Remove Analysis Remove Processing Remove Retail Remove Storage
article thumbnail

Conducting log analysis with an observability platform and full data context

Dynatrace

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations. Grail enables 100% precision insights into all stored data.

Analytics 187
article thumbnail

Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

Customers experience delayed time to value from the data they’re ingesting as they must take additional steps to make the data useful for troubleshooting and analysis, such as re-indexing. Customers find themselves confined to models that limit their ability to leverage the volume of data they possess for practical analysis.

Retail 237
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. This is also known as root-cause analysis. Peak performance analysis. Indexing also requires an educated guess as to which data is needed for future analysis.

Analytics 214
article thumbnail

Causal AI use cases for modern observability that can transform any business

Dynatrace

Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases.

article thumbnail

What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. This is also known as root-cause analysis. Peak performance analysis. Indexing also requires an educated guess as to which data is needed for future analysis.

Analytics 181
article thumbnail

The value of business events: How IT can increase business agility

Dynatrace

These include the following highlights: Long-term cost-effective storage to support seasonal trending and forecasting. Instant indexless storage to support unanticipated retrospective questions. We want OneAgent to capture the data as a business event for reporting and analysis. Use case 1: real-time business intelligence.

Analytics 227
article thumbnail

Kubernetes in the wild report 2023

Dynatrace

Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. The need for runtime security observability is growing to automate vulnerability impact analysis. This report reflects Kubernetes adoption statistics based on the analysis of 4.1