Each year, LinkedIn tracks the top emerging jobs and roles in the U.S. The top four roles of 2020 — AI specialist, robotics engineer, data scientist and full-stack engineer — are all closely ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

In the current digital economy, where every second of uptime can shape your business, reliability has shifted from a technical consideration to a strategic priority. At the forefront of this emerging ...

Cloud platforms, as a remotely managed service, come with a service-level agreement (SLA) that guarantees an uptime percentage or your money back. These SLAs, and the shifting of responsibility of ...

Microsoft’s Azure SRE Agent is an AI-powered assistant designed to transform how SRE (Site Reliability Engineering) works in Azure cloud systems. Since organizations’ infrastructure keeps growing, it ...

Data Reliability Engineering (DRE) is the work done to keep data pipelines delivering fresh and high-quality input data to the users and applications that depend on them. The goal of DRE is to allow ...

In an age where almost every prospective customer or client is connected and online, an organization’s website often functions as the first point of contact. This is also the age when many employees ...

In the changing field of software and technology, reliability and scalability have become essential considerations for organizations around the world. One of the people working in this space is ...

Over the past few years, Photobox has been on a journey to unify its e-commerce platform. At the start of 2022, the company merged with Albelli, and, says Alex Hibbitt, director of site reliability ...

The old "garbage in, garbage out" adage has never gone out of style. The ravenous appetite for data on the part of analytics and machine learning models has elevated the urgency to get the data right.