This document provides an overview of concurrency and the Disruptor framework. It begins with an introduction to the author and agenda. It then discusses why concurrency is needed given modern hardware, but also explains that concurrency is difficult due to coordination problems. It introduces the producer-consumer problem and shows how locking can help but is still inefficient. The document then presents the Disruptor framework as an optimized solution using a ring buffer and compare-and-swap operations. Examples of using Disruptor for a loan application processing workflow are also provided.
Adversity is a fact of software security–bad things happen both intentionally and accidentally. In the InfoSec field there is a growing undercurrent of belief that we need to build code that is Rugged meaning code that is survivable, long-lasting and persistent in the face of adversity. When paired with DevOps the Rugged Software movement really begins to hit a nerve. The pairing, aptly called Rugged DevOps is where security becomes an asset to the organization and no longer a drag on innovation.
The document is a rental guide from Calumet that provides information about rental accounts, rental rates, and equipment available to rent. It lists various Canon DSLR camera bodies and lenses available for daily and weekly rental rates. It also provides information on rental terms and conditions and Calumet's international network of rental locations.
Partner University is VMware's education program for partners. It provides various roles-based training and certifications to help partners sell, implement, and support VMware technologies. Training paths are organized by role, such as sales, pre-sales technical, and post-sales technical. Global, regional, and online events offer courses focused on technologies, specializations, and skills. Data shows partners with VMware competencies see significantly higher revenue.
This document discusses SRAM redundancy insertion and its benefits and considerations for design and manufacturing. SRAM redundancy can improve chip yield by replacing defective memory bits with redundant rows and columns. While it requires additional design and testing costs, it can provide a return on investment through reduced unit costs with higher production volumes due to improved yields. Key factors that must be considered include the expected volume, SRAM size and layout, available redundancy in memory compilers and testing tools, additional area and test time overhead, and accurate yield projections with and without redundancy. An ROI analysis is needed to determine if SRAM redundancy will ultimately lower the cost per chip.
This document summarizes a presentation about SQL Server 2012 high availability and disaster recovery options. It discusses key disaster recovery terms, how to approach risk management, and different SQL Server high availability and disaster recovery solutions like log shipping, replication, failover clustering, and AlwaysOn availability groups. It also covers new features in SQL Server 2012 and Windows Server 2012 that improve high availability and disaster recovery capabilities.
Sql Server 2012 HA and DR -- SQL Saturday RichmondJoseph D'Antoni
The document discusses various strategies for achieving high availability and disaster recovery in SQL Server 2012, including log shipping, database mirroring, failover cluster instances, replication, and AlwaysOn availability groups. It provides an overview of each technology and their pros and cons for maintaining continuous access to database systems and protecting against data loss from hardware or site failures. Resources are also listed for attendees to learn more about high availability and disaster recovery options in SQL Server.
Turbocharging php applications with zend server (workshop)Eric Ritchie
Zend Server is best known for its robust monitoring toolset. But what good is a monitoring toolset if you don't have the tools to fix the issues that come up? In this tutorial we will go over how you can discover where performance issues are occuring in your application and how you can implement fixes using various performance features in our flagship product.
Finding Incremental Solutions for Evolving Requirements Neil Ernst
The document discusses evolving requirements for software systems. It proposes using a formal propositional model to define goals, tasks, and assumptions for satisfying requirements. As a case study, it models requirements for a merchant to comply with the Payment Card Industry Data Security Standard (PCI-DSS). The model shows goals like increasing revenues and avoiding penalties refined into tasks like accepting different payment types, using specific point-of-sale systems, and configuring servers securely.
Adversity is a fact of software security–bad things happen both intentionally and accidentally. In the InfoSec field there is a growing undercurrent of belief that we need to build code that is Rugged meaning code that is survivable, long-lasting and persistent in the face of adversity. When paired with DevOps the Rugged Software movement really begins to hit a nerve. The pairing, aptly called Rugged DevOps is where security becomes an asset to the organization and no longer a drag on innovation.
The document is a rental guide from Calumet that provides information about rental accounts, rental rates, and equipment available to rent. It lists various Canon DSLR camera bodies and lenses available for daily and weekly rental rates. It also provides information on rental terms and conditions and Calumet's international network of rental locations.
Partner University is VMware's education program for partners. It provides various roles-based training and certifications to help partners sell, implement, and support VMware technologies. Training paths are organized by role, such as sales, pre-sales technical, and post-sales technical. Global, regional, and online events offer courses focused on technologies, specializations, and skills. Data shows partners with VMware competencies see significantly higher revenue.
This document discusses SRAM redundancy insertion and its benefits and considerations for design and manufacturing. SRAM redundancy can improve chip yield by replacing defective memory bits with redundant rows and columns. While it requires additional design and testing costs, it can provide a return on investment through reduced unit costs with higher production volumes due to improved yields. Key factors that must be considered include the expected volume, SRAM size and layout, available redundancy in memory compilers and testing tools, additional area and test time overhead, and accurate yield projections with and without redundancy. An ROI analysis is needed to determine if SRAM redundancy will ultimately lower the cost per chip.
This document summarizes a presentation about SQL Server 2012 high availability and disaster recovery options. It discusses key disaster recovery terms, how to approach risk management, and different SQL Server high availability and disaster recovery solutions like log shipping, replication, failover clustering, and AlwaysOn availability groups. It also covers new features in SQL Server 2012 and Windows Server 2012 that improve high availability and disaster recovery capabilities.
Sql Server 2012 HA and DR -- SQL Saturday RichmondJoseph D'Antoni
The document discusses various strategies for achieving high availability and disaster recovery in SQL Server 2012, including log shipping, database mirroring, failover cluster instances, replication, and AlwaysOn availability groups. It provides an overview of each technology and their pros and cons for maintaining continuous access to database systems and protecting against data loss from hardware or site failures. Resources are also listed for attendees to learn more about high availability and disaster recovery options in SQL Server.
Turbocharging php applications with zend server (workshop)Eric Ritchie
Zend Server is best known for its robust monitoring toolset. But what good is a monitoring toolset if you don't have the tools to fix the issues that come up? In this tutorial we will go over how you can discover where performance issues are occuring in your application and how you can implement fixes using various performance features in our flagship product.
Finding Incremental Solutions for Evolving Requirements Neil Ernst
The document discusses evolving requirements for software systems. It proposes using a formal propositional model to define goals, tasks, and assumptions for satisfying requirements. As a case study, it models requirements for a merchant to comply with the Payment Card Industry Data Security Standard (PCI-DSS). The model shows goals like increasing revenues and avoiding penalties refined into tasks like accepting different payment types, using specific point-of-sale systems, and configuring servers securely.
JD Edwards & Peoplesoft 1 _ Dean Hansen _ Achieving cost effective third part...InSync2011
The document discusses integrating JD Edwards EnterpriseOne (JDE) with other applications using web services. It describes the need for real-time access to JDE data from various applications. While JDE offers Business Services for integration, they have limitations. As an alternative, the company Ndevr has developed the Ndevr Integration Suite (NIS), which uses a generic JDE protocol and pre-packages common services like accessing address books, accounts receivable, and more to provide integration without JDE-specific details.
Robust Cloud Resource Provisioning for Cloud Computing EnvironmentsSivadon Chaisiri
This document presents the Robust Cloud Resource Provisioning (RCRP) algorithm. RCRP aims to minimize cloud computing resource provisioning costs under uncertainty. It considers multiple cloud providers, provisioning plans, resource requirements, and uncertain demand and prices. RCRP formulates the problem as a multi-criteria optimization to balance total cost, solution robustness, and model robustness. Numerical studies show RCRP achieves costs close to optimal methods while allowing flexibility to meet risk preferences, unlike stochastic programming approaches. The RCRP algorithm provides a robust approach for resource provisioning under uncertainty in cloud computing environments.
Optimization of Resource Provisioning Cost in Cloud Computing Sivadon Chaisiri
The slide is about how we can optimally provision servers with combination of reservation and on-demand plans offered by multiple cloud providers. The slide content is from the journal paper published in IEEE Transactions on Service Computing
It was firstly presented in PDCC, School of Computer Engineering, Nanyang Technological University, Singapore.
Acquia Managed Cloud: Highly Available Architecture for Highly Unpredictable ...Acquia
Visit this page to view a recording of this webinar - http://www.acquia.com/resources/acquia-tv/conference/acquia-managed-cloud-highly-available-architecture-highly
Companies throw terms like public cloud, dedicated cloud and hybrid cloud environment around daily. Everyone’s abuzz about “the cloud” lately, but what does it all really mean? If you’re looking for clarity when it comes to the cloud platform options available to you, this PowerPoint is right up your alley.
This document discusses various ways to optimize costs when using AWS services including using elastic capacity to only pay for resources when they are turned on, choosing the appropriate EC2 instance types, leveraging reserved instances for consistent usage, taking advantage of lower priced spot instances, and using complementary services like SQS that have very low per usage costs. The strategies provided give examples of how to save 25-75% on costs through these optimization techniques.
ConnectWise and eFolder Webinar: From Destruction to Production in 72 HoursDropbox
The document describes how a technology partner named SNC Squared was able to recover from the devastating 2011 Joplin tornado within 72 hours using ConnectWise and eFolder backup and disaster recovery technology. It details how they were able to have their own systems up and running within 5 hours and all client servers recovered by day 3. The document emphasizes the importance of having a disaster recovery plan and backups in place. It showcases how eFolder and ConnectWise solutions helped SNC Squared achieve their goals of minimal downtime and zero client data loss.
This is my deck from Cloud Conference Torino 2013 (http://www.cloudconf.it). I was the post-lunch speaker, so this one is more silly and there was a lot of off-deck riffing, so this is here only for posterity.
I initially planned to speak on cloud-specific stuff, this turned into an intro to MongoDB though.
Building Cost-Aware Cloud Architectures - Jinesh Varia (AWS) and Adrian Cockc...Amazon Web Services
5 ways you can build cost-awareness into your cloud architectures and maximize your savings (business-driven auto scaling, mixing and matching reserved/on-demand, iterating and optimizing fungible resources, follow the customer (run auto scaling web servers) during the day and follow the money (run hadoop and transcoding jobs) at night and soak up your reservations.
The document discusses applying John Boyd's OODA (Observation, Orientation, Decision, Action) loop strategy to IT security decision making. It suggests that IT security currently lacks offensive capabilities and must function like prey, focusing on raising costs for adversaries through rapid change and diversity. This can be achieved through techniques like synthetic provisioning to introduce continuous change at the server level and maintain a "knowledge margin" over adversaries. Maintaining a high rate of change can prevent adversaries from developing effective tactics.
1) Concurrency allows multiple computations to execute simultaneously and potentially interact with each other.
2) Concurrent applications are important for business processes that can benefit from parallel processing like e-commerce and logistics.
3) GPars is a Groovy concurrency library that supports models like actors and dataflow.
This is a slide deck I have created for a session I did during a Microsoft Executive Meeting in Dublin. It is an excerpt of my SaaS/Multi Tenancy workshop that I do regularly at various conferences.
This presentation on disaster recovery was given during the 2012 Data Center World Conference in Las Vegas, NV. Learn more by visiting www.datacenterworld.com.
- The document discusses a presentation about a company called Moves and their digital planning product for homecare companies.
- Moves is a digital planning board that allows homecare companies to better plan logistics in a simple, quick and powerful way compared to other logistical planning solutions.
- The presentation will cover details about their company, product, and technology. It will also discuss deployment and maintenance of the Moves product across multiple customer clusters.
If you're in IT, it's important to understand that your users are fully embracing the cloud. Understanding cloud security including how to utilize API calls safely and securely, the importance of Firewalls (yes, even in the cloud!) as well as ensuring redundancy and availability needs to be kept in the forefront of all cloud deployments. This presentation will help you to talk about cloud security in a non-confrontational way with your users.
Sql server 2012 ha and dr sql saturday bostonJoseph D'Antoni
This document summarizes a presentation about SQL Server 2012 high availability and disaster recovery options. It discusses key disaster recovery terms like RTO and RPO. It then reviews several high availability and disaster recovery solutions for SQL Server including log shipping, database mirroring, failover clustering, replication, and AlwaysOn availability groups. For each solution, it discusses requirements, pros, cons and how they work at a high level. The document concludes by noting some new features for clustering in SQL Server 2012.
Cost Optimisation in the AWS Cloud, Ianni Vamvadelis, Solutions Architect, AWSAmazon Web Services
This document discusses various strategies for optimizing costs when using Amazon Web Services. It covers using elastic capacity to only pay for resources when they are needed. Auto scaling allows adding or removing instances automatically based on demand. Reserved Instances provide significant savings for steady usage by paying upfront. Spot Instances utilize unused capacity at steep discounts but can be interrupted. Various bidding strategies like optimizing for lowest cost or maintaining prices relative to on-demand are presented. Complementary services like SQS can further reduce costs.
A general overview of Reactive programming, including the history of Reactive application development and why this paradigm is the right fit for developing modern software. Explores examples from JavaScript, Scala, Erlang, and Akka.
This document discusses using cloud computing to scale applications dynamically. It provides an example of a tax application that experiences spikes in usage. On-premises, scaling would require manually provisioning additional servers and resources, which is time-consuming and results in idle capacity. The cloud allows automatic scaling of web and application tiers through role instances that can be added or removed as needed. This provides a more cost-effective and dynamic approach to handling variable usage loads.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
JD Edwards & Peoplesoft 1 _ Dean Hansen _ Achieving cost effective third part...InSync2011
The document discusses integrating JD Edwards EnterpriseOne (JDE) with other applications using web services. It describes the need for real-time access to JDE data from various applications. While JDE offers Business Services for integration, they have limitations. As an alternative, the company Ndevr has developed the Ndevr Integration Suite (NIS), which uses a generic JDE protocol and pre-packages common services like accessing address books, accounts receivable, and more to provide integration without JDE-specific details.
Robust Cloud Resource Provisioning for Cloud Computing EnvironmentsSivadon Chaisiri
This document presents the Robust Cloud Resource Provisioning (RCRP) algorithm. RCRP aims to minimize cloud computing resource provisioning costs under uncertainty. It considers multiple cloud providers, provisioning plans, resource requirements, and uncertain demand and prices. RCRP formulates the problem as a multi-criteria optimization to balance total cost, solution robustness, and model robustness. Numerical studies show RCRP achieves costs close to optimal methods while allowing flexibility to meet risk preferences, unlike stochastic programming approaches. The RCRP algorithm provides a robust approach for resource provisioning under uncertainty in cloud computing environments.
Optimization of Resource Provisioning Cost in Cloud Computing Sivadon Chaisiri
The slide is about how we can optimally provision servers with combination of reservation and on-demand plans offered by multiple cloud providers. The slide content is from the journal paper published in IEEE Transactions on Service Computing
It was firstly presented in PDCC, School of Computer Engineering, Nanyang Technological University, Singapore.
Acquia Managed Cloud: Highly Available Architecture for Highly Unpredictable ...Acquia
Visit this page to view a recording of this webinar - http://www.acquia.com/resources/acquia-tv/conference/acquia-managed-cloud-highly-available-architecture-highly
Companies throw terms like public cloud, dedicated cloud and hybrid cloud environment around daily. Everyone’s abuzz about “the cloud” lately, but what does it all really mean? If you’re looking for clarity when it comes to the cloud platform options available to you, this PowerPoint is right up your alley.
This document discusses various ways to optimize costs when using AWS services including using elastic capacity to only pay for resources when they are turned on, choosing the appropriate EC2 instance types, leveraging reserved instances for consistent usage, taking advantage of lower priced spot instances, and using complementary services like SQS that have very low per usage costs. The strategies provided give examples of how to save 25-75% on costs through these optimization techniques.
ConnectWise and eFolder Webinar: From Destruction to Production in 72 HoursDropbox
The document describes how a technology partner named SNC Squared was able to recover from the devastating 2011 Joplin tornado within 72 hours using ConnectWise and eFolder backup and disaster recovery technology. It details how they were able to have their own systems up and running within 5 hours and all client servers recovered by day 3. The document emphasizes the importance of having a disaster recovery plan and backups in place. It showcases how eFolder and ConnectWise solutions helped SNC Squared achieve their goals of minimal downtime and zero client data loss.
This is my deck from Cloud Conference Torino 2013 (http://www.cloudconf.it). I was the post-lunch speaker, so this one is more silly and there was a lot of off-deck riffing, so this is here only for posterity.
I initially planned to speak on cloud-specific stuff, this turned into an intro to MongoDB though.
Building Cost-Aware Cloud Architectures - Jinesh Varia (AWS) and Adrian Cockc...Amazon Web Services
5 ways you can build cost-awareness into your cloud architectures and maximize your savings (business-driven auto scaling, mixing and matching reserved/on-demand, iterating and optimizing fungible resources, follow the customer (run auto scaling web servers) during the day and follow the money (run hadoop and transcoding jobs) at night and soak up your reservations.
The document discusses applying John Boyd's OODA (Observation, Orientation, Decision, Action) loop strategy to IT security decision making. It suggests that IT security currently lacks offensive capabilities and must function like prey, focusing on raising costs for adversaries through rapid change and diversity. This can be achieved through techniques like synthetic provisioning to introduce continuous change at the server level and maintain a "knowledge margin" over adversaries. Maintaining a high rate of change can prevent adversaries from developing effective tactics.
1) Concurrency allows multiple computations to execute simultaneously and potentially interact with each other.
2) Concurrent applications are important for business processes that can benefit from parallel processing like e-commerce and logistics.
3) GPars is a Groovy concurrency library that supports models like actors and dataflow.
This is a slide deck I have created for a session I did during a Microsoft Executive Meeting in Dublin. It is an excerpt of my SaaS/Multi Tenancy workshop that I do regularly at various conferences.
This presentation on disaster recovery was given during the 2012 Data Center World Conference in Las Vegas, NV. Learn more by visiting www.datacenterworld.com.
- The document discusses a presentation about a company called Moves and their digital planning product for homecare companies.
- Moves is a digital planning board that allows homecare companies to better plan logistics in a simple, quick and powerful way compared to other logistical planning solutions.
- The presentation will cover details about their company, product, and technology. It will also discuss deployment and maintenance of the Moves product across multiple customer clusters.
If you're in IT, it's important to understand that your users are fully embracing the cloud. Understanding cloud security including how to utilize API calls safely and securely, the importance of Firewalls (yes, even in the cloud!) as well as ensuring redundancy and availability needs to be kept in the forefront of all cloud deployments. This presentation will help you to talk about cloud security in a non-confrontational way with your users.
Sql server 2012 ha and dr sql saturday bostonJoseph D'Antoni
This document summarizes a presentation about SQL Server 2012 high availability and disaster recovery options. It discusses key disaster recovery terms like RTO and RPO. It then reviews several high availability and disaster recovery solutions for SQL Server including log shipping, database mirroring, failover clustering, replication, and AlwaysOn availability groups. For each solution, it discusses requirements, pros, cons and how they work at a high level. The document concludes by noting some new features for clustering in SQL Server 2012.
Cost Optimisation in the AWS Cloud, Ianni Vamvadelis, Solutions Architect, AWSAmazon Web Services
This document discusses various strategies for optimizing costs when using Amazon Web Services. It covers using elastic capacity to only pay for resources when they are needed. Auto scaling allows adding or removing instances automatically based on demand. Reserved Instances provide significant savings for steady usage by paying upfront. Spot Instances utilize unused capacity at steep discounts but can be interrupted. Various bidding strategies like optimizing for lowest cost or maintaining prices relative to on-demand are presented. Complementary services like SQS can further reduce costs.
A general overview of Reactive programming, including the history of Reactive application development and why this paradigm is the right fit for developing modern software. Explores examples from JavaScript, Scala, Erlang, and Akka.
This document discusses using cloud computing to scale applications dynamically. It provides an example of a tax application that experiences spikes in usage. On-premises, scaling would require manually provisioning additional servers and resources, which is time-consuming and results in idle capacity. The cloud allows automatic scaling of web and application tiers through role instances that can be added or removed as needed. This provides a more cost-effective and dynamic approach to handling variable usage loads.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
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.
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3Data Hops
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
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
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
2. About
me
• Call
me
Azrul
• Solu'on
Architect
at
Experian
Decision
Analy'cs
• In
charge
of
Experian’s
stuff:
– BI
– Business
Ac'vity
Monitoring
– Integra'on
• OSGi
stuff
• Love
to
read
• Black
belt
in
Aikido
• No
concurrency
expert,
–
just
a
wild
enthusiast!!
3. Menu
of
the
day
• Why
concurrency?
• Concurrency
is
hard
• Producer
consumer
• Using
disruptor
• PaUerns
4. Why
concurrency?
• Cloud
• Mul'-‐core
• Mul'-‐channel
• Complex
business
process
5. Concurrency
is
hard!
Wait
for
resource
A
to
be
available
Reserve
resource
A
Wait
for
resource
B
to
be
available
Reserve
resource
B
Use
A
and
B
Release
A
and
B
6. Concurrency
is
hard!
Wait
for
resource
A
Wait
for
resource
B
to
be
available
to
be
available
Reserve
resource
A
Reserve
resource
B
Wait
for
resource
B
Wait
for
resource
A
to
be
available
to
be
available
Reserve
resource
B
Reserve
resource
A
Use
A
and
B
Use
A
and
B
Release
A
and
B
Release
A
and
B
7. Concurrency
is
hard!
Wait
for
resource
A
Wait
for
resource
B
to
be
available
to
be
available
Reserve
resource
A
Reserve
resource
B
Wait
for
resource
B
Stuck
here!
Wait
for
resource
A
to
be
available
to
be
available
Reserve
resource
B
Reserve
resource
A
Use
A
and
B
Use
A
and
B
Release
A
and
B
Release
A
and
B
8. Concurrency
is
hard!
• Random
decisions
in
different
places
influence
each
other
• Influence
each
other
BADLY!
9. Solving
concurrency
with
locking
Wait
for
resource
A
Wait
for
resource
B
to
be
available
to
be
available
Reserve
resource
A
Reserve
resource
B
Monitor
Wait
for
resource
B
Wait
for
resource
A
to
be
available
to
be
available
Reserve
resource
B
Reserve
resource
A
Use
A
and
B
Use
A
and
B
Release
A
and
B
Release
A
and
B
10. Solving
concurrency
with
locking
• Locking
is
done
through
‘monitors’
• OS
or
VM
level
• Like
a
toilet
– If
someone
is
using
it,
everyone
else
has
to
wait
– Acquiring
a
lock
is
generally
SLOW!
11. CAS
to
the
rescue
• CAS
=
Compare-‐And-‐Swap
• ‘Hardware’
level
locking
• Atomic
opera'ons
• Crazy
fast
–
mul'-‐core
friendly
12. CAS
to
the
rescue
–
incremen'ng
a
value
Shared
memory
Get
‘input’
Input
=
21
21
Changed
by
another
Increment
Input
=
21
result
=
22
thread
Compare
Input
=
21
Different
Same
Set
result
=
22
13. CAS
to
the
rescue
• Java
example
AtomicInteger
counter
=
new
AtomicInteger(1);
…
int
currentValue
=
counter.getAndIncrement();
18. Producer
-‐
consumer
• Other
examples
Industry
Producer
Consumer
Banking
Credit
card
User
“credit
applica'on
worthiness”
verifica'on
Insurance
Insurance
Underwri'ng
applica'on
process
Manufacturing
Raw
material
Factory
worker
delivery
19. Producer
-‐
consumer
• Problems
– Producer
is
producing
faster
than
consumer
can
consumer
20. Solu'on
1:
Array
blocking
queue
• Classic
solu'on:
Using
array
blocking
queue
– Producer
would
queue
things
if
consumer
is
slow
– Consumer
can
consume
at
its
own
pace
– If
queue
is
full,
producer
will
be
blocked
21. Solu'on
1:
Array
blocking
queue
• Classic
solu'on:
Using
array
blocking
queue
– Advantage:
Scalability
=
many
consumers
22. Solu'on
1:
Array
blocking
queue
• Main
problem:
– Queue
need
to
be
locked
• For
consumer
to
read
• For
producer
to
write
– Producer
is
blocked
if
queue
is
full
– Lock
=>
Slow
23. Solu'on
2:
Using
ring
buffer
&
CAS
• Producer
will
never
be
blocked
–
we
just
“wrap
around”
the
circular
queue
(write
over
older
entry)
• Elements
of
ring
buffer
are
set
using
CAS
• =>
Ring
buffer
is
very
very
fast
24. Solu'on
2:
Using
ring
buffer
&
CAS
• Ring
buffer
+
CAS
=
Disruptor
• Create
by
LMAX
– Doing
High
frequency
trading
• “100
k
TPS
at
1
ms
latency”
• Disruptor
also
includes
a
few
other
op'miza'ons
26. Loan
applica'on
processing
Applica'on
by
user
Pre-‐bureau
processing
Call
credit
bureau
Approved
/
refer
/
reject
Save
data
27. Loan
applica'on
processing
Applica'on
by
user
Applica'on
by
user
Pre-‐bureau
processing
Pre-‐bureau
processing
Call
credit
bureau
Call
credit
bureau
Approved
/
refer
/
reject
Approved
/
refer
/
reject
Save
data
Save
data
28. Loan
applica'on
processing
Applica'on
by
user
Pre-‐bureau
processing
X
100
every
Call
credit
bureau
second
Approved
/
refer
/
reject
Save
data
29. Loan
applica'on
processing
Applica'on
by
user
Pre-‐bureau
processing
Call
credit
bureau
Approved
/
refer
/
reject
Save
data
30. Loan
applica'on
processing
Applica'on
by
user
Pre-‐bureau
processing
Tedious
in
your
Call
credit
bureau
typical
applica'on
server
(resort
to
JMS)
Approved
/
refer
/
reject
Save
data
31. Loan
applica'on
processing
–
with
Disruptor
Applica'on
by
user
Disruptor
Pre-‐bureau
processing
Call
credit
bureau
Approved
/
refer
/
reject
Save
data
32. Loan
applica'on
processing
–
with
Disruptor
Applica'on
by
user
Disruptor
Handle
‘forking’
Pre-‐bureau
processing
Handle
parallel
users
Handle
‘workflow’
Call
credit
bureau
Approved
/
refer
/
reject
Save
data
33. Loan
applica'on
processing
–
with
Disruptor
Disruptor<MyEvent>
disruptor
=
new
Disruptor<MyEvent>(…);
//read
data
disruptor.handleEventsWith(preBureauProcessing).
//first
do
this
then(callBureau).
//next
do
this
then(
approvedReferReject,
saveData);
//arer
that,
do
these
in
parallel
//run
disruptor
RingBuffer<ValueEvent>
ringBuffer
=
disruptor.start();
//write
(applica'on
by
user)
long
sequence
=
ringBuffer.next();
MyEvent
event
=
ringBuffer.get(sequence);
event.setValue(x);
ringBuffer.publish(sequence);
43. Queue
replacement
• Use
WorkerPool
WorkerPool<ValueEvent>
workerPool
=
new
WorkerPool<ValueEvent>(…);
workerPool.start(…)
;
44. Actors
• A
unit
of
concurrent
computa'on
• From
wikipedia:
– “…
in
response
to
a
message
that
it
receives,
an
actor
can
make
local
decisions,
create
more
actors,
send
more
messages,
and
determine
how
to
respond
to
the
next
message
received”
51. Conclusion
• Disruptor
–
interes'ng
and
‘disrup've’
framework
• Revenge
of
the
“object
oriented
programming”
model
J
• Do
your
own
experiments
• Check
out:
– hUp://code.google.com/p/disruptor/
– hUp://mar'nfowler.com/ar'cles/lmax.html
– hUp://mechani's.blogspot.com/2011/07/dissec'ng-‐
disruptor-‐wiring-‐up.html