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NetOps for Application Developers: Understanding the Importance of Network Operations in Modern Development

Kentik

As these applications scale, and engineering for reliability comes into the forefront, DevOps engineers begin to rely on networking concepts like load balancing, auto-scaling, traffic management, and network security. Following are a few key ways NetOps and DevOps can collaborate to make more reliable systems.

Network 64
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Software Engineering Daily: Feature Flags with Edith Harbaugh

LaunchDarkly

In episode 729 of Software Engineering Daily, Jeff Meyerson talks with our own Edith Harbaugh, CEO and Co-founder of LaunchDarkly, about feature flagging. This episode was originally published on December 11, 2018 on the Software Engineering Daily site. Jeff Meyerson (JM): Releasing software has inherent risk.

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Netflix OSS and Spring Boot?—?Coming Full Circle

Netflix Tech

Much of Netflix’s backend and mid-tier applications are built using Java, and as part of this effort Netflix engineering built several cloud infrastructure libraries and systems?—? Ribbon for load balancing, Eureka for service discovery, and Hystrix for fault tolerance. such as the upcoming Spring Cloud Load Balancer?—?we

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Sponsored Post: Etleap, PerfOps, InMemory.Net, Triplebyte, Stream, Scalyr

High Scalability

Triplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. Who's Hiring?

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Understanding Microservices Architecture with Spring Boot

InnovationM

Advantages: Scalability: Services can be scaled independently according to their specific load and performance requirements. This isolation improves overall system reliability and availability. Configuration can be stored in a variety of sources, such as Git repositories, file systems, or databases.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

Scalability and performance – The EMR Serverless integration automatically scales the compute resources up or down based on your workload’s demands, making sure you always have the necessary processing power to handle your big data tasks. These system-generated tags simplify cost allocation and attribution of Amazon EMR resources.

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Curbing Connection Churn in Zuul

Netflix Tech

We had discussed subsetting many times over the years, but there was concern about disrupting load balancing with the algorithms available. The quirk in any load balancing algorithm from Google is that they do their load balancing centrally. There is effectively no churn of connections, even at peak traffic.