Operations | Monitoring | ITSM | DevOps | Cloud

Artificial Intelligence (AI) is revolutionizing businesses across industries. From personalized customer experiences to predictive analytics and process automation, there are hardly any sectors untouched by AI's impact. Its applications in data management aren't left behind. In fact, AI has the potential to transform traditional data management practices.

Tech is entering another wave of innovation with AI. With accelerated innovation comes increased complexity in already disparate environments. For Defense, those complexities are compounded by the need to maintain and operate mission critical infrastructure with highly sensitive data in air-gapped environments, often running on custom digital systems and applications. Accelerating the speed of innovation with leading technology is key for the military to maintain its competitive edge.

For observability adoption to scale, you must eliminate the bottlenecks. A self-service approach is the only sustainable model, enabling all teams–not just a select few–to access, implement, and scale observability easily. But making the shift requires more than access: you have to design for it.

The 2025-26 Australian Federal Budget sets out a clear priority: building a stronger economy and a more resilient nation. That includes investment in critical infrastructure, skills and services to help Australians navigate ongoing uncertainty. More than $3 billion has been committed to upgrade the National Broadband Network (NBN), extending high-speed fibre to 95% of homes and businesses.

Like the sailor in Coleridge’s “The Rime of the Ancient Mariner,” surrounded by ocean water that he cannot drink, modern organizations contend with similar challenges: data is all around, but it’s not doing them much good (or as much as it could at least). Exploding data volumes have complicated the data management strategies for security and observability teams seeking to contain costs while meeting regulatory and compliance obligations.

Effectively managing events and alerts is essential for preventing or quickly resolving incidents, whether it’s a sudden service outage or an ongoing cyberattack. The three terms — events, alerts, incidents — are different but they are closely related. Read on to learn more. Ensuring the reliability, performance, and efficiency of IT systems is both the heart of operational excellence and an important strategic objective for digital organizations.

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.