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Splunk Now Available on Microsoft Azure

Splunk announced the general availability of its enterprise security, observability and platform offerings on Microsoft Azure.

In partnering with Microsoft Corp., Splunk empowers organizations to scale their digital transformation on Azure with unified solutions that accelerate innovation and strengthen security.

"Splunk's strategic partnership with Microsoft to build Splunk natively on Azure demonstrates our commitment to advancing digital resilience to help our customers and partners remain secure and up and running at every step of their cloud journey,” said Tom Casey, Senior Vice President, Splunk Products & Technology Group. “Together, Splunk and Microsoft are integrating enterprise data to strengthen digital resilience and deliver superior hybrid-cloud solutions, both natively and on-premises, that help organizations achieve their digital transformation strategy. Today’s news emphasizes Splunk’s dedication to meeting our customers where they are, and we are pleased to now offer even more flexibility on the trusted Microsoft Azure platform.”

Built natively on Microsoft Azure and powered by Splunk AI, the availability of Splunk Cloud Platform, Splunk Enterprise Security, and Splunk IT Service Intelligence enhances the agility and flexibility of Splunk’s software-as-a-service (SaaS) offerings by enabling comprehensive visibility, rapid detection and investigation, and optimized response. With Splunk on Microsoft Azure, customers and partners can leverage powerful data insights to accelerate innovation, strengthen security postures and optimize infrastructure and application performance.

Existing Splunk customers can choose to migrate on-premises or self-managed cloud deployments to Microsoft Azure, ensuring enhanced security and reliability by delegating the management and deployment of their Splunk infrastructure to Azure. This transition frees up internal resources to focus on mission-critical initiatives rather than managing self-hosted Splunk deployments. With access to the SaaS offerings of Splunk, organizations will be able to unlock cloud value and drive security and observability outcomes from within their Azure environment. Customers with a Microsoft Azure Consumption Commitment (MACC) can utilize their commitment toward Splunk.

Benefits of Splunk deployment on Azure include:

- Simpler administration: Splunk will manage the IT backend for customers’ Splunk deployments, allowing customer teams to act on data insights and explore and implement new use cases.

- Fewer infrastructure requirements: Splunk-provisioned and managed infrastructure delivers a turnkey, cloud-based and scalable data analytics solution.

- Lower total cost of ownership (TCO): Existing Azure customers save on administrative costs and overhead costs, as well as the costs associated with managing private data centers or public cloud infrastructures. They can also avoid egress and ingress costs.

- Improved security: Customers will benefit from consistent Splunk releases to enhance security.

“Accelerating the outcomes and opportunity of AI is essential to meeting the needs of customers across the globe,” said Deb Cupp, President, Microsoft Americas. “Splunk and Microsoft share a commitment to help organizations succeed in the AI era. Our partnership empowers rapid innovation that supports our joint customers’ journey to expedite digital resilience and drive success.”

“The Splunk and Microsoft alliance helps large organizations with complex IT stacks scale their AI transformation efforts and deliver visibility across data sources to ensure enterprise resiliency,” said Michelle Abraham, Research Director, Security and Trust, IDC. “As trusted innovators, Splunk and Microsoft provide customers with the ability to unlock value by simplifying infrastructure requirements, improving security, and decreasing the total cost of ownership.”

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Splunk Now Available on Microsoft Azure

Splunk announced the general availability of its enterprise security, observability and platform offerings on Microsoft Azure.

In partnering with Microsoft Corp., Splunk empowers organizations to scale their digital transformation on Azure with unified solutions that accelerate innovation and strengthen security.

"Splunk's strategic partnership with Microsoft to build Splunk natively on Azure demonstrates our commitment to advancing digital resilience to help our customers and partners remain secure and up and running at every step of their cloud journey,” said Tom Casey, Senior Vice President, Splunk Products & Technology Group. “Together, Splunk and Microsoft are integrating enterprise data to strengthen digital resilience and deliver superior hybrid-cloud solutions, both natively and on-premises, that help organizations achieve their digital transformation strategy. Today’s news emphasizes Splunk’s dedication to meeting our customers where they are, and we are pleased to now offer even more flexibility on the trusted Microsoft Azure platform.”

Built natively on Microsoft Azure and powered by Splunk AI, the availability of Splunk Cloud Platform, Splunk Enterprise Security, and Splunk IT Service Intelligence enhances the agility and flexibility of Splunk’s software-as-a-service (SaaS) offerings by enabling comprehensive visibility, rapid detection and investigation, and optimized response. With Splunk on Microsoft Azure, customers and partners can leverage powerful data insights to accelerate innovation, strengthen security postures and optimize infrastructure and application performance.

Existing Splunk customers can choose to migrate on-premises or self-managed cloud deployments to Microsoft Azure, ensuring enhanced security and reliability by delegating the management and deployment of their Splunk infrastructure to Azure. This transition frees up internal resources to focus on mission-critical initiatives rather than managing self-hosted Splunk deployments. With access to the SaaS offerings of Splunk, organizations will be able to unlock cloud value and drive security and observability outcomes from within their Azure environment. Customers with a Microsoft Azure Consumption Commitment (MACC) can utilize their commitment toward Splunk.

Benefits of Splunk deployment on Azure include:

- Simpler administration: Splunk will manage the IT backend for customers’ Splunk deployments, allowing customer teams to act on data insights and explore and implement new use cases.

- Fewer infrastructure requirements: Splunk-provisioned and managed infrastructure delivers a turnkey, cloud-based and scalable data analytics solution.

- Lower total cost of ownership (TCO): Existing Azure customers save on administrative costs and overhead costs, as well as the costs associated with managing private data centers or public cloud infrastructures. They can also avoid egress and ingress costs.

- Improved security: Customers will benefit from consistent Splunk releases to enhance security.

“Accelerating the outcomes and opportunity of AI is essential to meeting the needs of customers across the globe,” said Deb Cupp, President, Microsoft Americas. “Splunk and Microsoft share a commitment to help organizations succeed in the AI era. Our partnership empowers rapid innovation that supports our joint customers’ journey to expedite digital resilience and drive success.”

“The Splunk and Microsoft alliance helps large organizations with complex IT stacks scale their AI transformation efforts and deliver visibility across data sources to ensure enterprise resiliency,” said Michelle Abraham, Research Director, Security and Trust, IDC. “As trusted innovators, Splunk and Microsoft provide customers with the ability to unlock value by simplifying infrastructure requirements, improving security, and decreasing the total cost of ownership.”

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...