SaaS Cloud Bills Spike With No Clear Explanation
Small SaaS founders are experiencing rapid and unexplained increases in their cloud infrastructure bills, often accompanied by log volume spikes and difficulty in identifying the root causes. They're seeking tools and strategies to gain visibility into their spending and proactively manage their cloud resources, often feeling overwhelmed by the complexity and lack of transparency.
SOURCES (60)
“Hard to provide an estimate with so little detail. The data is going to be your big killer you won't have enough licensing to go to SharePoint. You could stand up Azure files for archival data and leave it in cold storage. What are their…”
“I'd pick the first option for this setup. Keeping the Node API, Postgres, cron jobs, and workers in one region avoids needless database latency, and fixed plans make the bill easier to forecast. The usage-priced option is convenient, but its bill can wander. An edge runtime adds connection constraints this app probably doesn't need. I'd only take on raw cloud infrastructure if its extra controls were already a requirement.”
“I'd experimented with many different functions hosting (kind off "serverless apps"), but didn't completely understand the idea. Yes, if you have less than 100k, CF Workers looks interesting, but make them without JS is pain. If you can just buy VPS with 2 cores for less than $5/month, I rly cant understand the idea...”
“I only have experience with Render and Hetzner. Render is super easy. But it comes at a price. I switched to a Hetzner VPS because I wanted access to webhooks. And webhooks is currently only available in Render's $20/mo plan. My VPS costs less than half that and supports everything I want. But I had to spend a ton of time setting it up. So you just have to make a decision on whether money or convenience is more important to you.”
“Which hosting platform would you pick for a small production app: Render vs Railway vs Cloudflare Workers? I’m building something like a inventory management app and website — authenticated users, a Node/TypeScript API, PostgreSQL, background jobs/cron, and potentially a few thousand users over time. Currently considering **Render, Railway, and Cloudflare Workers**. For a production app where reliability, scaling, DB latency, and predictable costs matter, which one would you choose and why? Woul”
“I see. Thanks for the feedback! As mentioned we are also focusing on low latency and optimizing for it aswell, so this is helpful info”
“i run several unattended backends and the bill has never once been idle OS overhead, it's the 3am p99 spike and the hours after it. founders can't verify reclaimed RAM but they feel latency, so lead with what stops breaking instead of what stops being wasted.”
“Absolutely limits are the right foundation. The key is making them predictable and generous enough for genuine users, while adding rate limits and abuse detection so the free tier remains sustainable without punishing legitimate experimentation”
“Yeah, I agree. I went from implementing manually configuring, to configuring through a wizard, to configure by the A2A protocol”
“Makes sense. So you keep it hosted on your server and pulled up/running on other services?”
“That bandwidth pricing jump sounds like the classic "you grew too big for the cheap tier" situation. 65k downloads a month puts you in a weird middle zone, too big for hobby plans but not big enough to justify enterprise pricing Spotify's free hosting is tempting but their support being basically a forum and email queue is rough if you're not technical. Might be worth looking at hosts that do unlimited bandwidth on their mid tiers, a few of the bigger names have that now Also c”
“Hi - I’m looking to embed analytics features into my project. I am using Postgres for OLTP workloads but I know it’s not best practice for analytics. Additionally I’d like to store the user’s data durably not in service. Any idea on what to use? What have you used? I’d prefer something with an SDK where it just sets up for me and just works. Any feedback is appreciated! submitted by /u/Time-Philosophy-2199 [link] [comments]”
“A small rant, after painful user experience. I admit I visited it after a while spending on GCP space, but the console looks like it is either not maintained at all, or individual teams just throwing stuff at it and causing a mess.My simple workflow - I want to copy millions of objects from one bucket in us-east-1 to us-west-11. I can kick off the replication rule. but oh wait, there is no monitoring, unless you select it in edit rules. Even then, the experience is broken and I have now no idea”
“Small team just got hit with a much bigger bill than expected starting to look at alternatives but there is a lot of noise out there What did you move to and what made you trust it enough to actually switch and did you find anything that helped with actually diagnosing issues faster not just storing logs cheaper submitted by /u/vampire-seeker [link] [comments]”
“so you admit that it's wasteful Yes? The same way collecting coins or building a toy railway in your basement is wasteful. The same way your (and my) jellyfin server is wasteful. The same way my home assistant that lets me view my boilers water heat is wasteful. None of these serve a deeper purpose, create value for humanity or increase my income. My day job does, one hour of work pays me more than any subscription costs. My homelab takes more than an hour of work. By this logic I wouldn'”
“imo the framing is slightly off, the goal isnt to block burners, its to make the free tier cheap enough that abuse doesnt matter. If your per-request cost is high enough that a few fake users tank your budget, the free tier probably needs to offer fewer calls rather than fewer signups.”
“One thing that helped in my case was looking at what a user needs to provide before the expensive work can start. The costly part is pulling data from third-party portals using credentials supplied by the customer. A throwaway signup alone cannot trigger that work because there is no portal account connected yet. This keeps casual abuse away from the costly calls without adding another signup step. This only applies when the product has a genuine prerequisite like that. If an expensive call runs”
“[Not self-promo - genuinely looking for input/feedback here] I think this is something a lot of companies deal with, not just the big ones. Outages in Azure and AWS happen regularly. Say your blob storage in a specific region goes down and your team isn't around, do you have anything automated to spin up a replacement resource in another region, or even another cloud provider if it's a platform-wide issue? I know provisioning the resource is only part of the problem (some stateless resou”
“Had this happen once but as a fully fledged replacement voip system for the enterprise, imagine my surprise when some guy turns up to deploy half a dozen VM machines into a local government organization. Problem was there was no accountability or financial constraint, being in the energy sector. An absolute clusterfuck.”
“that's a really good way to frame it, wish I'd thought about it in those terms before picking Realm. would've been an obvious red flag, sync was never how they made money. it's the reason onebase just deploys as a normal service on your own infra instead of being another thing to depend on”
“Got bitten by something similar with a different vendor. The pattern I noticed is that the features most likely to get axed are the ones that don't generate direct revenue for the provider. Sync was always a user-acquisition play for Atlas, not a profit center on its own, so when MongoDB needed to cut it was an obvious target. Doesn't mean you should avoid managed services entirely. Just pay attention to whether the feature you depend on is core business for the vendor or a growth experi”
“I've heard the "engineering doesn't care about cost" problem come up quite a bit, but I'm starting to wonder if that's actually the right diagnosis. If an engineer can see latency, errors, CPU, memory and availability for their service, but has no idea whether that service costs $500 or $50,000 a month, can we really expect cost to factor into their decisions? What have teams done to give engineers enough cost visibility to make better decisions without turning every en”
“I switched from Tailscale to NetBird for these reasons: 1) open source 2) I wanted to be in full control and not have someone else’s servers involved (I’m aware of headscale, but it’s reverse engineered and I just felt if I was going to redo it all, to go with a purpose built solution from the creators). 3) access control in NetBird is via a GUI rather than code. So much easier to assign what peers get access to which other peers and resources. 4) Reverse proxy à la Cloudflare Tunnels. I think T”
“Every time weve done a stack audit weve found at least one tool that was only there because it solved a problem 2 years ago. The savings are nice but cutting down on vendor overlap and support headaches is the bigger win”
“Owning the comute is the way to go. I have been burnt by these cloud providers so many times, that I have stopped trusting them. Only thing I can trust is something I can control. Hetzner or baremetal is the way to go.”
“My comment was based solely on a migration cost study. I have not run this investigation after a real incident.”
“what's the stack you used for this, curious about how you handle the ingestion side when the data source goes funky for a bit”
“I don't really disagree. Charging companies for SSO is one of the few monetization levers that doesn't tax hobbyists, and I'd much rather projects do that than go closed source or rug pull the license later. The distinction I care about is gated from day one versus taken away later. Grafana putting SAML in Enterprise from the start is just a business model, you know what you're adopting. Planka pulling OIDC out of Community in a point release, where updating deactivates your exis”
“Yeah, that’s fair. I probably over-engineered the infrastructure a bit for such an early-stage product It’s around $20–25/month for the app+database right now. Not a huge amount of money, but it felt silly paying that before I even knew if anyone wanted the product. I’m probably going to move it to a small VPS for now and reconsider managed hosting once I actually have users.”
“Render is $7 and another $10 or so for database as I recall. What’s so expensive about it? Is the load so high with zero users that you’re going to blow past $20 per month somehow? Seems like an architecture problem if so.”
“Hey everyone, we're looking to migrate a few production workloads and self-hosted apps away from our current cloud setup. Between rising monthly costs (like what the hell) and weird CPU throttling during peak hours, we need something significantly more predictable. Preferably with solid European server locations, specifically looking for good peering across the UK and mainland Europe. I need reliable NVMe storage, true root control, and solid Windows VPS support since two of our legacy inter”
“Well, now that I have read it: - Loki: false. I have Loki running at 200MB on my laptop. The 1GB in docs is for test environment - Nextcloud: SQLite is pretty good even for numerous users. 3 is very low, even for professionals using it daily at the job. 4GB is also a lot for 3 users... - Grafana + Prometheus: 8GB of RAM. Again, like Loki, entirely dependent on what you do. Grafana is very light, Prometheus too but if you send millions of time series, sure you need more. For a lab, 8 GB is totall”
“Thanks! I didn’t know about the AWS free trial. I’ll look into that and Railway too. $5/month sounds a lot more reasonable for something with no users yet”
“AWS has a free trial on t4g.small instance types until Christmas. Depending on what your app resource requirements are, that can go pretty far. Front your ipv6 instance with Cloudflare and save a couple bucks on the ipv4 address. You can spin up Postgresql and your app. Either do local docker or deploy straight on the ec2 instance. Railway also has a pretty slick deployment option with a one month or 5 dollars in credits option and then you can do one of the paid plans after that.”
“Every comparison article stops at the recommendation. "Use Grafana instead of Datadog." Great — and then nothing about what running Grafana actually costs you at 3am on a Sunday. So I wrote the other half. 74 tools, and for each one: what the docs claim it needs next to what it actually needs, real monthly cost, how long setup takes, roughly how many hours a month it'll eat, the one thing that catches everybody, and a "don't self-host this if..." section. What surpris”
“I’m getting close to deploying a SaaS project I’ve been working on, and I was planning to use Render because it seemed like the easiest option. But once I started adding up the cost of the web service, database, etc., it got more expensive than I expected, especially for something that basically has no users yet lol. I’m curious how other solo devs are handling this. Are you using Render, Railway, Fly.io , a VPS, or something else? I don’t mind paying once the project has users, but paying a dec”
“Cost Explorer grouped by Usage Type is the fastest first check. Filter to networking usage types and look for a step-change in DataTransfer-Regional-Bytes, DataTransfer-Out-Bytes, VpcEndpoint-Bytes, or NatGateway-Bytes. That narrows it to a specific transfer class within a minute. If the step-change is real, the CUR export into Athena tells you which resource ID is driving it. Group by resource_id and operation to spot the specific NAT Gateway, VPC endpoint, or S3 cross-region call. VPC Flow Log”
“Grimmory is running with Java, bookorbit is running on nodeJS. IMHO NodeJS has a smaller footprint. I am also running Bookorbit and it runs pretty stable, no problems.”
Right now, backoff timing is fixed. Exponential backoff capped at 30s
“Cloud Run is a fine choice for a FastAPI container, it scales to zero so a personal project costs close to nothing. Put the React build on Cloudflare Pages or Firebase Hosting and just point it at the Cloud Run URL, that split is cheap and easy to reason about.”
“The $80 incident is a real problem, but I wonder if the integration point explains the setup drop-off. If the HTTP step runs only at the end, a runaway or repeatedly successful loop may keep spending before StackPilot sees a completed run—or never reach the step at all. Do you support a start/end pair, provider-usage polling, or a hard cumulative budget across executions? That distinction would be the main trust signal for me.”
“If you're building a SaaS and paying for a VPS just to run your backend, database, Redis, etc., here's a setup I've been experimenting with: Oracle Cloud Free Tier VM (2ocpu & 12gb RAM) + Dokploy You can use Oracle's Always Free resources to run a VM and install Dokploy on top of it. From there, you can deploy pretty much your entire backend stack: 🖥️ Backend / API 🐘 PostgreSQL / MySQL 🔴 Redis ⚙️ Background workers ⏰ Cron jobs 📦 Other Docker services And the nice part is”
“Same for me. My setup is all virtualized in a single server. When I setup something, I usually begin by checking how much of a spaghetti it is. Github has made me dislike SWE more than it should.”
“at your size the deciding factor isn't price, it's what happens when nobody is using it. cloud run scales to zero and a cold python container takes a second or two to answer, so the spa feels broken to the one person you sent the link to. set min instances to 1 to avoid that and you are paying for a vps with more billing dimensions. we left a $340 a month setup running for a side project with four users for most of a year, purely because nobody wanted to touch the deploy. whatever you pi”
“that's awesome. how did it turn out in practice? did feeding the logs to an LLM actually save you time? Im slightly worried i might be over engineering”