Recap of SRECon Americas 2023
A Recap of SRECon 2023 Americas by guest author Sebastian Vietz.
The latest News and Information on DevOps, CI/CD, Automation and related technologies.
A Recap of SRECon 2023 Americas by guest author Sebastian Vietz.
In today’s digital economy, businesses have access to more data than ever. As newer technologies are introduced every single day, the risk of data being exposed to hackers is also increasing. Regardless of size or domain, almost every organization finds it challenging to meet its data security and management needs.
Retention policies play a crucial role in managing the life cycle of data in cloud storage. This comprehensive guide will provide an in-depth analysis of key factors that impact costs, explore the challenges and tradeoffs associated with various approaches, and highlight the importance of considering the impact on Azure storage.
Microsoft Azure, a leading cloud service provider, offers a vast array of resources to its users. In this ever-growing ecosystem, managing and organizing these resources is crucial. Enter Azure Resource Groups, a vital component of Azure’s management framework. This article will provide a comprehensive analysis of Azure Resource Groups, delving into key factors and addressing common questions.
The team at Cloudsmith is always looking for ways our customers and community can leverage adjacent technologies within the DevOps and application development ecosystem to secure the software supply chain. Cloudsmith developed the first integration with Datadog, the Cloud Monitoring as a Service solution, a few years ago! That integration was the first step in helping the community leverage both solutions simultaneously, strength for strength.
Developers love Visual Studio Code (VSCode) for its flexibility and for its goldilocks balance of powerful features and lightness / speed. VSCode is a popular choice for developers using Linux, but even those using VSCode on Mac or Windows often look for ways to use VSCode with a Linux environment. This can present a challenge.
Data center management traditionally requires a lot of manual effort, and the same data often must be entered into multiple disparate systems. Not only does this waste time, but it leads to inaccurate data due to human error.