#distributed-systems

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Artificial intelligence
fromInfoQ
1 day ago

Akka Launches New Deployment Options for Agentic AI

Akka has launched new deployment options to simplify the large-scale deployment of agentic AI systems for developers.
fromHackernoon
1 month ago
Deliverability

Backpressure Isn't a Bug: It's a Feature for Building Resilient Systems | HackerNoon

Backpressure enables distributed systems to scale properly by managing the flow of data to prevent overload.
#software-development
Angular
fromMedium
2 months ago

Building a Full-Stack Component

Modern software systems are increasingly modular and distributed, focusing on loosely-coupled components for autonomy and efficiency.
fromComputerWeekly.com
4 weeks ago
DevOps

KubeCon London: Prepare for a shake-up | Computer Weekly

Modern software development struggles with code deployment due to increased responsibilities from distributed systems and persisting organizational silos.
Angular
fromMedium
2 months ago

Building a Full-Stack Component

Modern software systems are increasingly modular and distributed, focusing on loosely-coupled components for autonomy and efficiency.
fromComputerWeekly.com
4 weeks ago
DevOps

KubeCon London: Prepare for a shake-up | Computer Weekly

Modern software development struggles with code deployment due to increased responsibilities from distributed systems and persisting organizational silos.
more#software-development
#microservices
Artificial intelligence
fromTechCrunch
1 month ago

Dapr's microservices runtime now supports AI agents | TechCrunch

Dapr Agents enable developers to build AI agents efficiently, leveraging its foundational features for orchestration and statefulness in distributed applications.
fromDevOps.com
6 months ago
DevOps

Mastering the Art of Troubleshooting Large-Scale Distributed Systems - DevOps.com

Troubleshooting large-scale distributed systems requires a deep understanding of system architecture and component interactions.
fromInfoQ
6 months ago
DevOps

Article Series: Cell-Based Architectures: How to Build Scalable and Resilient Systems

Reliability in distributed systems remains a major challenge, especially with increasing complexity and cloud computing.
fromInfoQ
1 week ago
Software development

LittleHorse, a Java Workflow Engine for Distributed Systems Orchestration

LittleHorse simplifies orchestration of distributed systems by focusing on state management and workflow coordination using familiar programming languages.
fromMedium
3 months ago
JavaScript

Introduction Guide to RPC in Golang

RPCs offer significant advantages over traditional APIs in distributed systems.
fromHackernoon
3 years ago
DevOps

Understanding Kafka with Factorio | HackerNoon

Decoupling microservices with Kafka leads to greater resilience in distributed systems.
Artificial intelligence
fromTechCrunch
1 month ago

Dapr's microservices runtime now supports AI agents | TechCrunch

Dapr Agents enable developers to build AI agents efficiently, leveraging its foundational features for orchestration and statefulness in distributed applications.
fromDevOps.com
6 months ago
DevOps

Mastering the Art of Troubleshooting Large-Scale Distributed Systems - DevOps.com

Troubleshooting large-scale distributed systems requires a deep understanding of system architecture and component interactions.
fromInfoQ
6 months ago
DevOps

Article Series: Cell-Based Architectures: How to Build Scalable and Resilient Systems

Reliability in distributed systems remains a major challenge, especially with increasing complexity and cloud computing.
fromInfoQ
1 week ago
Software development

LittleHorse, a Java Workflow Engine for Distributed Systems Orchestration

LittleHorse simplifies orchestration of distributed systems by focusing on state management and workflow coordination using familiar programming languages.
fromMedium
3 months ago
JavaScript

Introduction Guide to RPC in Golang

RPCs offer significant advantages over traditional APIs in distributed systems.
fromHackernoon
3 years ago
DevOps

Understanding Kafka with Factorio | HackerNoon

Decoupling microservices with Kafka leads to greater resilience in distributed systems.
more#microservices
fromInfoQ
1 week ago
React

Fast Eventual Consistency: Inside Corrosion, the Distributed System Powering Fly.io

Fly.io's Corrosion improves data handling by utilizing CRDTs for eventual consistency across globally distributed nodes.
fromHackernoon
1 year ago
Digital life

Challenges of Real-Time Data Processing in Financial Markets | HackerNoon

Real-time data processing is crucial in financial markets, where small delays or inconsistencies can significantly impact trading outcomes.
fromInfoQ
1 month ago
Deliverability

Beyond Trends: A Practical Guide to Choosing the Right Message Broker

Different message brokers (stream-based or queue-based) have distinct advantages depending on usage scenarios.
Stream-based brokers support efficient message replay but struggle with scaling issues, while queue-based brokers offer better auto-scaling and ordering.
History
fromHackernoon
1 month ago

Why Solana's Consensus System is Both Genius and a Hardware Hog | HackerNoon

Consensus mechanisms ensure agreement among network participants in blockchains, enhancing security and reliability.
#cap-theorem
fromHackernoon
2 years ago
DevOps

Mastering the Cloud: A Guide to Distributed Systems | HackerNoon

Conceptual frameworks simplify the understanding and design of distributed systems for engineers.
Distributed systems require strategic trade-offs to balance consistency, availability, and partition tolerance.
fromHackernoon
4 years ago
Miscellaneous

Why Distributed Systems Can't Have It All | HackerNoon

The CAP theorem illustrates the fundamental constraints in designing distributed systems, emphasizing tradeoffs between consistency, availability, and partition tolerance.
fromHackernoon
2 years ago
DevOps

Mastering the Cloud: A Guide to Distributed Systems | HackerNoon

Conceptual frameworks simplify the understanding and design of distributed systems for engineers.
Distributed systems require strategic trade-offs to balance consistency, availability, and partition tolerance.
fromHackernoon
4 years ago
Miscellaneous

Why Distributed Systems Can't Have It All | HackerNoon

The CAP theorem illustrates the fundamental constraints in designing distributed systems, emphasizing tradeoffs between consistency, availability, and partition tolerance.
more#cap-theorem
fromNew Relic
3 months ago
JavaScript

Simplify Go application monitoring with New Relic's Go easy instrumentation

New Relic's Go easy instrumentation simplifies performance monitoring for Go applications, allowing for efficient insights without manual configuration.
#scalability
fromInfoQ
4 months ago
Business intelligence

Inside Netflix's Distributed Counter: Scalable, Accurate, and Real-Time Counting at Global Scale

Netflix's Distributed Counter Abstraction effectively manages complex counting requirements, offering scalable solutions for user interactions and feature usage with low latency.
fromMedium
8 months ago
DevOps

Building Resilient Systems: Essential DevOps Practices for Scalability and Reliability

Resilient, scalable, and highly available systems are vital in today's digital ecosystem, driven by effective design and strategic implementation.
fromInfoQ
4 months ago
Business intelligence

Inside Netflix's Distributed Counter: Scalable, Accurate, and Real-Time Counting at Global Scale

Netflix's Distributed Counter Abstraction effectively manages complex counting requirements, offering scalable solutions for user interactions and feature usage with low latency.
fromMedium
8 months ago
DevOps

Building Resilient Systems: Essential DevOps Practices for Scalability and Reliability

Resilient, scalable, and highly available systems are vital in today's digital ecosystem, driven by effective design and strategic implementation.
more#scalability
fromHackernoon
6 months ago
JavaScript

Designing and Implementing Request Throttling | HackerNoon

Implementing throttling in distributed systems is essential to preventing service overload and ensuring stability.
#opentelemetry
fromDevOps.com
7 months ago
DevOps

OpenTelemetry Isn't the Hero We Need: Here's Why it's Failing our Stack - DevOps.com

OpenTelemetry, while offering broad capabilities, suffers from bloating and inefficiency due to corporate influence and too many competing functionalities.
fromMedium
11 months ago
DevOps

Java Application Tracing: Quick Setup in K8S with OpenTelemetry and Jaeger in Under 15 Minutes

Tracing in distributed systems involves monitoring request flow and auto-instrumentation simplifies the process by automatically collecting trace data in Java applications.
fromDevOps.com
7 months ago
DevOps

OpenTelemetry Isn't the Hero We Need: Here's Why it's Failing our Stack - DevOps.com

OpenTelemetry, while offering broad capabilities, suffers from bloating and inefficiency due to corporate influence and too many competing functionalities.
fromMedium
11 months ago
DevOps

Java Application Tracing: Quick Setup in K8S with OpenTelemetry and Jaeger in Under 15 Minutes

Tracing in distributed systems involves monitoring request flow and auto-instrumentation simplifies the process by automatically collecting trace data in Java applications.
more#opentelemetry
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