Le data lineage et l’usage des données pour transformer un système : simplifications / migrations

Les coûts du Cloud : préoccupation #1 des CIO   La réduction de la taille des systèmes - la bonne option Un rapport récent de Flexera (fin 2022) indique, et pour la 7ème  année consécutive, que l'optimisation de l'utilisation du Cloud demeure le principal sujet de préoccupation des CIO. Et pourtant, relativement peu d’entreprises avancent sur de véritables projets d’optimisation continu. Ce qui pourtant paraît assez évident. 1.     La croissance des coûts dans le Cloud, un constat partagé : Une enquête du Gartner de 2022, indique que les entreprises prévoient une augmentation de 29 % des dépenses liées au Cloud en 2023 versus année en cours.       Cette même étude indique que les coûts de 2023 seront supérieurs de 12 % aux coûts prévus. Objectivement, personne ne pourra contester que les coûts de Cloud ressemblent à une fuite en avant. Les projets sont toujours plus nombreux, et ils sur-consomment la donnée. Netflix dé...

  Cloud  costs : #1 concern for CIOs   Downsizing systems – the right option A recent report from Flexera (end of 2022) indicates, and for the 7th   consecutive year, that  optimizing the use of the Cloud remains the main subject of concern for CIOs.  And yet, relatively few companies are moving forward with real continuous optimization projects.  Which, however, seems quite obvious. 1.       The growth of costs in the Cloud, a shared observation: A 2022 Gartner survey indicates that companies expect a 29% increase in Cloud spending in 2023 compared to the current year.       This same study indicates that 2023 costs will be 12% higher than planned costs. Objectively, no one can dispute that Cloud costs look like a headlong rush.  There are always more projects, and they over-consume data. For example, Netflix spends nearly $10 million per month to store/process its data on AWS.    Some of our...

     Dynamic mapping of an Information System        Map an Information System     At a time of accelerating digital transformation, massive movements towards the Cloud, the surge of "as a Service", it seems useful to be able to understand, in general or in detail, the way in which Systems information work. IT architectures are often complex, often still partially or largely "on premise". And even though they are essentially in the Cloud, they tend to continually become more complex (and cost more and more expensive ☹). We propose to dynamically deliver the cartography of an information system, from a "high level" view to a granular view, or vice versa, to allow everyone to access their needs. Our analyzes also make it possible to simplify Information Systems and migrate them to the Cloud in a largely automated way.  A technical bias:   Automated and exhaustive reverse engineering  of the Information System    ...