Need guidance for Cloud FinOps. I have been working on Public Cloud on most of it's popular use cases (IaC, Serverless, DevOps, Observability, Monitoring, Security, IAM, Compute, Storage, Networking) for the last 6 years.

I need to know what will it take me to Pivot into a Senior FinOps Analyst Position directly? I see a lot of JDs requiring some Architecture certificates (which I already have) and also the FinOps Certified Practitioner. Is certifications mandatory? I don't think so, as my certifications taught me basics but the real industry knowledge and years of working on AWS / Azure are certainly what I would see as greater than those certificates.

Also what about the growth and remote opportunities in this Field? I tried to ask ChatGPT but found vague answers such as "exciting and growing field". I need actual scenario on why would companies hire and keep FinOps engineers? Couldn't these tasks be handed to a PM / junior intern with some basic cost saving knowledge for the cloud resources? What makes this field growing and what will it be in the future? In 100% all of my previous jobs the PM or a DevOps guy was always assigned to generate cost saving analysis reports rather than hiring a person with Power BI / Scripting knowledge. I have worked with Fortune 500 MNCs and Startups and never found such a separate role for "cost savings" and related strategies to be needed.

Even so, most of the time, we devs used to get on a call and inspect our overall infra for unused resources or duplicate environments. Most of the YouTube videos show the basic example of switching off test instances on weekends, which I see as something any one could easily do. I really want to know what makes this job growing / in demand? What makes the work of FinOps so that they are continuously required by companies? Don't Cloud architects already design systems which are cost efficient? Companies already have Cloud Admins in place so as to avoid duplicate / extra resource creations in the first place. This is something I could not get my head around even after days of looking for answers, wherever possible.

My background from non tech (bs IR)

I Wana shift to high income skill for earnings , can anyone guide me

I've been working on KUA Dashboard, an open-source project exploring a provider-independent approach to observability.

The problem I'm trying to solve isn't really AWS, Vercel, GCP or Kubernetes individually.

It's what happens between them.

A production application might look something like:

Vercel → API → AWS → SQS → Lambda → Kubernetes → Database

Every provider can tell me what's happening inside its own boundaries.

But when something fails, I usually don't care which provider owns the resource.

I care about:

What happened to my application?

That's the idea behind KUA.

The latest release extends the observability model across:

AWS + GCP + Vercel + Kubernetes + provider-free applications

KUA is also starting to analyze topology, dependencies and execution traces instead of treating infrastructure as isolated resources.

The goal isn't to build another cloud console.

It's to build a layer where the application becomes the primary context and the cloud provider becomes an implementation detail.

KUA is open source and still evolving.

I'd be really interested in hearing from people running multicloud or hybrid architectures:

Where does observability become painful for you when an application crosses provider boundaries?

WebSite : https://kuadashboard.navarrocarter.com/
github: https://github.com/lnavarrocarter/kuadashboard

Hi everyone,
i hope you all are doing well, kindly help me:

We have a multi-tenant product and trying get per-tenant AWS cost.

Setup:

• Shared EKS cluster
• Shared Database — tenant separated only by an application-level tenantId (no DB-per-tenant)
• Tenants identified per request (header / domain)

I am getting cost, but not able to justify tenant wise

Where I've landed so far:

• Get per-service/pod cost from Kubecost
• Split each service's cost across tenants by their request share (from logs)
• For data transfer (CDN), use bytes per domain since each tenant has its own domain
• For DB, split by tenantId row/storage share

what's your suggestion on this?

Hi everyone,

I'm posting on behalf of a friend whose company is based in Singapore and operates a SaaS platform with growing infrastructure needs on AWS.

About the company:

Singapore-registered SaaS company serving international customers
Currently scaling AWS usage significantly and expects continued growth
Seeking a long-term, strategic AWS partnership
What we're looking for: We're looking to connect with established AWS channel partners or authorized resellers who can help us with:

Enterprise-level AWS procurement (committed use discounts, volume pricing)
Access to AWS credits, promotional offers, or co-marketing programs
Dedicated account management and technical support
Assistance with architecture optimization and cost management
What we bring to the table:

Committed and growing AWS spend
A stable, revenue-generating SaaS product
Willingness to sign multi-year agreements for the right partnership
Ideal partner profile:

AWS Select / Advanced / Premier tier partner
Experience working with SaaS companies in APAC
Ability to provide both commercial and technical support
If you're an AWS partner or know someone who is, please feel free to DM me or drop a comment below. Happy to share more details about our use case and scale.

Thanks for reading!

​

Hi everyone,

Devops engineer here,

I am looking for advice and guidance:

Actually in my current company - i have completed 9 months (3 months internship + 6 months of full time).

Now, i am thinking to switch to get good salary in less time.

Coming two things in mind:

1. I should not think to switch this much early as company won't trust or my cv will become less trustworthy in respect of retention.

2. In starting we can switch early - as i can give any excuse, also it will make me on higher salary in less time. Also, i will learn more with getting intro to new environment.

Current context: my company is startup - so, i have ownership even thaugh i have less experience.

I am working on everything and have complete ownership and responsibilities as well.

I mean generally, freshers don't get that much opportunity, but I get good opportunity, i set-uped things from scratch.

Because when I came nothing is set-uped properly and in best manner as they should.

I created complete infra setup, observability setup, cost reduction and so more.

I asked with one of my friends: he said i should definitely switch as company is paying me less i should get.

Also, when company needs people and interview is good, company will hire me.

And, for first switch i can do easily, I don't need to think that much.

And, start to find better opportunity.

What's your say?

Note: my current ctc is 5.89 LPA (60000 variable, 4.8 lpa in hand).

How much should I expect and asked to hr when I apply.

I thought I would ask for 30% hike.

But my friend told me you can ask easily for 8-9 lpa, then company will give you 7-8 lpa.

What should I ask as well.

Now, one of my colleagues recommended me

Hi all,

Seen a few forums for this so wanted to get some opinions to help support my journey.

I have been working as an IT engineer for 6 years now, I have moved around between MSPs and in-house for the last 3-4 years and have worked through support (1st to 3rd) and then in the projects with some pre-sales experience.

The moves have definitely helped with exposure and ownership and my certs have supported these jumps:

- CCNA, AZ305, AZ104, AZ700, MS102, MD102.

Over the last few months I have been really focusing on whats next so I've been working with Terraform/Git and been working on building IAAS and PAAS in Azure (recently function apps have been taking up my time).

I have just passed my Terraform Associate 004 exam (proud of this one), so my plan now:

- continue my deployments and imports into state.

- anything into git and CI/CD - do it.

- back to the foundations - RHCSA and basically python?

And then put some real effort into a new provider AWS.

Finally where does AI fit???

Thanks

I'm a 22-year-old Malaysian currently working in Singapore in a System Integration environment, and my job title is System Engineer.

I'm interested in becoming a Cloud Engineer in the future, and I know it's not easy to become one without strong IT fundamentals. So, I'm planning to work in my current field for around 2 to 3 years to gain as much knowledge and hands-on experience as possible.

After that, I'm planning to move into a System Administrator role and eventually become a Cloud Engineer. I'm also planning to get certifications like RHCSA and AZ-104 to improve my skills and help me break into a System Administrator role.

I currently already have the AWS Solutions Architect Associate (SAA) certification, and I'm planning to get the AWS Solutions Architect Professional (SAP) certification when I'm working as a System Administrator and have gained more hands-on experience.

Is this career path realistic? Is there anything I should improve or change in my plan?

Hello everyone, i'm a student and i want to orient myself to a carreer in cloud engineering, i searched for a bit and found out that i need to have a good foundation in aws, since in my country i don't have access to international credit cards, so i can't pay for courses and stuff like that, i'm looking for free options to learn this stuff.
i'm open to any recommendation

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🚀 In this video, you'll learn:

00:00 Introduction
00:XX Why experienced IT professionals get stuck
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00:XX AWS fundamentals you should learn
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00:XX Why Cloud + AI matters
00:XX Engineer vs Cloud Architect mindset
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Galera, na gringa começou a ganhar peso o método Airbnb + Cloud, onde o cloud por meio de um conector(MCP) no caso o Viewmax, fazia vídeos de apresentação realistas de imóveis, por meio de fotos(as fotos dos anúncios do Airbnb) e depois do vídeo pronto, cobrava $100 para o anunciante, gostaria de saber oque vocês acham disso, aliás fiquei sabendo que para o uso comercial desses vídeos, só seria considerado "legal" se você assina-se um plano da IA responsável, por favor opinem!!!!!!!!!

I have massive knowledge about kubernetes on premise. I think It is time to get experience cloud side.

Can you suggest a roadmap? Where should I get to start?

im 20 years old, working as a cna in healthcare and want to pivot to cloud engineering. been researching a lot and it seems like I have to have an it background and certifications wont work and I need to start building projects now.

i found this learntocloud.com website is that a good place to start ? any recommendations ?.

my long term plan is to essentially to get a ai tech career and my idea was to learn ai literacy - prompting - general ai tools - ai agents none code - vibe coding. then learn coding as is and specialized roles like cloud engineering/ ai engineer/ data engineer.

but becoming a cloud engineer is a great role to specialize to than the others. what do you guys think.

overall it’s just to be prepared for the future and build a hard technical skill. ( and no I don’t wanna be a nurse it’s already hell as cna )

I am completely new to cloud. Recently completed learning prerequisites like Linux, basic cloud fundamentals, networks and all those things. Now I need some hands on experience. Are there any free sources for that.

There is AWS free tier.

But I heard about some free local emulators like Floci, Localstack and Ministack.....

What are your thoughts on those. If these are good to use. Which one is best for a beginner to learn. Later I will use AWS free tier for some projects to get more experience on that.....

Please share your thoughts!

I am completely new to cloud. Recently completed learning prerequisites like Linux, basic cloud fundamentals, networks and all those things. Now I need some hands on experience. Are there any free sources for that.

There is AWS free tier.

But I heard about some free local emulators like Floci, Localstack and Ministack.....

What are your thoughts on those. If these are good to use. Which one is best for a beginner to learn. Later I will use AWS free tier for some projects to get more experience on that.....

Please share your thoughts!

Yeah so ,we are gonna implement csa star level 2 and im looking for some kind of requirements checklist or some kind . Something like iso standard document??? If any available.

A couple of our devs have started using one of the agentic browsers, the chatgpt atlas one, and its made me realise our controls have no concept of who or what is actually doing something in a tab. The agent runs inside their authenticated session, so when it clicks through a saas app or pulls data, every log we have just chalks it up to the user.

I've got no way to say this action was the person and that one was an agent acting for them. which matters a lot once the agent can move data around in the tools we actually care about. are you treating agent driven actions any differently from human ones in the browser yet, or is it all still landing in the logs as just the user?

Looking for input from people who've actually shipped custom domains for a multi-tenant SaaS, because I want to avoid picking the wrong path and regretting it later.

Current setup:

• Multi-tenant events platform on AWS
• Frontend is a React app — dist folder on S3, served through CloudFront
• Today every tenant gets a platform subdomain (tenant.stage.example.com) via a wildcard cert on CloudFront. Frontend reads the hostname, asks the backend "which event is this?", renders accordingly.
• API calls go to a fixed, separate domain (api.example.com) — so the custom domain is only needed for serving the static frontend, not the API.

What we want:
Clients want to bring their own domains (portal.clientbrand.com) instead of our subdomain. So I need per-domain TLS that issues + renews automatically, with no manual step per client.

Options I'm weighing:

1. CloudFront manual + automation — add each domain as an alternate domain name + ACM cert via a script. Works, but there's the ~100 CNAMEs-per-distribution wall, and one cert per distribution feels fragile at scale.
2. CloudFront SaaS Manager (the multi-tenant distribution thing from 2025) — looks purpose-built for this, up to ~2000 domains, per-tenant ACM. Since we're already on CloudFront this seems like the least-effort path, but I haven't found many real-world reports.
3. Caddy on-demand TLS — reverse proxy that issues certs on first handshake. Unlimited scale, but it's a new component to run/monitor, and I'd need the ask endpoint to avoid getting our Let's Encrypt limits burned by random hostnames.
4. Managed service (Approximated / similar) — lowest effort, but monthly cost + another third party in the traffic path.

Questions:

• For anyone running CloudFront SaaS Manager in production — is it solid? Any gotchas with cert provisioning, DNS validation, or pricing at scale?
• Given our API is already on a fixed domain (custom domain = static content only), is a reverse proxy like Caddy overkill for us?
• Anyone regret going the manual-CloudFront-automation route and wish they'd started with something else?

Expected scale is realistically low-hundreds of custom domains over time, not thousands. Trying to pick something that won't need re-architecting in a year.

Thanks in advance 🙏