AWS Cloud Operations Blog
Author: Imaya Kumar Jagannathan
Imaya Kumar Jagannathan is a Principal Solution Architect focused on AWS Observability services including Amazon CloudWatch, AWS X-Ray, Amazon Managed Service for Prometheus, Amazon Managed Grafana and AWS Distro for Open Telemetry. He is passionate about monitoring and observability and has a strong application development and architecture background. He likes working on distributed systems and is excited to talk about microservice architecture design. He loves programming in C#, working with containers and serverless technologies. LinkedIn: /imaya.
Send real-time alerts about application anomalies using AWS X-Ray insights
Today AWS X-Ray launches support for notifications to its insights. This means that on an X-Ray group where insights are enabled, you can now configure notifications to be sent to Amazon EventBridge. Through the use of anomaly detection, AWS X-Ray helps you analyze and debug distributed applications. AWS X-Ray Insights uses anomaly detection to create actionable insights […]
Gain visibility into your Kubernetes spend with CloudZero and Amazon CloudWatch Container Insights
Container adoption has been increasing rapidly in the past few years. Customers are deploying workloads of all sizes on Amazon Elastic Kubernetes Service (Amazon EKS). Typically, cluster administrators deploy several business applications and workloads on a cluster to achieve more efficient deployment density. On large clusters in a shared infrastructure where workloads of different sizes […]
Dynamically adjusting X-Ray sampling rules
In a distributed system environment, tracing service-to-service interactions is essential to easily identify service bottlenecks, faults, and errors. AWS X-Ray allows you to set up tracing on your applications hosted on a variety of compute environments, such as Amazon Elastic Compute Cloud (Amazon EC2), AWS Elastic Beanstalk, Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic […]
Lowering costs and focusing on our customers with Amazon CloudWatch embedded custom metrics
This post was authored by Martin Holste, CTO for Cloud at FireEye. Amazon CloudWatch provides a mechanism to publish metrics through logs using a format called Embedded Metric Format (EMF). You can use this to ingest complex application metric data to CloudWatch along with other log data. Although you can use this feature in all […]
Using Amazon CloudWatch metric filters and alarms to monitor logs on SonicWall Firewall
In this guest post, Marcin Gornik – Director of IT at Tommy John Inc discusses how they used CloudWatch Metric Filters to monitor their SonicWall Firewall system to better secure their infrastructure. TommyJohn, a clothing design and manufacturer company, uses Amazon CloudWatch to monitor their SonicWall firewall devices. This blog discusses why CloudWatch was selected […]
Education site ApplyBoard monitors their mission-critical EKS environment using CloudWatch Container Insights
This guest blog post is contributed by Jayat Markan, a DevOps engineer at ApplyBoard. Jayat helps developer teams build and run a stable and highly available application platform. ApplyBoard’s online platform enables international students to apply to educational institutions across the United States and Canada. This blog post discusses how ApplyBoard set up monitoring on […]
Comcast adds CloudWatch metrics aggregation when monitoring Kinesis Video Streams
This post walks through how Comcast Corporation set up monitoring for Amazon Kinesis Video Streams. To support their business requirements and performance SLAs, they added additional aggregated metrics vended by the Kinesis Video Stream service into Amazon CloudWatch. Comcast Corporation is a global media and technology company that offers a home security solution called Xfinity […]