From bare-metal provisioning to autonomous AI agents — ViswaNext engineers the full platform stack so you launch in clicks, not months.
What We Engineer
ViswaNext covers the entire platform stack — from server firmware and IPAM to agentic AI pipelines — with a single integrated GitOps workflow.
Zero-touch server provisioning via GitOps — PXE boot, OS install, Ansible config, network fabric — all automated end-to-end in minutes.
VMware vSphere, NSX-T, vSAN — automated VM lifecycle, resource-pool governance, network and storage policy enforcement at enterprise scale.
Plug in Conversational AI, RAG pipelines, and autonomous multi-agent systems directly into your platform ops layer — no re-architecture needed.
Lakehouse architecture, ELT pipelines, real-time streaming — from raw ingestion to BI dashboards on BigQuery, Synapse, or Snowflake.
Real-time cost anomaly detection, automated tagging enforcement, chargeback engines, and savings-plan optimisation across Azure, AWS, GCP.
HashiCorp Vault dynamic secrets, PKI CA auto-rotation, IAM federation, and Zero Trust segmentation across all cloud and on-prem estates.
Platform Architecture
A unified engineering stack spanning AI, cloud orchestration, infrastructure, data, and security — deployed as code, governed as policy.
Start with a 1-hour architecture review. No commitment — just clarity on your best path forward.
Private Cloud Engineering
VMware vSphere, HPE Synergy, SimpliVity, and Morpheus CMP — engineered for workload consolidation, automated VM lifecycle, and policy-driven compute fabric.
Deep R&D on HPE SimpliVity, Synergy Composable Infrastructure, and HPE GreenLake — workload consolidation, vSAN storage tiering, compute fabric automation.
Automated VM provisioning via vRealize Automation + PowerCLI — template management, resource-pool governance, storage and network policy enforcement at scale.
Morpheus-powered self-service VM provisioning workflows, ITIL service catalogues, cost-allocation tagging automation, and chargeback reporting.
HPE-OEM Azure Stack private cloud — tenant isolation, compute resource pools, hybrid connectivity bridges to public Azure via ExpressRoute.
Arista EOS-driven network automation — BGP peering, EVPN/VXLAN overlay, VLAN management via gNMI/SSH. Full fabric-as-code.
HashiCorp Vault auto-unseal, dynamic secrets per-job, PKI CA rotation — zero hard-coded credentials anywhere in the pipeline.
ViswaNext's GitOps pipeline takes a bare rack-and-stack server from zero to a fully configured, network-attached, OS-installed VM in under 15 minutes — without a single manual step.
Public Cloud Platform
Azure, AWS, GCP — multi-cloud VPC mesh networking, IAM federation, policy-as-code governance, and hybrid connectivity engineered as a unified platform.
AAD/IDaaS, ADFS, App Service, Azure Stack, ADF, Synapse, ExpressRoute, Azure Policy — full enterprise landing zone with hybrid connectivity and governance rails.
Landing Zone, VPC mesh, Route 53, ECS, ELB/ALB, Direct Connect, AWS MGN, S3, RDS, DAX, CloudWatch, Autoscaling — production-grade multi-account AWS.
Anthos, App Engine, Vertex AI, BigQuery, GKE, Cloud Run, Pub/Sub, Stackdriver — full GCP with AI/ML platform integration and real-time streaming.
Multi-cloud VPC peering, Transit Gateway, ExpressRoute, Direct Connect, and private connectivity bridging on-prem to all three hyperscalers.
GKE, EKS, AKS, Docker, Cloud Run — Kubernetes platform engineering with namespace governance, workload identity, and GitOps-driven deployments.
Terraform, ARM, PowerShell DSC, Sentinel — policy-as-code governance, drift detection, and modular IaC across all cloud providers.
AI Platform Engineering
Pre-built AI platform integrations drop directly into your cloud or on-prem infrastructure — RAG pipelines, multi-agent systems, LLM serving, and voice AI in a few configuration clicks.
AutoGen, CrewAI, LangGraph — tool-use agents with memory persistence, reinforcement loops, and orchestrated task decomposition. Built for enterprise workflows, not demos.
LangChain + LlamaIndex pipelines — embedding stores (Pinecone, Weaviate, FAISS), semantic caching at sub-200ms for 50M+ interactions/yr. Real knowledge, not hallucination.
Google CCAI, Dialogflow CX, Amazon Lex — NLU/NLP systems replacing DTMF with semantic understanding. Achieved 45% AHT reduction in production deployments.
Model serving on GCP/AWS with vLLM and TGI — fine-tuning pipelines (LoRA/QLoRA), structured output, and semantic caching. Your data stays on your infrastructure.
AI-augmented platform operations — anomaly detection, predictive scaling, cost intelligence, and autonomous incident response wired into your existing monitoring stack.
Real-time IoT telemetry ingestion — Azure ML, Databricks structured streaming, and predictive maintenance pipelines for industrial operations at Honeywell scale.
ViswaNext's bespoke RAG-based ecosystem was engineered to serve 50M+ annual interactions at sub-200ms latency — replacing static DTMF menus with live semantic retrieval.
Data Platform Engineering
Cloud-native data platforms — ELT pipelines, lakehouse architecture, real-time streaming, and BI — engineered from raw ingestion to production analytics.
BigQuery + Delta Lake — lakehouse design with medallion layers (bronze/silver/gold), ACID transactions, and unified batch + streaming compute.
dbt, Dataflow, ADF, Informatica IDMC — ELT/ETL pipelines with CDC, schema evolution, lineage tracking, and automated data quality gates.
Pub/Sub, Event Hubs, WebSocket, Kafka — streaming ingestion with exactly-once semantics, stateful aggregation, and low-latency dashboards.
SQL Server (MCDBA), Oracle (PL/SQL), PostgreSQL, DynamoDB, Bigtable — performance tuning, partitioning, HA clustering, replication, and index engineering.
Power BI, Looker, CloudWatch, Stackdriver, Datadog — connected to your lakehouse, delivering real-time operational and financial dashboards.
SSIS → Informatica → ADF → dbt → Spark — full modernisation path from legacy on-prem ETL to cloud-native ELT with zero data loss validation.
Zero-Touch Provisioning
A production-grade, end-to-end GitOps pipeline that takes a bare server from power-off to fully configured, network-attached production VM — automatically.
Infrastructure-as-code in GitLab. All provisioning workflows version-controlled and peer-reviewed before pipeline triggers.
GitLab CI/CD or Jenkins runner inside the private network — the single integration point connecting all downstream systems.
Runner calls HashiCorp Vault — BMC credentials, NetBox API token, switch credentials injected dynamically. Zero hard-coded secrets.
Runner queries NetBox: server name, rack location, management IP, PXE network. Single source of truth for all infrastructure inventory.
IBM XClarity powers on the server via BMC, sets boot order to PXE. Management network connection only — no OS yet.
Server boots to PXE → DHCP → TFTP bootloader → kernel+initrd → Foreman installs OS. Temporary PXE IP at this stage.
Runner SSH connects to server's static IP (from NetBox). Ansible configures: packages, networking, KVM hypervisor, OVS.
Runner configures Arista switches via gNMI/SSH — BGP peering, EVPN/VXLAN overlay, VLAN assignment on the fabric.
Runner closes the loop — marks server status "active", IP assigned, role assigned. Full inventory reconciliation in NetBox.
App Modernization
From legacy .NET monoliths and Oracle databases to cloud-native containerised microservices — ViswaNext engineers the full modernisation journey.
Migration wave-planning tooling, dependency mapping, TCO/ROI modelling, and execution using AWS MGN, Azure Migrate, and custom containerisation pipelines.
Containerisation of legacy apps, multi-stage Docker builds, Kubernetes deployment manifests, Helm charts, and GitOps-driven continuous delivery pipelines.
Platform management REST APIs, CMP integration connectors, inventory automation, and telemetry dashboards — built in Python, Node.js, and .NET.
Zero-Warmup serverless execution patterns — Lambda, Cloud Run, Azure Functions with parallelised semantic caching achieving 80% OpEx efficiency.
Self-service portals, telemetry dashboards, VM provisioning UIs, and ITIL service catalogues — bespoke platform apps accelerating operator productivity.
Embed conversational AI and agentic assistants directly into modernised apps — from AI-assisted code migration to intelligent document processing pipelines.
FinOps Engineering
Automated tagging pipelines, cost anomaly detection, chargeback/showback engines, and rightsizing automation — FinOps as an engineering discipline, not a spreadsheet exercise.
ML-driven anomaly detection across Azure Cost Management, AWS Cost Explorer, and GCP Billing APIs — real-time alerts before budgets are exceeded.
Automated tagging pipeline enforcement — Lambda/Functions-driven tag compliance, policy-as-code via Sentinel, and retroactive tag remediation workflows.
Unit-economics-level cost visibility — automated chargeback allocation to business units, showback dashboards, and per-workload cost attribution in Power BI and Looker.
Continuous rightsizing recommendations enforced automatically via Lambda/Functions — idle resource termination, reserved instance optimisation, savings-plan purchasing.
Conversational FinOps agent — ask "Why did my GCP bill spike this week?" and get root-cause analysis, affected workloads, and recommended actions in natural language.
Executive-level and engineering-level FinOps dashboards — real-time spend, budget burn-rate, forecast vs. actuals, and savings achieved this month.
Engagement Models