- Scoping, implementation and support for IS urbanization
- Choice of solution and integration of API/Event manager
- Enterprise architecture
- Cloud support: Move2Cloud, Cloud Native
- Securing platforms
- DevOps, Automation and Full Stack Observability
In parallel with DevOps and DevSecOps practices, Clever Age’s technical teams can seamlessly integrate with client organizations and assist with custom development needs while adhering to methodologies, including Agile, and following established code development patterns.
Managing operational maintenance, evolution, and the introduction of new technological components to support your business is a complex and often siloed endeavor. The primary goal of enterprise architecture is to facilitate informed decision-making regarding technological investments, optimize business processes, improve operational efficiency, minimize risks, and ensure the longevity of IT systems.
We collaborate with your teams to analyze existing business and technical capabilities, identify opportunities and risks, and develop short, medium, and long-term proposals. Our aim is to create a systemic and holistic enterprise architecture strategy that aligns with your organization’s goals and objectives.
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API management and event streaming are essential and complementary components of your information systems. APIs provide controlled access to data and services, while events enable an asynchronous architecture driven by event-triggered actions and reactions. These two concepts can be combined to achieve a more flexible, scalable, and decoupled architecture. This combination is particularly valuable in event-driven architectures where responsiveness and real-time information dissemination are crucial, and it also applies to IoT architectures.
– Bridging the gap between Dev and Ops teams (including Security)
– Automation of the integration and deployment pipeline (CI/CD) : Automated testing, Automated deployments
– GitOps approach
– Infrastructure as Code
– Performing security audits (pentests) : Blackbox, GreyBox, Whitebox testing
– Incident response, Forensics
– SecOps approach
Shift security to the left : Employee training, Considering security constraints at project initiation, Automation (Static code analysis, Dynamic code analysis, Dynamic site analysis, Dedicated security team)
– Cloud migration advisory/strategy (Move to Cloud)
– Public Cloud managed services
– Infrastructure as Code
– FinOps (Financial Operations)
– SRE as a Service
Data collection, storage, processing, and analysis of datasets are the challenges of the decade, especially when dealing with large volumes of data while striving for faster response times. Technology is pushing the boundaries, and vendors are leading us towards “hyper-scale,” particularly in the realm of Data Platforms. But is it an evolution or a revolution? Do the results live up to the promises? How does a Data Platform work, and how does it bring value and efficiency to the enterprise? How can the inherent costs of operating a Data Platform be managed (FinOps)? Does the market solely revolve around AWS, GCP, and Azure? What role do Master Data Management (MDM) and other repositories play in a Data Platform architecture? How can the capabilities of AI be leveraged once the Data Platform is properly implemented?
These are some of the questions we aim to address within the context of your business.
Domain-Driven Design (DDD) is an approach to designing architectures that address complex or evolving needs. This collaborative approach is neither a technology nor a method, but a mindset during the design process. Its iterative cycle consists of three phases, which enable:
– Exploration: Discovering, understanding, and sharing needs.
– Drawing an architecture strategy: Decomposing, connecting, and organizing.
– Defining an implementation tactic to design and maintain the technical solution.
Regardless of the method used, it is essential to find one that works well with your teams. You may already have material to initiate or fuel the DDD approach.