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Latest Videos

Under the Hood With Splunk Observability

Splunk Distinguished Architect Arijit Mukherji joins theCube’s John Furrier for a conversation about the value of having a holistic view of observability — and the right solutions — to help you achieve your business goals. Signs that your tool sprawl is becoming a big problem in dealing with the inherent complexities of modern IT environments Why full-fidelity ingest can be an observability superpower How real-time streaming analytics can improve MTTI and MTTR

Network Observability for Distributed Services

Mike Cohen, Splunk’s head of product management for network monitoring, joins theCube’s John Furrier for a conversation about how networks are an untapped source of data to help your organization achieve observability — and how to unlock that potential. Watch this segment of Leading With Observability on theCube to learn about addressing the gaps in your visibility, including: The ins and outs of monitoring metrics, distributed tracing and correlating logs with no management complexity

How Can Companies Integrate Ethical AI? | Splunk's Ram Sriharsha & Dr. Rumman Chowdhury

Organizations use AI to be more competitive, deliver better business outcomes and avoid falling behind. However, business leaders should know they pose their organizations’ serious risk if they do not comply with ethical standards. Leadership must enable teams to practice ethical business strategies, up-level talent strategy, and enable organizational resilience. Dr. Rumman Chowdhury and Ram Sriharsha, Head of Machine Learning at Splunk, discuss the challenges companies will face if they do not comply with ethical standards and how to solve for fairness and privacy.

The 7 Hues of DevOps

Purple teams. Blue, green, red, back, canary deploys. Golden signals and red metrics. There are oddly a lot of color adjectives used in DevOps terminology, and Dave and Chris cover them all in this episode. They will talk about the range of deployment strategies for modern applications. The various types of metrics used to monitor them, and the different approaches to understanding how much visibility is good enough.

Full-stack monitoring for code-to-cloud visibility

Engineering teams are very used to talking about their tech stack as the technologies and tools used to build their application. Monitoring also has a stack, and full-stack monitoring is when you align each layer of your tech stack with a monitoring practice and weave a thread from every layer. True code-to-cloud visibility is only accomplished with full-stack monitoring, and necessary for long-term DevOps success.

Cloud Strategy in the Data Age | Splunk's Andy Hershey and Evan Kirstel

In 2020, Coronavirus forced many companies to rapidly pivot to cloud-based solutions and remote work. Splunk’s Andy Hershey GVP, Cloud Sales & GTM Transformation, and B2B tech influencer and evangelist, Evan Kirstel, sit down to discuss how companies can optimize their cloud strategies in the Data Age. The pair discuss the challenges of the cloud journey, data-driven solutions, security concerns, and how leaders can effectively succeed in this new digital world.

Splunk SOAR Playbooks: Azure New User Census

Hafnium is the latest cyberattack that utilizes a number of post-exploitation tools after gaining access to Exchange servers through a zero-day exploit. One of their persistence methods was creating new user accounts in the domain, giving them the ability to log back into the network using normal authentication rather than use a web shell or continue to re-exploit the vulnerability (which has since been patched). Learn how you can use Splunk Phantom to automate account monitoring to ensure that threat actors are not exploiting vulnerabilities to access sensitive information through authenticated accounts.

Splunk Machine Learning Environments (SMLE) Labs Beta Demo

Check out a demo of SMLE Labs (beta). SMLE is a purpose-built environment, bringing the power of data science and machine learning to production workloads for our Splunk customers. We support a seamless end-to-end ML journey with development, deployment, monitoring, and management — eliminating disjointed solutions with a new, streamlined experience optimized for productivity.