theoretically understand AWS, but to become productive enough to confidently deploy and manage this NGO project within a short time. Any guidance or resource recommendations would genuinely help a lot.
I will have an ec2 instance containing db server and api. How do i put https into the ec2 instance for free without an ALB.
The purpose is to access the ec2 instance from anywhere via https. I do not want to use ALB because it is out of my budget.
15% of cloud breaches per the DBIR are still misconfigs. public S3 buckets, open DB snapshots, overprivileged service accounts. Same three things weve been talking about since 2019.
CSPM tools exist. Block public access settings exist. The fix is literally a checkbox in most cases. So why are orgs still getting breached this way?
Ive started to think its not a tool problem. Its an ownership problem. Nobody wakes up in the morning thinking "I own the S3 bucket security posture." Its everyone’s problem which means its nobody’s.
So, who owns cloud storage security at your org? For those who solved this, what did it? Org structure change, policy automation, something else? Thanks all!!
Many people want to switch their career to Cloud Engineering, especially those working as:
Linux Admin
Network Engineer
System Admin
Application Support
SRE / Production Support
Desktop Support
Help Desk
QA Automation
BPO Technical Support
NOC Engineer
Most of us have 2 to 5 years of experience, but with only the current experience and daily tasks, it is difficult to switch directly into a Cloud Engineer role.
First, focus on learning cloud technologies properly. After that, try to work on real-time tasks and projects to understand how the industry actually works.
Once you gain hands-on experience with real-world scenarios, it becomes much easier to clear cloud interviews and move into a cloud career successfully.
Feel free to reach out me if you need any guidance.
We currently have $25K worth of AWS credits available and are offering them at an 85% discount to startups that can actually put them to use. These were originally intended for startup teams we were supporting, but unfortunately, a number of them never followed through or showed up. Rather than letting the credits sit unused, we figured it makes more sense to pass the opportunity on to other founders who are actively building and could use the cloud support. Great fit for startups running infrastructure, testing products, scaling apps, or trying to reduce AWS costs while they grow. Reach out if interested.
Planning it to sell for around 12-15K INR.
Got the voucher from an online hackathon.
In need of money for personal reasons.
If anyone is interested, please reach out to me.
Im a final year UG student, need money for college fee dues thing. Can’t ask family cuz we’re handling with other stuff right now, and can’t make up my mind to ask my parents.
Thank you for your time.
Asking for a friend…
AWS has officially announced the General Availability of Claude Platform on AWS, giving developers direct access to Anthropic’s native Claude Platform experience through existing AWS accounts.
This is pretty interesting because AWS is now the first cloud provider offering direct access to the native Claude experience without requiring separate Anthropic account management.
Some notable features available:
What stands out to me is the operational simplicity:
One important point AWS mentioned:
Customer data for Claude Platform on AWS is processed outside the AWS security boundary, so organizations with strict data residency/compliance requirements may want to evaluate that carefully. The service is already available across multiple AWS regions globally.
we onboarded ~10 more accounts into our AWS org over the last couple months and now security visibility is just gone.
we were relying on org level views before but now its a mess of manual switching between accounts or digging through Resource Access Manager (RAM) every time. tried enabling some cross account roles but that didnt fix the dashboard gaps. our setup is mostly native AWS tools plus a bit of CloudTrail lake queries, nothing fancy.
at this point it feels like the org level view just doesn’t hold once account count grows.
what’s actually working for you to keep visibility centralized at this scale?
appreciate any pointers.
AWS Cloud Practitioner Voucher for sale ₹4000!!
My univ gave me you can verify literally everything before buying, I've completed my exam I have an extra one.
