1. Increased Adoption of Event-Driven Architecture (EDA)

Microservices are becoming more responsive and dynamic, thanks to the growing implementation of event-driven architecture (EDA). EDA allows services to react in real time to events, improving responsiveness, scalability, and resource efficiency. This shift is critical for industries such as digital commerce, banking, and IoT, where instant reactions to events are paramount. 

Benefits of EDA in Microservices: 

• Improved real-time decision-making capabilities. 

• Better scalability for handling large-scale events. 

• Enhanced fault isolation and resilience. 

For instance, retailers leveraging EDA-powered microservices can provide real-time inventory updates during peak shopping seasons. This architecture ensures seamless customer experiences even during high-demand scenarios. 

2. Enhanced Focus on Microservices Security with Zero Trust

As microservices architectures grow, so does the attack surface for cyber threats. In 2025, the adoption of Zero Trust Security is becoming a key trend. This approach ensures that no component or user within a system is inherently trusted, mandating continuous verification for access. 

Key Aspects of Zero Trust in Microservices: 

• Service-to-service communication is secured with mutual TLS or other encryption methods. 

• Granular access control policies enforce least privilege principles. 

• Continuous monitoring detects anomalies in real time. 

The integration of DevSecOps practices further bolsters microservices security, embedding security measures into the development pipeline. By prioritizing security at every stage, businesses can protect their distributed architectures from evolving threats. 

3. Rise of Serverless Microservices

The serverless computing paradigm is reshaping how microservices operate, eliminating the need for businesses to manage underlying infrastructure. In 2025, more organizations are leveraging serverless frameworks, such as AWS Lambda and Azure Functions, to deploy microservices. 

Advantages of Serverless Microservices: 

• Auto-scaling capabilities reduce operational overhead. 

• Cost-efficient pay-as-you-go pricing models. 

• Faster time-to-market with reduced development complexity. 

For example, serverless microservices allow startups to scale effortlessly, focusing on innovation rather than infrastructure management. This trend accelerates the adoption of microservices in industries with fluctuating workloads. 

4. Advancements in Service Mesh Technology

Service meshes are now an integral part of microservices architectures, streamlining service-to-service communication. Platforms like Istio, Linkerd, and Consul have matured, offering enhanced features such as observability, traffic management, and security.

Key Benefits of Service Meshes: 

• Simplified communication across microservices with built-in load balancing and retries. 

• Improved observability with distributed tracing and metrics. 

• Enhanced security through mTLS, encryption, and policy enforcement. 

In 2025, service mesh technology is evolving to become lighter and more efficient, addressing the challenges of overhead in resource-constrained environments. Businesses using service meshes gain operational insights and maintain consistent performance, even as their microservices ecosystem scales.

5. AI-Driven Automation in Microservices Management

Artificial Intelligence (AI) is transforming how microservices are designed, deployed, and managed. In 2025, AI-driven automation is enabling proactive monitoring, anomaly detection, and predictive scaling. 

AI Applications in Microservices: 

• Predictive scaling adjusts resources automatically to match traffic patterns. 

• Automated root-cause analysis minimizes downtime during incidents. 

• Intelligent load balancing optimizes resource utilization. 

By leveraging AI, businesses can streamline microservices management and ensure high availability. For example, healthcare providers using AI-enhanced microservices can guarantee consistent system performance, ensuring critical patient data is accessible at all times. 

Business Benefits of Embracing Microservices Trends in 2025 

As organizations shift toward microservices, the benefits they reap extend beyond technical efficiency to include long-term business advantages. Here’s a look at how adopting microservices trends transforms businesses: 

1. Scalability and Agility

Microservices allow businesses to scale individual components independently, ensuring applications adapt seamlessly to changes in demand. For example: 

• E-commerce platforms can scale their payment or inventory services during peak shopping seasons without affecting other parts of the system. 

• A financial institution can roll out updates to its fraud detection service without disrupting customer transactions. 

This modularity ensures rapid adaptability to market trends, enabling businesses to innovate faster and stay competitive. 

2. Improved Security

With trends like Zero Trust Security and DevSecOps, microservices ensure security is embedded into every layer of application development and deployment. Key benefits include: 

• Protection against breaches through encryption, mutual TLS (mTLS), and strict access controls. 

• Real-time anomaly detection and prevention using AI-driven tools integrated into microservices pipelines. 

For industries dealing with sensitive customer data, such as healthcare and banking, these security enhancements help meet regulatory compliance while safeguarding customer trust. 

3. Cost Efficiency

Microservices minimize operational expenses in several ways: 

• Serverless microservices reduce infrastructure costs with pay-as-you-go pricing. Businesses only pay for the compute resources consumed. 

• Optimized resource usage through AI-driven automation eliminates waste by scaling resources dynamically based on traffic patterns. 

For startups or SMBs, this cost-effectiveness enables innovation without significant upfront investment in infrastructure. 

4. Enhanced Customer Experience

Microservices improve the speed and reliability of customer-facing applications. Benefits include: 

• Faster response times thanks to event-driven architecture (EDA), which allows real-time processing of customer actions. 

• Personalized experiences through modular design, enabling seamless integration with AI and data analytics platforms. 

For example, streaming services using microservices can offer instant content recommendations, enhancing user satisfaction and retention. 

5. Operational Resilience

Microservices isolate failures, ensuring that issues in one service don’t cascade across the entire application. With advancements in service mesh technology, businesses gain:

• Robust failure recovery mechanisms, such as retries and circuit breakers. 

• High system availability even during outages, ensuring uninterrupted services to customers. 

In industries where downtime can result in lost revenue or customer dissatisfaction, this resilience is a game-changer. 

Key Industries Benefiting from Microservices Trends in 2025 

Microservices trends are driving innovation across multiple industries. Here’s how key sectors leverage these advancements: 

1. E-Commerce

E-commerce platforms face dynamic customer demands, especially during sales or holiday seasons. Microservices empower these businesses by: 

• Implementing event-driven architecture to manage real-time inventory updates, order processing, and delivery tracking. 

• Personalizing shopping experiences using AI-driven microservices that analyze customer behavior and recommend products. 

For example, a global retailer can deploy serverless microservices to handle flash sales without worrying about infrastructure bottlenecks. 

2. Banking and FinTech

The financial sector benefits from microservices’ ability to enhance security, scalability, and operational efficiency. Key applications include: 

• Implementing Zero Trust Security to protect sensitive customer data and prevent fraud. 

• Deploying scalable, serverless microservices for real-time payment processing and customer onboarding. 

Microservices also enable the rapid introduction of new features, such as digital wallets or AI-driven credit scoring systems, keeping banks competitive in the digital era. 

3. Healthcare

Healthcare providers require robust, secure, and scalable systems to handle patient data and deliver quality care. Microservices trends are transforming healthcare in the following ways: 

• AI-driven automation ensures timely access to critical patient data by predicting system bottlenecks and optimizing resource allocation. 

• Service mesh technology guarantees secure communication between healthcare microservices, such as electronic health records (EHR) systems and diagnostic tools. 

For instance, hospitals using microservices can ensure uninterrupted access to patient data during peak hours or emergencies, improving outcomes. 

4. Internet of Things (IoT)

The IoT ecosystem, with its vast networks of connected devices, demands scalable and efficient microservices architectures. Key applications include: 

• Serverless microservices to process real-time data streams from IoT devices, reducing latency and infrastructure costs.

• Enhanced device communication and security through service mesh frameworks that manage traffic and encryption. 

From smart homes to industrial IoT, businesses can leverage microservices to deliver seamless, intelligent services. 

5. Media and Entertainment

Streaming platforms and content providers rely on microservices to deliver high-quality, personalized experiences to users. Benefits include: 

• Real-time content recommendations powered by event-driven microservices.

• Scalable serverless architectures to handle fluctuations in user activity, such as during the launch of a popular show.

Microservices also enable faster rollout of new features, such as multi-language support or interactive content, enhancing user engagement and loyalty. 

By embracing microservices trends in 2025, industries are not only addressing immediate operational challenges but also laying the foundation for sustained growth and innovation. Whether you’re in e-commerce, healthcare, or IoT, microservices provide the tools to remain agile, secure, and customer-focused in today’s rapidly changing times. 

Conclusion: Partner with Charter Global for Microservices Excellence 

The microservices trends of 2025 are set to redefine how businesses build, deploy, and scale applications. From enhanced scalability and agility to industry-specific innovations, adopting these trends can open significant growth opportunities for your organization. However, implementing and managing microservices requires the right expertise and a clear strategy. 

At Charter Global, we specialize in delivering end-to-end microservices solutions tailored to your business needs. Whether you’re looking to modernize legacy systems, enhance security with Zero Trust principles, or leverage serverless and AI-driven automation, our experts are here to guide you every step of the way. 

With over 30 years of experience, we combine deep technical expertise with a client-centric approach to deliver solutions that drive measurable results. Let us help you leverage the power of microservices to achieve operational excellence, scalability, and innovation. 

The post Five Microservices Trends in 2025: Shaping the Future of Application Development appeared first on Charter Global.

Microservices architecture has become a cornerstone of modern software development, helping companies like Netflix, Amazon, and Spotify create highly scalable, resilient, and flexible applications that can handle millions of users and adapt quickly to changing demands. In this blog, we’ll explore what microservices architecture is, how it works, its benefits, and best practices for implementing it in your organization.

What is Microservices Architecture?

Key Components in Microservices Architecture

Microservices architecture relies on various components that work together to enable seamless communication, management, and deployment of services. Understanding these components is essential for designing, implementing, and maintaining a successful microservices-based system.

• API Gateway: An API gateway serves as the single entry point for client requests, routing them to the appropriate microservices. It provides security, load balancing, and caching, simplifying communication between the client and multiple services. By consolidating these functions, the API gateway also helps manage authentication, authorization, and request throttling across services.
• Service Registry: In a dynamic microservices environment, services frequently start, stop, or move across different servers. A service registry keeps track of all available services and their locations, enabling services to discover and communicate with each other. Tools like Eureka or Consul are often used to manage this discovery process, ensuring that services can locate each other efficiently and reliably.
• Service Mesh: As microservices grow in number, managing their communication becomes complex. A service mesh provides advanced networking features like load balancing, encryption, and observability across services. It also offers traffic management and monitoring, simplifying inter-service communication and improving reliability. Popular tools like Istio or Linkerd provide the necessary framework for a robust service mesh.
• Data Management: Data in microservices is often decentralized, with each service having its own database. This “database-per-service” pattern enhances service independence but also introduces challenges around data consistency and coordination. Techniques like event sourcing and CQRS (Command Query Responsibility Segregation) can help maintain data integrity and consistency across distributed services.
• Orchestration and Containerization: Microservices benefit greatly from containerization technologies like Docker, which encapsulate each service in a self-contained environment. Orchestration tools like Kubernetes then manage these containers, automating deployment, scaling, and management across a distributed environment. This combination ensures each service is isolated, portable, and easy to scale.

Each of these components plays a vital role in a microservices architecture, enabling efficient communication, service discovery, security, and scalability. Together, they support the dynamic and resilient nature of microservices-based applications.

Key Characteristics of Microservices

Microservices architecture is built on several defining principles that set it apart from traditional monolithic approaches:

• Decoupled Components: Each microservice operates independently, meaning updates or changes to one service won’t disrupt others. This decoupling enables faster development cycles and more agile teams.
• Technology Agnostic: Microservices allow development teams to choose the best technologies and programming languages for each service, based on its specific needs. This flexibility helps teams work more efficiently and makes it easier to adopt new technologies as they emerge.
• Single Responsibility: Each microservice is designed to perform one specific function well. This modularity aligns with the “single responsibility principle” and ensures that services remain manageable, testable, and scalable.
• Automated Deployment and Scalability: Since each service is independent, microservices can be deployed and scaled individually. Teams can push updates to a single service without affecting the rest of the application, enabling continuous delivery and fast responses to user demands.
• Fault Isolation: In microservices architecture, failures in one service won’t necessarily bring down the entire system. This design improves overall application reliability and allows for quicker issue resolution.

Benefits of Microservices Architecture

Microservices architecture offers a range of benefits that make it ideal for building modern, cloud-native applications. Here are some of the main advantages:

• Scalability: With microservices, each service can be scaled independently based on its specific requirements. For example, a service handling user authentication can be scaled separately from a service managing content delivery. This enables efficient resource usage, better performance under load, and the flexibility to scale only the parts of an application that need it.
• Faster Deployment: Since microservices are independent units, development teams can work on different services simultaneously. This parallel development enables faster release cycles and seamless integration with continuous integration and continuous delivery (CI/CD) pipelines. Microservices allow teams to deploy updates to individual services without needing a full system reboot, speeding up development and deployment processes.
• Enhanced Flexibility: Microservices offer development teams the freedom to use different technology stacks, programming languages, and tools for each service. This technology-agnostic approach helps teams select the best tools for each specific function, increasing productivity and enabling experimentation with new technologies.
• Improved Fault Isolation: In a microservices architecture, if one service fails, it doesn’t bring down the entire system. For example, if a payment service encounters an issue, other services like product browsing or search will continue to function. This fault tolerance improves the overall resilience and reliability of the application.
• Better Technology Stack Diversity: Microservices give teams the flexibility to choose the optimal technology for each service. For example, a recommendation service might use a graph database for efficiency, while a content service uses a document database. This diversity enhances the performance and functionality of each service while allowing organizations to adopt emerging technologies without disrupting other services.

Challenges of Microservices Architecture

While microservices architecture offers significant benefits, it also introduces complexities that organizations need to address. Here are some of the key challenges involved in implementing and managing a microservices-based system:

• Complexity in Management: Managing multiple microservices requires handling numerous independent services, each with its own codebase, deployment pipeline, and infrastructure. This complexity demands strong orchestration and monitoring tools, as well as experienced DevOps practices to manage inter-service communication, dependencies, and versioning effectively.
• Data Consistency: In a monolithic system, achieving data consistency across different components is relatively straightforward, as they share the same database. In a microservices architecture, however, each service may maintain its own database, making it difficult to synchronize data across services. Patterns like event-driven architecture and event sourcing can help, but they add additional layers of complexity to manage data consistency.
• Security: Securing a microservices-based system is more complex than securing a monolithic application. Each service requires its own security configuration, and inter-service communication must be secured to prevent unauthorized access and data breaches. Implementing DevSecOps practices, securing APIs, and managing authentication and authorization across services are essential to safeguarding microservices.
• Testing and Debugging: Testing a microservices application is challenging because it involves multiple, independent services that need to be tested both individually and as part of an integrated system. Debugging can also be difficult, as identifying the root cause of an issue often requires tracing requests across various services. Distributed tracing tools like Jaeger or Zipkin can be helpful, but they require additional setup and expertise.
• Inter-service Communication: Microservices depend heavily on network communication to interact with one another, which can introduce latency and reliability issues. Choosing the right communication protocol (e.g., REST, gRPC, or messaging queues) and implementing a circuit breaker pattern to handle failures are critical for reliable inter-service communication. However, these solutions add additional layers that require careful planning and management.

Addressing these challenges requires careful planning, the right tooling, and adherence to best practices for microservices management. While these complexities can be daunting, they can be mitigated with the proper DevOps practices, a well-defined architecture, and tools for orchestration, monitoring, and security.

Best Practices for Implementing Microservices

To ensure a smooth transition to microservices architecture and maximize its benefits, following best practices is essential. Here are key practices that can help you build, deploy, and maintain a successful microservices-based system:

• Adopt DevOps and CI/CD: Since microservices encourage frequent updates and independent deployments, adopting a CI/CD pipeline is crucial. CI/CD enables automated testing, integration, and deployment, allowing teams to release updates quickly and safely. Using DevOps practices also fosters collaboration between development and operations teams, ensuring that microservices can be managed efficiently in production.
• Implement DevSecOps: Security is vital in a microservices environment where each service is a potential entry point. Integrating security early in the development lifecycle through DevSecOps practices helps ensure that security measures are implemented consistently across all services. By incorporating automated security scans and vulnerability assessments into CI/CD pipelines, teams can catch issues before they reach production.
• Use Infrastructure as Code (IaC): Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation enable the automated and consistent setup of infrastructure, which is crucial in a complex microservices environment. IaC makes it easy to manage infrastructure configurations, replicate environments, and scale services, ensuring that deployments are consistent and repeatable across environments.
• Containerization and Orchestration: Containerization is essential for packaging each microservice with all its dependencies, making it portable and consistent across development, testing, and production environments. Tools like Docker enable containerization, while orchestration platforms like Kubernetes manage containers, automate deployments, and handle scaling. Together, they ensure that microservices run reliably and can be scaled up or down as needed.
• Implement Logging and Monitoring: Observability is critical in microservices, where issues can be hard to trace across services. Centralized logging (using tools like ELK Stack or Fluentd) and monitoring (with Prometheus or Grafana) provide insights into each service’s health and performance. Additionally, distributed tracing tools like Jaeger or Zipkin help track requests as they move through multiple services, making it easier to troubleshoot issues and optimize performance.
• Service Discovery and Load Balancing: As microservices are dynamic, they require mechanisms for discovering other services and balancing loads across instances. Service discovery tools like Consul or Eureka enable services to locate each other, while load balancers (either through an API gateway or a service mesh) manage traffic across multiple instances. These tools ensure that requests are handled efficiently and that services can scale smoothly.

Following these best practices helps teams create a resilient, scalable, and secure microservices environment. These practices not only facilitate development but also ensure that microservices can be managed effectively in production, supporting continuous delivery and innovation.

Examples of Microservices in Action

Many organizations across various industries have successfully implemented microservices architecture to enhance their applications and improve overall efficiency. Here are a few notable examples:

• Netflix: As a pioneer in adopting microservices, Netflix transitioned from a monolithic architecture to a microservices-based system to improve scalability and resilience. Each microservice handles specific functionalities, such as user authentication, recommendations, and streaming. This architecture enables Netflix to deploy updates frequently without downtime, providing a seamless viewing experience for millions of users worldwide.
• Amazon: Amazon’s vast e-commerce platform operates on a microservices architecture, allowing different teams to develop and deploy features independently. Each service, such as inventory management, payment processing, and order fulfillment, can scale according to demand. This architecture supports Amazon’s rapid growth and enables the company to introduce new features quickly, enhancing the overall shopping experience.
• Spotify: Spotify leverages microservices to manage its music streaming platform, which requires the coordination of various services for user management, playlist creation, and music recommendations. By using microservices, Spotify can deploy updates to individual features without impacting the entire application, ensuring that users have access to the latest enhancements and bug fixes seamlessly.
• Uber: Uber’s ride-sharing application is built on microservices, allowing for the separation of functionalities like ride requests, payments, and user profiles. This architecture supports Uber’s global expansion and high user traffic by enabling independent scaling of services. Additionally, it allows Uber to innovate rapidly, rolling out new features to enhance the rider and driver experience.
• eBay: eBay transitioned to a microservices architecture to improve its platform’s performance and scalability. By breaking down its monolithic application into smaller services, eBay can deploy changes more frequently and maintain high availability during peak shopping seasons. Each service can be optimized and scaled independently, which has significantly improved the user experience on the platform.

These examples illustrate how organizations across diverse industries leverage the power of microservices architecture to achieve scalability, resilience, and agility. By breaking down complex applications into manageable services, companies can innovate faster, improve user experiences, and respond effectively to changing market demands.

Conclusion

The future of software development is undoubtedly microservices-driven. This architectural style offers unmatched flexibility, scalability, and maintainability, enabling organizations to innovate at an accelerated pace. However, realizing these benefits requires a deep understanding of DevOps principles and a solid foundation in cloud technologies.

Charter Global is your partner in this journey, providing the expertise and tools to navigate the complexities of microservices and ensure a successful transition. At Charter Global, we specialize in providing comprehensive DevOps and cloud solutions tailored to help organizations embrace microservices architecture effectively. Our services, including DevOps Managed Services, CI/CD Pipeline Automation, and Infrastructure as Code, empower businesses to streamline their development processes and enhance application scalability and resilience. Leverage our expertise to navigate the complexities of microservices, while we ensure a smooth transition that aligns with your business goals.

Contact Charter Global for a Consultation.

Or email us at info@charterglobal.com or call +1 770.326.9933.

The post Microservices Architecture: A Comprehensive Guide for Modern Applications appeared first on Charter Global.

To migrate to microservices, a practical three-step approach:

• Componentize: From your already existing applications, select a component and create a microservices implementation on a pilot basis.
• Collaborate: All stakeholders, programmers, and developers on the team should know about the techniques and lessons learned from the Pilot in Stage One. This keeps them updated with new processes and initiatives.
• Connect: Complete the application and connect to users in a real-world scenario.

The Challenge:

As requests for system changes continued to grow, so did the volume of support requests and development man-hours. The demand to conduct development was becoming increasingly slow, continuous deployment became difficult, and scaling the application was costly.

The Solution:

We used our three-step approach to migrating their application to microservices that would enable them to deploy updates and new applications more rapidly and frequently. Our design used open-source products for cost efficiency. This allowed their developers once implemented to:

• Identify and diagnose issues quickly
• Provide the ability to leverage cloud architecture to control costs
• Provide flexible analytics and application performance
• Eliminate any long-term commitment to a technology stack making it easier to adopt new technology.

The Results:

After implementing the microservices framework developed by Charter Global, the client was able to accelerate its deployment schedule. Its development team was able to rewrite 100 services in six weeks. Charter Global also played a major role in setting up the CI/CD process for microservices, which enabled them to deploy any service with the click of a button. This reduced issues and complaints from their customers. In addition, saving them thousands of development man-hours.

The post A Practical Three-step Approach to Migrating to Microservices appeared first on Charter Global.

About the Client

The client provides company fleets with location-based services and advanced safety features which improve a vehicle’s performance through a smarter driving experience. The client’s technology enables clients to connect their vehicles to multiple networks, providing navigation, communications, and security.

The Challenge

As the ability to connect multiple devices grows, so does the volume of support requests, which can number in the millions daily. The growing demand for secure, connected car capabilities required the client to develop and update its telematics applications regularly and rapidly to improve the customer experience. Development in a monolithic structure can be slow. Continuous deployment is difficult, and scaling the application can be difficult and costly.

Solution

The client engaged Charter Global to provide solutions that would enable it to deploy updates and new applications more rapidly and frequently. Charter Global recommended the client convert its monolithic applications to a microservices design that uses open source products for cost efficiency. This would also allow developers to identify and diagnose issues quickly, and it would provide the ability to leverage cloud architecture to control costs. This structure would provide flexible analytics and application performance, and it eliminates any long-term commitment to a technology stack, making it easier to adopt new technology.

Results

After implementing the microservices framework developed by Charter Global, the client accelerated its deployment schedule. Its telematics development team was able to rewrite 100 services in six weeks. Charter Global also played a major role in setting up the CI/CD process for microservices, which helps to deploy any service with the click of a button. This reduces issues and complaints, and the client can focus on providing the best experience for its customers.

Contact Charter Global to provide your company with skilled resources, tools, and guidance in implementing Microservices architecture to maximize quality, velocity, and efficiency. Together, let’s ensure your success in 2021.

The post Convert your Monolithic Applications to a Microservices Design to Accelerate your Deployment Schedule appeared first on Charter Global.

Microservices utilize a batch of services that run independently of each other. For some companies, utilizing this type of architecture is the way to go. Microservices can be much more organized than monolithic apps, easier to manipulate when trying to single out one service, can have easier scaling abilities, and less room for error when changing or modifying an area of code within the application.

The downside that companies run into with microservices is that they tend to require more time to design at the beginning (and with much more overhead). Although, down the road, it can be much more cost-effective changing services in a microservices architecture rather than a monolithic.

For businesses that want to see a faster pace and more adaptability, migrating from a monolithic architecture to a microservices architecture might just be the way to go. Using a team experienced with this form of architecture is crucial for the success of the application. When upgrading, it’s important to build out the infrastructure and management system first, and then slowly migrate over services that are either fairly simple or relatively independent compared to others. Start from edge services and slowly work your way into the core capabilities of the application. It’s important to do it this way so that the core functionality of the application is not affected. If at any point there are services that rely on the monolith core after breaking it away, it’s a sign that this particular service is not defined enough and needs to be reworked into smaller, separate services.

While this might be a rather extensive migration process at first, it will create much more flexibility and scalability in the long run for the application. Charter Global can upgrade your existing big application into multiple independent manageable microservice applications so that each application can run on its own. With microservices, your application will be able to save you measurable costs than if you had stayed with the slow-moving monolithic architecture that once applied to your business but is no longer viable.

The post Upgrading Monolithic Applications into Microservices Architecture appeared first on Charter Global.

A Gherkin-based API testing tool is ideal for quick prototyping and simpler testing to any depth of testing you want. Karate features a simple quick start mode, integrated dashboards, and other user-friendly designs that are gaining attention from the testing and developers community.

Why Use Karate for Microservices Testing?

1. Karate has a simple and intuitive DSL (Domain-Specific Language) format that allows developers to write tests with a minimum amount of effort. Karate also allows reusing test scenarios.
2. Karate enables parallelizable testing when you have to run multiple tests and as a result you can save time and reduce the CI/CD duration cycles. Hence, Karate relieves you from redundancy activities since test scenarios are independent of one another and thus running tests in parallel can readily be done with a lot of uniqueness and creativity.
3. Nowadays, JSON (JavaScript Object Notation) is the most used format for parsing data across rest APIs, and in most cases, tests are written in most programming languages. For instance, JAVA requires a POJO (Plain Old Java Object) to convert such a test to JSON-based APIs using a serializer. Karate on the other hand offers diverse ways to create and declare JSON as-is and in the same way as it was sent from the calling side. This practice minimizes error and ensures optimal readability.

The post How to use Karate while Microservices Testing appeared first on Charter Global.

DevOps and Microservices are two very important technological trends gaining traction in the realm of software development. Both practices were designed to provide professional efficiency and better agility for enterprises. When deployed simultaneously, these two technologies form a perfect union in working to create harmony between your IT department and business units.

Monolithic App Conversion

The microservices architecture was formed using DevOps ideologies that are in use by major companies such as Facebook, Netflix, SoundCloud, and Amazon. Most of these companies, in fact, started out with monolithic applications and grew rapidly into decomposed services. Their communication via network-based messaging protocols such as RESTful APIs eventually evolved into the microservice architecture.

Microservices and DevOps went beyond converting monolithic apps into decomposed services. Basically, DevOps-centric companies changed the way they work: their approaches to software development, development cultures, organizational structures and a strong affinity to cloud-based automation and infrastructure. The same is true with companies with a success record using microservices; they both drive towards development, scalability and speed. These also became the values in agile development.

CI/CD

With the adoption and growth of agile methods, other innovative microservices-based concepts began to emerge. One good example is Continuous Integration (CI). The CI concept combines agile ideologies with microservices to expedite the production and release of software, leading to the development and practice of Continuous Delivery (CD). CD has a quality-centric ideology that aims to speed up production of shippable goods.

Changing the Game with DevOps and Microservices

The microservice architecture introduced changes that were well received by most modern application creators. The result of this is evident, as the productivity rate is now higher and more flexible. Scalable solutions are now delivered to clients requesting such applications.

Charter Global has a dedicated team of experts who deploy microservices in our DevOps fields to create automated tasks in sustainable and high-performing environments. We do this in both smaller and larger scales

Here are some benefits of the DevOps-microservices synergy:

1) Reability: Only minimal errors are experienced with microservices. This is because faults with a microservice function only affect that microservice and its consumers, unlike a monolithic application where a fault can cause the whole monolith to fail.

2) Availability: It takes little downtime to release a whole new version of a particular app using microservices.

3) Deployability: With microservices, expect increased agility, which makes it extremely easy to update and upgrade into newer versions of a service. Agility makes the build shorter and faster, as well as the testing and deploying cycles. This also enables flexibility, service specificity in the replication, security, persistence, and monitoring of configurations.

4) Scalability: You can scale a microservice independently using grids, pools and/or clusters. This characteristic is what makes microservices compatible to cloud’s elasticity.

5) Modifiability: Imagine the possibility of easy modification due to its flexibility to new frameworks, data sources, libraries, and other valuable resources.

6) Management: DevOps and Microservices leverage agile methodology, which divides the application development effort across smaller and more independent teams.

7) Productivity: DevOps works best with Microservices to bring about additional productivity using a common tool set that functions perfectly with both development and operations.

The post DevOps and MicroService Form a Perfect Union appeared first on Charter Global.

1) What Exactly are Microservices?

Scaling and changing large applications can be difficult. On the other hand, the task is much simpler when smaller components are involved. At this point, microservices are a great and quick solution. In simpler terms; microservices refer to splitting up the big monolithic applications to create really small, loosely components that are coupled. As a result, changing and scaling applications is easy.

2) Would Microservices be useful for my company, organization, or startup?

Determining whether microservices are fit for your organization should be the first step in your assessment of it’s usefulness. As an organization, if you desire to deploy in a super-fast manner or effect changes on the system in a really quick way, microservices are the answer.

Companies should take cue from renowned organizations such as Netflix, Amazon and Uber — these are able to make tons of hundred changes on a daily basis by adopting microservices.

3) How does open source technology complement Microservices?

How does open-source complement microservices? By choosing microservices, the need for substantial application infrastructure support will also arise — since it would be necessary to leverage tools for communication management between services, plus the need to accomplish auditing, logging, monitoring, as well as service discovery.

Before now, a lot of the tooling was based on open-source technologies. A number of organizations took advantage of the open-source tools in a combined component to design their own microservices platform. However, as established cloud vendors natively support these features on their platform, this is starting to change.

4) Who benefits from Microservices?

The sectors that are massively using this architecture heavily include e-commerce platforms and online retail companies such as Amazon. The BFSI sector is another sector that is heavily leveraging this infrastructure.

This industry sits on tons of legacy applications. Besides, present-day banking requires digital business technology support — for example, is mobility as well as loT. The model involved requires systems to feature a design that is service-oriented.

5) What is some advice for adopting Microservices technology?

According to experts, chief technology officers and entrepreneurs seeking to integrate microservices should pay attention to the following;

• Focus more on people and processes. Those who are not familiar with concepts such as DevOps and agile and do not embrace automation CI/CD would not be able to leverage microservices —- as good as the design is.
• Do not rush in to adopt the model because of its popularity. Instead, take a pragmatic strategy and determine if scalability or hyper agility is suitable. Otherwise, go for something that is more suitable at the present level of the business.
• It is important to say that migrating to a highly distributed design like microservices does not get rid of the complexity. Instead, the complexity contained in the monolithic applications is now being distributed between services. And, the management required at this level is huge and necessitates changing the team structure.

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Formerly, when using MicroServices, ever-present infra-related issues were problematic. Luckily, through the tremendous open source community, many of these problems have been dealt with head-on. Explore the highlights of 5 microservices trends to look out for in the near future.

1. No More Worries about Protocols

Burdensome uncertainty in protocol marked a popular trend in the realm of microservices. Should it be the regular HTTP? Why not the recently matured HTTP/2? Indeed, deciding the best protocol has become worrisome and tedious. However, new developments in protocol will likely eliminate this worrisome task. Why, you ask? There will be the rise of protocol agnostic platforms. So then, users are enabled to communicate with other protocols without intense translation middleware methodology. Additionally, it would in turn aid better connectivity of microservices. Finally, there will be more robust protocol combinations such as GRPC ->HTTP, HTTP->GRPC, and GraphQL->GRPC.

2. Not Just Functions but Features as a Service

Currently, there are numerous available APIs. It becomes easy to kick start functionality with the aid of helpers such as Firebase and services on AWS. When microservices are programmed in a key-based direction, they can act as a feature geared towards multiple applications. A typical example is the authentication of every API, called using an app id. This helps individuals to design really fascinating feature pools and make room for their easy cloud orchestration in an agnostic manner.

3. Container Driven CI/CD

Argo, as well as other projects, tends to treat containers like tasks. Even the version 1.6 of Kubernetes initially introduced initContainers as post tasks geared towards extra configuration. In 2019, adopting containerization to abstract CI and CD will be a major trend. It would be better to treat them as cron job, rather than hook them up in an infra. Also, they should be treated as occurrences resulting from an event firing via code, rather than getting them hooked up in an infra.

4. Microservices Shared Data/Contexts

When it comes to the pattern of building microservices, processes are becoming increasingly ‘loosely coupled’ as well as stern. There’s an emergence of several event-driven tools; typical examples include ‘Serverless’ Event Gateway. This pitches event-driven microservices.

Automated microservices can be enabled via listening to a hitch-free login event of a different microservice inside an application, without manually firing even one event. At the same time, it possesses the ability to control what gets to third party listeners. It’s time to treat today’s microservices with dependencies alongside communication.

5. Less or Zero Worry about Infra

Don’t worry anymore about infra, but focus on their application requirements. The Serverless style will become a focus this year, to enable easy environments to switch away from “always on”. Besides, there’s a need to support additional languages. There should be a possibility for using any language and making it serverless.

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#1: Test Automation

Conventionally, individuals structured test cases for determining whether or not software will work correctly across a wide range of circumstances. Quality assurance (QA) engineers were often responsible for creating and running test cases. The current trend is for software engineers to be in charge of testing, instead of the traditional QA team. This is the result of test-driven development that requires developers to carry out tests throughout the Continuous Integration (CI) pipeline.

Businesses and organizations look forward to a software testing solution that automates design and has the ability to run and report the results. So, there should be no friction with this solution. It should smoothly connect to CI systems, add comments as a human engineer would do, and analyze new code in real time.

#2: Incident Response

The rise of Site Reliability Engineers is a response to the intricately distributed systems. These systems suffer resiliency challenges often. So, the engineers automate manual processes that were previously performed by system admins. Now, they are in charge of efficiency, performance, latency, availability, capacity planning, and emergency response.

The financial implications of downtime can be quite significant, which necessitates a fast solution. According to Gartner, this financial implication is up to approximately 6k average revenue loss per minute. In fact, big retail sites, such as Amazon, may encounter up to $220k revenue loss per minute. Overall, it is not just money that is lost, the brand’s image is also at risk with such downtime issues.

Solutions are expected to be geared towards providing innovative incident response. Therefore, any centralized platform should also list out the impact and status of the incident, including the event timeline, status and effect on the long run, in addition to assigning roles and kicking off workflows.

#3: CD/Verification for Enhanced Productivity

CD simply stands for Continuous Deployment. There’s always pressure on businesses to speed up software release cycles. With CD, any code that passes testing is applied to production in an automated manner. Compared to CI, the task of ensuring code can be safely and rapidly deployed to production is accomplished by a set of design. Continuous Deployment goes further to manage the full deployment.

The manual activities of DevOps engineers are being replaced by CD. Because of this, CD will be aided to become a point of intelligent control for multi-cloud environments. It will make predictive abilities available. Such predictive capabilities include insights into the best region, cloud, as well as configuration for service deployment in line with its circumstances.

Finally, experts have predicted that more developers will be tooling around the deployments of microservices, which would cut down the cost associated with complexity. So, organizations can keep on the trend of migration to microservice architectures.

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