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By Mangesh Pimpalkhare
At.conf25, we announced our vision for Cisco Data Fabric, an architecture designed to help organizations unlock the value of machine data, fuel AI with trusted context, and support more intelligent and resilient operations. Today, that vision has become reality. Key Splunk Platform innovations including Machine Data Lake, Catalog, and Agent Launchpad, together with expanded Federated Search and Data Management capabilities, are now generally available.
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By Cale Hilts
Observability has always been about seeing clearly under pressure. But the pressure has changed. Applications are more distributed. Kubernetes environments keep expanding. Digital experiences depend on services, APIs, networks, third-party providers, and now AI models and agents that can make decisions faster than a human team can review every signal.
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By Splunk
600 billion annual impact: Aggregate downtime costs for the Global 2000 have soared 50% in two years. $15,000 per minute: The average cost of downtime for organisations, highlighting the immediate financial impact of service disruptions. 3.4% stock price drop: The average decline in shareholder value following a single downtime incident.
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By Kamal Hathi
As we wrap up RSAC, one theme that repeatedly emerged in conversations with security leaders is that the modern enterprise has reached a critical inflection point where the velocity of machine-generated telemetry has outpaced the capacity of traditional architectures. This trend requires an approach that moves beyond the storage of information to the activation of it in ways that don’t simply exacerbate alert fatigue.
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By Kamal Hathi
The world is generating data at a pace that defies the human ability to draw insights and comprehend. By 2028, we’ll reach almost 400 zettabytes of global data—with over 55% of it coming from machines talking to machines. For enterprises, this isn’t just a storage problem; it’s an existential challenge.
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By JK Lialias
Imagine starting your day with a dozen disconnected apps where your calendar does not sync with your reminders, your maps do not know your appointments, and your contacts are not linked to your messages. You would constantly be scrambling, missing key details, and reacting late to what matters most. In our personal lives, we depend on tight integration to keep pace with the world. In business, the stakes are even higher.
Navigating Machine Data at Infinite Scale: Why the Modern Enterprise Demands a New Data Architecture
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By Seth Brickman
In the modern enterprise, data is no longer just a byproduct of business; it is the lifeblood. However, we have moved beyond the era of simple transactional data. We are now living in the age of machine data.
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By Huaibo Zhao
We are excited to announce the release of the Splunk App for Data Science and Deep Learning (DSDL) version 5.2.3. Since 2018, DSDL has served as an innovation hub for custom AI integrations within Splunk. In 2025, the release of DSDL 5.2.0 introduced customizable Large Language Model (LLM) integrations, bringing Retrieval Augmented Generation (RAG) and Agentic AI workflows to Splunk users.
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By Kamal Hathi
To succeed in the AI era, customers need fast, easy access to security solutions that can harness the power of agentic AI and deliver business outcomes. They need seamless access to their data for faster threat detection, simpler incident response, and reduced risk. They need technology vendors to work together and not in silos.
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By Milena Chen
The Tier 2 SOC Analyst or the Incident Responder (often hailed as the "Sherlock Holmes of the network") faces an increasingly complex and relentless digital landscape. In a world where analysts are being overwhelmed by alerts, held back by fragmented, manual tooling and inefficient workflows, incident responders are charged with the critical task of identifying, analyzing, and mitigating security threats.
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By Splunk
In this session, we will introduce your new "digital teammate"—the supercharged Splunk AI Assistant. We’ll demonstrate how the new Agent Mode provides the context, reasoning, and recommendations necessary to reduce your mean time to resolution (MTTR) from hours to minutes.
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By Splunk
Tech Talk features a live demonstration of the new SPL2 Search Mode and explores how to leverage SPL2 modules and apps to streamline your investigations. Whether you are building custom solutions or investigating security threats, learn how to turbocharge your use cases with a flexible language that supercharges our original SPL.
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By Splunk
During this Tech Talk we’ll share how AI Canvas in Splunk can help your team unify across domains via a shared, synchronous workspace where operators, agents, and stakeholders see the same pinned evidence, timelines, and conclusions in real time.
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By Splunk
During this Tech Talk, we will demonstrate how to move beyond manual toil with automated field extraction, guided onboarding, auto-schematization, and self-healing pipelines. You will learn how to streamline building data pipelines, reduce operational overhead, and ensure your data is always analytics-ready for your most critical use cases.
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By Splunk
Discover how our latest tools and insights help you maximize value, optimize total cost of ownership, and accelerate innovation. We’re committed to helping you achieve outcomes that matter most to your business, today and into the future by turning your data into doing.
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By Splunk
We’re diving into how you can bring Infrastructure as Code (IaC) principles to your Splunk environment. Whether you’re already a Terraform pro or just starting to explore how IaC can simplify your workflow, this Tech Talk will give you a solid look at what’s possible.
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By Splunk
Introducing the Splunk Agent Launchpad! Let’s face it—your team is busy. Between managing alerts, digging through investigations, and constant context-switching, it’s hard to stay ahead of the noise. What if you could turn your existing operational knowledge into custom AI agents that do the heavy lifting for you? And the best part? No coding required. Watch this exclusive look at the Splunk Agent Launchpad. We’re showing you how to build, deploy, and manage AI agents that help you investigate, enrich, summarize, and act—all without leaving the Splunk environment you already know and trust.
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By Splunk
Explore how to leverage observability insights to reduce metric costs with Span Observability. Led by Tomasz Romaniuk and Martyna Karbownik from Cisco, this tech talk covers the significance of metric time series in impacting cardinality and consequently driving metric costs. After a theoretical introduction, the presentation dives into practical real-life use cases demonstrating how to effectively utilize available tools for cost reduction. The session concludes with an overview of future developments and a Q&A segment for audience inquiries.
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By Splunk
Charlie Huggard traces his path from teddy bear–loving customer, to Splunk Trust member, to technical leader at Splunk. Along the way, he reflects on the community that helped him grow and the meaningful values that make Splunk special.
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By Splunk
It's time to go from reactive firefighting to predictive prevention. Learn how the Time Series Foundation Models can forecast system failures before they cascade.
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By Splunk
Gaining insights from your data requires more than collecting and analyzing metrics and logs. With the acceleration of customer and business demands, site reliability engineers and IT Ops analysts now require operational visibility into their entire architecture, something that traditional APM tools, dev logging tools, and SRE tools aren't equipped to provide. Observability enables you to inspect and understand your IT stack; but what is it, and how does it differ from IT monitoring?
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By Splunk
The hype around artificial intelligence (AI) and machine learning (ML) has exploded, sometimes overshadowing the real uses and innovations happening everyday at organizations across the globe. The reality is that applying AI and ML to data-dependent challenges presents opportunity for better security, faster innovation and overall improved efficiency.
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By Splunk
Imagine a world where incident alerts arrive 30 minutes before problems even begin - you'd actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again - the right AIOps (Artificial Intelligence for IT Operations) solution can help you maintain uptime, reduce manual incident-management tasks and increase productivity.
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By Splunk
Most IT organizations have adopted event management as a central practice to help find and fix what's broken, but today's tools focus on managing the volume of events-they do not deliver service context. Without context, you are ill-equipped to focus on the right problem at the right time. What you need is something different-something that makes IT events less eventful and more insightful-and now, you can finally do it!
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By Splunk
At Splunk, we make it easy for our customers to turn mountains of machine data in their Amazon Web Services (AWS) and hybrid environments into valuable business, operational and security insights that improve their businesses.
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By Splunk
The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data-the largest category of big data-which is both untapped and full of potential.
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By Splunk
From protecting customer experience to preserving lines of revenue, IT operations teams are faced with increasingly complex responsibilities while being required to prevent outages that could harm the organization. Splunk IT Service Intelligence (ITSI) utilizes AI powered by machine learning to deliver a predictive IT and ensure optimal application performance and quality.
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By Splunk
Let's face it - the struggle to monitor basic server metrics in modern hybrid infrastructures is real. But deploying and maintaining monitoring tools doesn't have to be a major headache. Splunk Insights for Infrastructure can help your team index both Linux and AWS data, enabling them to quickly identify and remediate the root cause of problems.
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By Splunk
Splunk is probably the single most powerful tool for searching and exploring data you will ever encounter. Exploring Splunk provides an introduction to Splunk -- a basic understanding of Splunk's most important parts, combined with solutions to real-world problems.
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By Splunk
Digital transformation has led to complex environments that continuously generate new data. As a result, organizations are left unsure about how to best use their data to foster growth and edge out the competition. It's not enough to just have mountains of data, it needs to be analyzed and made sense of in a way that best suits the business.
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Splunk produces software for searching, monitoring, and analyzing machine-generated big data, via a Web-style interface.
Splunk turns machine data into answers. Regardless of your organization’s size and industry, Splunk can give you the answers you need to solve your toughest IT, security and business challenges—with the option to deploy on-premises, in the cloud or via a hybrid approach.
Work the Way Your Data Works:
- Real-Time: Splunk gives you the real-time answers you need to meet customer expectations and business goals.
- Machine Data: Use Splunk to connect your machine data and gain insights into opportunities and risks for your business.
- Scale: Splunk scales to meet modern data needs — embrace the complexity, get the answers.
- AI and Machine Learning: Leverage artificial intelligence (AI) powered by machine learning for actionable and predictive insights.
Any Question. Any Data. One Splunk.