Are you a Splunk Cloud admin tired of sifting through various tools and dashboards to monitor the health of your Splunk Cloud deployment? Do you often find yourself wondering what actions you can take to keep your Splunk Cloud deployment running smoothly? Are you looking for ways to be alerted before something impacts your deployment performance? Look no further than the Cloud Monitoring Console's Health Dashboard!

There is a lot of confusion surrounding the terms "data science" and "data analytics." Some people use them interchangeably, others see them as completely different concepts. In this blog post, we'll demystify the differences between these two terms. We will start by defining each term, followed by the key differences between them, similarities, roles each of them support, as well as uses cases. Read on for a detailed comparison!

Log data is big data! But that’s not why it’s such a big deal. Log data can be really useful if you know what to do with it — which is where log analysis and analytics comes in. Let’s take a look at this valuable activity, starting with what log data can tell us and moving into how we can use analytics to inform business practices. (This article was written in collaboration with Muhammad Raza.)

The question is: are you full prepared to adapt to what may come…cyber incident, recession, severe weather? With unexpected events like a global pandemic, businesses see the need to improve their resilience against digital disruptions. That’s because disruption is a certainty — and resilience has a strong ROI. Digital resilience helps businesses respond successfully to these kinds of unexpected events.

If just hearing “Data Governance” fills you with dread, confusion or boredom — then you’re doing it wrong. It’s probably your business’ most undervalued area. And, with the right mindset (plus a read through our new eBook), a good data governance programme can transform your organisational approach to data and unlock its value. Stop looking at data governance as a compliance burden. Reimagine this obligation as a catalyst for change instead.

Data streaming is the backbone of so many technologies we rely on daily. Endless data sources that generate continuous data streams. Dashboards, logs and even streaming music to power our days. Data streaming has become critical for organizations to get important business insights — when you can get more data from more data sources, you might have better information to run your business. This article explains data streaming, including: Let’s get started!

AI is no longer optional for most businesses — and it’s far from a differentiating factor. In fact, researchers found that over 95% of companies have AI initiatives underway. To get ahead of the competition, leaders need to: Adaptive artificial intelligence (AI) is the next generation of AI systems. It has the ability to adjust its code for real-world changes, even when the coders didn’t know or anticipate these changes when they wrote the code.

Upon its release in November 2022, ChatGPT stunned Silicon Valley and the world. OpenAI, a small company based in San Francisco, introduced a chatbot that mimics complex emotions, writes code and answers complex questions. Technology considered a decade away was now at everyone’s fingertips and quickly became the fastest-growing app in history. Just four months later, OpenAI launched a significant update, ChatGPT-4, and the results of this new technology are fascinating.

Want to build websites and apps in a way that’s both easier and cheaper? Well, it’s possible even for major organizations and international companies. In this article, let’s take a look at how serverless architecture and computing is changing the game for software developers. We’ll start at the very beginning and walk through how serverless works, how we got this far, and the pros & cons of this approach.

Platform engineering is the practice of automating infrastructure operations and enabling self-service infrastructure capabilities within collaborative Dev, Ops and QA teams. It involves designing and building platforms, technologies and workflows that enable self-service capabilities to automatically manage, provision and operate complex modern software architecture environments.