IT Services
CLOUD COMPUTING
- Cloud Infrastructure Management: Provisioning, scaling, and monitoring cloud resources (e.g., AWS, Azure, GCP).
- Cloud Migration: Moving applications, data, and infrastructure from on-premises to the cloud.
- Cloud-Native Applications: Building and deploying applications using microservices, containers, and serverless computing.
- Cost Optimization: Identifying cost-saving opportunities, such as reserved instances and auto-scaling.
Technical Stack
Platforms: AWS, Microsoft Azure, Google Cloud Platform
Tools: Kubernetes, Docker, Terraform, Ansible
Databases: Amazon RDS, MongoDB Atlas, Firebase
AI SERVICES
- Threat Detection and Prevention: Identifying vulnerabilities, penetration testing, and securing systems.
- Endpoint and Network Security: Firewall setup, DDoS protection, and intrusion detection systems (IDS/IPS).
Technical Stack
Security Tools: Wireshark, Nessus, Metasploit, Splunk
Endpoint Security: CrowdStrike, McAfee, Symantec
Network Security: Cisco ASA, Palo Alto Networks, Fortinet
Identity and Access Management (IAM): Okta, Azure AD, AWS IAM
SOFTWARE DEVELOPMENT
- Custom Software Development: Tailored solutions for enterprise, mobile, and web applications.
- Agile Development: Iterative development for rapid delivery and flexibility.
- API Integration: Enabling seamless communication between applications.
- Legacy Application Modernization: Refactoring and updating outdated systems.
Technical Stack
Programming Languages: Python, Java, C#, JavaScript, PHP
Frameworks: Django, Spring, React, Angular, .NET
Tools: Git, Jira, Postman
Databases: MySQL, PostgreSQL, MongoDB
IT CONSULTING
- IT Strategy Development: Assessing current systems and aligning technology with business goals.
- System Integration: Ensuring interoperability between different IT systems.
- Technology Roadmaps: Planning upgrades, migrations, and cloud adoption.
- Process Automation: Streamlining workflows using IT tools.
Technical Stack
Platforms: ServiceNow, SharePoint
Automation: RPA (UiPath, Automation Anywhere)
Cloud Consulting: AWS Well-Architected Framework, Azure Migration Tools
DATA ANALYSIS
- Business Intelligence: Dashboards and analytics for data-driven decisions.
- Data Engineering: ETL pipelines for collecting, processing, and storing data.
- Predictive Analytics: Using machine learning models to forecast trends.
- Big Data Solutions: Handling and analyzing massive datasets.
Technical Stack
BI Tools: Tableau, Power BI, Looker
Data Processing: Apache Spark, Hadoop, Kafka
Databases: Snowflake, Redshift, BigQuery
Programming: Python, R, SQL
DEV OPS
- CI/CD Implementation: Automating build, test, and deployment processes.
- Infrastructure as Code (IaC): Managing infrastructure using code.
- Monitoring and Logging: Tracking application performance and troubleshooting.
- Cloud DevOps: Setting up container orchestration and serverless workflows.
Technical Stack
CI/CD Tools: Jenkins, GitLab CI/CD, CircleCI
Orchestration: Kubernetes, Docker Swarm
IaC Tools: Terraform, CloudFormation
Monitoring: Prometheus, Grafana, ELK Stack