The 1-Click Deployment Framework for Mendix applications on public cloud(s) simplifies and accelerates the deployment process. With just a single click, you can seamlessly deploy your Mendix applications onto public cloud platforms, unlocking the benefits of scalability, reliability, and cost-efficiency. This framework eliminates the complexities of traditional deployment methods and empowers organizations to launch their Mendix applications quickly and efficiently on the public cloud, enabling faster time-to-market and enhanced agility. Experience the ease and convenience of deploying your Mendix applications with a single click on the public cloud.

Let’s look at a use case and the remedy:

• Mendix MPC customers are unable to employ a flexible custom build process. The Mendix native build pipeline does not let clients implement their own build process because Mendix MPC maintains total control over CI/CD.
• The customer won’t have any control over the application, infrastructure, or security in Mendix MPC. They are forced to pick and choose which security features to use.

Solution:

• Deploying a Mendix application in any public cloud provides one-click deployment, total control over the infrastructure, high availability, and built-in security features. The one-click deployment framework for Indium is reliable and has been tested across multiple clouds with minimal to no adjustments.
• With the most flexible and secure cloud computing environment currently available, such as AWS/Azure/GCP, this architecture gives you the control and assurance you need to safely manage your organization.
• You can become more adept at upholding fundamental security and compliance standards, such as those relating to data localization, protection, and confidentiality, with the help of public clouds.

The rigidity of this structure was examined in this blog post using AWS, the current market leader in public cloud adoption. We can see how the customer has the freedom to choose the infrastructure and the application to be deployed thanks to the powerful integration of the trio Jenkins, Mendix, and AWS.

How to use our own framework to deploy the Mendix application.

1. Set up a VPC with two availability zones and private and public subnets.

2. To secure the nodes and application while preventing external connections, private subnets were created for Kubernetes nodes.

3. We can utilize CloudWatch and Grafana for log monitoring.

4. Configuring Jenkins to automate the CI/CD pipeline.

5. Integrating Jenkins with the Mendix team server.

6. Create a Docker image using the Mendix Docker file and our application code.

7. Upload the Docker image to artefacts like the Docker Hub, ECR, or ACR.

8. Create YAML Scripts to deploy the application. These scripts pass parameters like the database host name and password and the Mendix admin password as secrets using a secrets manager.

9. Using YAML, deploy the docker image in EKS and get the saved images from the artefacts.

10. For high availability and dependability, use EKS’s load balancer, replica sets, and autoscaling.

Also read: How to Secure an AWS Environment with Multiple Accounts

Architectural Overview:

Jenkins begins downloading code from Team servers after a developer clicks a single button, using Mendix docker files and source code to create a docker image that is then used to deploy in Elastic Kubernetes Service in AWS. 

Benefits of Mendix Application Deployment on Public Cloud

 1. Giving the client the ability to take charge of the CI/CD process.

2. The isolated Kubernetes environment allows users to create and administer their own cloud Virtual Private Cloud (VPC), with the potential to increase security.

3. The application auto-scales loads based on traffic and is highly accessible.

4. Logs are simple to monitor, and setting warnings for high CPU usage is simple. 

Conclusion

In conclusion, the 1-Click Deployment Framework for Mendix applications on public cloud(s) revolutionizes the way organizations deploy their applications. By simplifying the deployment process and providing a seamless experience, this framework empowers businesses to leverage the scalability and reliability of the public cloud. With just a single click, organizations can effortlessly launch their Mendix applications, accelerating time-to-market and driving business agility. Embrace the power of 1-Click Deployment and unlock the full potential of your Mendix applications on the public cloud.

The post 1 Click Deployment Framework for Mendix Application on Public Cloud(s) appeared first on Indium.

Introduction:

AMQP stands for Advanced Message Queuing Protocol, and it is an open standard application layer protocol. AMQP Message Protocol also deals with publishers and subscribers for the consumer.

One of the key features of AMQP is the message broker, which acts as an intermediary between sender and receiver. The broker receives messages from senders, stores them, and delivers them to their intended recipients based on predefined routing rules. The broker provides a range of features such as message persistence, message acknowledgment, and message prioritisation to ensure reliable and efficient message delivery. 

Several industries, including telecommunications, healthcare, and financial services, use AMQP. It has been widely adopted as a messaging protocol due to its reliability, interoperability, and flexibility.

Now there are four different exchange types:

• Direct Exchange
• Fan Out Exchange
• Topic Exchange and
• Header Exchange

Direct Exchange:

A direct exchange works by matching the routing key, when there is a match, the message is delivered to the queue. Each message sent to a direct exchange must have a routing key. 

If the routing key match, the message can be forwarded to the queue of the message.

For example, suppose there are three nodes named node A, node B, and node C, and a direct exchange named X. If node A is connected to X with a routing key of “key 1”, node B is connected to X with a routing key of “key 2”, and node C is connected to X with a routing key of “key 3”, then when a message is sent to X with a routing key of “key 2”, the message will be routed to node B.

Fan Out Exchange:

A fanout exchange works by sending messages to all of its bound queues. When a message is sent to a fanout exchange, the exchange simply copies it and sends it to all the currently bound queues.

For example, A real-time example of a Fanout Exchange can be a social media platform where a user posts a message that needs to be sent to all the users.

Topic Exchange:

When a message is sent to a topic exchange, the exchange will forward the message to all the queues. If queues have a binding key that matches the routing key, the message is routed to that queue, and finally each customer will receive the message from the queue.

Header Exchange:

A header exchange works by allowing the sender to attach a set of header attributes to each message. The header exchange looks at the headers and compares them to the header values specified in the bindings of each queue. If there is a match between the header of the message and the bindings of a queue, the message is delivered to that queue.       

Also read: Internet of Things in the Automotive Industry Blog.

Advantages of AMQP:

Message orientation, queuing, routing (including publish and subscribe and point-to-point), dependability, and security are the characteristics that set AMQP apart.

It employs techniques to ensure the secure transmission of critical data.

Flexibility:

AMQP includes publisher and subscriber request responses among the many message patterns it supports and point-to-point messaging, which makes it suitable for a variety of business use cases.

These services are provided using AMQP:

Healthcare services:

AMQP can be used to transmit medical data from wearable and implantable devices to healthcare providers, enabling remote monitoring and personalised treatment. It can be used to transmit patient data, test results, and other medical information securely and in real time. By using AMQP, healthcare providers can establish a reliable and secure communication channel to exchange data and messages between different services. The transfer of patient information among various healthcare providers, including hospitals, clinics, and laboratories

Financial services:

AMQP can be used to build reliable and secure messaging systems for financial institutions, including stock exchanges, banks, and trading platforms. It can be used to transmit market data, trade orders, and other financial information securely and efficiently. By using AMQP, financial services providers can improve the speed and efficiency of their communication systems and reduce the risk of delays or errors.

Internet of Things (IoT) services:

the AMQP protocol is designed for reliable, interoperable, and secure communication between different components of distributed applications, including Internet of Things (IoT) devices.

Device-to-cloud communication:

The AMQP protocol enables IoT devices to transmit messages to cloud services for further processing and analysis. For instance, a temperature sensor can utilise AMQP to transmit temperature readings to a cloud-based analytics service.

Overall, AMQP provides a flexible and scalable messaging infrastructure that can support various IoT services, from simple device-to-cloud communication to complex event processing and analytics.

Security:

AMQP provides a range of security features, such as authentication and encryption, to protect messages and prevent unauthorised access.

Conclusion

AMQP is a powerful messaging protocol that enables different applications to communicate with each other reliably, securely, and flexibly. With its client-server architecture and components such as a broker, exchange, queue, producer, and consumer, AMQP provides a robust framework for message-oriented middleware.

The post Seamless Communication: Exploring the Advanced Message Queuing Protocol (AMQP) appeared first on Indium.

What is Resiliency Testing

Resiliency testing is a type of testing performed to assess the ability of a system or application to recover from various types of failures and continue to operate in a degraded state without completely shutting down or losing data. The purpose of resiliency testing is to identify potential weaknesses or vulnerabilities in a system and to test how well it can recover from various types of failures, such as hardware failures, network failures, software failures, cyberattacks, and other types of disruptions.

Resiliency testing can involve simulating various types of failures or disruptions and observing how the system responds. The testing may include conducting controlled experiments in a test environment or conducting real-world simulations to assess the system’s resilience under actual operating conditions.

The goal of resiliency testing is to ensure that a system can continue to operate with minimal interruption or downtime, even in the face of unexpected events or disruptions.

What is Chaos Engineering

Chaos engineering is a software testing methodology that involves intentionally introducing controlled and carefully designed disruptions or failures into a system to observe how it responds and to identify potential weaknesses or vulnerabilities. The goal of chaos engineering is to improve the resilience and reliability of complex systems, such as distributed computing systems, cloud-based systems, and microservices architectures.

Chaos engineering typically involves the following steps:

• Identify the components of the system to be tested and the potential failure scenarios.
• Create experiments that introduce controlled disruptions, such as killing a server or disconnecting a network connection.
• Run the experiments and observe how the system responds.
• Analyse the results and identify areas where the system can be improved to better handle failures.
• Chaos engineering is based on the idea that failures and disruptions are inevitable in complex systems and that by deliberately introducing controlled failures, system designers can learn how to design more resilient and reliable systems. By identifying and addressing weaknesses before they lead to real-world failures or outages, chaos engineering can help to prevent costly downtime, data loss, and other negative impacts.

Both resilience testing and chaos engineering are important tools for improving the reliability and resilience of complex systems. By identifying and addressing weaknesses in a system, organizations can reduce the risk of downtime, data loss, and other negative impacts, and ensure that their systems can continue to operate even in the face of unexpected disruptions.

Key Benefits:

• Aid us to quickly spot, isolate & fix single point of failures in the application
• Meets Quality of Service (QoS) to higher standards
• Application Down time cost is considerably minimized. Reduce MTTD & MTTR
• Helps to enable strong resilient features with auto-healing capabilities.

Focus Areas:

• CPU, Memory, Disk, I/O attacks
• Restart/shutdown
• Network Latency Delay/Packet Loss
• Process Crash
• Black Hole/App Delays

Tool Set:

Chaos Engg:

Mangle, Simian Army (includes Chaos monkey), Gremlin, Chaos Blade, Nagarro’s Chaos framework Cloud: Fault Injection Simulator (FIS) – AWS; Chaos Data Studio Service – Azure; Gremlin from Marketplace – GCP

Also read: The Role of Digital Assurance in Accessibility and Inclusion

In the future, we can expect that chaos engineering will continue to grow in importance as more and more critical systems become increasingly complex and interconnected. As systems become more complex, they become harder to predict and harder to control, and so the risks associated with system failures increase. Chaos engineering will play a key role in helping organizations identify and mitigate these risks by allowing them to test their systems in a controlled environment and identify potential weaknesses before they become real-world problems.

Additionally, we will see a continued evolution of chaos engineering techniques and tools, including the development of new approaches to chaos engineering that consider the unique characteristics of specific systems and environments. We will also see continued integration of chaos engineering into DevOps and agile development methodologies, allowing organizations to build resilience and reliability into their systems from the ground up.

Overall, I believe that chaos engineering will continue to play an increasingly important role in ensuring the reliability and resilience of complex systems in the years to come.

The post Resiliency testing and Chaos Engineering appeared first on Indium.