Discover everything about the powerful ServiceNow Squadcast bidirectional integration, its key features and benefits, designed to streamline incident resolution and enhance collaboration within your DevOps and IT teams. Key takeaways:​Accelerate Incident Response: Streamline incident response and accelerate resolution directly through Squadcast and ServiceNow ​Enhanced Learning and Retrospectives: Simplify tracking, retrospectives, and learning for your engineering team, ensuring a more efficient and productive incident management process.

Azure cost monitoring - Create and manage budgets When it comes to managing costs in the Azure cloud, it is essential to have a reliable system that can help you keep track of your spending and alert you when you are getting close to exceeding your budget. This is where Turbo360's Budgets monitoring feature comes in. The Azure Budgets monitoring feature in Turbo360 is designed specifically for Azure cost monitoring. It allows you to create budgets for your Azure resources, monitor your spending, and receive alerts when you are approaching or exceeding your budgeted amount.

Integrate changes into your PRs, without the limitations of the traditional review process. Just pull in updates, create your patch, and share with a link – all in just a few clicks. ✨

Are you a Cloud Service Provider (CSP) feeling stranded after the recent VMware contract terminations by Broadcom? You're not alone. In December 2023, a seismic shift occurred, leaving over 4,500 VCSP partners in a challenging position. A select few have transitioned to Pinnacle and Premier partnerships, but what about the rest? Over 4,000 partners find themselves as "registered partners" without direct support or contracts, facing uncertain futures and potential business risks.

AI is at the heart of a revolution in the technology space. Organisations from all industries are looking for ways to put AI to work. Once they have finalised use case assessment, their next question is typically related to the environment they will use to develop and deploy their AI initiatives. They often prefer the public clouds as an initial environment, because of the computing power and ability to scale as projects mature. In addition to the infrastructure, enterprises need software where they can develop and deploy the machine learning models.