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The latest News and Information on Cloud monitoring, security and related technologies.

Cloud-Powered Content Creation for YouTube Success

In today's business environment, video has moved well beyond its role as a supplementary marketing asset. For a growing number of organizations, YouTube now functions as a primary channel for audience engagement, brand development, and lead generation. As the platform has matured, demands on production quality, output frequency, and cross-team coordination have grown in parallel, and traditional, hardware-intensive workflows are increasingly struggling to keep pace. The shift toward cloud-based Software-as-a-Service (SaaS) solutions reflects something deeper than a passing trend.

Cloud Security Best Practices Every Company Should Follow

Cloud adoption has accelerated dramatically over the past few years - and with it, so has the attack surface for cybercriminals. Whether you're a five-person startup or a 500-employee enterprise, moving your operations to the cloud without a solid security strategy is one of the most expensive mistakes you can make right now.

Fixing Broken Traces in GCP Cloud Run: A Custom OpenTelemetry Propagator

GCP's load balancer silently rewrites your traceparent header, orphaning spans in any OTLP backend. Here's the custom propagator that fixes it. Prathamesh works as an evangelist at Last9, runs SRE stories - where SRE and DevOps folks share their stories, and maintains o11y.wiki - a glossary of all terms related to observability.

Kubex Named a 2026 Leader by GigaOm

Industry analyst recognition means something different from an award. GigaOm does not hand out trophies. They evaluate products against a defined capability framework and tell the market where vendors actually stand. By that measure, Kubex has been named a Leader in two of GigaOm’s 2026 Radar Reports: Kubernetes Resource Management and Cloud Resource Optimization. In the Kubernetes report, we are positioned as an Outperformer. In Cloud Resource Optimization, a Fast Mover.

How is Agentic AI fundamentally different from earlier automation?

Autonomous operations has been the goal for years. But most “automation” never got us there—it just helped teams keep up. Now that’s changing. Agentic AI introduces a fundamentally different model:– Purpose-built agents, not static workflows– Real-time decisioning, not predefined rules– Collaboration across agents, not isolated tasks Instead of automating steps, agentic AI enables systems to **reason, adapt, and act**—at a speed and scale humans simply can’t match. That’s what turns autonomous operations from a long-standing ambition into something actually achievable.