Software as a service

Delivering innovation and time-effectiveness for SaaS businesses

Upgrade your platform using the experience and knowledge of our certified cloud experts to build secure, scalable, and cost-effective platforms based on native cloud services

As SaaS experts

We fully understand how the as-a-service model differs from traditional, bespoke software. Whether you need an expert to consult, build, deploy or review your product, Chaos Gears is here to help, providing SaaS expertise and insights.
Let us empower your idea using the SaaS model together.

Saas services we provide

Decide which of our services best fit your needs:

DevOps for SaaS

Together, we deploy and operate your system

We start by building your DevOps roadmap. We could draft an initial architecture design through migrating your workloads to AWS, performing PoCs, application design, production deployment or setting up CI/CD as well as improving the observability of your multi-tenant product. We support your DevOps team and break any siloes between Development and Ops teams.

Well-Architected Review

Review of your entire system performed by experts

If your product is running on AWS already, our certified experts will perform a thorough review of your system’s infrastructure using Well-Architected Framework with a special focus on the SaaS Lens. Our additional eyes and a different perspective on your product can prove crucial in terms of improving the security, scalability and robustness of the software you’ve built.

Cloud Native Development

Focus on your customers and product entirely

You outsource the development and deployment parts to us. Our certified software development team will transform your idea into a fully-fledged SaaS product.
Additionally, your product is built in accordance with AWS Well-Architected Framework and SaaS Lens. You can reduce time-to-market and serve your product to any number of customers with no issues.

Business Intelligence Platforms

Use the mature MLOps platform

We can build your data-focused SaaS on AWS. We will improve and move the prototype of a BI product to AWS with a multi-tenancy focus. ML algorithms, interactive dashboards and widgets will be available to each tenant and will be generated for them automatically. Thanks to that, your research team could work on new analyses and features using a mature MLOps platform.

Machine Learning for SaaS

Automate processes to generate growth

We will help with building a solid bases for Machine Learning and Artificial Intelligence into the SaaS platforms. We entirely support and implement the AWS cloud-native services. Using Machine Learning and data-driven decisions processes, you will gain personalized and tailored content served to your tenants which result in new possibilities for the company and the tenants.

Cloud-Native Business Intelligence Products

Curious how others build such products?
Get our free PDF of a Solution Brief on cloud-native Business Intelligence Products. It will help you understand how utilizing AWS Cloud in BI solutions enables rock-solid products that are easy to build and ready to scale up.

Download the solution brief
Problems we solve

Top 9 technology considerations when implementing cloud-native SaaS

Together, we will help you to build a future-proof SaaS platform based on native cloud services, best practices and reliable tools


Bind user identity to tenant identity

Every user that accesses your application must be connected with one of your customers (a tenant). This tenant context has to freely flow around your system and be quickly accessible to ensure that each user sees only their instance of the product and their actual data. How do we inject that context at every layer of the infrastructure without bloating your software?


Onboarding processes and automation

Converting a potential customer into a tenant of our system should be as fast and simple as possible. You don’t want your clients to wait weeks or months before they get your product. How do we streamline and automate this process?

data isolation

Security through data isolation
and availability

Data is a crucial part of every product. You have to apply the tightest level of security to ensure that your customers can see only their data. At the same time, your product must access the data seamlessly and quickly. How do we reconcile the two?

compute isolation

Compute isolation options

Economies of the scale enable sharing as much compute power between your tenants as possible to evenly spread the infrastructure costs. However, due to compliance requirements, legacy software or various “noisy neighbor” type of problems, you may be forced to share no piece of infrastructure between your customers. Which model suits you the best?


Feature adoption, reuse and automation

Your tenants should be managed and operated through a single, unified experience. They should get the same features and versions of your product and be onboarded using the same process. A new deployment or a roll-out of a new feature should be global and require minimal operational overhead. How do we achieve that?


Support for multiple plans, customizations and plugins

Your product may have different pricing plans with different feature sets or their custom plugins. Some customers may require tenant-specific modifications of your product. How do we meet these one-off needs without creating a bespoke version of your product?

Right sizing

Adapt with right-sizing
and auto-scaling

SaaS applications tend to be spiky in terms of traffic. Sudden loads in traffic can happen due to marketing campaigns, being featured on Product Hunt or various random “my product just went viral” situations. You don’t want your product to stop working when it gets traction. But, you don’t want to spend millions of dollars on an unused, overprovisioned compute fleet either. Can we balance it?


Tenant-aware monitoring
and data-driven insights

Your tenants and their well-being is your top priority. You need to closely monitor the health of each product instance and be notified whenever your system malfunctions. Additionally, tenant-aware cost reports might be crucial to maintain expected revenue and budgets. Also, proper usage metrics on what your tenants do in the application will allow you to perform data-driven decisions on which features to invest in and which should be discontinued. How do we set that all up?

general technology

Cloud optimization and technology implementation

Many of the existing tools you’re using will support multi-tenancy - but a significant fraction of them will not. If you find out their limits at the later stages of the project, refactoring might take thousands of hours and consume millions of dollars, effectively killing your product. Are you sure your current technology stack fully supports building a SaaS?