Source URL: https://cloud.google.com/blog/products/containers-kubernetes/kubernetes-history-inspector-visualizes-cluster-logs/
Source: Cloud Blog
Title: Meet Kubernetes History Inspector, a log visualization tool for Kubernetes clusters
Feedly Summary: Kubernetes, the container orchestration platform, is inherently a complex, distributed system. While it provides resilience and scalability, it can also introduce operational complexities, particularly when troubleshooting. Even with Kubernetes’ self-healing capabilities, identifying the root cause of an issue often requires deep dives into the logs of various independent components.
At Google Cloud, our engineers have been directly confronting this Kubernetes troubleshooting challenge for years as we support large-scale, complex deployments. In fact, the Google Cloud Support team has developed deep expertise in diagnosing issues within Kubernetes environments through routinely analyzing a vast number of customer support tickets, diving into user environments, and leveraging our collective knowledge to pinpoint the root causes of problems. To address this pervasive challenge, the team developed an internal tool: the Kubernetes History Inspector (KHI), and today, we’ve released it as open source for the community.
The Kubernetes troubleshooting challenge
In Kubernetes, each pod, deployment, service, node, and control-plane component generates its own stream of logs. Effective troubleshooting requires collecting, correlating, and analyzing these disparate log streams. But manually configuring logging for each of these components can be a significant burden, requiring careful attention to detail and a thorough understanding of the Kubernetes ecosystem. Fortunately, managed Kubernetes services such as Google Kubernetes Engine (GKE) simplify log collection. For example, GKE offers built-in integration with Cloud Logging, aggregating logs from all parts of the Kubernetes environment. This centralized repository is a crucial first step.
However, simply collecting the logs solves only half the problem. The real challenge lies in analyzing them effectively. Many issues you’ll encounter in a Kubernetes deployment are not revealed by a single, obvious error message. Instead, they manifest as a chain of events, requiring a deep understanding of the causal relationships between numerous log entries across multiple components.
Consider the scale: a moderately sized Kubernetes cluster can easily generate gigabytes of log data, comprising tens of thousands of individual entries, within a short timeframe. Manually sifting through this volume of data to identify the root cause of a performance degradation, intermittent failure, or configuration error is, at best, incredibly time-consuming, and at worst, practically impossible for human operators. The signal-to-noise ratio is incredibly challenging.
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Introducing the Kubernetes History Inspector
KHI is a powerful tool that analyzes logs collected by Cloud Logging, extracts state information for each component, and visualizes it in a chronological timeline. Furthermore, KHI links this timeline back to the raw log data, allowing you to track how each element evolved over time.
The Google Cloud Support team often assists users in critical, time-sensitive situations. A tool that requires lengthy setup or agent installation would be impractical. That’s why we packaged KHI as a container image — it requires no prior setup, and is ready to be launched with a single command.
It’s easier to show than to tell. Imagine a scenario where end users are reporting “Connection Timed Out" errors on a service running on your GKE cluster. Launching KHI, you might see something like this:
First, notice the colorful, horizontal rectangles on the left. These represent the state changes of individual components over time, extracted from the logs – the timeline. This timeline provides a macroscopic view of your Kubernetes environment. In contrast, the right side of the interface displays microscopic details: raw logs, manifests, and their historical changes related to the component selected in the timeline. By providing both macroscopic and microscopic perspectives, KHI makes it easy to explore your logs.
Now, let’s go back to our hypothetical problem. Notice the alternating green and orange sections in the "Ready" row of the timeline:
This indicates that the readiness probe is fluctuating between failure (orange) and success (green). That’s a smoking gun! You now know exactly where to focus your troubleshooting efforts.
KHI also excels at visualizing the relationships between components at any given point in the past. The complex interdependencies within a Kubernetes cluster are presented in a clear, understandable way.
What’s next for KHI and Kubernetes troubleshooting
We’ve only scratched the surface of what KHI can do. There’s a lot more under the hood: how the timeline colors actually work, what those little diamond markers mean, and many other features that can speed up your troubleshooting. To make this available to everyone, we open-sourced KHI.
For detailed specifications, a full explanation of the visual elements, and instructions on how to deploy KHI on your own managed Kubernetes cluster, visit the KHI GitHub page. Currently KHI only works with GKE and Kubernetes on Google Cloud combined with Cloud Logging, but we plan to extend its capabilities to the vanilla open-source Kubernetes setup soon.
While KHI represents a significant leap forward in Kubernetes log analysis, it’s designed to amplify your existing expertise, not replace it. Effective troubleshooting still requires a solid understanding of Kubernetes concepts and your application’s architecture. KHI helps you, the engineer, navigate the complexity by providing a powerful map to view your logs to diagnose issues more quickly and efficiently.
KHI is just the first step in our ongoing commitment to simplifying Kubernetes operations. We’re excited to see how the community uses and extends KHI to build a more observable and manageable future for containerized applications. The journey to simplify Kubernetes troubleshooting is ongoing, and we invite you to join us.
AI Summary and Description: Yes
Summary: The text discusses the complexities of troubleshooting within Kubernetes environments and introduces the Kubernetes History Inspector (KHI), a new open-source tool to aid in log analysis and fault diagnosis. This tool enhances the ability of engineers to effectively navigate extensive log data, improving operational efficiency for cloud Kubernetes deployments.
Detailed Description:
– **Kubernetes Complexity**: As a container orchestration platform, Kubernetes is essential for scalability and resilience but presents significant challenges in log management and troubleshooting.
– **Challenges with Logging**:
– Each component in a Kubernetes system produces its own logs, necessitating the collection, correlation, and analysis of these diverse log streams.
– Manual logging configurations can be burdensome, emphasizing the need for effective log management solutions.
– **Google Cloud’s Expertise**: The Google Cloud Support team has built substantial expertise in troubleshooting Kubernetes through analysis of customer support tickets and user environments.
– **Introduction to KHI**:
– The Kubernetes History Inspector (KHI) is designed to analyze logs collected by Cloud Logging and visualize data chronologically, linking timelines back to raw logs.
– Its design as a container image allows for quick deployment without lengthy setup, making it practical for time-sensitive troubleshooting needs.
– **Functional Highlights of KHI**:
– Provides both macroscopic (timelines) and microscopic (detailed logs) views of the Kubernetes environment.
– Identifies complex interdependencies within Kubernetes clusters, facilitating quicker diagnosis of issues such as “Connection Timed Out” errors.
– **Future of KHI**:
– KHI is currently optimized for Google Kubernetes Engine and planned expansions may offer support for open-source Kubernetes setups.
– Although it enhances troubleshooting processes, KHI serves as a complementary tool, necessitating a foundational knowledge of Kubernetes concepts for effective use.
– **Call to Community**: Google Cloud’s commitment to easing Kubernetes operations continues with KHI, inviting community involvement in its development and application to improve observability and manageability of containerized applications.
With the growth of Kubernetes adoption in cloud environments, tools like KHI are crucial for security and compliance professionals aiming to streamline operations and enhance their troubleshooting capabilities, ultimately leading to more resilient infrastructure.