Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.
Many offerings tout observability. How is Honeycomb different? We have defined what Observability is and have built a tool to help modern Dev, DevOps and Site Reliability Engineering teams operate more efficiently. Because it’s all about delivering high quality code, maintaining reliability and getting precious time back.
We made a critical decision to provide a seamless, current view of your system (from logs to events and traces) in a single data store, regardless of how complex your architecture is. This means you no longer have to toil with multiple tools or stitched-together solutions – burning time as you address issues affecting users.
We also believe strongly that optimizing systems and debugging should not be difficult and draining, freeing up more time to ship new code. Our approach emphasizes efficiency and knowledge sharing, thereby elevating everyone’s game and ultimately business outcomes.
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