For a successful business, you need to introduce an effective monitoring system covering all areas of your business and infrastructure - servers, databases, services, overall traffic, and even revenue collected. The users of this monitoring system can be system administrators, software engineers, information engineers, as well as all sorts of analysts.

High-quality cloud cost allocation has become an existential issue for businesses. In order to get as much out of their (mounting) cloud investments as possible, business leaders need to know how much they’re spending in the cloud, what/who they’re spending it on, and whether there’s a good reason for it. In its ideal form, cost allocation answers all these questions.

Mend is an automated vulnerability scanning tool that helps teams detect and resolve issues quickly. Mend can discover outdated packages and tell you if you’re relying on tools with known issues. Then, through automated remediation, Mend creates pull requests for developers with specific guidance on resolving those issues. Mend conducts static code analysis as well as package and dependency management analysis to identify weaknesses.

KubeCon is the major cloud-native gathering of thousands of people from around the globe. The event is attended by many emerging startups and companies working on revolutionary products around Kubernetes, security, containers, and DevOps. It is a great opportunity to share insights and collaborate on various community projects.

These three top cloud providers are used daily by millions of users across the world – but what sets them apart? We take a magnifying glass to the features that matter.

On 8 November 2022, at Open Source Experience Paris, Canonical announced that Charmed Kubeflow, Canonical’s enterprise-ready Kubeflow distribution, now integrates with MindSpore, a deep learning framework open-sourced by Huawei. Charmed Kubeflow is an end-to-end MLOps platform with optimised complex model training capabilities designed for use with Kubernetes.

Looking at the report that Gartner did in 2022 regarding top technology trends, AI engineering represents an important pillar in the near future. It is composed of three core technologies: DataOps, MLOps and DevOps.The discipline’s main purpose is to develop AI models that can quickly and continuously provide business value. For instance, models that enable cross-functional collaboration, automation, data analysis, and machine learning.

Most well established data teams have a clear remit and a well defined structured for what they work on and when: from the scope of their role (from engineer to analyst) to which part of the business they work with. At incident.io, we have a 2 person data team (soon to be 3) with both of us being Product Analysts.

Distributed denial of service (DDoS) attacks are an ongoing issue for communications service providers, putting critical systems at risk, undercutting service level agreements, and bringing unwanted headlines. In the first half of 2022 6 million of these attacks were reported. Some metrics of DDoS attacks in 1H2022 compared to 2H2021.

The Serverless framework is an open-source framework written in Node.js that simplifies the development and deployment of AWS Lambda functions. It frees you from worrying about how to package and deploy the application to the cloud, so you can focus on your application logic. Serverless applications are distributed by design, so good code coverage is vital, and should include unit testing.