AMS Services

New age AMS

With digitization and real-time transactions accelerating, banks need high availability, reliability, observability, and performance in their application landscape to meet evolving business needs and customer demands. However, traditional application management strategies struggle to keep up with today’s complex IT landscapes. Emerging technologies like AI, Machine Learning (ML), Deep Learning (DL), automation, and AIOps are reshaping AMS by enabling proactive monitoring, self-healing capabilities, and intelligent insights, ensuring seamless operations with minimal disruptions. To stay competitive, businesses must adopt modern strategies that align closely with their goals.

Observability Across Customer Journeys

Traditional AMS focused on isolated application metrics like network, application, database and hardware usage but lacked visibility into customer journeys. AI-powered observability now tracks interconnected customer journeys, predicting how application failures impact dependent transactions. This proactive approach ensures system reliability and enhances user experiences by predicting (uncovering dependencies) and protecting (preventing disruptions).

From Monolithic to Platform Architecture Transformation

AI empowers AMS to shift from monolithic architectures to platform-based designs or microservices-based architectures, enabling modularity, scalability, and technology diversity. This transformation fosters agility in managing complex systems while reducing operational overhead. Platform architectures also support independent updates and seamless integration across services. AI also automates migration assessments and service optimization.

Our Services

Our New Age Application Management Services leverage AI to transform IT operations with advanced observability, cloud, and ML capabilities. We enable end-to-end visibility into customer journeys, predicting and mitigating disruptions across interconnected systems. Our expertise spans transitioning from monolithic to platform architectures, optimizing cloud operations with cost analysis and unified dashboards, and enhancing ML operations through automated model deployment and anomaly detection. Our services foster agility, reliability, and innovation, aligning IT performance with business goals in dynamic and complex IT landscapes.

Enterprise Observability

Observability Implementation: Achieve end-to-end observability through the implementation of observability roadmap and real-time dashboards.
Visualization and Insights: Create real-time dashboards for observability, reliability, availability and performance of the systems and infrastructure
Site Reliability Framework (SRE) model Setup: Accelerate innovation without compromising the stability of the portfolio by building an efficient SRE organization.

Managed Services

Managed Observability Services: Benefit from 24/7 observability services with continuous tuning and optimization of observability tool stack delivered in managed services model.
Traditional AMS: Continuously improve the IT efficiency through the adoption of industrialized process, tools and methodologies.
Business first AMS: Transform IT support organization to be fully aligned with business goals with clear traceability between business metrics and IT metrics.

Advisory and Assessment Services

Service Delivery Maturity Assessment: Kickstart the next transformation with a 360˚assessment of IT service delivery maturity.
Enterprise Observability Maturity Assessment: Identify gaps, strengths, and opportunities for improvement in observability practices leading to more reliable, efficient, and scalable IT operations.
Enterprise Tool Stack Optimization Roadmap: Eliminate waste in the tool infrastructure and adopt modern tool stack for amplifying the IT efficiencies.

Operations Services

Total Cloud Ops: Ensuring reliability and efficiency of the cloud environments by managing and optimizing all aspects of cloud infrastructure including the cost of maintenance
Security Operations: Increase the reliability of the landscape through a robust security operation for both on-prem and cloud environments
On-prem Environment Ops: Preserve stability, security and reliability of the production environment and non-prod environments hosted on-prem
ML Ops: Accelerate operational efficiency through effective utilization and maintenance of Machine Learning models

Our Accelerators

Assess – Advocate – Assist Model for end-to-end observability services from identification of improvement areas, creating cultural change advocacy to assisting in creating the cultural change

Maturity dashboard around all functions of analysis covering the support process, tools implementation, offshore adoption, automation, governance and people view.

Prebuilt, AI powered, highly intuitive customer friendly dashboards for real time visualization which can be easily integrated with various industry standard tools.

Ready-made Accelerators to independently validate the cloud spend and identification of areas of optimization