Service Category · Cloud & Platform Engineering

Engineering Cloud & Platform Infrastructure for Scale & Reliability

PalC engineers cloud-native platforms, private and hybrid cloud infrastructure, DevOps toolchains, CI/CD pipelines, and high-performance CDN & streaming delivery systems. From Kubernetes-centric architectures and GitOps-driven operations to build-time optimisation for complex system software - platform engineering that scales reliably.

Infrastructure

Private & Hybrid Cloud

Private and sovereign cloud platforms engineered for full infrastructure control - Kubernetes-centric networking with Cilium, VPP data planes, and GitOps-driven lifecycle operations.

Applications

Cloud-Native Applications

Platform-aware microservices and REST APIs built for Kubernetes - OpenAPI-first design, multi-tenant control planes, and lifecycle-safe application engineering.

DevOps

DevOps & Platform Engineering

Platform-aware DevOps for complex systems - CI/CD pipelines, GitOps delivery, Kubernetes operator development, and SRE practices aligned to platform architecture.

Build

CI/CD & Build Optimisation

Build and delivery pipelines optimised for complex system software - NOS builds, protocol stacks, multi-component platforms, and distributed systems.

Delivery

CDN & Streaming Platforms

CDN and real-time streaming platforms engineered for low-latency delivery, high throughput, session continuity, and operational control at scale.

Cloud and platform engineering at PalC goes beyond generic infrastructure deployment. Our teams bring deep system-level understanding - from Kubernetes internals and eBPF networking to NOS build systems and packet processing pipelines. Whether building private cloud infrastructure, engineering cloud-native applications, or optimising complex multi-component build systems, PalC engineers platforms that are designed for operational reality, not demo-day simplicity.

Private & Hybrid Cloud

Sovereign cloud infrastructure with Kubernetes, Cilium & GitOps

Kubernetes Infrastructure

Production-grade Kubernetes cluster engineering - multi-tenancy, RBAC, storage orchestration, and high-availability configurations for enterprise workloads.

Cilium & eBPF Networking

Cilium CNI deployment, eBPF-based network policy, service mesh integration, and advanced observability for Kubernetes-native networking.

VPP Data Plane

High-performance VPP-based data plane engineering for cloud infrastructure - packet processing, NAT, load balancing, and network function integration.

GitOps Lifecycle Operations

ArgoCD/Flux-driven continuous delivery, infrastructure-as-code, drift detection, and automated rollback for cloud platform lifecycle management.

Engagement Approach

  1. Infrastructure AssessmentCurrent state review, workload profiling, and target architecture definition.
  2. Platform Architecture DesignKubernetes topology, networking stack, storage, and security design.
  3. Implementation & HardeningCluster build-out, CNI deployment, RBAC, and security hardening.
  4. GitOps & Automation SetupCI/CD pipelines, GitOps workflows, and operational automation.
  5. Validation & Production HandoverLoad testing, failover validation, and runbook documentation.

Cloud-Native Applications

Platform-aware microservices & APIs for Kubernetes environments

Microservices Architecture

Domain-driven microservice design, API gateway patterns, event-driven communication, and service decomposition for complex platform systems.

OpenAPI-First Design

Contract-first API development with OpenAPI/Swagger, versioning strategy, and backward-compatible evolution for multi-consumer platforms.

Multi-Tenant Control Planes

Tenant isolation, resource quotas, namespace strategies, and control plane engineering for SaaS and managed platform products.

Lifecycle-Safe Engineering

Graceful degradation, circuit breakers, health probes, rolling updates, and blue-green deployments for zero-downtime operations.

Engagement Approach

  1. Domain & API DesignService boundaries, API contracts, and data model design.
  2. Architecture ReviewResilience patterns, scaling strategy, and integration architecture.
  3. Iterative DevelopmentSprint-based delivery with API-first development and continuous integration.
  4. Platform Integration TestingEnd-to-end validation, performance testing, and chaos engineering.
  5. Deployment & HandoverProduction deployment, API documentation, and developer onboarding.

DevOps & Platform Engineering

Platform-aware DevOps practices for complex distributed systems

CI/CD Pipeline Engineering

Multi-stage pipelines for complex software - NOS builds, protocol stack compilation, container image builds, and artifact management.

Kubernetes Operators

Custom operator development for automated platform lifecycle - day-2 operations, scaling, backup, and self-healing capabilities.

Infrastructure as Code

Terraform, Pulumi, and Crossplane-based infrastructure provisioning with drift detection and policy-as-code enforcement.

SRE & Observability

SLO-driven reliability engineering, Prometheus/Grafana observability stacks, distributed tracing, and incident response automation.

Engagement Approach

  1. DevOps Maturity AssessmentCurrent toolchain review, bottleneck identification, and improvement roadmap.
  2. Pipeline & Platform DesignCI/CD architecture, IaC strategy, and observability stack design.
  3. Implementation & AutomationPipeline build-out, operator development, and automation scripting.
  4. SRE Practices SetupSLO definition, alerting, runbooks, and incident response workflows.
  5. Knowledge Transfer & HandoverTeam training, documentation, and operational handover.

CI/CD & Build-Time Optimisation

Build pipelines optimised for complex system & platform software

NOS Build Optimisation

Build time reduction for network operating systems - dependency analysis, parallel compilation, incremental builds, and caching strategies.

Multi-Component Pipelines

Orchestrated build pipelines for platforms with multiple interdependent components, firmware, and user-space applications.

Test Automation Integration

Automated test execution within CI/CD - unit, integration, and system tests with intelligent test selection and parallel execution.

Artifact & Release Management

Binary artifact versioning, container registry management, release tagging, and reproducible build environments.

Engagement Approach

  1. Build System AnalysisCurrent build time profiling, dependency mapping, and bottleneck identification.
  2. Optimisation StrategyParallelisation plan, caching strategy, and infrastructure sizing.
  3. Pipeline RefactoringBuild system rework, CI/CD pipeline optimisation, and test integration.
  4. Validation & BenchmarkingBuild time measurements, correctness validation, and regression testing.
  5. Operational HandoverDocumentation, monitoring dashboards, and team training.

CDN & Real-Time Streaming Platforms

Content delivery & real-time streaming engineered for scale

CDN Architecture

Edge caching, content routing, origin shielding, and multi-tier CDN design for high-volume content delivery at global scale.

Real-Time Streaming

Low-latency live streaming, WebRTC integration, adaptive bitrate delivery, and session management for broadcast and enterprise platforms.

Traffic Engineering

Load balancing, traffic shaping, request routing, and capacity planning for CDN and streaming infrastructure.

Platform Operations

CDN observability, performance monitoring, cache analytics, and automated scaling for operational excellence at scale.

Engagement Approach

  1. Traffic & Content AnalysisContent profile, traffic patterns, latency requirements, and SLA definition.
  2. Architecture & DesignCDN topology, caching strategy, origin design, and streaming architecture.
  3. Platform DevelopmentEdge node engineering, routing logic, streaming pipeline, and API development.
  4. Performance TestingLoad testing, latency benchmarking, failover validation, and capacity planning.
  5. Deployment & OperationsProduction rollout, monitoring setup, and operational handover.

Service Comparison at a Glance

A quick reference across Cloud & Platform Engineering services to help identify the right fit.

Private CloudCloud-NativeDevOpsCI/CDCDN
Primary FocusInfrastructureApplicationsOperationsBuild systemsContent delivery
Key TechK8s, Cilium, VPPMicroservices, APIsGitOps, OperatorsPipelines, cachingEdge, streaming
EngagementPlatform build-outApp developmentToolchain engineeringBuild optimisationPlatform engineering
DeliverablesClusters, IaC, docsServices, APIs, testsPipelines, operatorsOptimised buildsCDN platform, dashboards
Duration3-12 months2-9 months2-9 months4-12 weeks3-12 months

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Talk to the right engineering team

Each service has dedicated cloud and platform specialists. Share your requirements and our team will confirm the right engagement.

Private Cloud

Infrastructure

Kubernetes, Cilium, VPP, and GitOps for sovereign and hybrid cloud environments.

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Cloud-Native

Applications

Microservices, REST APIs, and multi-tenant control planes for Kubernetes platforms.

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DevOps

Platform Engineering

CI/CD, GitOps, Kubernetes operators, IaC, and SRE practices for complex systems.

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CI/CD

Build Optimisation

Build pipelines for NOS, protocol stacks, and multi-component platform software.

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CDN

Streaming Platforms

Content delivery and real-time streaming platforms engineered for scale and performance.

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Not sure which cloud service fits? Talk to us first.

Many cloud projects span multiple areas - private cloud infrastructure with DevOps automation, or cloud-native apps with CI/CD optimisation. We'll help design the right engagement.

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Explore Other Service Categories

Networking Engineering

IP routing protocols, IPU/DPU acceleration, packet optical transport, and SDN/NFV for carrier and enterprise networks.

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Security, Visibility & Analytics

Identity & access management, security engineering, and network & data analytics for enterprise and regulated environments.

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Industry-Focused Engineering

Specialised engineering for banking & financial services, telecom & edge networks, and enterprise digital platforms.

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Engagement & Delivery Models

CPDaaS, PDaaS, PTaaS, and SaaS - four structured engagement models to match how your organisation needs to work.

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Proven outcomes from the field

Deployments across AI fabrics, multi-cloud, automation, and security.

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