WAForge
Governed Workload Delivery for Modern Platform Engineering
Atyeti frames WAForge as a governed workload delivery framework that powers self-service and internal developer platform experiences, rather than as a generic tool bundle or portal.
Why Traditional Cloud Delivery Slows You Down
Common challenges enterprises face with fragmented delivery models
Manual Processes
Repetitive tasks consume valuable engineering time and increase human error risk
Security Gaps
Inconsistent security policies across environments create compliance vulnerabilities
Slow Deployments
Lengthy approval chains and ticket systems delay time-to-market
Cost Overruns
Lack of governance leads to uncontrolled cloud spending and resource waste
WAForge changes that model
WAForge is Atyeti's framework for governed workload delivery. It brings together the build, deploy, and configuration lifecycle into a single, standardized operating model so platform teams can define approved patterns once and application teams can consume them through clear, repeatable golden paths.
Rather than treating infrastructure, application delivery, and post-deployment changes as separate activities owned by different teams, WAForge provides a unified framework for how workloads are assembled, validated, promoted, and operated.
What WAForge Delivers
A comprehensive platform for governed, scalable workload delivery
Standardized Workload Delivery
WAForge creates a single model for delivering workloads across cloud environments. Platform teams define approved blueprints, reusable patterns, and policy-aligned workflows that can be consumed consistently by application teams. Security, artifact controls, release policies, and deployment standards are embedded directly into the path to production
Lower Cognitive Load for Developers
WAForge reduces the need for developers to master every layer of cloud and infrastructure delivery. Instead of designing account structures, networking, deployment logic, and day-two controls independently, teams consume platform-owned patterns that are already aligned to enterprise standards
Platform-owned Blueprints and Reusable Patterns
WAForge hides infrastructure complexity behind governed blueprints for common workload types, whether those workloads run on virtual machines, container platforms, or cloud-native services. This enables a true golden path model without sacrificing standardization or control
End-to-end Governance
WAForge is not limited to initial deployment. It supports a governed lifecycle that includes build, deployment, configuration, and post-deployment change workflows. IAM updates, DNS changes, security group modifications, and similar operational requests can be executed through auditable, Git-backed workflows instead of manual administration
Consistent operational controls
Observability hooks, metadata standards, secrets integration, resiliency expectations, and policy enforcement can be applied consistently across workload patterns. This makes it easier to scale cloud delivery without scaling inconsistency
A framework that spans more than containers
Many delivery platforms focus heavily on container paths alone. WAForge supports container-based delivery, but it also standardizes VM-based and broader infrastructure-backed workload patterns. That makes it especially valuable for enterprises operating across mixed application portfolios
The WAForge Approach
A proven methodology for platform transformation
Step 1
Foundation First
Key Activities
- Establish governed cloud foundation
- Account factory & landing zone patterns
- Stable target state before migration
- Self-service provisioning hooks
Overview
We begin by establishing a governed cloud foundation through account factory and landing zone patterns. This creates a stable target state before application onboarding or migration begins. New accounts, baseline networking, and core cloud patterns are provisioned consistently and exposed through self-service hooks where appropriate.
Governed Day 2 Operations
A true platform model must support more than initial provisioning.
WAForge extends governance into day-two operations by enabling controlled self-service for common post-deployment changes. Requests such as IAM Adjustments, DNS Changes, Routing Updates, or Security Group Modifications can be fulfilled through Git-backed, policy-aligned workflows. This reduces drift, improves auditability, and keeps the environment aligned to its intended state.
Supported Operations
IAM Adjustments
DNS Changes
Routing Updates
Security Group Modifications
Database Configuration
Configuration Management
Why Atyeti + WAForge
Move from fragmented delivery to a repeatable, governed platform operating model—without starting from scratch.
- Define standards once, reuse across teams
- Faster delivery with guardrails built in
- Scale developer experience while staying enterprise-governable
What Atyeti brings
Execution + delivery leadershipHands-on platform engineering with proven methods across foundations, automation, governance, and modernization.
- Implementation leadership and operating model design
- Accelerated rollout without replatforming everything
- Guided shift from one-off builds to repeatable delivery
What WAForge brings
Patterns + acceleratorsA practical framework of governed blueprints to standardize build, deploy, configure, and operate workloads.
- Reusable standards and approved patterns
- Governed self-service with policy-aligned workflows
- Consistency across teams without slowing delivery
Outcome: A platform model that is scalable for developers and governable for the enterprise.
Business Outcomes
Measurable impact across your organization
Standardization
Workloads are delivered through approved blueprints and repeatable workflows instead of one-off engineering patterns
Developer experience
Application teams spend less time dealing with infrastructure complexity and more time delivering business functionality
Governance
Security, policy, observability, and compliance expectations are built into the delivery model rather than applied inconsistently afterward
Auditability
Infrastructure and operational changes are executed through version-controlled workflows instead of manual intervention
Resiliency
Backup, failover, and high-availability expectations can be codified into workload patterns from the start
Scalability
The enterprise gains a reusable platform model that supports growth without multiplying exceptions and operational burden