Operations | Monitoring | ITSM | DevOps | Cloud

Despite the nonstop warnings, millions of users still gamble with their data. A 2023 survey by Acronis revealed that 41% of people rarely or never back up their digital files, and businesses aren’t much better. Fewer than 20% of businesses back up their SaaS data, even though tools like Google Workspace and Microsoft 365 don’t guarantee full recovery after a loss or attack. The consequences?

The information age has leapt forward with the explosive rise of generative AI. Capabilities like natural language processing, image generation, and code automation are now mainstream — driving the business goals of winning customers, enhancing productivity, and reducing costs across every sector. New large language models are emerging almost daily, existing language models are optimized in a frantic race to the top. There seems no stopping the AI boom.

Over the past decade, businesses have realized that relying solely on their data centers has limitations. That’s why 38% of organizations turned to private clouds in 2024 to control their data. However, as the need for more flexibility and scalability grew, they started integrating public cloud services. In this article, we’ll explore hybrid cloud computing, what it is, how it works, and why it’s a hot future trend for businesses.

I was lucky enough to attend KubeCon Europe 2025 in London, where the energy around OpenTelemetry (OTel) reached fever pitch. From packed sessions to buzzing hallway conversations, it’s clear: OpenTelemetry isn’t just the future—it’s the present. Here’s what stole the spotlight.

Synthetic data is gaining attention as artificial intelligence (AI) continues to evolve. But what exactly is it, and why is it so important today? At a high level, synthetic data refers to data that's generated by algorithms or mathematical models. It is not data collected from the real world.

Can you ever get too much data? With modern architectures getting increasingly more complex with hundreds of microservices and containers, data volume grows at an exponential rate, and there’s no pause in sight. In this era of ever-expanding volume of telemetry, it’s nearly impossible to separate valuable data from noise, making things like root cause analysis or alerting needlessly more complicated, while putting pressure on the performance of your stack, your scalability and budget.

Splunk is excited to provide fine-grained authorization for Knowledge Objects starting with Saved Searches. Saved Searches are the most used Knowledge Object (KOs), and admins spend the most time delegating access to users for Saved Searches.

In a rapidly evolving business landscape, understanding and responding to customer needs is not just an advantage — it's a necessity. At Splunk, we've taken a bold step by applying a product manager mindset to our Customer Advisory Board (CAB) program, transforming it into a dynamic platform for both customers and our product teams.

You may be surprised that delivering observability is a journey and isn’t about observing everything at once — it’s about driving outcomes like proactive detection, faster troubleshooting, and aligning with business priorities. If you’ve followed this series, you’ve already taken steps to.

In Splunk Cloud Platform 9.3.2411, we’re excited to announce support for publish dashboards, the button input, as well as a number of small enhancements that will level up your dashboarding experience.