How has the recent turmoil within the OpenAI offices changed your plans to use GPT in a business process or product in 2024?
Increased uncertainty means we are more likely to evaluate alternative AI chatbots and LLMs.
No change in plans, though we will keep an eye on the situation.
With Sam Altman back in charge, we are more likely to go all-in with GPT and LLMs.
What recent turmoil?
CI/CD / Cloud Native Ecosystem / Cloud Services / Open Source / Software Development

Platforms, Containers and the Semantics of PaaS

Apr 20th, 2017 10:53am by and
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PaaS, CaaS, container management, cloud platform, what do you call that technology you’re using? In this episode of The New Stack Analysts podcast, Larry Carvalho, research manager and lead analyst for Platform as a Service at IDC, explains why the term PaaS is actually passè.

Instead of talking about platforms as a service, Larry uses the term “cloud application platform.” This cloud platform provides compute abilities, developer services, as well as back-end services. At its core, it has to provide a compute engine that traditionally was provided as a VM, but compute is increasingly done with containers and even as functions. In other words, no matter how an application is packaged, it can still be run on top of a platform.

#134: Platforms, Containers and the Semantics of PaaS

The common theme with all cloud platforms is that users are looking for automation. Larry described three types of platforms:

  1. Low-code or no code (e.g., OutSystems,, Mendix.)
  2. Deployment-centric. These can take a bundled, or opinionated approach like (e.g., CloudFoundry or OpenShift,) or allow a more free-range approach that provides more control over the infrastructure (e.g., AWS ECS, self-deployed Kubernetes.) Larry says that start-ups and innovation labs within large companies are inclined to take the free-range approach, while larger enterprises veer towards opinionated platforms.
  3. Event-driven functions as a service (serverless) — this topic was not discussed in detail except to acknowledge that it doesn’t fit easily into the model.

When we talked about containers as a service (CaaS) with Chip Childers, he distinguished CaaS from PaaS by saying that CaaS tended to be unstructured, and mostly just provide the infrastructure needed to run containers. Childers believes that PaaS actually help with the building and deploying of containers. While this distinction is valuable, Larry provided a much simpler explanation by saying, “CaaS is just another way to package your apps, that is faster.”

The second half of the conversation (link to 26:00 minute mark) covered the perspective that CIOs have regarding lift-shift, cloud migration and the process of reviewing application portfolios. Larry says there are two types of CIOs: 1) those that depend on consultants and 2) those that are bringing the consulting approach in-house. That second type of CIO is becoming more prevalent. Sometimes they will rely on in-house innovation labs to develop a broad range of skills.

Abstraction of the infrastructure is driving the need for full-stack knowledge. CIOs are looking for people with knowledge of many different technologies to evaluate technology decisions and help bring in new platform capabilities. When evaluating platforms, they are looking to absorb developer services like CI/CD and testing, as well as the ability to bring in new capabilities such as machine learning and IoT-related services. In order to help CIOs, vendors are increasingly bringing in a solution architect during the pre-sales process. These vendor-side engineers work with an enterprise to address issues surrounding strategy, governance and architecture.

Alex ended the show saying PaaS used to be just a dream but is now having a second chance with containers.

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