British Airways, now there is a big GDPR issue. 500,000 people were affected over 15 days. Reputation damaged, untold revenue lost and a $230 million dollar fine and that is before any damages are paid. In my former life, I thought GDPR was a boring tick box exercise, it really could not be further from the truth. It is a scare your pants off ride, one that needs to be taken very, very seriously. Your company’s existence is at stake.
A service desk is the nerve center for all activities related to IT service delivery. It’s at the forefront of all interactions an organization has with its requesters. Implementing a service desk involves processes, workflows, and domain knowledge. That’s why most people stick to a framework when setting up a service desk. Learn more about the most popular ITSM framework. A service desk comes with numerous challenges that can be overcome if you are aware of the best practices.
At FOSDEM 2020, Grafana Labs software engineers Tom Braack and Malcolm Holmes explained how and why the team developed Tanka, a scalable Jsonnet-based tool for deploying and managing Kubernetes infrastructure. They also shared how Grafana Labs leverages the project to manage and monitor its own infrastructure as well as showcased how Tanka makes deploying a Grafana instance faster and more efficient.
Norwegian leader in fleet management, equipment and vehicle tracking, ABAX is one of Europe’s fastest-growing technology businesses. The company provides sophisticated fleet tracking, electronic mileage logs and equipment and vehicle control systems to more than 26,500 customers. ABAX manages over 250,000 active subscriptions that connect a variety of vehicles and industrial equipment subscriptions.
Data pipelines provide the ability to operate on streams of real-time data and process large data volumes. Monitoring data pipelines can present a challenge because many of the important metrics are unique. For example, with data pipelines, you need to understand the throughput of the pipeline, how long it takes data to flow through it and whether your data pipeline is resource-constrained.
