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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.
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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
Confronted with issues like tool sprawl and excessive alerts, UK teams report higher-than-average rates of alert fatigue and burnout.
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By Stephen Watts
Modern systems don't fail because engineers lack skills; they fail because teams can't see why systems are failing at all or can’t see why they’re failing fast enough. Often, the problem isn't a lack of tools — it's a lack of clear, connected visibility across data, teams, and systems. This is where observability transforms how organizations operate. It's no longer just about keeping systems running.
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By Kamal Hathi
At.conf25, we took a bold step forward—introducing the concept of MachineGPT, which brings the power of generative AI to one of the most overlooked resources: machine data. MachineGPT speaks the language of machines. Just like ChatGPT learned the grammar of words and sentences to understand questions and respond in human language, MachineGPT can learn the hidden “grammar” of how systems behave through machine data.
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By Splunk
As businesses embrace AI, research highlights need to modernise data and compliance strategies.
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By Michael Raich
The digital landscape has transformed dramatically, and with it, the demands on our systems have grown exponentially. Traditional monitoring tools struggle to provide sufficient insight into complex, distributed, cloud-native environments. Observability is the answer, moving beyond merely knowing "what" is happening to understanding "why" it's happening, and its impact on user experience and business outcomes.
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By Splunk
In this video, I walk through the three main pieces of the new Kubernetes monitoring experience in Splunk Observability Cloud: the Kubernetes overview page for monitoring the status and top issues across your environment, the Kubernetes Entities page for troubleshooting individual instances with correlated metrics, logs, events, and configuration, and the Workload Optimization view for getting actionable recommendations on your CPU and memory resource allocation.
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By Splunk
Transform reactive incident response with Splunk’s troubleshooting agents, designed to drastically reduce mean time to identify and resolve issues. This session demonstrates how a multi-agent approach empowers teams of all skill levels to pinpoint root causes, prioritize issues by business impact, and prevent future outages. Tech Talk sessions offer insightful and valuable deep-dives for any technical practitioner.
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By Splunk
See how Digital Experience Analytics in Splunk Observability Cloud helps you understand real user behavior, troubleshoot conversion drop-offs, and measure feature adoption—all from a single platform.
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By Splunk
La complexité des environnements IT ne cesse de croître. La visibilité en temps réel n'est plus une option. Le 14 avril 2026, Stéphane Estevez , EMEA Observability Market Advisor chez Splunk, vous invite chez Cisco à Paris pour un événement dédié à l'observabilité, avec les équipes Splunk & Cisco. Au programme : Observabilité assistée par l'IA Stratégies de données intégrées OpenTelemetry simplifié De la donnée à l'action, avec des cas concrets et démos live Observabilité pour l'IA et par l'IA.
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By Splunk
Apps create endless opportunities to leverage the strengths of the Splunk Cloud platform. Until now, you could only install Splunk apps across every search head on a Splunk Cloud Platform Victoria Experience deployment. With TAI you now have fine-grained control over which search head groups will run which apps.
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By Splunk
In this technical session, discover how Splunk Database Monitoring detects slow queries, speeds root cause analysis, and drives faster fixes with AI assistance. You will learn how to.
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By Splunk
Why pay for continuous ingestion of data you rarely use? Learn how to maintain a lean data strategy by keeping long-term logs in cheap S3 storage, while retaining the power to "promote" specific slices into Splunk whenever an audit or investigation arises. See how Promote for Amazon S3 gives you the speed of local indexing without sacrificing speed in investigations.
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By Splunk
Discover why real-time, unsampled observability is critical for Kubernetes environments with Stephane Estevez from Splunk at KubeCon Europe 2026. Learn how Splunk’s unique approach helps you catch every important moment—even when containers vanish in milliseconds. Watch now for expert insights on cloud-native monitoring, observability, and Kubernetes best practices!
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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
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
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
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
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
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.