Kubernetes Insights
Stay up-to-date with the latest news, tips, and trends in the world of Kubernetes, the leading container orchestration platform.
Leveraging Kernel Module Management Operator for hardware accelerator enablement
Being a cluster administrator can come with its own challenges, especially with environments that carry out-of-tree (OOT) cluster modules. Upgrading device plug-ins or different kernel versions can be prone to errors when doing so one-by-one.
Red Hat transforms application connectivity for the hybrid cloud with Red Hat Connectivity Link
We are pleased to introduce the developer preview of Red Hat Connectivity Link, a hybrid multicloud application connectivity solution that provides a cohesive platform for enhanced application performance, global scalability and robust security capabilities through simplified deployment and management processes.
Monitoring vs. Observability: Unveiling the Key Differences
Monitoring and observability are often used interchangeably, but they are not exactly the same. This article explores the key distinctions between the two, highlighting how observability provides deeper insights and greater flexibility in modern cloud-native environments.
Thwarting Cloud-Native Exploits: How the CrowdStrike Falcon Operator Secures Red Hat OpenShift
As Kubernetes becomes increasingly integral to production environments, cyber adversaries are likewise becoming more skilled in cloud-native exploitation. The CrowdStrike Falcon platform and its Kubernetes operator offer comprehensive protection.
Announcing additional Extended Update Support for OpenShift 4.14 and beyond!
Red Hat is announcing an optional additional 12-month EUS term for OpenShift 4.14 and subsequent even-numbered Red Hat OpenShift releases in the 4.x series. This takes the full lifecycle available for these EUS releases of OpenShift to three (3) years.
Boost your cluster operations with Deployment Validation and Insights Advisor for Workloads
Hey admins, are app developers crashing your clusters? Do they cost you additional operations toil while fixing performance and scalability issues? There's a new and exciting way that Red Hat Insights for Red Hat OpenShift can help you address these issues.
Navigating the streaming data landscape with Apache Kafka and Red Hat
In application development, you need efficient and reliable data streaming tools. Developers want seamless data flow, real-time processing, and scalability in their applications.
Unlock your cloud and OpenShift costs with Red Hat Insights
Red Hat Insights adds cost management capabilities for ARM, IBM Z and POWER, helping customers gain visibility and control over their cloud and OpenShift spending.
Sovereign solutions for sensitive workloads: Elastic on Google Distributed Cloud Hosted
Elastic and Google Cloud have partnered to offer a comprehensive solutions portfolio for sovereign cloud use cases, with Google Distributed Cloud Hosted (GDCH) providing an air-gapped private cloud environment for the most critical workloads.
A Blueprint for Cloud Success with HashiCorp at Google Cloud Next
HashiCorp's infrastructure and security news and developments from Google Cloud Next, including scaling infrastructure as code, fighting secrets sprawl, and more.
Terraform 1.8 Extends Capabilities with Provider-Defined Functions
HashiCorp Terraform 1.8 introduces two major features: provider-defined functions for extending the language, and refactoring across resource types for better flexibility.
Terraform 1.8 Adds Provider Functions for AWS, Google Cloud, and Kubernetes
HashiCorp has announced the general availability of provider-defined functions in the AWS, Google Cloud, and Kubernetes providers, enabling the Terraform community to build custom functions and extend the capabilities of Terraform.
Kubernetes Secrets Management with HCP Vault Secrets
Learn how to sync secrets from HCP Vault Secrets to Kubernetes with Vault Secrets Operator.
Unlock PostgreSQL's Vertical Scaling Power with CloudNativePG
Discover the surprising potential of PostgreSQL's vertical scalability through optimized CPU, RAM, and storage resources. Explore the strategies within the CloudNativePG stack, including separate volumes for data and transaction logs, temporary tablespaces, and I/O segregation for tables and indexes.
