As businesses scale across hybrid and multi-cloud environments and integrate AI-powered technologies, complexity grows — and with it, the risk of performance degradation and cost of downtime. To avoid facing customer-impacting IT issues, organizations need better ways to correlate data across environments, detect anomalies before they escalate, and resolve incidents more efficiently. That’s where Splunk and Cisco come in.

There are several big barriers to an effective tracing strategy. Modern applications require complex code instrumentation, and legacy applications might not be so easy to alter, and that’s assuming every engineering team can be engaged to make the necessary changes. eBPF & OpenTelemetry flip this entire problem on its head, and Coralogix is one of the first major observability platforms to leverage this exciting functionality, to provide an unobtrusive, low risk overview of your system.

Observability in Azure isn’t just about tracking metrics—it’s about truly understanding how your cloud infrastructure, applications, and services are performing. It helps you spot issues before they become problems, optimize performance, and ensure security. In this guide, we’ll break down Azure Observability in a way that’s easy to follow, covering key concepts, best practices, and some useful tricks to give you an edge.

88% of online consumers are less likely to return to a site after a bad user experience. This means that addressing frontend issues such as slow load times, broken features, and unresponsive elements is crucial. Frontend monitoring helps development and IT teams proactively catch and resolve these issues to improve their user experience.

Ben Schaechter is co-founder & CEO of Vantage, a cloud cost management platform that provides actionable insights for every engineer. Observability tools have changed the way we monitor infrastructure and applications, as teams get complete visibility into performance across complex, multi-cloud environments. But as all that infrastructure scales, costs rise with it, and organizations are left to ask: Where are my costs going—and why?

According to the 2024 Logz.io Observability Pulse Survey, 91% of respondents said they’re actively looking for ways to reduce observability costs, and 50% want better visibility into their monitoring expenses.

The demand for seamless user experiences and robust system reliability is at an all-time high, and businesses are racing to meet these expectations. But as system complexity increases, traditional monitoring tools are falling short. Observability offers a paradigm shift. It goes beyond tracking metrics and provides deep insights to understand the “why” behind system behavior by parsing and contextualizing unstructured data.

One of the hardest parts of my job is to get people to appreciate just how much of a difference Honeycomb/observability 2.0 is compared to their current way of working. It’s not just a small step up or a linear improvement. Rather, it’s an entire step change in the way that you write, deploy, and operate software for your customers.

Teneo understands that it can be hard to balance cost and depth of observability in todays fast-paced digital landscape, where organizations face the challenge of managing increasingly complex IT infrastructures while keeping costs under control. Achieving this balance requires a new approach, this is why we have developed our Open Observability platform, a critical component of Teneo’s StreamlineX framework.

Tool sprawl within organizations doesn’t just create a fragmented user experience; it poses a real threat to enterprises’ bottom lines. Consider these statistics: This fragmentation significantly limits worker productivity. IT leaders spend hundreds of hours trying to manage multiple tools, map their environments, and upkeep aging systems that are either outdated or simply no longer necessary.