It can be hard to figure out why response times are high in Java applications. In my experience, when engineers investigate this type of issue, they typically use one of two methods: They either apply a process of elimination to find a recent commit that might have caused the problem, or they use profiles of the system to look for the cause of value changes in relevant metrics.
Technical debt is the enemy of innovation. It restrains people, processes, and technology in a way that prohibits modernization. How do you decouple an organization from legacy technical debt and free up resources to tackle more important strategic efforts? Simply put, automation.
IT Operations is an ecosystem of technology, customers, users, and employees. Understanding the organizational, customer, and employee experience—and how to effectively monitor and manage that ecosystem—is foundational to adopting a Total Experience Framework in the modern enterprise.
Last winter, Flexcity — a market leader in electric flexibility — faced an unprecedented challenge: Help stabilize the French national power grid, in the midst of a widespread energy crisis that loomed over Europe. As a byproduct of the Russian invasion of Ukraine, energy prices in the EU soared in 2022. And France, meanwhile, faced a nuclear power outage that winter that threatened to significantly disrupt its energy supply and increase the risk of electricity shortages.
Of course, one expects an alerting solution to be reliable. This is important because a missed alert can have a significant impact on the business. It is about IT uptime, disruptions in production or other critical system conditions. Business processes, production workflows and therefore money, the reputation of the company or even the health of the employees are at stake. But what does reliable alerting actually mean and how is it achieved?
Microsoft Azure offers a choice of relational and non-relational database services to support a wide range of application needs and demands. Built-in intelligence helps automate management tasks like high availability, scaling, and query performance tuning to provide users with services that ensure applications are always available and performant. Many services offer essentially limitless database scale and SLAs (Service Level Agreements) usually range between 99.9-99.999% availability.
We recently had the privilege of presenting our telemetry data pipelining platform at Cloud Field Day. Today, we'd like to share a recap of our demo with you. In this demo, we explore the transformative potential of data profiling, telemetry pipeline optimization, and incident response. Foundationally, we follow an Understand, Optimize, and Respond workflow.
