Cloudera

MARCH 15, 2023

In this post, I will demonstrate how to use the Cloudera Data Platform (CDP) and its streaming solutions to set up reliable data exchange in modern applications between high-scale microservices, and ensure that the internal state will stay consistent even under the highest load. Introduction Many modern application designs are event-driven.

Data 87

Data Microservices Storage Applications 87

Instaclustr

APRIL 20, 2023

How Do Kafka Concurrency and Throughput Work? Apache Kafka ® is a high-throughput, low-latency distributed streaming platform. It enables messages to be sent from multiple distributed producers via the distributed Kafka cluster and topics, to multiple distributed consumers. Is there a limit?

Scalability 57

Scalability Performance Software Review Groups 57

OpenCredo

JULY 20, 2021

RabbitMQ is a popular open source message broker which works by pushing messages to consumers. Consumer process and acknowledge each message, after which, the message is removed from the queue. This architectural approach and implementation has implications for consumers. Kafka Overview.

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Instaclustr

OCTOBER 11, 2021

In the ever-growing field of big data, Apache Kafka has become a widely adopted distributed streaming platform. From message queuing to event streaming, Apache Kafka delivers on a wide range of use cases. Its high throughput, scalability, and fault tolerance make it the clear-cut choice as an open source event handler.

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Azure Open Source Comparison Scalability 62

Confluent

MAY 7, 2019

Every developer who uses Apache Kafka ® has used a Kafka consumer at least once. Although it is the simplest way to subscribe to and access events from Kafka, behind the scenes, Kafka consumers handle tricky distributed systems challenges like data consistency, failover and load balancing.

Data 111

Data Groups Scalability Windows 111

Cloudera

OCTOBER 25, 2021

With the launch of the Cloudera Public Cloud 7.2.12, the Streams Messaging for Data Hub deployments have gotten some interesting new features! From this release, Streams Messaging templates will support scaling with automatic rebalancing allowing you to grow or shrink your Apache Kafka cluster based on demand. Kafka Scaling.

Cloud 87

Cloud Metrics Scalability Groups 87

Confluent

JUNE 13, 2019

This data pipeline is a great example of a use case for Apache Kafka ®. Using image differencing, ZTF detects about 1,000 objects in each image taken every 45 seconds, amounting to roughly 1 million changing objects per night. While that may be true in some cases (I collected the data for my Ph.D. Astronomy in real time.

Data 102

Data Survey Analysis System 102

Instaclustr

MAY 4, 2023

In P art 1 of this series, we had a look at Kafka concurrency and throughput work, recapped some earlier approaches I used to improve Kafka performance, and introduced the Kafka Parallel Consumer and supported ordering options (Partition, Key , and Unordered). The consumer options can be found in this file.

Scalability 59

Scalability Performance Software Review Systems Review 59

Confluent

FEBRUARY 13, 2019

Once settled on the event streaming approach, I’ll provide a high-level dataflow of how we design systems for payment processing at scale using this approach. Once settled on the event streaming approach, I’ll provide a high-level dataflow of how we design systems for payment processing at scale using this approach. Data evolution.

Architecture 90

Architecture Programming Microservices Serverless 90

Confluent

APRIL 11, 2019

Unless a use case actively requires a specific database, companies use S3 for storage and process the data with Amazon Elastic MapReduce (EMR) or Amazon Athena. But even if a use case requires a specific database such as Amazon Redshift, data will still land to S3 first and only then load to Redshift. So, it happened.

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AWS Authentication Fashion Data 110

Confluent

APRIL 30, 2019

With the release of Apache Kafka ® 2.1.0, Kafka Streams introduced the processor topology optimization framework at the Kafka Streams DSL layer. In what follows, we provide some context around how a processor topology was generated inside Kafka Streams before 2.1, Kafka Streams topology generation 101.

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Applications Construction Software Review Examples 90

Confluent

FEBRUARY 27, 2019

When it comes to the emerging serverless world, It makes sense to validate how Apache Kafka ® fits in considering that it is mission critical in 90 percent of companies. By persisting the streams in Kafka we then have a record of all system activity (a source of truth), and also a mechanism to drive reactions. What is FaaS? Next Steps.

Serverless 109

Serverless Lambda AWS Systems Review 109

Cloudera

MARCH 1, 2023

TypeScript is the primary language for Angular application development, and also comes with many benefits in terms of language features, reference validation, project scalability, and code maintainability. To get the most out of any application, a graphical user interface improves your efficiency and data streaming without exception.

UI/UX 71

UI/UX Resources SDLC Applications 71

Gorilla Logic

NOVEMBER 6, 2019

As software engineers we tend to like green field development— the process of starting from scratch without reusing existing code—because it allows us to start fresh with new sets of technologies and proper architectures that are more closely tied to the requirements of the business. Kafka Connect: A Sample Project to Sync Data.

Data 51

Data How To Lambda AWS 51

Netflix Tech

NOVEMBER 23, 2020

This article goes over some background on the project, why we created it, and how you can use it to monitor your own network. Background Traditional network management tools, namely SNMP and CLI screen-scraping, have been used for decades for this purpose, and there are numerous software packages, protocols, and libraries to choose from.

Load Balancer 74

Load Balancer Open Source Network Transportation 74

Confluent

MAY 9, 2019

Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement. Four pillars of event streaming.

Microservices 93

Microservices Metrics Systems Review Architecture 93

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads. private cloud only, public multi-cloud or hybrid).

Strategy 94

Strategy Data Technical Review Weak Development Team 94

Henrik Warne

JULY 27, 2019

An introductory chapter that defines reliability, scalability and maintainability. Finally there is a discussion of graph-like data models (used by for example Neo4J) and various query languages for this model. Each chapter ends with lots of references (between 30 and 110). Foundations of Data Systems. Data Models and Query Languages.

Systems Review 214

Systems Review Software Review Applications Data 214

Confluent

OCTOBER 10, 2019

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. Apache Kafka ® and its surrounding ecosystem, which includes Kafka Connect, Kafka Streams, and KSQL, have become the technology of choice for integrating and processing these kinds of datasets. Example: Audi. Example: E.ON.

IoT 20

IoT Internet Weak Development Team Scalability 20

Confluent

SEPTEMBER 20, 2019

As a distributed system for collecting, storing, and processing data at scale, Apache Kafka ® comes with its own deployment complexities. To simplify all of this, different providers have emerged to offer Apache Kafka as a managed service. Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist.

Software Review 21

Software Review Technical Review Storage Cloud 21

Confluent

OCTOBER 23, 2019

If you’ve worked with the Apache Kafka ® and Confluent ecosystem before, chances are you’ve used a Kafka Connect connector to stream data into Kafka or stream data out of it. This article will cover the basic concepts and architecture of the Kafka Connect framework. What is Kafka Connect?

Groups 15

Groups Examples Storage Data 15

Confluent

APRIL 2, 2019

Includes free forever Confluent Platform on a single Apache Kafka ® broker, improved Control Center functionality at scale and hybrid cloud streaming. the event streaming platform built by the original creators of Apache Kafka. Confluent Platform now available “free forever” on a single Kafka broker. Confluent Platform 5.2

Cloud 21

Cloud Applications Groups Enterprise 21

Confluent

SEPTEMBER 12, 2019

When Apache Kafka ® consumer group rebalancing clicks, you feel good. Now that there’s a ubiquitous open source Apache Kafka, an enterprise-ready Confluent Platform, and a robust and increasingly featureful Confluent Cloud, the way we build systems is changing. For me, and I think for you, technology is cool by itself.

Microservices 10

Microservices Weak Development Team Architecture Scalability 10

Confluent

AUGUST 20, 2019

Write-heavy loads in particular may run into scalability issues in traditional relational databases and therefore need alternative architectures that scale to their needs. Write-heavy loads in particular may run into scalability issues in traditional relational databases and therefore need alternative architectures that scale to their needs.

Systems Review 22

Systems Review System Software Review Architecture 22

Altexsoft

MARCH 30, 2023

The answer is simple: They use the same technology to make the most of data. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data. The relatively new storage architecture powering Databricks is called a data lakehouse.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64