Operations | Monitoring | ITSM | DevOps | Cloud

Cloud computing promised speed, scale, and freedom. And it delivered. Engineers can deploy in seconds. Teams can scale globally overnight. But somewhere between all that freedom and speed, control got blurry. Resources piled up. Budgets ballooned. And suddenly, no one could answer the simple question: What are we paying for and why? Cloud resource management is how we reclaim that control, without slowing down.

On March 2, 2025, Firefly Aerospace made history. The company — a space services firm that offers safe, reliable, and economical access to space — completed the first fully successful lunar landing by a commercial provider with its Blue Ghost Mission 1. But behind the headlines and highlight reels was a team of dedicated engineers, years of preparation, and a mission control center outfitted with Grafana dashboards.

Log volume is exploding, costs are rising, and most teams are stuck duct-taping together short-term fixes. During our webinar, "Optimizing Log Management in Datadog: Cut Costs Without Losing Insights," we discuss how DevOps and engineering leaders are navigating the growing pains of observability, especially in environments where tools like Datadog are mission-critical but challenging to manage. Here’s a recap of the key takeaways.

Get superior performance for your business collaboration with Cisco Webex Edge Connect, now available on Megaport Voice and Video Exchange (VVx). In distributed workplaces, the difference between productive collaboration and frustrating delays comes down to one critical factor: connection quality. When meetings matter, whether they’re daily standups or critical client presentations, the underlying network performance directly determines success.

Contact centers handle thousands of customer interactions daily. Each call, chat, or email carries the weight of customer satisfaction, loyalty, and even compliance. Each interaction across channels can play a decisive role in increasing your CSAT or churn rate. Organizations recognize that superior CX has become a fundamental driver of loyalty, retention, and, ultimately, profitability.

Migrating to a new logging platform can be a complex operation, especially when it involves both active and historical logs. Observability Pipelines offers dual-shipping capability, making it easy to route active logs to your new platform without disrupting your log management workflows. But migrating years worth of historical logs—which are critical for investigating security incidents and demonstrating compliance with applicable laws—requires a different approach.

Technology assets are no longer confined to the walls of a traditional data center. They now span a range of environments from core facilities and labs to distributed sites like IDF closets, manufacturing sites, and retail branches. Yet many organizations still rely on fragmented tools and manual processes to manage these distributed environments. This can result in gaps in visibility, inconsistent documentation, and higher operational risk.

In a really broad sense, the history of observability tools over the past couple of decades have been about a pretty simple concept: how do we make terabytes of heterogeneous telemetry data comprehensible to human beings? New Relic did this for the Rails revolution, Datadog did it for the rise of AWS, and Honeycomb led the way for OpenTelemetry.

In this article, we’ll show you how different stakeholders interact with the Service Catalog in Alloy Navigator: employees, IT staff, and managers.

Pulling observability data together is rarely clean. Metrics come from everywhere, formats vary, and making sense of it takes some work. OpenTelemetry Collector and Prometheus fit perfectly here. The Collector handles ingestion and processing from different sources, while Prometheus stores and queries the data. Simple, effective, and no vendor lock-in. In this blog, we cover how to integrate the Collector with Prometheus, common pitfalls, and ways to control costs.