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
