Black Friday—and really, the entire Cyber Week—is a time when you want your applications running at peak performance without completely exhausting your operations teams. Observability solutions can help you achieve this goal, whether you’re a small team with a single product or a large team operating complex ecommerce applications. But not all observability solutions (or tools) are alike, and if you are missing just one key capability, it could cause customer satisfaction issues, slower sales and even top- and bottom-line ..read more

In today's fast-paced digital landscape, the seamless operation and performance of software applications is crucial for businesses. Downtime, glitches and service interruptions can result in significant revenue loss and damage a company's reputation. This is where modern, advanced monitoring solutions like IBM Instana come into play. With its cutting-edge capabilities, Instana goes beyond traditional monitoring approaches like New Relic, enabling organizations to detect and predict issues before they impact end-users. Automatic and continuous discovery of application components One of Instana ..read more

Modern application environments need real-time automated observability to have visibility and insights into what is going on. Because of the highly dynamic nature of microservices and the numerous interdependencies among application components, having an automated approach to observability is essential. That’s why traditional solutions like New Relic struggle to keep up with monitoring in cloud-native environments.  Automation in observability is a requirement When an application is not performing properly, customers are unhappy and your business can suffer. If your observability ..read more

IT is under enormous pressure. The expectation is 24/7/365 performance while also delivering increasingly better customer experiences at the lowest possible cost. The reality is that it’s difficult to keep apps performing as designed, especially in modern, cloud-native environments with microservices and Kubernetes. Cloud costs are out of control, and teams spend too much time fixing instead of innovating. And it all happens at a rate that makes it impossible for humans to keep up. It’s time for IT to ..read more

In our blog series, we’ve debunked the following observability myths so far: Part 1: You can skip monitoring and rely solely on logs Part 2: Observability is built exclusively for SREs Part 3: Observability is only relevant and beneficial for large-scale systems or complex architectures Part 4: Observability is always expensive Part 5: You can create an observable system without observability-driven automation Today, we're delving into another misconception about observability—the belief that it's solely applicable to a specific part of your stack or ..read more

Organizations today struggle to detect, identify and act on business operations incidents. The gap between business and IT continues to grow, leaving orgs unable to link IT outages to business impact.  Site reliability engineers (SREs) want to understand business impact to better prioritize their work but don’t have a way of monitoring business KPIs. They struggle to link IT outages to business impacts because data is often siloed and knowledge is tribal. It forces teams into a highly reactive mode ..read more

For a long time, there wasn’t a good standard definition of observability that encompassed organizational needs while keeping the spirit of IT monitoring intact. Eventually, the concept of “Observability = Metrics + Traces + Logs” became the de facto definition. That’s nice, but to understand what observability should be, you must consider the characteristics of modern applications: Changes in how they’re developed, deployed and operated The blurring of lines between application code and infrastructure New architectures and technologies like Docker ..read more

In our blog series, we’ve debunked the following observability myths so far: Part 1: You can skip monitoring and rely solely on logs Part 2: Observability is built exclusively for SREs Part 3: Observability is only relevant and beneficial for large-scale systems or complex architectures Part 4: Observability is always expensive Part 5: You can create an observable system without observability-driven automation Part 6: Observability is about one part of your stack In this post, we'll tackle another fallacy that limits the potential ..read more

In our blog series, we’ve debunked the following observability myths so far: Part 1: You can skip monitoring and rely solely on logs Part 2: Observability is built exclusively for SREs Part 3: Observability is only relevant and beneficial for large-scale systems or complex architectures Part 4: Observability is always expensive Part 5: You can create an observable system without observability-driven automation Part 6: Observability is about one part of your stack In this article, we will focus on the misconception that “observability ..read more

A superior customer experience (CX) is built on accurate and timely application performance monitoring (APM) metrics. You can’t fine-tune your apps or system to improve CX until you know what the problem is or where the opportunities are. APM solutions typically provide a centralized dashboard to aggregate real-time performance metrics and insights to be analyzed and compared. They also establish baselines to alert system administrators to deviations that indicate actual or potential performance issues. IT teams, DevOps and site reliability ..read more