PRIVATE/PUBLIC CLOUD SETUP

  • Define Objectives and Requirements
    Assess business needs and goals.
    Determine the specific use cases for the cloud.
  • Choose Cloud Model
    Decide between public, private, or hybrid cloud based on your requirements.
    Evaluate the advantages and disadvantages of each model.
  • Select Cloud Provider
    Research and choose a reliable cloud service provider (e.g., AWS, Azure, Google Cloud for public cloud; VMware, OpenStack for private cloud).
  • Plan Architecture
    Design a scalable and resilient cloud architecture.
    Consider aspects like network topology, storage solutions, and compute resources.
  • Security and Compliance
    Implement robust security measures, including encryption, firewalls, and access controls.
    Ensure compliance with relevant regulations and industry standards.
  • Network Configuration
    Set up networking components, including VPCs, subnets, VPNs, and load balancers.
    Ensure reliable and secure connectivity.
  • Provision and Deploy Resources
    Allocate virtual machines, storage, and other resources as needed.
    Deploy applications and services on the cloud infrastructure.
  • Automation and Management
    Use automation tools for deployment, scaling, and management.
    Implement monitoring and alerting systems for proactive management.
  • Data Migration
    Plan and execute the migration of data and applications to the cloud.
    Ensure data integrity and minimal downtime during the migration process.
  • Backup and Disaster Recovery
    Establish backup and disaster recovery plans to protect data and ensure business continuity.
    Regularly test and update these plans.
  • Optimize and Scale
    Continuously monitor performance and optimize resources.
    Scale infrastructure based on demand and usage patterns.
  • Monitoring & Notifications
    Setup Monitoring systems for telemetry and applications basis on KPI.
    Set threshold and Notifications over multiple mediums like SMS, email, Call, chat and initiate Incident Response.

CLOUD MIGRATIONS

Our Approach

  • Discovery, Assessment and Recommendations.
  • TCO analysis for Migration.
  • Techstack fitment to Available Cloud options.
  • Baremetal/VMWare/Nutanix Private Cloud.
  • Hyperscalers - AWS / Azure / GCP.

We Specialise In

  • Creating Hybrid Cloud.
  • Lift and Shift Migrations.
  • Modernise and Migrate.
  • Migrate and Modernise.
  • Data Pipeline Migrations.
  • Database Migrations.
  • PaaS to Self Managed Migrations.

CLOUD COST OPTIMISATION

Approach

  • Understanding Business, its expectations and CSF.
  • Analysis and Study of Architecture, Infra and Cost.
  • Establishing control, Visibility and FinOps Culture.

Re-Architecture

  • Auto Scale-out and scale-in.
  • Data Lifecycle management.
  • Event based scale-out.
  • Moving to Self Managed.

Idle Resource Handling

  • Idle resources - CPU, RAM, Disk, Instances.
  • Upgrade Instance Types for better cost & efficiency.
  • Adoption of spot instances.
  • Auto Shut Staging/Dev.

WORKLOAD MODERNISATION

Re-Host

  • Involves moving applications to the cloud with little to no changes to the existing code.
  • Applications continue to operate as they did on-premises, providing a consistent experience for users.

Re-Factor

  • Involves rewriting parts of the application to optimize performance, scalability, and maintainability.
  • Refactoring can enable better integration with modern development practices, such as continuous integration and continuous deployment (CI/CD).

Re-Architecture

  • Involves fundamentally redesigning the application's architecture to leverage cloud-native features fully.
  • By rearchitecting, applications become more modular and flexible, making it easier to integrate new technologies and features.

Re-Build

  • Allows developers to create the application entirely using cloud-native technologies and services from the ground up.
  • Enables innovation and incorporation of the latest technology trends, resulting in more efficient, secure, and user-friendly applications while addressing legacy limitations and technical debt.

DEVOPS

  • End-to-End Platform Setup
  • Landing zone setup
  • CI/CD Setup
  • Automation
  • Infra as Code and AutoScaling
  • Monitoring and Feedback
  • Incorporate Collaboration tool
  • SSO at Application
  • Console and VM level

DEVSECOPS

  • Static App Security Testing
  • Dynamic App Security Testing
  • API Security Testing
  • Run-time Application Security
  • Protection
  • Password Leaks and OSINT Scan

MONITORING & ALERTING

  • End to end Monitoring and alerting set-up.
  • Tools like Prometheus, Thanos, InfluxDB, Grafana.
  • Expertise on all Exporters of DB, App etc.
  • Migration of Monitoring system from Nagios etc to TimeSeries based systems.
  • Observability/logging on ELK, Loki, Greylog etc.
  • Deployment using IaC.
  • Templatized Monitoring.
  • Customise and Configure Alerts.
  • Integration with Slack, Hangout etc.
  • Escalation Paths.
  • Insights on events.
  • NOC to NoNOC.

DATA PIPELINE CREATION

  • Design and architecture of Datapipeline and Datawarehouse / Datalake
  • Data Collection and Ingestion using Kafka / RabbitMQ
  • Data Loading and Integration with Trino/Presto
  • Data Transformation using flink/spark
  • Data Processing and Enrich using Apache Storm/flink and store in object store/blob
  • Datawarehouse on Athena, BiqQuery, Haddoop etc
  • Data Analytics meta store for HBase, Hadoop, Hive
  • Data Visualisation with Superset, Tableau
  • Expertise in OpenSource and Cloud native-like EMR, Dataproc, HDinsight, Kinesis, Eventhub, AzureML etc
  • Scalability and Performance
  • Error Handling and Retry Mechanisms

DATABASE MANAGEMENT

  • Design, Install, Configure, High Availability, Clustering, Performance fine-tuning, Back-up and Restore, Hardening, Encryption, KPI Monitoring, Alerting and Visualisation.
  • Migrations - Strategise, Analyse, Recommendation and Architect.
  • Tools like DMS, ADF, Riot, ZDM, CDM Validator.
  • K8s based DB Deployments.
  • Experience on Migration for
    1. Redis - 25Tb from Elasticache to Selfmanaged.
    2. Dynamo to Cassandra with 15Tb size.
    3. RDS to Self Manages MySQL/Postgres with 17Tb size Many more.....