Security | Threat Detection | Cyberattacks | DevSecOps | Compliance


What is the Benefit of Including Security with Your Observability Strategy?

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.

Datadog Cloud Security Management: Unified Security and Observability

Datadog Cloud Security Management operates across your stack, bringing together security and observability to create an all-in-one solution that equips teams with a shared view of issues so they’re better able to collaboratively secure their environments.

Unifying Security and Observability to Strengthen Digital Resilience

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.

10 Out Of 10 SecOps Pros Agree: You Can't Secure What You Can't See

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.

How to Complete Your LogScale Observability Strategy with Grafana

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.

Datadog's Security Observability Day 2023

Datadog Cloud Security products offers real-time security monitoring across the stack, leveraging the Datadog Observability platform already used by millions of engineering teams. During this Datadog Security Observability Day we’ve shared how Datadog is making security a team sport, and how our security products help observe, uncover and secure vulnerabilities that matter.

What Is Kubernetes Observability and Why It's Critical for Securing Your Clusters

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.

How to send Snyk vulnerability data to the New Relic observability platform

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!

Add security context to observability data with Datadog Cloud Security Management

Organizations are rapidly migrating their infrastructure to the cloud, enabling them to modernize their applications and deliver more value to their customers. But this transition creates significant security risks that they may be unable to keep pace with. For example, cyber attacks on cloud resources are becoming more sophisticated and prevalent. Additionally, organizations often rely on legacy, disjointed security tools that don’t integrate well with cloud-native infrastructure.