Pillar 04
Dashboards leadership can trust, data pipelines, cloud setup and migration, CI/CD, observability, reliability and cloud cost control.
Data, Cloud & Platform Engineering is the Directrix Technologies practice for dependable data, deployments and operations. It covers data engineering, data warehouses, business intelligence dashboards, data quality, cloud architecture and migration, infrastructure as code, CI/CD, containers, observability, reliability, backup and recovery, and cloud cost governance. Changes are built as code, validated against reconciled data with a rehearsed rollback, and handed over with runbooks and monitoring. Directrix projects in this area include the ModelOps Console and WorkforceIQ.
Build dashboards and reports around agreed metrics, audiences and data definitions.
What you get
Sounds familiar?
Leaders cannot see operational performance or trust competing spreadsheets.
Typical uses
Sales pipeline, inventory, support, finance operations.
Usually for
Management, finance, sales ops
Build pipelines to extract, validate, transform and load data from agreed sources.
What you get
Sounds familiar?
Data is fragmented and recurring reports require manual consolidation.
Typical uses
Sales analytics, operational reporting, data warehouse preparation.
Usually for
Data lead, BI, engineering
Automate build, test, deployment and release checks for the agreed repository and environments.
What you get
Sounds familiar?
Releases are manual, error-prone or inconsistent.
Typical uses
Web services, mobile backends, data jobs.
Usually for
Engineering, DevOps
Instrument systems to track health, errors, performance and key operational events.
What you get
Sounds familiar?
Problems are discovered by users rather than by the engineering team.
Typical uses
APIs, AI systems, web applications, data pipelines.
Usually for
CTO, SRE, operations
Design storage and transformation foundations appropriate to reporting and analytics needs.
You get: Target architecture · Data model · Ingestion plan · Initial datasets if scoped
Discuss thisImplement validation, ownership, lineage or data-access practices suited to the project.
You get: Quality rules · Exception reports · Ownership matrix · Remediation backlog
Discuss thisAssess and migrate selected workloads to a suitable cloud environment with rollout and rollback planning.
You get: Current-state assessment · Target architecture · Migration plan · Deployment support
Discuss thisProvision environments, networking, managed services and access controls for a defined system.
You get: Environment configuration · Infrastructure documentation · Access model · Handover
Discuss thisManage supported infrastructure configuration through version-controlled code.
You get: IaC modules · Review workflow · Environment setup notes · Plan/apply controls
Discuss thisPackage services into containers and configure an appropriate runtime/orchestration approach.
You get: Container definitions · Runtime configuration · Health checks · Operations notes
Discuss thisAnalyse bottlenecks and improve performance, resilience and recovery for defined workloads.
You get: Load profile · Performance tests · Bottleneck analysis · Remediation plan
Discuss thisReview cloud usage, idle resources, architecture choices and cost allocation to identify optimisation options.
You get: Baseline · Cost breakdown · Ranked optimisation actions · Budget alerts
Good to know: Savings are not guaranteed; implementation and workload changes affect results.
Discuss thisSupport migration, backup/recovery design, indexing and operational improvements for agreed databases.
You get: Migration plan · Validated scripts · Rollback steps · Performance recommendations
Discuss thisDesign queues, events and background workers for decoupled, resilient processing.
You get: Event contracts · Queue/worker setup · Retry and dead-letter handling · Monitoring
Discuss thisDocument and test backup, restore and recovery approaches for selected systems.
You get: Recovery objectives · Backup configuration · Restore test · Runbook
Discuss thisImprove local setup, reusable templates, developer workflows and internal engineering tooling.
You get: Repository templates · Onboarding automation · Reusable tooling · Documentation
Discuss thisPrivate, Offline AI Search
University of East London, UK
AI-assisted document search that runs in a controlled local environment, without sending documents to the cloud.
AI-Powered HR Analytics
Employee attrition prediction, workforce segmentation and interactive analytics dashboards.
AI Monitoring & Lifecycle Management
CineGear Pro, London, UK
Dashboards and lifecycle workflows for monitoring and managing machine learning models.
