Model-Driven DevOps Increasing agility and security in your physical network through DevOps
Language: English Publication details: Uttar Pradesh Pearson India Education Service Pvt. Ltd. 2024 Description: xvii, 179pISBN: 9788119847020Subject(s): Computer programming, programs & dataDDC classification: 005.8Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode |
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Sateri Pissani Education Society's Shri Gopal Gaonkar Memorial College Goa Multi - Faculty College, Dayanandnagar, Dharbandora SPE-Department of IT & Computer Applications | SPE-IT & Computer Applications | 005.8 CAR/Mod (Browse shelf(Opens below)) | Available | SPE-4086 |
Browsing Sateri Pissani Education Society's Shri Gopal Gaonkar Memorial College Goa Multi - Faculty College, Dayanandnagar, Dharbandora shelves, Shelving location: SPE-Department of IT & Computer Applications, Collection: SPE-IT & Computer Applications Close shelf browser (Hides shelf browser)
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005.369 JEL-SYR Microsoft Excel VBA and Macro (Office 2021 and Microsoft 365) | 005.74 SAU-SAX Blockchain Technology : Concepts and Applications | 005.8 BAS/Com Computer Security and Penetration Testing | 005.8 CAR/Mod Model-Driven DevOps Increasing agility and security in your physical network through DevOps | 006.3 KHE/Fir A First Course in Artificial Intelligence | 006.3 NEG/Art Artificial Intelligence : A Guide to Intelligent Systems | 006.3 RUS-NOR Artificial Intelligence : A Modern Approach |
1.A lightbulb Goes off
2. A Better way
3.Consumable Infrastructure
4. Infrastructure as Code
5. Continuous Integration/Continuous Deployment
6. Implementation
7. Human Factors
sing model-driven DevOps and the Infrastructure as Code (IaC) paradigm, teams can develop and operate network infrastructure more quickly, consistently, and securely--growing agility, getting to market sooner, and delivering more value. Now, two leading practitioners walk you step by step through successfully implementing model-driven DevOps for infrastructure. In this practical guide, they share lessons learned, help you avoid common pitfalls, and illuminate key differences between DevOps for infrastructure and conventional application-based DevOps.
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