On the heels of several exciting developments about Splunk Cloud Platform announced at.conf22, I am excited to share today that Data Manager now supports onboarding of Microsoft Azure data sources, effective immediately.

Azure is the public cloud computing platform of Microsoft and it offers: Azure comprises more than 600 cloud services and supports varied operating systems, databases and developer tools. And the best part (in our opinion)? Splunk On-Call integrates with Microsoft Azure to help on-call teams improve incident response for Azure-based environments.

VP, Global Channels and Strategic Alliances AppDynamics Mark Maslach discusses the excitement around AppDynamics Cloud and how we’re helping our partners and their customers deliver exceptional application experiences.

VMware Tanzu Observability offers easy integration with Amazon Web Services (AWS) CloudTrail, enabling operators to view events that are related to governance, compliance, and operational and risk auditing for your AWS account. This post walks you through the process of integrating CloudTrail Service with Tanzu Observability Wavefront to take advantage of these consolidated features.

Organizations receive high monthly bills from cloud providers with no way of determining why the number changes from month to month or how to accurately predict future spend. More importantly, there is little information to provide visibility if cloud resources are being deployed efficiently or if spend is correlated to business performance.

Enterprises today want real-time business insights to make decisions that improve operational efficiency and customer engagement and present newer revenue opportunities. However, the promise of the data-driven business falls short due to gaps in data management. These gaps exist because data in the modern enterprise doesn’t exist only behind firewalls and within organizational premises.

As cloud technology has matured, hybrid and multi-cloud approaches have become commonplace. Enterprises have discovered that not all applications are suitable for the public cloud, meaning on-premise data centres are still active, and each public cloud has its own strengths and weaknesses, driving businesses to mix-and-match to suit their needs. This results in interoperability challenges for multi-cloud environments.

Distributed caching is an important aspect of cloud based applications, be it for on-premises, public or hybrid cloud environments. It facilitates incremental scaling, allowing the cache to grow and incorporate the data growth. In this blog we will explore distributed caching on cloud and why it is useful for environments with high data volume and load.

Earlier this year we released our report on the cost of cloud. Through this white paper we discovered the complexities of cloud costs for businesses and alternatives beyond the hyperscalers. This white paper saw 1,000 cloud developers surveyed about the management of their cloud services, and the degree of costs associated with it. From this analysis, we were able to come up with 5 key takeaways outlining the degree to which hyperscalers are overpromising and under-delivering.

Even though NoSQL databases like Amazon’s own DynamoDB are very popular today, for many business use cases, there’s almost no way around using a traditional relational database. Amazon Relational Database Service (RDS), released back in October 2009, is one of Amazon’s first cloud services and can therefore be seen as a very mature service.