The cloud offers unprecedented access to resources that can be trivially provisioned via a web console, CLI, or API invocation. This power and flexibility comes at a cost: each additional resource is another moving piece that has to be managed and monitored in order to get a complete picture of your application’s health and performance. Modern APM tools such as DataDog – empowered further by the Datadog AWS integration – enable you to manage this complexity. How? By abstracting away the details of individual systems, components, and infrastructure dependencies and instead provide a unified view of what you care about: managing your application performance. 

Managing your application performance

To produce a complete view of your application’s performance, a modern application performance monitoring (APM) tool must be aware of and tightly integrated with the cloud infrastructure provider and managed services that your application is dependent on. DataDog APM is a modern, cloud-native APM platform that combines a lightweight reporting agent for gathering data about your application from the inside. The AWS integration allows you to slot neatly into AWS infrastructure and services that your application depends on. You cannot have one without the other if you are serious about managing the health and performance of your application.

AWS has a wide, deep, and mature suite of managed cloud services. As the oldest cloud provider, AWS has a large network of experts and professionals available to assist in scaling your product and team. Pay-as-you-go based pricing lets you defer decisions around capacity planning and shift deployment costs from CapEx to OpEx. Managed services allow you to focus on value-creating activities within your product rather than the minutiae of deploying, configuring, operating, and scaling foundational components such as databases, caches, and load balancers.

Why does the Datadog AWS link add such power to this foundation?

Because DataDog is a modern APM tool designed for the cloud era. It has made heavy investments in integration with the full suite of AWS products and services. The platform possesses amazing UI components that enable you to visualize your entire application health and performance easily and clearly. DataDog APM exposes a rich API, enabling you to aggregate and integrate health and performance intelligence into your own tools and workflows. On the whole, it is just a super versatile tool. Within application monitoring, it can monitor and help support the operational complexity of microservices. It is highly valuable for monitoring the health of CD pipelines. 

DevOps teams can leverage the Datadog AWS link in precise and powerful ways.

The tool’s logging and monitoring capabilities allows users to collect, classify, and evaluate data and logs produced by applications and infrastructure. The outcomes are varied, empowering teams to:

  • Achieve clarity and auditability of endeavors in application foundation; 
  • Evaluate how application and infrastructure operation affect consumer experience;
  • Acquire insight into the core cause of issues or unanticipated changes;
  • Generate signals based on goals needed 

AWS lets teams automate enterprise systems, scale easily, increase clarity, and pay as you go. To learn more about AWS ,check out 5 Mistakes You’re Making that are Costing You and 5 Common Misconceptions about AWS Auto Scaling. The Datadog AWS integration and many other combinations of cloud providers and application performance monitoring (APM) tools such as: New Relic & Google Cloud Platform, AppDynamics and Azure, and many other combinations like this, supercharge your cloud tech stack. Continuous Optimization technologies such as the Opsani CO engine require accurate and complete visibility of the application/service under optimization and its surrounding environment. Your cloud provider (ie: AWS) and APM tool (ie: DataDog) provide a turn-key solution for deploying and instrumenting your application such that it can immediately be optimized.

When combined with modern cloud-native orchestration technologies such as Kubernetes and engineering best practices such as continuous integration and deployment, cloud provider, APM tool, and Opsani enable you and your team to operate your applications at the highest performance and lowest cost at all times. This is the next step in DevOps and cloud-native software engineering and deployment: Continuous Optimization