Dynatrace

JANUARY 16, 2023

Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines. On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors.

Open Source 346

Open Source Java Operating System Programming 346

Dynatrace

APRIL 26, 2022

Collected telemetry data may include the type of device being used (cellphone, tablet, smart watch), geographical location, server response time, performance, and security. PC, smartphone, server) or virtual (virtual machines, cloud gateways). Endpoints can be physical (i.e.,

Monitoring 209

Monitoring Social Media IoT Metrics 209

Dynatrace

JUNE 5, 2020

Our largest customers are global companies with absolutely massive application stacks, spreading across cloud and enterprise platforms, multiple physical geographies, tens of thousands of virtual and physical hosts and hundreds of thousands of containers. turning monitoring on and off based on server status in a CMDB.

Speed 133

Speed Retail Virtualization Monitoring 133

KeyCDN

MARCH 14, 2019

It can be used to decouple your frontend from your backend and improve server efficiency. Serverless Applications Managing your own server is so 2018. If you have a large database of user information stored on your servers, consider introducing multi-factor identification.

Development 101

Development Blockchain Serverless Social Media 101

O'Reilly Software

FEBRUARY 28, 2018

I suggested the radical modular breakdown of applications in a 2002 article , saying that: "the application , once the central fixture of computer use, would dissolve into a soup of servers, application fragments, and user interfaces." You also have to decide how fine-grained and nested your RESTful API should be. Conclusion.

Development 69

Development Retail Traffic Virtualization 69

Rigor

NOVEMBER 7, 2019

Modern sites or apps don’t exist in one single, specific place; they are fragmented across many virtual and physical systems, in different locations, in a variety of ways: Applications can be multitiered , with different systems living in different (physical or virtual) servers or entirely different data centers.

Monitoring 40

Monitoring Performance Cache Ecommerce 40

Abhishek Tiwari

DECEMBER 22, 2017

Big data frameworks such as Presto, Apache Spark, Apache Drill running on cloud virtual servers will enable you to perform the interactive or on-demand queries against your data lake. You can also use cloud and SaaS services such as Google BigQuery, Amazon Redshift Spectrum, Amazon Athena, Qubole to implement ELT approach.

Big Data 40

Big Data Retail Storage Google 40