Dynatrace

OCTOBER 4, 2022

Teams have introduced workarounds to reduce storage costs. Additionally, efforts such as lowered data retention times, two-tiered storage systems, shaky index management, sampled data, and data pipelines reduce the overall amount of stored data. Turn log data into value and activate Grail.

Analytics 240

Analytics Artificial Intelligence Storage Serverless 240

Dynatrace

APRIL 20, 2023

Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures. “Logs magnify these issues by far due to their volatile structure, the massive storage needed to process them, and due to potential gold hidden in their content,” Pawlowski said, highlighting the importance of log analysis.

Analytics 193

Analytics Infrastructure Storage Efficiency 193

Percona

OCTOBER 18, 2023

release , we added support for physical backups and restores to significantly reduce Recovery Time Objective ( RTO ), especially for big data sets. However, the problem of losing data between backups – in other words, Recovery Point Objective (RPO) – for physical backups was not solved. spec: backup: enabled: true.

Best Practices 89

Best Practices Storage AWS Big Data 89

Dynatrace

JANUARY 16, 2023

Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. Accordingly, for classic database use cases, organizations use a variety of relational databases and document stores. Databases : Among databases, Redis is the most used at 60%.

Open Source 347

Open Source Java Operating System Programming 347

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” A single document may represent thousands of features.

Hardware 97

Hardware Storage Big Data Blockchain 97

Percona

JANUARY 19, 2023

You can refer to the documentation for further details. If CPU usage is not a bottleneck in your setup, you can leverage compression as it can improve performance which means that less data needs to be read from disk and written to memory, and indexes are compressed too. It can help us to save costs on storage and backup times.

Open Source 85

Open Source Storage Database Big Data 85

Highly Scalable

MARCH 1, 2012

To explore data modeling techniques, we have to start with a more or less systematic view of NoSQL data models that preferably reveals trends and interconnections. And this was where a new evolution of data models began: Key-Value storage is a very simplistic, but very powerful model. Graph Databases: neo4j, FlockDB.

Database 279

Database Ecommerce Efficiency Engineering 279