Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. Cold storage and rehydration. Cold storage and rehydration. This is also known as root-cause analysis. Peak performance analysis.

Analytics 220

Analytics Storage Retail Monitoring 220

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. Cold storage and rehydration. Cold storage and rehydration. This is also known as root-cause analysis. Peak performance analysis.

Analytics 186

Analytics Storage Retail Monitoring 186

Dynatrace

JANUARY 16, 2023

Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines. Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. Java Virtual Machine (JVM)-based languages are predominant.

Open Source 346

Open Source Java Operating System Programming 346

Dynatrace

APRIL 26, 2022

RUM use cases include monitoring an online retailer’s site to detect any increases in page load time, tracking users’ paths through a conversion funnel, or analyzing adoption of new mobile app versions. PC, smartphone, server) or virtual (virtual machines, cloud gateways). Endpoint monitoring (EM).

Monitoring 209

Monitoring Social Media IoT Metrics 209

All Things Distributed

AUGUST 20, 2015

Today, we are releasing a plugin that allows customers to use the Titan graph engine with Amazon DynamoDB as the backend storage layer. It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. The importance of relationships.

Database 134

Database Logistics Availability Social Media 134

All Things Distributed

MARCH 11, 2016

This becomes an even more important lesson at scale: for example, as S3 processes trillions and trillions of storage transactions, anything that has even the slightest probability of error will become realistic. If customers have many tiny files, then storage and bandwidth don’t amount to much even if they are making millions of requests.

AWS 147

AWS Hardware Retail Virtualization 147

All Things Distributed

OCTOBER 2, 2017

In support of Amazon Prime Day 2017, the biggest day in Amazon retail history, DynamoDB served over 12.9 VPC Endpoints give you the ability to control whether network traffic between your application and DynamoDB traverses the public Internet or stays within your virtual private cloud. million requests per second.

Internet 130

Internet Internet AWS Performance 130