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Introducing Splunk Real User Monitoring (RUM)

A few days ago, I tried ordering lunch from a local restaurant. I went online, spent time looking at their menu, chose a few items, clicked “submit” and… got an error message. This experience is not unique. Earlier this week, when I tried to read the news, I got a message saying they’re experiencing a technical issue. You can see both messages below: We’ve all experienced such situations, and they can be very frustrating.

Introducing the Splunk Observability Suite

Today is an exciting day for Splunk! In just 12 months since the acquisition of SignalFx and Omnition, our vision of a fully integrated Observability Suite is now a reality! As IT and DevOps teams strive to keep up with ever changing business requirements and deliver flawless customer experiences, we’re seeing the pace of digital and cloud initiatives accelerate.

Splunk Log Observer: Fast and Powerful Log Investigation for DevOps Teams

When it comes to DevOps, Splunk has a lot to say at .conf20. There’s a lot to digest from new product names to introducing new products to create a complete observability experience. We announced the Splunk Observability Suite, which creates a seamless workflow across monitoring, investigation and troubleshooting tasks. We also extended our portfolio with Splunk Real User Monitoring, which provides front end engineers better insights into performance.

Announcing Native OpenTelemetry Support in Splunk APM

At Splunk, we've been leading the way in observability and helping accelerate the adoption of the OpenTelemetry project. With the trace specification reaching a stable maturity level and several SignalFx Gateway and client library capabilities being upstreamed, we're ready to go all-in while we continue accelerating the growth and adoption of OpenTelemetry beyond the commitments we made last year.

What's New in Splunk Cloud: Part 1

Every business transformation needs a data strategy and the ability to manage increasingly complex environments. And while companies all over the globe are embracing the cloud, this shift has only exacerbated the associated complexity, compounded by the uncertainty brought about by the current global pandemic. You’ve got more data centers and attack surfaces to monitor and secure, in addition to greater unpredictability and risk.

Integrating TA-Nix with Splunk App for Infrastructure

Previous articles in our series have introduced the Splunk App for Infrastructure (SAI) and provided getting-started guidance for Linux and Windows using native metric-collection tools such as collectd and perfmon. But did you know you can also use your existing Splunk Universal Forwarders (UF’s), together with the Splunk Add-on for Unix and Linux (TA-Nix) to send both the metrics and logs without the need of additional agents?

Your Top 3 AIOps Questions Answered

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.

Detecting Google Cloud Platform OAuth Token Abuse Using Splunk

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.

Introducing Splunk Extension for AWS Lambda

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.