Leading the Transformation

After medical science, if any professional stream has the most number of acronyms, Cybersecurity would be it. Every acronym represents a concept, framework, or tool with substantial overlapping features with others. It is not always easy to find how these different solutions interact with each other. While I may not know about all, let's contextualize a few of the most prominent ones which often find a place on CISO’s agenda. If we could visualize all of them in a single frame, the picture may look something like this.  Now, let's look at the different parts of this picture in brief. Security of End Point Endpoints are essentially devices used to access applications and services. It may include laptops, desktops computers, smartphones, tablets, IoT devices, and edge servers among many others. Endpoint security focuses on securing these devices, along with cloud or on-prem resources, when they are connecting to the network and accessing or storing the data. Endpoint pr...

All businesses formulate their strategies around their strengths and use partnerships and collaborations to bridge the gaps. The three cloud hyperscalars we are talking about – AWS, Azure, and GCP – also follow a similar approach.  Before we go into details about these three players, let me list the main segments of the cloud market. The cloud market is divided into 3 sets of solutions: 1. IaaS (Storage, Compute, Network) Public IaaS – This is the segment with ~$100B market and AWS commands around 55% of the market, followed by Microsoft (30%), Google (10%) Private IaaS (On-premise) – This is a sub-segment within IaaS driven by clients' demand for hybrid cloud solutions. Overall market size is ~$25B led by Microsoft Azure Stack (33%), Google Cloud Anthos (25%), AWS Outposts (15%) Overall IaaS market is led by AWS with more than half of the market share. * Please note, that all numbers mentioned here are approximates and based on the reports ...

  While most of the technologies on the hype curve are known and will mature in the time period Gartner mentions. I am interested in seeing how a few specific ones will take shape – Internal Talent Marketplace, Digital Human, and Minimum Viable Architecture. When these ones mature, we will witness faster and more decentralized business transformation through digital. Nevertheless,  what I find interesting is, that while NFT, Decentralized Identity, Digital Twin, and Web3 may find their places in 2-10 years, Metaverse and Digital Human are still more than a decade away, and rightly so, because NFT, DI, Digital Twin, and Web3 will be the pillars of the Metaverse ecosystem. Similarly, while Cloud Hyperscalars like Azure have been trying to lead with Industry Cloud Platforms solutions, Creating cloud data ecosystems for various industries will play a critical role in building those industry solutions. However, as I interact with hyperscalars and a few clients, I reckon that both c...

  Please refer the original post at https://atos.net/en/blog/merging-cloud-frameworks-for-a-sustainable-digital-transformation

In Part-1 we talked about the geographical coverage of the three largest hyperscalars (excl. Alibaba). Here, in Part-2, let’s see how you can organize your cloud resource for better management and administration. In general, all three hyperscalars provide a hierarchical way to structure your cloud workloads. This structure covers 3 aspects: Centralized policy enforcement at an appropriate level Billing administration aligned with the organizational structure and strategy Reporting and monitoring of cloud resources driving accountability Reflecting their organizational philosophy, google cloud’s structure is very simple and intuitive without losing the flexibility you may need to structure your cloud workloads.  Azure’s way of organizing cloud resources may seem a little confusing to starters, however, its concept of “Resource Group” is extremely useful as it enables one-click administration of many of your cloud resources. Even though you may be able to achieve the same ...