Kubernetes update makes platform easier to scale up
Kubernetes Penelope introduces native dynamic resource allocation, allowing easier scaling without cluster restarts or third-party plugins.
Gitpod Flex, Cloud Development After Kubernetes
Gitpod's departure from Kubernetes stems from its inadequacy for managing complex, interactive development environments compared to production workloads.
Kubernetes update makes platform easier to scale up
Kubernetes Penelope introduces native dynamic resource allocation, allowing easier scaling without cluster restarts or third-party plugins.
Gitpod Flex, Cloud Development After Kubernetes
Gitpod's departure from Kubernetes stems from its inadequacy for managing complex, interactive development environments compared to production workloads.
Best of 2024: Can AI Replace DevOps Engineers? - DevOps.com
AI can significantly enhance DevOps by automating repetitive tasks, but it does not replace the need for human expertise that involves creativity and communication.
How generative AI could aid Kubernetes operations
Narrow AI models may improve Kubernetes issue diagnosis in enterprise IT, addressing the challenge of complexity and inaccuracies associated with broader AI applications.
Komodor simplifies Kubernetes management with its new KlaudiaAI release - Amazic
Komodor simplifies Kubernetes management for both experienced and novice users with innovative features like KlaudiaAI.
Curating a Developer Experience - A Hands-on Guide for Platform Engineers
Developer experience (DevEx) is distinct from developer productivity, focusing instead on user adoption of tools as a crucial factor.
The evolving significance of frameworks like SPACE indicates a nuanced view of the relationship between DevEx and productivity.
Spectro Cloud nets $75M to help companies manage their Kubernetes installations | TechCrunch
Kubernetes is widely adopted but remains complex to manage, leading to the growth of specialized vendors like Spectro Cloud.
Dynamic Generation of Airflow DAGs for Multiple Environments | HackerNoon
Deploying a single Airflow web server for all environments mitigated costs and simplified maintenance but created challenges for managing multiple environments.
Best of 2024: Can AI Replace DevOps Engineers? - DevOps.com
AI can significantly enhance DevOps by automating repetitive tasks, but it does not replace the need for human expertise that involves creativity and communication.
How generative AI could aid Kubernetes operations
Narrow AI models may improve Kubernetes issue diagnosis in enterprise IT, addressing the challenge of complexity and inaccuracies associated with broader AI applications.
Komodor simplifies Kubernetes management with its new KlaudiaAI release - Amazic
Komodor simplifies Kubernetes management for both experienced and novice users with innovative features like KlaudiaAI.
Curating a Developer Experience - A Hands-on Guide for Platform Engineers
Developer experience (DevEx) is distinct from developer productivity, focusing instead on user adoption of tools as a crucial factor.
The evolving significance of frameworks like SPACE indicates a nuanced view of the relationship between DevEx and productivity.
Spectro Cloud nets $75M to help companies manage their Kubernetes installations | TechCrunch
Kubernetes is widely adopted but remains complex to manage, leading to the growth of specialized vendors like Spectro Cloud.
Dynamic Generation of Airflow DAGs for Multiple Environments | HackerNoon
Deploying a single Airflow web server for all environments mitigated costs and simplified maintenance but created challenges for managing multiple environments.
Introducing one-step observability for Kubernetes to deliver automatic instrumentation and insights
New Relic launches one-step observability for Kubernetes, enhancing monitoring efficiency and developer productivity through automatic application performance monitoring integration.
Splunk Tightens Integration Across Observability Platforms - DevOps.com
Splunk enhances its observability platforms with improved UI, integration and capabilities for better collaboration within IT teams.
Grafana brings great Kubernetes observability with the added bonus of cost optimization
Grafana Labs provides tools to simplify Kubernetes observability while supporting customization and integrations.
Grafana brings great Kubernetes observability with the added bonus of cost optimization - Amazic
Grafana Labs simplifies Kubernetes observability through easy integration, custom dashboards, and support for open telemetry.
Introducing one-step observability for Kubernetes to deliver automatic instrumentation and insights
New Relic launches one-step observability for Kubernetes, enhancing monitoring efficiency and developer productivity through automatic application performance monitoring integration.
Splunk Tightens Integration Across Observability Platforms - DevOps.com
Splunk enhances its observability platforms with improved UI, integration and capabilities for better collaboration within IT teams.
Grafana brings great Kubernetes observability with the added bonus of cost optimization
Grafana Labs provides tools to simplify Kubernetes observability while supporting customization and integrations.
Grafana brings great Kubernetes observability with the added bonus of cost optimization - Amazic
Grafana Labs simplifies Kubernetes observability through easy integration, custom dashboards, and support for open telemetry.
8 Platform engineering principles that will drive Kubernetes' future
Kubernetes is reshaping deployment and management processes for cloud applications, greatly influenced by GitOps and infrastructure automation principles.
OpenAI blames its massive ChatGPT outage on a 'new telemetry service' | TechCrunch
OpenAI's recent outage was caused by a misconfigured telemetry service that overwhelmed Kubernetes operations, affecting multiple applications.
The incident highlights the complexities of cloud services management and the challenges posed by system interdependencies.
How to use microservices architectures in Kubernetes to improve developer experience - Amazic
Kubernetes is essential for managing microservices, helping enterprises achieve scalability and flexibility in software applications.
Linkerd and the changing scene of Kubernetes service mesh - Amazic
Linkerd enhances microservices architectures by simplifying communication, security, and observability within Kubernetes, addressing the complexities that come with cloud-native applications.
Linkerd releases v2.17 of its service mesh with new features
Linkerd 2.17 enhances egress traffic visibility and management, introduces rate limiting for microservices protection, and includes federated services for improved scalability.
Kubernetes Go-live checklist for your Microservices
Successful production deployment of Kubernetes microservices requires detailed resource planning and performance testing for stability and scalability.
Kubernetes Go-live checklist for your Microservices
Effective resource management is essential for Kubernetes microservices to maintain stability and performance during production deployment.
WSO2 API managers manage AI APIs
WSO2 API Microgateway has been enhanced for better scalability, governance, security, and reliability.
The new version introduces gRPC API support for improved microservices integration.
New HTTP traffic filters provide routing flexibility, enhancing developer capabilities.
How to use microservices architectures in Kubernetes to improve developer experience - Amazic
Kubernetes is essential for managing microservices, helping enterprises achieve scalability and flexibility in software applications.
Linkerd and the changing scene of Kubernetes service mesh - Amazic
Linkerd enhances microservices architectures by simplifying communication, security, and observability within Kubernetes, addressing the complexities that come with cloud-native applications.
Linkerd releases v2.17 of its service mesh with new features
Linkerd 2.17 enhances egress traffic visibility and management, introduces rate limiting for microservices protection, and includes federated services for improved scalability.
Kubernetes Go-live checklist for your Microservices
Successful production deployment of Kubernetes microservices requires detailed resource planning and performance testing for stability and scalability.
Kubernetes Go-live checklist for your Microservices
Effective resource management is essential for Kubernetes microservices to maintain stability and performance during production deployment.
WSO2 API managers manage AI APIs
WSO2 API Microgateway has been enhanced for better scalability, governance, security, and reliability.
The new version introduces gRPC API support for improved microservices integration.
New HTTP traffic filters provide routing flexibility, enhancing developer capabilities.
Karpenter 1.0 enhances Kubernetes auto-scaling by optimizing resource management and providing stable APIs, marking a significant upgrade from beta status.
8 Platform engineering principles that will drive Kubernetes' future - Amazic
Kubernetes reshapes application deployment and management, with GitOps and automation as key engineering principles influencing its future.
Resilience and Chaos Engineering in a Kubernetes World
Chaos engineering is crucial for building resilience in Kubernetes environments, addressing unique challenges that arise.
Managing Multi-Cloud Infrastructure with Crossplane: A Hands-On Example with Azure
Crossplane simplifies multi-cloud management by extending Kubernetes for Infrastructure as Code.
Red Hat's new OpenShift delivers AI, edge and security enhancements
Red Hat's OpenShift 4.17 enhances hybrid cloud innovation with improved security and virtualization while heavily integrating AI capabilities.
KubeCon + CloudNativeCon NA 2024: Yahoo's Kubernetes Journey On-Prem to Multi-Cloud
Yahoo's Kubernetes transition was driven by a need for scalability, flexibility, and efficiency in cloud infrastructure management.
Karpenter 1.0 enhances Kubernetes auto-scaling by optimizing resource management and providing stable APIs, marking a significant upgrade from beta status.
8 Platform engineering principles that will drive Kubernetes' future - Amazic
Kubernetes reshapes application deployment and management, with GitOps and automation as key engineering principles influencing its future.
Resilience and Chaos Engineering in a Kubernetes World
Chaos engineering is crucial for building resilience in Kubernetes environments, addressing unique challenges that arise.
Hightower urges a reevaluation of software development's essence amidst AI's rise, focusing on problem-solving over mere coding.
Platform Engineering: Overcoming Data Management Challenges
Platform engineering enhances application development by reducing infrastructure management complexities, allowing developers to concentrate on business value.
Optimizing Java Applications on Kubernetes: Beyond the Basics
Java is extensively used within Microsoft across various products and services, emphasizing its importance in modern software infrastructure.
From Local to Production: A Modern Developer's Journey Towards Kubernetes
Containers simplify application deployment by bundling code and dependencies, providing portability and scalability.
JetBrains 2024.3 release elevates the developer experience
JetBrains 2024.3 enhances IDEs with better debugging, AI integration, and refined code analysis, boosting developer efficiency.
AI can allow new kind of software developer
Hightower urges a reevaluation of software development's essence amidst AI's rise, focusing on problem-solving over mere coding.
Platform Engineering: Overcoming Data Management Challenges
Platform engineering enhances application development by reducing infrastructure management complexities, allowing developers to concentrate on business value.
Optimizing Java Applications on Kubernetes: Beyond the Basics
Java is extensively used within Microsoft across various products and services, emphasizing its importance in modern software infrastructure.
From Local to Production: A Modern Developer's Journey Towards Kubernetes
Containers simplify application deployment by bundling code and dependencies, providing portability and scalability.
JetBrains 2024.3 release elevates the developer experience
JetBrains 2024.3 enhances IDEs with better debugging, AI integration, and refined code analysis, boosting developer efficiency.
JetBrains users struggle with transition to new UI
The new IntelliJ IDEA 2024.3 enhances development performance, introduces optional K2 mode, but users express dissatisfaction with the new interfaces.
Akamai makes deployment of cloud-native apps automatic
Akamai's App Platform streamlines the deployment and management of cloud-native applications, enabling near-instant scalability and reducing deployment times drastically.
WebAssembly has potential applications beyond the browser, particularly in server environments, but it is unlikely to replace existing container solutions like Docker.
How to Optimize Kubernetes for Large Docker Images | HackerNoon
The cluster upgrade led to excessive docker image pulls, causing high disk utilization and pod startup failures.
Can Wasm replace containers?
WebAssembly has potential applications beyond the browser, particularly in server environments, but it is unlikely to replace existing container solutions like Docker.
How to Optimize Kubernetes for Large Docker Images | HackerNoon
The cluster upgrade led to excessive docker image pulls, causing high disk utilization and pod startup failures.
Running the OpenTelemetry community demo app in New Relic
New Relic's enhancements to the OpenTelemetry demo app allow for improved monitoring and troubleshooting via feature flags and configuration utilities.
When things go sideways: Troubleshooting the OpenTelemetry Operator
The OpenTelemetry Operator simplifies OpenTelemetry management in Kubernetes with automated deployment and configuration.
Running the OpenTelemetry community demo app in New Relic
New Relic's enhancements to the OpenTelemetry demo app allow for improved monitoring and troubleshooting via feature flags and configuration utilities.
When things go sideways: Troubleshooting the OpenTelemetry Operator
The OpenTelemetry Operator simplifies OpenTelemetry management in Kubernetes with automated deployment and configuration.
Edera is building a better Kubernetes and AI security solution from the ground up | TechCrunch
Edera aims to enhance security for Kubernetes containers and AI workloads with a new hypervisor, addressing longstanding challenges in multi-tenancy.
JFrog Integrates Runtime Security for Enhanced DevSecOps Platform
JFrog Runtime introduces real-time vulnerability detection for developers and DevSecOps teams, enhancing security in Kubernetes clusters and cloud-native applications.
Edera is building a better Kubernetes and AI security solution from the ground up | TechCrunch
Edera aims to enhance security for Kubernetes containers and AI workloads with a new hypervisor, addressing longstanding challenges in multi-tenancy.
JFrog Integrates Runtime Security for Enhanced DevSecOps Platform
JFrog Runtime introduces real-time vulnerability detection for developers and DevSecOps teams, enhancing security in Kubernetes clusters and cloud-native applications.
KEDA's HTTP Add-on enables efficient autoscaling for Kubernetes based on incoming traffic, improving resource allocation and reducing costs.
Deezer Optimizes Kubernetes Autoscaling with Custom Metrics
Deezer enhances Kubernetes autoscaling accuracy by using custom metrics, particularly Event Loop Utilization, instead of default CPU and memory metrics.
HTTP request-based autoscaling with Keda
KEDA allows applications to scale automatically based on HTTP traffic, optimizing resource usage and costs.
HTTP request-based autoscaling with Keda
KEDA's HTTP Add-on enables efficient autoscaling for Kubernetes based on incoming traffic, improving resource allocation and reducing costs.
Deezer Optimizes Kubernetes Autoscaling with Custom Metrics
Deezer enhances Kubernetes autoscaling accuracy by using custom metrics, particularly Event Loop Utilization, instead of default CPU and memory metrics.
HTTP request-based autoscaling with Keda
KEDA allows applications to scale automatically based on HTTP traffic, optimizing resource usage and costs.
Fetching Large Logs from Loki in Kubernetes | HackerNoon
Efficiently extracted extensive application logs from Loki in Kubernetes by utilizing LogCli and strategic filtering without changing existing configurations.
Enhancing Kubernetes Resource Management with SharedInformers | HackerNoon
Informers in Kubernetes enhance efficiency by caching resources and providing real-time updates without the overhead of frequently querying the API server.
Feature Gates in Client-Go: Enhancing Control and Simplifying Feature Adoption in Kubernetes
Kubernetes' integration of feature gates into client-go allows for improved control and management of features, addressing inconsistencies through a centralized mechanism.
5 Reasons Why You Should Be Using Red Hat's OpenShift in ML Applications
OpenShift is a powerful platform that enhances AI and ML workloads by providing portability, scalability, and simplified deployment.
The Ultimate Guide For Kubernetes Autoscaling: HPA vs. VPA vs. Keda vs. CA vs. Karpenter
Kubernetes allows dynamic scaling of applications based on real-time load or demand, optimizing resource usage and performance.
Kubernetes v1.31 Released: Enhanced Security, Stability, and AI/ML Support
Kubernetes v1.31 introduces significant enhancements for security, reliability, and observability, marking its first release post-10th anniversary.