Maintaining control over Kubernetes clusters is essential for enforcing policies and ensuring compliance. This article by Yodamad explores how Kyverno, a Kubernetes-native policy engine, can help you manage and secure your clusters effectively. Learn about the features, benefits, and best practices for using Kyverno to automate policy enforcement and maintain a well-governed Kubernetes environment.
https://yodamad.hashnode.dev/keep-your-cluster-under-control-with-kyverno
https://yodamad.hashnode.dev/keep-your-cluster-under-control-with-kyverno
Yodamad's blog
Keep your cluster under control with Kyverno
Recently, I wrote about Falco in order to have live supervision of potential malicious behaviors in your Kubernetes cluster. This is interesting when running a cluster but it could be interesting also to check and/or apply some rules on your cluster ...
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Explore the top tools for Kubernetes development that streamline workflows, enhance productivity, and simplify container orchestration. These essential tools are designed to support developers in creating, testing, and managing Kubernetes applications effectively.
https://semaphoreci.com/blog/kubernetes-development-tools
https://semaphoreci.com/blog/kubernetes-development-tools
Semaphore
Simplifying Kubernetes Development: Your Go-To Tools Guide - Semaphore
The article compares six Kubernetes local development tools, aiding in workflow streamlining, faster iterations, and realistic environments.
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Achieving high availability and reliability in database systems is crucial for any online service. This article delves into the strategies and methodologies employed to ensure 99.999% uptime while performing zero-downtime data migrations. It highlights the innovative approaches and technologies that facilitate seamless transitions and uninterrupted service for users.
https://stripe.com/blog/how-stripes-document-databases-supported-99.999-uptime-with-zero-downtime-data-migrations
https://stripe.com/blog/how-stripes-document-databases-supported-99.999-uptime-with-zero-downtime-data-migrations
Stripe
How Stripe’s document databases supported 99.999% uptime with zero-downtime data migrations
In this blog post we’ll share an overview of Stripe’s database infrastructure and discuss the design and application of the Data Movement Platform.
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kubenav is the navigator for your Kubernetes clusters right in your pocket.
https://github.com/kubenav/kubenav
https://github.com/kubenav/kubenav
GitHub
GitHub - kubenav/kubenav: kubenav is the navigator for your Kubernetes clusters right in your pocket.
kubenav is the navigator for your Kubernetes clusters right in your pocket. - kubenav/kubenav
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The missing glue to put together large Kubernetes deployments, composed of multiple smaller parts (Helm/Kustomize/...) in a manageable and unified way.
https://github.com/kluctl/kluctl
https://github.com/kluctl/kluctl
GitHub
GitHub - kluctl/kluctl: The missing glue to put together large Kubernetes deployments, composed of multiple smaller parts (Hel…
The missing glue to put together large Kubernetes deployments, composed of multiple smaller parts (Helm/Kustomize/...) in a manageable and unified way. - kluctl/kluctl
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Explore the diverse landscape of server architectures in this insightful article. Learn about the various configurations, their advantages, and how to choose the best setup for your specific needs. Whether you are dealing with on-premises servers, cloud-based solutions, or hybrid environments, this guide provides valuable information to help you make informed decisions.
https://mattweidner.com/2024/06/04/server-architectures.html
https://mattweidner.com/2024/06/04/server-architectures.html
Selecting the right orchestrator for a multi-tenant code execution system is a critical decision that can impact performance, scalability, and security. This article provides an in-depth analysis of various orchestrator options, evaluating their strengths and weaknesses to help you make an informed choice for your system.
https://dev.to/oo00oo00oo00/choosing-an-orchestrator-for-multi-tenant-code-execution-system-pmm
https://dev.to/oo00oo00oo00/choosing-an-orchestrator-for-multi-tenant-code-execution-system-pmm
DEV Community
Choosing an orchestrator for multi-tenant code execution system
Intro Here, at my current company - Tripleten, we have multiple code execution systems...
kpexec is a kubernetes cli that runs commands in a container with high privileges.
https://github.com/ssup2/kpexec
https://github.com/ssup2/kpexec
GitHub
GitHub - ssup2/kpexec: kpexec is a kubernetes cli that runs commands in a container with high privileges.
kpexec is a kubernetes cli that runs commands in a container with high privileges. - ssup2/kpexec
Enabling Kubernetes to make pod placement decisions with platform intelligence.
https://github.com/intel/platform-aware-scheduling
https://github.com/intel/platform-aware-scheduling
GitHub
GitHub - intel/platform-aware-scheduling: Enabling Kubernetes to make pod placement decisions with platform intelligence.
Enabling Kubernetes to make pod placement decisions with platform intelligence. - intel/platform-aware-scheduling
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Learn how integrating KEDA with Kafka can significantly enhance performance, achieving up to a 62.15% improvement during peak loads. This article delves into the methods and benefits of combining these powerful technologies to optimize your system's efficiency and reliability.
https://kedify.io/resources/blog/keda-kafka-improve-performance-by-62-15-at-peak-loads
https://kedify.io/resources/blog/keda-kafka-improve-performance-by-62-15-at-peak-loads
Kedify
KEDA + Kafka: Improve performance by 62.15% at peak loads | Kedify
Cut cloud costs by 20%+, auto‑scale any workloads including HTTP, gRPC & ML workloads, and gain centralized multi‑cluster control and insights.
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Discover the potential pitfalls of using Helm in your Kubernetes deployments. This article highlights five key shortcomings of Helm, providing valuable insights to help you navigate and mitigate these challenges effectively. Enhance your deployment strategies by understanding the limitations and best practices associated with this popular tool.
https://glasskube.eu/en/r/knowledge/5-helm-shortcomings/
https://glasskube.eu/en/r/knowledge/5-helm-shortcomings/
glasskube.eu
5 shortcomings of Helm | Glasskube
Having worked with Helm for multiple years these 5 shortcomings always bugged my mind. From CRDs updates to multi namespace deployments.
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Test generation for Developers. Generate tests and stubs for your application that actually work!
https://github.com/keploy/keploy
https://github.com/keploy/keploy
GitHub
GitHub - keploy/keploy: API, Integration, E2E Testing Agent for Developers that actually work. Generate tests, mocks/stubs for…
API, Integration, E2E Testing Agent for Developers that actually work. Generate tests, mocks/stubs for your APIs! - keploy/keploy
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Understanding how the Container Storage Interface (CSI) works is crucial for managing storage in containerized environments. This article by Sklar provides an in-depth explanation of CSI, detailing how it integrates with container orchestrators like Kubernetes to provision and manage storage resources. Learn about the architecture, benefits, and implementation of CSI to enhance your container storage strategies.
https://sklar.rocks/how-container-storage-interface-works/
https://sklar.rocks/how-container-storage-interface-works/
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Dive into the world of A/B testing with Linkerd and Flagger using dynamic routing. This article explores how these tools can help you implement efficient and effective A/B testing strategies for your applications, ensuring optimal performance and user experience.
https://www.infracloud.io/blogs/ab-testing-with-linkerd-flagger-using-dynamic-routing/
https://www.infracloud.io/blogs/ab-testing-with-linkerd-flagger-using-dynamic-routing/
InfraCloud
A/B Testing with Linkerd and Flagger using Dynamic Routing
Learn what is A/B testing, its importance, and how to perform A/B testing with Linkerd and Flagger using dynamic routing on a microservice-based application.
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Learn how to optimize Kubernetes resource usage by integrating KEDA to put resources to sleep. This article explains the benefits and techniques of using KEDA for managing idle resources, helping you save costs and improve efficiency in your Kubernetes environment.
https://www.perfectscale.io/blog/putting-k8s-resources-to-sleep-with-keda
https://www.perfectscale.io/blog/putting-k8s-resources-to-sleep-with-keda
www.perfectscale.io
Putting K8s Resources to Sleep with KEDA
Learn how to use KEDA with a Cron Scaler for time-based scheduling, Custom Metrics API Scaler, and Network Scaler to down-scale your Kubernetes workloads to 0.
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Terravision creates Professional Cloud Architecture Diagrams from your Terraform code automatically. Supports AWS, Google and Azure.
https://github.com/patrickchugh/terravision
https://github.com/patrickchugh/terravision
GitHub
GitHub - patrickchugh/terravision: Terravision creates Professional Cloud Architecture Diagrams from your Terraform code automatically.…
Terravision creates Professional Cloud Architecture Diagrams from your Terraform code automatically. Supports AWS, Google and Azure. - patrickchugh/terravision
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Identify the blast radius and risks for Terraform changes in real time
https://github.com/overmindtech/cli
https://github.com/overmindtech/cli
GitHub
GitHub - overmindtech/cli: Identify the blast radius and risks for Terraform changes in real time
Identify the blast radius and risks for Terraform changes in real time - overmindtech/cli
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