InfoQ Homepage Performance Content on InfoQ
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Automated Horizontal Scaling with Amazon Aurora Limitless Database
AWS recently announced the preview of Amazon Aurora Limitless Database, a new capability supporting automated horizontal scaling to process millions of write transactions per second and manage petabytes of data in a single Aurora database.
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Addressing Orphaned Pods on Netflix’s Titus Container Platform
Netflix's engineering team disclosed the investigation, identification, and resolution of the issue about "orphaned" pods causing inconvenience to engineers on Titus, shedding light on the journey from kernel panics to Kubernetes (k8s) and ultimately providing operators with the tools to understand why nodes are going away
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LinkedIn Migrates Espresso to HTTP2 and Reduces Connections by 88% and Latency by 75%
LinkedIn was able to dramatically improve the scalability and performance of its Espresso database by migrating it from HTTP1.1 to HTTP2, resulting in a reduction in the number of connections, latency, and garbage collection times. To achieve these gains, the team had to optimize the Netty’s default HTTP2 stack to make it fit their needs.
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How HubSpot Uses Apache Kafka Swimlanes for Timely Processing of Workflow Actions
HubSpot adopted routing messages over multiple Kafka topics (called swimlanes) for the same producer to avoid the build-up in the consumer group lag and prioritize the processing of real-time traffic. Using a combination of automatic and manual detection of traffic spikes, the company ensures the majority of customers’ workflows execute without delays.
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OpenTelemetry Logging Marked Stable: Morgan McLean at KubeCon NA
Logging is a core capability of applications today. OpenTelemetry (OTel) has stabilized logging as another available signal within the project. OTel Logging offers improvements to traditional logging.
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How to Become a High-Performing Software Team
The four major elements that enable high-performing software teams are purpose, decentralized decision-making, high trust with psychological safety, and embracing uncertainty. Teams can improve their performance by experimenting with their ways of working.
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Java News Roundup: Spring Framework 6.1, Spring Data 2023.1, Payara Platform, JEPs for JDK 22
This week's Java roundup for November 13th, 2023, features news from OpenJDK, JDK 22, and monthly, milestone and point releases of: Spring Framework; Spring Data; Payara Platform; Open Liberty; Micronaut; Grails; Quarkus; Tomcat; Apache Camel; Vert.x; Mojarra; Micrometer Metrics and Tracing; Project Reactor; Piranha; JDKMon; JobRunr; JHipster Lite; Testcontainers for Java; Arquillian; and Gradle.
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Grafana Cloud Kubernetes Monitoring with Machine Learning Predictions
Managing cloud costs can be challenging as Kubernetes fleets scale. To address this issue, Grafana Cloud has introduced a cost-monitoring feature within Kubernetes Monitoring. In particular, Grafana Cloud’s Kubernetes Monitoring now offers ML predictions for CPU and memory usage.
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eBPF Kubernetes Security Tool Tetragon Improves Performance and Stability
Isovalent has announced the 1.0 release of Cilium Tetragon, their eBPF-based Kubernetes security observability and runtime enforcement tool. Policies and filters can be applied directly via eBPF to monitor process execution, privilege escalations, and file and network activity.
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CloudWatch Introduces Best Practice Alarm Recommendations for 19 AWS Services
AWS has recently introduced "out-of-the-box" best practice alarm recommendations for Amazon CloudWatch. This new option is designed to improve observability on the AWS platform, allowing users to easily add alarms from the console and download templates for CloudFormation, Terraform, and the CLI.
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How DoorDash Rearchitected its Cache to Improve Scalability and Performance
DoorDash rearchitected the heterogeneous caching system they were using across all of their microservices and created a common, multi-layered cache providing a generic mechanism and solving a number of issues coming from the adoption of a fragmented cache.
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Python-Like Numerical Computation Library MatX Brings Transforms as Operators and Other Features
Developed by Nvidia for its own GPUs, MatX is a C++ library that aims to bring near-native performance in numerical computing using a high-level syntax not far from those available in Python scipy or MATLAB. Its latest release brings a number of new features, including the possibility to use transforms as operators, new operators such as upsample, downsample, pwelch, and more.
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Monzo Employs Targeted Traffic Shedding against Stampeding Herd Effect from the Mobile App
Monzo developed a solution for shedding traffic in case its platform comes under intense and unexpected load that could lead to an outage. Traffic spikes can be generated by the mobile app and triggered by push notifications or other bursts in user activity. The solution can reduce the read traffic by almost 50% with 90% overall accuracy without noticeable customer impact.
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Contentsquare Uses Microservices and Apache Kafka for Notification Delivery
Contentsquare needed notification functionality for many use cases within its platform. The company created a generic solution spanning multiple services as part of its microservice architecture. During the implementation, the developers had to improve observability and overcome some scalability challenges.
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Java News Roundup: Foreign Function & Memory API, OpenJDK JEPs, Apache Tomcat CVEs
This week's Java roundup for October 9th, 2023, features news from OpenJDK, JDK 22, Apache Tomcat CVEs, Devoxx Morocco, and milestone, point and release candidates of: Spring Framework; Spring Data; Micronaut; Quarkus; Micrometer Metrics; Micrometer Tracing; Apache Kafka; Apache Camel; Eclipse Vert.x; Project Reactor; JHipster Lite; Piranha; and RefactorFirst.