Service · Cloud & Platform Engineering

DevOps & Platform Engineering for Complex, Distributed Systems

PalC designs and implements DevOps and platform engineering practices that support large-scale, network-centric, and cloud-native systems - platform-aware CI/CD, infrastructure automation, release engineering, observability tooling, and security policy automation that evolve infrastructure, networking, and applications together in a controlled, repeatable manner.

DevOps & Platform Engineering Stack - PalC Coverage
CI/CD & Release PipelinesGitHub Actions · GitLab CI · ArgoCD · Argo Rollouts
Infrastructure as CodeTerraform · Ansible · Helm · Kustomize
GitOpsFlux · ArgoCD
Platform & OrchestrationKubernetes · Docker · Helm · Custom Operators & Controllers
NetworkingSONiC · Cilium · eBPF
ObservabilityPrometheus · Grafana · Jaeger · OpenTelemetry
Policy & SecurityOPA · Vault · RBAC · SAST
Core ToolchainTerraform · ArgoCD · Kubernetes · GitOps · OPA
PlatformAware DevOps
IaCFirst Automation
ZeroDowntime Releases
TerraformArgoCDKubernetesGitOpsOPA
IaCInfrastructure First
ZeroConfig Drift
FullPlatform Observability

DevOps in complex environments goes beyond build pipelines. It must account for platform dependencies, networking behaviour, security policies, and operational workflows. PalC focuses on platform-aware DevOps where infrastructure, networking, orchestration, and applications evolve together in a controlled and repeatable manner - shaped by work on sovereign and private cloud platforms, network-centric control planes, and open networking and disaggregated infrastructure.

Core Capabilities

Depth across pipelines, automation, and platform operations

PalC builds DevOps practices that are tightly aligned with platform architecture - not generic application pipelines bolted onto complex system software.

01

Platform-Centric CI/CD Pipelines

Design of CI/CD pipelines that support platform components such as networking services, control planes, and orchestration layers - not just application code, but system software with hardware dependencies and multi-artifact builds.

  • Modular pipeline design for multi-component platform codebases
  • SONiC and NOS build pipeline engineering on GitHub Actions / GitLab CI
  • Container image build and registry management with security scanning
  • Parallel pipeline stages for independent build artifacts
  • Environment-gated promotion - dev → staging → pre-prod → production
02

Infrastructure & Configuration Automation

Automated infrastructure provisioning, configuration, and lifecycle management using declarative, version-controlled approaches - eliminating manual change accumulation and configuration drift across platform and network components.

  • Terraform IaC for cloud and on-premises infrastructure provisioning
  • Ansible for configuration management and platform day-2 operations
  • Helm chart development and Kustomize overlay management
  • GitOps with ArgoCD or Flux for declared-state platform delivery
  • Drift detection and automated remediation pipelines
03

Release Engineering & Upgrade Management

Design of release workflows that support rolling upgrades, version compatibility, and minimal service disruption - critical to platform software where a failed upgrade can impact the networking layer or control plane.

  • Rolling and canary upgrade strategies with Argo Rollouts
  • Blue-green deployment pipeline design for stateful platform services
  • Version compatibility validation gates before promotion
  • Automated rollback triggered by health probe degradation
  • Release trains and change governance workflows for regulated platforms
04

Observability & Operational Tooling

Integration of logging, metrics, and tracing into platforms to support day-2 operations and troubleshooting - telemetry pipelines, SLO dashboards, and automated health checks built alongside the platform, not added after incidents.

  • Prometheus and Grafana platform-wide metrics and alerting
  • Distributed tracing with Jaeger and OpenTelemetry instrumentation
  • Structured logging pipelines - Loki, Elasticsearch, or custom stack
  • SLO definition, error budget tracking, and burn rate alerting
  • Automated health check pipelines for platform component validation
05

Security & Policy Automation

Embedding security controls, identity, and policy enforcement into DevOps workflows - security as a pipeline stage, not a gate at the end, for platform software that must meet strict compliance and audit requirements.

  • OPA Gatekeeper policy enforcement at Kubernetes admission time
  • HashiCorp Vault integration for secrets and certificate management
  • SAST and container vulnerability scanning in CI pipelines
  • SBOM generation and supply chain integrity verification
  • RBAC automation and least-privilege access controls for platform components
06

Custom Platform Operators & Controllers

Development of Kubernetes operators and custom controllers that automate platform-specific workflows - NOS lifecycle management, network configuration reconciliation, and platform resource provisioning as Kubernetes-native resources.

  • Custom Resource Definition (CRD) design and operator development
  • Reconciliation loop engineering for network and platform resources
  • Operator SDK and controller-runtime framework development
  • Platform lifecycle automation - install, upgrade, scale, drain, remove
  • Network configuration operators for SONiC and CNI management

Technical Deep Dive

Proven engineering across pipelines, IaC, and platform automation

PalC engineers implement DevOps practices at the platform level - GitHub Actions pipelines for SONiC builds, Terraform modules for infrastructure, ArgoCD for GitOps delivery, and OPA policies enforced at admission time.

CI/CD - Platform-centric GitHub Actions Pipeline

Modular pipeline for NOS/platform software builds

Multi-stage pipeline with build, test, and container packaging - environment-gated promotion through dev → staging → production with manual approval gates.

# GitHub Actions - platform build pipeline
jobs:
  build_and_test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout
      - name: Build platform image
      - name: Unit tests
  promote:
    needs: build_and_test
CI PlatformGitHub ActionsImage BuildTiny / GrypeRegistryGHCR / HarborTestsUnit + Integration

IaC - Terraform Module for Platform Infra

Declarative infrastructure provisioning with Terraform

Modular Terraform for Kubernetes cluster provisioning, network configuration, and platform resource setup - state managed remotely, change reviewed via pull request, and policy-validated before apply.

# Terraform - private cloud k8s cluster module
module "platform_cluster" {
  source   = "./modules/k8s"
  env      = var.environment
  node_pool_count = 12
}
remote_state = s3 + DynamoDB lock
IaC ToolTerraform / OpenTofuStateRemote + LockingReviewPR-gated planConfig MgmtAnsible

GitOps - ArgoCD + Argo Rollouts

Canary delivery with automated traffic shifting

ArgoCD declares desired state from Git - Argo Rollouts manages progressive traffic shifting with automatic promotion on success metrics or rollback on degradation.

# Argo Rollout - canary platform release
strategy:
  canary:
    steps:
      - setWeight: 20
      - pause: {duration: 10m}
      - setWeight: 100
DeliveryCanary / Blue-GreenAnalysisPrometheus metricsRollbackAutomaticStateGit-declared

Security - OPA Gatekeeper Policy Enforcement

Admission-time policy enforcement for platform components

OPA Gatekeeper enforces platform security policies at Kubernetes admission time - rejecting workloads that violate image registries, resource limits, or network policy requirements.

# OPA Gatekeeper - allowlisted registry policy
apiVersion: constraints.gatekeeper.sh/v1beta1
kind: K8sAllowedRepos
spec:
  match:
    kinds: [{apiGroups:[""], kinds:["Pod"]}]
  parameters:
    repos: ["registry.local/"]
EngineOPA GatekeeperEnforcementAdmission webhookSecretsHashiCorp VaultSBOMSyft / CycloneDX

Technology Stack

CI/CD, platform, and operations tooling

PalC's DevOps and platform engineering practice covers the full toolchain - from source control and build pipelines through infrastructure automation, Kubernetes orchestration, and production observability.

DevOps & platform engineering stack - PalC coverage
Source Control & GitOpsGit (GitHub / GitLab) · ArgoCD · Flux · Branch protection
CI/CD PipelinesGitHub Actions · GitLab CI · Jenkins · Tekton
RolloutsArgo Rollouts
Infrastructure as CodeTerraform · OpenTofu · Ansible · Helm · Kustomize · Crossplane
Platform & OrchestrationKubernetes · Docker · Helm · custom operators (controller-runtime)
NetworkingSONiC · Cilium · eBPF
ObservabilityPrometheus · Grafana · Jaeger · Loki · OpenTelemetry
Policy & SecurityOPA · Vault · Trivy · SAST
Core ToolchainGitHub Actions / GitLab CI · ArgoCD / Flux · Terraform · Kubernetes

CI/CD & Automation

  • CI PlatformsGitHub Actions · GitLab CI
  • GitOpsArgoCD · Flux CD
  • RolloutsArgo Rollouts
  • IaCTerraform Ansible
  • PackagingHelm Kustomize

Platform & Orchestration

  • OrchestrationKubernetes · Docker
  • NetworkingSONiC · Cilium · eBPF
  • Operatorscontroller-runtime · Operator SDK
  • API PlaneCustom KDs API-driven
  • Control PlanesPlatform controllers

Observability & Security

  • MetricsPrometheus · Grafana
  • TracingJaeger · OpenTelemetry
  • LoggingLoki · Elasticsearch
  • PolicyOPA Gatekeeper
  • SecretsVault SOPS

Our Approach

A structured approach to DevOps and platform engineering

From platform assessment and pipeline design through automation engineering, validation, and operations enablement.

Phase 01

Platform Assessment & Design

Understanding platform architecture, dependencies, build bottlenecks, and operational requirements before designing any DevOps workflow.

Phase 02

Pipeline & Automation Engineering

Building CI/CD pipelines and automation frameworks aligned with platform components, build models, and release cadence requirements.

Phase 03

Validation & Release Readiness

Validating upgrades, configuration changes, and automation behaviour under real conditions before production adoption.

Phase 04

Operations Enablement & Support

Supporting adoption, runbook delivery, documentation, and ongoing evolution of DevOps practices as the platform grows.

Core ToolchainGitHub Actions / GitLab CIArgoCD / FluxArgo RolloutsTerraformAnsibleOPA GatekeeperPrometheus / GrafanaSONiC · Cilium

Deployment Scenarios

Where this is applied

Proven patterns across cloud platforms, networking systems, multi-tenant infrastructure, and AI data platforms.

Cloud Platform Engineering

DevOps workflows supporting private, sovereign, and hybrid cloud platforms - IaC-first infrastructure, GitOps delivery, and SRE practices for platform lifecycle management across on-premises and public cloud.

Networking & Control Plane Systems

Automation and release pipelines for SONiC, NOS controllers, and network services - CI/CD for NOS builds with hardware-in-loop testing, controlled upgrade rollouts, and automated rollback on health failures.

Distributed & Multi-Tenant Platforms

DevOps practices for large-scale, multi-tenant systems with strict isolation and control - per-tenant deployment automation, RBAC-integrated change governance, and compliance-validated release pipelines.

AI & Data Platforms

DevOps workflows enabling reliable deployment of AI pipelines and GPU-enabled services - container image pipelines for ML environments, model registry integration, and Kubernetes-based inference serving delivery.

Regulated & Compliance-Driven Platforms

DevOps for BFSI, government, and regulated environments - audit-logged change pipelines, OPA policy enforcement, SBOM generation, and immutable deployment records for compliance validation.

Open Networking & Disaggregated Infrastructure

DevOps for open networking platforms - SONiC build pipelines, Kubernetes operator development for network resource lifecycle, and automated validation of control-plane changes across test topologies.

Business Outcomes

What organisations achieve with PalC DevOps and platform engineering

Faster and safer platform changes

Controlled release with canary traffic shifting and automatic rollback - platform changes validated in staging before reaching production, and reverted in seconds if health metrics degrade.

Reduced operational risk during upgrades

Validated pipelines and automation for consistent outcomes - every upgrade executed the same way, every time, with health checks and compatibility gates before traffic is shifted.

Improved consistency across environments

Infrastructure as code and GitOps-declared state eliminates environment drift - dev, staging, and production share the same Terraform and Helm configurations.

Better observability into system behaviour

Metrics, logging, and tracing built into platforms from day one - operators diagnose platform issues with Grafana dashboards and Jaeger trace views.

Stronger collaboration between engineering and operations

Shared GitOps workflows and SRE practices reduce the wall between build and run - runbooks are co-reviewed, change gates automated, and on-call engineers have the dashboards they need to act.

Security and compliance embedded in delivery

OPA policies, SBOM generation, container scanning, and Vault-managed secrets built into the pipeline - compliance requirements met by default, not bolted on before the audit.

Platform Operations

Platforms and pipelines that are observable and operable from day one

PalC builds operational tooling alongside the DevOps platform itself - SLO dashboards, pipeline health monitoring, automated change notifications, and runbooks that make platform incidents faster to diagnose and resolve.

  • Pipeline health dashboards and failure alerting - Grafana dashboards for CI/CD pipeline success rates, build durations, and deployment frequency.
  • ArgoCD self-healing and drift detection - every cluster continuously reconciled against declared Git state.
  • SLO and error budget tracking - SLO rules and burn-rate visibility before incidents escalate.
  • Runbooks for platform and pipeline failures - build queue stalls, ArgoCD sync failures, Terraform lock conflicts, and webhook timeouts.
Alerting & Incident ManagementAlertManager · PagerDuty · Slack
SLO & Pipeline DashboardsGrafana · Error budget · Burn rate
Metrics · Tracing · LogsPrometheus · Jaeger · Loki
GitOps & Release AutomationArgoCD · Argo Rollouts · GitHub Actions
Infrastructure & PlatformTerraform · Kubernetes · SONiC · Cilium
Zero DriftSLO-TrackedGitOps-Driven

Ready to accelerate platform delivery?

Whether building CI/CD pipelines for a new platform, modernising existing infrastructure automation, or embedding security and observability into your delivery workflow - PalC engineers can design and implement the right approach.

Get in touch

Discuss your infrastructure goals with our experts.

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Cloud & Platform Engineering

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Proven outcomes from the field

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

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