Category: Amazon CloudWatch

You can use metric streams to create continuous, near-real-time streams of Amazon CloudWatch metrics to a destination of your choice. Metric streams make it easier to send CloudWatch metrics to popular third-party service providers using an Amazon Kinesis Data Firehose HTTP endpoint. You can create a continuous, scalable stream that includes the most up-to-date CloudWatch […]

Security, cost and performance are always a top priority for AWS customers when they design their network. AWS PrivateLink is becoming increasingly popular because it provides secured private connectivity between Amazon Virtual Private Cloud (Amazon VPC), AWS services and your on-premises networks, without exposing your traffic to the public internet. In this blog post, we show you […]

In this post, it is described how The Washington Post’s Arc XP uses Metrics Explorer to monitor their global SaaS platform and reduce costs

We often talk about event driven architectures where an event is something that happens within your application or architecture. It could be a new file received by your application or when there is an alert triggered by high CPU utilization. We can act on these events by scanning the file contents or scaling out more […]

Apache Flink is a distributed stream processing engine. You can run Flink on Amazon EMR as a YARN application. You can view Flink metrics through its web UI, but what if you want to react to them? In this blog post, I’ll show you how to use the CloudWatch agent to collect Flink metrics into […]

Contributor Insights is a feature of AWS CloudWatch that can be used to analyze log data to create time series that displays contributor data. This will help you understand who or what is impacting your system and application performance by identifying top talkers, pinpointing outliers, finding the heaviest traffic patterns, and ranking the top system […]

Today, AWS announced Amazon CloudWatch Resource Health, a fully managed solution that customers can use to automatically discover, manage, and visualize the health and performance of Amazon Elastic Compute Cloud (Amazon EC2) hosts across their applications. Resource Health provides a centralized view of your EC2 hosts by performance dimensions such as CPU or memory utilization. […]

Customers who are running fleets of Amazon Elastic Compute Cloud (Amazon EC2) instances use advanced monitoring techniques to observe their operational performance. Capabilities like aggregated and custom dimensions help customers categorize and customize their metrics across server fleets for fast and efficient decision making. Customers need visibility not only into infrastructure metrics (like CPU and […]

The first post in this series, Reinventing automated operations (Part I), covered the importance of operations in the cloud and how deferring the creation of an operations plan can slow down your migration. In this post, I’ll share the primary mechanism of iterative improvement (aka flywheel) that AWS Managed Services (AMS) uses to increase operational […]

Customers want to have visibility into processes running inside their Amazon Elastic Compute Cloud (Amazon EC2) instances. Critical processes and services in these instances can crash unexpectedly and when they do, it’s crucial for customers to be notified so they can maintain continued business operations. There are multiple ways to see if a service is […]