Microsoft Azure solutions

Microsoft Azure solutions

Microsoft Azure solutions
Azure, cloud services redesigned by Microsoft

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.

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.

Benefits of Microsoft Azure
  • Budget control through the adjustment of resource allocation based on needs
  • Access to many data centers throughout all continents.
  • The 99.99% SLA guarantee allows for very high service availability
  • 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)
Our services around Microsoft Azure

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:

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

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

Business Intelligence:

  • Data Warehousing: secure storage of ready to use big data
  • Data Lake (ETL processing)
  • AI geospatial analysis

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)
Google Cloud Platform / Azure / AWS Services Comparison
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
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