AWS Cloud Operations & Migrations Blog

Tag: Monitoring & Observability

Introducing Amazon CloudWatch Alarm Recommendations

Amazon CloudWatch is a foundational AWS service that provides you with actionable insights into your cloud resources and applications. With Amazon CloudWatch Metrics, you can gain better visibility into your infrastructure and large-scale application performance. You can set up alarms using Amazon CloudWatch Alarms for metrics emitted by AWS services or your applications. Identifying which metrics […]

What’s new in AWS Observability at re:Invent 2023

What’s new in AWS Observability at re:Invent 2023

Let’s recap the week at AWS re:Invent 2023 with a round-up of the AWS Observability launches across Amazon CloudWatch, Amazon Managed Grafana, and Amazon Managed Service for Prometheus. From automatic instrumentation and operation of applications in CloudWatch, to agentless scraping of Prometheus metrics in Managed Service for Prometheus, read on to learn about the features […]

Observability using native Amazon CloudWatch and AWS X-Ray for serverless modern applications

Introduction In this blog post, we will share how you can use AWS-native observability tools to measure the current state of your modern serverless applications and how to get started with the minimal effort. We will review tools like Amazon CloudWatch and AWS X-Ray and explore how these services can help you instrument your application […]

Automate insights for your EC2 fleets across AWS accounts and regions

Automate insights for your EC2 fleets across AWS accounts and regions

Introduction Gaining insights and managing large Amazon Elastic Compute Cloud (Amazon EC2) fleet that is spread across multiple accounts and regions can be a challenging task. It’s crucial to have a quick and efficient method to identify which instances are managed by AWS Systems Manager (SSM) and gather detailed information about the instances that are […]

Best practices: Implementing observability with AWS

Best practices: Implementing observability with AWS

As customers deploy cloud-based solutions, they need to be able to ensure that systems are running smoothly, and that they can quickly remediate issues when they arise. Deploying observability at scale can be challenging for customers, especially when it involves tens and hundreds of services across their enterprise. Customers want best practice recommendations, guidance in […]

Monitor your Databricks Clusters with AWS managed open-source Services

Organizations rely heavily on cloud-based data processing and analytics platforms in today’s data-driven world to unlock valuable insights and make informed decisions. Databricks, a unified analytics platform, has emerged as a popular choice due to its seamless integration with Apache Spark, and its ability to efficiently handle large-scale data processing tasks. Many customers have implemented […]

How Hapag-Lloyd established observability for serverless multi-account workloads

This post is co-authored by Grzegorz Kaczor from Hapag-Lloyd AG and Michael Graumann and Daniel Moser from AWS. Introduction Establishing observability over the state, performance, health, and security posture of applications is key to successfully operating multi-account workloads in the cloud. As the number and size of workloads increases, finding and correlating all available information […]

How CloudWatch cross-account observability helps JPMorgan Chase improve Federated Data Lake Monitoring

AWS best practices guide customers to deploy their applications across multiple AWS accounts to establish security and billing boundary between teams and to reduce the impact of operational events. As enterprises grow and scale with tons of resources, customers often need a unified observability experience to help them search, visualize, and analyze their cross-account telemetry […]

Enhancing DevOps Practices with Amazon CloudWatch Application Performance Monitoring

Organizations seeking to deliver meaningful technology services at a higher velocity to their customers have incorporated application performance monitoring (APM) into their DevOps operating models. Software development and IT operations teams that have traditionally worked in their own silos now strive to work in concert to increase organizational agility. The transformation path is unique for […]