Refactor, Re-Platform, or Re-Architect Your Reliable Apps Smartly & Effortlessly
Application modernization by leveraging the latest options of platform as a service such as microservices, serverless, and containers deliver substantial dividends — if done correctly. INFOLOB helps global enterprises spark new lease of life into their beloved apps with its all-inclusive, expert, and express platform re-engineering services.
Change Management Services
The need for change management arises from many factors such as mergers and acquisitions, adoption of new technologies, organizational restructuring, and regulatory mandates. INFOLOB technology practitioners acknowledge the criticality of combining change management with practical business strategy, and therefore, our focus is on analytics and insights to drive sustainable change. Our change management services utilize an array of innovative tools and resources to meet the needs of every client’s unique situation. Some of our other value propositions are: specialized expertise with industry best practices, objectivity to identify blind spots or biases, efficiency to save time and resources, continual stakeholder engagement, immaculate risk management, and sustainable change. Here is how we do it:
Change readiness assessment to identify potential roadblocks and areas for improvement.
Change planning and implementation that involves stakeholder engagement to develop a comprehensive change plan, including timelines.
Communication planning to ensure that all stakeholder are informed and engaged throughout the change process.
Training and development programs to equip your employees with the skills and knowledge they need to changes in the organization.
Change monitoring and evaluation in terms of effectiveness of the change + providing feedback and recommendations for improvement.
Move Apps from Monolithic Architecture to Microservices, Seamlessly
Deploy and scale your data infrastructure across cloud, hybrid, or on-prem environments with the flexibility to support dynamic business demands.
Enable self-service analytics and governed access for all users—from executives to analysts—through structured, role-based data availability.
Seamlessly integrate data pipelines with AI and ML workflows, enabling predictive analytics and intelligent automation at enterprise scale.
Drive business growth by powering dashboards, visualizations, and custom analytics using real-time and historical data from a single source of truth.
Deploy and scale your data infrastructure across cloud, hybrid, or on-prem environments with the flexibility to support dynamic business demands.
Enable self-service analytics and governed access for all users—from executives to analysts—through structured, role-based data availability.
Seamlessly integrate data pipelines with AI and ML workflows, enabling predictive analytics and intelligent automation at enterprise scale.
Drive business growth by powering dashboards, visualizations, and custom analytics using real-time and historical data from a single source of truth.
Move Apps from Monolithic Architecture to
Microservices, Seamlessly
Among the most common undertakings of enterprise IT leaders these days is to shift their applications to a microservices architecture. This upgrade facilitates individual component scaling, imparts agility to quickly develop and deploy new features without changing the entire app, makes their architecture resilient and fault-tolerant, includes technology diversity, helps in-house teams to work autonomously, and supports cloud-readiness.
The struggle that enterprise leadership oftentimes face is that while microservices-based architecture offers numerous benefits — it can lead to a chaotic situation if not implemented correctly, and thereby resulting in additional costs related to development, testing, deployment and cloud services. INFOLOB’s Microservices consultancy services are battle hardened with numerous deliveries over the years and involves our own set of best practices that ensure seamless adoption. Following is a snapshot of our typical methodology:
Identify key business capabilities of the monolithic application that can be separate into individual microservices. Each microservice should be responsible for a specific business capability, with a well-defined boundary and minimal dependencies on other microservices.
Define service boundaries for each microservice. This includes determining the inputs and outputs of each microservice as well as the protocols and data formats that will be used for communication.
Design for resilience and fault-tolerance with the ability to handle errors and recover from failures. This can include techniques such as circuit breakers, bulkheads, and timeouts.
Implement DevOps practices such as CI/CD practices and automated testing to ensure that microservices are reliable and maintainable with a higher degree of automation and collaboration between development and operations teams.
Efficient management of data consistency by implementing techniques such as event-driven architecture, eventual consistency, and distributed transactions. This ensures data sharing between services, which can be challenging to manage.
Usage of API gateways to provide a unified interface to microservices. This makes it easier to manage and scale the overall system. The API gateway can also provide features such as authentication, rate limiting, and caching.
Monitoring and troubleshooting microservices to ensure they perform optimally. This includes implementing logging and monitoring as well as using tools such as distributed tracing to track requests across multiple microservices.
Adopt Serverless Architecture and Auto-Scale On-Demand
Managing servers 24x7x365 is cost-intensive and involves security vulnerability. On the other hand, serverless architectures offer several benefits including reduced operational overhead, cost savings via paying only for the resources you use, auto-scaling depending on peak periods, faster time-to-market, high availability, and integration with multiple cloud services. INFOLOB Serverless Services provide reference architectures, automated provisioning, and DevSecOps pipelines for common serverless use cases. Our serverless architecture enablement services involve following steps:
Identify candidate applications that can benefit from serverless architecture. Generally, applications with unpredictable or varying workloads, event-driven architectures, or those with periodic spikes in traffic are good candidates.
Analyze application requirements to gather requirements in terms of scalability, availability, security, and data management. This helps determine whether and which serverless architecture is the right fit for the application.
Choose a serverless platform that meets the application requirements including features such as multi-cloud integration, auto-scaling, and high availability. Our services include all major platforms including Oracle Cloud Infrastructure (OCI) Functions, AWS Lambda, Google Cloud Functions, and Azure Functions.
Design serverless functions to be stateless and idempotent, with a clear input and output interface. They should also be designed to handle errors and retries, and integrate seamlessly with other services in the application.
Implement serverless functions using the chosen serverless platform. This typically involves writing code in a supported language, such as Node.js, Python, or Java, and deploying the function to the serverless platform.
Test and iterate thoroughly to ensure that the new architecture meets the application requirements and integrates seamlessly with other services. Iteration on the design and implementation is done to refine the application.
Monitor and optimize the performance. This includes monitoring metrics such as response time, error rates, and resource utilization. This final step also includes optimizing apps as necessary to improve performance and reduce costs.
Containerize to Use Compute Resources Efficiently
By choosing our containerization services, businesses can gain several measurable outcomes including reduced IT infrastructure costs by improving resource utilization and reducing the need for dedicated hardware, improved agility in order to respond to changes in user traffic or workload by easily scaling up or down their containerized applications, strengthened security posture by isolating applications in self-contained environments that are harder to compromise, and optimized resource utilization by running multiple applications on a single host. Explore more in INFOLOB OKE Services.
While Docker is a popular containerization technology that provides container runtime engines and container registries, Kubernetes is an open-source container orchestration platform that provides advanced container management capabilities. INFOLOB’s containerization services cut across both as well as utilizes containerization toolchains such as include Docker Compose, Kubernetes, and Prometheus. The following summarizes our methodology:
Application analysis to determine if it can be containerized. Some applications may not be suitable for containerization due to dependencies, licensing restrictions, or other factors.
Selection of containerization platform among Docker, Kubernetes, OpenShift, and others depending on the application's requirements and the business' needs.
Containerization design by creating a Dockerfile or other configuration files that specifies how the container should be built. The Dockerfile specifies the dependencies, environment variables, and other parameters required to run the application.
Container building, which involves running the configuration file to create the container image. The image can then be pushed to a container registry where it can be easily deployed and managed.
Container deployment, which, oftentimes, involves deploying the container to a single host or to a cluster of hosts managed by a container orchestration platform such as Kubernetes.
Container management by the means of monitoring the container's performance, scaling it up or down as required, and ensuring that it remains secure and up-to-date.
Container decommissioning once the application is no longer needed. This involves removing the container from the container environment and deleting the container image from the container registry.
