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Hospital Discharge Best Practices

Establishing an effective hospital discharge process is a crucial part of a patient’s stay and can significantly impact the success of their recovery. Patients, families, and subsequent care providers require a detailed education on continued treatment, aftercare processes, and required medications, to avoid any complications that may surface during recovery.

How to use the Grafana Faro Web SDK with Grafana Cloud Frontend Observability to gain additional app insights

Frontend observability (or real user monitoring) is a critical, yet often overlooked, part of systems monitoring. Website and mobile app frontends are just as complex, if not more so, than the backend systems observability teams typically prioritize. They also represent the first interaction users have with our applications — so it’s important to have full visibility into that experience.

Simplify Azure Monitoring with Logz.io's New Azure-Native Integration

If you’re looking to monitor Microsoft Azure infrastructure with Logz.io, we’re now making it easier than ever with our new Azure-native integration Typically, collecting infrastructure metrics from Azure involves installing and configuring data collection components on your system, such as Prometheus, Telegraph, or a number of proprietary agents that are specific to different vendors.

Understanding Kubernetes Network Policies

Kubernetes has emerged as the gold standard in container orchestration. As with any intricate system, there are many nuances and challenges associated with Kubernetes. Understanding how networking works, especially regarding network policies, is crucial for your containerized applications' security, functionality, and efficiency. Let’s demystify the world of Kubernetes network policies.

Special report: Putting GenAI to work in the enterprise

Generative AI (GenAI) is on track to be the most powerful technology of our time. As such, it’s created quite a buzz. “Generative AI has awakened people's imagination for AI,” explains ServiceNow Chief Information Officer Chris Bedi. “AI has been around for a long time. People use machine learning models, but they couldn't feel and touch it like generative AI.

Do you have a Cloud Exit Strategy?

In the modern digital age, the allure of cloud computing has been nothing short of mesmerizing. From startups to global enterprises, businesses have been swiftly drawn to the promise of scalability, flexibility, and the potential for reduced capital expenditure that cloud platforms like Azure offer. Considering the diverse Azure VM types and the attractive Azure VMs sizes, it’s easy to understand the appeal.

Grafana Loki 2.9 release: TSDB volume endpoints, remote rule evaluations, LogQL optimizations

The Loki squad is excited to announce Grafana Loki 2.9 is here! For this release, we’ve developed additional TSDB endpoints to help you better understand your log volume; introduced query language optimizations to make parsing more performant; and restructured our documentation so it is easier to use. This coincides with the release of Grafana Enterprise Logs (GEL) 1.8, so all the features discussed here are available in both Loki 2.9 and GEL 1.8.

Resolve Automation Capabilities Framework: From Tactical to Strategic End-to-end Automation

All business eyes seem to be focused on the current challenges of an unsteady economic environment, and organizational leaders are working to figure out the best plan to overcome them. Leaders have their own collection of key initiatives as no two companies are the same. Most commonly; however, they want to double capacity and productivity, cut costs, enhance customer experiences, and future-proof their organizations.

What's going on with the Developer Productivity debate?

Every so often, somebody in the tech industry proposes a new way to quantify software engineers’ productivity. Most recently, a leading consulting firm published a report that has reignited a recurring debate—is it even possible to effectively measure developer productivity, and if so, how? Whereas functions like sales and support have had rigorous metrics for years, software engineering has long been the exception.