[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
MLOps Foundation Bootcamp Read More »
[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
Reliably Running Your Own LLM in Production Read More »
[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
EFFECTIVE SRE: SLO engineering and Error Budget Read More »
[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.
Reliability: The backbone of successful businesses Read More »
[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
Effective SRE Key Capabilities: Observability, OpenTelemetry and MELT Read More »
[ad_1] In previous blog posts, we have introduced some of the key capabilities to establish the Digital Highway for Continuous Software Delivery: To recap, the goal of the Digital Highway is to: “Ensure Service Level Objectives (SLOs) in the age of digital transformation, cloud & DevOps while keeping budget under control and leveraging value-add cloud-native,
Our Blueprint for a Digital Highway for Continous Software Delivery Read More »
[ad_1] In a previous blog post, we introduced the key building blocks of Effective SRE (Site Reliability Engineering), which are Observability (often shortened with the numeronym “o11y”), usage of OpenTelemetry and the concept of MELT (Metrics, Events, Logs and Traces). In today’s blog post, we will deep dive into the necessary Key Capabilities for any
Key Capabilities of a Modern Observability Tool Read More »
