A basic overview of implementing workflows via event driven architecture. (Code snippets in ruby on rails)
Confluent provides a platform for modernizing enterprise messaging infrastructure by leveraging Kafka. Kafka uses an immutable log to share data across producers and consumers in a scalable, fault-tolerant, and efficient manner. This allows enterprises to build real-time applications and enable data-in-motion across the organization. Confluent offers tools like Schema Registry, ksqlDB, and connectors to help standardize data, build stream processing applications, and integrate Kafka with other systems.
In this talk by David Ogren, Enterprise Architect at Lightbend, we draw from experiences helping our clients successfully create, migrate to, and manage cloud-native system architectures. We look at some of the common pitfalls and anti-patterns of modernization efforts, and some of the best practices for taking an incremental approach to transforming legacy systems. See the full post with video on the Lightbend blog: https://www.lightbend.com/blog/microservices-kubernetes-application-modernization
The document outlines an agenda for a Dynatrace free trial test drive. It includes an overview of Dynatrace application monitoring, what activities will be done during the test drive, and useful resources. The architecture of the Dynatrace solution is shown, with the Dynatrace server processing data and the frontend server supporting user analysis. Screenshots of the Dynatrace user interface are provided to demonstrate transaction flows, hotspots identification, and performance analysis.
Event Sourcing is supposed to be a great thing: silver bullet; at least. But only if your business case requires it. And if you event-source, you of course need CQRS. Unless you don't. After all, if it's business critical, you really want to use DDD. Enough of the theory? How about some practical introduction to the world of commands, aggregates, events, projectors and process managers? After this session you'll surely have a better idea of what all of this is about. https://www.youtube.com/watch?v=cUXi9fUqWQ0
** Watch the video to accompany these slides: https://www.cloverdx.com/webinars/avoiding-risk-when-moving-legacy-apps-to-cloud ** Legacy systems can be critical to business success, but because they're frequently old, they often don't work well in the modern world and lag behind in features and convenience. Migrating to a more modern system is often viewed as risky and expensive. But it doesn't have to be. Watch this video to discover: - Why would you want to migrate your legacy application to the cloud - Common migration approaches - Ways to make the migration faster and painless - How to minimize risk during the migration process More CloverDX webinars: https://www.cloverdx.com/webinars Twitter: https://twitter.com/cloverdx LinkedIn: https://www.linkedin.com/company/cloverdx/ Get a free 45 day trial of the CloverDX Data Management Platform: https://www.cloverdx.com/trial-platform
A whirlwind tour of Event Driven Architecture, extensibility, Domain Driven Design, Command and Query Responsibility Segregation (CQRS) and Complex Event Processing
Salesforce currently has 150,000 customers across the world who use Salesforce in some capacity. If you are one of those customers, you've likely had to work through how to integrate it with your other back office systems: ERP, Marketing Automation, BI systems, etc. Or perhaps you're a brand new Salesforce customer and are just now trying to understand what options exist for integration. It is undeniable that the rate of integrating with Salesforce is increasing, and extracting the valuable data that is in Salesforce is not always an easy feat when you have to consider how to do this best in your own unique environment. In this webinar, Big Compass and Confluent will talk about the various techniques for getting data out of Salesforce, and how Confluent and Kafka can play an integral role in not only brokering these messages at an incredibly fast and scalable rate, but to also make it very easy to exchange data with Salesforce. YOU WILL LEARN: What integration capabilities exist within Salesforce How Confluent can be used to integrate with Salesforce Techniques in Confluent for pub/sub, streaming, and building business logic using KSQL and Kafka Streams Patterns of Salesforce integration in general and specifically with Confluent Strengths and weaknesses of each pattern and scenarios where they work best WHO SHOULD ATTEND: IT leaders who are looking for the most efficient methods for integration with Salesforce Developers/System Integrators who are interested in seeing Salesforce integration techniques Anyone in the Salesforce ecosystem who is interested in integration REASONS TO ATTEND: Learn about methods of Salesforce integration and explore Confluent’s built-in capabilities if you're considering an off-the-shelf solution
Speakers: David Menninger, SVP and Research Director, Ventana Research + Joanna Schloss, Analytics, Data and Information Management Subject Matter Expert, Confluent Can your organization react to customer events as they occur? Can your organization detect anomalies before they cause problems? Can your organization process streaming data in real time? Real time and event-driven architectures are emerging as key components in developing streaming applications. Nearly half of organizations consider it essential to process event data within seconds of its occurrence. Yet less than one third are satisfied with their ability to do so today. In this webinar featuring Dave Menninger of Ventana Research, learn from the firm’s benchmark research about what streaming data is and why it is important. Joanna Schloss also joins to discuss how event-streaming platforms deliver real time actionability on data as it arrives into the business. Join us to hear how other organizations are managing streaming data and how you can adopt and deploy real time processing capabilities. In this webinar you will: -Get valuable market research data about how other organizations are managing streaming data -Learn how real time processing is a key component of a digital transformation strategy -Hear real world use cases of streaming data in action -Review architectural approaches for adding real time, streaming data capabilities to your applications Watch the recording: https://videos.confluent.io/watch/AoXiYayC1s23awqJBcQvPZ?
Dynatrace is an APM solution that provides deep visibility into application performance across complex, distributed environments. It uses PurePath technology to capture timing and code-level context for all transactions end-to-end. This allows Dynatrace to identify performance issues and their root causes faster than other tools. Dynatrace can monitor Apache Tomcat servers and provide metrics on JVM performance, database queries, requests, and more. It helps diagnose common issues like inefficient database access, microservice problems, and coding issues.
When breaking your monolith into components, services or even functions you must understand WHERE and HOW you break your existing code base and architecture into smaller units to allow it to SCALE, PERFORM and make it EASY enough to operate! This session shows how Dynatrace redefined their architecture; which migration capabilities Dynatrace engineers built into their product; and how the lessons learned can benefit all of us to transform Fearless from Monolith to Serverless!
The document discusses stateful serverless computing and the CloudState project. It begins by outlining some technical requirements for building general-purpose applications in a serverless environment, including support for state management, distributed coordination, and predictable performance. It then introduces CloudState, an open-source project that aims to make stateful serverless applications easier to build by abstracting over complex distributed systems concerns like state management, databases, and infrastructure. CloudState provides client libraries in multiple languages and supports powerful state models and databases. It also handles operations when deployed as a managed service. The document concludes by describing CloudState's architecture, which uses Akka, gRPC, Kubernetes, and databases.
This document discusses designing microservices architectures. It begins by defining microservices as small, autonomous services that work together. The benefits of microservices include continuous innovation, independent deployments, and fault isolation. Challenges include complexity, testing, and service discovery. Key principles in designing microservices are modeling them around business domains, making each independently deployable, and decentralizing all components. Additional topics covered include service boundaries, communication patterns, data management, and monitoring microservices applications. The document provides examples and recommendations for implementing microservices on Azure.
CEP and SOA: An Open Event-Driven Architecture for Risk Management, March 14, 2007, IIT Financial Services 2007, Lisbon, Portugal, Tim Bass, CISSP, Principal Global Architect, Director Emerging Technologies Group
Learn live from one of Rundeck's expert field engineers. Find out why and how so many leading enterprises run their operations with Rundeck.
The document discusses using actors to handle asynchronous requests that require aggregating responses from multiple services. It proposes using a "cameo actor" to encapsulate the request context and define the behavior for handling partial or complete responses. The cameo actor would send the initial requests, set a timeout, and send the final response before shutting down once the work is complete. This approach avoids issues with capturing the correct sender reference and state management compared to using anonymous actors or futures directly.