The NEST client was officially deprecated starting with version 8.13 and will reach its end-of-life by the end of the year. Developers should begin migrating to Elastic.Clients.Elasticsearch to avoid any disruptions.
Getting Started Elasticsearch using Elastic.Clients.Elasticsearch Read More »
The combination of Elasticsearch & Generative AI improves the customer experience, customer retention, and developer productivity by offering highly accurate and relevant search results in no time.
But what allows the integration of Elasticsearch & Generative AI, how does it work, and what steps do you need to execute?
Elasticsearch is a distributed, scalable, open-source search and analysis engine built on Apache Lucene. It is a highly flexible tool
that enables you to analyze and visualize large volumes of data quickly and in real-time. Elasticsearch offers a variety of powerful search features, including searching, sorting, filtering, and text analysis. Elasticsearch is the core component, along with open-source tools for data ingestion (Logstash, Beats) and visualization(Kibana).
Getting Started with Elasticsearch using .Net Core and NEST Read More »
Amazon Kendra vs. Elasticsearch vs. OpenSearch is a tricky comparison due to a huge number of similarities between the three search services. All of them are known for their ability to improve search experiences and enhance customer satisfaction by facilitating multiple types of searches.
Amazon Kendra Vs. Elasticsearch Vs. OpenSearch: Key Use Cases and Pros & Cons Read More »
Communication and data exchange between disparate services and applications are facilitated by messaging systems in modern software architectures. These systems enable asynchronous data flow, ensuring that components function independently without direct dependencies, thus enhancing scalability and fault tolerance. Among the myriad options available, Azure Service Bus, MassTransit, and Apache Kafka stand out due to their robust capabilities and widespread adoption.
Azure Service Bus, a fully managed enterprise integration message broker, is designed to connect different applications across varied data centres and cloud environments. MassTransit, a lightweight message bus for .NET, provides an extensive framework for building applications that leverage message-based architectures. Apache Kafka, on the other hand, excels as a high-throughput distributed event streaming platform, making it ideal for applications that require reliable, real-time data streaming.
Choosing the right messaging system is crucial as it significantly impacts the design and efficiency of your application architecture. Factors such as performance, scalability, message throughput, and system integration capabilities must be considered to ensure that the selected messaging solution aligns perfectly with specific application requirements.
Azure Service Bus vs. MassTransit vs. Apache Kafka Read More »
Phi-3 and ONNX (Open Neural Network Exchange) are revolutionary for local AI development. Phi-3 offers powerful capabilities for constructing AI models, while ONNX facilitates seamless model interoperability across various platforms and frameworks. Together, they empower developers to create, deploy, and scale AI solutions.
This blog will explore OpenAI and Semantic Kernel, guiding you through the setup process and running a sample app. By the end of this getting-started guide, you will have the knowledge to experiment with OpenAI’s features using Semantic Kernel.
Before diving into the hands-on part, let’s provide some background information.
Getting started with Open AI and Semantic Kernel Read More »
Apollo Client is a JavaScript library for managing state. It helps you handle data from both local and remote sources using GraphQL.
You can use it to fetch, store, and update data, and it will automatically refresh your UI.
With Apollo Client, you can structure your code declaratively, aligning with modern development practices and ensuring project consistency.
Transitioning from a monolithic architecture to microservices can be complex and challenging. This article explores common pitfalls during the migration process and offers best practices to ensure a smooth transition. Discover how to avoid costly mistakes and enhance your development workflow
From Monolith to Microservices Architecture – Common Pitfalls and how to avoid them Read More »
Explore the top cloud migration techniques to efficiently move your applications to the cloud. This guide covers lift and shift, refactoring, and replatforming strategies, highlighting their pros, cons, and use cases. Learn how to choose the right approach to optimize performance, scalability, and cost efficiency
