DevOps in a Nutshell
Open Source For You|September 2024
This overview takes you down the path of DevOps development, its benefits and drawbacks as well as the resources you may need to become an expert in this field. It explains the roles of a DevOps professional and why they are in demand.
S.V. Rohith
DevOps in a Nutshell

Suppose, say, you are trying to prepare a cake. You have the ingredients (your resources), an oven (your baking instrument), and a recipe (which is your goal). Like most people, you want to ensure that everything is prepared at the right moment, that the oven is heated to the correct temperature, and that all the components are well combined. You do not want a burnt or partially baked cake, do you?

This is similar to what DevOps is for IT operations and software development. It’s a method of working that unifies the two central departments into a single, efficient process — operations (the team that runs servers and infrastructure) and development (the team that produces code).

Before DevOps was conceived, a team of developers would create a new feature for an app and then pass it along to the operations team for deployment. This handoff was clumsy, similar to giving someone half-mixed cake batter when they need to know what’s in it. Things malfunctioned or fell apart from time to time. Developers and operations now collaborate from the outset, thanks to DevOps. They deploy, integrate, and test the code continuously. Their prompt and efficient resolution of issues leads to a more seamless and dependable release.

History of DevOps

Traditional software development and IT operations teams had difficulties, which led to the creation of DevOps. These groups functioned independently in the past, frequently resulting in misunderstandings and delays. Combining the terms ‘development’ with ‘operations’, DevOps first gained popularity in 2009. The Agile development principles, which emphasised iterative development and cooperation, led to the movement. The goal was to create a more cohesive and effective workflow by applying these concepts to operations.

この記事は Open Source For You の September 2024 版に掲載されています。

7 日間の Magzter GOLD 無料トライアルを開始して、何千もの厳選されたプレミアム ストーリー、9,000 以上の雑誌や新聞にアクセスしてください。

この記事は Open Source For You の September 2024 版に掲載されています。

7 日間の Magzter GOLD 無料トライアルを開始して、何千もの厳選されたプレミアム ストーリー、9,000 以上の雑誌や新聞にアクセスしてください。

OPEN SOURCE FOR YOUのその他の記事すべて表示
Amazon Bedrock: A Boon for the Financial Services Industry
Open Source For You

Amazon Bedrock: A Boon for the Financial Services Industry

Amazon Bedrock is a fully managed service that provides access to foundation models from top AI providers, enabling organisations to build and scale generative AI applications. It is specifically designed to bring AI solutions to the financial sector. Let's explore all that it can do...

time-read
9 分  |
December 2024
Quantum-Safe VPNs: The Future of Secure Communication
Open Source For You

Quantum-Safe VPNs: The Future of Secure Communication

As quantum computing continues to advance, it poses a significant threat to traditional cryptographic algorithms that secure our digital communications. Virtual private networks (VPNs), which rely heavily on encryption, are particularly vulnerable. Quantum-safe VPNs utilise post-quantum cryptographic algorithms to protect against quantum attacks.

time-read
3 分  |
December 2024
Popular Open Source Toolkits for Quantum Machine Learning
Open Source For You

Popular Open Source Toolkits for Quantum Machine Learning

Quantum machine learning is becoming increasingly popular due to its ability to solve the complex problems of the AI age. Here are a few open source libraries and frameworks that help with quantum computations.

time-read
5 分  |
December 2024
Quantum Computing: Harnessing Open Source for Innovation and Accessibility
Open Source For You

Quantum Computing: Harnessing Open Source for Innovation and Accessibility

We explore how open source initiatives are shaping the future of quantum computing, making it more accessible and driving innovation through collaboration.

time-read
9 分  |
December 2024
How Quantum Computing Differs from Classical Computing
Open Source For You

How Quantum Computing Differs from Classical Computing

Despite being in its infancy, quantum computing has numerous potential applications in modelling, cybersecurity, AI/ML, and other fields. But how do quantum and classical computing compare with each other? Let's find out...

time-read
4 分  |
December 2024
From Bits to Qubits: The Growth Story of Quantum Computing
Open Source For You

From Bits to Qubits: The Growth Story of Quantum Computing

Quantum computing may still be in the early stages of evolution, but its potential impact on everyday life is significant. We delve into the key concepts behind it, the reasons for its rapid growth, and how global advancements are shaping its future.

time-read
10+ 分  |
December 2024
Pytket: A Comprehensive Guide to Quantum Circuit Design
Open Source For You

Pytket: A Comprehensive Guide to Quantum Circuit Design

Pytket stands out as a powerful toolkit in the realm of quantum computing, offering a suite of features that cater to both researchers and industry practitioners. Its key strengths include optimisation, platform-agnostic support, flexible quantum circuit design and hybrid algorithm support. These features make Pytket a versatile tool for various quantum computing applications, from machine learning and cryptography to optimisation problems in industrial settings.

time-read
10+ 分  |
December 2024
Cirq: The Open Source Framework for Programming Quantum Computers
Open Source For You

Cirq: The Open Source Framework for Programming Quantum Computers

Explore the key features, capabilities, and impact of Cirq, an open source quantum computing framework developed by Google, on the quantum programming landscape.

time-read
4 分  |
December 2024
The Role of Open Source in Accelerating Quantum AI
Open Source For You

The Role of Open Source in Accelerating Quantum AI

Here's an overview of how open source frameworks are being utilised to build quantum machine learning models, including quantum neural networks and quantum kernel methods. The challenges and future directions in the quantum AI landscape are also discussed.

time-read
7 分  |
December 2024
Quantum Machine Learning: An Overview
Open Source For You

Quantum Machine Learning: An Overview

Quantum machine learning (QML) is a burgeoning field at the intersection of quantum computing and artificial intelligence. In recent years, the integration of quantum mechanics with machine learning algorithms has sparked substantial interest among researchers and technologists alike. Here's a quick look at the essentials of creating quantum algorithms for AI models, their practical use cases on open source platforms, and best practices for implementing these advanced algorithms.

time-read
7 分  |
December 2024