Mar 10
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1. Introduction 2. Codifying Observability in Images Start at the source: the machine image or container base. - Embed standardized agents directly into base images. - Enforce a baseline configuration for logs and metrics, ensuring every instance has observability “baked in.” - Leveraging a centralized secrets management solution for consistency and security. - Benefit: Teams can provision workloads that are immediately observable, without manual agent installation and configuration. - Demo: Workflow updating image repository, approving, and building images from those changes. 3. Codifying Observability Platforms Standardize how observability platforms themselves are configured. - Leverage codification to manage and provision both self-managed and SaaS based observability platforms. - Manage your monitoring stack as code. - Prevent manual configuration and relying on review and approval processes. - Benefit: Your observability platform can be rebuilt easily, ensuring reproducibility, and compliance without manual configuration drift. - Demo: Deploy a common self-managed observability platform in your environment. 4. Codifying Observability when Provisioning Bring observability into the provisioning layer using Infrastructure as Code. - Create reusable blueprints so every environment - dev, test, prod - has a consistent observability setup. - Ensure observability on new services and solutions are proactive and not reactive. - Example: When provisioning new service infrastructure, it’s automatically registered in your monitoring backend with tags, dashboards, and alerting rules. - Benefit: No surprises, no missing data, and a consistency across environments. - Demo: Deploying cloud hosted infrastructure with monitors, alerts, and dashboards simultaneously. 5. Orchestrating Observability Tie everything together at runtime. - Use orchestration tools to deploy observability components as jobs or workloads. - Implement service discovery and templated configuration, so new services automatically expose metrics and traces. - Simplify scaling of agents and collectors across new infrastructure and workloads. - Benefit: Observability scales with your infrastructure and services, without extra toil or manual setup. - Demo: Leveraging the orchestration platform to deploy agents automatically when new services and infrastructure are onboarded. 6. Closing For small teams, the challenge isn’t choosing the most powerful observability tool. It’s making observability simple, secure, and automatic. By codifying observability across images, provisioning, platform configuration, and orchestration, you: - Reduce manual effort and human error. - Ensure consistency across environments. - Improve security by minimizing ad-hoc configurations. - Empower developers and operators to focus on building. The key takeaway: Observability should be an outcome of your automation and not an afterthought. Speaker: Benjamin Lykins Subscribe to our YouTube Channel → https://www.youtube.com/c/HashiCorp?sub_confirmation=1 For hands-on interactive labs, visit HashiCorp Developer → https://developer.hashicorp.com/ HashiCorp, an IBM company, helps organizations automate hybrid cloud environments with Infrastructure and Security Lifecycle Management. HashiCorp offers The Infrastructure Cloud on the HashiCorp Cloud Platform (HCP) for managed cloud services, as well as self-hosted enterprise offerings and community source-available products. For more information, visit hashicorp.com. For more information → https://hashicorp.com LinkedIn → https://linkedin.com/company/hashicorp X → https://x.com/HashiCorp Facebook → https://facebook.com/HashiCorp