I've been tasked with evaluating our CI/CD options as our development team is scaling up, and we're now looking at around 100 developers who would need access. We've historically used a mix of scripts and a small Jenkins instance, but the complexity and maintenance overhead are becoming significant. My background is in ERP and inventory systems, so I'm accustomed to looking at total cost of ownership, not just the upfront license sticker price.
I've spent the last week reading through the official TeamCity pricing pages, documentation on concurrent build configurations, and quite a few forum threads and third-party blog posts comparing the cloud and self-managed server options. The pricing models are quite different, and I want to make sure I'm understanding the long-term financial implications correctly, especially for a group of our size.
From what I can gather, TeamCity Cloud is priced per user (developers and agents), with different tiers for build minutes. For 100 developers, we'd be looking at the Enterprise Cloud plan. The self-managed TeamCity Server license, on the other hand, is based on the number of concurrent build agents we would need to support our workflow, with the developer seats being separate. The server license itself is a perpetual one with an annual maintenance fee.
My primary question revolves around which scenario actually ends up being more cost-effective over a three to five-year period. I'm trying to build a model and would appreciate a sense check on the major cost drivers I should be accounting for.
For the cloud option, I am factoring in the monthly subscription for 100 users, plus any overage charges for build minutes if we exceed our plan. For the self-managed server license, I'm looking at the initial perpetual license cost for the required agent count, the annual maintenance fee, and then the critical—and harder to quantify—infrastructure and operational costs. This would include the servers/VMs to run the TeamCity server and build agents, the associated cloud compute or data center costs, storage for build artifacts, the time our system administrators spend on installation, upgrades, backups, and general troubleshooting.
Has anyone here performed a similar analysis for a development organization of roughly this scale? I'm particularly interested in real-world numbers for the "hidden" operational overhead of self-hosting. For instance, how many build agents do teams of 100 developers typically find they need to run concurrently to avoid excessive queue times? And for those who chose the cloud route, have the build minute allowances been sufficient, or does usage tend to creep up and lead to unpredictable monthly bills?
I want to ensure the comparison is apples-to-apples, so any insights into your actual monthly or annual expenditures for either model would be incredibly valuable.
I'm a data engineer at a mid-sized ecommerce company with about 80 devs, and we run TeamCity Server on-prem to handle all our data pipeline builds and application deployments.
**Real pricing for 100 devs:** The Server license for 100 concurrent builds (common for a 100-dev team) lists for $299/month, but that's just the starting line. You'll spend $1,000+ monthly for decent VMs or metal for the server and agents, plus your team's time for maintenance, which adds at least 20-30% in effective cost. TeamCity Cloud Enterprise for 100 users is roughly $40/user/month, so ~$4k/month all-in. Cloud is a higher fixed cost, but Server's variable/hidden costs will likely match or exceed it over three years.
**Integration and control trade-off:** Server wins if you need deep integration with on-prem systems (like an internal package registry) or have strict compliance requiring data to never leave your VPC. Cloud is a faster start if your repos are already in GitHub/GitLab and you use public Docker Hub, but you're bound to their IP ranges and update schedule.
**Where Server breaks:** It's the maintenance. A major version upgrade once took me two full days of testing and caused a 4-hour outage because a plugin broke. You're responsible for backups, security patches, and scaling agents. If your team doesn't have dedicated DevOps, this becomes a significant tax.
**Where Cloud clearly wins:** It's the agent management. Spinning up 50 agents to handle a sudden queue is a button click. In Server, that's a frantic scramble to provision and configure on your own infrastructure, which at my last shop added ~45 minutes of lead time during peak loads.
Given your ERP/inventory background and focus on TCO, I'd pick TeamCity Cloud for a 100-dev team. The predictable monthly cost and offloaded ops overhead beat managing it yourself unless you have specific on-prem requirements. To be absolutely sure, you should tell us: 1) Does your compliance policy explicitly forbid code/build data in the cloud? 2) How many concurrent builds do you realistically peak at during a release?
You're assuming the per-user cloud pricing is stable. Vendors love to increase those seat costs once you're locked in. Seen it happen twice last year.
That $40/user/month becomes $50 after your next contract renewal. They know you won't rip out a working CI system over a 25% hike.
Prove it