Skip to main content

Our case studies

See how we work and how we can help you.

How do we help with DevOps outsourcing?

Your team needs to develop, deploy, and scale - but there aren’t enough hands to do it.

Developers are stuck handling deployments, monitoring, and troubleshooting instead of building new features. DevOps engineers? If you have them, they’re overloaded. If you don’t, hiring takes months. And when key people go on vacation or get sick, everything grinds to a halt.

At CloudPanda.io, we solve these problems by offering technical support, monitoring, and a full DevOps team-ready when you need us. No gaps, no internal conflicts, no hiring headaches.

DevOps outsourcing team

Check what we’ve done for our clients

CPVLab.Pro, a marketing automation tool, needed to move from on-premises to the Amazon Web Services cloud.
cpvlab.pro
Free-Shoutcast.com, a streaming hosting platform, needed to migrate from dedicated hosts to the cloud.
free-shoutcast
Maildroppa.com is an email marketing system. They needed to move to the cloud for scalability and high availability
maildroppa
Shmuzy.com is a communication tool for children. It uses AI to monitor and prevent bullying in communications.
shmuzy.com

Who do we help?

Scaling startups & MVPs

Growing SaaS & tech companies

Software houses & agencies

Enterprise & regulated industries

Can’t find your exact case? Check our use cases!

Smart monitoring = Peace of mind

Problem

Our client had unpredictable traffic peaks. A new API instance once failed silently on AWS – no alerts, just downtime.

Solution

We implemented Prometheus + Grafana with real-time Slack alerts. Alerts fire when any resource usage crosses 80%, labeled as either warning or error depending on severity.

Result

No more blind spots. Their team gets instant, actionable notifications and can fix issues before users even notice.

Cloud infrastructure management
Technical debt in cloud infrastructure

Our client saved $4,762.54 in one month

Problem

Client’s internal team was overwhelmed with infrastructure tasks, but didn’t have the budget for a full-time DevOps hire.

Solution

They subscribed to our DevOps-as-a-Service model. It scales with workload - high-intensity weeks mean a higher plan, quieter months drop to a basic let’s stay in touch plan.

Result

They outsourced 50% of their DevOps work to two of our engineers, and saved $4,762.54 in one month.

CI/CD pipeline that just works

Problem

One of project's  deployment was manual, slow (4 days on average), and inconsistent.

Solution

We built a CI/CD pipeline using GitHub Actions, shared workflows, and secure automation. How does it work?

  • Code changes → Pull request
  • Automated unit tests (PHPUnit), security scans with TrivyHadolint
  • If green: auto-build and deploy to UAT (Kubernetes)
  • Manual acceptance → same flow runs for production

Result

Deployment time dropped from 4 days to 3 hours, with full traceability and security built in.

Terraform code introduction
Cloud infrastructure in AWS

Scalable architecture in Microsoft Azure

Problem

Client needed a cloud environment that could scale automatically based on current demand (various application traffic).

Solution

We designed and deployed the full architecture in Azure using KEDA for event-driven auto-scaling. Monitoring was a key part of the setup (see Smart Monitoring use case).

Result

The system scales up during traffic spikes and down when demand is low — saving both performance headaches and cloud costs.

Cloud infrastructure solutions

  • CloudPanda.io S.C.

  • VAT ID: PL5842818011

  • REGON: 522033432