The infrastructure choices that once enabled scale now create new operational pressure

Many cloud environments were designed for fast scaling and simpler operations. Today, those same architectural choices are being stretched by AI workloads, stricter continuity expectations, and the need to move workloads across teams, regions, or providers.

This shifts the focus from traditional cloud operations toward resolving the new runtime, continuity, and scalability challenges created by growing complexity.

Support AI-ready operations

AI workloads now move into production much faster, forcing infrastructure to handle GPU-heavy demand, sudden compute spikes, and inference costs that rise with usage. This requires stronger scaling control so latency and runtime cost stay stable as demand grows.

Ensure service continuity

Provider outages, deployment incidents, and third-party failures now reach customer journeys and internal workflows much faster than before. Infrastructure needs failover, safe recovery, and workload placement that still holds as risks shift.

Preserve workload optionality

Regional requirements and provider dependency can force hosting decisions to change. Infrastructure should make those moves possible without disruptive redesign.

Simplify operational complexity

As cloud estates expand, controls and deployment paths often diverge across teams. This increases operational effort and slows down future change.

Sigma Software helps infrastructure leaders evolve cloud environments around today’s strategic priorities

Prepare cloud environments for AI workloads

Prepare the cloud layer for GPU-heavy services, sudden compute spikes, and AI runtime patterns without letting latency, cost, and operational complexity grow faster than business value.

We help you to:

  • Design scaling patterns, workload isolation, and orchestration paths for AI-heavy services
  • Improve GPU utilization, runtime cost behavior, and environment efficiency under growing demand
  • Simplify shared infrastructure controls so new AI use cases do not create isolated cloud stacks

Strengthen resilience in live cloud environments

Ensure critical services remain stable throughout outages, deployment incidents, provider failures, and regional disruptions while reducing the operational overhead of recovery and release safety.

We help you to:

  • Implement failover, rollback, and recovery paths that reduce business disruption
  • Standardize deployment, environment isolation, and release controls to lower incident risk
  • Simplify recovery workflows, observability, and workload placement for faster operational response

Increase sovereignty and workload control

Prepare infrastructure for provider dependency shifts, regional control requirements, and repatriation scenarios without forcing disruptive redesign when strategic priorities change.

We help you to:

  • Preserve workload portability across hyperscaler, hybrid, sovereign, and private cloud paths
  • Design vendor-neutral architectures that reduce hard dependency on a single provider
  • Prepare for repatriation, regional control, and sovereignty decisions before they become urgent

Proven in live cloud environments at scale

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Azure migration continuity for regulated device analytics

  • 15+ years of historical CT device data migrated
  • Near real-time analytics pipelines rebuilt on Azure Databricks and Spark
  • Unified ETL templates established for cloud-scale processing
  • Delivered inside a multi-vendor Azure migration program

Sigma Software led the migration of the Usage Analytics component to Azure Cloud, rebuilding ETL pipelines, cloud architecture patterns, and analytics processing flows to preserve reporting continuity during a complex CT platform cloud transition.

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Dual data center consolidation across 240 servers, 100 apps, and 10M+ files

  • Dual data center migration across 240 servers, 100 apps, and 10M+ files
  • AWS landing zone, Terraform governance, and recovery workflows established
  • 90% process automation across platform operations
  • Multi-brand ecosystem platform rebuilt for cloud-scale reliability

Sigma Software modernized the aftermarket platform through large-scale AWS migration, data center consolidation, Terraform-based infrastructure control, and automated recovery workflows that improved scalability, governance, and long-term cloud maintainability.

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White-label AWS tenant isolation for enterprise SLA stability

  • Individual AWS VPC per publisher instance reduced cross-tenant failure risk
  • Dedicated load balancing improved scaling for each white-label environment
  • Proactive monitoring introduced to prevent SLA breaches across enterprise customers
  • Resource utilization optimized to keep cost efficiency under multi-tenant growth

Sigma Software redesigned the self-service advertising platform for large enterprise publishers using the solution as a white-label environment. Isolated AWS architectures per customer instance improved security, scaling control, SLA stability, and cost efficiency as the publisher ecosystem expanded.

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AWS data platform optimization for scale, observability, and 50% lower storage cost

  • AWS Glue improved large-scale video processing efficiency
  • Historical algorithm processing accelerated by 300%
  • Single source of truth reduced storage cost by nearly 50%
  • CloudWatch, CloudTrail, and EventBridge improved monitoring and alert response

Sigma Software optimized the AWS-based data platform to improve large-volume processing, strengthen observability, and reduce long-term storage cost while preparing the environment for future research datasets and evolving security requirements.

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AWS analytics hardening for post-acquisition scale and resilience

  • 2.5M+ events per second processed in near real time
  • 120TB of data daily supported after architecture redesign
  • Latency reduced from 2 hours to 5 minutes under increased enterprise load
  • AWS IaC, EC2, ELB, VPC, and multi-database architecture hardened after acquisition

Sigma Software redesigned and continuously hardened the AWS analytics infrastructure, enabling the platform to absorb sharply increased enterprise load while improving scalability, availability, and long-term robustness.

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GitOps-driven infrastructure standardization with 70% cluster cost reduction

  • GitOps and Infrastructure as Code standardized infrastructure changes
  • CI/CD and careers platform environments rebuilt for repeatable delivery
  • Non-production clusters moved to spot/preemptible instances with 70% cost reduction
  • Grafana monitoring improved infrastructure and system health visibility

Sigma Software helped Ankorstore standardize and automate infrastructure changes through GitOps and IaC practices, while optimizing cluster scaling, non-production environments, and monitoring workflows to improve delivery speed, operational consistency, and cloud cost efficiency.

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Let’s shape the right infrastructure path for your priorities

The right place to start is where external expertise creates the most leverage

Even strong infrastructure teams reach points where the next change cuts across too many moving parts, competes with day-to-day reliability, or requires patterns that are too expensive to learn through trial and error. This is where focused external support helps move the change forward without pulling internal teams away from critical operations.

Cloud Assessment: AI-based, yet human-driven

When infrastructure decisions become too complex to evaluate from a single perspective, Sigma Software combines AI-driven analysis with human expertise to provide a clear, objective view of your environment. We identify inefficiencies, risks, and optimization opportunities across architecture, costs, and operations, helping you prioritize changes that deliver the highest business impact without disrupting ongoing work.

Cloud architecture and modernization

When the current environment becomes harder to evolve, scale, or control, Sigma Software helps you redesign the cloud structure, reset workload boundaries, and shape the right modernization path.

Cloud migration and workload transitions

Transitions across cloud, hybrid, and region-specific environments require more than workload moves. Sigma Software defines controlled migration paths and executes the transition with continuity controls, rollback discipline, and clean cutovers to make sure services remain stable throughout the move.

Infrastructure delivery standardization

We help you replace manual handoffs, team-specific scripts, and inconsistent pipelines with a shared delivery layer built on GitOps, Infrastructure as Code, automation, and repeatable deployment standards, so infrastructure changes stay consistent as teams and environments grow.

Cloud managed services and resilience

Clients involve Sigma Software when keeping cloud operations reliable starts consuming too much internal effort. We introduce monitoring, failover, recovery, and day-to-day operational controls needed to keep live services stable while limiting the impact of incidents.

Cloud cost optimization and governance

As environments expand across teams, regions, and providers, cloud costs can begin growing faster than the business value they support. In such cases, our team steps in to reset scaling rules, workload placement, and governance controls so spend stays proportional to value.

Chosen by infrastructure leaders who need cloud environments that stay easy to evolve

Proven delivery inside live environments

Sigma Software delivers migrations, standardization, and cloud changes in environments where uptime, releases, and active users cannot be put on hold.

Standards that replace one-off fixes

We turn team-specific scripts, fragmented pipelines, and brittle deployment logic into shared automation and repeatable infrastructure standards that reduce the custom logic internal teams need to maintain as cloud estates expand.

Cross-layer execution without handoff gaps

Sigma Software moves architecture, infrastructure delivery, and cloud operations as one connected stream, reducing rework between stages.

Hosting decisions beyond hyperscaler defaults

Our teams help reassess workload placement, regional hosting, and provider choices when cost, control, or sovereignty requirements change.

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The next layer of cloud decisions often moves into control, delivery, and data

Regulatory Compliance

Turn hosting, resilience, and regional requirements into cloud controls that stay aligned with evolving regulations.

Cybersecurity Consulting

Strengthen cloud security architecture, access boundaries, resilience controls, and response readiness across evolving environments.

AI-native SDLC

Extend cloud automation into AI-assisted delivery workflows across CI/CD, quality checks, change impact, and release control.

Data Engineering

Build the data pipelines, storage layers, and platform foundations that naturally follow cloud modernization and workload scaling.
Sigma Software has offices in multiple locations in Europe, Middle East, Northern and Latin America