#fault-tolerance

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InfoQ
1 month ago
DevOps

How Google Does Chaos Testing to Improve Spanner's Reliability

Chaos testing is crucial to ensure high reliability in complex systems like Google's Spanner database. [ more ]
#scalability
InfoQ
3 months ago
JavaScript

From Smoothie Architecture to Layer Cake with Durable Execution

Understanding the concept of durable execution in cloud-native environments is crucial for scalability, fault tolerance, and fast innovation.
Fault tolerance is a critical aspect that transcends and influences various other concerns in cloud-native development, such as dealing with state, concurrency, and failures. [ more ]
Amazic
5 months ago
Business intelligence

6 best practices to ensure reliability & consistency in stateful workloads - Amazic

Stateless workloads do not retain information about past interactions and are inherently more scalable and fault-tolerant
Stateful workloads retain information about the state of the application and provide a more personalized experience but are more complex [ more ]
Sitepoint
5 months ago
DevOps

Accelerating the Cloud: The Final Steps - SitePoint

Cloud native platforms are a powerful alternative to x86-based compute.
Cloud native application development involves breaking applications into smaller microservices. [ more ]
Scalac - Software Development Company - Akka, Kafka, Spark, ZIO
2 weeks ago
Scala

How Akka Specialists Drive Innovation in Software Projects

Having Akka specialists is essential for leveraging the Akka toolkit's robust framework in building scalable and resilient software systems. [ more ]
InfoQ
3 months ago
JavaScript

From Smoothie Architecture to Layer Cake with Durable Execution

Understanding the concept of durable execution in cloud-native environments is crucial for scalability, fault tolerance, and fast innovation.
Fault tolerance is a critical aspect that transcends and influences various other concerns in cloud-native development, such as dealing with state, concurrency, and failures. [ more ]
Amazic
5 months ago
Business intelligence

6 best practices to ensure reliability & consistency in stateful workloads - Amazic

Stateless workloads do not retain information about past interactions and are inherently more scalable and fault-tolerant
Stateful workloads retain information about the state of the application and provide a more personalized experience but are more complex [ more ]
Sitepoint
5 months ago
DevOps

Accelerating the Cloud: The Final Steps - SitePoint

Cloud native platforms are a powerful alternative to x86-based compute.
Cloud native application development involves breaking applications into smaller microservices. [ more ]
Scalac - Software Development Company - Akka, Kafka, Spark, ZIO
2 weeks ago
Scala

How Akka Specialists Drive Innovation in Software Projects

Having Akka specialists is essential for leveraging the Akka toolkit's robust framework in building scalable and resilient software systems. [ more ]
morescalability
InfoQ
4 months ago
DevOps

Grab Improves Kafka on Kubernetes Fault Tolerance with Strimzi, AWS AddOns and EBS

Improved fault tolerance and automated recovery for Kafka on Kubernetes setup at Grab using AWS Node Termination Handler and Load Balancer Controller.
Enhanced security with Strimzi in the initial design, now integrated with AWS NTH for graceful Kafka shutdown to prevent errors and manual intervention. [ more ]
Rubyflow
5 months ago
Ruby on Rails

Etcher 1.0.0: A flexible configuration loader and transformer.

Etcher gem 1.0.0 release
Flexible, customizable, and fault-tolerant design [ more ]
Rubyflow
5 months ago
Design

Etcher 1.0.0: A flexible configuration loader and transformer.

Etcher gem 1.0.0 release
Flexible, customizable, and fault-tolerant design [ more ]
Medium
7 months ago
Scala

Checkpoint in the Flink Streaming Job

Checkpoints in Apache Flink ensure the resiliency and fault tolerance of streaming data applications.
Checkpoints allow for the consistent snapshotting of the state of the application, enabling recovery in case of failures.
Flink provides options for storing checkpoints, including in-memory checkpoints and RocksDB. [ more ]
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