Is Puzl related to GitLab Inc. or GitHub Inc.?

No, Puzl operates independently of GitLab Inc. and GitHub Inc. "GitLab" is a registered trademark of GitLab Inc., and "GitHub" is a registered trademark of GitHub, Inc. We use these names with proper acknowledgment.

RunMyJob | puzl.cloud

Q: I am located in the EU. How does EU location affect pricing and VAT application?

All prices do not include EU VAT. If you're located in the EU: 1. All prices above are listed in USD, but for EU residents, the prices are the same numbers in EUR. 1. Puzl Cloud is required to charge VAT on sales of electronic services to non-business customers (B2C) in the EU. 1. Puzl Cloud is required to charge VAT on sales of electronic services to business customers (B2B) in Estonia. 1. Puzl Cloud charges local VAT, unless you have a valid Registration Number associated with VAT. 1. All VAT collected from customers will be reported to the local tax authorities under the EU simplified VAT registration regime known as the Mini One Stop Shop (“MOSS”).

Q: What execution environments do you support?

Currently, we support only Linux x86-64bit environment for executing jobs.

Q: Can I run Docker with Puzl's CI Runners?

Yes. The service is optimized to run Docker out of the box without requiring any changes in your `.gitlab-ci.yml` or `.github/workflows.yml`. Whether you're using GitLab or GitHub, you can seamlessly run Docker with Puzl's CI Runners.

Q: Are jobs running in an isolated kernel?

Yes, all jobs run in an isolated kernel, ensuring both security and performance.

Q: What kind of CPU cores are allocated for jobs?

We allocate shared CPU cores for your jobs. However, if you opt for the Enterprise package, you have the flexibility to request exclusive CPU cores. Do note that when exclusive CPU cores are allocated, they are billed based on the requested allocation, irrespective of momentary usage.

Q: What settings do I need to make in my jobs to run them on Puzl?

Puzl is fully compatible with your current setup, regardless of the GitLab or GitHub you use. - For GitLab CI, no changes are required in your existing `.gitlab-ci.yml` file. - For GitHub Actions, you’ll need to set up the `runs-on: puzl-ubuntu-latest` or needed Ubuntu version in your `.github/workflows.yml`.

Q: Do you support any job providers other than GitLab and GitHub?

Currently, we support GitHub and GitLab jobs. Expanding to other CI/CD platforms is on our roadmap. If you have a specific CI/CD platform or engine in mind or are keen on seeing support for a particular one, please [let us know](mailto:support@puzl.cloud). Your feedback might influence our priority list!

Puzl's pipeline jobs beat ordinary cloud instances due to burstable compute resources: only pure resource consumption is paid.

See pricing

up to

2x faster^*

up to

5x cheaper^*

^* Comparison based on
the benchmarks below against
GitLab.com SaaS runners.

Each pipeline job is boosted with wide CPU and memory limits, but only real usage counts.

CPU usage

Memory usage

Effective momentary spending on Puzl

Cloud instance limits on other platforms

Ineffective constant spending

Job resource limits on Puzl

CPU usage

Memory usage

Effective momentary spending on Puzl

$0.00052$0.000011$0.004$0.0029$0.000011$0.00027

Cloning repository

Launching build

Packing Docker image

* The chart depicts a hypothetical pipeline job containing typical stages.

Job runtime

Do not pay for the resource limits during idle time.
Puzl counts cpu-seconds and memory GB-seconds only when your job is actually utilising them.

Puzl is made for engineers by engineers. We know how important the performance metrics are.

Here is the comparison of Puzl pipeline jobs against other platforms in various benchmarks.

Building Material UI
components library

puzl.cloud

Free

4m 21s | $0.0215

Business

4m 21s | $0.0215

Business
+cache

2m 36s | $0.0144

GitLab.com SaaS Runners

4 vCPU
16 GB

6m 30s | $0.13

4 vCPU
16 GB
+cache

5m 30s | $0.1101

8 vCPU
32 GB

5m 6s | $0.153

8 vCPU
32 GB
+cache

3m 53s | $0.1167

Digital Ocean Droplet

4 vCPU
8 GB

11m 13s | $0.0714

Building
Linux Kernel

puzl.cloud

Free

2m 49s | $0.0228

Business

2m 22s | $0.019

GitLab.com SaaS Runners

4 vCPU
16 GB

8m 2s | $0.1606

8 vCPU
32 GB

4m 29s | $0.1343

Digital Ocean Droplet

4 vCPU
8 GB

10m 49s | $0.0714

Building WordPress
Docker image

puzl.cloud

Free

2m 19s | $0.0035

Business

2m 19s | $0.0035

GitLab.com SaaS Runners

4 vCPU
16 GB

2m 36s | $0.052

8 vCPU
32 GB

2m 36s | $0.0775

Digital Ocean Droplet

4 vCPU
8 GB

4m 7s | $0.0714

Results of all platforms may vary based on factors such as network activity, package registry availability, and more.
For Digital Ocean Droplet benchmarks, the official GitLab Docker Machine executor was used.

Say goodbye to platform lock-in!

The transition from your current runners requires no additional settings in your jobs.

Security and speed are not a trade-off

Each pipeline job operates within its own light-weight virtual machine, booting up in a few seconds.

Puzl is an efficient execution layer, designed to speed up and scale your pipelines without requiring DevSecOps expertise.

Choose your optimal Plan

Free

€0/month

1 integration

12vCPU and 32GB of memory per job

10 concurrent jobs

Per usage price for resources

CPU

Included

400 vCPU-minutes

vCPU-second over included

€0.000008

Memory

Included

800 GB-minutes

GB-second over included

€0.000004

Business

€50/month

3 integrations

48vCPU and 96GB of memory per job

Unlimited concurrent jobs

Per usage price for resources

CPU

Included

2000 vCPU-minutes

vCPU-second over included

€0.000008

Memory

Included

4000 GB-minutes

GB-second over included

€0.000004

Flexible Cloud Storage

Included

10 GB

GB-second over included

€0.00000006

14-days trial

CPU

400 vCPU-minutes

Memory

800 GB-minutes

Flexible Cloud Storage

10 GB

Enterprise

By Request

Compare features	Free	Business	Enterprise
Dynamic load-based billing: pay for CPU-seconds and memory-seconds actually utilized by your process
Each job is running in its own clean, isolated virtual machine
Maximum concurrent jobs	10	unlimited	unlimited
vCPU allocated for each job	12	48	custom
Memory allocated for each job (GB)	32	96	custom
Flexible Persistent File Storage included (GB). Use it to share any data among your jobs.	0	10	custom
Job cache, ready to use with your job provider (GitLab, GitHub, etc.)
Use GPU in your jobs
Integrations (use them to isolate different teams, projects or organizations)	1	3	custom
Job runners per integration	1	3	custom
Manage your runners via dashboard or declarative API
Ticket-based support		1 business day	Priority support
Dedicated nodes for extra isolation of your workloads
Choose the region to run your jobs
GitLab CI
Maximum service containers per job	2	10	custom
Ephemeral storage allocated for each job (GB)	100	100	custom
Interactive Web Terminal, allowing real-time debugging of pipelines in your GitLab dashboard
GitHub Actions
Ephemeral storage allocated for each job (GB)	150	150	custom
GitHub environment fully compatible with the official GitHub Actions runners
Coming soon
Local Docker layer cache for even faster jobs
MS Windows execution environment
ARM-based compute nodes

Have questions?

I am located in the EU. How does EU location affect pricing and VAT application?

What execution environments do you support?

Can I run Docker with Puzl's CI Runners?

Are jobs running in an isolated kernel?

What kind of CPU cores are allocated for jobs?

What settings do I need to make in my jobs to run them on Puzl?

Do you support any job providers other than GitLab and GitHub?

Run your CI builds faster and cheaper

Each pipeline job is boosted with wide CPU and memory limits, but only real usage counts.

Puzl is made for engineers by engineers. We know how important the performance metrics are.

Say goodbye to platform lock-in!

Security and speed are not a trade-off

Choose your optimal Plan

Have questions?