Operations | Monitoring | ITSM | DevOps | Cloud

The 2025 Gartner Market Guide for Event Intelligence Solutions reflects a shift in how IT operations leaders evaluate AI-driven technologies. As AI hype gives way to more practical evaluation, we are seeing a natural departure from broad promises about AI capabilities toward clearly defined use cases and outcomes.

SD-WAN with Megaport SDCI is now generally available. Here’s how you can use them to optimize your network’s middle mile. Building on our successful collaboration with Cisco Catalyst SD-WAN (formerly Viptela) and Cisco Secure Firewall Threat Defense Virtual, Megaport is thrilled to announce the general availability of our integration with Cisco Meraki.

S3 object storage is a popular storage for businesses and enterprise who need rapid access to data, and large amounts of storage not available with traditional file storage. If you’re interested in learning more about S3, we cover how the S3 protocol works, services offering object storage, and how they can meet your use case.

As Event Intelligence Solutions (EIS) move from early adoption to operational necessity, many enterprises are realizing that success depends on more than selecting the right technology. For Banking and Financial Services organizations, effective adoption requires a clear strategy, disciplined execution and a strong alignment to business priorities and regulatory demands and not least, customer expectations.

Microsoft has announced the General Availability (GA) of SQL Server 2025 on Ubuntu 24.04 LTS, starting with the CU1 release. This milestone allows enterprises to deploy mission-critical workloads on our latest Long Term Support release, benefiting from predictable stability and up-to-date kernels.

Enterprises have spent the last decade investing heavily in visibility tools to understand where their assets are and how they move across locations. While this approach has improved basic control, it has also revealed a larger gap. Knowing where assets are does not automatically explain how well they perform, how effectively they are used, or whether they contribute real business value. This is where asset intelligence becomes critical.

For most of the last decade, the direction of cloud strategy was clear: standardize, consolidate, and reduce sprawl. Engineering teams worked to pick a primary cloud, reduce vendor dependencies, and simplify their stacks. FinOps teams unwound years of fragmentation. Platform teams built guardrails to make sure it didn’t happen again. Then AI arrived, and it’s a fundamentally different class of workload. AI demands specialized hardware and, increasingly, diverging providers.