Now more than ever, businesses are challenged to transform themselves into digital organizations to better serve employees, customers, and partners, more proactively, and in a more personalized way. Modern IT support is business-critical, and the demands on IT are growing exponentially, particularly amid the “new normal” of remote work. At the same time, business leaders are racing to envision and implement what their future work environments will look like.

We are excited to announce that Splunk has partnered with AWS in launching a new AWS Service Ready program – Lambda Ready. This designation recognizes that Splunk provides proven solutions for customers to build, manage and run serverless applications. AWS Lambda Ready designation establishes Splunk as an AWS Partner Network (APN) member that provides validated integrations and proven customer success with a specific focus on observability and monitoring of Lambda Functions.

Google Cloud recently expanded the list of GSuite audit logs that you can share with your Cloud Audit Logs, part of your organization’s Google Cloud’s account. This is awesome news and allows administrators to audit and visualize their GSuite Admin and Login activity in Splunk real-time via the same method used to stream Google Cloud logs and events into Splunk, using the Google-provided Pub/Sub to Splunk Dataflow template.

So, you are considering moving to the cloud. Or, likely, have already transitioned your services. If you are wondering what the next steps are, you have many options on how to move towards cloud infrastructure. This blog will cover what to consider when using public clouds. Specifically, we will focus on monitoring a hybrid cloud set up using the big 3 cloud providers, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

“I want to look them in the eye.” It’s a common saying about the importance of body language. In the past, that “look” might take a day of travel and cost most of a day of productivity. Today, however, modern enterprises are turning to real-time unified communication solutions to get meeting participants engaged—and cloud technology is the key.

If you’re in enterprise IT, you’ve probably already looked into Microsoft’s Azure public cloud. Microsoft Azure offers excellent enterprise-grade features and tightly integrates with Office 365 and Active Directory. It also provides a managed Kubernetes service, AKS, that you can provision from the Azure portal.

While Kubernetes has been traditionally used with Linux workloads, the desire to run Windows applications is an important need for many organizations that have critical applications running on Windows Server. Docker has already offered support for native Windows containers, so the next missing piece would be Windows node support in Kubernetes clusters. Google Cloud has recognized this gap and is now offering Windows support for Kubernetes clusters.

Both DynamoDB and MongoDB are NoSQL databases, but the similarities probably end there. In this article, we cover their strengths and weaknesses in 8 basic categories, so that you can decide which one suits best your needs. While the data model behind Mongo is more flexible for storage and retrieval, Dynamo is stronger in terms of scalability, consistent performance under heavy load, and infrastructure abstraction.