InfoQ Homepage Kubernetes Content on InfoQ
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DoorDash Uses Service Mesh and Cell-Based Architecture to Significantly Reduce Data Transfer Costs
In a recent move, DoorDash has significantly optimized its cloud infrastructure costs. The company faced increased cross-AZ data transfer costs when transitioning to a microservices architecture. To substantially reduce this cost, DoorDash implemented zone-aware routing with its Envoy-based service mesh, taking advantage of its Cell-Based Architecture.
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Griffin 2.0: Instacart Revamps Its Machine Learning Platform
Instacart created the next-generation platform based on experiences using the original Griffin machine-learning platform. The company wanted to improve user experience and help manage all ML workloads. The revamped platform leverages the latest developments in MLOps and introduces new capabilities for current and future applications.
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Expedia Uses WebSockets and Kafka to Query Near Real-Time Streaming Data
Expedia created a solution to support querying the clickstream data from their platform in near-real time to enable their product and engineering teams to explore live data while working on new and enhancing existing data-driven functional use cases. The team used a combination of WebSockets, Apache Kafka, and PostgreSQL to allow streaming query results continuously to users’ browsers.
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AWS Improves Kubernetes Monitoring with New Enhanced Observability for Amazon EKS
AWS has released several monitoring and observability-themed improvements. The releases include Amazon CloudWatch Container Insights with Enhanced Observability for Amazon EKS on EC2 a fully managed service that provides visibility into containerized workloads. Other releases include a new Amazon Managed Service for Prometheus collector and Amazon Managed Grafana community plugins.
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HashiCorp Terraform Cloud Operator for Kubernetes Improves Scalability and Performance
HashiCorp has released v2 of their Terraform Cloud Operator for Kubernetes. The Operator enables managing Terraform Cloud workspaces through a single Kubernetes custom resource. The release adds support for multiple customer resources, setting the watch scope to specific namespaces, improved synchronization, and newly exposed metrics.
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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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KubeCon NA 2023: Ishan Sharma on Real-Time Generative AI for Gaming Apps Running on Kubernetes
Kubernetes provides a great platform for gaming applications using generative artificial intelligence (GenAI) for both game development and gameplay. Ishan Sharma from Google spoke at the recent KubeCon CloudNativeCon NA 2023 Conference about real-time GenAI inference integrated with distributed game servers running on Kubernetes.
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ZEDEDA Launches Managed Kubernetes for the Distributed Edge
ZEDEDA, a San Jose-based developer and provider of edge computing virtualization software, announced during KubeCon NA 2023 a managed Kubernetes solution for the edge. The service is based on a partnership with SUSE and offers a centrally-managed, turn-key User edge solution built on the open source operating system Eve and Rancher’s lightweight Kubernetes distribution K3s.
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KubeCon NA 2023: Kubernetes Storage Platform to Run Real-Time Analytic Databases
Kubernetes storage platform provides a portable and flexible foundation for data management to help developers build their own data solutions. Robert Hodges spoke last week at KubeCon CloudNativeCon North America 2023 Conference on different techniques his teams developed to build their own data platform.
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AppDeveloperCon Offers Deep Dives into Developer-Focused CNCF Projects
Monday the 6th of November in Chicago Illinois, Application Developer Con was held during the co-located events at KubeCon North America 2023. The full day event focused on cloud native developers and featured talks on CNCF projects (such as OpenFGA, Dapr, TestContainers, and OpenFeature), eventing, patterns like choreography/orchestration, and ways of working in today’s cloud native environments.
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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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Goldsky’s Streaming-First Architecture for Blockchain Data with Flink, Redpanda and Kubernetes
Goldsky created a platform for the real-time processing of blockchain data. The platform allows clients to extract data from blockchains into their own databases to support product features, but without running the data pipeline infrastructure. The event-driven architecture (EDA) of Goldsky leverages Apache Flink, Redpanda, Kubernetes, and cloud provider services.
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Microsoft Announces Radius: a New Open Application Platform for the Cloud
Microsoft has recently announced Radius, a cloud-native application platform designed to facilitate collaboration between developers and platform engineers who assist them in delivering and managing cloud-native applications. This platform ensures that these applications adhere to corporate standards for cost-efficiency, operational efficiency, and security as the default approach.
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Uber Migrates 4000+ Microservices to a New Multi-Cloud Platform Running Kubernetes and Mesos
Uber moved most of its containerized microservices from µDeploy to a new multi-cloud platform named Up in preparation for migrating a considerable portion of its compute footprint to the cloud. The company spent two years working on making its many microservices portable so that they can be migrated between different compute infrastructure and container management platforms.