Observability as Code: Why You Should Use OaC

Key Takeaways

  • Observability as Code (OaC) uses version-controlled configuration files to automate and standardize monitoring setups across environments.
  • OaC improves team collaboration, security, and auditability by managing observability resources like code.
  • Teams can get started incrementally with OaC using tools like Terraform and Splunk, integrating observability into existing CI/CD workflows.

In the fast-moving world of CI/CD pipelines, microservice architectures, and container orchestration, software changes rapidly. What exists in a codebase today might be gone next week.

At this scale and speed, it’s impossible for development teams to manually track every line of code and every new piece of functionality. That’s why Infrastructure as Code (IaC) became a foundational DevOps practice: replacing manual provisioning with version-controlled, machine-readable configuration files to manage infrastructure.

The benefits of infrastructure as code:

So here’s the question: Why don’t we apply the same principles to observability?

What is Observability as Code (OaC)?

Just like IaC applies software development practices to infrastructure management, observability as code (OaC) does the same for observability.

Instead of creating dashboards, alerts, and integrations manually through observability platform UIs, OaC defines them in human-readable configuration files. These files can be:

With the need to interact directly with UIs or CLIs now eliminated, it’s easy to maintain, update, and deploy changes across environments.

Why use Observability as Code?

Observability as code helps teams overcome the inefficiencies and inconsistencies that sometimes result from traditional observability. It offers benefits similar to infrastructure as code:

Let’s break these down.

Shareability, standardization, and consistency

Code-managed observability resources can be packaged into reusable modules, allowing different services and different environments to share configurations. This means:

For resources like dashboards, charts, or alerts, consistency means you can easily interpret data across services, products, and teams. During incidents, the ability to find key metrics and compare them across environments means:

  1. Faster insight into root cause

  2. Decreased time to incident resolution

Additionally, with observability configurations version-controlled, you get:

Scalable, automated, and repeatable

With observability as code, configurations live alongside the codebases they monitor. No more scrambling through hundreds of alerts in a UI to adjust thresholds. Instead, engineers can:

All of this is especially valuable in microservice architectures, where each service exists in multiple environments (development, staging, production). OaC speeds up development and issue detection and resolution. That’s because now teams have the same insight and visibility into every environment, and potentially across every team.

Improved security

OaC also tightens observability-related security in several ways:

How to get started with Observability as Code

The most common tools for OaC are Terraform and OpenTofu.

These tools allow you to define observability resources in config files alongside your infrastructure. These files describe what you want your monitoring setup to look like — the dashboards, alerts, charts, integrations you need — and the tool creates and maintains them.

Integration tip: Extend Terraform with providers like the Terraform provider for Splunk Observability Cloud. This allows you to define and configure your observability platform using HashiCorp Configuration Language (HCL).

Once you initialize, preview, and apply your configuration, your observability resources are created automatically. The best part is that any future updates follow the same predictable process.

Want to learn more? See how to use Observability as Code with Splunk Observability Cloud and watch this tutorial below.

Best practices for adopting observability as code

Ready to put OaC into practice? Get going with these tips and best practices.

Start incrementally

Begin with your most critical alerts or dashboards. Expand gradually. You don’t need to convert everything at once.

(See how a tiered approach to observability helps prioritize investments, reduce complexity, and focus on what matters most.)

Create reusable patterns

Develop templates for common monitoring scenarios. This ensures consistency when adapted across different services and teams. It also reduces the time to onboard new services.

Integrate with development workflows

Observability deployment should be part of your standard CI/CD process. New code goes out with the monitoring code built-in — no code should be deployed to production without its observability resources.

Before deployment, ensure the pipeline verifies all changes are instrumented and observable.

Embrace collaboration

Store all configurations in source control with your app code. This enables team-wide collaboration through reviews and merge requests.

You can even designate observability champions to build expertise and enforce standards. That enables visibility and more opportunity across the business.

Prioritize security

Treat observability configurations like any other code. Centralize credential management and protect access tokens with the same rigor as your application logic.

Try OaC for yourself today

In a world of microservices and distributed architectures, observability as code tackles the complexity of scale. It improves:

If you’re new to Terraform, check out Terraform’s documentation and tutorials.

Are you already using Terraform? Explore our step-by-step guide to managing observability with Splunk Observability Cloud — or better yet, try it for yourself with this free 14-day trial of Splunk Observability Cloud. Begin your OaC journey today!

FAQs about OaC

What is Observability as Code (OaC) and how does it work?
Observability as Code (OaC) means defining your monitoring setup (like dashboards, alerts, and integrations) in version-controlled configuration files, so you can automate and standardize how you manage observability across all your environments.
Why should I use Observability as Code instead of setting up dashboards manually?
OaC helps you save time, reduce errors, and keep things consistent by letting you automate monitoring setups, easily track changes, and quickly apply updates across different teams and environments.
What tools do I need to get started with Observability as Code?
You can use tools like Terraform or OpenTofu to define your observability resources as code, and many observability platforms (including Splunk) offer integrations to support this approach.
Can I use Terraform with Splunk for managing my observability resources?
Yes, you can use Terraform with Splunk: there are specific Terraform providers that let you define, deploy, and manage Splunk observability resources directly from configuration files.
What are the main benefits of switching to Observability as Code for my team?
The main benefits are faster setup, better consistency, easier collaboration, improved security, and the ability to scale and update your monitoring quickly as your systems grow or change.

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