Most engineering teams have several application performance monitoring tools. These include metrics and reporting, alerting, log management, APM, and more. When it comes to app performance monitoring, some of your top concerns may be how to support a rapid software delivery pipeline while also being certain your entire application is running smoothly, troubleshooting your code, sussing out and dealing with errors or failures, knowing how the cloud infrastructure and container technology you’re using are affecting app performance, and seeing how your end users are experiencing your application. As you make use of some of the newer cloud technologies and move to microservices or serverless architectures, your application performance monitoring process can become even more complex. This can be especially tough if your team works on tight deadlines, sorts through reams of data to get visibility, and has little or no tolerance for downtime or slow performance. For you and your team, observability is everything.

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Application performance monitoring focuses on measuring performance and availability of your applications, whether they’re monolithic, microservices, mobile, APIs, or a mixture. You may be using metrics-based tools, drilling down in a log management tool, looking more directly at code performance using APM, being notified of specific issues through alerting, understanding service dependencies using distributed tracing, or even examining application performance based on network indicators. If you are responsible for delivering an application that generates revenue, observability is everything to you. It’s not enough just to monitor your application. You also need to instrument your monitoring so you know whether your application is performing as expected and, if not, why. Ideally, you should tune your monitors and alerts so that you know well ahead of time when something has changed in your system that will lead to application performance issues. This enables you to troubleshoot proactively and fix brewing problems before they grow.

As you break up your monolithic applications and deliver more microservices, doing APM right will become critical. Taking advantage of this approach has a ton of benefits for your team and software. By delivering loosely-coupled software services, you can free yourself from having to hire full-stack developers. Instead, you can bring on professionals with skills and knowledge that align with your company’s functional areas. Another advantage is that you can deliver software more rapidly. For all of the benefits of this architectural approach, application performance monitoring can become much more complex if you don’t get ahead of it. Monitoring application performance in a microservices environment means you must handle more moving pieces, it’s more difficult to instrument your monitoring systems, and troubleshooting issues may be more time consuming than with your monolithic application. According to a recent survey, the vast majority of engineers who deliver mostly microservices or push code at least once per day spend over half of their time troubleshooting software issues.

Use Cases

Alert on performance

  • Alert on unacceptable latencies
  • Know when resource utilization is too high
  • Warn users when services need attention

Understand user behavior

  • Identify customer usage patterns
  • Respond to customer support issues
  • Detect abuse and fraud

Troubleshoot proactively

  • Explore brewing problems
  • See app performance root cause
  • Understand and address dependencies

No matter where you are on your architecture journey, Scalyr helps you do application performance monitoring the right way. We give you broad coverage for all of your application types, parse your logs intelligently regardless of how or in what language they’re written, and centralize and organize them for you alongside logs from your servers, databases, container environment, network, and any components that you want to observe so that you can measure and troubleshoot accurately and efficiently.

We also built Scalyr for engineers who require fast performance, even when they’re searching across very large data sets. Our customers report being able to search their data orders of magnitude more quickly than they could in their traditional tools. Your team can find in less than one second in Scalyr what takes them 15-30 minutes in traditional log management tools. This performance improvement is not just a little better; it’s behavior-changing better. When your engineers can proactively explore brewing issues without penalty, the team will be able to find and fix small problems before they grow, resulting in a dramatic improvement in efficiency.

Why Scalyr


Go fast. Blazing-fast. Ingest logs and alert on them in real time. Perform split-second searches and visualizations, across your entire environment.

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Skip the learning curve. Point and click to search, pivot or visualize your data.  No query language expertise required.

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Using our time-series database and massive compute capacity, Scalyr will easily scale with your systems.  You also won’t break the bank as you grow with us.

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“One of the things I really value in Scalyr is the responsiveness. I can give it a really terrible-looking query with a bunch of regular expressions, and somehow it still comes back in under a second.”

Elena Tatarchenko, Senior Engineering Manager, Oracle

“We push many hundreds of gigabytes of logs to Scalyr, and I need to search back a few days sometimes, a month even. The fact that I can still do that is just great.”

Jeff Watts, Senior Engineering Manager, Periscope Data

“Asking how Scalyr helps is like asking how breathing helps with your life.”

Tim Kröger, Head of Engineering, Zalando

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