Networking,
engineered end to edge.
SD-WAN, SASE, datacentre, campus, cloud interconnect, service mesh, wireless and edge, engineered against the traffic your business actually runs, not against a reference diagram.
A complete networking practice, engineered end to end.
From SD-WAN and SASE through datacentre, cloud, mesh, wireless, edge and network security, our practice covers the full delivery surface of enterprise networking.
Network strategy & architecture
Target-state networking, capacity plans and traffic engineering, grounded in the applications, sites and cloud footprint you actually run, not in a reference topology.
SD-WAN & branch networking
SD-WAN across sites and continents on Cisco Meraki, Viptela, Fortinet, Silver Peak and Prisma SD-WAN, with QoS, path selection and failover engineered around real application traffic.
SASE, ZTNA & secure edge
Zscaler, Prisma Access, Cloudflare and Netskope SASE stacks, bringing ZTNA, SWG, CASB and DLP together as one policy surface rather than four consoles.
Datacentre & campus networking
Leaf-spine fabrics, EVPN/VXLAN, campus and IDF/MDF design, chosen against traffic profiles and failure domains, not against a chassis catalogue.
Cloud networking & interconnect
Transit gateways, VPCs, private links, ExpressRoute, Cloud Interconnect and multi-cloud connectivity, with IP schemes, DNS and identity that don't collapse under growth.
Service mesh & workload networking
Istio, Linkerd, Cilium and Consul service meshes, introduced where they earn their keep, and skipped where a boring load balancer wins.
CDN, edge & DDoS protection
Cloudflare, Akamai, Fastly and AWS/GCP/Azure edge, with caching, WAF, bot management and DDoS engineered against the actual traffic pattern.
Wireless & connected sites
Wi-Fi 6/7, BLE and cellular integration on Meraki, Aruba and Cambium, designed against dwell, density and real-world RF, not against theoretical coverage maps.
Voice, video & collaboration transport
Latency, jitter and loss budgets engineered for voice, video and real-time collaboration, because unified comms are network problems more than they are software ones.
Network observability
Structured telemetry, flow, path and synthetic monitoring, designed for the questions on-call actually asks, not for the dashboard the tool defaults to.
Network automation
Infrastructure-as-code for networks with Ansible, Terraform and vendor SDKs, so changes are proposed, reviewed and reversible, not typed into a shell at 2am.
Network security & segmentation
Micro-segmentation, NAC, east-west inspection, encrypted transit and zero-trust internal networking, aligned to CIS, NIST and sector regimes where they apply.
Design from the traffic. Deliver as code.
A delivery model that treats the network like software, designed from real traffic, versioned in code, and shipped with dry-runs and rollback.
Frame
Application traffic, site footprint, cloud edges, resilience and cost mapped. Output: a target topology with a first slice already scoped.
Design
Target routing, segmentation, security policy and observability engineered as code. Failure modes and blast radius are named before circuits ship.
Deliver
Rolling change windows with pilot sites, dry-run configs, reconciled telemetry and rollback ready on every change.
Operate
Traffic, health, cost and security posture monitored as ongoing engineering. Configuration lives in code; drift is a signal, not an accepted state.
A pragmatic networking toolchain.
Vendor and platform choices are driven by traffic, resilience and skills, not by whichever refresh is next.
TerraformAAnsible
Kubernetes
AWS
Azure
GCP
Prometheus
Grafana
DatadogProgrammes delivered on this practice.
What prospective clients ask us first.
If your question isn't addressed here, please reach us at hello@tekansa.com.
01SD-WAN, MPLS or internet-only, how do you decide?
Per site and per application. Some branches earn dual paths with private transit; others are fine on quality internet with a good SASE overlay. Modern SD-WAN dissolves most of the old MPLS-versus-internet religion, the real questions are traffic profile, SaaS proximity, resilience budget and total cost. We build the decision from measured traffic, not from a vendor slide.
02How do you approach SASE / ZTNA without turning it into a product roll-out?
By designing policy around users, devices and applications first, and letting the products serve the policy, not the other way around. SASE only pays off if identity, device posture and app catalogues are healthy underneath it; otherwise it's an expensive VPN. We usually stage the roll-out, start with high-value apps and populations, retire the legacy VPN paths as coverage lands.
03How much service mesh is worth it?
Only as much as the workload count and mTLS/observability needs justify. A single-cluster estate with a handful of services usually does better with plain load balancers and Kubernetes networking. Mesh earns its place when you have multi-cluster east-west, strict zero-trust between workloads, or serious traffic-shifting needs. Introducing it too early adds an ops tax that never quite pays back.
04How do you design multi-cloud and hybrid connectivity without making it fragile?
By treating IP address plans, DNS, identity and transit as an architectural concern from day one, not something individual teams solve for themselves. We prefer hub-and-spoke transit patterns with private connectivity to cloud, deliberate egress paths, and identity that spans clouds. Multi-cloud gets simpler when the seams are engineered, and fragile when they aren't.
05How do you automate networks without making outages faster?
By keeping changes in code, reviewed, tested and staged, never by giving pipelines credentials without safety rails. Configuration lives in Git; changes go through review; dry-run and validation stages run before push; blast radius is bounded by design. We optimise for reversibility first and speed second, the opposite ordering is why bad network automation earns a reputation.
06How do you handle observability for the network specifically?
Flow, path, latency and loss telemetry, plus synthetic probes for the paths that matter, designed against the questions on-call actually asks. Dashboards are opinionated. Alerts are tuned. The point is that a slow SaaS report doesn't turn into two hours of finger-pointing between the network team, the SaaS provider and the workstation image, because the evidence is right there.
Let's discuss your network programme.
Share a brief overview of the sites, workloads and traffic, we'll arrange an introductory conversation with the relevant practice leadership.