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What is Longhorn?

Historically, the integration of replicated storage within Kubernetes clusters has presented notable difficulties for ITOps and DevOps teams, which has resulted in many on-premises Kubernetes setups lacking persistent storage support. Furthermore, external storage alternatives tend to be expensive and often lack the desired portability. In contrast, Longhorn emerges as a straightforward, easily deployable, and completely open-source choice for cloud-native persistent block storage, alleviating the financial strain associated with proprietary solutions. Among its features are built-in incremental snapshots and backup capabilities that safeguard volume data both internally and externally to the Kubernetes environment. Longhorn simplifies the scheduling of backups for persistent storage volumes through its user-friendly management interface, making it accessible to a broader range of users. Unlike conventional external replication approaches, which may require days to recover from a disk failure by re-replicating the entire dataset, Longhorn drastically cuts down on recovery time, enhancing cluster performance and reducing failure risks during vital periods. As a result, organizations can attain more dependable and efficient storage solutions tailored to their Kubernetes deployments, ultimately driving better operational outcomes.

What is IBM Log Analysis?

Leveraging log services is crucial, especially when teams seek insights at the cluster level. Boost operational efficiency and uncover deeper insights with the IBM® Log Analysis service, known for its seamless compatibility with various cloud-native runtimes and environments. This service provides an array of features, including log collection, log tailing, and fast log searches tailored to your needs. Users can take advantage of natural language queries and enjoy a search retention period that lasts up to 30 days. Moreover, you can implement cluster-level logging for Kubernetes clusters, granting access to a diverse range of logs such as worker, pod, application, and network logs. This information can be monitored from multiple sources, enabling the centralized management of Ubuntu logs on the IBM Cloud®. DevOps teams are empowered to archive logs directly from an IBM Log Analysis instance into a bucket within an IBM Cloud Object Storage instance, streamlining data handling. By consolidating all log data in one centralized hub, you can ensure compatibility with services such as Pager Duty, Slack, webhooks, and more. With support for over 30 integrations and ingestion sources, along with the benefits of natural language queries and a pay-per-GB pricing model, this holistic approach not only simplifies the management of logs but also enables teams to quickly derive actionable insights. In this way, organizations can enhance their operational capabilities and respond more effectively to system events.

Media

Media

Integrations Supported

Kubernetes
IBM Cloud
IBM Cloud Object Storage
Slack

Integrations Supported

Kubernetes
IBM Cloud
IBM Cloud Object Storage
Slack

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Longhorn

Date Founded

2019

Company Location

United States

Company Website

longhorn.io

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/log-analysis

Categories and Features

Categories and Features

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