Lumigo’s new Kubernetes Event Issue Page lets you quickly understand recurring Kubernetes issues by showing error frequency over time, along with key metrics like CPU, memory, and pod statuses for the affected object.

Assess the blast radius by seeing which other issues impacted the same object or which other objects experienced the same error.

Use this page as a starting point to dive deeper into related logs, traces, metrics or Kubernetes events, everything you need in one place to move from detection to resolution faster.

We’re excited to announce the release of the Pod Application Issues Page: a new consolidated view that brings all your pod-related application issues into one place.

This page completes the observability cycle for your pods. In addition to metrics, logs, and events, you can now also see applicative issues, giving you a comprehensive understanding of each pod’s health and behavior.

What’s Inside?

• A clear list of all application issues affecting the pod.
• Key details like issue type, number of occurrences, and a distribution breakdown of error messages.
• A direct link to the latest invocation for each issue, so you can seamlessly continue your investigation.

How to Access It?

Navigate to your pod via the Kubernetes page, then click on the new Application Issues tab.

As Copilot performs investigations or queries your traces, you can now see the exact searches it performs directly on the Traces Search page, along with their results. This gives you full visibility into the queries Copilot generates and lets you pick up right where it left off! Just make sure the “Apply on page” feature is toggled on to view these searches as they happen.

We’re excited to introduce the Pod Page Events Tab - your new window into all Kubernetes events at the pod level.

This tab provides a chronological stream of Kubernetes events specifically scoped to an individual pod, making it easy to troubleshoot issues and track changes as they happen.

What you can do:

• Trace pod lifecycle events like scheduling, state changes, and container restarts.
• Quickly identify errors and warnings affecting your pod (e.g., image pull failures, probe issues).
• Drill into event metadata for full transparency.

To get started, head over to a specific pod page in your Kubernetes cluster and click on the Events tab.

We’re excited to announce the launch of the Container Page - a new view that gives you deep visibility into all containers within a pod.

What’s inside:

• Container Status & Readiness: Instantly understand the current lifecycle and health of each container.
• Key Resource Metrics: Monitor real-time CPU and memory utilization for each container.
• Container-Level Details: Inspect the image and restart count.

Whether you're debugging pod behavior, checking rollout health, or optimizing performance, this page gives you the insights you need at a glance.

The Container Page is available directly within the Single Pod Page. Try it out!

We’re excited to announce the release of our new Logs Live Tail page - giving you real-time visibility into your logs as they stream from your environment.

Whether you're troubleshooting live issues or debugging during development, Logs Live Tail helps you stay on top of what’s happening right now, with no delays.

Key Features:

• Real-time log streaming from your environment
• Advanced filtering to narrow down noise and focus on what matters
• Full log message and fields visibility
• Automatic correlation to invocations for seamless end-to-end investigation

Usage Notes:

• The live tail view is limited to 50 new logs/second.
• If this limit is exceeded, a sampling mechanism will be applied to the live tail only. All logs remain accessible via the main Logs Search page.
• To minimize sampling we recommend applying filters to focus your view.

Start using Logs Live Tail today to streamline your debugging workflow and speed up incident resolution!

Investigate your logs faster and more intelligently with Lumigo Copilot!
Ask questions in natural language to extract key insights, surface metrics, identify unusual patterns, and get to the root cause quickly and confidently without writing a single query.

Example questions you can ask:

• How many red unicorn orders did we receive last week?
• What were the top error messages in the checkout service yesterday?
• What happened before the first “PaymentFailed” error on June 14th?

Just head to the Logs Search or SQL page and start investigating.

Excited to share that we’ve launched the new Kubernetes Pod Overview page!
This enhancement offers a streamlined, high-level view of each of your pods, making it easier to monitor and troubleshoot:

• Track CPU and memory usage trends across containers
• View Kubernetes events and rollout history for better visibility into changes
• Spot issues quickly with time-based error log tracking

You can access this new page from the Pods tab on the Cluster page or the Pods tab on a Single Workload page. It provides a clear snapshot of your pod’s health and activity, helping you dive into logs, metrics, and events when deeper investigation is needed.

We’re excited to announce the release of predefined alert templates for Kubernetes metrics!
Now, setting up alerts based on Kubernetes metrics, like high node CPU or memory usage, is faster and easier than ever.
Simply choose a template, and the alert will be automatically configured for you, with no need to define metric formulas manually.

Give it a name, link it to your preferred notification tool, and you’re all set. 

Go give it a try!

• Write SQL to query your logs
• Visualize results as Table, Bar Chart, Line Chart, or Pie Chart
• Add them to your dashboard for quick insights

Note: Your query must include time parameters and return data in a format compatible with the selected visualization. Learn more