monitoring

As you shorten your software delivery schedule and push code more frequently, you and your team will find opportunities to improve all stages of your development lifecycle, including using automated tools, performing continuous testing, and removing bottlenecks to productivity. Even with these improvements, you will find that software flaws sometimes don’t appear until they have been pushed live. This means that you and your team need to develop a competency around monitoring in production. Once you have software issues in production, any urgency you might have felt during development and testing takes on a whole new meaning. And if your application generates revenue, you have seconds or minutes to identify, troubleshoot, and fix problem code. If fixing issues is relatively straightforward, the time it takes to troubleshoot can be highly variable as you search through your log data to determine what the problem is. You need your observability tools to be snappy and work the way you work so you can shorten this discovery period and get to the fixing part quickly. In other words, you need to shorten your “mean-time-to-what-the-heck.” If speed is critical for your business, Scalyr is the right platform to help you monitor in production.

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Monitoring in production means developing systems and processes to identify and troubleshoot problems that occur in your production systems. Production issues can arise from a variety of factors, ranging from database resource utilization to autoscaling problems to load balancing that isn’t working to flawed code – and more. If your application is customer facing and generates revenue, then production issues can mean the difference between attracting users, consummating sales and growing your top line, or losing business quickly. Your observability tools are everything, and they need to move at the pace that you’re moving, especially when it comes to monitoring production code.

By turning your software into loosely-coupled services, you have created greater freedom and decentralization for your organization. This means your developers can work independently or in small teams on discrete software services, and they can release code on the most appropriate schedule for your business. Some services will be released once a week, others multiple times per day, and yet others according to their individual requirements. The volume of services, the addition of containers, orchestration tools, or serverless platforms, not to mention the varying release cadences, are enough to worry any software development leader. One of the most powerful processes you can implement is thorough, accurate, and efficient monitoring of your production systems.

Use Cases

Monitor in production

  • Identify production problems quickly
  • Troubleshoot infrastructure and software issues
  • Identify error causes and dependencies

Fix production issues fast

  • Reduce investigation time
  • Fix code quality
  • Identify resource problems

Inform your logging

  • Assess logs across all dev stages
  • Rewrite logs so they’re more effective
  • Increase developer accountability

Having a solid regimen for monitoring in production involves writing consistent logs in your code and aggregating those along with logs from the infrastructure and services you use to run your software that can affect your application’s performance. It also requires a thoughtful monitoring, metrics, and alerting strategy for your production systems – one that is tuned to identify real problems, ideally before they are full-blown, and that doesn’t generate meaningless alerts. Moreover, your regimen depends on thoughtful organization, including logging in software development and testing, consistent naming of components such as services, containers, pods, and so on; standardization across units of measurement (such as seconds versus milliseconds); and data uniformity, such as in log timestamps.

Another core element to successful monitoring in production is choosing the right observability solution, ideally one that works they way you do. Scalyr enables engineers who are on the front line of software delivery to monitor production software efficiently and accurately. We start by centralizing and organizing your logs and making it easy to tag and identify them by their stage in the software delivery cycle, whether development, testing, or production. We also help you see those logs in context so you can find what resources or user behavior contributed to a software exception. From there, we help your team members move at the pace they need because they can troubleshoot across large data sets with no performance penalty.

Our customers tell us they can search their logs orders-of-magnitude faster than they could in their traditional tools, which is critical when every second counts in production environments. When your team can move this fast, they solve production problems more quickly, solve more problems overall, and free up their time to develop new functionality. Finally, because all of your engineers can use Scalyr concurrently with no performance penalty, usage throttling, or extra cost, they can get ahead of software issues during the dev and test cycle, troubleshoot more efficiently during production, and become more accountable to your application’s overall success.

Why Scalyr

Fast

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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Simple

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

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Scalable

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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