ASL 2.0 – Maintenance Management
My two previous posts about the Application Services Library (ASL) covered Applications Cycle Management and Organization Cycle Management. The Application Services Library (ASL) is currently on version 2.0.
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My two previous posts about the Application Services Library (ASL) covered Applications Cycle Management and Organization Cycle Management. The Application Services Library (ASL) is currently on version 2.0.
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In my previous post I showed you the basics of Applications Cycle Management, part of the Application Services Library (ASL), currently on version 2.0. ASL2.0. ASL2.0 is usable for all application management organizations, i.e., application management organizations that deliver application services (management and maintenance) and application management organizations that realize the integration of underlying services.
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In practice, most organizations have a strong separation between ICT infrastructure management and application management.
Usually, organizations are familiar with the ITIL principle, but the application of ITIL then mainly takes place within the infrastructure management domain. Application management can then only take limited advantage of it.
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Many DevOps methods streamline software development and deployment during an early stage in agile software development and lean programming. But DevOps originally evolved from several basic movements, harmonizing the activities of developers and their colleagues on the operations team.
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Almost everybody owns a mobile phone these days. By using a mobile phone, you automatically run a cybersecurity risk. One of the most notorious mobile phone attacks, next to phishing by SMS, is SIM swapping.
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As discussed in my previous post, Data Governance is a mandatory framework to manage and maintain a data-driven organization. Data governance is the beating heart of all your data management processes
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Data governance is at the heart of data management. It concerns all agreements and rules of the game of data management with which you determine, among other things, how you want to use all data, what your objectives are with it, how you guarantee its quality, and how you arrange data security.
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