Pi-hole is a fantastic open-source DNS-based ad blocker that enhances your online experience by blocking unwanted ads and trackers network-wide. Monitoring the performance and status of your Pi-hole setup is essential to ensure its effectiveness. Next, we'll explore how to use a Prometheus exporter to expose metrics from Pi-hole and have the OpenTelemetry collector scrape the metrics and send them to Splunk Observability Cloud.

ChatGPT and other LLMs have become so accessible that even our grandmas know about AI. But what’s really happening beyond the hype? Recently, I sat down with IT and security leaders Cory Minton and Kirsty Paine to share the inside scoop on how we’re thinking about AI here at Splunk. Watch the replay of our conversation here.

Cloud-based services have changed how individuals and businesses get things done. That doesn’t mean it’s all positive — there are some tradeoffs and compromises that come with cloud services and the internet. One major tradeoff is speed. For instance, if your website fails to load within three seconds, 40% of your visitors will abandon your site. That’s a serious dent for anyone doing business online. The culprit here is latency.

Cyber-Physical Systems refer to a system that models, automates and controls the mechanism of a physical system in a digital environment. This is an area of significant growth: the global market for Cyber-Physical Systems (CPS) is expected to grow from around $87 billion in 2022 to over $137 billion by the year 2028 at a CAGR of 7.9%. So, what exactly are cyber-physical systems? Let’s take a look.

Traditional monitoring methods become inefficient as organizations shift from legacy software systems to complex cloud-native architectures. This transition renders these methods less effective, as they no longer provide the critical insights needed. In response, observability engineering has emerged as an important discipline, offering a more comprehensive understanding of modern software systems. This article will take you through the definition, importance, and processes of observability engineering.

Fault incidents are inevitable. They occur in any large-scale enterprise IT environment, especially when: In fact, research indicates, more than half (50%) the leaders in tech and business organizations consider the complexity of their data architecture a significant pain point. From an end-user perspective, businesses must overcome complex architecture in order to ensure service delivery and continuity.

Engineering and ITOps teams have an important mission: keeping their software and digital systems performing and reliable. But as we’re about to embrace a new year full of changes, industry shifts, and AI developments, this mission is challenged by increasingly complex environments, technology alternatives, and an overwhelming number of tools available. The result? Overages, tool sprawl, and toil, which all lead to longer times to detect and resolve issues.

The manufacturing industry is at a crossroads. With automation and emerging technologies like AI, organizations are eager to make operational and production processes more efficient. However, for many manufacturers, the rapid pace of digitizing legacy infrastructure and systems has also exposed many unanticipated hurdles, with one of the biggest being the convergence between IT and operational technology (OT).