Enterprise Vision & Solution
Enterprise Solution
Enterprises evolve into complex environments due to their scale, regulatory obligations, and years of accumulated technology decisions. This creates a landscape filled with legacy systems, fragmented tooling, high operational costs, and a limited ability to change quickly.
The Enterprise Challenge
A typical enterprise relies on large managed-services contracts where responsibilities are split--for example, separating container operations from managed databases. This division breaks automation, weakens security, and produces a fragmented, inconsistent stack. As a result, organizations struggle to build cloud-agnostic architectures and instead fall into default region and vendor lock-in by design.
Current State of Enterprise Configuration
Configuration generation today is still heavily manual--performed by people with varied skill levels, supported inconsistently by AI assistants. Standards differ across teams, and AI often produces information that is either overly detailed or overly abstract. The outcome is hundreds of disparate repositories with no shared structure, no knowledge relationships, and no unified engineering language.
Platform Paradox
Modern enterprise platforms, which should centralize operations, often have the opposite effect: they create more parallel insights, more isolated workflows, and no true 360 degree visibility across actions, changes, human errors, or security posture. There is no unified control layer that tracks or governs user actions at the stack level.
The Human Process Bottleneck
When you factor in human processes--approvals, change reviews, regulatory checks, compliance gates--the engineering engine becomes slow, constrained, and expensive. Organizations end up with powerful infrastructure capabilities trapped behind blockers and legacy constraints, unable to adapt at the speed the business requires.
| Process Layer | Result |
|---|---|
| Approval Gates | Slow deployment cycles |
| Change Reviews | Manual coordination overhead |
| Regulatory Checks | Extended timelines |
| Compliance Gates | Innovation blockers |
Enterprise Application Farms: The Current Reality
The following diagram illustrates a typical enterprise setup with all its complexity, fragmentation, and operational challenges:
Key Observations from the Diagram
The enterprise environment typically consists of:
| Zone | Technologies | Challenges |
|---|---|---|
| Config Push | YAML, JSON, Python, API + AI tools | No standards, inconsistent outputs, challange to track & rollback |
| Kubernetes | Containers, microservices, GitOps, | usually partial Gitops, old CRDs, not up2date version and no Databases managed in K8s |
| VM/Legacy | Deprecated databases, old systems | EOL services in production, lots of migration plans in the roadmap |
| AWS Managed | RDS, Aurora, S3, Lambda | Vendor lock-in by design, no cloud agnostic ,no portability |
| External Systems | Identity, secrets, monitoring | Split policies, fragmented RBAC & policies |
Cross-Platform Communication Breaks Everything
| Connection | What Breaks |
|---|---|
| K8s ↔ VM | IAC (Terraform), GitOps, Declarative K8s yaml (automation mess) |
| K8s ↔ AWS | Automation, creates lock-in, additional security overhead |
| VM ↔ AWS | break Security, observability into 2 |
| ALL ↔ External | Unified RBAC, policies |
Enterprise Pain Points Summary
| Category | Issues |
|---|---|
| Architecture | Vendor lock-in by design, fragmented stacks |
| Operations | Broken automation, high costs |
| Security | Weakened posture due to fragmentation |
| Agility | Unable to adapt at business speed |
| Visibility | No unified 360 degree view of the stack |
| Control | No stack-level governance layer |
| cloud agnostic | No cloud agnostic , no portability, no migrations or multi cloud strategy |
The Solution: Centralization, Deep Automation, and Full-Stack Control
The path forward for enterprises is to centralize their technology landscape and inject automation into every layer. To do this effectively, you need an upper control layer that understands the full 360 degree relationship between systems--capturing complexity as versions, enabling instant rollback, safe duplication, and controlled collaboration. This layer removes risk from production changes and eliminates operational overhead while empowering teams to innovate.
Stacktic was built on the principle of generic automation logic expressed through smart, relationship-aware workflows.
This allows us to automate deeply across individual stacks and across cross-stack relationships.
Our Enterprise Goals and Approach
Application Factory: 90% Ops Automation
We deliver an Application Factory engineered to aggressively automate up to 90% of Ops, DevOps, SRE, and DataOps work, while providing full lifecycle visibility--from topology to versioning to security posture.
Our solution is designed to give the enterprise the centralization it has been missing.
See It in Action
Watch how Stacktic automates the entire enterprise stack lifecycle:
Complete Enterprise Architecture
The following diagram shows the complete Stacktic enterprise architecture with centralized clusters and automated cross-stack relationships:
How Stacktic Works in Practice
Teams create and manage application stacks (staging, production, and more), and connect them to shared enterprise stacks such as observability, AI, security, or messaging. Stacktic automatically orchestrates the relationships, routing, validation, and configuration between them.
Example: Observability Stack
A team creates an application stack and connects it to the central observability stack.
Stacktic automatically generates:
| Component | Output |
|---|---|
| Dashboards | Hundreds of customized detailed dashboards devided by Stacks |
| Alerting | Production-ready centralized alerting system for security, resliance, performance and policies |
| components Insights | stack-level , db and app level monitoring and metrics |
| Cluster Labels | Cluster-aware labels and tags on all metrics & dashboards |
| log aggregation | Complete production-ready log scaled aggregation solution |
Result: All completed without manual configuration.
Day-2 Operations: Fully Automated, Enterprise-Ready
Beyond initial deployment, Stacktic delivers a full Day-2 automation suite, giving enterprises total operational governance.
1. Audit & CISO Intelligence
Receive automated audit reports, security insights, and improvement recommendations based on real stack behavior.
2. Unified Control Center
Manage resources, secrets, and environments--across entire stacks or individual services--from a single pane of glass.
| Control Area | Description |
|---|---|
| Resource Management | Cross-stack resource visibility and control |
| Secret Management | Centralized secrets across all environments |
| Environment Control | Unified staging/production management |
| Service-Level Access | Granular or broad control options |
3. Instant Rollbacks & Migration Automation
Perform rollbacks, approve air-gapped automation flows, and manage staging/production migrations with a single click.
| Operation | Automation Level |
|---|---|
| Rollbacks | One-click full stack rollback |
| Air-Gapped Flows | Secure approval workflows |
| Migrations | Automated staging ↔ production |
| Version Control | Complete stack versioning |
4. Autonomous Validation Agent
Our validation agent inspects and tests every layer of the stack--next-generation, fully automated verification that ensures correctness before changes reach production.
| Validation Layer | Coverage |
|---|---|
| Infrastructure | Network, resilience, storage validation |
| Application | Service health and dependency checks |
| Security | Policy compliance and vulnerability scanning |
| Data | Data integrity and backup verification |
Next Steps
- Learn Core Concepts - Understand key terminology and architecture
- Quick Start Guide - Get started with your first stack
- Architecture Overview - Deep dive into system design
Stacktic: Transforming enterprise complexity into unified simplicity.