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spring + summer
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Inaki Fernandez
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- [Apache Camel K](#apache-camel-k)
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- [KubeMQ message broker](#kubemq-message-broker)
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- [Google Cloud Platform Pub/Sub](#google-cloud-platform-pubsub)
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- [JMS Message Queue vs. Apache Kafka](#jms-message-queue-vs-apache-kafka)
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- [Cloud Based Integration. Integration Platform-as-a-Service (iPaaS) solutions](#cloud-based-integration-integration-platform-as-a-service-ipaas-solutions)
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- [Red Hat Fuse and Red Hat Fuse Online](#red-hat-fuse-and-red-hat-fuse-online)
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- [Syndesis open source integration platform](#syndesis-open-source-integration-platform)
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@@ -99,6 +100,11 @@
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- [thenewstack.io: The Path to Getting the Full Data Stack on Kubernetes](https://thenewstack.io/the-path-to-getting-the-full-data-stack-on-kubernetes/)
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- [medium.com/tinyclues-vision: 4 Design Principles for Robust Data Pipelines](https://medium.com/tinyclues-vision/4-design-principles-for-robust-data-pipelines-5bbd40de4a43) Design Principles for traditional Software Engineering quickly fail when working with large and diverse sets of data — a new way of thinking about this difference.
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- [medium.com/fiverr-engineering: How to Share Data Between Microservices on High Scale](https://medium.com/fiverr-engineering/how-to-share-data-between-microservices-on-high-scale-ab2bc663898d) Several approaches suitable for a scalable system considering tradeoffs between availability and consistency
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- [medium.com/codex: Microservices Communication — Queues Topics and Streams](https://medium.com/codex/microservices-communication-queues-topics-and-streams-597664d4b786) In this article, I will speak about types of messages broker that are famous in microservices communication.
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- [blog.bitsrc.io: Why Microservices Should use Event Sourcing 🌟](https://blog.bitsrc.io/why-microservices-should-use-event-sourcing-9755a54ebfb4) 6 Reasons where you need to use Event Sourcing in Micro-services
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- [==emirayhan.medium.com: What is the difference Message Queue and Message Bus?== 🌟](https://emirayhan.medium.com/what-is-the-difference-message-queue-and-message-bus-7f2e2867eff6)
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- [verraes.net: DDD and Messaging Architectures 🌟](https://verraes.net/2019/05/ddd-msg-arch/) **An overview of my different series on patterns in distributed systems. A good collection of Messaging Patterns**
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## RPC vs Messaging
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- [particular.net: RPC vs. Messaging – which is faster?](https://particular.net/blog/rpc-vs-messaging-which-is-faster)
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@@ -107,6 +113,7 @@
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- [Dzone: Introduction to Message Brokers. Part 1: Apache Kafka vs. RabbitMQ](https://dzone.com/articles/introduction-to-message-brokers-part-1-apache-kafk)
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- [Dzone: Introduction to Message Brokers. Part 2: ActiveMQ vs. Redis Pub/Sub](https://dzone.com/articles/introduction-to-message-brokers-part-2-activemq-vs)
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- [developers.redhat.com: Choosing the right asynchronous-messaging infrastructure for the job](https://developers.redhat.com/blog/2020/07/31/choosing-the-right-asynchronous-messaging-infrastructure-for-the-job/)
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- [medium.com/@codeeverywhere: Redis vs Kafka vs RabbitMQ](https://medium.com/@codeeverywhere/redis-vs-kafka-vs-rabbitmq-43eeec82bafb)
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### ActiveMQ message broker
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- [ActiveMQ 5.x "classic"](https://activemq.apache.org/components/classic/)
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### Redis message broker
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- [Redis](https://redis.io/)
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- [Redis Pub/sub](https://redis.io/topics/pubsub)
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- [betterprogramming.pub: The Perfect Message Queue Solution Based on the Redis Stream Type](https://betterprogramming.pub/the-perfect-message-queue-solution-based-on-the-redis-stream-type-ccf273554178)
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### Apache Camel message broker
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- [Apache Camel](https://camel.apache.org/) Camel is an Open Source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data. In version 3 we use <5MB memory, including the JVM. Also reflection free, low GC, super modular, native compilation friendly.
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- [Google Cloud Platform Pub/Sub](https://cloud.google.com/pubsub/docs/overview)
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- [A generic framework of concurrent consumers for Google Cloud Platform Pub/Sub 🌟](https://towardsdatascience.com/a-python-implementation-of-concurrent-consumers-for-google-cloud-platform-pub-sub-991ae8b9841d) An example shows how to publish messages to Pub/Sub and build a service to consume the messages concurrently using the Python multiprocessing module
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### JMS Message Queue vs. Apache Kafka
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- [==kai-waehner.de: Comparison: JMS Message Queue vs. Apache Kafka==](https://www.kai-waehner.de/blog/2022/05/12/comparison-jms-api-message-broker-mq-vs-apache-kafka/)
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## Cloud Based Integration. Integration Platform-as-a-Service (iPaaS) solutions
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- [Wikipedia: Cloud Based Integration (iPaaS)](https://en.wikipedia.org/wiki/Cloud-based_integration)
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- Integration Platform as a Service (iPaaS) is a suite of cloud services enabling development, execution and governance of integration flows connecting any combination of on premises and cloud-based processes, services, applications and data within individual or across multiple organizations.
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- [developers.redhat.com: Which is better: A single Kafka cluster to rule them all, or many?](https://developers.redhat.com/articles/2022/03/10/which-better-single-kafka-cluster-rule-them-all-or-many#)
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- [medium.com/dna-technology: Why we dropped event sourcing with Kafka Streams when given a second chance](https://medium.com/dna-technology/why-we-dropped-event-sourcing-with-kafka-streams-when-given-a-second-chance-b904a80bc4be)
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- [==kai-waehner.de: When NOT to use Apache Kafka?==](https://www.kai-waehner.de/blog/2022/01/04/when-not-to-use-apache-kafka/)
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- [betterprogramming.pub: Everything You Need To Know About Kafka 🌟](https://betterprogramming.pub/everything-you-need-to-know-about-kafka-a83e2456d14c) A simple guide for beginners
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- [==learnk8s.io/kafka-ha-kubernetes: Designing and testing a highly available Kafka cluster on Kubernetes== 🌟](https://learnk8s.io/kafka-ha-kubernetes) **Learn how to design a Kafka cluster to achieve high availability using standard kubernetes resources and test how it tolerates maintenance and total node failures**
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- [blog.developer.adobe.com: Exploring Kafka Producer’s Internals 🌟](https://blog.developer.adobe.com/exploring-kafka-producers-internals-37411b647d0f) This is the first part of a series where we explore Kafka client's internals. This post focuses on the Kafka Producer.
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- [medium.com/altitudehq: Kafka retries and maintaining the order of retry events 🌟](https://medium.com/altitudehq/kafka-retries-and-maintain-order-of-retry-events-313482044351)
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- [medium.com/cloudnesil: Kafka Streams State Store at Scale](https://medium.com/cloudnesil/kafka-streams-state-store-at-scale-390d9717b42a) Managing Interactive Queries on multiple application instances Alternative solutions and their comparisons.
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- [towardsdev.com: Performance Testing Your Kubernetes Kafka Cluster](https://towardsdev.com/performance-testing-your-kubernetes-kafka-cluster-95f6e7d8dfc5) In this article, you will learn how to benchmark Apache Kafka instances running on Kubernetes against parallel loads.
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#### Kafka Tools
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- [Kafdrop – Kafka Web UI 🌟](https://github.com/obsidiandynamics/kafdrop)
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@@ -331,6 +348,7 @@ comsysto about their usage of Debezium, touching on many details like outbox pat
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- [strimzi.io: Using Open Policy Agent with Strimzi and Apache Kafka](https://strimzi.io/blog/2020/08/05/using-open-policy-agent-with-strimzi-and-apache-kafka/)
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- [strimzi/strimzi-canary](https://github.com/strimzi/strimzi-canary) This repository contains the Strimzi canary tool implementation. It acts as an indicator of whether Kafka clusters are operating correctly. This is achieved by creating a canary topic and periodically producing and consuming events on the topic and getting metrics out of these exchanges.
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- [medium: Mastering Apache Kafka on Kubernetes — Strimzi K8s operator](https://medium.com/hacking-talent/mastering-apache-kafka-on-kubernetes-strimzi-k8s-operator-2c1d21d7b89a)
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- [medium.com/@ahmed.farhan: Kafka Setup in Kubernetes Using Strimzi K8s operator — Part 2](https://medium.com/@ahmed.farhan/kafka-setup-in-kubernetes-using-strimzi-k8s-operator-part-2-1f67dbe5f14d)
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<center>
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[](https://medium.com/convoy-tech/logs-offsets-near-real-time-elt-with-apache-kafka-snowflake-473da1e4d776)
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- [youtube: Airflow Helm Chart : Quick Start For Beginners in 10mins](https://www.youtube.com/watch?v=GDOw8ByzMyY&ab_channel=MarcLamberti)
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- [snowflake.com: Migrating Airflow from Amazon EC2 to Kubernetes](https://www.snowflake.com/blog/migrating-airflow-from-amazon-ec2-to-kubernetes/)
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- [dev.to: Get started with Apache Airflow](https://dev.to/arunkc/get-started-with-apache-airflow-1218)
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- [betterprogramming.pub: Running Airflow Using Kubernetes Executor and Kubernetes Pod Operator with Istio](https://betterprogramming.pub/running-airflow-using-kubernetes-executor-and-kubernetes-pod-operator-with-istio-d5aa7af16ef5) There are many obstacles when you deploy Airflow with the Kubernetes executor, Pod Operator and Istio since the Istio proxy sidecar makes the worker pod hang and run forever. In this article, you will learn how to overcome that.
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- [towardsdatascience.com: Apache Airflow Architecture 🌟](https://towardsdatascience.com/apache-airflow-architecture-496b9cb28288) A deep dive into Apache Airflow architecture and how it orchestrates workflows
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### Couler
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- [Couler](https://github.com/couler-proj/couler) Couler aims to provide a unified interface for constructing and managing workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
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@@ -456,6 +476,7 @@ Red Hat AMQ 7|JBoss AMQ 7 (Broker) or Red Hat AMQ 7 Suite|Apache ActiveMQ Artemi
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- [faun.pub: Scaling an app in Kubernetes with KEDA (no Prometheus is needed)](https://faun.pub/keda-ec9fc7c8dd81)
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- [itnext.io: Event Driven Autoscaling](https://itnext.io/event-driven-autoscaling-503b5cefaa49) KEDA expands the capabilities of Kubernetes by managing the integration with external sources allowing you to auto-scale your Kubernetes Deployments based on data from both internal and external metrics.
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- [medium.com/@casperrubaek: Why KEDA is a game-changer for scaling in Kubernetes](https://medium.com/@casperrubaek/why-keda-is-a-game-changer-for-scaling-in-kubernetes-4ebf34cb4b61) KEDA makes it possible to easily scale based on any metric imaginable from almost any metric provider and is running at a massive scale in production in the cloud at some of the largest corporations in the world.
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- [levelup.gitconnected.com: Scale your Apps using KEDA in Kubernetes](https://levelup.gitconnected.com/scale-your-apps-using-keda-in-kubernetes-a1f2142ecc20)
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## Integration Platform as a Solution (iPaaS). Platforms for collecting, storing and routing customer event data
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- [quandarycg.com: Everything You Need To Know About System Integration (And IPaaS) 🌟](https://quandarycg.com/everything-you-need-to-know-about-integrations/)
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<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Pub-Sub ≠ Partitioning ≠ Multiplexing <a href="https://t.co/0ZVaH9Mxvr">pic.twitter.com/0ZVaH9Mxvr</a></p>— Clemens Vasters 🇪🇺☁📨 (@clemensv) <a href="https://twitter.com/clemensv/status/1288152399211909120?ref_src=twsrc%5Etfw">July 28, 2020</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
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<blockquote class="twitter-tweet"><p lang="en" dir="ltr">We are excited to announce that KubeMQ community version is now available as an open-source project!<br><br>The community version supports all messaging patterns, connectors, bridges, and run in production. Give us a star on Github if you like our project!<a href="https://t.co/0ufRQ5bhCE">https://t.co/0ufRQ5bhCE</a></p>— KubeMQ (@KubeMq) <a href="https://twitter.com/KubeMq/status/1436284885132529707?ref_src=twsrc%5Etfw">September 10, 2021</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
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<blockquote class="twitter-tweet"><p lang="en" dir="ltr">How do we design a system using the 𝐞𝐯𝐞𝐧𝐭 𝐬𝐨𝐮𝐫𝐜𝐢𝐧𝐠 paradigm? How is it different from normal system design? What are the benefits? We will talk about it in this post. <a href="https://t.co/PhKNDDCmMv">pic.twitter.com/PhKNDDCmMv</a></p>— Alex Xu (@alexxubyte) <a href="https://twitter.com/alexxubyte/status/1539999422485913600?ref_src=twsrc%5Etfw">June 23, 2022</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
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</center>
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</details>
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