Ever been jolted awake by a midnight alarm because some server decided to take a sudden break? If you’ve been in IT operations, you know this isn’t just about fixing a problem; it’s about understanding and fixing it. Think of a favorite detective show, the detective is not just identifying the culprit, they are aiming to unravel the mystery “who done it?” and understand the motive.

In today’s world, with Large tech giants and businesses looking forward to moving toward serverless architecture, there has been a significant demand for scaling the applications. It’s therefore no surprise that millions of companies worldwide have adopted, or are planning on migrating to a Kubernetes and AWS Lambda solution to take their serverless applications to the next level.

Victor Sonck is a Developer Advocate for ClearML, an open source platform for Machine Learning Operations (MLOps). MLOps platforms facilitate the deployment and management of machine learning models in production. As most machine learning engineers can attest, ML model serving in production is hard. But one way to make it easier is to connect your model serving engine with the rest of your MLOps stack, and then use Grafana to monitor model predictions and speed.

Altice Portugal is a wholly owned subsidiary of Altice Group, a multinational cable and telecommunications company. They have a presence across Europe, including in Belgium, France, Luxembourg, Portugal, and Switzerland, as well as in the Dominican Republic, the French West Indies, and Israel. With annual revenues of more than $2.8 billion (2,629 million Euros), Altice Portugal is Portugal’s largest telecom company. Altice offers fixed, mobile, and satellite network services to consumers.

Top tips is a weekly column where we highlight what’s trending in the tech world today and list out ways to explore these trends. This week we take a look at how manufacturing firms can use digital twins to completely overhaul the production process. A depiction of the digital twin-enabled industry of the future.

Understanding what's happening within your systems is a necessity. Have you ever wondered how experts keep an eye on systems to make sure everything's running smoothly? That's where observability tools come in! Observability tools are like helpers that give you a peek inside your tech. In this blog, we will talk about observability tools and how they can be used in different situations so it's easier for you to choose the right one for your organization.

In part I of this blog series, we understood that monitoring a Kubernetes cluster is a challenge that we can overcome if we use the right tools. We also understood that the default Kubernetes dashboard allows us to monitor the different resources running inside our cluster, but it is very basic. We suggested some tools and platforms like cAdvisor, Kube-state-metrics, Prometheus, Grafana, Kubewatch, Jaeger, and MetricFire.