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Description

Utilizing log services is essential, yet your teams desire insights at the cluster level. Enhance efficiency and obtain more profound insights with IBM® Log Analysis service, which offers seamless integration with numerous cloud-native runtimes and environments. Experience features such as log collection, log tailing, and rapid log searches. Benefit from natural language queries and a search retention period of up to 30 days. You can set up cluster-level logging for Kubernetes clusters, providing access to logs for various types, including worker, pod, application, and network logs. This data can be monitored from diverse sources, allowing for centralized management of Ubuntu logs on IBM Cloud®. DevOps teams have the capability to archive logs from an IBM Log Analysis instance directly into a bucket within an IBM Cloud Object Storage instance. By aggregating all log data in one central location, you can anticipate compatibility with services like Pager Duty, Slack, webhooks, and many others. The service supports over 30 integrations and ingestion sources, while also offering features like natural language queries and a pay-per-GB pricing model. This comprehensive approach not only simplifies log management but also empowers teams to gain actionable insights quickly.

Description

Red Hat Advanced Cluster Management for Kubernetes allows users to oversee clusters and applications through a centralized interface, complete with integrated security policies. By enhancing the capabilities of Red Hat OpenShift, it facilitates the deployment of applications, the management of multiple clusters, and the implementation of policies across numerous clusters at scale. This solution guarantees compliance, tracks usage, and maintains uniformity across deployments. Included with Red Hat OpenShift Platform Plus, it provides an extensive array of powerful tools designed to secure, protect, and manage applications effectively. Users can operate from any environment where Red Hat OpenShift is available and can manage any Kubernetes cluster within their ecosystem. The self-service provisioning feature accelerates application development pipelines, enabling swift deployment of both legacy and cloud-native applications across various distributed clusters. Additionally, self-service cluster deployment empowers IT departments by automating the application delivery process, allowing them to focus on higher-level strategic initiatives. As a result, organizations can achieve greater efficiency and agility in their IT operations.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

IBM Cloud
Kubernetes
Amazon Web Services (AWS)
Ansible
IBM Cloud Object Storage
Microsoft Azure
Red Hat OpenShift
Slack

Integrations

IBM Cloud
Kubernetes
Amazon Web Services (AWS)
Ansible
IBM Cloud Object Storage
Microsoft Azure
Red Hat OpenShift
Slack

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/log-analysis

Vendor Details

Company Name

Red Hat

Founded

1993

Country

United States

Website

www.redhat.com/en/technologies/management/advanced-cluster-management

Product Features

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