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.
Bu hikaye Open Source For You dergisinin September 2024 sayısından alınmıştır.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
Already a subscriber ? Giriş Yap
Bu hikaye Open Source For You dergisinin September 2024 sayısından alınmıştır.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
Already a subscriber? Giriş Yap
Helgrind: Detecting Synchronisation Issues in Multithreaded Programs
Let's explore how Helgrind can be used to detect and debug multithreading issues with the help of a multithreaded C program.
The Perfect Process of Booting a PC
Booting a PC seems as simple as eating a cake. But are you aware of all that goes on behind-the-scenes to bake a delicious cake or seamlessly boot a PC?
Exploring eBPF and its Integration with Kubernetes
eBPF, a game-changing technology that extends the capabilities of the Linux kernel, offers significant advantages for Kubernetes networking. It also greatly improves Kubernetes observability by capturing detailed telemetry data directly from the kernel. Read on to find out how its integration with Kubernetes has immense benefits.
Deploying Generative AI LLMs on Docker
Built on massive datasets, large language models or LLMS are closely associated with generative Al. Integrating these models with Docker has quite a few advantages.
Containerisation: The Cornerstone of Multi-Cloud and Hybrid Cloud Success
Open source containerisation software provides the flexibility, cost-effectiveness, and community support needed to build and manage complex multi-cloud and hybrid cloud environments. By leveraging this software, businesses can unlock the full potential of multicloud and hybrid cloud architectures while minimising vendor lock-in risks.
From Virtual Machines to Docker Containers: The Evolution of Software Development
Containerisation and Kubernetes have eased software development, making it faster and better. Let's see where these are headed, looking at trends that are making life easier for developers.
India's Leap in Supercomputing: Innovating for Tomorrow
As India strides towards self-sufficiency in supercomputing, embracing this evolution isn't just an option-it is pivotal for global competitiveness and technological leadership.
SageMath: A Quick Introduction to Cybersecurity
In the previous articles in this SageMath series, we delved into graph theory and explored its applications using SageMath. In this seventh article in the series, it is time to shift our focus to another crucial subfield of computer science: cybersecurity and cryptography.
Efficient Prompt Engineering: Getting the Right Answers
OpenAl's GPT-3 and GPT-4 are powerful tools that can generate human-like text, answer questions, and provide insights. However, the quality of these outputs depends heavily on how you frame the input, or prompt. Efficient prompt engineering ensures you get the right answers by designing inputs that guide the AI towards relevant, clear, and useful responses. Let's find out how to craft effective prompts with examples.
Analysing Linus Torvald's Critique of Docker
This article looks at Docker's security flaws, particularly its shared-kernel model, and contrasts it with traditional VMs for better isolation. It discusses Linus Torvalds' concerns, explores mitigation techniques, and proposes a roadmap for building a more secure containerisation platform using hardware-assisted virtualisation, true isolation, and a robust orchestration layer.
