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.

See how we help you thrive in the age of AI and build unprecedented digital resilience.

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.

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.

In our super connected world, the Communications and Media industry has a lot on the line. Your networks help people stay in touch, get around-the-clock care, and protect their nest eggs. Expectations are incredibly high. And reliability is a must. At Splunk, we help Communications and Media organizations build resilient digital systems.

Learn how Edge Processor helps you transform data at the edge so you can reduce noise, control costs, and ingest data in the exact shape that you need it.

Learn how Edge Processor helps you transform data at the edge so you can reduce noise, control costs, and ingest data in the exact shape that you need it.

Disruption in business is inevitable. In partnership with Oxford Economics, Splunk quantified the total cost of downtime for the Global 2000 to be $400 billion per year. But that’s only the tip of the iceberg. Our latest research revealed that hidden costs may deal an even larger economic blow to companies.

In financial services, resilience is imperative because your systems can’t fail - and you can’t afford to get hacked. Splunk shines a light on every aspect of your financial services business so you can fend off threats, create better customer experiences, and find new ways to maximize revenue.