Cloud infrastructure engineered for uptime, recovery and cost.
BitAzure designs, builds and operates cloud platforms on AWS, Azure and Google Cloud: Kubernetes clusters, CI/CD and GitOps pipelines, infrastructure as code, observability, secrets management, disaster recovery and the specialised operations that blockchain nodes and trading systems require.
- AWS, Azure and Google Cloud with Terraform and GitOps
- Kubernetes, Docker and multi-region high availability
- CI/CD with build, test, scan and progressive deployment
- Monitoring, logging, secrets, DR and cost optimisation
What is cloud and DevOps engineering?
Cloud and DevOps engineering is the practice of building and operating the infrastructure and delivery pipelines that software runs on: cloud accounts and networks defined as code, container orchestration with Kubernetes, continuous integration and deployment, observability, secrets management, auto scaling, high availability and disaster recovery. Its goal is that teams can ship changes frequently while the platform stays secure, recoverable and cost-efficient.
BitAzure provides this as design, implementation and managed operations for fintech, crypto and enterprise workloads. That includes landing zones on AWS, Azure or Google Cloud, Kubernetes platforms with GitOps delivery, pipelines with security scanning, monitoring and logging stacks, backup and DR rehearsals, cost governance, and node operations for blockchain networks where validators, RPC clusters and indexers have their own reliability rules.
We treat infrastructure like application code: reviewed, tested, versioned and observable. Runbooks, dashboards and recovery procedures are deliverables, and every environment can be rebuilt from the repository.
Cloud and DevOps capabilities
Capabilities cover the full lifecycle from account design to day-two operations, on a single cloud or across several.
Cloud Platforms & Landing Zones
- AWS, Azure and Google Cloud account and organisation design
- Network architecture: VPCs, private connectivity and egress control
- Identity and access management with least privilege
- Multi-region and multi-cloud topologies
- Compliance-aligned baselines and guardrails
Infrastructure as Code & GitOps
- Terraform modules with reviewable plans and policy checks
- GitOps delivery with Argo CD or Flux
- Environment promotion from development to production
- Drift detection and reconciliation
- Reusable modules for databases, queues and clusters
Containers & Kubernetes
- Docker images with reproducible, minimal builds
- Kubernetes cluster provisioning on EKS, AKS and GKE
- Auto scaling of pods and nodes by load and schedule
- High availability with multi-zone scheduling and disruption budgets
- Service mesh, ingress and network policies
CI/CD & Release Engineering
- CI/CD pipelines: build, test, scan and deploy
- Container and dependency vulnerability scanning
- Blue-green, canary and progressive delivery
- Artifact signing and provenance
- Pipeline templates shared across services
Observability, Secrets & Resilience
- Monitoring and alerting with Prometheus and Grafana
- Centralised logging and distributed tracing
- Secrets management with Vault or cloud KMS-backed stores
- Disaster recovery with tested RPO and RTO targets
- Backup, restore and chaos rehearsals
Cost & Specialised Operations
- Cost optimisation: rightsizing, reservations and spot strategies
- FinOps dashboards and budget alerts per team
- Blockchain node operations: validators, RPC clusters and indexers on cloud
- Low-latency and bare-metal hybrid patterns for trading
- Managed operations with on-call and runbooks
Reference cloud platform architecture
Changes flow from repositories through a pipeline into multi-region Kubernetes clusters, with data, secrets, observability and a recovery region managed as part of the same codebase.
Hover or focus a component to see its role in the architecture.
- Developers (Git repositories): Application and infrastructure changes proposed as pull requests with automated checks.
- Infrastructure as Code (Terraform · policies): Modules for accounts, networks, clusters and managed services with policy-as-code validation.
- CI/CD Pipeline (Build · test · scan · deploy): Builds images, runs tests, scans dependencies and containers, signs artifacts and applies infrastructure plans.
- GitOps Controller (Argo CD · Flux): Reconciles cluster state to the desired state in Git, with drift detection and automated rollback.
- Kubernetes Clusters (Multi-region · autoscaling): Managed clusters across zones and regions with horizontal and cluster autoscaling, network policies and ingress.
- Observability (Metrics · logs · traces): Prometheus, Grafana, centralised logs and tracing with alert routing to on-call.
- Secrets & KMS (Vault · cloud KMS): Central secret store with rotation and audit; secrets injected at runtime, never baked into images.
- Databases (Primary · replicas): Managed PostgreSQL and caches with multi-zone replicas, automated backups and point-in-time recovery.
- Object Storage (Backups · artifacts): Versioned, encrypted buckets for backups, build artifacts and node snapshots with lifecycle rules.
- DR Region (Warm standby): Replicated data and pre-provisioned capacity in a separate region, exercised on a schedule.
Source & policy
- Git repositories
- Terraform modules
- Policy as code
Delivery
- CI/CD pipelines
- Scanning and signing
- GitOps sync
Runtime
- Kubernetes clusters
- Autoscaling
- Service networking
Data & resilience
- Databases and storage
- Secrets and KMS
- DR region and rehearsals
Where cloud and DevOps engineering applies
Exchange and trading infrastructure
Low-latency, highly available platforms with strict change control and rapid recovery.
Blockchain node fleets
Validators, RPC clusters and indexers with snapshots, upgrades and failover on cloud.
SaaS platform foundations
Multi-tenant Kubernetes platforms with GitOps delivery for product teams.
Regulated fintech workloads
Environments with audit-ready logging, encryption, segregation and DR evidence.
Cloud migration
Moving from data centres or single-cloud setups to codified, multi-region architectures.
Cost recovery programmes
Rightsizing, reservations and architecture changes for teams with runaway cloud spend.
Why teams run their platforms with BitAzure
Everything as code
Accounts, networks, clusters and pipelines are reproducible from the repository and reviewed like software.
Reliability with evidence
Availability targets, backup restores and DR failovers are rehearsed and documented, not assumed.
Secure delivery path
Scanning, signing, least-privilege deploy credentials and secrets injection at runtime.
Observability included
Dashboards, alerts and tracing are delivered with the platform so incidents are diagnosable from day one.
Cost under control
Tagging, budgets and rightsizing built into the platform so spend is visible per service and team.
Blockchain operations expertise
Node-specific patterns for snapshots, upgrades, peer management and RPC scaling.
Technologies we use for cloud and DevOps
AWS
InfrastructureEKS, RDS, KMS, CloudHSM and multi-region deployments.
Azure
InfrastructureAKS, Key Vault and enterprise identity integration.
Google Cloud
InfrastructureGKE, Cloud SQL and BigQuery-backed analytics.
Kubernetes
InfrastructureAutoscaling, rolling deployments and workload isolation.
Docker
InfrastructureReproducible builds and images across every environment.
Terraform
InfrastructureInfrastructure as code with reviewable change plans.
Prometheus / Grafana
InfrastructureMetrics, dashboards and alerting for every service.
Go
BackendConcurrent network services, relayers and infrastructure daemons.
Python
BackendData pipelines, quant research tooling and AI services.
PostgreSQL
DatabaseTransactional ledgers, ledgers-of-record and analytical workloads.
Redis
DatabaseCaching, sessions, rate limiting, pub/sub and order-book snapshots.
Kafka
DatabaseDurable event streaming between engines and services.
How we deliver cloud platforms
Every engagement follows a documented, milestone-driven path from discovery to continuous development.
- 01
Assessment and target architecture
Current infrastructure, workloads, compliance needs and availability targets are reviewed to define the target platform.
- 02
Landing zone and IaC foundation
Accounts, networks, identity and Terraform modules are established with policy checks and a promotion model.
- 03
Kubernetes platform and pipelines
Clusters, GitOps controllers, CI/CD templates and scanning are delivered and validated with a pilot service.
- 04
Observability, secrets and resilience
Monitoring, logging, tracing, secrets management, backups and DR procedures are implemented and rehearsed.
- 05
Migration and cutover
Workloads move in waves with rollback plans, load testing and cost review at each step.
- 06
Managed operations and optimisation
On-call coverage, upgrades, cost reviews and continuous improvement under a defined operating model.
Security practices in cloud engineering
Identity and least privilege
Role-based cloud IAM, short-lived credentials and workload identity instead of static keys.
Network segmentation
Private subnets, network policies, allow-listed egress and private endpoints for managed services.
Secrets management
Central secret stores with rotation, audit and runtime injection; no secrets in images or repositories.
Supply-chain security
Dependency and image scanning, signed artifacts and provenance attestations in the pipeline.
Encryption and backups
KMS-managed encryption at rest, TLS in transit and encrypted, tested backups in a separate account.
Detection and response
Cloud audit logs, runtime threat detection and alert routing with defined incident runbooks.
We coordinate independent third-party audits on request and never claim an audit, certification or compliance status unless it has actually been obtained.
What to decide before a platform build
Single or multi-cloud
Multi-cloud adds resilience and leverage but doubles the operational surface; most teams benefit more from multi-region on one provider.
Kubernetes fit
Kubernetes suits many services and teams; small workloads may be better served by managed containers or serverless.
RPO and RTO targets
Recovery objectives drive replication, backup frequency and cost. Set them per system rather than platform-wide.
Platform team model
Decide who owns the platform after delivery and how product teams request changes; GitOps works only with clear ownership.
Node operation specifics
Blockchain nodes need large disks, careful upgrade timing and peer connectivity that generic patterns do not cover.
Cost governance
Autoscaling and multi-region designs can inflate spend; budgets and tagging must exist before growth, not after.
Cloud & DevOps questions
AWS, Azure and Google Cloud, with Terraform and Kubernetes as the common layer. Provider choice is driven by your existing estate, data residency, managed-service needs and commercial agreements.
Need a platform your team can rely on?
Describe your workloads, providers and availability goals. We will propose a target architecture, migration path and operating model.