Private cloud is a form of cloud computing that is used by only one organization, or that ensures that an organization is completely isolated from others. It involves a distinct and secure cloud based environment in which only the specified client can operate.
In software engineering, tracing involves a specialized use of logging to record information about a program's execution. This information is typically used by programmers for debugging purposes, and additionally, depending on the type and detail of information contained in a trace log, by experienced system administrators or technical-support personnel and by software monitoring tools to diagnose common[citation needed] problems with software. Tracing is a cross-cutting concern.
Cloud Native storage is a model of data storage in which the digital data is stored in logical pools, the physical storage spans multiple servers, and the physical environment is typically owned and managed by a hosting company. These cloud native storage providers are responsible for keeping the data available and accessible, and the physical environment protected and running. People and organizations buy or lease storage capacity from the providers to store user, organization, or application data.
A log, in a computing context, is the automatically produced and time-stamped documentation of events relevant to a particular system. Virtually all software applications and systems produce log files.
A build tool is a programming utility that is used when building a new version of a program. For example, make is a popular open source build tool that uses makefile, another build tool, to ensure that source files that have been updated (and files that are dependent on them) will be compiled into a new version (build) of a program.
In software engineering, tracing involves a specialized use of logging to record information about a program's execution. This information is typically used by programmers for debugging purposes, and additionally, depending on the type and detail of information contained in a trace log, by experienced system administrators or technical-support personnel and by software monitoring tools to diagnose common[citation needed] problems with software. Tracing is a cross-cutting concern.
Cloud Native storage is a model of data storage in which the digital data is stored in logical pools, the physical storage spans multiple servers, and the physical environment is typically owned and managed by a hosting company. These cloud native storage providers are responsible for keeping the data available and accessible, and the physical environment protected and running. People and organizations buy or lease storage capacity from the providers to store user, organization, or application data.
A log, in a computing context, is the automatically produced and time-stamped documentation of events relevant to a particular system. Virtually all software applications and systems produce log files.
A build tool is a programming utility that is used when building a new version of a program. For example, make is a popular open source build tool that uses makefile, another build tool, to ensure that source files that have been updated (and files that are dependent on them) will be compiled into a new version (build) of a program.
A Host is a Computer which manages Databases and other services reside. A Host is one of many components that can be monitored and manages by Oracle Enterprise Manager. Monitoring refers to the process gathering information and keeping track of activity, status, performance and health of the targets managed by cloud control on your host. A management Agent deployed on the host in conjunction with pug-ins monitors every managed target on the host. Once hosts are discovered and promoted within Enterprise manager, you can monitor these hosts.
Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise
Containerization is a system of intermodal freight transport using intermodal containers made of weathering steel. The containers have standardized dimensions.
Infrastructure Automation in Cloud EnvironmentNisha G
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Infrastructure automation is the process of scripting environments.To achieve faster application delivery, right tools must be used in Devops environment.
Cloud Native storage is a model of data storage in which the digital data is stored in logical pools, the physical storage spans multiple servers, and the physical environment is typically owned and managed by a hosting company. These cloud native storage providers are responsible for keeping the data available and accessible, and the physical environment protected and running. People and organizations buy or lease storage capacity from the providers to store user, organization, or application data.
The Logging Tool facilitates troubleshooting by capturing logging and tracing information from the product while the product is running. The Logging Tool provides a range of logging and tracing options that replace the flat file logging functionality that was available in previous releases.
Scheduling & Orchestration in Cloud EnvironmentNisha G
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Orchestration is about aligning the business needs with the applications, data, and infrastructure. It is discussed on the context of virtualization, service-oriented architecture, provisioning and dynamic data center. Scheduling refers to the ability for an administrator to load a service file onto a host system that establishes how to run a specific container.
Release Management Tools in Cloud EnvironmentNisha G
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Release management is the process of managing, planning, scheduling and controlling a software build through different stages and environments; including testing and deploying software releases.
Application Definition in Cloud EnvironmentNisha G
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Application Definition is the process of packaging and deploying an application or update of an application from development, staging and finally to production. Application Definition has the capabilities of deployment automation, environment management, modeling and release control.
Deployment Automation Tools help organizations improve the speed and quality of software releases, and address the challenges of manual software deployment.
Repository Management Tools in Cloud EnvironmentNisha G
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Repository Management Tool is a powerful tool that encourages collaboration and provides visibility into the workflow which surrounds binary software artifacts.
Containers provide operating system level virtualization by running processes in isolated environments,usually also managing resource allocations like CPU shares and RAM. A container runtime enables users to ake effective use of these mechanisms by providing APIs and tooling that abstract the low level technical details.
Supply chain management (SCM) is the oversight of materials, information, and finances as they move in a process from supplier to manufacturer to wholesaler to retailer to consumer. Supply chain management involves coordinating and integrating these flows both within and among companies
Container Registry is a private Docker registry with continuous integration and delivery systems to push and pull images to a fast and high security repository.
Software testing is a method of assessing the functionality of a software program. There are many different types of software testing but the two main categories are dynamic testing and static testing.
BI Monitoring Tool provides an automated way to monitor SSAS, SSIS, SSRS and SQL Service when we're not around and send out an email when we hit the threshold.
A Host is a Computer which manages Databases and other services reside. A Host is one of many components that can be monitored and manages by Oracle Enterprise Manager. Monitoring refers to the process gathering information and keeping track of activity, status, performance and health of the targets managed by cloud control on your host. A management Agent deployed on the host in conjunction with pug-ins monitors every managed target on the host. Once hosts are discovered and promoted within Enterprise manager, you can monitor these hosts.
Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise
Containerization is a system of intermodal freight transport using intermodal containers made of weathering steel. The containers have standardized dimensions.
Infrastructure Automation in Cloud EnvironmentNisha G
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Infrastructure automation is the process of scripting environments.To achieve faster application delivery, right tools must be used in Devops environment.
Cloud Native storage is a model of data storage in which the digital data is stored in logical pools, the physical storage spans multiple servers, and the physical environment is typically owned and managed by a hosting company. These cloud native storage providers are responsible for keeping the data available and accessible, and the physical environment protected and running. People and organizations buy or lease storage capacity from the providers to store user, organization, or application data.
The Logging Tool facilitates troubleshooting by capturing logging and tracing information from the product while the product is running. The Logging Tool provides a range of logging and tracing options that replace the flat file logging functionality that was available in previous releases.
Scheduling & Orchestration in Cloud EnvironmentNisha G
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Orchestration is about aligning the business needs with the applications, data, and infrastructure. It is discussed on the context of virtualization, service-oriented architecture, provisioning and dynamic data center. Scheduling refers to the ability for an administrator to load a service file onto a host system that establishes how to run a specific container.
Release Management Tools in Cloud EnvironmentNisha G
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Release management is the process of managing, planning, scheduling and controlling a software build through different stages and environments; including testing and deploying software releases.
Application Definition in Cloud EnvironmentNisha G
Â
Application Definition is the process of packaging and deploying an application or update of an application from development, staging and finally to production. Application Definition has the capabilities of deployment automation, environment management, modeling and release control.
Deployment Automation Tools help organizations improve the speed and quality of software releases, and address the challenges of manual software deployment.
Repository Management Tools in Cloud EnvironmentNisha G
Â
Repository Management Tool is a powerful tool that encourages collaboration and provides visibility into the workflow which surrounds binary software artifacts.
Containers provide operating system level virtualization by running processes in isolated environments,usually also managing resource allocations like CPU shares and RAM. A container runtime enables users to ake effective use of these mechanisms by providing APIs and tooling that abstract the low level technical details.
Supply chain management (SCM) is the oversight of materials, information, and finances as they move in a process from supplier to manufacturer to wholesaler to retailer to consumer. Supply chain management involves coordinating and integrating these flows both within and among companies
Container Registry is a private Docker registry with continuous integration and delivery systems to push and pull images to a fast and high security repository.
Software testing is a method of assessing the functionality of a software program. There are many different types of software testing but the two main categories are dynamic testing and static testing.
BI Monitoring Tool provides an automated way to monitor SSAS, SSIS, SSRS and SQL Service when we're not around and send out an email when we hit the threshold.
OpenStack Products & Distro's - At-a-GlanceNisha G
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OpenStack is a collection of open source software projects that provides capabilities necessary to build a typical IaaS based solution for enterprises, that includes, but not limited to VM's, Containers, self-service provisioning.
Version Control & Source Code Management in Cloud EnvironmentNisha G
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Version Control is the management of changes to documents, computer programs, large web sites, and other collections of information.A source control management system (SCM) is software that provides coordination and services between members of a software development team.
Messaging / Collaboration Apps in Cloud EnvironmentNisha G
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Messaging and collaboration services are far from being mere commodities for most organizations. Rapidly increasing user demands have led to custom deployments that are not being matched by cloud suppliers. These suppliers are challenged to meet specific needs for security, content control, and application integration. The evolution of hybrid messaging and collaboration models in areas such as message hygiene, archiving, mailboxes, and unified communications are disrupting this space, leading to new and optimized delivery models that are cheaper and can be custom built to client requirements across user profiles in various industries.
Software Security Tools in Cloud EnvironmentNisha G
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Software security is a process that helps design and implement software that protects the data and resources contained in and controlled by that software. Software is itself a resource and thus must be afforded appropriate security.
Database & Data Analytics in Cloud EnvironmentNisha G
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A database is a collection of information that is organized so that it can be easily accessed, managed and updated. Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain. Data is extracted and categorized to identify and analyze behavioral data and patterns, and techniques vary according to organizational requirements. Data analytics is also known as data analysis.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
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The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
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I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
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Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
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Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
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Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
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As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
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Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
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In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
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In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
2. Example – Initial steps to a Customers Cloud Journey
Cloud
(via service provider)
On-Premise
3. (Typical) Customer Strategic Roadmap by Northx
 Develop an IT Maturity Model Engagement with us
 Create an IT Maturity Strategy that connects the IT
and business context
 Build Multi-Year Modernization Journey of your
Enterprise
 Planning multi-year/enterprise wide
 Design process, data and event driven
 Execution is part of digestible releases
 Funding is portfolio investment driven