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Microsoft Azure Integration
01
Launched in 2010, Azure is a Cloud Computing platform offered by the giant Microsoft. It has more than 200 comprehensive services and rock-solid reliability for enterprise and hybrid infrastructures.
Indeed, the platform relies heavily on the security of Customer data and therefore has more than 90 compliance certifications, the largest portfolio in the market.
Microsoft manages physical data storage for Azure customers through more than 200 data centers in 60 regions around the world.
And from a price point of view, it is possible to save money by using its existing Windows Server and SQL Server licenses.
Here are some services offered by Microsoft Azure, as well as their features:
Azure Blob Storage
- Stores all types of data: text, images, videos, audio, and more
Azure SQL Database
- Creates and controls relational databases without infrastructure management constraints
Azure Active Directory (Azure AD)
- Manages users and user groups, administers and secures access to resources
Azure Virtual Machines
- Deploys and manages virtual machines in the cloud
Azure Network Security
- Controls inbound and outbound access to an Azure virtual network
Azure Content Delivery Network
- Delivers static and dynamic content at high speeds
Azure Key Vault
- Stores, manages, and protects encryption keys, passwords, certificates, and other security data
Azure API Management
- Creates and manipulates APIs securely
Migration to Azure will thus allow CIOs to accelerate their digital transformation by adopting a cloud-oriented architectural model. From DevOps to Analytics / AI via IoT, Microsoft has designed a high-performance, scalable and profitable solution.
02
Migrating to Azure is a strategic step for multiple organizations looking to modernize their IT infrastructure : agility, security, and high availability.
You can migrate various types of resources to Microsoft Azure, including :
Virtual Machines / Servers
- Deploy your machines and servers on the Azure Cloud
Containers
- Deployment of containers using Azure Kubernetes Services
Databases
- Migrate your databases to Azure SQL (Cloud SQL Databases), Azure Cosmos DB, Azure Database for PostgreSQL, Azure Database for MySQL
Security
- Extend threat protection to all infrastructures. Various solutions exist, such as : Application Gateway, Microsoft Entra ID (authorization and authentication management), Azure DDoS Protection, Azure Information Protection, etc.
Storage
- Using Azure Storage services (Azure Blob Storage, Azure Data Lake Storage, Azure Disk Storage, Azure Files, and Azure NetApp Files) for the secure hosting of your data
Internet of Things (IoT)
- Leverage and visualize IoT data and manage and maintain it using Azure IoT with Azure IoT Operations, Azure IoT Hub, Azure Digital Twins, Azure IoT Edge, Azure Sphere, Windows for IoT, Azure RTOS
Web Apps
- Deploy and manage your web apps through Azure App Service
Artificial Intelligence (AI)
- Integration of multiple AI capabilities with your applications through Azure AI such as Azure OpenAI Service, Azure AI Studio, Azure AI Content Security or Machine Learning Operations (MLOps)
03
- Budget control through the adjustment of resource allocation based on needs
- Access to many data centers throughout all continents
- The SLA availability garantee of 99.9% ensures high reliability of the service
- A flexible backup strategy that offers a variety of choices to achieve the on-demand or automatic backup strategy :
- Regional
- Multi-regional
- Snapshot
- A variety of services available on demand for the most specific needs :
- Artificial Intelligence
- IoT
- CI/CD, …
- Cybersecurity: high level of physical security (e.g. unauthorized access, management of natural disasters, ...) and logical (e.g. availability of Microsoft Defender antivirus, firewall assisted by artificial intelligence against DDoS attacks)
04
Logigroup provides consulting, implementation, and integration services to help you successfully complete your digital transformation to the Cloud in general, and via Microsoft Azur in particular:
Business Intelligence
- Data Warehousing: secure storage of ready to use big data
- Data Lake (ETL processing)
- AI geospatial analysis
Application
- Development of Cloud-native or Serverless applications
- Development of API Gateway with Azure API Management
- CI / CD : facilitation of continuous integration and delivery work
- Simplified deployment automation and scalable Kubernetes implementation
Infrastructure
- Design of the Cloud architecture: private cloud, public cloud, hybrid cloud, multi-cloud, …
- Development and maintenance of specialized infrastructures, including VPN, VLAN and VPC
- Network Security
- Requirement engineering and scope development
- Feasibility study and technical audit
- Configuration and deployment of solutions
- Maintenance and upgrade of the IT infrastructure
- Management of changes in the needs
Others
- Machine Learning (Deep Learning and Machine Learning training at a lower cost on specialized infrastructures)
- Compute Engine (virtual machine, storage, VM Manager and Bare Metal solution)
- Monitoring (SLO supervision, metrics and alert systems, dashboards, …)
- IoT (set of services that connect, monitor, and govern billions of IoT resources)
05
| Azure | AWS | Google Cloud Platform (GCP) | |
|---|---|---|---|
| Backup | Azure has the best performing Backup service (Azure archive backup and system recovery services) | AWS has a complete Backup system with AWS backup and Amazon Simple Storage Service for object Storage | GCP has a basic Backup system. They offer several storage classes (standard, nearline, coldline and archive) |
| Analytics | Azure has some of the most powerful tools (Azure Stream Analytics, SQL support, machine learning, …) | AWS also has a complete platform (AWS Analytics, SQL Support, APIs, …) | GCP has Smart Analytics Platform and Data Analytics |
| Integration | Azure is the best placed (supports hybrid architecture and interoperability) | AWS comes in 2nd position (supports interoperability in particular via the Public Cloud) | GCP is the worst placed with limited ETL tools |
Azure Backup :
- Azure has the best performing Backup service (Azure archive backup and system recovery services)
Analytics :
- Azure has some of the most powerful tools (Azure Stream Analytics, SQL support, machine learning, …)
Integration :
- Azure is the best placed (supports hybrid architecture and interoperability)
AWS Backup :
- AWS has a complete Backup system with AWS backup and Amazon Simple Storage Service for object Storage
Analytics :
- AWS also has a complete platform (AWS Analytics, SQL Support, APIs, …)
Integration :
- AWS comes in 2nd position (supports interoperability in particular via the Public Cloud)
Google Cloud Platform (GCP) Backup :
- GCP has a basic Backup system. They offer several storage classes (standard, nearline, coldline and archive)
Analytics :
- GCP has Smart Analytics Platform and Data Analytics
Integration :
- GCP is the worst placed with limited ETL tools
