Microsoft Azure provides an array of managed services to support many aspects of cloud computing, including application development, workload migration, and data management. To help you monitor the health and performance of these services, Datadog offers integrations with more than 40 Azure services, including Azure Kubernetes Service (AKS), Cosmos DB, and Azure App Services. Each integration provides robust data visualizations, meaningful alerts, and one-click Datadog Agent deployment.

Traditionally, data centers have been managed using on-premises software – and for many companies, this solution has been sufficient. However, as the data center environment becomes more intricate and dynamic, a new approach to management is required. Cloud-based Data Center Infrastructure Management (DCIM) software has emerged as the next generation of management tools, offering unmatched flexibility, scalability, and cost-effectiveness.

For years “the move to the cloud” implied a singular event – a singular migration to a singular entity. It all sounded so simple. Yet, the “simple” act of moving to the cloud stands in stark contrast to the reality of today’s complex, hybrid IT estates where the overwhelming volume of data flows can make it challenging for IT teams to effectively pinpoint and rectify service incidents.

Every day, we hear about new vulnerabilities or exploits that underline the importance of application security in today’s connected world. Such incidents put sensitive user information at risk and threaten applications’ infrastructure. Securing applications is therefore crucial not only from a technical standpoint but also to maintain user trust and ensure service reliability. The challenge lies in identifying and mitigating potential security threats before they can be exploited.

Another KubeCon has passed! Now that we have all (hopefully) recovered from the week in Paris with good food, wine, and catching up with colleagues, let’s talk about the important topics that took center stage at KubeCon EU 2024 this year. As we celebrate the 10th anniversary of the initial Kubernetes release, it’s evident that the growth and positive impact of containerized computing have revolutionized the industry.

Many businesses operating in the cloud are looking for ways to reduce cloud costs, and enterprises using Google Cloud are no exception. One of the pricing models Google Cloud is offering to users is Committed Use Discounts (CUDs). This pricing model allows customers to commit either to a minimum amount of resource usage or to a minimum amount of spend for a specified term of one or three years. In return for this commitment, customers receive significant discounts compared to on-demand pricing.

This is part four of seven in our Frugal Architect blog series. Read the rest of the series here. In case you weren’t as giddy as CloudZero was at re:Invent this past year, we wanted to recount the seven laws outlined by Werner Vogels, Amazon’s CTO, which he’s bundled into a framework called “The Frugal Architect” (check out the whole framework here). What is “The Frugal Architect”?

If you are an MSP, AIOps can be a game changer for your business. By leveraging AI-driven automation, analytics, and insights across your managed IT services portfolio, you can drive operational excellence, improve service quality, and deliver greater value to your clients. But there are many AIOps and observability tools in the market. Here are 13 reasons why many MSPs select Virtana as their AIOps and observability partner of choice.

If you’ve spent any time poking around our blog, you’ve noticed one thing: At CloudZero, we are passionate about FinOps. More than that, we’re passionate about bringing the most useful and up-to-date information on FinOps to our customers to help them better navigate their journeys toward cloud cost optimization.

In the rapidly evolving world of cloud computing, Azure OpenAI has emerged as a cornerstone for businesses seeking to leverage advanced artificial intelligence (AI) capabilities. Developed through a collaboration between Microsoft and OpenAI, this managed service has transformed how organizations build and deploy large language models (LLMs), integrating seamlessly with Microsoft services such as GitHub Copilot, Power BI, Designer, and Office 365.