Operations | Monitoring | ITSM | DevOps | Cloud

A feature we often get asked about at Kosli is whether we can help support a release/promotion workflow: a workflow that deploys a known set of Artifacts from one runtime environment (eg beta/staging) into another runtime environment (eg production), typically in parallel. The simple answer is we can help, and in this blog we show the release workflow in the Kosli cyber-dojo demo project (an open sourced application for practising TDD from your browser).

Load testing is an extremely valuable practice for assessing how your application will actually perform in production. Whether you're expecting a handful of concurrent users or anticipate thousands, it's important to have an idea of the kind of loads that will be placed on your systems and be aware of where bottlenecks or saturation may occur.

Azure is the cloud service provider of choice for a variety of reasons – such as its ease of use, its wide variety of services, the strong community around it and its integration with other Microsoft services. While Azure comes with native data visualization solutions such as dashboards and workbooks, they require a significant amount of Azure knowledge to create and maintain.

We’re pleased to release Ubuntu Security Guide profiles for CIS benchmarks. These profiles will allow customers to automatically harden and audit their Ubuntu 24.04 LTS systems, in conformance with the benchmarks.

Here at Grafana Labs, we have an on-going commitment to providing solutions that increase productivity without sacrificing ease-of-use. Last year, in line with that effort, we introduced experimental and public preview releases of Grafana k6 Studio, an open source desktop application that helps you create k6 test scripts quickly and easily via a visual interface. Today, we’re excited to share the general availability of k6 Studio v1.0.

In any observability stack, logs are essential for uncovering insights, troubleshooting issues, and ensuring system health. However, managing the security of logged data presents its own challenges, especially when it comes to preventing sensitive information, like API keys and credentials, from slipping into logs. Secrets can originate from a variety of sources, and it’s often challenging to predict which applications or services might inadvertently expose sensitive information.

The landscape of artificial intelligence is rapidly evolving, demanding robust and scalable infrastructure. To meet these challenges, we’ve developed a comprehensive reference architecture (RA) that leverages the power of open-source tools and cutting-edge hardware.

At MetricFire, we love talking with engineers about their tech stacks, SRE challenges, and how they approach infrastructure monitoring. Recently, we had a great chat with Yoimer Roman from a Latin American cloud consulting company, that helps clients make smarter business decisions by leveraging AWS CloudWatch monitoring. Yoimer wears many hats: mentoring his team on all things AWS, designing custom cloud environments, and bridging the gap between technical challenges and non-technical stakeholders.

Last week marked the inaugural HumanX conference, a convening of leaders, technologists, policy makers, and media, all brought together to discuss the state of AI and its potential impact on the future of software, business, and society.