Microsoft & Azure Archives - Krish Services Group

Building a Secure and Cost-Efficient Data Platform with Azure

Overview

A mid-sized U.S. financial organization was running critical data and reporting on an on-premises SQL Server setup that started to struggle as the business grew. They faced significant challenges in scaling the system, meeting strict compliance requirements, and maintaining data security. We migrated their databases and SSIS workloads to Azure, providing them with a more secure, scalable, and cost-effective setup that supports better reporting, automation, and compliance.

Client Background

A mid-sized U.S.-based financial services organization handled large volumes of financial data across transactional systems and reporting functions. These operations were supported by multiple interconnected databases and data processing workflows critical to daily business operations.

Challenges

Legacy Setup Holding Back Operations: Their on-prem SQL Servers needed constant manual maintenance, and SSIS jobs were tightly tied to the same setup, making changes and scaling difficult.
Security and Compliance Pressure: They had to meet strict financial regulations, ensure strong access control, and avoid any public exposure, which made the existing setup harder to manage.
Rising and Unnecessary Costs: The infrastructure led to higher compute costs without actual usage or business value.

Solutions

Moving to a Flexible Cloud Setup
We moved their data and workflows to Azure using Azure SQL Managed Instance and Azure Data Factory, making the system easier to scale and manage.
Streamlined Data Flow and Updates
Data flow was automated using Azure Data Factory and Logic Apps to handle updates and notifications without manual effort or constant monitoring.
Automation to Reduce Costs
Automated system start & stop schedules, ensuring resources run only when needed and reducing unnecessary costs.
Strong and Simple Security Setup
Built a private, secure setup using a managed VNET, private endpoints, and identity-based access to protect sensitive financial data.

Business Value Proposition

Smooth and Reliable Data Migration
Moved 100GB data to Azure with minimal disruption and stable performance.
Faster and Simpler Data Processing
Replaced older processes, improving data flow speed by around 25%.
Less Manual Work with Automation
Automated data updates and alerts, reducing manual effort by nearly 30%.
Lower Infrastructure and Running Costs
Optimized usage reduced overall system costs by approximately 20- 25%.

Final Perspective

Krish turned a rigid, high-maintenance setup into a secure, flexible system, improving reliability, reducing costs, and making daily operations smoother, while helping the business handle growth and compliance with far less effort.

Securing Analytics in Manufacturing Unit Using Azure Private AI Platform

Overview

The company needed a secure internal chatbot that could answer questions about Snowflake data without using the public internet. It also had to meet strict security standards. We built a private setup on Microsoft Azure that allowed employees to safely search company data while keeping all systems protected and controlled.

Client Background

A large, US-based design and manufacturing company with more than 6,000 employees utilizes Snowflake to manage data across engineering, finance, and operations. They needed a secure method for employees to access company data through a private internal AI system.

Challenges

IP Theft Risk: The company stored high-value design and manufacturing data that must stay safe from leaks or misuse.

No Secure Data Tool: Employees did not have a safe internal system to search and use company data easily.

Public Exposure Risk: Connecting systems through the public internet increased the risk of cyber-attacks and data breaches.

Compliance Pressure: The company had to meet NIST 800-53, CMMC Level 2, ISO 27001, and SOC 2 security standards.

Weak Access Control: They needed a system where every user must be verified before accessing sensitive company data.

Unsafe System Connectivity Risk: Azure services and Snowflake needed a fully private and secure connection without public access.

Solutions

1. Private and Secure Platform Setup

Deployed a Private Cloud Environment: Built a fully private setup on Microsoft Azure with no public internet exposure.

Secured Enterprise Chat Access: Deployed a private chatbot using Azure OpenAI and ChatGPT 5.2 Turbo model securely.

Protected Snowflake Connectivity: Connected Snowflake through Private Link to keep all data traffic internal.

2. Strong Access and Network Protection

Secured Traffic Management: Implemented Azure Application Gateway with WAF and OWASP 3.0 rules protection.

Controlled Internal Networking: Configured Private Endpoints, Hub Spoke model, DNS zones, and Network Security Groups.

3. Data Security and Compliance Control

Secured Secrets and Encryption: Stored keys in Azure Key Vault with Managed Identity and full encryption.

Governed Query Processing: Azure Functions validated users, generated controlled SQL, and returned safe responses.

Compliance and Monitoring Alignment: Aligned with NIST 800 53, CMMC Level 2, ISO 27001, and SOC 2 standards.

Business Value Proposition

60% Faster Insights: Enabled employees to access analytics 60% faster across departments.
70% Lower Attack Surface: Reduced exposed systems by 70% through private network design.
Serverless Cost Optimization: Reduced infrastructure and maintenance costs.

Final Perspective

The company now operates with stronger security, faster access to data, and reduced risk exposure. Teams work with better visibility across systems and make better decisions while keeping sensitive information fully protected.

Next, the focus will be on adding RAG, Microsoft Purview integration, anomaly detection, and stronger data classification to further improve control and oversight.

Centralized Reporting for a Hotel Group with Azure Synapse

Overview

A luxury hospitality group in Southeast Asia struggled to combine data coming from many systems and file types. Reports took days and delayed decisions. Krish Services Group built a modern analytics platform on Microsoft Azure. Leaders could view key business metrics within hours, helping teams act faster and manage properties more effectively.

Client Background

The client operates large number of hotels, resorts, and serviced apartments across Southeast Asia. Each property tracks occupancy, revenue, costs, and guest satisfaction using different tools and local systems. Data was spread across countries, languages, and formats, making it hard for leadership to get a single, clear view of business performance.

Challenges

Data Silos Across Systems: Critical data was stored in flat files, SharePoint lists, and SQL databases, resulting in slow and error-prone reporting.
Manual ETL Pipelines: Data was cleansed and combined manually in Excel, with no automation or lineage tracking.
Delayed Access to Insights: Reports were refreshed weekly, which limited the ability to respond to performance changes in real-time.

Solutions

Azure Synapse Implementation: We built a centralized SQL pool using Azure Synapse Analytics to ingest and manage data from multiple sources.
Data Factory Pipelines and Cleansing: ADF and mapping data flows were used to automate transformations, deduplication, and quality checks.
Power BI Dashboards: Visual dashboards enabled daily tracking of revenue, bookings, occupancy, and customer satisfaction metrics.

Technology in Use

Azure Data Lake

Azure Synapse Analytics

Azure Data Factory

Power BI

Business Value Propositions

Faster Reporting Cycles: Reduced report refresh time from hours to a few hours, enabling same-day business reviews.
Improved Data Governance: Established clear data controls and audit trails, improving trust and accountability for leadership teams.
Wider Data Visibility: Enabled consistent access to key metrics across departments through centralized dashboards and reporting.
AI-Ready Data Foundation: Created a structured data platform that supports future forecasting and advanced analytics initiatives.

Final Perspective

To facilitate quicker, data-driven operational and financial choices, Krish Services Group provided a scalable Azure analytics platform that unified complicated hospitality data, increased reporting speed, and offered leadership across hotels and resorts with timely, dependable insights.

Improving API Governance and Developer Experience Using Azure

Overview

A large utility provider runs many customer and internal systems using APIs. As their digital services expanded, managing security and access became difficult. They approached Krish Services to implement Azure API Management, creating a central platform that improved security controls, simplified integrations, and gave teams better visibility and control across all APIs.

Client Background

The client is a utility provider delivering power and energy services across multiple regions. Their operations depend on customer portals, internal applications, and partner systems that exchange data through hundreds of APIs. These systems support daily service delivery, billing, monitoring, and customer interactions across a wide digital ecosystem.

Challenges

Uncontrolled API Expansion: Different teams built and published APIs separately, with no central visibility, shared standards, or consistent monitoring across environments.
Security and Compliance Gaps: APIs used mixed authentication methods, weak access controls, and undocumented endpoints, increasing security exposure and audit risks.
Limited API Visibility and Governance: Operations teams lacked a single view to track API usage, performance, versioning, and ownership across internal and external systems.
Slow Partner and Developer Onboarding: Partners had no central portal or clear documentation, causing confusion, repeated questions, and longer integration timelines.

Our Solution

Azure API Management Implementation: We centralized all API endpoints under Azure API Management, standardizing access, tracking, and throttling rules.

Security and Policy Enforcement: OAuth2 authentication, IP whitelisting, and logging policies were applied across environments for consistency and control.

Developer Portal Launch: A branded portal was deployed, offering self-service documentation, test consoles, and onboarding workflows for developers.

Our Solution

Azure API Management Implementation: We centralized all API endpoints under Azure API Management, standardizing access, tracking, and throttling rules.

Security and Policy Enforcement: OAuth2 authentication, IP whitelisting, and logging policies were applied across environments for consistency and control.

Developer Portal Launch: A branded portal was deployed, offering self-service documentation, test consoles, and onboarding workflows for developers.

Technology in Use

Azure API Management

Azure DevOps

OAuth2

Azure Monitor

Developer Portal

Business Outcomes

Stronger API control and visibility: Gained centralized control over more than 100 APIs, with clear ownership.
Faster partner and developer onboarding: Reduced onboarding time by 40% through a single developer portal.
Improved security and audit readiness: Applied consistent security policies and access controls, making APIs easier to audit.
Quicker integration delivery: Enabled teams to launch new integrations faster without breaking existing systems or compliance requirements.

Final Perspective

Krish Services Group implemented Azure API Management to centralize APIs, strengthen security, and simplify integrations, helping the client scale digital services confidently and achieve long-term operational efficiency.

Driving Energy Efficiency Using Azure IoT Analytics

Overview

A global energy services company collaborates with large facilities to utilize IoT sensors and track energy usage. As data volumes grew, their systems struggled to provide timely insights. They partnered with Krish Services to build an Azure-based analytics platform that turned sensor data into clear signals, enabling early action, lower costs, and better energy efficiency.

Client Background

The client is a global provider of smart energy services for industrial customers. They deploy sensors across buildings and equipment to track energy usage, improve performance, and support sustainability goals. Their focus is on helping organizations lower energy costs, reduce waste, and operate more efficiently across large, distributed environments.

Challenges

Disconnected IoT Data Sources: Unreliable analysis and a lack of a trusted operational view due to sensor data arriving in different formats across sites.
Delayed Real-Time Monitoring: Delayed visibility into energy spikes and device failures due to batch processing, causing higher costs, slower responses, and missed efficiency opportunities daily.
Inability to Scale Data Processing: Legacy infrastructure could not handle growing IoT data volumes, restricting expansion, increasing risk, and limiting future analytics capabilities for the business.

Solutions

Centralized IoT Data Platform: Built an Azure data lake with Databricks to ingest, clean, and analyze sensor data, enabling reliable anomaly detection at scale.
Real-Time Operational Dashboards: Delivered Power BI dashboards showing live energy metrics across sites, helping teams spot issues faster and act quickly and confidently.
Scalable Streaming Architecture: Designed a scalable Azure architecture to process millions of records daily, supporting alerts, growth, and future sensor expansion reliably and securely.

Technology in Use

Azure Data Lake

Azure Databricks

Azure Synapse Analytics

Azure Event Hub

Power BI

Business Value Propositions

Predictive Maintenance Enablement: Early anomaly detection helped teams address equipment issues before failures, reducing unplanned outages and maintenance surprises.
Lower Energy Waste and Downtime: Real-time monitoring reduced energy spikes and downtime, improving operational efficiency and controlling ongoing operational costs.
Sustainability Visibility: Clear dashboards gave leaders visibility into energy usage patterns, supporting sustainability targets and carbon reduction initiatives.
Future-Ready Data Platform: A flexible architecture allows easy onboarding of new sensors without redesigning systems or disrupting operations.

Final Perspective

We unified IoT data on Azure, enabling predictive maintenance and energy savings today, while preparing scalable analytics that will improve sustainability, reliability, and faster decision-making across future operations globally.

Centralized Payroll and HR Data for an Australian Company via Microsoft Fabric

Overview

A large community services provider in Australia needed timely and accurate insights from its HR and payroll systems. We implemented a Microsoft Fabric data warehouse that combined data from several sources into one place. This decreased manual reporting, enhanced data accuracy, and gave leadership real-time visibility to support better decisions and compliance.

Client Background

Our client delivers aged care, disability support, and family services across several regions in Australia. Their HR and payroll data were spread across different systems, making reporting slow and inconsistent. Teams relied on manual spreadsheets to prepare reports, which increased effort and risk. They needed a more reliable and unified way to manage workforce data.

Challenges

Inconsistent Workforce Data: HR and payroll data lived across multiple systems and APIs, making it difficult to create a single view for reporting and compliance.
Manual and Time-Consuming Reporting: Teams relied heavily on spreadsheets and exports, spending hours preparing reports and validating numbers instead of focusing on operational work.
No Real-Time Visibility for Leadership: Decision-makers lacked access to live workforce data, limiting their ability to track trends, respond quickly, and plan across regions and departments.

Solutions

Modern Data Platform with Microsoft Fabric: Created a data warehouse (Microsoft Fabric) to securely ingest data from 19 Zambion Payroll APIs, enabling unified payroll analytics and real-time business insights through Power BI dashboards.
Power BI Semantic Modelling: Star-schema models were built on top of the dataset to enable intuitive reporting and drill-down analytics.
Governance and Security Controls: Implemented Microsoft Purview, Row-Level Security (RLS), and role-based access controls to maintain compliance with Australian privacy standards.

Technology in Use

Microsoft Fabric
Power BI
Zambion APIs
Azure Data Pipelines
Microsoft Purview

Business Value Propositions

Real-Time Workforce Insights: Leaders could access live HR and payroll data to plan staffing, budgets, and resource needs accurately.
Faster Reporting Cycles: Reduced report preparation time from 12 hours to under 1 hour with automated pipelines.
Stronger Data Governance: Improved data accuracy, audit readiness, and compliance with organizational governance standards through centralized controls.
Self-Service for Leaders: Secure access to trusted reports and dashboards without relying on manual data requests.

Final Perspective

By unifying HR and payroll data into a governed, real-time platform, we simplified reporting, improved visibility, and helped leaders make faster, more confident workforce decisions.

Modernizing Matrimony Platform with Secure Governance and Scalable Azure

Overview

For one of our clients, a non-profit organization, we upgraded an old WordPress-based matrimony website. The existing system was hard to manage, slow to use, and risky for handling personal data. We redesigned the platform with a modern application setup that was safer, more user-friendly, and scalable. It also made daily operations easier for both users and administrators.

Client Background

Our client is a non-profit organization based in India that supports a church community through matrimony services. They manage member profiles, matching activities, and communication between families. Their work involves handling personal and sensitive information, so trust and data safety are critical.

As the community grew, they needed a system that was reliable, easy to manage, and secure. Their aim was to update the platform without losing the user experience.

Challenges

Growth and System Limits: The existing platform struggled as users and data increased, leading to slow responses and frequent strain during peak activity.
Hard-to-Manage Platform: Small changes took too long because custom updates were complex, fragile, and often disrupted daily operations.
Data Security and Trust Risks: Personal information lacked modern protection, increasing risk and making it harder to meet today’s security expectations.
Performance and Workflow Gaps: Slow page loads, rigid processes, and unreliable background tasks reduced staff productivity and affected timely communication with users.

Solutions

Modern, Scalable Foundation: The old WordPress platform was migrated to a rebuilt modular setup with clean APIs that supported growth, simplified changes, and removed long-term technical risk.
Strong Data Protection and Access Security: Sensitive profiles and files were encrypted, with controlled access and clear tracking to reduce exposure.
Proactive Monitoring and Stability: The system remained stable, and activities were operational due to built-in monitoring and warnings that helped identify problems early.
Smarter Automated Workflows: Matching steps and notifications were streamlined to reduce manual effort and ensure timely communication across channels.

Technology in Use

.NET 8 Web API (Backend)

Angular (Frontend)

Azure App Service

Azure SQL

Azure Blob

SendGrid

JWT-based authentication

Business Value Propositions

Security and Trust: Increased security for private data, which enhanced trust among stakeholders and users.
Operational Effort Reduced: Automated workflows reduced manual coordination by approximately 20-30% across profile reviews, notifications, and routine follow-ups.
Stable Performance: Page response times improved by 30-40%, with consistent performance during higher user activity periods.
Lower Support and Maintenance Load: Support tickets and routine fixes were reduced by nearly 25%.
Reduced Overhead Cost: Optimised hosting and managed services helped lower monthly infrastructure costs by 10–15%.

Future Perspective

The modernization focused first on building a secure, stable foundation that could support daily operations without risk or delays.

Further, the platform will introduce role-based privacy controls, configurable workflow modules, and integrated analytics dashboards. These additions will help the client manage sensitive data more precisely, adapt matchmaking processes faster, and gain clear visibility into engagement.

Balancing Risk Control and Business Speed with Unified Security Operations in the Energy Industry

Overview

Our client is a large energy provider serving residential, commercial, and industrial customers across Australia. Their IT infrastructure was distributed across on-premises servers and Azure environments in multiple locations. Due to this setup, security visibility was limited, making it difficult to detect threats on time and resulting in slower incident response.

We implemented a unified monitoring solution that consolidated all systems into a single, centralized view. We automated threat detection and response that improved visibility, reduced response times, and improved the overall security posture.

Client Background

Our client is one of Australia’s top energy suppliers, offering electricity to commercial, industrial, and residential clients. They have a nationwide operations footprint, on-premises systems, and Microsoft Azure cloud environments spread across several sites.

Challenges

Lack of Security Visibility: Insufficient visibility of threats and a slow response due to security logs spread across on-premises devices and cloud platforms.
Lack of Centralised SIEM and SOAR Platform: Limited log correlation, automated response, and effective security operations due to the absence of a SIEM with SOAR.
Manual Alert Triage and Response: Increased response time and operational failures across incidents as security teams relied on manual investigation.
Limited Integration with Microsoft Security Tools: Ineffectiveness of monitoring and coordinated threat response due to the lack of integration of native Microsoft security data sources.
Compliance Complexity in the Energy Sector: Meeting Australian energy sector security mandates required extensive manual reporting, making compliance tracking inefficient and resource-heavy.

Solutions

Unified Log Ingestion: Connected 40+ Ubiquiti network devices, servers, virtualization, and Microsoft cloud logs into Sentinel using native connectors and centralized Log Analytics.
Analytics Rules and Detection Engineering: Implemented 256 custom and built-in analytics rules detecting identity abuse, network and endpoint threats, and data theft.
Noise Reduction and Precision Tuning: Used KQL to fine-tune detection thresholds, reduce false positives, and improve alert accuracy for security operations teams across large environments.
Automated IR and SOAR Orchestration: Deployed Sentinel playbooks automating enrichment, notifications, created ServiceNow tickets, isolated risky devices, and locked compromised user accounts, without manual work.
Governance, Compliance, and Behaviour Analytics: Applied RBAC, retention policies, long-term archiving, and UEBA to support compliance. Security records were stored safely for required periods, and unusual user actions were monitored to catch insider risks early.

Business Value Propositions

Unified Security Visibility Across Environments: Delivered centralized SIEM dashboards enabling real-time threat visibility.
Faster Incident Response Through Automation: Reduced manual triage, cutting incident response and resolution times.
Reduced Alert Noise with Smarter Detection: Optimized analytics rules lowered false positives by 60%.
Stronger Compliance and Audit Readiness: Enabled continuous compliance with Australian energy regulations through comprehensive logging and retention policies.

Final Perspective

Our deployment of Microsoft Sentinel brought together all security operations into a single, automated model. Faster threat response, fewer false alarms, simpler compliance reporting, and better security supervision all helped the customer maintain stable and safe business operations.

Protecting Financial Infrastructure Through Zero Trust Using Microsoft Azure

Overview

A leading finance organization in Australia needed to migrate its core systems from an aging data center to Microsoft Azure. Daily financial operations were supported by a crucial 500GB SQL database that could not afford extended outages. Thus, existing configurations had issues with expansion, security, and performance.

Krish designed a modern cloud setup using Azure and implemented Zero Trust security that improved its security, ensured business continuity, and established a foundation for future workload expansion.

Client Background

A well-known Australian financial services organization that delivers financial products and services to customers across the region, relies heavily on tech to support daily operations. The organization manages large volumes of sensitive financial data and operates under strict regulatory and compliance standards.

Challenges

Legacy Infrastructure Limiting Growth: The client was running critical finance applications on an ageing on-premises datacenter. They lacked scalability, causing performance issues and slowing support.
High Security and Compliance Pressure: They struggled to meet security requirements, audit, and regulatory standards because of on-prem systems.
Lack of a Standard Cloud Foundation: There was no structured cloud landing zone to support governance, networking, and scalability for future workloads.
Lack of Centralized Application Access Security: Exposing applications to users and partners required strong protection against threats.

Solutions

CAF-Aligned Azure Landing Zone: Built a secure Azure foundation using a hub-and-spoke design for strong governance and clear network separation.
Protected External Access with WAF: Used Azure Application Gateway to protect applications, block common web threats, and protect customer-facing systems.
Reliable Migration of SQL Database: Migrated the 500GB SQL database using tested methods with reduced downtime.
Centralized Network Security and Threat Protection: Implemented multi-layer Zero Trust and Azure Firewall for attack defense.

Technology in Use

SQL Server
Azure Firewall
Defender for Cloud
Azure Monitor

Business Values

Reliable Data Migration: Successfully migrated to a 500GB SQL database with optimized performance.

Measurable Performance Gains: Improved application response times by 45%.

Stronger Security Posture: Reduced risk through a Zero Trust security model.

Future Scope

This Azure Zero Trust model protects critical financial apps while ensuring easy monitoring, smooth performance across hybrid environments, and better cloud-to-on-prem connectivity. The new setup also opens the door for the adoption of cloud-native apps, better analytics, and more secure infrastructure.

Protecting Sensitive OT and IT Assets with Forcepoint DLP

Overview

A mid-sized energy company operated in Norway, Sweden, Germany, and Denmark, with about 3,000 employees. The company saw increasing pressure to protect its key assets like sensitive OT data, intellectual property in energy production, sensitive operational data, and customer records.

Our team launched a phased security strategy with Forcepoint DLP, protecting data across endpoints, servers, email, and cloud. This provided the company with stronger oversight and control without slowing down daily operations.

Client Background

The client is a mid-sized energy company operating across Norway, Sweden, Germany, and Denmark with nearly 3,000 employees. Their teams work with sensitive OT data, intellectual property, operational records, and customer information across a complex mix of IT and OT systems, requiring careful management and strong governance across the organization.

Challenges

Risk of data leaks and misuse due to unsecured sharing of SCADA, OT configurations, and regulatory files.
Non-compliance due to increasing difficulty in meeting NIST, NERC CIP, and GDPR requirements.
Blind spots due to a lack of unified tracking for how sensitive files were stored, accessed, or transferred.
Inconsistent protection due to mixed infrastructure across on-prem servers, virtualization, Citrix VDI, Windows endpoints, and Linux-based OT systems.
Operational disruption due to the need for strong data protection without affecting energy workflows or system performance.

Solutions

To address the rising risks and compliance demands, the company adopted Forcepoint DLP as the backbone of its data protection strategy.

Phase 1: Assessment & Planning
We began with data discovery to locate sensitive files across IT and OT systems, then defined policies for PII, intellectual property, and regulatory data.
Phase 2: Implementation
Deployed Endpoint DLP agents across 2,500 systems. Role-based policies integrated with Active Directory gave precise control.
Phase 3: Optimization & Training
Refined DLP policies to reduce false positives. Incident response workflows were embedded into ServiceNow, creating better security practices.

Business Value Propositions

Blocked unauthorized transfers of SCADA files, project designs, and sensitive operational data.
Strengthened compliance with auditable reporting aligned to NERC CIP and NIST standards.
Embedded security controls without slowing down daily operational workflows.
Improved oversight with a unified dashboard across endpoints, servers, email, and cloud.
Advanced Zero Trust adoption with a solid DLP foundation across the enterprise.

Future Perspectives

Krish started with discovery scans, adjusted policies, and connected the system smoothly. The client teams could then handle risks, follow rules better, and protect data without added work. This set them up to move toward Zero Trust and face future challenges.