Digital transformation is reshaping every aspect of our lives—from health to education to economic prosperity, and data is at the heart of it. At Splunk, we are bringing data to everything, enabling organizations worldwide to investigate, monitor, analyze and act on their data across IT, Security, and DevOps use cases. Through this digitization, we see customers accelerate their journey to the cloud for increased agility, reduced costs, and faster time-to-market.

We are excited to announce a strategic partnership with Google Cloud to bring real-time observability into Google Cloud Services and modern applications for our joint customers. Cloud has become essential to modernizing IT environments and enabling the digital initiatives of organizations large and small. Organizations undertake IT modernization – including cloud adoption – to accelerate innovation and increase operational efficiency while optimizing IT spend.

Welcome to the second installment of the Dashboards Beta blog series! I’m your host, Aditya Tammana, and today we have a very special guest – v0.5 of the Dashboards Beta app on Splunkbase!

As we connect with customers we increasingly hear the need for teams to be more predictive with their data. A big challenge is uncertainty around how to get started, especially when much of their data is unstructured. At Splunk, our goal is to make data — and machine learning — accessible for a broad range of users. The good news is, with machine learning doing even more work on your behalf, you don’t need to be a data scientist to use these advanced capabilities.

In a world full of threats targeting data as well as stringent compliance mandates, it’s never been more important to create a strong unified cloud security strategy. But as cloud environments become more complex and diverse, it’s also never been more difficult. Even if you’re partnering with a notably secure provider, it’s still important to understand your security responsibility and to be proactive about protecting your data in the cloud.

Is it week 6 or 8 of telework now? I can't keep up, and it's probably not worth counting anymore. By now, all agencies have a majority of their employees working remotely and adjusting to the new normal; and we, at Splunk, are as well. In a way — like our CIO, Steve McMahon, puts it — we did have an early start.

Many people are working from home (WFH) now and will be for at least the next few weeks. The VPN and TLS connections that remote workers rely on allow for secure access, and although these are not new connection types to monitor, the current WFH situation has created a significant increase in the number of these connections you must monitor. This new WFH scenario has made one thing easier: mobile users are no longer mobile.

As the responsibilities of the Security Operation Center (SOC) continue to increase, SOC teams are experiencing increased demand on their time and resources. Scaling a security team with little resources and funds can prove extremely difficult, especially when the incident response team spends most of their time chasing alerts.

Splunk is a tech company, which regularly gives us exposure to modern development practices, and the ability to implement them with our own technology. We want to share that with you. In this post, as part of a dogfooding series, I sat down with Ram Jothikumar, Head of Cloud Infrastructure & Operations for Observability at Splunk. Ram and I talk about how we support our SignalFx offering at scale, efficiently with resilience and reliability baked in.

It’s only taken me two years, but I’ve finally answered a question that I was asked by Derek King – “Can we use ML to detect botnets?” Thanks Derek, that was a pretty heavy question to be asked in your first week at Splunk, especially when you have no Splunk experience… You can judge the results here using the Botnet App for Splunk.