Operations | Monitoring | ITSM | DevOps | Cloud

Google Cloud Platform (GCP) offers a wide range of features to support their core deliverable, highly available and scalable infrastructure-as-a-service. One of the features—GCP’s log management and available via GCP Log Explorer— is offered to support customers’ basic logging requirements.

In this tutorial, you’ll see how to deploy Solr on Kubernetes. You’ll also see how to use the Solr Operator to autoscale a SolrCloud cluster based on CPU with the help of the Horizontal Pod Autoscaler. Let’s get going! 🙂

Logs serve as an invaluable resource for monitoring system health, debugging issues, and maintaining security. But as our applications grow more complex, the volume of logs they generate is increasing exponentially. While logs are crucial, not all log data is equally valuable. With the surge in volume, costs associated with storing and analyzing logs are skyrocketing, impacting both performance and cost. The need for effective log management is more urgent than ever.

Adaptive thresholding is a key capability in Splunk IT Service Intelligence (ITSI) that enables customers to dynamically monitor the status of their key performance indicators (KPIs) and derive meaningful service insights and alerts.

Data warehouses and data lakes represent two of the leading solutions for enterprise data management in 2023. While data warehouses and data lakes may share some overlapping features and use cases, there are fundamental differences in the data management philosophies, design characteristics, and ideal use conditions for each of these technologies.

The ability to make decisions quickly can mean the difference between success and stagnation. Of course, quick decisions aren’t necessarily the right decisions. The right decisions are the best informed, and the best way to get informed is through data. That’s what operational intelligence is all about. In this article, we’re diving into all things operational intelligence (OI), including key benefits, goals and how to get started.

Disruptive cybersecurity incidents become more and more commonplace each day. Even if nothing is directly hacked, these incidents can harm your systems and networks. Navigating cybersecurity incidents is a constant challenge — the best way to stay ahead of the game is with effective incident management.

You may be familiar with manipulating tokens via `eval` or `condition`, or showing and hiding panels via `depends` in Classic (SimpleXML) dashboards, and wondering how to do that in Dashboard Studio. In this blog post, we'll break down how to accomplish these use cases in Dashboard Studio, using the same examples that were shown at.conf23.