In the dynamic landscape of financial services, data is not just currency; it's the key to innovation and operational excellence. Data is constantly streamlining from devices, logins, transfers, transactions, and much more, and it’s bound to increase with an ongoing reliance on digital channels. This creates a massive opportunity and responsibility for financial institutions, as their customers (and regulators) demand more from banking providers.

Observability strategies are needed to ensure stable and performant applications, especially when complex distributed environments back them. Large volumes of observability data are collected to support automatic insights into these areas of applications. Logs, metrics, and traces are the three pillars of observability that feed these insights. Security data is often isolated instead of combined with data collected by existing observability tools.

In today's always-on, ever-connected world, keeping digital systems secure and reliable is not just a goal, but a business imperative — it is now a boardroom-level conversation. With the increasing complexity of digital systems and ever-growing event volume, organizations face a constant battle to protect their systems, data, and reputation from a myriad of threats. Simultaneously, they need to optimize system performance, identify bottlenecks, and enhance the overall user experience.

Network complexity is at an all-time high. Between legacy technology, hybrid-multi-cloud environments, and networks cobbled together by mergers and acquisitions, it’s impossible for people to keep track of the network, its topology, and behavior. The idea of trying to trace a path through a multi-cloud network seems akin to being asked to pull a rabbit out of your hat.

CrowdStrike Falcon® LogScale provides a full range of dashboarding and live query capabilities out of the box. Sometimes, however, you’ll work in an environment where there are other solutions alongside LogScale. For example, let’s say your operations team takes an observability approach that includes metrics scraped by Prometheus, tracing with Tempo and dashboard visualizations with Grafana.

Kubernetes observability refers to the ability to monitor and diagnose the performance and behavior of a Kubernetes cluster and its applications. This includes monitoring resource usage, tracking the status of pods and deployments, and identifying and troubleshooting errors. Observability tools for Kubernetes typically include metrics, logging, and tracing capabilities.

Security and observability data go hand in hand when it comes to application health. If you can put those two sources of data behind a single pane of glass you can make your life a lot easier. By leveraging the different options that the Snyk platform provides, you can send all your application security vulnerabilities found by Snyk directly to your New Relic observability platform. Let’s see how!