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Devops for azure

Build, secure, and operate software at enterprise scale

Build, secure, and operate software at enterprise scale

Modernize delivery on Azure with GitHub, reusable automation, embedded security, and reliability engineering.

Modernize delivery on Azure with GitHub, reusable automation, embedded security, and reliability engineering.

Build, secure, and operate software at enterprise scale

Modernize delivery on Azure with GitHub, reusable automation, embedded security, and reliability engineering.

Accelerate delivery at enterprise scale

Accelerate delivery at enterprise scale

Modern engineering teams need speed, security, and reliability built into every stage of software delivery.

Modern engineering teams need speed, security, and reliability built into every stage of software delivery.

1

Automated software delivery

Streamline development and deployment with standardized workflows and CI/CD automation with shift left policy incorporating SecOps in DevOps.

1

Automated software delivery

Streamline development and deployment with standardized workflows and CI/CD automation with shift left policy incorporating SecOps in DevOps.

2

Integrated security and compliance

Embed security controls throughout the software lifecycle to reduce risk and improve governance.

2

Integrated security and compliance

Embed security controls throughout the software lifecycle to reduce risk and improve governance.

3

Connected engineering visibility

Gain traceability across requirements, code, testing, and production releases.

3

Connected engineering visibility

Gain traceability across requirements, code, testing, and production releases.

4

Reliable operations

Improve platform stability with observability, monitoring, and proactive reliability engineering.

4

Reliable operations

Improve platform stability with observability, monitoring, and proactive reliability engineering.

From plan to production,
with continuous feedback

From plan to production,
with continuous feedback

A lifecycle approach connects engineering velocity, security, governance, and operations.

A lifecycle approach connects engineering velocity, security, governance, and operations.

The cycle of taking decisions for CPG industries
The cycle of taking decisions for CPG industries

Enterprise Ops: Architecture to operations

From plan to production, with continuous feedback

Our platform engineering approach integrates cutting-edge technologies with advanced practices like cognitive automation for failure prediction and FinOps for cost optimization. We ensure seamless web, data, and AI application lifecycle management from integration to decision insight, with built in traceability, lineage, and robust security measures.

A lifecycle approach connects engineering velocity, security, governance, and operations.

decisioning cycle-weeks
The cycle of taking decisions for CPG industries

Comprehensive solutions for scalable,
secure and efficient data and analytics platforms

Comprehensive solutions for scalable,
secure and efficient data and analytics platforms

1

Architecture and Design

  • Workload-specific architectures

  • Secure landing zones

  • Centralized Control

  • Cost Optimization in platform design

1

Architecture and Design

  • Workload-specific architectures

  • Secure landing zones

  • Centralized Control

  • Cost Optimization in platform design

2

Implementation and DevSecOps

  • IAC for automated platform provisioning

  • Federated DevSecOps with parameterized CI/CD pipeline management

  • Container orchestration security, release, and operation management

  • SecOps integration with CI/CD

2

Implementation and DevSecOps

  • IAC for automated platform provisioning

  • Federated DevSecOps with parameterized CI/CD pipeline management

  • Container orchestration security, release, and operation management

  • SecOps integration with CI/CD

3

DataOps and MLOps

  • ETL pipeline management with integrated DQ

  • Data monitoring and alert mechanisms

  • Model versioning, monitoring, and refresh

  • Integration with Databricks, ADF, Airflow, MLFlow

3

DataOps and MLOps

  • ETL pipeline management with integrated DQ

  • Data monitoring and alert mechanisms

  • Model versioning, monitoring, and refresh

  • Integration with Databricks, ADF, Airflow, MLFlow

4

Reliability and Observability

  • SLO and SLI discovery and implementation

  • Advanced telemetry setup

  • L1/L2/L3 support for cloud systems, networking, IAM, and databases

  • Integration with Grafana, AppDynamics, Splunk

5

FinOps

  • Tagging framework; monitor and report on cost consumption daily, weekly, and monthly

  • Optimizing cost using capacity and performance reporting

  • Integrating observability with FinOps

5

FinOps

  • Tagging framework; monitor and report on cost consumption daily, weekly, and monthly

  • Optimizing cost using capacity and performance reporting

  • Integrating observability with FinOps

Faster decisions.
Lower risk.
Smarter Underwriting.

Recognition and achievements

Select Fractal accolades

Leader

The Forrester Wave: Customer Analytics Services Q2, 2025

Representative vendor

Gartner Hype Cycle for Consumer Goods, 2026

Great Place to Work

Great Place to Work® across four regions: India (9th year), USA (5th year), UK (5th year) and UAE (2nd year)

Recognition and achievements

Select Fractal accolades

Leader

The Forrester Wave: Customer Analytics Services Q2, 2025

Representative vendor

Gartner Hype Cycle for Consumer Goods, 2026

Great Place to Work

Great Place to Work® across four regions: India (9th year), USA (5th year), UK (5th year) and UAE (2nd year)