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Azure Cloud Services

Score8.4 out of 10

41 Reviews and Ratings

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What is Azure Cloud Services?

Azure Cloud Services is a cloud platform that enables users to create infinitely-scalable cloud applications and APIs. It enables users to build the web and cloud applications needed while also simplifying the management of applications with cloud services, and while ensuring high availability. Users can: scale an environment automatically based on demand and reduce costs, automate operating system and application updates to increase security, and take advantage of integrated health monitoring and load balancing.

Categories & Use Cases

Key Features

Learn about the best (and worst!) features Azure Cloud Services has to offer, as determined by TrustRadius' reviewers.
Based on 41 ratings of Azure Cloud Services's features
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Top Performing Features

  • Scalability

    Ease of scaling up or down to meet demand

    Category average: 8.2

  • Ease of building user interfaces

    Ability to build flexible user interfaces using drag-and-drop tools

    Category average: 7.9

  • Platform access control

    Rules controlling what data different user categories can access

    Category average: 7.8

Areas for Improvement

  • Issue recovery

    Ease of recovery from problem state

    Category average: 7.1

  • Services-enabled integration

    Ability to integrate with cloud applications and data via APIs and pre-built connectors

    Category average: 7.9

  • Development environment replication

    Ease of replicating new development environments

    Category average: 7.8

Reviews

What users are saying about Azure Cloud Services.
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Azure Cloud Services - Beginner friendly and cost effective

Incentivized
Verified User
Consultant in Engineering (5001-10,000 employees employees)

Use Cases and Deployment Scope

In my organisation, we use Azure Cloud Services as a hybrid cloud. We are migrating our services, jobs, and database to Azure Cloud Services using VMs, Azure Kubernetes Services, Azure Cosmos DB, and blob storage. We are also using Azure AI for different AI use case in our organization. We've migrated over 90+ microservices to Azure Cloud for our enterprise customer and still deploying remaining to cutover on prem cost and have high up time and allowing to usecase using Azure AI. We are utilizing this at different levels from VM to AKS, AI, Database and all aspects for our enterprise usecase and datahubs

Pros

  • We are using Azure Cosmo DB and flex DB on azure as our database operations for datahub.
  • We are utilizing Azure Kubernetes services for deploying our micro services in different environment
  • We are utilizing Azure blob storage for our fallout records to reprocess
  • We are also using Azure AI factory for our internal AI use cases.
  • We are also utilizing Azure infrastructure including VMs, cloud storage and other services for our microservices application.

Cons

  • Latency and bandwidth as we often see gap here
  • There were many challenges as a developer while migrating our DB from on prem to cloud
  • System downtime is also one issue that can be improved

Return on Investment

  • With help of Azure, our services uptime got increased be 99.8%
  • We've removed on prem dependency by 86%
  • Utilized Azure AI for building internal AI tools and managing million data in Cosmo DB

Usability

Alternatives Considered

Google Cloud Platform and Amazon Web Services

Other Software Used

Google Cloud Platform, Microsoft 365 Copilot, GitHub Copilot, Atlassian Jira, Azure AI Bot Service

Azure Cloud Services - Transforming Your Business Operations

Incentivized
Ravindra PawarView profile
Sr. Developer in Information Technology at TJC Group - Because Your Data Matters (51-200 employees employees)

Use Cases and Deployment Scope

We use Azure DevOps, Azure AD, Azure MySQL and Azure Postgres Db for our software developments. As the Azure MySQL single server is in retirement path we are working on single server to flexible server migration since last 3 months with different methods suggested by Azure team but no method is successful yet

Pros

  • Azure DevOps
  • Azure database services
  • Azure AD

Cons

  • Azure MySQL single server to flexible server migration
  • Database Migration Services
  • Azure VMs

Return on Investment

  • Scalability
  • Cost savings
  • Integration and migration challenges

Alternatives Considered

SAP Business Technology Platform

Other Software Used

SAP Business Technology Platform, SAP HANA Cloud, Microsoft Visual Studio Code

Very secure and reliable Cloud service management product.

Valarie ThomasView profile
Software Engineer in Finance and Accounting at Nordnet Bank AB (501-1000 employees employees)

Use Cases and Deployment Scope

Microsoft Cloud Platform has been a very effective tool to our entire organizations Cloud service management and the best performance monitoring capability for all our Clouds applications and even the easy compatibility testing and configuration management ability. The security management provided by this platforms is reliable with excellent access controls and permissions. The automation and orchestration provided by this platform is the best and makes it easily to integrate systems and customize its API. Highly collaborative tool and with excellent capabilities to data migration and change management.

Pros

  • Effective service management and performance monitoring capability.
  • Reliable security management with excellent access controls.
  • Best orchestration and easy configuration management.
  • Easy on compatibility testing and change management.

Cons

  • It is complex to migrate large volumes of data by new users.
  • With intuitive data recovery by new users, it will be superb.
  • Change management is not easy to new users.

Return on Investment

  • Data recovery capabilities incase of any disaster.
  • Cost management through system integration.
  • A secure Cloud platform to our data and application from threats and attacks.

Alternatives Considered

Google Cloud Datastore

Other Software Used

Microsoft Dynamics 365 (formerly Microsoft Dynamics CRM), IBM Cloud Pak for Multicloud Management

Functional Cloud Services Management and Very Secure Data Management System.

Incentivized
Jeniffer LuisView profile
Project Delivery Manager in Information Technology at Very Good Security (51-200 employees employees)

Use Cases and Deployment Scope

High functionalities and effective services management across the Cloud services and API life cycle management capability and even the easy configuration management ability provided by Microsoft Cloud Platform is productive. The access control management via the platform is nice and network traffic control functions are very responsive and easy reports creation Microsoft platform with excellent load balancing capability.

Pros

  • Effective Cloud Application management software.
  • Security and access management.
  • Perfect testing management.
  • Configuration easy management.

Cons

  • Just on Cloud deployment for those new to the platform.
  • Multiple data reports creation.
  • Migrating a large amount of data.

Return on Investment

  • Remote data accessibility via the platform is effective.
  • Data security through the system is guaranteed.
  • Easy data recovery solution.

Other Software Used

IBM Cloud Pak for Multicloud Management, Apigee Sense, Micro Focus Hybrid Cloud Management X (formerly HP Cloud Service Automation)

Overview of using Azure Cloud Services

Verified User
Engineer in Information Technology (10,001+ employees employees)

Use Cases and Deployment Scope

We are using IAAS and PAAS ,Azure Cloud Service is a cloud based platform which we can use for remote access our database by connecting the Microsoft Azure server by our employees working different places remotely, we are using it for storage of our client data storing client data previously is manual now we can use the storage as a container over internet which saves our time and cost and it's a secure platform.

Pros

  • It secures our data very well because of it's leading security and compliance for data privacy laws
  • The complexity of installing and managing servers on a network has been reduced, clearing more time for developers to build better solutions.
  • Web applications can be build easier and faster as well as secure by using IAAS and PAAS

Cons

  • Management activities related to team can be improved
  • More customized reporting ability , bad documentation and support
  • Pricing model is too complex

Return on Investment

  • Azure allows businesses to automate many tasks and processes, which leads to increased efficiency and productivity
  • Increased data security it provides including data encryption
  • It's useful for businesses with fluctuating demand or those that are looking to expand quickly as a feature of improved agility.

Alternatives Considered

Amazon Web Services

Other Software Used

Google Cloud Platform, Amazon Web Services, Oracle Cloud Infrastructure