Remove Efficiency Remove Games Remove Storage
article thumbnail

New continuous compliance requirements drive the need to converge observability and security

Dynatrace

Leverage AI for proactive protection: AI and contextual analytics are game changers, automating the detection, prevention, and response to threats in real time. In dynamic and distributed cloud environments, the process of identifying incidents and understanding the material impact is beyond human ability to manage efficiently.

Analytics 289
article thumbnail

Distributed tracing with Dynatrace just got even better

Dynatrace

Say hello to advanced trace an alytics and new data storage and capture options. These game-changing features elevate your data interactions, opening up vast possibilities for advanced queries and efficient data management tailored to your needs. Use these queries to start more complex data exploration with Notebooks.

Games 165
Insiders

Sign Up for our Newsletter

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

article thumbnail

Top PostgreSQL 17 New Features

Scalegrid

Incremental Backups: Speeds up recovery and makes data management more efficient for active databases. Performance Optimizations PostgreSQL 17 significantly improves performance, query handling, and database management, making it more efficient for high-demand systems. Start your free trial today!

Speed 130
article thumbnail

Cutting Big Data Costs: Effective Data Processing With Apache Spark

DZone

In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. Apache Spark , a robust open-source data processing framework, has emerged as a game-changer in this domain. This guide is valuable for both data beginners and professionals, serving as a checklist for optimization opportunities.

Big Data 279
article thumbnail

Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. This approach is cumbersome and challenging to operate efficiently at scale. Teams have introduced workarounds to reduce storage costs. Limited data availability constrains value creation.

Analytics 264
article thumbnail

Introducing Netflix TimeSeries Data Abstraction Layer

The Netflix TechBlog

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 239
article thumbnail

Dynatrace launches Databases app to provide DBA insights across all databases

Dynatrace

Options include expanding the tablespace, setting up automatic space management, or augmenting overall storage capacity to ensure uninterrupted database operations. This data equips you to adjust and optimize systems for peak efficiency. When this space approaches its limit, DBAs must act to avoid disruptions.

Database 246