Cloud and containers
AWS, Microsoft Azure, Docker, Kubernetes and cloud-native deployment patterns offer different ways to package, deploy and operate software. Their benefits must be weighed against complexity, cost, security and team capability.
Modernisation involves architecture, infrastructure, delivery practices and the systems already supporting the business. We bring a broad technology perspective to deciding what to retain, integrate, replace or simplify.
AWS, Microsoft Azure, Docker, Kubernetes and cloud-native deployment patterns offer different ways to package, deploy and operate software. Their benefits must be weighed against complexity, cost, security and team capability.
Build and deployment pipelines, environment management, automation and developer workflows influence how reliably software moves from development into production. Platforms should reduce friction without creating unnecessary layers.
Messaging, event streaming and technologies such as Apache Kafka support integration across services and data flows. Their use calls for deliberate choices around ordering, delivery guarantees, observability and recovery.
Telemetry, logs, metrics, distributed traces and application performance monitoring make production behaviour visible. Splunk, New Relic and OpenTelemetry are examples of the tools and standards within this discipline.
Established applications may contain decades of valuable business logic. Responsible modernisation starts with understanding dependencies and behaviour, then choosing an incremental or replacement strategy supported by evidence.
An application publishes events to Kafka topics, where independent consumer groups can process the stream for reporting, business services, data pipelines and AI workflows.
Selected external documentation for readers who want to explore the technologies and practices discussed here. These links are informational and do not imply a commercial partnership.
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