DevOps implementation
Analyze, design, construct, automate and implement end to end according to the need
Set up the processes for collaborative development, testing, deployment, and monitoring
Set up and integrate the DevOps toolchain for agile transformation
Deliver architecture plan, Infrastructure provision, Deployment Strategy, Monitoring and Alerting Plan
DevOps assessment
A comprehensive analysis of current development and operations practices
Gain actionable insights to optimize processes and achieve seamless, high-quality application deployment
Identifying opportunities for automation, collaboration enhancement, and efficiency improvements to accelerate the software delivery lifecycle
Deliver current state assessment report, infrastructure improvements, toolchain and process assessment, roadmap and action plan
DevOps orchestration
Streamline development and operations processes
Provide robust and scalable infrastructure that ensures reliability, security, and high performance for applications and services
Enable seamless coordination, automation, and optimization of the software delivery pipeline
Deliver cloud infrastructures, hosting microservice, scalable and highly available architecture, monitoring and performance optimization, and disaster recovery readiness
Azure Cloud consultancy
Business advisory
Technical assistance
Consulting services
Deliver implementation plan, recommendations around areas of automation, tech Stack and roadmap
Azure Cloud migration assessment
Azure Migration assessment and planning
Analysis of database & application migrations to Azure PaaS services
Deliver migration plan and an Azure migration strategy
Risk assessment for application movement
Approach outline and migration roadmap
Azure Cloud optimization
Perform cloud readiness assessment
Cost consumption and Azure service assessment
Reporting & performance analysis
Deliver better alternatives of the services in use
Get estimation with regard to cloud storage and usage
Optimization of the existing cloud environment
Monitoring, system health checks, updates and tune-ups
Scope of re architecting for the existing solution
Azure OpenAI – Large Language Model Implementation
Seamless analysis of unstructured data sources to generate summaries
LLM deployment as web services or containerized applications
Organization specific compliance implementation
Extract, organize, and leverage vast amount of information effortlessly
Model monitoring and management
Deliver implementation plan, real-time restful API to share output of the queries for a LLM engine
