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The Good and the Bad of Kubernetes Container Orchestration

Altexsoft

Kubernetes load balancer to optimize performance and improve app stability The goal of load balancing is to evenly distribute incoming traffic across machines, enabling an app to remain stable and easily handle a large number of client requests. But there are other pros worth mentioning.

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Logs and Traces: Two Houses Unalike in Dignity

Honeycomb

Staff Software Engineer at IMO, contributed this guest blog detailing the journey. At IMO, our 2019 engineering roadmap included moving application hosting from multiple data centers into AWS. The primary hosting pattern to migrate was a.NET application running on a Windows instance behind a load balancer.

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Microservices Databases Migrations

Modus Create

As software engineers, we are always working to deliver better applications for our users. The answer is pretty simple: having multiple instances of each component and load balancing them. Kubernetes can be configured to deploy a predefined number of replicas of a container and it will load balance the incoming requests.

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Apache Kafka Data Access Semantics: Consumers and Membership

Confluent

Although it is the simplest way to subscribe to and access events from Kafka, behind the scenes, Kafka consumers handle tricky distributed systems challenges like data consistency, failover and load balancing. they’re basically a short window of unavailability. This window lasts until max.poll.interval.ms

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Infrastructure Engineer: Key Duties, Skills, and Background

Altexsoft

Besides the technical side, the infrastructure engineer should have a deep understanding of an agile workflow and feel comfortable within one. Needless to say, an infrastructure engineer must be familiar with various components of on-premises and cloud infrastructures including. Broad IT background. System administration. Networking.

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Anatomy of a Cascading Failure

Honeycomb

Looking at our chart, we use BubbleUp to select queries that took a long time immediately after the stall window – letting BubbleUp do the work to compare this subset of queries against the broader set of queries that ran. Honeycomb has a tool that helps with identifying these kind of anomalies in a dataset – BubbleUp.

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Performing Automated Canary Analysis Across a Diverse Set of Cloud Platforms with Kayenta and Spinnaker

LaunchDarkly

Matt Duftler, Senior Software Engineer at Google, and Michael Graff, Senior Software Engineer at Netflix, gave a talk about automated canary deployments. “So So same thing, traffic, load balancer, distributing it to your back ends. So that’s a window of risk that we really are trying to get down.