Articles

FinOps: Reduce Cloud Costs by Removing "Dead Branches"!

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    FinOps : Reduce Cloud Costs by Removing "Dead Branches"!   Data lineage and analysis of the uses of information to calculate the cost of "living branches" and "dead branches". For simple and cheaper cloud systems.      Intro  Cloud costs, a real subject!   ____________________________________     OWe are not going to dwell on the adoption of the Cloud, but we will note that 50% of companies have 100% of their infrastructure in the Cloud (Rackspace Technology 2022, in association with Google Cloud), and the others are thinking about it seriously: end of infrastructure to manage, infinite scalability, often lower costs, etc. The strengths of the Cloud are also its limits: the systems are ultra-scalable, and the teams have a field day for the greatest benefit of the business. It is also unfortunately the realm of informational inflation that is not always justified, with strong impacts: 7 out of 10 companies do not know exactly what the...

FinOps : réduire les coûts du Cloud en supprimant les "branches mortes" !

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    FinOps : Réduire les coûts du Cloud en supprimant les "branches mortes" !   Le data lineage et l'analyse des usages de l'information pour calculer le coût des "branches vivantes" et des "branches mortes".  Pour des systèmes Cloud simples et moins chers.      Intro  Le coûts du Cloud, un vrai sujet !  _________________________________     On ne va pas épiloguer sur l’adoption Cloud, mais on notera que 50 % des entreprises ont 100 % de leur infra dans le Cloud (Rackspace Technology 2022, en association avec Google Cloud), et les autres y songent sérieusement : plus d’infra à gérer, une scalabilité infinie, des coûts souvent moindres, etc. Les forces du Cloud sont aussi ses limites : les systèmes sont ultra-scalables, et les équipes s’en donnent à cœur joie pour le plus grand bénéfice du business.  C'est aussi malheureusement le royaume de l’inflation informationnelle pas toujours justifiée, avec de forts impacts : 7 entr...

Cybersecurity: data lineage at the service of data loss prevention (DLP) ?

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  Technical data lineage coupled with the detection of information uses makes it possible to know from any data, who finally accesses it, and in what context. What if it's a big problem with real security information, a simple and effective answer for the prevention of data leaks/losses? What is DLP (Data Leaks / Loss Prevention)?   _______________________________________ “The term Data Loss/Leaks Prevention (DLP) refers to a set of techniques that identify, control and protect information through in-depth content analysis, whether the information is stored, in motion, or processed. The objective is to limit the leakage of sensitive data. A DLP solution is able to identify sensitive data, locate where it is stored, control who should have access to this data and finally protect it, i.e. prevent any unauthorized person from having access…” Wikipedia It is a major component of the world of Cybersecurity .   The major components of a DLP solution ____________________________...