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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.

What is Azure Resource Graph?

Quickly and effectively execute queries across multiple Azure subscriptions, allowing for an in-depth analysis of your cloud inventory through complex queries performed either programmatically or directly within the Azure portal. Assess the impact of policy implementations in large cloud environments while gaining immediate visibility into resource configurations across your cloud landscape, supported by advanced capabilities for filtering, grouping, and sorting. Utilize powerful queries to enhance your resource comprehension; for example, you can count resources based on their type or run intricate queries to locate specific resources associated with designated IP addresses by subscription. Benefit from strong querying functionalities that provide thorough insights, complemented by rich aggregation and detailed exploration of specific properties. Keep track of modifications made to resource attributes (currently in preview) and examine results meticulously. You can easily sort and paginate through the aggregated results, refine your search results effortlessly, and conveniently access all your resources in a single interface. This streamlined methodology not only improves the management of your cloud assets but also significantly boosts your overall cloud strategy, ensuring that your resources are effectively utilized and optimized for performance. Additionally, the ability to monitor and analyze these resources in real-time fosters a more adaptive and responsive approach to cloud management.

Media

Media

Integrations Supported

Flexwhere
IBM Cloud
IBM Cloud Object Storage
Kubernetes
Microsoft Azure
PowerShell
Simplifier
Slack

Integrations Supported

Flexwhere
IBM Cloud
IBM Cloud Object Storage
Kubernetes
Microsoft Azure
PowerShell
Simplifier
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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/log-analysis

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-in/features/resource-graph/

Categories and Features

Categories and Features

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

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