Amazon Simple Queue Service…
Amazon Simple Queue Service also known as the AWS SQS in AWS cloud. It is fully managed message queues for the serverless applications, micro-services and distributed systems. SQS eliminates the difficulties and burden of managing the message or notification produced by any middleware system.
Continuous Integration & Continuous Delivery are integral parts of DevOps, as they are used for integrating multiple stages of the methodology. There are many CI/CD tools in the market but Jenkins; the Java-based open-source CI/CD tool tops the popularity list. A small survey conducted by us further escalates Jenkins’ popularity of, leading up to the occasional query of ‘What is Jenkins?’
We have to write an Ansible PlayBook that does the following operations in the managed nodes:
🔹 Configure Docker
🔹 Start and enable Docker services
🔹 Pull the httpd server image from the Docker Hub
🔹 Run the docker container and expose it to the public
🔹 Copy the html code in /var/www/html directory and start the web server
OpenShift is a family of containerization software products developed by Red Hat. Its flagship product is the OpenShift Container Platform — an on-premises platform as a service built around Docker containers orchestrated and managed by Kubernetes on a foundation of Red Hat Enterprise Linux.
The family’s other products provide this platform through different environments:
OKD serves as the community-driven upstream (akin to the way that Fedora is upstream of Red Hat Enterprise Linux), OpenShift Online is the platform offered as software as a service, and Openshift Dedicated is the platform offered as a managed service.
A routing table is a set of rules, often viewed in table format, that is used to determine where data packets traveling over an Internet Protocol (IP) network will be directed. All IP-enabled devices, including routers and switches, use routing tables.
A basic routing table includes the following information:
Neural networks is one of the most powerful and widely used algorithms when it comes to the subfield of machine learning called deep learning. At first look, neural networks may seem a black box; an input layer gets the data into the “hidden layers” and after a magic trick we can see the information provided by the output layer. However, understanding what the hidden layers are doing is the key step to neural network implementation and optimization.
A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that…