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Average Ratings 0 Ratings
Description
DataSet offers dynamic, searchable real-time insights that can be stored indefinitely, either through DataSet-hosted solutions or customer-managed, cost-effective S3 storage options. It enables the rapid ingestion of structured, semi-structured, and unstructured data, creating an unlimited enterprise framework for live data queries, analytics, insights, and retention without adhering to rigid data schema requirements. This technology is favored by engineering, DevOps, IT, and security teams seeking to harness the full potential of their data. With sub-second query performance driven by a patented parallel processing architecture, users can operate more efficiently and effectively to enhance business decision-making processes. It can effortlessly handle hundreds of terabytes of data without the need for rebalancing nodes, storage management, or resource reallocation. The platform scales flexibly and limitlessly, while its cloud-native architecture enhances efficiency, reducing costs and maximizing output. Users benefit from a predictable cost structure that delivers unparalleled performance, ensuring that businesses can thrive in a data-driven landscape. Additionally, the ease of use and robust capabilities of the system empower organizations to focus on innovation rather than data management challenges.
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.
API Access
Has API
API Access
Has API
Integrations
Kubernetes
Amazon S3
Amazon Web Services (AWS)
Apache Kafka
Docker
Google Cloud Search
IBM Cloud
IBM Cloud Object Storage
Slack
Integrations
Kubernetes
Amazon S3
Amazon Web Services (AWS)
Apache Kafka
Docker
Google Cloud Search
IBM Cloud
IBM Cloud Object Storage
Slack
Pricing Details
$0.99 per GB per day
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
DataSet
Founded
2011
Country
United States
Website
www.dataset.com
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/log-analysis