Introduction to Devops:
Ever since its introduction, DevOps has led to a paradigm shift in the software
industry, resulting in enterprises adopting the tech to make their software development
process faster, more cost-effective, and resilient. However, to make this possible,
DevOps relies on various practices like automation, Continuous Integration and
Continuous Delivery/Deployment (CI/CD), configuration management, etc. Apart from these,
DevOps also makes use of Cloud Computing for a vast majority of operations.
Role of Cloud in DevOps:
Cloud is an integral aspect of DevOps that aids in just about every step of its
successful operations. From enabling improved collaboration to allowing the effortless
building of experimental test environments for quickly prototyping solutions, and more,
Cloud Computing plays a vital role in the hassle-free and simple implementation of
Hence, organizations today are rapidly adopting secure Cloud platforms, like AWS,
Azure, etc. along with DevOps, for enhanced security, effortless resource accessibility,
unparalleled collaboration, and increased efficiency and quality of the final
Google Cloud Platform (GCP)
is one such high-performance infrastructure for cloud computing used by Cloud DevOps
engineers to build software delivery pipelines, deploy and monitor services, and manage
and learn from incidents.
This article elaborates on the correlation between DevOps and Google Cloud Platform
(GCP) and the role it plays in DevOps operations.
What is Google Cloud Platform(GCP)?
Among the various cloud platforms available, Google Cloud Platform (GCP), by Google, is
one of the largest computing networks that help organizations implement
business-critical IT projects to grow and thrive. It is a suite of cloud services hosted
on Google’s infrastructure that are intelligent, secure, and highly
GCP consists of a set of physical assets and virtual resources that are contained in
Google's data centers around the globe. Moreover, it provides a serverless environment
to connect cloud services with a large focus mainly on the microservices
With GCP, organizations get an end-to-end hosted, scalable cloud platform, unlike its
competitors like Amazon Web Service and Microsoft Azure that guarantees a high-quality
development environment for DevOps applications. Other beneficial features of Google
Cloud Platform include:
- On-demand services.
- Broad network access.
- Rapid elasticity.
- Measured services.
- Resource pooling.
- Better UI for improved user experience.
What is Google Cloud Platform(GCP) DevOps?
Google Cloud Platform has become a prominent choice for Cloud DevOps engineers as it
offers support to several DevOps tools that make the DevOps process faster and easier.
It supports DevOps efforts by providing services to build, store, and deploy
Furthermore, it ensures apps are built with better and long lead times and development
cycles. GCP is a reliable service that embraces and enables DevOps and helps it achieve
its objective of streamlining communication within teams, accelerate development,
identify and fix bugs and issues, and iterates without delays.
Steps to Adopt DevOps on Google Cloud Platform:
Here are the various steps that ensure the successful adoption of DevOps on the Google
- Software Release Workflow: Follow a GCP code pipeline
that involves Continuous Integration and Continuous Delivery for fast and
reliable delivery of features and updates. It builds, tests, and deploys code on
the system every time changes and release process models are
- Build & Test Code: Build code and test it to produce
software or feature packages that are ready to deploy, with the help of GCP
code. It follows a continuous process, where multiple builds are processed
- Automate Deployment: GCP code deploy is used to automate
deployment to any instances or on-premises servers. This makes it easier to
rapidly release new features and avoid downtime during application
- Unify CI/CD: GCP Codestar is used for CI/CD, as it helps
quickly develop, build, and deploy applications to the GCP dashboard. It offers
a specified user interface for the efficient management of software development
activities in one place and faster set-up of the entire CD
- Build & Deploy Microservices: GCP offers highly
scalable, high-performance Container Management services, Google Elastic
Container service, for the development and deployment of microservices
architecture using containers and serverless computing. This container
management service supports Docker containers, enabling efficient execution of
- Provision, Configure & Manage: GCP Cloud formation
enables teams to create and maintain resources, perform provisioning, and
maintain updates. Moreover, it creates templates and models to monitor and
enforce infrastructure compliance.
Apart from these steps, the team needs to integrate consistency, Cloud monitoring,
trunk-based development, version control systems into the process and use Cloud Build,
Cloud Registry, etc. to ensure successful implementation and adoption of DevOps on
Google Cloud Platform DevOps Services:
DevOps services that can be deployed on GCP are:
- Google App Engine: A Platform as a Service (PaaS), Google
App Engine is a cloud computing platform for developing and hosting web
applications. Designed to scale automatically based on the application's traffic
and consumed resources during code execution, this DevOps service is highly
flexible and completely manageable. It supports a wide range of language stacks,
like Python, Java, Node.JS, .NET, Ruby, Go, or PHP.
- BigQuery: This is a cloud-based big data analytics web
service used for processing extensive read-only data sets. BigQuery helps
predict business outcomes easily and generate reports, securely.
- BigTable: A scalable NoSQL database, BigTable offers
various features like high throughput with low latency, no-downtime cluster
resizing, and flexible automatic replication for workload
- Google Cloud Datastore: A document-oriented cloud
database, Google Cloud Datastore offers features like ACID transactions, queries
like SQL, indexes, etc. It automates sharding and replication to create a highly
available and reliable database that scales automatically to manage your
- Kubernetes Engine: An effective DevOps tool, Kubernetes
Engine helps better organize workloads within a cluster. It automates
application deployment, scaling, and management through Kubernetes containers
and dynamically adjusts the CPU and memory requests in response.
- Cloud Console: It provides a detailed view of each DevOps
element in the cloud and enables teams to deploy, scale, and identify production
issues in a simple web-based interface. It is an efficient GCP service that
enables teams to easily manage the cloud-based delivery
- Google Compute Engine: With Google Compute Engine, the
secure and customizable compute service, teams can deliver virtual machines
on-demand and run workloads on Google's physical hardware. It offers predefined
and custom machine types, transparent maintenance, and the highest compliance
- Google Deployment Manager: Another prominent GCP service
that enables users to specify the resources needed for the application in a
declarative format. This is enabled through yaml, Python, or Jinja2 templates
that parameterize the configuration and allow the reuse of common deployment
Working of DevOps on Google Cloud Platform:
As stated earlier in the article, GCP offers various services for the successful
functionality of DevOps for building, storing, and deploying apps. These involve various
solutions that further enable the GCP DevOps services. These are:
- Infrastructure as Code: Infrastructure as Code is an
important GCP service that helps realize the GCP DevOps goals by automating
repeatable tasks. It helps the development and operations team to address the
core functionalities of the application without dealing with repetitive tasks
like provisioning, configuration, and deployments. Moreover, it helps in easy
creation, updates, and removal of resources throughout
- Configuration Management: GCP DevOps enables
configuration management to automate deployment, architecture, and compliance
for all servers. It is a prominent functionality that helps teams perform
codification of system configurations and code reviews, develop CI/CD pipelines,
and resolve issues before they enter the production
- Continuous Integration: Like DevOps, Continuous
Integration has a vital role in GCP, as it helps scale without any restrictions
of maintenance and improvement of efficiency and productivity of
- Continuous Delivery: As GCP DevOps is largely dependent
on Continuous Delivery, it uses it to ensure end-to-end automation from source
to production, which further ensures rapid application or feature shipping, risk
reduction, quality improvement, and easy scalability.
How Google Cloud Platform Can benefit DevOps?
From offering improved performance and security to dedicated continuous expansion,
redundant backups, live migration to virtual machines, and more, there are various
benefits of implementing DevOps on Google Cloud Platform (GCP). A few of these
- Rapid Start: Offers ready-to-use IoT services, which prevents the
need to set up or install the software.
- Built to Scale: Uses GCP services to manage a single instance and
scale up to thousands, which further helps make flexible compute
- Fully Managed Services: Get fully managed services leveraging the
- Automation: Uses automation to build faster and more efficiently
and automate tasks and processes like development, testing, and deployment
- Secure: It uses user permission and policies to limit user access
to particular services.
Google Cloud Platform Vs. AWS:
Google Cloud and AWS are two prominent Cloud platforms, competing against one another
to be the best. Though, both are highly functional and beneficial, here is a
side-by-side comparison of the two to help you make an informed decision based on your
Google Cloud Platform (GCP)
Amazon Web Services (AWS)
- A suite of Google's public cloud computing resources and
- It is open-source and supports portability.
- Relies on partners such as Egnyte for Hybrid support.
- It has its tiered networking framework.
- Supports multiple tools that make DevOps implementation
- Offers various environments like IaaS, PaaS, and Serverless
computing, Google Cloud storage, powerful data analytics,
- Makes applications faster and more reliable.
- Secure, cloud service platform developed by Amazon.
- Open and flexible with enterprise-friendly services.
- Offers managed virtual tape infrastructure for a hybrid
- It has no tiered networking framework.
- Suitable for projects that need high computing power.
- Offers a range of automated functionalities including
configuration, scaling, setup, and more.
- Allows quick Cloud access with limitless capacity.
DevOps, along with Cloud, is effectively reshaping the modern software and application
development landscape and helping enterprises create shared and automated workflows and
utilize the full potential of a Cloud infrastructure. Over the past few years, it has
become an effective operating model that automates the tasks of both developers and
operations teams, using various best practices to increase organizations’ ability
to deliver quality products and services at a high velocity.