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What is XPLG PortX?

In mere minutes, you can leverage AI and machine learning tools to automate the entire process of collecting, parsing, and forwarding log data. Among these solutions, PortX by XPLG emerges as a top choice for handling and directing log data streams, drastically reducing the need for manual scripting and labor-intensive efforts by up to 90%. This cutting-edge tool not only slashes costs but also alleviates the reliance on Regular Expressions, Grok processing, and ongoing maintenance. With its impressive performance, load balancing functions, and robust security features, PortX adeptly simplifies the management of high-volume data streams while decreasing resource usage. Users can seamlessly route and forward log data to a variety of services while skillfully filtering out crucial events and archiving the remainder as necessary. The incorporation of intelligent filters allows for efficient data volume reduction, facilitating tailored data management via a visual log parser and log viewer. Additionally, PortX grants users extensive control over their data sources through a straightforward interface, making it easy to set permissions, filter events, and customize log fields to suit varying requirements. This holistic approach not only enhances the efficiency of log data management but also ensures that it is specifically adjusted to cater to the unique needs of each user. Ultimately, PortX stands out as an indispensable tool for organizations aiming to optimize their log data processes.

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

Active Directory
IBM Cloud
IBM Cloud Object Storage
Kubernetes
Slack

Integrations Supported

Active Directory
IBM Cloud
IBM Cloud Object Storage
Kubernetes
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

XPLG

Date Founded

2005

Company Location

United States

Company Website

www.xplg.com/port-x-log-parser/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/log-analysis

Categories and Features

Log Management

Archiving
Audit Trails
Compliance Reporting
Consolidation
Data Visualization
Event Logs
Network Logs
Remediation
Syslogs
Thresholds
Web Logs

Categories and Features

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