Overview Hazelcast, a powerful in-memory data grid, offers a robust platform for distributed computing, scaling across clusters, and managing large datasets in real-time. One of Hazelcast’s core strengths is its distributed data structures, which allow developers to scale their applications while maintaining performance, resilience, and availability. In this article, we explore the most important Hazelcast […]
Overview Hazelcast SQL Expressions provides a powerful and flexible way to interact with data stored in Hazelcast clusters using SQL syntax. This feature allows developers to leverage familiar SQL expressions to manipulate data, making it easier to perform complex queries and analyses. This guide will explore Hazelcast SQL expressions, covering key concepts, syntax, and practical
Overview Hazelcast has in-memory data platform, it offers distributed data structures and stream data processing capabilities. One of its important features is the ability to perform SQL queries over distributed data. Hazelcast SQL makes it easier to interact with distributed data structures, such as maps, in a manner similar to relational databases. Understanding Hazelcast SQL
Overview Hazelcast, a leading in-memory data grid, offers seamless integration with SQL queries, making it a powerful tool for developers who need both scalability and performance. The Hazelcast SQL Query Example provides a structured way to query data stored within Hazelcast clusters, combining the flexibility of SQL with the speed of in-memory computing. In this
Overview In modern software development, managing date and time effectively is crucial, especially when working with distributed systems or APIs. Two common representations for date and time are Google’s Protocol Buffers (com.google.protobuf.Timestamp) and Java’s Date-Time API (java.time.LocalDateTime), also work on Convert protobuf Tiimestamp and LocalDateTime. To Convert protobuf Tiimestamp and LocalDateTime, you’ll need to handle
Overview gRPC is a high-performance RPC framework developed by Google, enabling efficient communication between services in different programming languages. One of its standout features is bidirectional streaming, allowing both the client and server to send a sequence of messages to each other. This guide will help you set up and implement gRPC bidirectional streaming in
Overview gRPC Unidirectional Streaming in Java allows a server to continuously send multiple responses to the client after receiving a single request. The connection remains open, and the client can process the incoming stream of messages in real-time. This type of streaming is highly efficient for real-time systems, such as monitoring applications, chat services, or
Overview gRPC ManagedChannel with SSL/TLS is the core communication channel between a gRPC client and a gRPC server. It manages the connection, load balancing, retries, and handles the lifecycle of network connections. When working with secure communications, it’s important to configure this channel with SSL/TLS for encryption and authentication. In this guide, we will explore
Overview gRPC has rapidly gained popularity in the world of microservices due to its high performance, efficiency, and cross-language support. By using Protocol Buffers (protobuf) for data serialization and HTTP/2 for communication, gRPC offers a modern, efficient, and scalable way to build distributed systems. In this blog, we’ll walk through building your first gRPC Hello
Overview The GRPC HTTP2 Protocol protocol represents a significant advancement over its predecessor, HTTP1.1. Understanding HTTP2 and its benefits can help you enhance your online presence by improving website performance and user experience. Here’s a detailed look at how HTTP2 can make a difference for your site: What is HTTP2? HTTP2 is the second major
