Operations | Monitoring | ITSM | DevOps | Cloud

August 2021

Understanding Apigee API Monitoring

Want to make sure the APIs you’ve launched on Apigee are performing as expected? In this video, we show how API Monitoring provides real-time insights into API traffic and performance, so you can solve problems as they happen. Watch to learn how you can stay informed and understand unusual events or patterns.

Understand your services with Cloud Logging

What do you do when you know your service is having an issue? In this episode of Engineering for Reliability, we’ll show how you can use Cloud Logging to ingest, route, store, and view logs from your services and use them to fully understand application issues. Watch to learn how you can find issues faster, make your services more reliable, and keep your users happy.

Cloud Key Management in a minute

Cloud Key Management allows you to create, import, and manage cryptographic keys, as well as perform cryptographic operations in a single centralized cloud service. In this episode of Cloud Bytes, we show how you can centrally manage symmetric and asymmetric encryption keys for your cloud services. Watch and learn how you can quickly set up Cloud Key Management.

Zero effort performance insights for popular serverless offerings

Inevitably, in the lifetime of a service or application, developers, DevOps, and SREs will need to investigate the cause of latency. Usually you will start by determining whether it is the application or the underlying infrastructure causing the latency. You have to look for signals that indicate the performance of those resources when the issue occured.

Use Process Metrics for troubleshooting and resource attribution

When you are experiencing an issue with your application or service, having deep visibility into both the infrastructure and the software powering your apps and services is critical. Most monitoring services provide insights at the Virtual Machine (VM) level, but few go further. To get a full picture of the state of your application or service, you need to know what processes are running on your infrastructure.

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.

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!

New histogram features in Cloud Logging to troubleshoot faster

Visualizing trends in your logs is critical when troubleshooting an issue with your application. Using the histogram in Logs Explorer, you can quickly visualize log volumes over time to help spot anomalies, detect when errors started and see a breakdown of log volumes. But static visualizations are not as helpful as having more options for customization during your investigations.