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A "request for comments" patch series was posted for a new dynamic kernel stacks feature for Linux. Early testing has shown potential for significant memory savings. Google has implemented support for dynamic kernel stacks following a proposal from last year. The default stack size for the Linux ker.. read more
Platform teams can assist developers in visualizing trends in CI test performance and identify issues like flaky tests, failures, and regressions. By leveraging tools like dashboards and monitors, platform teams can help developers optimize their workflows and enhance the reliability and performance.. read more
Documentation as code (DaC) treats software documentation like software code, with plain text format, version control, and rigorous review processes. DaC leverages developer tools and workflows to improve the quality and usability of documentation. It aims to bring the power of version control, auto.. read more
Alert fatigue is a common issue impacting various sectors, including healthcare, aviation, IT, and engineering teams. Teams often face an overwhelming volume of alerts, lack ongoing alert management, lack clarity around triggered alerts, and lack correlation between similar alerts, among other cause.. read more
The Business Case for OpenTelemetry shows how this open-source observability framework is a game changer for APM tools, providing standardized data collection and transmission processes for modern applications. It impacts all levels within the APM vendor and user communities, offering benefits such .. read more
Let’s compare the often underrated On Call Management tools that can change your Incident Response. Hint: Excluding PagerDuty & Opsgenie.
Nix is a powerful tool for building Docker images efficiently, allowing you to specify dependencies ahead of time and make minimal changes when updating your software. This approach reduces wasted space, increases reproducibility, and streamlines the image building process, making it ideal for both .. read more
Managing an SDK in production over several years is similar to taming a multi-headed beast. Each aspect of the development process demands unique attention and precision. Balancing the evolving needs of a diverse user base, adapting to the ever-changing technology landscape, and ensuring consistent, high-quality performance across various environments presents a complex array of challenges. This article distills the key lessons and strategies we've honed from years of experience in maintaining and evolving our SDKs in a dynamic and demanding technological ecosystem.
Venture capital funding for AI projects is on the rise, with significant investment and hype surrounding language models. However, the key to success lies in ensuring sustainable investments that deliver long-term value, rather than chasing the latest trends without a clear strategy... read more
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