All news with #amazon cloudwatch tag

Amazon CloudWatch SDK Adds JSON and CBOR Protocols

🚀 Amazon CloudWatch's SDK now supports both JSON and Concise Binary Object Representation (CBOR) protocols as the default communication formats. The change aims to reduce end-to-end processing latency and shrink payload sizes, lowering client CPU and memory usage. Available in all AWS Regions and for all GA SDK language variants; customers should update to the latest SDK and consult AWS developer documentation to enable the benefits.

Amazon CloudWatch Unified Data Management and Analytics

🔎 Amazon CloudWatch now provides unified data management and analytics to consolidate operational, security, and compliance data across AWS and third-party sources. The launch enables organization-wide ingestion from AWS sources such as AWS CloudTrail, Amazon VPC, and Amazon WAF, plus managed collectors for CrowdStrike, Okta, and Palo Alto Networks. Customers can use pipelines to transform and enrich logs to standard formats like OCSF and define facets for faster insights. Data can be stored in managed Amazon S3 Tables at no additional storage charge and queried natively or with any Apache Iceberg-compatible analytics tool.

Amazon CloudWatch Adds Deletion Protection for Log Groups

🔒 Amazon CloudWatch now lets you enable deletion protection on log groups to prevent accidental or unintended removals. Once enabled, a log group cannot be deleted until protection is explicitly turned off, helping preserve audit, compliance, and operational logs. The feature is available in all AWS commercial Regions and can be configured during creation or applied to existing groups via the Console, AWS CLI, AWS CDK, and AWS SDKs.

CloudWatch Container Insights: Sub-Minute GPU Metrics

🔍 Amazon CloudWatch Container Insights now supports configurable sub-minute GPU sampling for Amazon EKS, enabling GPU metrics to be collected at a per-second sample rate and aggregated to CloudWatch once per minute. This enhancement gives teams finer visibility into short-lived AI/ML inference and GPU-intensive workloads, helping to optimize resource utilization, troubleshoot performance issues, and improve operational efficiency for containerized GPU applications. The feature is available in all AWS Commercial Regions and AWS GovCloud (US) Regions at no additional cost.

CloudWatch Console Adds Automated Agent Management

⚙️ Amazon CloudWatch now provides an in-console experience for automated installation and configuration of the CloudWatch agent on EC2 instances. The new UI surfaces agent status across your EC2 fleet, automatically detects supported workloads, and uses CloudWatch observability solutions to recommend monitoring configurations. Customers can deploy agents with one-click installs or create tag-based policies for automated fleet-wide management, including for auto-scaled instances, reducing setup time from hours to minutes.

CloudWatch Application Map Adds Un‑instrumented Discovery

🔍 Amazon CloudWatch Application Map now detects and visualizes services that are not instrumented with Application Signals, providing out-of-the-box observability coverage across distributed environments. It also offers cross-account, unified views and retains a history of recent changes so teams can correlate configuration modifications with performance shifts. These enhancements aim to reduce MTTR and are available at no additional cost in most AWS commercial regions.

AWS Site-to-Site VPN Adds BGP Logging for Tunnels Now

🔍 AWS Site-to-Site VPN now publishes Border Gateway Protocol (BGP) logs from VPN tunnels to Amazon CloudWatch, providing deeper visibility into routing and session behavior. Previously, customers only had access to IKE/IPSec tunnel activity logs; the new BGP logs show session status, transitions, routing updates, and detailed error states. With both tunnel and BGP logs in CloudWatch, teams can correlate events, speed troubleshooting, and identify configuration mismatches between AWS endpoints and customer gateways across commercial Regions and AWS GovCloud (US).

Amazon EKS Adds Enhanced Container Network Observability

🔍 Amazon EKS now delivers enhanced container network observability with granular, network-related metrics and integrated console visualizations to help teams monitor and troubleshoot Kubernetes networking on AWS. Powered by Amazon CloudWatch Network Flow Monitor, the capabilities reveal cross-AZ flows, top-talkers, retransmissions, and retransmission timeouts for faster root cause analysis. Teams can ingest metrics into their preferred observability stacks and use the console views to eliminate blind spots during incidents. These features are available in all commercial Regions where CloudWatch Network Flow Monitor is offered.

AWS Network Firewall Log Analysis Using OpenSearch

📊 The post describes a new Amazon CloudWatch and Amazon OpenSearch Service dashboard that simplifies analysis of AWS Network Firewall logs by removing previous multi-step setup and streamlining integration. It explains prerequisites, creating an OpenSearch integration and dashboard, selecting log groups, sync intervals, and IAM roles. The overview covers widgets, filters, CSV export, common use cases, and cost considerations to improve visibility and troubleshooting.

CloudWatch Agent Adds Shared Memory Utilization Metrics

📈 Amazon Web Services announced that the Amazon CloudWatch Agent can now collect shared memory utilization metrics from Linux hosts running on Amazon EC2 or in on‑premises environments. This complements existing memory metrics (free, used, cached) and captures memory used by large enterprise databases and in‑memory applications. Administrators can enable the feature in the agent configuration file to obtain accurate total memory usage for sizing and optimization. The capability is available in all commercial and AWS GovCloud (US) Regions; CloudWatch custom metrics pricing applies.

CloudWatch Application Signals Now in AWS GovCloud

🔒 CloudWatch Application Signals is now available in AWS GovCloud (US-East) and AWS GovCloud (US-West), extending automated application observability to government and regulated workloads. The service automatically collects telemetry from Amazon EC2, Amazon ECS, Amazon EKS and AWS Lambda to provide real-time health, dependency visualization and anomaly detection. By eliminating manual instrumentation, it helps teams meet compliance and monitoring requirements while improving incident detection and resolution. For pricing and setup, consult the CloudWatch pricing page and Application Signals documentation.

CloudWatch Agent Adds NVMe Local Volume Performance Metrics

📈 The Amazon CloudWatch agent can now collect detailed performance metrics for NVMe local volumes attached to EC2 instances, including queue depths, I/O sizes, and device utilization. These metrics mirror the detailed statistics available for EBS volumes, enabling a consistent monitoring experience across storage types. You can create CloudWatch dashboards, set alarms, and analyze trends for NVMe-based instance store volumes, and the capability is available for all local NVMe volumes on Nitro-based EC2 instances in AWS Commercial and AWS GovCloud (US) Regions.

Amazon GameLift Servers Adds Built-in Telemetry Metrics

📊 Amazon GameLift Servers now includes built-in telemetry metrics across all server SDKs and game engine plugins, powered by OpenTelemetry, to generate, collect, and export client-side metrics for game-specific insights. The feature can be configured to collect and publish telemetry from game servers running on managed Amazon EC2 and container fleets, supporting both pre-defined and custom metrics and exporting to Amazon Managed Service for Prometheus or Amazon CloudWatch. Visualizations are available via Amazon Managed Grafana and Amazon CloudWatch dashboards to help optimize resources, improve player experience, and surface operational issues. Telemetry is available in all supported regions except AWS China; see the GameLift Servers documentation for details.

CloudWatch Adds EC2 Metrics for EBS IOPS and Throughput

🔔 Amazon introduced two new Amazon CloudWatch instance-level metrics — Instance EBS IOPS Exceeded Check and Instance EBS Throughput Exceeded Check — that flag when the driven IOPS or throughput exceeds the EBS-Optimized limits of an EC2 instance. Each metric returns 0 (not exceeded) or 1 (exceeded), enabling rapid identification of I/O bottlenecks and the creation of dashboards or alarms. These metrics are provided by default at a 1-minute frequency at no additional charge for Nitro-based EC2 instances with EBS attached and are accessible via the EC2 console, CLI, or CloudWatch API across Commercial, GovCloud (US), and China Regions.

CloudWatch Synthetics: Bundled Multi-Check Canaries

🔧 Amazon CloudWatch Synthetics now offers bundled multi-check blueprints that let teams define comprehensive synthetic tests using a single JSON configuration file. A single canary can include up to 10 steps covering HTTP (with varied authentication), DNS, SSL certificate checks and TCP ports, and supports complex assertions on status, latency, headers and response body. Integration with AWS Secrets Manager secures credentials, while step-by-step results and console debugging simplify implementation compared with writing multiple custom canaries.

Amazon CloudWatch Adds Generative AI Observability

🔍 Amazon CloudWatch is generally available with Generative AI Observability, providing end-to-end telemetry for AI applications and AgentCore-managed agents. It expands monitoring beyond model runtime to include Built-in Tools, Gateways, Memory, and Identity, surfacing latency, token usage, errors, and performance across components. The capability integrates with orchestration frameworks like LangChain, LangGraph, and Strands Agents, and works with existing CloudWatch features and pricing for underlying telemetry.

Amazon CloudWatch Application Map Generally Available

🗺️ Amazon CloudWatch now provides an out-of-the-box Application Map that automatically discovers, groups, and visualizes services and dependencies across AWS accounts and regions. SRE and DevOps teams can apply dynamic grouping by teams, business units, or criticality to align views with operational responsibilities and accelerate troubleshooting. The map integrates with a contextual troubleshooting drawer that surfaces metrics, SLOs, health indicators, changes, and top observations, and users can pivot to application-specific dashboards for deeper investigation. This capability is available in all AWS commercial regions at no additional cost.

CloudWatch Flow Monitors Extend Cross-Region Visibility

🔍 With this update, Amazon CloudWatch Network Monitoring flow monitors can observe traffic between AWS Regions over the AWS global network. Flow monitors deliver near real-time metrics for compute instances such as Amazon EC2 and Amazon EKS, and for services like Amazon S3 and Amazon DynamoDB, to help detect and attribute network-driven impairments. The network health indicator now captures cross-Region path health including visibility into remote public IPs and private traffic over VPC and Transit Gateway peering.