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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

What's new in Turbo360 - Automation in Cost group management, App Registration details..

Turbo360's (formerly Serverless360) latest updates bring a suite of enhancements. These include automation in cost group management, enhanced cost analyzer features, improved usability in BAM transaction diagrams, and app registration details in Azure Documenter reports.

FOSDEM - Costa Tsaousis: Netdata Open Source Distributed Observability Pipeline Journey & Challenges

FOSDEM - Costa Tsaousis: Netdata Open Source Distributed Observability Pipeline Journey & Challenges ABSTRACT: Netdata is a powerful open-source, distributed observability pipeline designed to provide higher fidelity, easier scalability, and a lower cost of ownership compared to traditional monitoring solutions. This presentation will offer an in-depth overview of the journey we've undertaken in building Netdata, highlighting the challenges we've faced and the innovative solutions we've developed to address them.

Understanding SharePoint Online Licensing and Pricing

Imagine a place where all your work documents, projects, and team collaborations live—a space that’s not just in the office but accessible from anywhere, at any time. That’s SharePoint Online for you. It’s a cloud-based service, hosted by Microsoft, designed to empower organizations to share and manage content, knowledge, and applications.

5 things to look for in a database monitoring tool

Databases are the backbone of enterprise-level organizations, facilitating efficient data management, supporting critical business processes, and providing a foundation for secure innovation and growth. Effective database monitoring is critical for maintaining a high level of performance, security, and reliability in database systems, particularly in enterprise-level environments where large volumes of data and critical business operations are involved.

Advancing MLOps with JFrog and Qwak

Modern AI applications are having a dramatic impact on our industry, but there are still certain hurdles when it comes to bringing ML models to production. The process of building ML models is so complex and time-intensive that many data scientists still struggle to turn concepts into production-ready models. Bridging the gap between MLOps and DevSecOps workflows is key to streamlining this process.