AWS OpsWorks
Ansible
Chef
Codenvy
Capistrano
AWS CloudFormation
Amazon Kinesis
Puppet
Apache Spark
Apache Flink
Apache Airflow
Hadoop
Apache Kafka
Apache Hive
Apache Storm
Google Cloud Dataflow
AWS OpsWorks Apache SparkBased on our record, Apache Spark seems to be a lot more popular than AWS OpsWorks. While we know about 56 links to Apache Spark, we've tracked only 2 mentions of AWS OpsWorks. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The solution was designed to serve managed Chef/Puppet to customers, unfortunately, all of them will reach End of Life withe the end of May 2024. During the time of writing this article (1-half of March), you can read about it on the public service page. OpsWorks. So as a summary, nice solution unfortunately based on Chef/Puppet, not a SaltStack, also the idea of stacks could be a blocker for a multi-cloud... - Source: dev.to / 3 months ago
AWS OpsWorks is a configuration management service that uses Chef, an automation platform that treats server configurations as code. OpsWorks uses Chef to automate how servers are configured, deployed, and managed across your Amazon Elastic Compute Cloud (Amazon EC2) instances or on-premises compute environments. OpsWorks has two offerings, AWS Opsworks for Chef Automate, and AWS OpsWorks Stacks. For more... - Source: dev.to / 3 months ago
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 3 months ago
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 4 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 6 months ago
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 6 months ago
A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 12 months ago
Ansible - Radically simple configuration-management, application deployment, task-execution, and multi-node orchestration engine
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Chef - Automation for all of your technology. Overcome the complexity and rapidly ship your infrastructure and apps anywhere with automation.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Codenvy - Cloud workspaces for development teams.
Hadoop - Open-source software for reliable, scalable, distributed computing