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Managing the growth of your Kubernetes clusters within Google Kubernetes Engine (GKE) just got easier. We've recently introduced the ability to directly monitor and set alerts for crucial scalability limits, providing you with deeper insight and control over your Kubernetes environment. Effective scalability management is essential for avoiding outages and optimizing resource usage in Kubernetes. These new monitoring features bring you: Peace of mind: Potential capacity issues can be proactively addressed before they cause problems, ensuring uninterrupted operations.Clearer understanding: Gain a deeper insight into your clusters’ architectural constraints, allowing for informed decision-making.Optimization opportunities: Analyze usage trends and identify ways to fine-tune your cluster configurations for optimal resource utilization.Here are the specific limits you can now keep track of: Etcd database size (GiB): Understand how much space your Kubernetes cluster state is consuming.Nodes per cluster: Get proactive alerts on your cluster's overall node capacity.Nodes per node pool (all zones): Manage node distribution and limits across specific node pools.Pods per cluster (GKE Standard / GKE Autopilot): Ensure you have the pod capacity to support your applications.Containers per cluster (GKE Standard / GKE Autopilot): Prevent issues by understanding the maximum number of containers your cluster can support. Get startedYou'll find these new quota monitoring and alerting features directly within the Google Cloud console. To get there, you can use the link to a pre-filtered list of GKE quotas or navigate to the Quotas page under the IAM & Admin section in the console and then filter by the Kubernetes Engine API service. To search for a specific quota, use the Filter table. You can filter by the exact quota name, location, cluster name, or node pool (where applicable). You can also create alerts for a specific quota by following the guide. Alerts can be configured to notify you when a quota is approaching or has exceeded its limit. By using the Cloud Monitoring API and console you can monitor GKE quota usage in greater depth. The API allows you to programmatically access quota metrics and create custom dashboards and alerts. The console provides a graphical interface for monitoring quota usage and creating alerts. Custom dashboards can be created to visualize quota usage over time. Alerts can be configured to notify you when quota usage reaches a certain threshold. This can help you proactively manage your quotas and avoid unexpected outages. See the guide for more details. Need more information? Explore the official Google Cloud documentation for more in-depth guidance: Understanding GKE Quotas and Limits: Quotas and limits | Google Kubernetes Engine (GKE)Best practices planning and designing large-size clusters: Plan for large GKE clusters | Google Kubernetes Engine (GKE)Setting up a quota alert: Monitor and alert with quota metricsUsing GKE observability metrics: View observability metrics | Google Kubernetes Engine (GKE)View the full article

Amazon Lookout for Metrics uses machine learning (ML) to automatically monitor the metrics critical to your businesses with greater speed and accuracy than traditional methods used for anomaly detection. The service makes it easier to diagnose the root cause of anomalies such as unexpected dips in revenue, high rates of abandoned shopping carts, spikes in payment transaction failures, increases in new user sign-ups, and many more. View the full article

Amazon Location Service now supports quota management. Developers can create Amazon CloudWatch alarms that notify them when their usage of any API is close to their quota limit for that API. These alarms help developers ensure operational continuity, prevent service throttling, and protect from unintentional spend. Additionally, developers can use AWS Service Quotas to view, manage, and request quota increases, all in one user interface. For example, an eCommerce website can create a CloudWatch alarm to get notified when they have reached 80% usage on each of the Amazon Location APIs. When the alarm is initiated, they can request a quota increase to help scale their workloads, prevent their website from experiencing outages, and prevent a poor customer shopping experience. View the full article

Amazon DynamoDB now enables you to proactively manage your account and table quotas through enhanced integration with Service Quotas. Using Service Quotas, you can now view the current values of all your DynamoDB quotas. You can also monitor the current utilization of your account-level quotas. View the full article

AWS DeepRacer Multi-user mode provides an exciting way for organizations to sponsor multiple AWS DeepRacer participants under one AWS account. Until now, AWS DeepRacer event organizers lacked ways to preemptively set budgets and controls for participants and maintain, monitor, and control their budgets by monitoring usage. View the full article

Red Hat Quay 3.7 marks another important feature release of Red Hat’s central container registry platform for modern multi-cluster Kubernetes landscapes across cloud and on-premise infrastructures. This version focuses on introducing major new functionality that helps enterprise customers run large multi-tenant and resilient container registry deployments that are integrated with external registries. Among net-new capabilities for the registry this release further refines the lifecycle of Red Hat Quay on Red Hat OpenShift Container Platform via the operator. View the full article

Amazon EventBridge now provides Server-Side Encryption (SSE) using AWS Owned Keys for protection of sensitive data. SSE is enabled by default and lets you transmit sensitive data more securely with EventBridge. View the full article

Amazon FSx for Lustre, a service that provides high-performance shared storage, now supports storage quotas. With storage quotas, you can monitor and control user- and group-level storage consumption on your file systems to ensure that no user or group consumes excessive amounts of capacity. Storage quotas are ideal for storage administrators who manage multi-user file systems such as user shares for data scientists, computational engineers, and genomics researchers. View the full article

You can now use AWS Service Quotas to view and manage your Amazon EMR service limits, also known as quotas, from a central location via the AWS console, API, or AWS CLI. Using AWS Service Quotas, you can view your service limits in one place and eliminate the need to go to multiple sources or maintain your own list. View the full article

Amazon Cognito User Pools now enables you to manage quotas for commonly used operation categories, such as user creation and user authentication, as well as view quotas and usage levels in the AWS Service Quotas dashboard or in CloudWatch metrics. This update makes it simple view your quota usage of and request rate increases for multiple APIs in the same category. For example, you now can now see the aggregated limit for a single “UserCreation” category, which includes SignUp, AdminCreateUser, ConfirmSignUp, and AdminConfirmSignUp. You can check whether the existing quotas can meet your operations needs in Service Quotas console or CloudWatch metrics. You can refer to this documentation to learn how the API operations are mapped to the new categories. View the full article