Lightning talk service mix
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ServiceMix is an integration platform based on Apache Karaf that provides message routing using Apache Camel, message brokering with Apache ActiveMQ, and web services capabilities with Apache CXF. It supports common message exchange patterns and standards like JBI and ESB. Administrators can use JMX for configuration and monitoring and ServiceMix allows exposing EJBs via HTTP.
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Messaging can be used to integrate different systems and applications to work together by transferring data packets asynchronously using customizable formats. It allows for decoupling of publishers and subscribers. RabbitMQ is an open source message broker that implements the AMQP standard for high performance messaging. It can be used from Java applications using the RabbitMQ client library, Apache Camel AMQP component, or Spring AMQP framework.
Differences between JMS and AMQP
JMS and AMQP are both messaging standards but AMQP defines a binary protocol while JMS only defines a Java API. AMQP supports multiple languages and platforms and defines exchange types like direct, fanout and topic for routing messages. It uses bindings between exchanges and queues with routing keys. JMS only supports Java and uses queues with message selectors for routing. AMQP messages have headers and properties sections while JMS divides messages into headers, properties and body.
ActiveMQ interview Questions and Answers
ActiveMQ is an open-source message broker written in Java that uses the Java Message Service (JMS). It provides features that help promote communication between distributed systems. ActiveMQ is often used instead of databases for reliable communication between processes because databases can fall over when handling high volumes of messages, whereas message-oriented middleware like ActiveMQ are optimized to handle large volumes of messages efficiently. Key components of ActiveMQ include KahaDB for fast persistence and JMS, which is an API that supports formal messaging between systems.
WSRM_WriteUp
The document provides an implementation guide for WS-Reliable Messaging (WSRM) in the Verizon SUMS environment. It discusses:
1. Using interceptors on the client and server sides to implement WSRM, ensuring messages are sent and received reliably in the proper order.
2. Key aspects of the server-side Apache CXF setup like interceptor annotations and configurations, endpoint definitions, and resources like policies and WSDLs.
3. The roles of the main interceptors - OutInterceptors, InInterceptors, and FaultInterceptors - in reliably handling messages according to their phase order.
4. An example of a custom PhaseInInterceptor that handles
Axis2
Apache Axis2/C is a web services engine implemented in C that allows for providing and consuming web services. It has an extensible module-based architecture that supports WS-* specifications. Key features include support for one-way and request-response messaging, a module system for extending SOAP processing, and transports like HTTP, TCP, and SMTP. The architecture separates logic and state using an information model and defines phases for processing incoming and outgoing SOAP messages that can be extended through modules and handlers.
RabbitMq
This document discusses RabbitMQ, an open source message broker. It provides the following key points:
1. RabbitMQ accepts messages from publishers and forwards them to queues for consumers to receive asynchronously. This decouples publishers and consumers and provides load balancing and scalability.
2. RabbitMQ supports message durability, routing, clustering for high availability, and has clients for many platforms. It uses AMQP for communication and has a management UI.
3. In RabbitMQ, publishers connect to exchanges, which route messages to queues based on bindings and exchange type (direct or fanout). Consumers then pull messages from queues. This asynchronous queuing approach allows distributed applications over heterogeneous platforms.
Messaging in Java
This document provides an overview of messaging approaches in Java, specifically focusing on JMS and AMQP. It discusses the motivations for messaging, common messaging patterns like point-to-point and publish-subscribe, and compares RPC approaches. The document then dives into details of the JMS API and architecture, common implementations like ActiveMQ, and how Spring supports JMS. It also covers the AMQP protocol and model, implementations like RabbitMQ, and how Spring supports AMQP. Key books on these topics are recommended.
Introduction To RabbitMQ
RabbitMQ is an open source message-broker software that originally implemented the Advanced Message Queuing Protocol (AMQP).it accepts and forwards messages.
Rabbitmq & Kafka Presentation
This document discusses RabbitMQ and Apache Kafka. It provides an overview of AMQP and how it defines features like message orientation, queuing, routing, security and reliability. It also describes RabbitMQ concepts like exchanges, queues, routing and plugins. For Apache Kafka, it explains how it is distributed, replicated and uses commit logs and topics to store messages. It then discusses reliability, performance, clustering and high availability aspects of RabbitMQ and Kafka.
An Introduction to the Message Queuning Technology
Introduction
Introduction to Message and Queue
Message Queue & Purpose
Introduction to Java Message Service(JMS)
JMS Components/ Elements
Message Queue Model
List of Message Oriented Middleware(MOM) available
RabbitMQ and AMQP with .net client library
Overview for RabbitMQ with AMQP protocol and a discussion for the AMQP model with message properties and publish and consume message
types of exchange
main properties of the queue
Apache Camel interview Questions and Answers
Apache Camel is an open source framework for integrating applications and systems. It uses an declarative domain-specific language to configure routing and mediation rules. Components in Camel act as endpoint factories to interact with external systems using different protocols. Routes define the application logic and flow using the Java DSL or XML definitions. Camel provides numerous components out of the box and also allows custom components to be created.
RabbitMQ interview Questions and Answers
RabbitMQ is an open-source message broker software that defines message queues to facilitate communication and data transfer between applications. It uses AMQP as the communication protocol and supports multiple programming languages. Messages are routed to queues based on bindings and routing keys. Channels provide sandboxing within a single connection. RabbitMQ offers features like retries, dead-letter queues, priorities, and persistence to ensure reliable message delivery. It uses a push model and does not use a database to store messages.
Wcf faq
This document contains 26 questions and answers related to Windows Communication Foundation (WCF). It covers topics such as the differences between WCF and ASMX web services, WCF endpoints, hosting options, operation overloading, message exchange patterns, data contract serialization, security modes, instance modes, and addressing in WCF. The questions provide explanations of core WCF concepts and configuration options at an intermediate technical level.
Mule with rabbitmq
RabbitMQ is an open source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or bindings. There are four main exchange types - direct, fanout, topic, and headers. The direct exchange routes messages to queues based on an exact match between the routing key and binding key.
Service Oriented Development With Windows Communication Foundation 2003
This is the presentation on Service Oriented Architecture and Windows Communication Foundation that I gave to the Bartlesville .NET User Group
WSO2 Product Release Webinar Introducing the WSO2 Message Broker
WSO2 held a webinar about releasing version 2.1.0 of their Message Broker product. The webinar covered messaging and scalable messaging systems, distributed message brokers and WSO2 MB's architecture using a distributed publish/subscribe and queues architecture. It also provided an overview of how WSO2 MB implements distributed queues and publish/subscribe using Apache Cassandra for scalable storage and Apache Zookeeper for coordination. Finally, it discussed integrating WSO2 MB with other WSO2 products and provided a user story example.
Apache kafka
Apache Kafka is a fast, scalable, and distributed messaging system. It is designed for high throughput systems and can replace traditional message brokers due to its better throughput, built-in partitioning for scalability, replication for fault tolerance, and ability to handle large message processing applications. Kafka uses topics to organize streams of messages, partitions to distribute data, and replicas to provide redundancy and prevent data loss. It supports reliable messaging patterns including point-to-point and publish-subscribe.
The Art of Message Queues - TEKX
The document discusses message queues and their uses. Message queues allow for asynchronous communication between applications and components. They decouple systems, allow for background processing, and improve scalability. Common use cases for message queues include processing email notifications, auto-scaling cloud applications, handling image/video processing, and interacting with services like Apple Push Notifications.
Similar to Lightning talk service mix (20)
An Introduction to the Message Queuning Technology
An Introduction to the Message Queuning Technology
Service Oriented Development With Windows Communication Foundation 2003
Service Oriented Development With Windows Communication Foundation 2003
WSO2 Product Release Webinar Introducing the WSO2 Message Broker
WSO2 Product Release Webinar Introducing the WSO2 Message Broker
More from André Mayer
Google Go! language
Go is a general-purpose, compiled language that is strongly typed, garbage-collected, and has explicit support for concurrent programming through goroutines and channels. Programs in Go are constructed using packages and the language provides standard types while also allowing functions to return multiple values.
Orient db
An open source NoSQL database that provides 150,000 inserts per second and has no dependencies. It supports document, graph and native JSON data structures and RESTful APIs. It offers ACID transactions with roles and security. It has four storage modes - embedded, client/server, distributed, and in-memory - with embedded mode being very fast by running in the same JVM as the application and in-memory mode keeping the database only in memory for increased speed but losing data at shutdown.
Couch db
CouchDB is a document storage database that stores data as JSON documents. It features RESTful HTTP access to documents, replication across distributed servers, and a web administration interface. Data is stored on disk for safety and CouchDB uses multiversion concurrency control and map-reduce functions to index and query documents.
Sbt - Simple Build Tool
This document discusses setting up and running the sbt build tool on Unix and Windows systems. It explains that sbt projects have the same structure as Maven projects, with a build.sbt file defining dependencies that are either managed and downloaded automatically from repositories or unmanaged jars dropped into a lib directory. It concludes by asking if there are any questions.
Tokyo Cabinet
Tokyo Cabinet is a key-value database manager that provides several database structures like hash, B-tree, fixed-length, and table. It runs quickly on Linux, Solaris, and Mac OS X and offers advantages like small database file sizes, fast processing speeds, high performance in multi-threaded environments, and simple APIs. Benchmark tests showed Tokyo Cabinet was 31 times faster than MySQL for writing and retrieving 10,000 records.
Racket language
This document discusses the Racket programming language, which originated from Lisp and Scheme. Racket aims to provide flexibility for creating domain-specific languages and running on any platform, with features including macros, modules, lexical closures, pattern matching, and tools for graphics, GUI, and web application development. Racket also includes a just-in-time compiler, garbage collector written in C, and IDE called DrRacket that supports multiple operating systems.
Flask - Python microframework
Flask is a simple and small Python web framework created by Armin Ronacher. It is inspired by the Ruby framework Sinatra and focuses on keeping a small core while allowing extensions to add additional functionality through a plug-and-play approach. Flask uses Jinja2 as its templating engine and the WSGI interface to handle HTTP requests and responses and route URLs.
clj http
Clj-http is a Clojure HTTP library that provides functions to execute HTTP operations like GET, HEAD, PUT, POST and DELETE using Ring-style middleware. It is inspired by Ring and designed for simplicity and testability, with support provided by the creator Mark McGranaghan through examples on hands-on usage with Leiningen and project.clj files.
clojure Fountain jdbc
Fountain-JDBC is a Clojure wrapper for Spring-JDBC that provides functionality for parameterized SQL statements, transactions, and database actions and CRUD operations through dbaction.clj, dbcrud.clj, and executor.clj files.
Dwr
DWR is a Java library that enables bidirectional communication between Java code running on a server and JavaScript running in a web browser. It allows JavaScript to directly call methods on Java objects running on the server and the Java code to asynchronously call JavaScript functions. DWR handles all of the data serialization and transport between the two environments using JSON.
Jav ate
JavATE is a set of Java libraries that enable application development using domain-driven design principles. It is based on the ZK framework for building web applications and works well with ORM technologies like Hibernate. The core libraries include DominATE for domain modeling, ApplicATE for application services, and GuidATE for graphical user interfaces.
javATE
JavATE is a set of Java libraries that enable application development using domain-driven design principles. It is based on the ZK framework for building web applications and works well with ORM technologies like Hibernate. The core libraries include DominATE for domain modeling, ApplicATE for application services, and GuidATE for graphical user interfaces.
Clojure lang
This document contains examples of functions in Clojure for working with characters, strings, and arrays. It shows using char? to check if a value is a character, format to format output as hexadecimal, char-array to create a character array, chars and doubles to print the contents of character and double arrays respectively.
More from André Mayer (14)
Recently uploaded
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Dandelion Hashtable: beyond billion requests per second on a commodity server
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).
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Building Production Ready Search Pipelines with Spark and Milvus
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.
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
AWS Cloud Cost Optimization Presentation.pptx
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.
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
A Comprehensive Guide to DeFi Development Services in 2024
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!
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
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
Trusted Execution Environment for Decentralized Process Mining
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Digital Marketing Trends in 2024 | Guide for Staying Ahead
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Recently uploaded (20)
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
WeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation Techniques
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
A Comprehensive Guide to DeFi Development Services in 2024
A Comprehensive Guide to DeFi Development Services in 2024
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Trusted Execution Environment for Decentralized Process Mining
Trusted Execution Environment for Decentralized Process Mining
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Lightning talk service mix
- 6. Enterprise Service Bus(ESB) An ESB (Enterprise Service Bus) provides the infrastructure for realising service-oriented architecture.