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Leveraging Infrastructure as Code for Data Engineering Projects: A Comprehensive Guide

DZone

Data engineering projects often require the setup and management of complex infrastructures that support data processing, storage, and analysis. IaC enables treating infrastructure setups as version-controlled code, allowing for automated provisioning, deployment, and configuration management.

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Path to NoOps part 2: How infrastructure as code makes cloud automation attainable—and repeatable—at scale

Dynatrace

Infrastructure as code is a way to automate infrastructure provisioning and management. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Transparency and scalability. Infrastructure-as-code.

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How low-code/no-code AutomationEngine advances automated workflows

Dynatrace

But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise. And operations teams need to forecast cloud infrastructure and compute resource requirements, then automatically provision resources to optimize digital customer experiences.

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Manage your monitoring as code with Dynatrace’s HashiCorp Terraform integration

Dynatrace

HashiCorp’s Terraform is an open-source infrastructure as a code software tool that provides a consistent CLI workflow to manage hundreds of cloud services. Per HashiCorp, this codification allows infrastructure changes to be automated while keeping the definition human readable. What is monitoring as code?

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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

that offers security, scalability, and simplicity of use. focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. Python code also carries limited scalability and the burden of governing its security in production environments and lifecycle management.

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How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.

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Enhancing Resiliency: Implementing the Circuit Breaker Pattern for Strong Serverless Architecture on AWS

DZone

Serverless architecture is a way of building and running applications without the need to manage infrastructure. You write your code, and the cloud provider handles the rest - provisioning, scaling, and maintenance. Scalability: Serverless services automatically scale with the application's needs.