Cloud computing
We design, deploy, and manage scalable cloud architectures across on-premises, AWS, GCP, Azure, and hybrid environments.
Modern enterprises require cloud-native capabilities without sacrificing control over infrastructure, compliance, or data sovereignty. Our expertise in designing, deploying, and managing on-premises Kubernetes architectures bridges the gap between cloud agility and on-premises security, delivering scalable, resilient systems that meet stringent regulatory demands while optimizing costs.
Hybrid cloud integration
On-premises Kubernetes clusters often struggle with unpredictable traffic spikes, forcing organizations to overprovision hardware or face performance degradation. Traditional scaling models fail to balance cost-efficiency with real-time demand fluctuations.
Organizations managing hybrid Kubernetes environments face operational complexity from inconsistent tooling, fragmented monitoring, and manual certificate rotation across 5+ clusters.
Infrastructure as Code (IaC) for on-premises Kubernetes
Manual Kubernetes deployments on bare metal lead to configuration drift, with 68% of organizations reporting version mismatches between development and production clusters.
Stateful workloads on on-premises Kubernetes suffer from manual volume provisioning, leading to 30% storage overprovisioning and 45-minute SLA breaches during capacity crises.
Security & compliance architecture
Flat network topologies in on-premises Kubernetes expose sensitive workloads to lateral movement attacks, with 58% of breaches originating from compromised internal pods.
Manual compliance checks in regulated industries (HIPAA, GDPR) require 120+ staff hours per audit, and 45% of organizations fail spot inspections due to configuration drift.
High availability & disaster recovery
Database operators on Kubernetes experience 22% longer recovery times due to inconsistent snapshot schedules and manual backup validation.
Performance-optimized compute
Virtualized Kubernetes nodes often suffer from additional CPU overhead and inefficient memory access patterns, especially in high-throughput, low-latency workloads.
AI workloads waste 35% of accelerator capacity due to naive scheduling and lack of multi-tenant isolation.
Cost-optimized operations
Static node pools lead to 55% overprovisioning during off-peak hours, while reactive scaling fails to prevent 25% SLA breaches during traffic surges.
24/7 operating on-premises clusters incur $1.2M+ annual power costs for 100-node installations, with cooling consuming 35% of total energy.
Innovator, early adopter, and contributor indicate our level of engagement with each technology, whether we pioneered its use, embraced it ahead of the curve, or actively improved it through community contributions.
FluxCD
Flagger
ArgoCD
Kubernetes
Hadoop
Mesos
Rook Ceph
Knative
OpenFaaS
Kubeless
Fission
OpenWhisk
KubeVirt
Goldilocks
Partner with us to turn cutting-edge technologies into real-world advantage—reach out today to accelerate your innovation journey.
