A typical bit of feedback I have had during my time at Splunk is that the Splunk Machine Learning Toolkit (MLTK) looks nice and all, but how are we supposed to get started using it? Choosing the right technique, let alone the right algorithm can be a daunting task for those who are unfamiliar with machine learning (ML). We’ve been thinking long and hard about how we can help offer more prescriptive introductions into using ML at Splunk and I’m pleased to present our set of MLTK deep dives.

Synthetic monitoring can be one of the most powerful tools in your DevOps team’s toolkit, especially for the SRE, yet is one that is often overlooked by people building out a reliability mindset. Synthetic monitoring permits you to simulate any transaction or interaction users can have in your website or app, from places around the world, as often as you’d like.

The question isn't whether an incident will happen: it's when it will happen. Systems will crash. Software will fail. Vendors will suffer an outage of their own. It's your job to be prepared for these problems, and incident severity levels are one of the tools you need. Incidents have varying impacts on your business and customers. Incident severity levels are how you classify their impact and manage your response.

It's always interesting to hear what feature requests dashboard users share with our product team. Sometimes it's big things — such as being able to set tokens on drilldowns — and sometimes it's little things. In Splunk Cloud Platform 9.0.2208, we've included a handful of Dashboard Studio "little things" updates.

Splunk Mobile puts the power of Splunk in your hands. But with great power, comes great responsibility. That’s why this year with the release of Splunk Enterprise 9.0, we’ve shipped Splunk Secure Gateway (the backend service that powers Splunk Mobile) with even more features and tools to help you responsibly manage your mobile fleet.

We're excited to announce that starting with the new Splunk Cloud Product 9.0.2205 release, it's easier to create, manage and use private apps. Although Splunk is great by itself, we can all agree that the real value of Splunk comes from all the applications that Developers, SplunkTrust folks and Splunkers build.

Most classical, batch-oriented machine learning systems follow the paradigm of “fit and apply”. In an earlier blog post, I discussed a few patterns on how to better organize data pipelines and machine learning workflows in Splunk. In this blog, we’ll review how you can organize your machine learning model in a new way: online learning.

Splunk embodies the top 5 principles of unified security and observability, and has been an expert in log management, security, and observability for years.

I'm excited to announce that Splunk Data Manager now supports onboarding of Google Cloud Platform (GCP) data sources, effective immediately. With this launch, you can now get the benefits of Splunk data analysis for the high-value events generated by Google Cloud when you onboard GCP data sources into Splunk using Data Manager.

Hot summer days mean beautiful weather for picnics, pool days, and trips with the family. While you’re out this summer enjoying the sun, leave your laptop and backpack behind, because with Splunk Mobile, you’ll always be ready to access dashboards or receive alerts no matter where you are. The new features announced this year at.conf22 let you do even more from the comfort of your pool chaise!

Amazon Web Services (AWS) recently announced the ability to publish VPC Flow Logs directly to Amazon Kinesis Data Firehose. For Splunk customers, this feature helps to optimize the architecture to send VPC Flow Logs directly to Splunk Enterprise or Splunk Cloud Platform. With a fully managed service like Amazon Kinesis Data Firehose, users don’t have to worry about scaling, and can optionally transform their data in near real-time and enjoy the cost-effective, reliable service.

How are you tracking the long-term operation and health indicators for your micro and macro services? Service Level Indicators (SLIs) and Service Level Objectives (SLOs) are prized (but sometimes “aspirational”) metrics for DevOps teams and ITOps analysts. Today we’ll see how we can leverage SignalFlow to put some SLOs Error Budget tracking together (or easily spin up same with Terraform)!

The 1.7 release of the Splunk App for Content Packs comes with a slew of new awesomeness for the Content Pack for ITSI Monitoring and Alerting designed to bolster your IT operations team’s visibility and AIOps posture! Previous versions of the content pack focused on making it easy for you to create and group Notable Events from ITSI Services and third-party monitoring tools.

Every day, dashboards are viewed more than 500,000 times at Splunk. They’re what make the sea of data intelligible and help tell a story when working with a team. However, constant net-new dashboard creation is not necessarily a value-add activity — it’s a workflow to rapidly turn data into doing.