Operations | Monitoring | ITSM | DevOps | Cloud

Do you remember Back to the Future Day? The day in 2015 when the world celebrated Marty McFly’s trip to a futuristic 2015 in the iconic movie? We laughed at the idea of hoverboards and self-tying shoes while marveling at how much of what was once science fiction was becoming real. Here’s the thing, though: the future never announces its arrival with a neon sign or a ringing bell. It just happens.

Picture this: Your marketing team just launched a major campaign, driving thousands of visitors to your website. The CEO is eagerly watching sales metrics, and your IT team has spent weeks optimizing the infrastructure. Then it happens — your website slows to a crawl. Cart abandonment spikes. Social media lights up with frustrated customers. And just like that, your big moment transforms into a costly nightmare. Sound familiar? You’re not alone.

Rust’s strong memory safety and efficient code execution make it a top choice for building robust, high-performance systems. But even with its powerful guarantees around memory management and thread safety, Rust applications in production environments can still face challenges such as latency spikes, resource contention, and unexpected bottlenecks. For this reason, monitoring Rust applications is essential to ensure they meet performance expectations and remain reliable under load.

DX Unified Infrastructure Management (DX UIM) from Broadcom is a cornerstone enterprise solution that can be employed for precise and powerful infrastructure monitoring. For many enterprises, DX UIM is central to their overall observability strategy. Over the years, ongoing enhancements to DX UIM have supported continual changes in modern enterprise environments and cemented the solution’s strong position as the single source of truth for all aspects of infrastructure monitoring.

Observability tools are crucial for maintaining the seamless performance and reliability of systems. Dynatrace has been one of the leading solutions for monitoring and observability over the past few years. However, there are many alternatives that provide similar features, often at more accessible price points and with unique capabilities. In this article, we will explore the best Dynatrace alternatives for 2025 to help you find the right fit for your organization.

As cloud technologies continue to evolve, so does the way we monitor and manage AWS environments. In 2025, AWS monitoring is shifting to accommodate the increasing complexity and scale of cloud infrastructures. From AI-driven tools that predict issues before they occur to enhanced observability features that improve performance, these trends are revolutionizing how organizations keep their AWS resources in check.

We consistently roll out helpful updates and fun features in Grafana Cloud, our fully managed observability platform powered by the open source Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). In case you missed them, here’s our monthly round-up (the first of 2025!) of the latest and greatest Grafana Cloud updates. You can also read about all the features we add to Grafana Cloud in our What’s New in Grafana Cloud documentation.

I’m so excited to share that Cribl recently surpassed $200 million in annual recurring revenue! This milestone and our rapid growth comes down to one thing: Solving real problems for our customers. The more our customers partner with us and use Cribl products to simplify their telemetry data management, the more our business grows and the more milestones we’ll hit together. Thank you to our fantastic customers and partners who have helped us reach this point in our journey!

In formal terms, OpenTelemetry is an open source framework used for instrumenting, generating, collecting, and exporting telemetry data for applications, services, and infrastructure. It provides vendor-neutral tools, SDKs and APIs for generating, collecting, and exporting telemetry data such as traces, metrics, and logs to any observability backend, including both open source and commercial tools.

Network operations have become increasingly complex due to the distributed nature of modern applications which use data from private data centers, public clouds and the internet to provide end user services. With the adoption of these multi-cloud, multi-tier application architectures, network engineers must integrate new services (e.g AWS Direct Connect and Kubernetes clusters) from cloud providers into their existing services.