Operations | Monitoring | ITSM | DevOps | Cloud

December 2022

Manage Debian, Ubuntu, and derivative Linux distributions with Landscape Scripts

What are you tinkering with over your vacation? Perhaps you have ambitions to have a beautiful homelab, launch pet projects on a public cloud, or build do it yourself home automation. Ubuntu has broad community and commercial support, making it the logical choice when you need to provision machines and containers with a mix of proprietary and open source software. Once your homelab, home automation, or public cloud projects are running, you can deploy Landscape beta.

Chiselled Ubuntu: the perfect present for your containerised and cloud applications

As we enter the holiday season, online shopping and payment systems are gearing up for higher traffic and workloads. Ensuring that these applications can handle the increased demand without slowing down or crashing is critical for providing a smooth and efficient experience for customers. One way to improve the performance and reliability of these applications is by using chiselled Ubuntu images in your containerised deployment.

Repatriation to reduce public cloud spend - easier said than done?

Repatriation in cloud computing refers to moving workloads from the public cloud to on-premise infrastructure. Sarah Wang and Martin Casado from Andreessen Horowitz have written one of the most popular articles about repatriation: they explain the motivation with the significant cost savings possible. For software-based businesses, public cloud spend can rise to 50% of the cost of revenue (COR). Reducing these costs has the potential for significant margin increases.

What is MLOps?

MLOps is the short term for machine learning operations and it represents a set of practices that aim to simplify workflow processes and automate machine learning and deep learning deployments. It accomplishes the deployment and maintenance of models reliably and efficiently for production, at a large scale. MLOps is slowly evolving into an independent approach to the machine learning lifecycle that includes all steps – from data gathering to governance and monitoring.

Open source in financial services - start with a strong foundation

Financial Institutions (FIs) need to respond with agility and business velocity to keep pace with changing economic conditions. Yet, emerging competition from fintechs and challenger banks and increasing customer expectations is making this task difficult, especially as regulatory and compliance requirements increase. Embracing the next phase of digital transformation is an imperative for financial institutions to sustain and grow in a competitive environment of rising cost pressures.

AWS re:Invent 2022 - Ubuntu and beyond: Securely managing open source on AWS

More and more companies are using open source. But how should it be secured? Similar or more urgent questions arise in the container world. Canonical is committed to securing open-source applications with not only Ubuntu but also a host of open-source applications for output (NGINX and Apache), runtime (Go, Node.js, and PHP), messaging (Kafka and RabbitMQ), data (MySQL, PostgreSQL, and Memcached) and observability and utilities (Prometheus and Grafana).

Application migration: best practices for success

Large enterprises usually have more than 1,000 systems running. Even smaller organisations may have hundreds of applications in their public cloud spaces or on their servers. In this world of IT systems, application migrations are common for the following reasons: In addition to these three general motivations, there is a growing repatriation trend. The public cloud provides the optimal environment for most systems but not for all. For some systems, private cloud hosting can be more cost-efficient.

Security and real-time Linux in a shifting automotive world

Software is completely changing the automotive industry - from vehicle design to use and maintenance. The whole lifecycle now relies on software and vehicles resembling “computers on wheels”. But vehicles aren’t regular devices like smartphones. They move humans at hundreds of kilometers per hour and need to be safe and secure at all times. When there is software involved, there are always security vulnerabilities. No cybersecurity expert can say the opposite. How can the automotive industry navigate the shift towards software-defined vehicles while ensuring the best level of security?

AI retail solutions: Market basket analysis

Retail is being reinvented by Artificial intelligence, and Machine Learning and retailers are challenged to respond to customers’ needs and preferences. From personalised promotions to inventory management, there is a wide spectrum of ai use cases in retail that are addressed by technological innovations. It is an industry that is rich in data, and more than using it to connect dots, machine learning retail solutions needs to gather insights to offer a better experience and retain clients.