Telecom Kubernetes for 5G Core, RAN & the Network Edge
Telecom networks demand carrier-grade reliability at a scale most cloud teams never encounter. We build Kubernetes platforms for CNFs, 5G core and RAN workloads, and edge fleets spanning thousands of sites.
Talk to an engineer who knows telcoTelecom Infrastructure Demands Carrier-Grade Kubernetes
Telecommunications is undergoing the most significant infrastructure shift in its history: the move from purpose-built network appliances to cloud-native network functions (CNFs) running on Kubernetes. 5G core, RAN, IMS, and edge compute workloads that once ran on dedicated hardware now run as containerized, disaggregated software — which means the Kubernetes platform underneath them inherits the reliability, latency, and security requirements that used to be someone else's problem. A dropped call, a signaling-plane outage, or a latency spike at the edge doesn't show up as a support ticket; it shows up as a network outage affecting subscribers, enterprise customers, and — increasingly — public-safety and government traffic riding the same infrastructure.
THNKBIG is a US-based, vendor-neutral Kubernetes platform engineering firm working with wireless carriers, fixed and cable operators, MVNOs, and telecom equipment vendors building cloud-native infrastructure. We design the platform layer beneath 5G core network functions, O-RAN-aligned RAN components, and edge compute — the CPU pinning, NUMA-aware scheduling, SR-IOV and DPDK networking, and multi-cluster fleet management that CNF vendors assume exists but few operators have built and operate well in-house. Unlike a network equipment vendor, we're not selling you a locked-in NF stack; unlike a generic cloud consultancy, we understand why a telco can't treat 5G core the way a SaaS company treats a web app.
Whether you're a Tier 1 or Tier 2 operator standardizing a fragmented edge Kubernetes footprint, an MVNO building 5G core on public cloud, or a network equipment vendor whose CNFs need a reference platform architecture your customers can actually run, your Kubernetes infrastructure has to be engineered for carrier-grade availability and multi-cluster scale from day one. We've helped operators consolidate sprawling, inconsistently governed edge clusters into a single fleet-managed platform, implement zero-trust segmentation between network functions, and design GitOps pipelines that push a change to thousands of edge sites with the same rigor as a single cluster. Our senior, US-based platform engineers — see our leadership team — have delivered Kubernetes platforms for regulated, critical-infrastructure environments where "good enough" isn't a real option.
Telecom-Specific Kubernetes Solutions
5G Core Network Functions on Kubernetes
Containerized 5G core functions — AMF, SMF, UPF, PCF, and the rest of the service-based architecture — bring enormous operational flexibility, but only if the Kubernetes platform underneath is engineered for them. We build the networking (Multus, SR-IOV, DPDK), scheduling (topology-aware placement, CPU pinning, huge pages), and service mesh patterns that vendor-certified 5G core CNFs require, so your NF vendors' reference architectures translate into a platform your team can actually operate and scale.
O-RAN & Cloud-Native RAN Infrastructure
Disaggregated, O-RAN-aligned RAN architectures push distributed units (O-DU) and centralized units (O-CU) onto Kubernetes at the edge, with timing and latency constraints that most cloud-native tooling was never designed for. We design the platform substrate beneath RAN workloads — precision timing support, real-time kernel considerations, and topology-aware scheduling — so RAN software vendors' latency budgets are actually achievable in production.
Multi-Cluster Edge Fleet Management
Telecom operators run Kubernetes across central data centers, regional edge sites, and far-edge cell locations — often thousands of clusters with inconsistent connectivity and no shared operational model. We design fleet-management architectures with a central control plane, GitOps-driven declarative rollout, and zero-touch provisioning, so a security patch or CNF upgrade propagates consistently across the entire fleet instead of becoming a site-by-site manual project.
Ultra-Low-Latency & Carrier-Grade HA Engineering
Signaling-plane and user-plane network functions have latency and availability requirements that dwarf typical enterprise SLAs. We engineer for five-nines-class reliability: multi-region and multi-cluster active-active designs, automated failover, chaos-tested disaster recovery, and infrastructure-level performance tuning that keeps jitter and tail latency within the tight budgets carrier-grade workloads demand.
Purpose-built for telecommunications
Cloud-Native Network Functions
We design and operate Kubernetes platforms purpose-built for CNFs — with the CPU pinning, huge pages, and SR-IOV/DPDK networking that virtualized network functions require to hit carrier-grade performance targets.
5G Core & RAN on Kubernetes
From containerized 5G core network functions to O-RAN-aligned distributed and centralized units, we build the Kubernetes substrate that telco NF vendors certify against — and that your team can operate long after we leave.
Edge & Far-Edge Fleet Management
Telecom operations span thousands of cell sites, central offices, and far-edge locations with constrained connectivity. We deploy lightweight Kubernetes distributions and GitOps pipelines that manage fleets at scale from a single control plane.
Zero-Trust & Data Sovereignty
Telecom infrastructure is critical infrastructure and a high-value target. We implement zero-trust network segmentation and in-region data controls that satisfy carrier security requirements and national data sovereignty obligations.
Why Telecom Operators Choose THNKBIG
Telecom technical teams choose THNKBIG because we speak the language of network functions, not just containers. We know the difference between a Kubernetes platform that runs a stateless web service and one that has to host a UPF with strict packet-processing latency budgets. When your NF vendor's reference architecture assumes SR-IOV and topology-aware scheduling, we've already built that layer — and when your economic buyers ask what happens to opex if you standardize your edge fleet instead of managing it site by site, we have a straight answer grounded in platform engineering, not a sales pitch for a locked-in NFVI stack.
Our team is senior, US-based platform engineers, and we design platforms your team owns — vendor-neutral, no lock-in, no dependency on us to keep operating it. We've helped operators consolidate fragmented edge Kubernetes footprints into a governed fleet, implement zero-trust segmentation between network functions, and build the GitOps pipelines that make fleet-wide changes safe and auditable instead of a manual, site-by-site fire drill.
For carriers, MVNOs, and telecom equipment vendors building cloud-native network infrastructure across the United States, THNKBIG is the Kubernetes platform engineering partner that understands both the reliability requirements of the network and the fleet-scale operational reality of running it. We deliver platforms that satisfy network engineering and give your economic buyers a clear, de-risked path off appliance-based infrastructure.
National wireless operator consolidates fragmented edge Kubernetes fleet
National Telecommunications Operator (name under NDA)
The Challenge
A national wireless operator had independently provisioned Kubernetes clusters across regional edge sites with no shared GitOps model, inconsistent CNF placement policies, and no single pane of glass for fleet health or security posture.
Our Approach
- Audited edge and core clusters for consolidation and standardization opportunities
- Designed a fleet-management architecture with a central control plane and GitOps-driven rollout
- Migrated CNF workloads with staged, zero-downtime cutovers
- Implemented zero-trust network policy and mTLS between network functions
- Deployed unified observability across core, edge, and far-edge tiers
Outcomes
Standardized
Fleet-wide GitOps rollout
Reduced
Per-site operational overhead
Improved
CNF onboarding velocity
Zero-downtime
Migration cutover
Outcomes vary by environment; references available on request.
Frequently asked questions
Can you help us run 5G core network functions on Kubernetes?
Yes. We design Kubernetes platforms for containerized 5G core functions — AMF, SMF, UPF, and related control- and user-plane components — including the networking (SR-IOV, DPDK, Multus), scheduling, and service mesh patterns that vendor-certified 5G core NFs require to run reliably in production.
What's your experience with O-RAN and RAN workloads on Kubernetes?
We work with operators and vendors deploying O-RAN-aligned distributed units (O-DU) and centralized units (O-CU) on Kubernetes, including the strict timing and latency placement requirements RAN workloads demand. We design the platform layer beneath the RIC and RAN applications, not the RAN software itself.
How do you manage Kubernetes across thousands of edge sites?
We deploy lightweight, edge-optimized Kubernetes distributions with a fleet-management control plane and GitOps pipelines, so a single declarative source of truth drives rollout across every site. Our architectures support zero-touch provisioning, disconnected operation, and bandwidth-aware synchronization for far-edge and remote locations with limited connectivity.
How do you deliver carrier-grade reliability on Kubernetes?
We design for failure at every layer: multi-region and multi-cluster high availability, automated failover, chaos-tested recovery procedures, and performance tuning (CPU pinning, huge pages, NUMA-aware scheduling) that keeps latency and jitter within the budgets carrier-grade network functions require.
How do you handle data sovereignty and cross-border requirements?
We architect platforms that keep subscriber and network telemetry data within required regions or countries while still supporting a unified, global fleet-management and observability layer. This is a common requirement for operators serving multiple regulatory jurisdictions or government/defense customers.
What does zero-trust security look like for telecom Kubernetes environments?
We implement network segmentation and mutual TLS between network functions using service mesh and Kubernetes network policy, workload identity instead of static credentials, and continuous policy enforcement — aligned with NIST 800-207 zero-trust principles — so a compromised function can't move laterally across the core or edge.
Technology Partners
Kubernetes Infrastructure for Telecommunications
The telecommunications industry's shift to cloud-native network functions is reshaping how carriers build and operate infrastructure — replacing purpose-built appliances with containerized CNFs running on Kubernetes across core data centers, regional edge sites, and far-edge cell locations. THNKBIG provides Kubernetes consulting services designed specifically for telecom requirements: 5G core and RAN placement constraints, ETSI NFV-aligned architecture, O-RAN Alliance interface considerations, and the multi-cluster fleet governance that makes cloud-native adoption operationally sustainable rather than a one-off migration project.
Edge Kubernetes at telecom scale is fundamentally a fleet-management problem, not a single-cluster problem. Operators managing thousands of cell sites and central offices need a control plane that can push declarative, GitOps-driven changes fleet-wide, enforce consistent security posture across every site, and tolerate sites that are intermittently connected or fully disconnected for periods of time. THNKBIG designs fleet architectures using lightweight Kubernetes distributions, zero-touch provisioning, and bandwidth-aware synchronization so a platform team of a handful of engineers can responsibly operate infrastructure spanning an entire national footprint.
Security for telecom Kubernetes environments has to assume the network itself is a target — signaling infrastructure, subscriber data, and government and public-safety traffic all traverse the same platform. THNKBIG implements zero-trust network segmentation aligned with NIST 800-207 principles: mutual TLS between network functions via service mesh, workload identity in place of static credentials, and continuous policy enforcement with audit evidence. For operators with data sovereignty obligations, we design architectures that keep subscriber and telemetry data within required regions while still supporting a single, unified fleet-management and observability layer across the whole network.
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