Integrating Postgres with ActiveMQ and Camel

"So, you have built/inherited/discovered one of your many Kafka clusters. How now do you know that it is good enough to sustain and grow your applications? Do you stress test it as a data store, a messaging system, as middleware, or like a REST API? Or are you in production and worried about the next unprecedented surge? Find out from those who have asked and answered before. Repeatable, and recordable stress testing for Kafka is a challenge for novices and some legends. Real supplies like storage, compute, network, threads etc. do not naturally map to demands of messages, bytes, and milliseconds. In the session, we will cover ways to: * Define parameters and variables before beginning * Accommodate for changing conditions - brokers, applications, config, network * Overlap infrastructure, test design, latency, and throughput * Meet cost, service level agreements, and multi-tenancy needs while testing * Do it all without entirely relying on estimation, and extrapolation We will also discuss common and innovative practices observed in the industry to meet this challenge. At the end of the session, you would walk away with the knowledge needed to set up a repeatable stress test suite without stress."

Badai Aqrandista, Confluent, Senior Technical Support Engineer This session will be about a common issue in the Kafka Producer: producer batch expiry. We will be discussing the Kafka Producer internals, its common causes, such as a slow network or small batching, and how to overcome them. We will also be sharing some examples along the way! https://www.meetup.com/apache-kafka-sydney/events/279651982/

"I will be presenting how we do the smart/automated capacity management on Multi-tenant Kafka cluster in Booking.com. It was a long journey. In this end to end story, I will be presenting what the issues were at the beginning, how we came up with a plan, designed, implemented, and applied to our existing clusters smoothly, now how the clients can monitor and even get alerted before their reserved capacity has been reached. What were the challenges and our learnings? What is next? Why? In Booking.com, the infra team manages 60 different Kafka clusters with hundreds of topics in each. There are clusters running with hundred brokers. As there are hundreds of Kafka clients from tens of different departments, it is high likely some of the clients start abusing the cluster. Especially during peak times, when the retention was set as retention.ms, or when the underlying message size changes, it is hard to predict what would be the occupied storage in total. Finding the relevant clients, deciding which data to discard, dealing with so many unknowns in a short period of time can be hassle. Also these are not fun activities but just a toil for the team. What? To avoid such boring issues, the team has chosen the path to build a smart mechanism and have quotas in place. It helped saving time developing new features instead of chasing people to resolve collisions. You can think that as an extension to the built-in throttling producer/consumer rate limits provided by the Apache Kafka, but it is much more than that. There are several components will be explained during the presentation one of them is our control plane (custom built) which manages the communication between clients and servers and does many things automated. Another one is the Custom Policies that we plugged in on the Kafka side to validate the configuration even tried (malicious configuration) on the server side. The talk guarantees learning and shows examples of Kafka at scale problems in Booking.com."

Flink Forward San Francisco 2022. The Apache Flink Kubernetes Operator provides a consistent approach to manage Flink applications automatically, without any human interaction, by extending the Kubernetes API. Given the increasing adoption of Kubernetes based Flink deployments the community has been working on a Kubernetes native solution as part of Flink that can benefit from the rich experience of community members and ultimately make Flink easier to adopt. In this talk we give a technical introduction to the Flink Kubernetes Operator and demonstrate the core features and use-cases through in-depth examples." by Thomas Weise

【適用於 FHIR R4 版本】 簡介 FHIR 資料結構，使用 Postman 測試 API 並且實作臨床檢驗資料與病人資料登錄表單／管理系統。 本著作係採用創用 CC 姓名標示-相同方式分享 4.0 國際 授權條款授權， （授權網址：https://creativecommons.org/licenses/by-sa/4.0/deed.zh_TW） 歡迎多加參考與利用。

Co-Founder Peter Mattis presented this deck to the NYC PostgreSQL User Group on Nov. 4, 2015. It compares PostgreSQL to CockroachDB SQL- logical data structures, kv layers, data storage, online schema changes, and more.

Presented by Gwen Shapira as part 1 of 5 in the Best Practices for Apache Kafka in Production, Confluent Online Talk Series

This document summarizes a benchmark study of file formats for Hadoop, including Avro, JSON, ORC, and Parquet. It found that ORC with zlib compression generally performed best for full table scans. However, Avro with Snappy compression worked better for datasets with many shared strings. The document recommends experimenting with the benchmarks, as performance can vary based on data characteristics and use cases like column projections.

The document compares Vault Open Source and Vault Enterprise. Vault Open Source provides centralized secrets management and dynamic secrets within a single datacenter. Vault Enterprise adds replication across datacenters for disaster recovery, team tools like namespaces and control groups, and governance/compliance features like Sentinel policy enforcement and FIPS compliance.

Apache Kafka is one of the best known enterprise grade message brokers – created at LinkedIn, donated to the Apache software foundation and used in an ever growing number of organizations to provide a backbone for asynchronous communication. This session introduces Apache Kafka – history, concepts, community and tooling. In a hands on lab, participants will create topics, publish and consume messages and get a general feel for Kafka. Simple microservices are developed in NodeJS – publishing to and consuming from Apache Kafka. Dapr.io has support for Apache Kafka. Using Kafka through Dapr is very straightforward as is explained and demonstrated and applied in a second handson lab – with applications in various programming languages. Participants will even be able to exchange events across their laptops – through a cloud based Kafka broker. Use of Apache Kafka in several architecture patterns is discussed – such as data integration, microservices, CQRS, Event Sourcing – along with a number of real world use cases from several well known organizations. The Kafka Connector framework is introduced – a set of adapters that allow us to easily connect Kafka to sources and sinks – where respectively change events are captured from and messages are published to. Bonus Lab: Apache Kafka is ran on Kubernetes as is Dapr.io. Multiple mutually interacting microservices are deployed on the same local Kubernetes cluster.

This document discusses HashiCorp Vault, a tool for secrets management. It was founded in 2012 and enables provisioning, securing, connecting, and running infrastructure for applications across clouds. The document outlines how Vault provides centralized management of dynamic secrets, encryption as a service, and secure storage of secrets. It also describes Vault Enterprise features like replication, team tools for access control and multi-factor authentication, and governance/compliance features like Sentinel rules. An example case study of Adobe using Vault is also provided.

This session will quickly show you how to describe the security configuration of your Kafka cluster in an AsyncAPI document. And if you've been given an AsyncAPI document, this session will show you how to use that to configure a Kafka client or application to connect to the cluster, using the details in the AsyncAPI spec.

Faceted search is a powerful technique to let users easily navigate the search results. It can also be used to develop rich user interfaces, which give an analyst quick insights about the documents space. In this session I will introduce the Facets module, how to use it, under-the-hood details as well as optimizations and best practices. I will also describe advanced faceted search capabilities with Lucene Facets.

Building Cloud-Native App Series - Part 3 of 11 Microservices Architecture Series AWS Kinesis Data Streams AWS Kinesis Firehose AWS Kinesis Data Analytics Apache Flink - Analytics

Flink Forward San Francisco 2022. Resource Elasticity is a frequently requested feature in Apache Flink: Users want to be able to easily adjust their clusters to changing workloads for resource efficiency and cost saving reasons. In Flink 1.13, the initial implementation of Reactive Mode was introduced, later releases added more improvements to make the feature production ready. In this talk, we’ll explain scenarios to deploy Reactive Mode to various environments to achieve autoscaling and resource elasticity. We’ll discuss the constraints to consider when planning to use this feature, and also potential improvements from the Flink roadmap. For those interested in the internals of Flink, we’ll also briefly explain how the feature is implemented, and if time permits, conclude with a short demo. by Robert Metzger

Loki is a horizontally-scalable, highly-available log aggregation system inspired by Prometheus. It is designed to be very cost-effective and easy to operate, as it does not index the contents of the logs, but rather labels for each log stream. In this talk, we will introduce Loki, its architecture and the design trade-offs in an approachable way. We’ll both cover Loki and Promtail, the agent used to scrape local logs to push to Loki, including the Prometheus-style service discovery used to dynamically discover logs and attach metadata from applications running in a Kubernetes cluster. Finally, we’ll show how to query logs with Grafana using LogQL - the Loki query language - and the latest Grafana features to easily build dashboards mixing metrics and logs.

So you know you want to write a streaming app, but any non-trivial streaming app developer would have to think about these questions: – How do I manage offsets? – How do I manage state? – How do I make my Spark Streaming job resilient to failures? Can I avoid some failures? – How do I gracefully shutdown my streaming job? – How do I monitor and manage my streaming job (i.e. re-try logic)? – How can I better manage the DAG in my streaming job? – When do I use checkpointing, and for what? When should I not use checkpointing? – Do I need a WAL when using a streaming data source? Why? When don’t I need one? This session will share practices that no one talks about when you start writing your streaming app, but you’ll inevitably need to learn along the way.

This is a classic example of older technology not being used to its fullest, which Justin proves by walking through little-known configuration and optimization tricks that get data flowing reliably and efficiently – even for today’s complexity and scale. This session covers: A – Camel basics, understanding Exchanges, Routes, and how to implement EIPs with them B – Examples of real implementations of common EIPs like Content Based Routers and Recipient Lists C – Integration of Camel with common endpoints, like JMS, FTP, and HTTP

The modern enterprise landscape is a hybrid of heterogeneous technologies and disparate endpoints. In this session, we’ll discuss ways that you can leverage the flexibility and sophistication of ActiveMQ’s message processing and Camel’s normalized routing to federate your front-end applications with back end services. Beyond integration, we’ll discuss the user experience benefits that come with processing tasks asynchronously, rather than forcing a user to wait for a task to complete interactively. The ActiveMQ and Camel communities have made innovative leaps in the last few years, and we’ll look at what is available to you within these powerful, open source platforms.

Java SE is ideal for building lightweight microservices and those services are increasingly being deployed to the cloud. Cloud platforms are attractive deployment targets due to their high availability, affordability, ease of management, and access to services like object storage, messaging, and databases. And when well architected, Cloud Java apps exhibit a number of qualities like portability, updatability, configurability, composability, and scalability.

This talk was presented at the Kafka Meetup London meeting on 20 January 2016. You can find more information about Message Hub here: http://ibm.biz/message-hub-bluemix-catalog

MySQL Shell is an interactive multi-language console interface that supports development and administration for the MySQL Server. It can be used to perform data queries or updates, and administration operations through scriptable DevOps APIs. It is by nature a unified interface for all DevOps tasks related to MySQL, supporting SQL, JavaScript and Python, with an extensive set of features for both developers and DBAs. This session demonstrates how can a DevOps-engineer day be better with the MySQL Shell. From the development tasks to the operations, culminating in the management of MySQL InnoDB Cluster (The HA solution for MySQL) with the most recent and advanced features. Session presented at pre-FOSDEM MySQL Day 2019 (https://lefred.be/content/pre-fosdem-mysql-day-2019/)

A sound back-end framework plays a crucial role in architecting a high-performing application. Check out the most popular back-end frameworks that you need to consider in 2022 - Laravel with 67,902 repository stars, Django with 61.614 stars, Flask with 57.681 stars, ExpressJS with 55.520 stars, Ruby on Rails with 49,840 stars, and Spring with 45,609 stars.

Whether starting from greenfield or modernizing existing infrastructure, how do you remove the guesswork in deploying and maintaining cloud-based, business-critical workloads? From architectural decisions to fine-tuning scale and performance, our open source architects explain how top enterprises build and maintain their open source stacks, focusing on operational agility and cost-effectiveness. You will walk away with real use case examples and five ways to better plan and deliver your next cloud strategy.

Apache Camel is eight years old, and some say it's effectiveness as the glue between components has diminished. "Our open source experts say, "Not so!" This is a classic example of older technology not being used to its fullest in favor of the latest and greatest. By walking through little known configuration and optimization tricks to get data flowing reliably and efficiently - even for today's complexity and scale - this session proves that older technology is often still the best solution.

WebSphere Application Server has flexible deployment options for cloud environments. It can run on IBM public clouds with BYOSL or PAYG models, as well as on SoftLayer's dedicated or virtual private clouds. A current promotion allows customers to use their existing WebSphere Application Server licenses on SoftLayer at no additional charge. This provides opportunities to leverage cloud economics while maintaining control and security on premise.

MuleSoft Surat Virtual Meetup#25 - Anypoint Platform Features and Capabilities - API Proxy and API Auto Discovery

The document discusses monolithic applications and microservices. It defines monoliths as traditional applications developed to best practices at the time that were not designed to be distributed. Microservices are defined as independently deployable services that work together and are modeled around business domains. The document discusses how Amazon transformed from monoliths to microservices and describes benefits of microservices like improved modularity, scalability, and faster release cycles. It also covers microservice design principles like bounded contexts and messaging patterns to connect microservices using services like SNS and SQS.

This isn’t your typical case study, this is the reality of open source: One hundred percent of organizations use varying degrees of OSS, yet we still focus on one particular package or layer when it comes to sharing best practices. The reality is, when we get stuck, it’s the configuration and operational interrelationships between packages that matter. This session takes open source support data across multiple organizations to examine three different scenarios that represent the most common issues we see today (in fact, 80% of the cases we see are due to configuration and package interrelationship issues). Justin Reock covers e-commerce, mobile PaaS, and high performance computing examples to illustrate top problems and solutions for stack selection, infrastructure implementation, and production troubleshooting.

Open Source Applied - Real World Use Cases Justin Reock Rogue Wave Software - Lead Architect of OSS Support and Services To find more by Rogue Wave Software: https://www.slideshare.net/RogueWaveSoftware

This document discusses whether and how to build microservices. It includes: 1) Presentations by Sanjay Goil, VP of Product Management at Oracle, and Paul Parkinson, Cloud Platform Dev Lead at Oracle on microservices and building a sample microservices application. 2) Recommendations from Oracle ACEs Guido and Rolando on microservices approaches and modernizing existing SOA architectures for microservices. 3) A discussion of how a converged database can simplify building microservices by supporting messaging, multiple data types, and cloud services. 4) A demo of building a microservices application for a food delivery app using technologies like Helidon and a converged database.

This slide deck was originally used for a Lightning Talk on integrating MongoDB into a Cloud Foundry application at MongoDB World 2015. It contains an overview of Cloud Foundry, as well as an explanation of where the MongoDB service fits into the technology stack.

Want to integrate MongoDB into your Cloud Foundry App? Learn exactly how to do that with Bluemix Developer Advocate Jake Peyser! Follow him @Jakepeyser.

Jules Damji and Denny Lee from Databricks Developer Relations will recap some keynote highlights, and each will briefly present personal picks from sessions that resonated well with them. Next, Jacek Laskowski, an independent consultant, will speak about Spark 3.0 internals, and Scott Haines from Twilio, Inc. will give a talk about structured streaming microservice architectures. This live coding session and technical deep dive are not to be missed!

This document provides an overview of cloud computing and its relevance to IoT. It discusses various cloud storage models and APIs that enable communication with cloud services. It introduces the WAMP protocol for building publish-subscribe and RPC-based distributed apps for IoT. The document also covers using the Xively cloud platform and Django web framework for developing IoT apps. Key topics include cloud computing concepts, types of cloud services, advantages of cloud, and getting started with Django projects, apps, databases and models.

Migrating to a microservices architecture isn't the easy utopia we hoped for. Success requires a combination of technical architecture, automation, and development methodology that all relate closely to Agile and DevOps. This presentation discusses patterns for team structure, CI/CD pipelines, and test automation that will help you successfully deliver solutions using microservices. Presented at AgileDC, Sept 2019

The document discusses Oracle's Application Container Cloud Service, a new cloud platform for deploying containerized applications. It provides benefits like productivity for developers, enabling DevOps practices through integration with Oracle Developer Cloud Service, and automating infrastructure provisioning and application lifecycle management. Developers can build applications, package them into a ZIP file along with configuration files, and deploy them elastically on the container cloud which supports polyglot applications and automatic scaling. The platform simplifies deploying modern, cloud-native applications on containers.

After a quick refresher on deep learning and the composition of deep neural networks, drill down into how AirBnb, GE Healthcare, and Comma AI leverage various open source machine learning frameworks to achieve their goals. With a focus on TensorFlow, we’ll investigate the development process and decisions made by these three successful implementations of machine learning for real world applications. WMCPA Quarterly

New monetization models such as open core have presented questions for IT professionals. Do we stick with the freedom and agility of community releases, or do we pay for the enterprise counterparts? Explore patterns in Enterprise Edition add-ons, look at some concrete examples such as Confluent vs. Kafka, and be better prepared to decide where you spend your open source license dollars.

Learn to leverage the power of server-side Javascript with this Node.js introductory tutorial. We’ll dive into Node’s architecture and understand the build and dependency management systems involved. Several modules for Node will be demoed, and we’ll learn how to debug Node applications within an IDE. You’ll come away with an understanding of what sets Node apart from traditional Javascript, it’s inherently asynchronous and event-driven architecture, and take a look at some real world applications built on Node.

Learn how to modernize your Java application monitoring and dashboarding with Prometheus and Grafana. There's a lot of information out there when it comes to monitoring a Kubernetes cluster with Prometheus, but, in the modern enterprise landscape, applications are still what matters. Learn how to leverage Prometheus and Grafana to build slick, modern monitoring dashboards and threshold logic for Java applications.

The document provides an introduction to React, a JavaScript library for building user interfaces. It discusses key React concepts like components, properties, state, one-way data flow, and JSX syntax. It also covers setting up a development environment with Create React App and shows how to create a basic React component with state. The target audience appears to be people new to React who want to learn the fundamentals.