An Introduction To Monitoring With Nagios PowerPoint Presentation SlidesSlideTeam
An Introduction To Monitoring With Nagios PowerPoint Presentation Slides simplify explanation through industry-leading data visualization. Your audience quickly and painlessly grasps the essentials of continuous monitoring through Nagios via our viewer-friendly PPT format. This PowerPoint theme helps you introduce the features and benefits of Nagios Core. Communicate the operating principles, and architecture of Nagios with the visual aid of a labeled diagram. Use our comprehensive Nagios monitoring PowerPoint slideshow to outline Nagios Remote Plugin Executor. NRPE Nagios plugin diagram featured in this PPT presentation translates the functioning of the remote system monitoring. Demonstrate Nagios’ use case for email notifications. Our PowerPoint deck ideal to represent system monitoring, networking monitoring, as well as infrastructure monitoring. The data in this presentation is researched by industry experts. Take advantage of the cutting-edge graphics developed using a combination of expertise and professional tools. Smash the download icon to instantly execute final design edits. Our An Introduction To Monitoring With Nagios PowerPoint Presentation Slides are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/2LoAoP8
Turning big data and text collections into web resroucesLars Juhl Jensen
This document discusses turning large text collections into web resources in three parts: data integration, text mining, and interface design. It describes using data from various databases and literature to build association networks and using text mining techniques like named entity recognition and information extraction to analyze over 22 million abstracts and identify relationships between entities. It emphasizes the importance of easy to use and visually appealing web interfaces to make these complex networks and relationships accessible and useful to users.
PMML Execution of R Built Predictive Solutionsaguazzel
The document discusses exporting predictive models built in R to the PMML standard. It provides an overview of PMML, describing it as an XML format for defining, sharing, and executing data mining models. Various R packages are supported for exporting models like neural networks, regression, clustering, and decision trees to PMML. Once exported, the models can be deployed and executed in real-time using platforms like Zementis' ADAPA decision engine, which supports PMML. Zementis contributes to the PMML standard and R PMML package and provides tools and services to help users deploy predictive models from R to production.
MT30 Best practices for data lake adoptionDell EMC World
Extracting value from a data lake implementation requires more than installation and data migration. IT and the business must consider impact to skill sets, culture, processes, governance, analytics, app development, user experience, and SLAs, just to name a few. In this session we will help you understand the best practices for data lake adoption and for your organization and how to avoid pitfalls along the way.
Build a modern platform for anti-money laundering 9.19.18Cloudera, Inc.
In this webinar, you will learn how Cloudera and BAH riskCanvas can help you build a modern AML platform that reduces false positive rates, investigation costs, technology sprawl, and regulatory risk.
Predictive Analytics - Big Data Warehousing Meetup, ZementisCaserta
Predictive analytics has always been about the future, and the age of big data has made that future an increasingly dynamic place, filled with opportunity and risk.
The evolution of advanced analytics technologies and the continual development of new analytical methodologies can help to optimize financial results, enable systems and services based on machine learning, obviate or mitigate fraud and reduce cybersecurity risks, among many other things.
Caserta Concepts, Zementis, and guest speaker from FICO presented the strategies, technologies and use cases driving predictive analytics in a big data environment.
For more information, visit www.casertaconcepts.com or contact us at info@casertaconcepts.com
An Introduction To Monitoring With Nagios PowerPoint Presentation SlidesSlideTeam
An Introduction To Monitoring With Nagios PowerPoint Presentation Slides simplify explanation through industry-leading data visualization. Your audience quickly and painlessly grasps the essentials of continuous monitoring through Nagios via our viewer-friendly PPT format. This PowerPoint theme helps you introduce the features and benefits of Nagios Core. Communicate the operating principles, and architecture of Nagios with the visual aid of a labeled diagram. Use our comprehensive Nagios monitoring PowerPoint slideshow to outline Nagios Remote Plugin Executor. NRPE Nagios plugin diagram featured in this PPT presentation translates the functioning of the remote system monitoring. Demonstrate Nagios’ use case for email notifications. Our PowerPoint deck ideal to represent system monitoring, networking monitoring, as well as infrastructure monitoring. The data in this presentation is researched by industry experts. Take advantage of the cutting-edge graphics developed using a combination of expertise and professional tools. Smash the download icon to instantly execute final design edits. Our An Introduction To Monitoring With Nagios PowerPoint Presentation Slides are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/2LoAoP8
Turning big data and text collections into web resroucesLars Juhl Jensen
This document discusses turning large text collections into web resources in three parts: data integration, text mining, and interface design. It describes using data from various databases and literature to build association networks and using text mining techniques like named entity recognition and information extraction to analyze over 22 million abstracts and identify relationships between entities. It emphasizes the importance of easy to use and visually appealing web interfaces to make these complex networks and relationships accessible and useful to users.
PMML Execution of R Built Predictive Solutionsaguazzel
The document discusses exporting predictive models built in R to the PMML standard. It provides an overview of PMML, describing it as an XML format for defining, sharing, and executing data mining models. Various R packages are supported for exporting models like neural networks, regression, clustering, and decision trees to PMML. Once exported, the models can be deployed and executed in real-time using platforms like Zementis' ADAPA decision engine, which supports PMML. Zementis contributes to the PMML standard and R PMML package and provides tools and services to help users deploy predictive models from R to production.
MT30 Best practices for data lake adoptionDell EMC World
Extracting value from a data lake implementation requires more than installation and data migration. IT and the business must consider impact to skill sets, culture, processes, governance, analytics, app development, user experience, and SLAs, just to name a few. In this session we will help you understand the best practices for data lake adoption and for your organization and how to avoid pitfalls along the way.
Build a modern platform for anti-money laundering 9.19.18Cloudera, Inc.
In this webinar, you will learn how Cloudera and BAH riskCanvas can help you build a modern AML platform that reduces false positive rates, investigation costs, technology sprawl, and regulatory risk.
Predictive Analytics - Big Data Warehousing Meetup, ZementisCaserta
Predictive analytics has always been about the future, and the age of big data has made that future an increasingly dynamic place, filled with opportunity and risk.
The evolution of advanced analytics technologies and the continual development of new analytical methodologies can help to optimize financial results, enable systems and services based on machine learning, obviate or mitigate fraud and reduce cybersecurity risks, among many other things.
Caserta Concepts, Zementis, and guest speaker from FICO presented the strategies, technologies and use cases driving predictive analytics in a big data environment.
For more information, visit www.casertaconcepts.com or contact us at info@casertaconcepts.com
Big Data LDN 2017: The New Dominant Companies Are Running on DataMatt Stubbs
The document discusses solutions for deriving value from data through data integration and analytics. It describes three approaches companies have taken: 1) Building a custom machine learning platform like Uber's Michelangelo. 2) Developing custom integrations for a large multinational corporation with many technologies. 3) Implementing a cloud-first enterprise data stack for a 360-degree view of customers. The cloud-first approach provides benefits like scalability, collaboration, and reduced maintenance costs.
The new dominant companies are running on data SnapLogic
The cost of Digital Transformation is dropping rapidly. The technologies and methodologies are evolving to open up new opportunities for new and established corporations to drive business. We will examine specific examples of how and why a combination of robust infrastructure, cloud first and machine learning can take your company to the next level of value and efficiency.
Rich Dill, SnapLogic's enterprise solutions architect, at Big Data LDN 2017.
Teradata Aster: Big Data Discovery Made Easy
Brad Elo, VP, Aster Data, Teradata
ANALYTICS AND VISUALIZATION FOR THE FINANCIAL ENTERPRISE CONFERENCE
June 25, 2013 The Langham Hotel Boston, MA
Applying MBSE to the Industrial IoT: Using SysML with Connext DDS and SimulinkGerardo Pardo-Castellote
This document summarizes a presentation about applying model-based systems engineering (MBSE) to industrial internet of things (IIoT) systems using the SysML modeling language, Connext DDS middleware, and Simulink. It discusses how SysML can be used to design interfaces, applications, and quality of service policies for DDS-connected systems. The presentation also provides examples of integrating MagicDraw, Simulink, and Connext DDS to enable translating SysML models into implementations and deployments of distributed IIoT applications and components.
Bosch ConnectedWorld 2017: Striving for Zero DPPMDavid Park
Optimal+ CTO, Michael Schuldenfrei, explains how big data product analytics can significantly lower PPM rates for both semiconductors and electronic systems, raising the overall quality and reliability of mission-critical automotive systems.
Curing dataheadachesv2 with sugarcrm levementum and talendGeoffrey Mobisson
This document discusses integrating Talend and SugarCRM to help cure data headaches. It provides an overview of Talend including its key features and market positioning for data integration. It then discusses in more detail Talend's data integration capabilities and tools. The document presents a customer case study of Estes Inc. which used Talend and SugarCRM along with other open source solutions to modernize its systems. It outlines the key integration use cases enabled between SugarCRM and Compiere through Levementum's connector to provide a consistent customer view across both platforms.
Webinar: The Modern Streaming Data Stack with Kinetica & StreamSetsKinetica
Enterprises are now faced with wrangling massive volumes of complex, streaming data from a variety of different sources, a new paradigm known as extreme data. However, the traditional data integration model that’s based on structured batch data and stable data movement patterns makes it difficult to analyze extreme data in real-time. Join Matt Hawkins, Principal Solutions Architect at Kinetica and Mark Brooks, Solution Engineer at StreamSets as they share how innovative organizations are modernizing their data stacks with StreamSets and Kinetica to enable faster data movement and analysis.In this webinar we’ll explore:
The modern data architecture required for dealing with extreme data
How StreamSets enables continuous data movement and transformation across the enterprise
How Kinetica harnesses the power of GPUs to accelerate analytics on streaming data
A live demo of StreamSets and Kinetica connector to enable high speed data ingestion, queries and data visualization
This contains all the presentations from the 9 April breakfast
David Gittins, EMC - What is Cloud? http://uk.emc.com/
James Wilson, WeLoveSleep - Why I now run a digital business www.welovesleep.co.uk/
Dan Fleetcroft, PES Performance – How Cloud supports collaborative design and supply chain management www.pes-performance.com/
Hannah Chaplin, Order Harmony - Example of Software as a Service www.orderharmony.com/
The final presentation from Eddie Murphy from MottMacDonald on collaboration can be found here: http://prezi.com/adtppkhyugmc/collaboration-case-study/?auth_key=813bd409969889be4ccc0c5442e00a5cec36d56b&kw=view-adtppkhyugmc&rc=ref-11356493
The document is a marketing brochure for SecurNOC, a real-time network management suite provided by DataComm Networks, Inc. It describes DataComm's managed services, secure online portal for ticket management and network monitoring, compliance reporting capabilities, infrastructure, and service options. Key offerings highlighted include 24/7 network monitoring, remote troubleshooting and issue resolution, automated client notifications, and customizable reporting for hardware inventory, patches, and network health.
The document discusses operational analytics using Cloudera. It describes how Cloudera can be used to operationalize models, reports and rules through recommendation engines, event detection, and scoring. It also discusses challenges with traditional operational analytic architectures like limited data, slow drill down performance, and analytic latency. The document then presents Cloudera as a new way forward that can address these challenges by providing greater data scale, faster drill down speeds, and lower latency. It provides the example of Opower, an energy conservation company, that uses Cloudera to power personalized insights for customers.
Snowflake's Kent Graziano talks about what makes a data warehouse as a service and some of the key features of Snowflake's data warehouse as a service.
Breakout: Operational Analytics with HadoopCloudera, Inc.
Operationalizing models and responding to large volumes of data, fast, requires bolt on systems that can struggle with processing (transforming the data), consistency (always responding to data), and scalability (processing and responding to large volumes of data). If the data volume become too large, these traditional systems fail to deliver their responses resulting in significant losses to organizations. Join this breakout to learn how to overcome the roadblocks.
In this deck from the DDN User Group at ISC 2018, James Coomer from DDN presents: A3I - Accelerated Any-Scale Solutions from DDN.
"Engineered from the ground up for the AI-enabled data center, DDN’s A3I solutions are fully optimized to handle the spectrum of AI and DL activities concurrently: data ingest and preparation, training, validation, and inference. The DDN A3I platform is easy to deploy and manage, highly scalable in both performance and capacity, and represents a highly efficient and resilient solution for all of your current and future AI requirements."
Watch the video: https://youtu.be/puWL5lcKgA4
Learn more: https://www.ddn.com/products/a3i-accelerated-any-scale-ai/
and
https://www.ddn.com/company/events/isc-user-group/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
The document discusses the role of cloud computing in data center strategies. It provides perspectives from both supporters and critics of cloud computing. It also examines considerations for adopting cloud services like regulatory compliance, performance, security, and value. Finally, it discusses strategies for applying cloud principles internally and using automation to improve efficiency and service delivery.
The document discusses AWS Glue, a serverless data integration service. It provides an overview of AWS Glue and how it can help simplify data integration by allowing users to ingest, transform, and operationalize data from various sources. The document also covers how AWS Glue addresses common challenges with data integration like handling diverse data sources and providing tools for different user personas. It concludes with a demo of AWS Glue's capabilities.
New ThousandEyes Product Features and Release Highlights: November 2022ThousandEyes
The document summarizes recently released features from ThousandEyes. It discusses features that simplify and automate operations workflows such as API support for modifying interface groups and Azure ARM templates for faster agent deployments. Other features aim to reduce mean time to identify and resolve issues with faster insights through reports/dashboard merging, multi-service snapshot views, and new chat functionality from ThousandEyes TEACH. Additional features elevate remote workforce productivity like automated session test snapshots, adding AST data to reports and dashboards, and improving the endpoint agent reinstallation process. The document also covers ensuring data privacy and protection through options for a European data region.
The document discusses how automated machine learning can enable large scale adoption of predictive analytics. It notes that digitization is changing customer behavior and every industry. Predictive analytics needs to be a core capability for 21st century organizations. Automated machine learning uses artificial intelligence to build models for prediction and intervention at scale with a focus on accuracy, transparency, and ease of use. This reduces the prerequisites of needing data science skills and programming knowledge compared to traditional predictive analytics approaches.
The document discusses how automated machine learning can enable large scale adoption of predictive analytics. It notes that digitization is changing customer behavior and every industry. Predictive analytics needs to be a core capability for 21st century organizations. Automated machine learning uses artificial intelligence to build models for prediction and intervention at scale with a focus on accuracy, transparency, and ease of use. This reduces the prerequisites of needing data science skills and programming knowledge. The document advocates a process automation focused delivery model over a data scientist focused model to enable broader use of predictive analytics within organizations.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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The document discusses solutions for deriving value from data through data integration and analytics. It describes three approaches companies have taken: 1) Building a custom machine learning platform like Uber's Michelangelo. 2) Developing custom integrations for a large multinational corporation with many technologies. 3) Implementing a cloud-first enterprise data stack for a 360-degree view of customers. The cloud-first approach provides benefits like scalability, collaboration, and reduced maintenance costs.
The new dominant companies are running on data SnapLogic
The cost of Digital Transformation is dropping rapidly. The technologies and methodologies are evolving to open up new opportunities for new and established corporations to drive business. We will examine specific examples of how and why a combination of robust infrastructure, cloud first and machine learning can take your company to the next level of value and efficiency.
Rich Dill, SnapLogic's enterprise solutions architect, at Big Data LDN 2017.
Teradata Aster: Big Data Discovery Made Easy
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This document summarizes a presentation about applying model-based systems engineering (MBSE) to industrial internet of things (IIoT) systems using the SysML modeling language, Connext DDS middleware, and Simulink. It discusses how SysML can be used to design interfaces, applications, and quality of service policies for DDS-connected systems. The presentation also provides examples of integrating MagicDraw, Simulink, and Connext DDS to enable translating SysML models into implementations and deployments of distributed IIoT applications and components.
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This document discusses integrating Talend and SugarCRM to help cure data headaches. It provides an overview of Talend including its key features and market positioning for data integration. It then discusses in more detail Talend's data integration capabilities and tools. The document presents a customer case study of Estes Inc. which used Talend and SugarCRM along with other open source solutions to modernize its systems. It outlines the key integration use cases enabled between SugarCRM and Compiere through Levementum's connector to provide a consistent customer view across both platforms.
Webinar: The Modern Streaming Data Stack with Kinetica & StreamSetsKinetica
Enterprises are now faced with wrangling massive volumes of complex, streaming data from a variety of different sources, a new paradigm known as extreme data. However, the traditional data integration model that’s based on structured batch data and stable data movement patterns makes it difficult to analyze extreme data in real-time. Join Matt Hawkins, Principal Solutions Architect at Kinetica and Mark Brooks, Solution Engineer at StreamSets as they share how innovative organizations are modernizing their data stacks with StreamSets and Kinetica to enable faster data movement and analysis.In this webinar we’ll explore:
The modern data architecture required for dealing with extreme data
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This contains all the presentations from the 9 April breakfast
David Gittins, EMC - What is Cloud? http://uk.emc.com/
James Wilson, WeLoveSleep - Why I now run a digital business www.welovesleep.co.uk/
Dan Fleetcroft, PES Performance – How Cloud supports collaborative design and supply chain management www.pes-performance.com/
Hannah Chaplin, Order Harmony - Example of Software as a Service www.orderharmony.com/
The final presentation from Eddie Murphy from MottMacDonald on collaboration can be found here: http://prezi.com/adtppkhyugmc/collaboration-case-study/?auth_key=813bd409969889be4ccc0c5442e00a5cec36d56b&kw=view-adtppkhyugmc&rc=ref-11356493
The document is a marketing brochure for SecurNOC, a real-time network management suite provided by DataComm Networks, Inc. It describes DataComm's managed services, secure online portal for ticket management and network monitoring, compliance reporting capabilities, infrastructure, and service options. Key offerings highlighted include 24/7 network monitoring, remote troubleshooting and issue resolution, automated client notifications, and customizable reporting for hardware inventory, patches, and network health.
The document discusses operational analytics using Cloudera. It describes how Cloudera can be used to operationalize models, reports and rules through recommendation engines, event detection, and scoring. It also discusses challenges with traditional operational analytic architectures like limited data, slow drill down performance, and analytic latency. The document then presents Cloudera as a new way forward that can address these challenges by providing greater data scale, faster drill down speeds, and lower latency. It provides the example of Opower, an energy conservation company, that uses Cloudera to power personalized insights for customers.
Snowflake's Kent Graziano talks about what makes a data warehouse as a service and some of the key features of Snowflake's data warehouse as a service.
Breakout: Operational Analytics with HadoopCloudera, Inc.
Operationalizing models and responding to large volumes of data, fast, requires bolt on systems that can struggle with processing (transforming the data), consistency (always responding to data), and scalability (processing and responding to large volumes of data). If the data volume become too large, these traditional systems fail to deliver their responses resulting in significant losses to organizations. Join this breakout to learn how to overcome the roadblocks.
In this deck from the DDN User Group at ISC 2018, James Coomer from DDN presents: A3I - Accelerated Any-Scale Solutions from DDN.
"Engineered from the ground up for the AI-enabled data center, DDN’s A3I solutions are fully optimized to handle the spectrum of AI and DL activities concurrently: data ingest and preparation, training, validation, and inference. The DDN A3I platform is easy to deploy and manage, highly scalable in both performance and capacity, and represents a highly efficient and resilient solution for all of your current and future AI requirements."
Watch the video: https://youtu.be/puWL5lcKgA4
Learn more: https://www.ddn.com/products/a3i-accelerated-any-scale-ai/
and
https://www.ddn.com/company/events/isc-user-group/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
The document discusses the role of cloud computing in data center strategies. It provides perspectives from both supporters and critics of cloud computing. It also examines considerations for adopting cloud services like regulatory compliance, performance, security, and value. Finally, it discusses strategies for applying cloud principles internally and using automation to improve efficiency and service delivery.
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The document discusses how automated machine learning can enable large scale adoption of predictive analytics. It notes that digitization is changing customer behavior and every industry. Predictive analytics needs to be a core capability for 21st century organizations. Automated machine learning uses artificial intelligence to build models for prediction and intervention at scale with a focus on accuracy, transparency, and ease of use. This reduces the prerequisites of needing data science skills and programming knowledge compared to traditional predictive analytics approaches.
The document discusses how automated machine learning can enable large scale adoption of predictive analytics. It notes that digitization is changing customer behavior and every industry. Predictive analytics needs to be a core capability for 21st century organizations. Automated machine learning uses artificial intelligence to build models for prediction and intervention at scale with a focus on accuracy, transparency, and ease of use. This reduces the prerequisites of needing data science skills and programming knowledge. The document advocates a process automation focused delivery model over a data scientist focused model to enable broader use of predictive analytics within organizations.
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* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
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We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
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The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
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Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
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Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
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van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.