Operations | Monitoring | ITSM | DevOps | Cloud

Awareness of data sovereignty is increasing within organizations. Geo-political situations and recent news stories are causing many to formally evaluate their data management strategies and policies. This means that organizations are also looking at the tools and platforms they use to run and maintain key IT infrastructure and undertake tasks such as monitoring and management. SaaS and cloud first/only tooling can often present data sovereignty challenges and complications.

As companies shift towards a digital first strategy and enterprise architectures become more complex to support it, the demands on IT operations platforms have evolved significantly. Today’s global enterprises, system integrators (GSIs), and managed service providers (MSPs) require more than traditional observability tools. They need scalable, intelligent platforms that can manage sprawling environments with consistency, speed, and precision.

Data centres often hold the fluorinated gas (f-gas) HFC-227ea, traded under the name FM-200, as an emergency measure to stop fires in data halls and technical space without harming electrical equipment. Robust fire prevention helps avoid devastating human, operational, financial, and environmental consequences, but there’s a problem with this particular gas – if released, it has an immense global warming potential.

Tame uncontrolled cloud growth and regain control of your infrastructure. Learn the causes of cloud sprawl, its impact on your budget and security, and strategies to build a more sustainable cloud environment.

Database monitoring transforms from a reactive troubleshooting exercise into a proactive optimization strategy when you have the right tools and approaches in place. This blog shares practical ways to choose monitoring solutions, set up observability for different database platforms, and design workflows that scale in modern distributed systems.

Comma-separated value (CSV) files are one of the simplest formats for structured data and remain widely used across industries. From machine exports to business reports, CSVs are easy to create, edit, and share. They serve as a backbone for data management, ensuring teams can exchange information quickly and consistently. However, CSVs alone are static. When ingested into a time series database, they shift from flat files to part of a living data pipeline.