Production Kubernetes, engineered for the long run.

Kubernetes consulting for teams that need it to work in production

Kubernetes is now the default control plane for modern infrastructure, but running it well in production — particularly outside the comfort of a managed cloud service — is still hard. Networking models, storage choices, lifecycle automation, multi-tenancy, identity, secrets, backup, and day-two operations each carry trade-offs that compound over time. PeakIT helps engineering organisations get those trade-offs right the first time and stay ahead of them as platforms grow.

Our consultants have built and operated Kubernetes clusters on bare metal, on every major cloud platform, and in hybrid topologies. We bring patterns drawn from real incidents, real audits, and real scale — not slideware — and we work alongside your teams so that what we build together is owned, understood, and operable on day one.

Where we add value

Cluster architecture and platform design

We help you make the decisions that are expensive to change later: control-plane topology, node operating system, container runtime, networking choice, ingress strategy, storage layout, multi-cluster boundaries, identity federation, and disaster-recovery posture. Each recommendation is grounded in your workload profile, compliance constraints, and team operating model — not in vendor defaults.

Immutable, purpose-built node operating systems

For estates that need predictable upgrades, reduced attack surface, and dramatically simpler day-two operations, we help teams adopt immutable, API-driven node operating systems purpose-built for Kubernetes. Where switching the OS is not an option, we apply the same principles to general-purpose distributions: minimal images, declarative configuration, and disciplined lifecycle.

Cluster networking and load balancing

Networking is where Kubernetes platforms most often quietly fail. We design and implement production-grade datapaths: high-performance container networking with rich policy and observability, routed integration with the underlying datacenter fabric, and production-ready load balancing for bare-metal environments. We make sure the cluster network composes cleanly with your existing segmentation, firewalls, and WAN edge.

GitOps and platform automation

We implement GitOps so that every cluster state is reproducible, auditable, and rollback-friendly. We pair this with infrastructure-as-code and policy-as-code so that change management is enforced where it matters and invisible where it doesn't. The result is a platform where deploys are boring and audit trails fall out as a side effect.

Observability and SRE practice

Platforms only earn trust when teams can see what they are doing. We deploy and tune modern observability stacks covering metrics, logs, and traces, define meaningful SLOs, and coach on-call practice so that alerts mean something and runbooks are real.

Security and secrets

We harden Kubernetes against the threat models that actually apply to your environment: workload identity, pod security standards, image provenance and signing, and centralised secret management backed by your existing key infrastructure. Compliance evidence drops out as a side effect, not as a separate project.

Operations, upgrades, and lifecycle

We design upgrade paths that don't require heroics: controlled node rotation, etcd backup and restore, declarative machine configuration, and clean separation between platform and application lifecycles. We can run platforms with your team, hand them over, or stay on in an advisory capacity for high-stakes change windows.

Capabilities we cover

• Cluster architecture
• Bare-metal Kubernetes
• Hybrid & multi-cloud
• Immutable node OS
• Container networking
• Service routing
• Load balancing
• GitOps delivery
• Policy-as-code
• Infrastructure-as-code
• Metrics, logs, traces
• Workload identity
• Secret management
• Image signing & provenance
• Cluster backup & restore
• Cloud-native storage
• Upgrade strategy
• SRE coaching

Who we work with

We typically engage with platform engineering teams, infrastructure leaders, and CTOs at organisations where Kubernetes underpins regulated, revenue-generating, or operationally sensitive workloads. That includes financial services, telecommunications, manufacturing, SaaS, and public-sector adjacent organisations across EMEA, APAC, and the Americas.

How an engagement starts

Most engagements begin with a focused discovery — typically one to two weeks — in which we review the current platform, workload mix, operating constraints, and team structure, and return a written assessment with a prioritised roadmap. From there we scope an implementation or advisory engagement that fits your pace, your budget, and your existing team. Email hello@peakitlabs.com to start that conversation.