Agile Architecture Events Microservices 
Tandem
SEPTEMBER 12, 2023
Microservice architecture has been a hot topic in the realm of software development for a while now. This blog post will provide a balanced view of the advantages and disadvantages of microservice architecture for enterprise software systems. However, like any technology, it has its strengths and weaknesses.
Altexsoft
JUNE 29, 2021
These days, it’s getting more common for application designs to be built on an event-driven architecture. In this article, we’re going to talk about event-driven architecture (EDA) and its most commonly used messaging pattern, publish/subscribe (pub/sub). Understanding event-driven architecture and pub/sub.
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CIO
DECEMBER 22, 2023
His responsibilities now range from encompassing technology architecture and operational stability, to security, cost management, partnership oversight, and domain-specific deliveries, among others. Thought Machine generates all these events. There’s a famous saying that says, ‘Vision without execution is hallucination,’” he says.
CIO
JUNE 19, 2023
The model ensures user experience, service resilience, and service security, helping institutions move from host architecture to containerised applications and eventually, to hybrid multi-cloud. The distributed architecture now outperforms the original core host platform, notably with lower latency.
CIO
JUNE 15, 2023
The model ensures user experience, service resilience, and service security, helping institutions move from host architecture to containerised applications and eventually, to hybrid multi-cloud. The distributed architecture now outperforms the original core host platform, notably with lower latency.
CIO
OCTOBER 13, 2022
What they are less decisive about is how to map the right cloud modernization journey, one that is efficient and secure while delivering business agility and competitive advantage. When refactoring applications, it’s critical to decompose a monolith application into microservices that can fetch data for different business transaction.
CIO
FEBRUARY 14, 2023
To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. Cloud-native apps, microservices and mobile apps drive revenue with their real-time customer interactions.
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