Gartner's SaaS Predictions for 2013
The Cloud Zone is brought to you in partnership with Mendix. Better understand the aPaaS landscape and how the right platform can accelerate your software delivery cadence and capacity with the Gartner 2015 Magic Quadrant for Enterprise Application Platform as a Service.
Robert Desisto recently posted Gartner’s 2013 Software as a Service predictions, and an IT professional asked me for my opinion. Here are my thoughts on how the SaaS predictions impact enterprise IT strategies and tactics:
Key findings from the Gartner predictions include:
- [SaaS] Service-level agreements (SLAs) will continue to lag behind customer needs.
My Take: Most likely true for enterprise organizations that require significant availability, reliability, and performance. Inserting a gateway/proxy in between the enterprise users and the SaaS application can help organizations monitor SaaS compliance with SLAs.
- Platform as a service (PaaS) will become a must-have for enterprise-class software as a service (SaaS) applications.
My Take: I would moderate this statement and propose “Teams developing SaaS applications will gain greater productivity by building on top of PaaS platforms that internally manage multi-tenancy, tenant-aware and service-aware load balancing, resource pooling, and elastic scalability. SaaS applications built as cloud-aware applications on multi-tenant, shared container PaaS will maximize scalability while reducing cost per tenant. what is your evaluation criteria for selecting an appropriate PaaS platform?
- The role of Internal Cloud Service Brokers will become more important for Enterprise SaaS intiatives.
My Take: Internal Cloud Service brokers can overlay identity provisioning, security and service level management on external Enterprise SaaS offerings. An internal cloud service broker can be implemented in-house by deploying an API manager product that will monitor usage, enforce access policies, enforce subscription policies, and provide a single user provisioning console.
What are your SaaS predictions that impact application service adoption?