Agilisium AWS Capabilities

As an AWS Advanced Tier Services Partner we deliver tailored cloud solutions through a wide range of competencies and Service Delivery Programs (SDPs), enabling innovation, efficiency, and growth for the Life Sciences industry.

Competencies

AWS Life Sciences Services Competency
AWS Generative AI Services Competency
Data & Analytics Services Competency
Migration & Modernization Services Competency
AWS Life Sciences Services Competency
DevOps Services Competency
AWS Well-Architected Partner Program

Service delivery programs

Amazon Kinesis Delivery
Amazon DynamoDB Delivery
Amazon RDS Delivery
AWS Lambda Delivery
Amazon EMR Delivery
Amazon EC2 for Windows Server Delivery
Amazon OpenSearch Service Delivery
AWS Glue Delivery
Amazon QuickSight
The aws partner logo.A white and blue background with the words aws ecosytem partners.A golden trophy with the words most proming aws solution.

Partnership Highlights

8+ Years
Project Delivered
1st
AWS Partner to have all AWS Data Analytics Competencies & SDPs
4.8
Customer Satisfaction Score (CSAT)
450+
AWS Certified Engineers
5+
In-house built AWS Solution Accelerators
50+ PB
Managed & Migrated to AWS every year

AWS Services

Data Warehousing with Amazon Redshift

Data in every organization is growing in volume and complexity faster than ever. Amazon Redshift accelerates your time to insights with fast, easy, and secure cloud data warehousing at scale.

Big Data Processing with Amazon EMR

Get up to twice faster time-to-insights with performance-optimized and free API-compatible Spark, Hive, and Presto. Big Data Performance makes it easier with amazon EMR.

Business Intelligence with Amazon QuickSight

Build Real-time Data-to-Insights Solutions with Amazon QuickSight - an easy-to-use, cloud-powered BI service that uses a new, Super-fast, Parallel, In-memory Calculation Engine(“SPICE”) toper form advanced calculations and render data visualizations rapidly.

Embedded Analytics with Amazon QuickSight

Amazon QuickSight helps achieve decentralized embedded analytics into any application with customized, interactive visuals and dashboards. Scale to hundreds of thousands of users at a low cost and without the need to manage infrastructure.

Log Management with Amazon OpenSearch

Amazon OpenSearch is 100% open-source search and analytics suite that enables you to easily ingest, secure, search, aggregate, view, and analyze data for a number of use cases such as log analytics, application search, enterprise search, and more.

Real Time Analytics with Amazon Kinesis

Enables you to ingest, buffer, and process streaming data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications.

Database Modernization with AWS Cloud Databases

AWS database offers wide range of purpose-built cloud databases, including relational, key-value, document, in-memory, graph, time-series, and ledger databases to perform faster data analytics.

Windows on AWS

Migrate windows workloads seamlessly on AWS Cloud for higher agility, scalability, and security with Agilisium. Our industry experience makes us an ideal choice for cloud migration.

DevOps on AWS

Achieve continuous integration and faster delivery for building and deploying applications by leveraging DevOps with AWS. Results in increased efficiency and incredible customer experiences.

Serverless Computing with Amazon Lambda

Eliminate operational overheads and scale rapidly with AWS serverless services. Now you can execute code, manage data, and integrate applications seamlessly without any servers.

AWS Well Architected Review

Eliminate operational overheads and scale rapidly with AWS serverless services. Now you can execute code, manage data, and integrate applications seamlessly without any servers.

Data Processing with Amazon Glue

AWS Glue simplifies data preparation and loading for analytics with its fully managed ETL service. With just a few clicks in the AWS Management Console, you can create and run ETL jobs, streamlining your analytics workflow.

Partnership Highlights

Pilot and Foundation

Create a blueprint for successful adoption

Goal

Learn and master basics to establish a working foundation for executing a successful cloud strategy

Solution package
  1. Cloud Pilot
  2. Cloud Instrumentation Foundation Pilot
  3. Observability Design patterns
Outcome/ Benefits
  1. Cloud Pilot with measurable results
  2. Instrumentation approach and practices that can be replicated as you expand into the cloud
  3. Unified view and
    understanding of the
    overall IT environment as you instrument it

Migration Assurance

Plan before, troubleshoot during, validate after

Goal

Achieve faster migrations with reduced risk; validate before, during, and after

Solution package
  1. Pre-Migration Complexity Profilin
  2. Troubleshooting
  3. Validation
Outcome/ Benefits
  1. Complete mapping of app components and dependencies for faster successful migrations
  2. Root-cause analytics, app diagnostics, and full-stack observability to reduce risk, costs, improving MTTD and MTTR for faster migration
  3. 'Before and After' validation of both performance & customer experience Optimization Right- size your environment for performance and spend Achieve scalability, cost optimization, speed, and agility against KPIs and analytics

Optimization

Right-size your environment for performance and spend

Goal

Achieve scalability, cost optimization speed, and agility against KPIs and analytics

Solution package
  1. Cloud Spend Optimization
  2. Elasticity & Scalability Assessment
  3. Capacity & Budget Forecasting
Outcome/ Benefits
  1. Right-sized cloud environments to optimize costs
  2. Best practices in place to ensure elasticity, scalability, and governance to deal with expected and unexpected traffic spikes
  3. Full visibility into costs for current tracking and future planning

Application Modernization

Utilize modern technologies and processes

Goal

Make smart data-driven decisions to modernize and evolve applications to meet changing business needs

Solution package
  1. Data-Driven DevOps
  2. Digital Experience Optimization
  3. Refactoring Intelligence
  4. Team Performance Analytics
Outcome/ Benefits
  1. Faster deployment cycles with a single source of truth for developers and operators
  2. Ability to monitor and tune customer experience for retention and delight
  3. Best practices driven; and data driven modernization decisions and projects
  4. Team performance & standards with analytics for evaluation and improvement

Thriving Digital Business

Measure business impact (KPIs)

Goal

Empower teams for rapid innovation and agility; optimize costs; deliver excellent customer experience

Solution package
  1. Tool & Process Consolidation
  2. Observability Health Check
  3. Digital Business in Context
  4. Operating Margin Optimization
Outcome/ Benefits
  1. Team productivity improved consolidated tools for team efficiency, cost and training optimization
  2. Deep understanding of observability maturity and gap identification
  3. Analytics on digital business success and improvement opportunities
  4. Technology investments
    correlated to business success (KPIs)