DEVOPS DEVELOPMENT AND OPERATIONS IEEE PAPER 2022
The primary DevOps goal is to optimize the flow of value from idea to end user. Obviously, there's a cultural change that must happen for a company to be successful with DevOps, so culture is a big focus, but the DevOps goal is to make the delivery of value more efficient and effective
DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality. DevOps is complementary with Agile software development; several DevOps aspects came from the Agile methodology.
DevOps practices
Continuous development. This practice spans the planning and coding phases of the DevOps lifecycle.
Continuous testing.
Continuous integration (CI).
Continuous delivery.
Continuous deployment (CD).
Continuous monitoring.
Infrastructure as code.
DevOps lifecycle is defined as a combination of different phases of continuous software development, integration, testing, deployment, and monitoring. A competent DevOps lifecycle is necessary to build superior quality software through the system
Business Intelligence Adoption of DevOps Methodologies
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Moreover, the communication between the DevOps teams is they have, with reference to the DevOps models and its maturity levels, We will analyze their characteristics in the DevOps
Hardening with Scapolite: a DevOpsbased Approach for Improved Authoring and Testing of Security-Configuration Guides in Large-Scale Organizations
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This paper describes our experiences with our DevOpsinspired approach for authoring, maintaining, and testing security-configuration guides. We want to share these experiences
DEVOPS PRACTICES FOR SOFTWARE DEVELOPMENT AND CONSULTING FIRMS
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DevOps is still ambiguous and difficult for software companies to adopt. Therefore, this paper focuses on how DevOps adoption and implementation of DevOps practices are important DevOps by reviewing the fundamentals of DevOps AWS Cloud and you will learn about the different AWS DevOps AWS has a rich offering of tooling for various aspects of DevOps it
MLOps for evolvable AI intensive software systems
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Therefore, we propose an extension of the DevOps pipeline, adapted to MLOps. In this work we aim at highlighting the diversification yet affinity when developing both software and ML
A Vision for Explainability of Coordinated and Conflicting Adaptions in Self-Adaptive Systems
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, we define DevOps engineers as the target group for cluster and found out that DevOps engineers consider Kubernetes’ Next, we plan to conduct an expert survey on DevOpsIn this paper we are looking to discover the role of microservices software architecture in DevOps . It is found that adopting DevOps carry many challenges/issues like organizational
Analyzing Effectiveness of Security by design Model in a Cloud application development lif ecycle which uses IAC (Infrastructure As Code)
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by using DevOps . The agile development process promises the organization a cloud with all needed features in reduced time and costs in the development process. But using DevOps
Features, Scenarios, and Stories
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: Test-driven development, and Code reviews; DevOps and Code Management: DevOps automation 15 2022/06/01 Final Multi-skilled DevOps team Code management and DevOps
Agile Software Engineering: Agile methods, Scrum, and Extreme Programming
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: Test-driven development, and Code reviews; DevOps and Code Management: DevOps automation 15 2022/06/01 Final Multi-skilled DevOps team Code management and DevOps
Software Products and Project Management: Software product management and prototyping
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: Test-driven development, and Code reviews; DevOps and Code Management: DevOps automation 15 2022/06/01 Final Multi-skilled DevOps team Code management and DevOps
Automated Triage of Performance Change Points Using Time Series Analysis and Machine Learning
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Performance regression testing is a foundation of modern DevOps processes and pipelines. Thus, the detection of change points, ie, updates or commits that cause a significant change
Introduction to software engineering
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DevOps and Code Management: Code management and DevOps automation 12. Case Study on Software Engineering Code management and DevOps
AI-Enabled Life Cycle Automation of Smart Infrastructures
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we first analyze solutions for development and operation ( DevOps ) automation 1) DevOps automation: The modern pipelines supporting remote updates are automated by DevOps On the top level, proof of compliance (PoC) is simple. A contract or a standard requires you to do something during development in our case, the development of safety-critical systems
DATAMINING AND ITS APPLICATIONS
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Dhaya Sindhu Battina, Devops A New Approach To Cloud Development Testing, International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:
Microsoft Azure Virtual Desktop Guide
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and other Microsoft services and more than 6 years of experience with Azure infra design, deployment, and automation, as well as PowerShell, ARM, Terraform, and Azure DevOps . He
TAXONOMY OF AI
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The AI Periodic Table connects through to another framework of full-stack DevOps so that it ends up completing the motor and real-world feedback mechanisms, functions and
A Postmortem of {SRE} Interviewing
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Candidate Be short and concise when it’sa straightforward answer Provide as much detail as you can concisely Ask clarifying questions if you’re not sure of what you’re being asked
TowardsSupporting the Generation of Infrastructure as Code Through Modelling Approaches Systematic Literature Review
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The present paper aims at presenting a structured literature review for what concerns the following aspects: Infrastructure as a Code (IaC) languages, modelling approaches supporting
BMC+ Fuzz: Efficient and Effective Test Generation
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A key requirement for DevOps is to integrate testing into the software build process itself. effective testing technique for DevOps . Another key requirement of DevOps is quick turn around This book is divided into four main parts with each designed to expand from the previous. More subjects are introduced as you go along; some require further reading, and others
ASSIST-IoT Technical Report# 9
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is spread out, the components have clear functionality boundaries, and if components can be potentially reused for other applications: microservices extract the full potential of DevOps
One-Size-Fits-None: Overhauling JADC2 to Prioritize the Warfighter and Exploit Adversaries Weaknesses
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B CLARK, DAN PATT 2022 media.hudson.org.s3.amazonaws DevOps process like that used by software creators to tailor programs to specific use cases and contexts relevant to operations. The DevOps hardware, the DevOps model is becoming
An Overview of Scopes and Challenges in the Field of Ethical Hacking
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Ethical hacking is the process of recognizing the security issues and vulnerabilities in the system or computer network. A Hacking be ethical or unethical. The ethical hacker has a
DevOpsUse: A Community-Oriented Methodology for Societal Software Engineering
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We therefore augment the collaborative notion of DevOps as automation-driven cooperation between developers and operators by the notion of end users. The goal of this extension to
CLOUD COMPUTING: A NEW REVOLUTION IN INFORMATION TECHNOLOGY SECTOR
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‘Cloud’is a set of different types of hardware and software that work collectively to deliver many aspects of computing to the end-user as an online service. Computing is being
On the Benefits of the Accelerate Metrics: An Industrial Survey at Vendasta
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Accelerate: The science of lean software and devops : Building and scaling high performing technology organizations. IT Revolution. Florian Auer, Valentina Lenarduzzi, The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the
Identification and Prevention approaches for Web-based Attacks using Machine Learning Techniques
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Identification and prevention from web-based attacks is the need of any organization which deals with the important information about their employee and the work done by the
On the accuracy of bot detection techniques
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Developers use a number of tools to reduce their workload and increase productivity such as versioning software like Git, social coding platforms such as GitHub and GitLab, DevOps
Google Dataflow orchestration using TOSCA in the hybrid cloud
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RADON on uurimisprojekt, mille eesmärk on t tada välja mudelipõhine DevOps raamistik serverita andmet tluse jaoks. Google Dataflow TOSCA komponendid loodi
Continuous Requirements Engineering in Sociotechnical Systems: Challenges and Solutions
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However, many problems in this area have been reported and discussed when handling requirements in agile and DevOps environments , . And these are not the only challenges
A REVIEW ON CROP YIELD AND DEMAND PREDICTIVE USING MACHINE LEARNING
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In most developing countries like India, agriculture plays a significant role in the nation’s economy. Agriculture is the one which gave birth to civilization. India is an agrarian country and
IMPACT OF ARTIFICIAL INTELLIGENCE ON TALENT ACQUISITION
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Artificial Intelligence (AI) is the order of the day; there is no dimension of life (including organizational ecosystems) that has not been permeated by AI. While AI is making its mark in
PrivacyDates: A Framework for More Privacy-Preserving Timestamp Data Types
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Case studies of application software data models indicate that timestamps are excessively used in connection with user activity. This contradicts the principle of data minimisation which
A Prolegomenon for Improving Observability in iRODS
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Hence reliability engineering and DevOps are increasingly looking at observability as a means to provide better and more reliable and resilient services. With distributed data,
A REVIEW ON INCREASEING THE ACCURACY OF INTRUSION DETECTION SYSTEM (IDS)
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In more recent times, there has been an increase in the number of people using computers, as a result of which there is a widespread use of the Internet. The use of the Internet enables
The Tech Company
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plementary development of new concepts such as DevOps for organizing work, shaping work But how exactly DevOps concepts and practices are implemented as well as how DevOps Vielfach wird in Unternehmen daher auch über Arbeitsformen wie Scrum oder DevOps diskutiert, die viel zu häufig jedoch ungeachtet der Rahmenbedingungen eingeführt werden.
Trust by Design: rethinking technology risk
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The technology used by our insurance client to manage projects is Azure DevOps . It is used for Using PowerBI or the standard Azure DevOps dashboarding decisions regarding risk
Semantic Abstraction and Modelling of Heterogeneous Application Deployments
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In IaaS, the DevOps user should write the deployment model for provisioning the infrastructure resources as optimally as possible which is not an easy task. Indicatively, the user should
Fabric Fault Detection Using Deep Transfer Learning
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Defect Detection in modern material assembling is a fundamental requirement for which productive practical arrangements must be sought. In ongoing years, a few distinct techniques
SOFTWARE TESTING STRATEGY UTILIZING LEAN CANVAS MODEL
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To be granted the scientific degree of Doctor of Science (Ph. D.), the present Doctoral Thesis has been submitted for the defence at the open meeting of RTU Promotion Council on 21 with large German clients on their cloud adoption and how to apply DevOps concepts. The DevOps movement revealed the benefits of developers and operations working tightly
MODERN CLOUD INFRASTRUCTURE: SERVERLESS COMPUTING
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the results of the enterprise largely depend on their volume and the level of their accounting. Therefore, a comprehensive analysis is of great importance for the effective management of
Waste Management Solution for Smart City using Internet of Things
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Smart city has to be monitored with automatic garbage management which is necessary at large scale. In this scenario, we have developed a model to carry out the garbage monitoring
On the Way to Microservices: Exploring Problems and Solutions from Online QA Community
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architecture (MSA), as a novel architectural style, has become particularly popular in cloud-based Software-as-a-Service (SaaS) offerings, together with the spread of DevOps practices
Clustering Quality of a High-dimensional Service Monitoring Time-series Dataset
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Our study evaluates the quality of a high-dimensional time-series dataset gathered from service observability and monitoring application. We construct the target dataset by extracting
Transformation of Monolithic Applications towards Microservices
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promise a number of advantages, including reduced maintenance work, greater availability, shortened incorporation of advanced features, allowed nonstop delivery and DevOps better
Microservice security: a systematic
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The sophisticated DevOps infrastructure required to operate microservices effectively is a new attack vector. Garriga (2017) conducted a preliminary analysis towards a taxonomy of
Trust Enhancement Issues in Program Repair
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The most mentioned integration mechanism is to involve smoothly in the DevOps pipeline ( Moreover, needs to be integrated into the existing DevOps pipelines to support the
Dr. RP Anto Kumar
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AutoPilot 19 2020-Seminar SAP ERP Software 20 2020-Seminar Digital Marketing 21 2020-Seminar DevOps 22 2020-Seminar Business and Operational
DIABETIC RETINOPATHY DETECTION USING RETINAL IMAGES
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Diabetes occurs when the pancreas fails to secrete enough insulin, slowly affecting the retina of the human eye. As it progresses, the vision of a patient starts deteriorating, leading to
Why Is It Not Solved Yet Challenges for Production-Ready Autoscaling (Author Preprint)
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This is especially difficult in DevOps contexts with frequently updated applications, and we conclude that lower configuration overhead should be one focus of future autoscaling
Key Steps and Parameters for Digital Transformation in Big Telco Organizations
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Development Methodology The modern approach is to follow the established DevOps process in the complete lifecycle. It begins from the project’s initiation until the software delivery
Personnel Needs for Department of the Air Force Digital Talent
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website, DevOps is a software engineering culture and practice that aims at unifying software development (Dev) and software operation (Ops). The main characteristic of the DevOps
Design and development of an Adaptive Zone Routing Protocol for Real-time Wireless Sensor Networks
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The paper focuses on the task of handling traffic loads in mobility condition. We compared our simulated results in static and mobility conditions with low traffic and high traffic