Simplifying Lambda function development using CloudWatch Logs Live Tail and Metrics Insights | Amazon Web Services

Simplifying Lambda function development using CloudWatch Logs Live Tail and Metrics Insights | Amazon Web Services

This post is written by Shridhar Pandey, Senior Product Manager, AWS Lambda Today, AWS is announcing two new features which make it easier for developers and operators to build and operate serverless applications using AWS… Article Source https://aws.amazon.com/blogs/compute/simplifying-lambda-function-development-using-cloudwatch-logs-live-tail-and-metrics-insights/

Optimize Amazon WorkSpaces Personal Performance with Amazon CloudWatch | Amazon Web Services

Optimize Amazon WorkSpaces Personal Performance with Amazon CloudWatch | Amazon Web Services

Are you looking to gain additional insight how end users are connecting to Amazon WorkSpaces Personal instances? Would you like to track and report on IP addresses, platforms, and client versions being used to access WorkSpaces Personal?… Article Source https://aws.amazon.com/blogs/desktop-and-application-streaming/optimize-amazon-workspaces-personal-performance-with-amazon-cloudwatch/

Enhanced dashboard, latency suggestions in Amazon CloudWatch Internet Monitor | Amazon Web Services

Enhanced dashboard, latency suggestions in Amazon CloudWatch Internet Monitor | Amazon Web Services

Amazon CloudWatch Internet Monitor provides near-continuous internet measurements for your internet traffic, including availability and performance metrics, tailored to your specific workload footprint on AWS. With Internet Monitor, you… Article Source https://aws.amazon.com/blogs/mt/enhanced-dashboard-latency-suggestions-in-amazon-cloudwatch-internet-monitor/

Analyzing your custom metrics spend contributors in Amazon CloudWatch | Amazon Web Services

Analyzing your custom metrics spend contributors in Amazon CloudWatch | Amazon Web Services

With an ever-growing volume of custom metrics in Amazon CloudWatch, customers often find it difficult to understand and manage their spend on this service. One of the most common questions they have is how to identify which metrics… Article Source https://aws.amazon.com/blogs/mt/analyzing-your-custom-metrics-spend-contributors-in-amazon-cloudwatch/

AWS introduces new CloudWatch metrics for FIFO queues in Amazon SQS

AWS introduces new CloudWatch metrics for FIFO queues in Amazon SQS

Amazon Simple Queue Service (SQS) has introduced two new metrics on Amazon CloudWatch to enhance visibility into the usage of FIFO queues. This move aims to provide SQS customers with improved insights into their FIFO usage. The new metrics include the NumberOfDeduplicatedSentMessages, which measures the number of messages sent to a queue and deduplicated. This … Read more

Amazon Web Services teams up with The Weather Company to improve MLOps using Amazon SageMaker, AWS CloudFormation, and Amazon CloudWatch.

Amazon Web Services teams up with The Weather Company to improve MLOps using Amazon SageMaker, AWS CloudFormation, and Amazon CloudWatch.

La publicación del blog destaca la importancia de establecer operaciones de aprendizaje automático (MLOps) escalables para respaldar el crecimiento en tecnologías de aprendizaje automático. The Weather Company (TWCo) mejoró su plataforma MLOps utilizando servicios como Amazon SageMaker, Formación en la nube de AWS y Amazon CloudWatch. Con la ayuda de AWS Machine Learning Solutions Lab … Read more

AWS CloudFormation now allows tagging alarms in Amazon CloudWatch

AWS introduces new CloudWatch metrics for FIFO queues in Amazon SQS

CloudWatch customers can now tag their alarms to add context and categorize their resources. This allows them to convey information like purpose, priority, or contact team. These tags can be viewed on the alarm details page or accessed programmatically for automated processes and ticketing systems. While customers were already able to tag alarms using the … Read more

How to minimize code redundancy in load testing and synthetic monitoring with Amazon CloudWatch Synthetics | AWS

How to minimize code redundancy in load testing and synthetic monitoring with Amazon CloudWatch Synthetics | AWS

Load testing is a crucial step in the software development process that ensures the performance of your workload before deployment. Synthetic monitoring is used for monitoring the health and availability of applications and APIs in production. While load testing and synthetic monitoring test the same application flow, they use different load characteristics and tools, resulting … Read more

Amazon Web Services offers operational insights for NVIDIA GPU workloads through CloudWatch Container Insights.

Amazon Web Services offers operational insights for NVIDIA GPU workloads through CloudWatch Container Insights.

Machine learning models are becoming more advanced, requiring significant computing power for efficient training. Many organizations are using GPU-accelerated Kubernetes clusters for training and inference. Monitoring GPU usage is essential for optimizing performance and infrastructure utilization. Understanding how models utilize GPU resources over time is crucial for cluster optimization. Machine learning experts need observability solutions … Read more

View your CloudWatch metrics using AWS resource tags in Coralogix on AWS Marketplace | Amazon Web Services

View your CloudWatch metrics using AWS resource tags in Coralogix on AWS Marketplace | Amazon Web Services

Amazon CloudWatch is essential for monitoring AWS resources. Users may want to export metrics to third-party systems for centralized observability. Coralogix offers a solution as an AWS Partner Network technology partner. It allows for real-time analytics, monitoring, and alerting without storage or indexing. Integrating CloudWatch metrics with Coralogix using AWS resource tags in a monitoring … Read more