Operations | Monitoring | ITSM | DevOps | Cloud

Splunk Named a Leader in the Gartner Magic Quadrant for Observability Platforms

"Transformative Solution" says a Director of IT in a $30B+ retailer. "Best Monitoring and Observability Tool > Splunk," is how a software engineer in a software company labels it. These are only a couple of the terms our customers use when describing the value they are getting from Splunk. With these descriptions in mind, we are elated that Splunk has been named a Leader in the 2024 Gartner Magic Quadrant for Observability Platforms for the second year in a row in this category.

Introduction to K8s Horizontal Pod Autoscaling | Monitor Autoscaling in Splunk Observability Cloud

In this video, I’m going to introduce you to Horizontal Pod Autoscaling in Kubernetes and monitoring autoscaling events in Splunk Observability Cloud. I’ll first walk through our simple application deployment definition. We will analyze the metrics of that application in Splunk Observability cloud, identifying that the application is under resource pressure. I’ll then discuss the scaling options at our disposal, and we will walk through an implementation of a Horizontal Pod Autoscaler that will automatically scale our pods according to the load they are receiving.

An Overview of the OpenTelemetry Collector's Configuration File

In this video, I’ll provide an overview of the OpenTelemetry Collector’s configuration file (config.yaml) with examples from the Splunk distribution. I will briefly explain the components of the Splunk OTel Collector, and walk you through a sample generic configuration of the OTel Collector. We’ll then use the Splunk Observability Cloud interface to construct the commands needed to install the Splunk OTel Collector on a specific host. This installation will copy a default Splunk OTel Collector configuration onto the host, and we’ll review the Splunk specific components of this configuration.

Unlock the Value of Cloud: Introducing Splunk Cloud Value Calculator

In the rapidly evolving digital landscape, organizations are increasingly turning to the cloud powered with AI capabilities to enhance efficiency, scalability and innovation. Splunk, a leader in security and data observability, has been at the forefront of this transformation.

Setting up and Understanding OpenTelemetry Collector Pipelines Through Visualization

Observability provides many business benefits, but comes with costs as well. Once the (not-insignificant) work of picking a platform, taking an inventory of your applications and infrastructure, and getting buyin from leadership (both from the business and engineering sides of the house) is done, you then have to actually instrument your applications to emit data, and build the data pipeline that sends that data to your observability system.

Install The Splunk Distribution of OTel Collector in K8s with Helm

In this video, I’ll show you how to install the Splunk Distribution of the OTel Collector using a Helm Chart. We’ll walk through constructing the necessary Helm commands using the K8s Integration Wizard in Splunk Observability Cloud, and then deploy the collector to a cluster. We’ll then verify that the cluster and its services are being monitored in Observability Cloud’s Kubernetes Navigators, and then briefly walk through the values.yaml file of the Helm chart as well as the Otel Collector’s configuration.

Chaos Testing Explained

Chaos testing is a part of site reliability engineering (SRE). In chaos testing, we intentionally break things in and around a given application, in order to: The purpose of chaos testing is to assess how software systems respond to scenarios like network outages, hardware failures, database failures, and server or cluster node failures in the infrastructure.