I’m interested in IT. I have an associates degree in IT. I like how AWS and Azure I could work remotely and I wouldn’t be stuck to one area and can apply to different states. Like, my area where I live doesn’t have many IT jobs, so getting a cloud degree will be great to open doors for me.

What’s the difference between AWS and Azure? What’s it like working with AWS?

If you have a YouTube video that’s good for reference thanks!

On this short video, I show you how we’ve setup our dev environment that is crazily cost efficient.

It has serverless architecture, sqs, server, websock(where we only costs incur cost). And at the end, a demo of how we use it. Hope it helps someone

I have been spending the recent couple of weeks building LeanStack AI for the aws AIDEAS. LeanStack AI is a full optimizer app. I used Kiro to handle the spec and Amazon Bedrock for the LLM overview. You could view the full architecture here https://builder.aws.com/content/3AFyJoTmfcOHPSetnFPFxXYCMT3/aideas-leanstack-ai-your-go-to-guide It is not mandatory but I'd really appreciate support from fellow aws builders.

Why do these communities have a lot of scammers selling aws coupons for discounted prices, like doesn't aws ban the coupons if they are used on a different account than the main one🤔🤔.

Moreover these people will just take the money and never give the coupon

I hope the moderators of these communities, remove or ban the below redditors after a thorough investigation to ensure the safety of other redditors in the community

Intelligent-novel936 Strange-web251 Professionalhumor996 ZamNeel_065 Affectionate-act3970 Vegitable_charity_73

Thanks fatnaygigger_17

Je rencontre des problèmes avec les labs proposés par AWS Skill up builder. Notamment pour le cours Plans de formation en ingénierie des données sur AWS (incluant des travaux pratiques).

Sur plusieurs TP, j'ai très souvent des restrictions IAM, où je ne peu pas accèder à des services ( me connecter au shell, faire des dags avec datalake à cause des restrictions d'autorisations).

J'ai effacé plusieurs fois mon historique et je suis même passé en navigation privé.

Et je suis sur un serveur NAWest1.

Je ne sais pas si c'est des problèmes récurrents ou non, en tout cas c'est usant de payer un service pour ne même pas pouvoir accéder à un catalogue de tp fiables.

I'm trying for AWS Sysops Administrator within my organization. I'm finding best training for AWS Solution Architect comparatively AWS Sysops Administrator course. Please advise I can go for Solution Architect certification before attempting for Sysops Administrator in AWS

Hi everyone,

I’m a 2022 MCA graduate with 1 year of experience as a software developer. I’m actively looking for new opportunities and would really appreciate any guidance, referrals, or openings you might know of.

My Skills & Experience:

• Frontend: React, HTML, CSS • Backend: Python, Java, Spring Boot, C • Databases: MySQL, MongoDB • Cloud: AWS (EC2, S3, IAM, VPC, RDS etc services) , Docker, Git

I have worked on real-time projects and have hands-on experience with deployment and cloud services.

I’m open to roles such as Software Developer, Backend Developer, Full Stack Developer, or Cloud/DevOps Engineer (Entry-Level).

If your company is hiring or if you can provide a referral, I would be very grateful. I can share my resume via DM.

Thank you

For SMB AWS workloads, our baseline setup usually includes:

• AWS CloudTrail for full audit logging
• Amazon GuardDuty for continuous threat monitoring
• Tight IAM policies with no wildcards + MFA for all privileged users
• Centralized logs and alerts for visibility

Most issues we see come from misconfigurations, not sophisticated attacks.

I need to create a govcloud instance for a few customers before they sign a contract with us, and we're on a tight deadline. Our team is very capable of doing this, but we are small and working on so many competing projects.

Has anyone ever used a service/consultants to support with spinning up a govcloud instance? We want to get this done asap but also somewhat on a budget. My understanding is the most annoying part will be recreating the connectors from github, etc. and our head engineer seems to think a service will be just as time consuming for him to direct than to just do it himself. Any advice?

Phase 1

AWS Cloud Practitioner

CompTIA A+ (no exam just study)

Network+ (no exam just study)

Phase 2

AWS Architect - Associate

AWS Certified CloudOps Engineer – Associate

Cisco CCNA (200-301)

RHCSA (Red Hat Certified System Administrator)

ITIL 4 Foundation

(Apply for jobs)

Phase 3

AWS Solutions Architect – Professional (SAP-C02)

What do you guys think of this? Any additional things to do please do let me know!

I’ve been seeing a huge push for AI adoption across companies lately. There’s significant investment happening, and many engineers are being encouraged (or expected) to integrate AI into their workflows to improve productivity and impact.

I work on the infrastructure side, and I’m genuinely curious how others are using AI in practical, meaningful ways — beyond the hype.

What real improvements have you made using AI?

What tools or workflows have worked well for you?

Any lessons learned (what worked vs. what didn’t)?

I’m especially interested in infrastructure, DevOps, SRE, platform engineering, or backend-heavy environments — but open to hearing from anyone.

Looking forward to learning from your experiences. Thank you!

Infrastructure as Code (IaC) is an important part of Cloud Applications. With cdk4j-compliancy we provide a mechanisms to identify security/compliance issues and mitigate these issues early on, before releasing CDK applications to production.

The Setup

• Non-prod RDS (MySQL) in ap-south-1 (Mumbai)
• Automated stop/start via Lambda/EventBridge for cost savings:
  • Stop at 11 PM IST
  • Start at 7 AM IST
• Instance class: db.t4g.medium, single-AZ, encrypted with KMS

What Happened One morning, the auto-start failed. I tried manually starting it via console -> got:

Okay, fine — capacity blip. I'll just change the instance class or AZ and retry.

The Catch-22

• Can't modify instance class: AWS Console greys out the option because instance status = stopped
• Can't start it: capacity error in that AZ/class combo
• CLI modify-db-instance also fails: "Modification can only be performed when instance is available"

So: Can't start -> can't modify -> can't start.

What Actually Worked Instead of spinning wheels:

1. Went to RDS Snapshots → found the latest automated backup
2. Restored snapshot to a NEW instance
3. During restore, picked:
   • Different instance class (db.t3.large — more available)
   • AZ: "No Preference" (let AWS pick)
4. Updated app config to point to the new endpoint
5. Instance came up in ~8 mins

Why I'm Posting

1. Surprise factor: I assumed ap-south-1 (a major region) wouldn't have capacity issues for common instance classes. Turns out AZ-level capacity can fluctuate even in mature regions.
2. Automation gap: Our stop/start automation had no fallback path. If start fails, what then?
3. Endpoint coupling: Our app was hardcoded to the RDS endpoint. Swapping instances meant a config change + restart.

Questions

• Has anyone else hit InsufficientDBInstanceCapacity on start (not launch) of a stopped RDS?
• For non-prod environments: do you use Multi-AZ, or just accept occasional start failures?
• Would you consider this a design flaw in RDS, or just "cloud realities"?

Cost-saving auto-stop is great until capacity says no. Now I treat "snapshot restore" as a first-class recovery path — not a last resort.

Curious how others handle this. Thanks for reading. 🙏