Azure Cloud Services - Beginner friendly and cost effective
Rating: 8 out of 10
IncentivizedUse 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
Likelihood to Recommend
I think if you have simple application where u want to utilise Azure Cloud Services and it's internal team and less interaction and not serious much about bandwidth and latency and budget is tight then Azure Cloud Services are good. But bandwidth, latency, security and privacy or container based applications are there with higher needs then go for other cloud based services. As we believe in multi cloud adoption with Azure, GCP, AWS. so based on your usecase go for it.
