Google Cloud's 23 regions for logging, Private Service Connect & more!
Here to bring you the latest news in the Cloud is Stephanie Wong.
Operations | Monitoring | ITSM | DevOps | Cloud
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Verify GKE Service Availability with new dedicated uptime checks
Keeping the experience of your end user in mind is important when developing applications. Observability tools help your team measure important performance indicators that are important to your users, like uptime. It’s generally a good practice to measure your service internally via metrics and logs which can give you indications of uptime, but an external signal is very useful as well, wherever feasible.
Monitor and troubleshoot your VMs in context for faster resolution
Troubleshooting production issues with virtual machines (VMs) can be complex and often requires correlating multiple data points and signals across infrastructure and application metrics, as well as raw logs. When your end users are experiencing latency, downtime, or errors, switching between different tools and UIs to perform a root cause analysis can slow your developers down.
Distributed tracing with OpenTelemetry and Cloud Trace
As more services are involved in serving user traffic and completing transactions, how does each service contribute to overall latency? In this episode of Engineering for Reliability, we’ll show how to use distributed tracing to capture the latency of user requests and how long it takes each service in the path to return a response. Watch to learn how to capture latency in distributed applications using OpenTelemetry and analyze it using Cloud Trace.
Google Cloud Asset Inventory 101
Cloud Asset Inventory is a metadata inventory service that allows you to view, monitor, and analyze all your Google Cloud and Anthos assets across projects and services. In this video, Sophia Yang - a Google Cloud Product Manager - will show you how Cloud Asset Inventory allows you greater visibility into your Google Cloud assets, receive real-time notifications on asset config changes, run analysis on inventory, getting insights from your deployment, and more! Watch to learn how you can use Cloud Asset Inventory to gain greater observability into your Google Cloud and Anthos assets!
Troubleshoot GKE apps faster with monitoring data in Cloud Logging
When you’re troubleshooting an application on Google Kubernetes Engine (GKE), the more context that you have on the issue, the faster you can resolve it. For example, did the pod exceed it’s memory allocation? Was there a permissions error reserving the storage volume? Did a rogue regex in the app pin the CPU? All of these questions require developers and operators to build a lot of troubleshooting context.
Use log buckets for data governance, now supported in 23 regions
Logs are an essential part of troubleshooting applications and services. However, ensuring your developers, DevOps, ITOps, and SRE teams have access to the logs they need, while accounting for operational tasks such as scaling up, access control, updates, and keeping your data compliant, can be challenging. To help you offload these operational tasks associated with running your own logging stack, we offer Cloud Logging.
Monitoring for app right-sizing in GKE
In this video, we show you how app right-sizing can fine-tune workload requests over time, ensuring they accurately reflect what the workloads utilize.
Debugging Cloud Functions
Developing a Cloud Function, but having issues troubleshooting it? In this episode of Serverless Expeditions Extended, we show you how to debug your function locally so you can avoid the risk of testing in production. Watch to learn how you can easily install the Functions Framework, set up the Node debugger, and fix your functions!
Monitoring for efficient cluster binpacking in GKE
To optimize GKE costs, it’s important for cluster administrators to understand how much of their cluster resources are used by workloads in their clusters. In this video, we’ll show you what steps to take to ensure that fewer cluster resources are idle or wasted.