You should have a firm understanding of the middleware technologies that you’re using on your website and know what the benefits are of each one.

We’ve created this list of the top 10 middleware technologies that you should know about and we’ll take you through each one so you can easily understand what they do and why they matter.

Top 10 Middleware Technologies

1) Kubernetes

Google developed Kubernetes and donated it to an open-source foundation. It’s an easy-to-use software that can help you deploy, manage, and scale containerized applications on public clouds.

Today, more than 30 percent of all containers running in production are managed by Kubernetes. So if you want to build your development team’s capacity for learning new technologies, or if you want a solid middleware platform on which to run microservices or serverless applications, then check out what Kubernetes has going for it.

2) OpenStack

OpenStack has been helping organizations manage their private clouds since 2010. It’s a powerful, flexible platform that developers and system administrators alike have embraced, making it one of today’s top 10 middleware technologies.

It’s particularly good for managing large amounts of virtual infrastructure and is also compatible with numerous virtualization technologies, including OpenStack itself.

This makes it easy to get started with OpenStack – you don’t need a separate hypervisor for each machine in your cloud – but keeps things flexible enough that you can add other hypervisors as needed.

One thing to note: OpenStack is an umbrella term used by multiple projects under a single community.

There are currently three major components of OpenStack: Compute, Networking, and Storage. Each component has a number of projects that together, help build out your cloud.

To get started with OpenStack, start with these individual projects; check out their websites for more details about how they work together.

Some of our favorites include Horizon (for managing your virtual machines), Magnum (for connecting all of your physical infrastructures into an easy-to-manage interface), and Heat (for creating templates for new virtual servers).

As you get more comfortable working with OpenStack, you can also choose from a number of additional supporting tools like Puppet for automatic configuration management and Mistral for workflow automation.

3) Apache Hadoop

A software framework that allows for distributed processing of large data sets across clusters of computers using simple programming models.

The Hadoop Distributed File System (HDFS) provides high-throughput access to application data and is designed for reliable, scale-out computing.

Hadoop streaming can be used with other languages. It is a way of executing MapReduce programs by reading input from standard input and writing output to standard output.

The Hadoop MapReduce API is also implemented in other languages, including C++, Perl, Python, R, and Ruby.

4) Linux Containers

This technology lets you run multiple instances of an operating system on a single computer. It’s used in conjunction with virtualization software, like KVM and VMware, which lets you create one or more virtual machines that run on your hardware platform.

Docker is one popular Linux container solution; it has been compared to similar technologies from Google and Microsoft.

The main benefit of using containers is their ability to enable development teams to deploy applications quickly and easily.

If developers can work simultaneously on separate parts of an application—without affecting other applications running on a computer—it makes it easier for them to collaborate as well as learn new skills without impacting ongoing projects.

5) Cloud Foundry

Apache Kafka is an open-source streaming platform that can be used in a number of ways, from creating new feeds for chat and IoT applications or ingesting data into stream processing frameworks such as Apache Spark.

And with current version 0.10, it supports streaming data in JSON format, making it much easier to integrate with web APIs and NoSQL databases.

This makes Kafka one of your top 10 middleware technologies you need to know about. Why? Because Kafka allows you to connect your entire data pipeline—regardless of what application architecture you’re using—into a single flow where you can process and transform all of your data.

6) Apache Kafka

Apache Kafka is a system for managing real-time data feeds. Kafka can help enterprises with big data analysis and offers pluggable support for various source protocols and tools.

Most notably, Apache Kafka supports an in-memory queue (for low latency) or a persisted queue (for scale), as well as supporting structured and unstructured data formats.

With all of these features, Apache Kafka is one of today’s top 10 middleware technologies that enterprises need to know about.


A software application that implements an HTTP server and reverses proxy server, as well as a load balancer and an HTTP cache, while supporting multiple networking protocols.

The current stable version is 1.12.0 and was released on January 19, 2018. Other websites use NGINX to speed up their sites by caching and serving content more quickly than their web servers can provide it.

The open-source software was originally written by Igor Sysoev, who based it on an earlier project named Eggman. It is used for a number of applications in addition to serving web pages and includes support for several protocols including HTTP, SMTP, IMAP, FTP, POP3, and LDAP.

8) RabbitMQ

RabbitMQ is a message-broker software. The broker passes messages between applications by way of various plug-ins.

It’s one of many messages queueing systems that enable asynchronous messaging between software components. RabbitMQ implements AMQP (Advanced Message Queuing Protocol),

which is an open standard for passing messages between applications written in different programming languages, running on different computers in different locations.

RabbitMQ supports distributed multi-producer, and multi-consumer message queues, prefetching, and persistence with durability.

9) Redis

Redis is an open-source, in-memory data structure store, used as a database, cache, and message broker. Redis can be used for anything from a single server application to a large distributed system with data centers across the globe.

10) Apache Spark

Apache Spark is an open-source computing framework that supports a diverse set of big data applications.

The distributed processing engine allows for in-memory computations, streaming analytics, and machine learning on large datasets.

Open source since 2010, Spark boasts more than 1,000 contributors with corporate support from big data leaders such as Databricks and Hortonworks.

Final Words

People often forget what middleware is, so you may want to start by defining it. Then, layout a case for why businesses should care and—most importantly—why they need to start using it.

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Chris A.

Chris is a profound internet and Digital marketer who loves to find solutions for all your queries and doubts on tech and marketing likewise.


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