Aleph One

Scaling agency operations with a DevOps team

Your agency's growth is capped by your ability to staff complex cloud projects quickly. You need immediate access to senior DevOps talent to win new deals, but building that capacity internally is too slow and rigid. So how do you plug into an elastic and expert team that scales instantly up and down based on demand?

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Software Development Company Cozy Office

Expertise without the overhead

As a venture studio, Aleph One's success depends on speed-to-market for its clients. Lacking the deep in-house expertise to architect a DevOps department from scratch, they faced a choice: delay projects to build an internal team, or find a partner who could provide immediate, expert infrastructure support. They chose to partner with us, ensuring their developers could build on a reliable foundation from day one.

Quick facts

Aleph One

Venture Studio & Dev Agency

Aleph One is a strategic partner for startups and enterprises, specializing in building cutting-edge software products and assembling dedicated development teams for their clients.

Check their feedback

60%

Reduction in deployment times

By implementing automated CI/CD pipelines, we streamlined Aleph One's development workflows, enabling faster and more reliable feature releases across their diverse portfolio projects.

The best couple Terraform + Dev Studio

We designed and implemented flexible, multi-cloud architectures using Terraform (IaC). This ensures consistent, automated infrastructure provisioning that can be tailored to each of Aleph One's clients.

"ITsyndicate has experienced engineers who were very flexible and quick to react, qualify, and help with all our requests."
Stanislav Synko

Stanislav Synko

CEO, Aleph One

What we did for Aleph One

Strategic architecture & automation

Aleph One needed to deliver complex, cloud-native solutions to its clients but lacked the in-house expertise to architect them from scratch. They required a partner who could not only design scalable systems but also automate their delivery to keep project timelines on track and ensure consistent quality. To achieve that, we started with:

  1. Defining strategic direction: We filled the internal expertise gap by providing high-level strategic guidance. We designed flexible, multi-cloud-ready architectures capable of supporting the diverse and unpredictable technical requirements of their existing and future clients.
  2. Automating to accelerate delivery: To unblock their developers, we implemented full CI/CD automation and provisioned infrastructure using Terraform (IaC). This standardization reduced project deployment times by over 60%, allowing Aleph1 to deliver client projects faster and with fewer errors.

Seamless operational integration

Acting as an external vendor can create friction and brand confusion in front of end-clients. Aleph One searched for a partner who could integrate so deeply that they became indistinguishable from their internal team, providing the reliability and responsiveness to protect the agency's reputation. So our work was focused on:

  1. Ensuring deep observability: To guarantee the quality of code delivered to production, we implemented a logging system using the ELK stack. Combined with our 24/7 support, this allows Aleph1 to proactively detect and resolve issues for its clients before they impact the user experience.
  2. Acting as a flexible, integrated team: We function as an elastic resource pool that scales up or down with the agency's pipeline. We integrate directly into their project teams, adopting their communication tools and processes to provide a consistent, white-label experience that eliminates the friction of a typical vendor relationship.

Scaling your agency with DevOps: FAQ

Because their high, fixed cost is a direct liability against your agency's project revenue. As your workload fluctuates, while a senior engineer's salary does not.

As the client noted, they hired experienced specialists whose "compensation was high, and our growth simply didn't fill their full capacity." This forced them to either pay expert engineers to be idle between projects, killing their profitability, or to avoid hiring them and be unable to take on complex work. The outsourced model converts this fixed overhead into a flexible, project-based cost.

By functioning as a flexible resource pool rather than a fixed headcount. This allows an agency to scale DevOps capacity up for new client onboarding or complex migrations, and then scale down during periods of lower demand.

This model aligns your costs directly with your revenue-generating pipeline. In the client's words, "working with an outsourced partner is a bit easier because the company is flexible... we can scale resources up and down as we please."

Initial challenges included integration failures and, at one point, a mismatch in engineer seniority. These are real-world problems that require honest acknowledgment and process improvement, leading to stricter protocols for seamless team and feedback integration.

Ideal partner functions as an invisible, white-label extension of the agency. The end-client should see a single, cohesive delivery team, which protects the agency's brand and client relationship.

This requires practical steps: using the agency's communication tools (their Slack, their Jira), adopting their branding in client interactions, and presenting a unified front on all calls. As the client stated, the goal is to be "consistent and... like one team."

  • Reliability & Stability: The infrastructure must be so stable that it becomes invisible. As the client put it, success is when "I don't hear from you at all... because when you are mentioned, it usually means some screw-up has happened."
  • Responsiveness: The partner must react quickly to requests and provide clear, efficient support channels.
  • Seamless Integration: The partner's team must integrate into the agency's workflows, not force the agency to adapt to theirs.
  • Technical Qualification: The engineers must have proven, relevant expertise for the specific tasks, avoiding the 'learning on prod as we go' problems.
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