Skip to main content

Splunk Enterprise 9.0 Released

Splunk announced the next generation of the Splunk Platform, Splunk Enterprise 9.0. New enhancements to Splunk Cloud Platform and the general availability of Splunk Enterprise 9.0 empowers customers to make business decisions on full fidelity data, act faster on data insights, and customize how those insights are operationalized across their organization in the hybrid cloud.

Splunk introduced new capabilities and feature enhancements to the Splunk Cloud Platform and Splunk Enterprise 9.0 that help customers access more data sources easily, find and operationalize insights even faster, secure and scale deployments and streamline administration:

End-to-end visibility through expanded data access and optimized storage for greater customer choice, control, and cost savings:

- Data Manager for Splunk Cloud Platform delivers a scalable data onboarding experience across Amazon Web Services and Microsoft Azure today, with Google Cloud Platform support available later this summer, providing an easy-to-manage hybrid cloud control plane of data flowing into Splunk within minutes.

- Ingest Actions helps customers get data to the right places, in the right shape, and at the right time with granular controls to take action on data through filtering, masking, and routing of data in motion within the Splunk Platform or to external AWS S3 storage.

- Splunk Enterprise 9.0 extends cost effective cold storage beyond Amazon Web Services and Google Cloud Platform, to now include Microsoft Azure with SmartStore for Azure helping self-managed Splunk Enterprise customers reduce operating costs by up to 70%.

Rapid time to action through deeper investigation and an optimized administrative experience to address outages and security attacks without business disruption:

- With the expansion of Federated Search, Splunk enhances and simplifies investigation and search across hybrid cloud environments by providing users and administrators of the Splunk Platform a unified, single pane view of their entire Splunk ecosystem to enable quicker actionable insights.

- Splunk Assist is a new fully managed cloud service within Splunk Enterprise 9.0 that provides customers with deep insights into their security environment, leveraging insights from cloud deployments for a richer administrative experience.

Expanding the power of the Splunk platform with more ways to build and customize applications to extract greater business value from data insights:

- With the enhanced Splunkbase experience offering curated collections over 2,500 purpose-built apps and integrations, customers can easily apply the power of the Splunk portfolio to a large variety of data-centric use cases. Combined with our partner ecosystem of over 2,400 partner organizations can integrate third-party data sources to discover, deploy, and manage apps built to help customers turn data into doing.

- Now in preview, the Splunk Cloud Developer Edition lets developers easily create and test their applications, reducing time-to-value for enterprises building on, for, and with the Splunk Cloud Platform.

“Forward-thinking organizations demand full stack integration across business processes to unlock innovation, improve security and drive business resilience despite the complexity of technology environments,” said Garth Fort, Chief Product Officer, Splunk. “The latest innovations in the Splunk Platform enable customers to address the complexities of multi-cloud and hybrid environments, rapidly identify signals from noise, and turn data insights into business outcomes.”

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...

Splunk Enterprise 9.0 Released

Splunk announced the next generation of the Splunk Platform, Splunk Enterprise 9.0. New enhancements to Splunk Cloud Platform and the general availability of Splunk Enterprise 9.0 empowers customers to make business decisions on full fidelity data, act faster on data insights, and customize how those insights are operationalized across their organization in the hybrid cloud.

Splunk introduced new capabilities and feature enhancements to the Splunk Cloud Platform and Splunk Enterprise 9.0 that help customers access more data sources easily, find and operationalize insights even faster, secure and scale deployments and streamline administration:

End-to-end visibility through expanded data access and optimized storage for greater customer choice, control, and cost savings:

- Data Manager for Splunk Cloud Platform delivers a scalable data onboarding experience across Amazon Web Services and Microsoft Azure today, with Google Cloud Platform support available later this summer, providing an easy-to-manage hybrid cloud control plane of data flowing into Splunk within minutes.

- Ingest Actions helps customers get data to the right places, in the right shape, and at the right time with granular controls to take action on data through filtering, masking, and routing of data in motion within the Splunk Platform or to external AWS S3 storage.

- Splunk Enterprise 9.0 extends cost effective cold storage beyond Amazon Web Services and Google Cloud Platform, to now include Microsoft Azure with SmartStore for Azure helping self-managed Splunk Enterprise customers reduce operating costs by up to 70%.

Rapid time to action through deeper investigation and an optimized administrative experience to address outages and security attacks without business disruption:

- With the expansion of Federated Search, Splunk enhances and simplifies investigation and search across hybrid cloud environments by providing users and administrators of the Splunk Platform a unified, single pane view of their entire Splunk ecosystem to enable quicker actionable insights.

- Splunk Assist is a new fully managed cloud service within Splunk Enterprise 9.0 that provides customers with deep insights into their security environment, leveraging insights from cloud deployments for a richer administrative experience.

Expanding the power of the Splunk platform with more ways to build and customize applications to extract greater business value from data insights:

- With the enhanced Splunkbase experience offering curated collections over 2,500 purpose-built apps and integrations, customers can easily apply the power of the Splunk portfolio to a large variety of data-centric use cases. Combined with our partner ecosystem of over 2,400 partner organizations can integrate third-party data sources to discover, deploy, and manage apps built to help customers turn data into doing.

- Now in preview, the Splunk Cloud Developer Edition lets developers easily create and test their applications, reducing time-to-value for enterprises building on, for, and with the Splunk Cloud Platform.

“Forward-thinking organizations demand full stack integration across business processes to unlock innovation, improve security and drive business resilience despite the complexity of technology environments,” said Garth Fort, Chief Product Officer, Splunk. “The latest innovations in the Splunk Platform enable customers to address the complexities of multi-cloud and hybrid environments, rapidly identify signals from noise, and turn data insights into business outcomes.”

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...