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[ad_1] An open Observability-based instrumentation & AI-able streaming architecture to pilot the Digital Highway We introduced, in a previous blogpost, the high-level pattern of the digital highway suggested by Digital Architects Zurich to tackle the following challenge: “Ensuring SLOs in the age of digital transformation, Cloud & DevOps while keeping budget under control and leveraging […]

[ad_1] Are you fascinated by the recent hype around data and artificial intelligence (AI)? Apart from leveraging external tools like Chat GPT, are you wondering how to implement your own machine learning (ML) projects in your organization? And how do you take projects from the PoC and experimentation stage into production, including deploying and continuously

[ad_1] Digital Transformation advocates, initiators and suitors (DevOps and Agile to name the most prominent) are all insisting on the importance of the culture transformation to assure the success of such a demanding and transversal process. However, the way to attack this culture transformation remains a very volatile field of experimentation. In this note we try to shed some light on how Socrates

[ad_1] Artificial Intelligence (AI) is a reality that profoundly impacts nearly all facets of business operations. It can augment decision-making processes and fundamentally change organizations. Yet to fully harness its potential, businesses must navigate a complex data terrain, operationalize data and model pipelines, and develop predictive AI models. The true potential of AI can only

[ad_1] Ce Bootcamp présente aux participants les outils MLOps et les meilleures pratiques pour le déploiement, l’évaluation, la surveillance et l’exploitation des systèmes ML de production.Vous apprendrez à déployer, tester, surveiller et automatiser des applications et des algorithmes de Machine Learning. [ad_2] Source link

[ad_1] Large Language Models (LLMs) don’t need any introduction. They are transforming how we view and use search, knowledge retrieval, information extraction, and many other areas. Specific model names such as GPT, LLaMA, Gemini, PaLM, Claude, and others have quickly become household names in tech circles. LLMs already provide tremendous value for people in their

[ad_1] As part of our democratised approach for companies to adopt SRE, we have introduced in a previous blogpost our “Effective SRE” challenge triangle (see below). We then mentioned “SLO Engineering” without exploring it in further details and without describing its related key activities. In this blog post, we will provide you an overview of

[ad_1] Faster delivery of software will fail without a highly engineered Continuous Delivery Pipeline. It not only ensures various application quality attributes, but also allows testing of the release workflows and practicing the delivery of software. Effective SRE Challenges Triangle (Digital Architects Zurich, 2020) Continuous Verification, as part of Continuous Delivery, addresses the increased need

[ad_1] What if we told you that the only thing keeping your business from success is Reliability?  A simple recipe of two main ingredients can define a company’ success and growth: The balance between new features and reliability.  Trustworthiness, the ability to deliver a reliable product, predicting incidents before they happen and putting customers’ business stability at the center of the frame are the main keywords here.

[ad_1] The first concept of Observability appeared in 1960 by the engineer Rudolf E. Kalman, but it wasn’t until 2010 that we discovered the importance of observability in the IT field and its role into the business growth. In a nutshell, Observability is the capability to ask arbitrary questions about your system without knowing them