Remove Cache Remove Innovation Remove Scalability Remove Software
article thumbnail

Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. The latest Amazon Lambda innovation, Lambda SnapStart, has day one support from Dynatrace. Built for enterprise scalability.

Lambda 229
article thumbnail

How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

This freedom allows teams and individuals to move fast to deliver on innovation and feel responsible for quality and robustness of their delivery. the order of the rows on your Netflix home page, issuing content licenses when you click play, finding the Open Connect cache closest to you with the content you requested, and many more).

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

Key Advantages of DBMS for Efficient Data Management

Scalegrid

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. It provides tools for organizing and retrieving data efficiently.

article thumbnail

What is a Distributed Storage System

Scalegrid

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130
article thumbnail

The Amazing Evolution of In-Memory Computing

ScaleOut Software

From Distributed Caches to Real-Time Digital Twins. In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

article thumbnail

The Amazing Evolution of In-Memory Computing

ScaleOut Software

From Distributed Caches to Real-Time Digital Twins. In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

article thumbnail

Sponsored Post: pMD, InMemory.Net, Triplebyte, Etleap, Stream, Scalyr

High Scalability

Senior DevOps Engineer : Your engineering work will focus on using your deep knowledge of the web stack including firewalls, web applications, caches and data stores ­ to create innovative infrastructure architectures that are resilient, scalable, and blazingly fast. Please apply here. Apply here. Need excellent people?