Artificial intelligence for IT Operations (AIOps) still sounds like something from the future to a lot of IT professionals. Maybe you’ve heard about the benefits but don’t think your organization is ready. In these three short, informative videos, Kia Behnia, Vice President of IT Operations, addresses three key questions IT pros still have when it comes to AIOps.

In a recent post by the Splunk Threat Research team, we addressed permanent and temporary token/credential abuse in AWS and how to mitigate credential exposure. With 94% of Enterprises using a cloud service, and some using at least five different cloud platforms, it’s imperative to stay ahead of threats across multicloud environments. Let’s now turn our attention to Google Cloud Platform (GCP) and how to detect and mitigate OAuth Token Abuse.

We are excited to announce the preview of the Splunk extension for AWS Lambda, a new way to integrate monitoring and observability in Lambda environments. Splunk is already the pioneer in providing real-time observability into serverless environments. With the Splunk extension, capturing and ingesting observability data become seamless without the need to instrument function code.

Some of you may have attended the recent webinar on how to simplify ticket remediation with ML-Powered Analysis. We’re thrilled to announce that we have packaged the new app shown in that demo – the Smart Ticket Insights App for Splunk – and it is now live on Splunkbase!

We just got some great news. IDC has ranked Splunk #1 for both market share and market revenue in their IDC Worldwide IT Operations Analytics Software Market Shares, 2019 report. This is the sixth year in a row IDC has ranked Splunk as #1 in ITOA. While we’re proud of this recognition, let me say right away that our success is due to the continued success of our customers, and we’re very grateful for the opportunity to be a part of it.

I’m excited to announce the launch of a new series of apps on Splunkbase: MLTK Smart Workflows. These apps are domain-specific workflows, built around specific use cases, that can be used to help you develop a set of machine learning models with your data. In this blog post, I’d like to take you through the process we adopted for developing the workflows.

While working with customers over the years, I've noticed a pattern with questions they have around operationalizing machine learning: “How can I use Machine Learning (ML) for threat detection with my data?”, “What are the best practices around model re-training and updates?”, and “Am I going to need to hire a data scientist to support this workflow in my security operations center (SOC)?” Well, we are excited to announce that the SplunkWorks team launched a new add-

We’ve seen quite a bit of change this year as businesses have had to pivot to accelerating their digital transformation strategy, and placing even more emphasis on leveraging technology as a competitive differentiator. Most have continued to stress the importance of maintaining excellent customer relationships through their contact centers, but the playing field has changed as they now have to tap into data for insights that may have normally been gleaned through an analog approach.

Have you ever had to saw through a board by hand? I had to finish a partial cut by hand the other day while building a new mantle for my fireplace. It’s slow and difficult, and it often results in a lesser quality cut than one done with a power tool. It’s good exercise, though! We should all have to do it at least once so we appreciate our power tools more.