Skip to main content

Splunk Observability Cloud and Splunk Cloud Platform Integrations and Enhancements Announced

Splunk is previewing the OpenTelemetry Collector as a technical add-on (TA), so Splunk Platform customers can more easily adopt Splunk Observability Cloud and deploy the Collector alongside their existing forwarders to capture metrics and traces.

This new feature eliminates the headaches of deploying and managing two agents by providing customers a unified view of their infrastructure and services. The introduction of the Collector is a milestone in Splunk’s commitment to the OpenTelemetry project and the open-source community by helping customers transmit their data with less complexity and greater flexibility.

With Splunk’s new Unified Identity, ITOps practitioners and engineers can now seamlessly and immediately access Splunk Cloud Platform and Splunk Observability Cloud data with one user identity. As a result, customers can enjoy an improved login experience and instantly access log data from Splunk Cloud Platform data for faster troubleshooting. The integration provides ITOps practitioners and engineers a common set of visualizations for more agile cross-team alignment to drive rapid detection and response.

In addition, the latest advancements in Splunk Cloud Platform and Splunk Enterprise 9.1 enable SecOps, ITOps and engineering teams to visualize data flows across their entire tech stack to foster deeper collaboration, so organizations can scale their operations to respond rapidly and minimize disruptions.

Platform enhancements include:

- Ingest Actions now expands capabilities for routing data to multiple, distinct Amazon S3 buckets, enabling greater granularity in data management.

- The new Federated Search for Amazon S3 preview offers a unified search experience of data at rest in Amazon S3 buckets - without having to ingest that data to Splunk - and across Splunk instances and third party data lakes through its integration with Ingest Actions and Edge Processor for better data movement. In turn, customers avoid latency and unnecessary charges.

- Edge Processor featuring SPL2 now enables data ingestion and export to Splunk using HTTP Event Collector (HEC), making it easier to manage data. In addition, to complement data sovereignty and compliance needs, users can set default destinations per Edge Processor for more flexibility in routing.

The Latest

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...

Splunk Observability Cloud and Splunk Cloud Platform Integrations and Enhancements Announced

Splunk is previewing the OpenTelemetry Collector as a technical add-on (TA), so Splunk Platform customers can more easily adopt Splunk Observability Cloud and deploy the Collector alongside their existing forwarders to capture metrics and traces.

This new feature eliminates the headaches of deploying and managing two agents by providing customers a unified view of their infrastructure and services. The introduction of the Collector is a milestone in Splunk’s commitment to the OpenTelemetry project and the open-source community by helping customers transmit their data with less complexity and greater flexibility.

With Splunk’s new Unified Identity, ITOps practitioners and engineers can now seamlessly and immediately access Splunk Cloud Platform and Splunk Observability Cloud data with one user identity. As a result, customers can enjoy an improved login experience and instantly access log data from Splunk Cloud Platform data for faster troubleshooting. The integration provides ITOps practitioners and engineers a common set of visualizations for more agile cross-team alignment to drive rapid detection and response.

In addition, the latest advancements in Splunk Cloud Platform and Splunk Enterprise 9.1 enable SecOps, ITOps and engineering teams to visualize data flows across their entire tech stack to foster deeper collaboration, so organizations can scale their operations to respond rapidly and minimize disruptions.

Platform enhancements include:

- Ingest Actions now expands capabilities for routing data to multiple, distinct Amazon S3 buckets, enabling greater granularity in data management.

- The new Federated Search for Amazon S3 preview offers a unified search experience of data at rest in Amazon S3 buckets - without having to ingest that data to Splunk - and across Splunk instances and third party data lakes through its integration with Ingest Actions and Edge Processor for better data movement. In turn, customers avoid latency and unnecessary charges.

- Edge Processor featuring SPL2 now enables data ingestion and export to Splunk using HTTP Event Collector (HEC), making it easier to manage data. In addition, to complement data sovereignty and compliance needs, users can set default destinations per Edge Processor for more flexibility in routing.

The Latest

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...