Cloudify
OpenShift
Kubernetes
Heroku
Morpheus
Microsoft Azure
Apache Mesos
Redis
Hadoop
Apache Spark
Apache Storm
Apache Cassandra
Apache Kafka
MongoDB
Apache Flink
PostgreSQL
Cloudify provides infrastructure automation using โEnvironment as a Serviceโ technology to deploy and continuously manage any cloud, private data center, or Kubernetes service from one central point while leveraging existing toolchains; Terraform, Ansible, and more. Use Cloudify to import existing automation templates and scripts and automatically convert them into certified environments. Manage them using the Cloudify console or export these environments to ServiceNow and enable users to deploy, continuously manage and maintain them as part of approval workflows.
Key Values: - Speed up deployments of your Test/Dev/Production environments. - Manage customers' heterogeneous cloud environments. - Enable Continuous Updates (Day-2) for your Production environments. - A clean API to work on top of all your tools that can easily be used within ServiceNow. - Manage Kubernetes clusters at scale.
Cloudify HadoopBased on our record, Hadoop seems to be a lot more popular than Cloudify. While we know about 29 links to Hadoop, we've tracked only 2 mentions of Cloudify. 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.
Cloudify looks interesting if you can stand the price, depends how badly you need the features it offers. Source: about 4 years ago
Cloudify is a platform that automates and manages entire lifecycles of an application or network service. Source: over 4 years ago
When IoTDB was initiated in 2011, almost all influential distributed systems and databases were built in Java or on the JVMโsuch as Hadoop, HBase, Spark (Scala on JVM), Cassandra, Kafka, and Flink. To integrate deeply with the big data ecosystem, choosing Java was a natural decision. - Source: dev.to / 4 months ago
AWS EMR (Elastic MapReduce) is a fully managed big data platform. It manages the setup, configuration, and tuning of open source frameworks like Apache Hadoop, Apache Spark, Apache Hive, Presto, and more at scale on AWS infrastructure. EMR handles cluster scaling, resource allocation, and lifecycle management. This allows you to work with large datasets for various use cases, from ETL pipelines to ML workloads.... - Source: dev.to / 8 months ago
Alright, let's talk about Apache Hadoop. Apache Hadoop is an open source big data processing framework. It's designed to tackle a specific challenge: efficiently storing and processing huge datasets across clusters of computers. We're talking massive amounts of data hereโfrom gigabytes to terabytes to petabytes. What makes Apache Hadoop unique is its ability to use clusters of regular, off-the-shelf hardware,... - Source: dev.to / 9 months ago
To simplify โโfine-grained permission managementโโ and enable centralized โโweb-based administrationโโ, JuiceFS now supports โโApache Rangerโโ, a widely adopted security framework in the Hadoop ecosystem. - Source: dev.to / about 1 year ago
This post provides an inโdepth look at Apache Hadoop, a transformative distributed computing framework built on an open source business model. We explore its history, innovative open funding strategies, the influence of the Apache License 2.0, and the vibrant community that drives its continuous evolution. Additionally, we examine practical use cases, upcoming challenges in scaling big data processing, and future... - Source: dev.to / about 1 year ago
OpenShift - OpenShift gives you all the tools you need to develop, host and scale your apps in the public or private cloud. Get started today.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Apache Storm - Apache Storm is a free and open source distributed realtime computation system.
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.