BigQuery’s pipe syntax introduces an intuitive, top-down syntax for understanding data transformations, and is used in Cloud Logging Log Analytics.

Azure monitoring involves tracking and analyzing the health and performance of your cloud infrastructure hosted on Microsoft Azure. It involves gaining real-time insights into the performance of Azure resources, such as virtual machines, databases, and applications, enabling you to identify and resolve issues before they impact your operations. With a plethora of options available in the market, choosing the right Azure monitoring software can be a daunting task.

Engineering teams face numerous challenges as they navigate the complexities of modern infrastructure and deployment. From managing multiple environments to reducing feedback loops and mitigating manual errors, engineering leaders are under constant pressure to improve operational efficiency and accelerate product delivery.

Data fabrics are cohesive data layers that bridge data sources with data consumers, including analytics platforms such as SIEMs. They automate tasks like data ingestion, integration, and curation across diverse data sources, improving the agility and responsiveness of data ecosystems. More specifically, a security data fabric adds additional capabilities, including governance and compliance, security enrichment, and the integration of security events.

Global outages and disruptions have become an inevitable reality for the modern enterprise. As digital dependencies deepen, organizations must effectively manage disruptions or risk damage to their customer experience, brand reputation, and bottom line. Today, we’re thrilled to unveil the latest innovations for the PagerDuty Operations Cloud.

On July 19th, a widespread technical failure crippled operations across industries, resulting in lost revenue, wasted operating costs, and damaged customer trust. For businesses that had built trust by providing reliable and resilient services, this had both an immediate and a lasting impact.

IT incident management focuses on quickly identifying and resolving IT issues to restore normal service operations. Tracking key performance indicators (KPIs) of incident response is vital in minimizing service disruptions affecting customers and users. With so much data and many things to track, it’s difficult to identify which metrics and KPIs are right to track. What are the right incident response metrics to use to drive meaningful improvements?

While not every organization will opt for a private cloud, those who do must navigate a challenging market with numerous options. But what exactly are private cloud providers? How do they differ from other options, like public or hybrid cloud models? Understanding these distinctions is essential for selecting a provider that meets your organization's specific needs and strategic goals. Let's explore how the private cloud works, the features it provides, and what to look for when choosing a provider.

Real user monitoring (RUM) began as a straightforward approach to tracking basic web performance metrics. Focused on things like page load times and response rates, RUM relied on server-side logging and simple browser timings. While these tools captured Core Web Vitals (CWVs), they offered limited insights into how users actually interacted with pages, focused mainly on server-side performance.

Logs are the notetakers for your Java application. In a meeting, you might take notes so that you can remember important details later. Your Java logs do the same thing for your application. They document important information about the application’s ability to function and problems that keep it from working as intended. Logs give you information to help fix coding errors, but they also give your end users information that helps them monitor performance and security.