What our engineers have shipped
Real platforms our team has designed and operated — the situation, the approach, and the outcome, not just the headline number.
Zero-downtime GKE migration
Existing services were spread across inconsistent environments and needed to move onto a unified, multi-region Kubernetes platform without a maintenance window.
Situation
Services running on a mix of environments, no single reproducible platform, migration risk high if done manually.
Approach
Architected multi-region GKE clusters, wrote Terraform modules to provision them, and built Jenkins CI/CD pipelines with Helm charts to migrate services incrementally behind Cloudflare DNS.
Outcome
50+ microservices migrated with zero downtime, giving the team one reproducible platform to build on going forward.
Autoscaling & cost efficiency
Cluster resources were statically provisioned, leaving compute idle outside peak hours and driving up cloud spend.
Situation
Fixed node pools sized for peak load, running 24/7 regardless of actual demand.
Approach
Rolled out Karpenter for dynamic node provisioning and KEDA for event-driven autoscaling of asynchronous workloads, then defined autoscaling and resource isolation standards with application teams.
Outcome
Annual cloud spend cut 20%, with cluster resource efficiency up 40%.
MLOps platform foundations
ML workloads were sharing infrastructure with general application traffic, causing unpredictable performance and contention for GPU resources.
Situation
No isolation between ML and application workloads; performance varied with unrelated traffic.
Approach
Stood up Kubeflow Pipelines via Helm for reproducible ML workflows and architected dedicated Kubernetes node groups for ML workloads, with GitOps delivery through ArgoCD.
Outcome
ML workload performance improved by 60%, with predictable isolation from the rest of the platform.
Multi-cloud infrastructure as code
Infrastructure needed to run across multiple cloud providers without duplicating effort for every environment.
Situation
Provisioning was manual and inconsistent across providers, slowing every new environment down to days.
Approach
Built modular Terraform patterns reusable across AWS, Azure, GCP, DigitalOcean, and OVH, backed by GitHub Actions, GitLab CI/CD, and ArgoCD-driven GitOps.
Outcome
Provisioning time cut from days to minutes, with consistent, auditable infrastructure across every provider.
Zero-downtime delivery pipeline
Deployments were manual and risky, making releases infrequent and stressful for the team.
Situation
Manual deployment steps meant releases were rare, high-risk events instead of routine work.
Approach
Deployed 30+ microservices using Jenkins, ArgoCD, and Helm, implementing blue-green and canary strategies with ingress controllers and service meshes.
Outcome
Deployment time cut 85% through GitOps, with zero-downtime releases becoming the default.
Security & compliance hardening
Infrastructure lacked continuous vulnerability visibility, relying instead on periodic manual audits.
Situation
Security posture was checked in point-in-time audits, leaving gaps between reviews.
Approach
Ran continuous OpenVAS vulnerability scanning and configured Elasticsearch/Kibana for security logging and threat detection against CIS benchmarks.
Outcome
Critical vulnerabilities reduced by 80%, with automated detection replacing periodic checklists.
Defense-sector cyber security
National defense infrastructure required continuous security monitoring and hardening to a standard well above typical enterprise IT.
Situation
Mission-critical systems with zero tolerance for undetected vulnerabilities or slow incident response.
Approach
6+ years as a Cyber Security Expert running vulnerability assessments, configuring Elasticsearch/Kibana for security logging, and hardening infrastructure against security benchmarks.
Outcome
A security posture built on continuous scanning and monitoring — the same discipline now applied to every Infinitum Ops engagement.
Enterprise-scale reliability
Kosovo's defense forces needed enterprise IT infrastructure supporting mission-critical operations for 2,000+ users, with no room for extended downtime.
Situation
Large-scale enterprise IT environment requiring a 99.9% uptime SLA with automated recovery.
Approach
Designed and administered datacenter infrastructure — 500+ Windows/Linux servers, Active Directory domains and Group Policies, automated backup and disaster recovery with failover.
Outcome
99.9% uptime SLA sustained across a decade of operation.
Enterprise & startup delivery
Different engagements call for different speeds — enterprise telecom infrastructure needs rigor, startups need velocity.
Situation
Projects ranging from large telecom-scale infrastructure to early-stage products with no infrastructure at all.
Approach
Our senior engineers have delivered infrastructure and platform work for organizations including Vodafone and Jobvite, alongside multiple early-stage startups, as engineers and contractors in prior roles.
Outcome
A team that moves at startup speed without dropping enterprise-grade rigor — whichever your project needs more of.
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