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HOW TO INVESTIGATE 7 COMMON PROBLEMS IN PRODUCTION

By Michael Dawson|Published Tue, 21 Mar 2023 07:00:00 +0000



Leveraging the experience shared in the Node.js reference architecture can help
you minimize problems in production. However, it's a fact of life that problems
will still occur and you need to do problem determination. This installment of
the ongoing Node.js Reference Architecture series covers the Node.js reference
architecture team’s experience with respect to how you can investigate common
problems when they do occur.

7 Common problems include:

 * Memory leaks
 * Hangs or slow performance
 * Application failures
 * Unhandled promise rejections or exceptions
 * Resource leaks
 * Network issues
 * Natives crashes

Read the series so far:

 * Part 1: Overview of the Node.js reference architecture
 * Part 2: Logging in Node.js
 * Part 3: Code consistency in Node.js
 * Part 4: GraphQL in Node.js
 * Part 5: Building good containers
 * Part 6: Choosing web frameworks
 * Part 7: Code Coverage
 * Part 8: Typescript
 * Part 9: Securing Node.js applications
 * Part 10: Accessibility
 * Part 11: Typical development workflows
 * Part 12: Npm development
 * Part 13: Problem determination


PREPARING FOR PRODUCTION PROBLEMS

Investigating problems in production most often requires tools and processes to
be in place and approved in advance. It is important to define the tools you’ll
rely on and to get approval for those tools to either already be in place or to
be installed when needed. Production environments are often tightly controlled,
and doing this in advance will speed up your ability to get information when
problems do occur.

The team typically used one of the following to capture a set of metrics
regularly in production:

 * Existing application performance management (APM) offering
 * Custom solution leveraging available platform tools (for example, those
   provided by a Cloud provider or Red Hat OpenShift)

You can read more about the suggested approach for capturing metrics in the
metrics section. When those metrics have identified there is a problem, it’s
time to kick off the problem determination process and try to match the symptoms
to one of the common problems. 


APM OR CUSTOM SOLUTION

From the discussion we had within the team, one of the key factors of whether
you want to use an APM or custom solution is whether you are operating a service
or developing an application that will be operated by your customers.

If you are operating a service where you own all deployments an existing
application performance management (APM) solution can make sense if budget is
not an issue. They offer the advantage of requiring less up front investment and
leveraging a solution designed to help investigate problems. The team has had
success with using Dynatrace, Instana, and NewRelic.

If you develop applications that will be operated by customers, adding a
dependency on a specific APM for problem determination is not recommended. The
cost may be an issue for some customers, while others may already have
standardized on a specific APM.

Whichever you choose, you’ll want to be ready to:

 * Instrument the application in order to capture: 
   * Logs
   * Metrics
   * Traces
 * Generate and extract heap snapshots.
 * Generate and extract core dumps.
 * Dynamically change log levels.

The implementation section of the problem-determination section of the Node.js
reference architecture has some good suggestions on how to do these based on our
experience.


INVESTIGATING SPECIFIC PROBLEMS

Once you have your chosen approach in place (APM or custom) and your metrics
start reporting an issue, the general flow the team discussed and agreed on for
problem determination was to:

 1. Match the symptoms reported by traces, metrics, logs, and health checks to
    one of the common problems.
 2. Follow a set of steps from easiest to hardest to confirm/refute the
    suspected problem.
 3. When confirmed, capture additional information. 
 4. Repeat as necessary until you’ve narrowed it down to the right problem.

I won’t repeat the content from the common problems section of the problem
determination section in the reference architecture. But each problem includes:

 * Symptoms - how to identify the problem from the traces, metrics, logs, or
   health checks.
 * Approach - the steps and tools used by the team to investigate and capture
   more information for that problem.
 * Guidance - guidance and things to look out for when applying the approach
   suggested.

The  common problems section covers the following problems based on the team's
experience:

 * Memory leaks
 * Hangs or slow performance
 * Application failures
 * Unhandled promise rejections or exceptions
 * Resource leaks
 * Network issues
 * Natives crash

The information in that section for each of those problems should help you
identify what problem your application is encountering based on the symptoms and
then investigate to get more information as to what might be causing it to
occur.


COMING NEXT

I hope that this quick overview of the problem determination section of the
Node.js Reference Architecture, along with the team discussions that led to that
content, has been helpful and that the information shared in the architecture
helps you in your future problem determination efforts.

We plan to cover new topics regularly as part of the Node.js reference
architecture series. Until the next installment, we invite you to visit the
Node.js reference architecture repository on GitHub, where you will see the work
we have done and future topics. 

To learn more about what Red Hat is up to on the Node.js front, check out our
Node.js page.

The post How to investigate 7 common problems in production appeared first on
Red Hat Developer.







Read the articleView more blog posts



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Timestamp: Mon Mar 20 16:07:04 UTC 2023SHA: headVersion: 1.192
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