Kentik

FEBRUARY 6, 2017

Coming off of a great 2016 at Kentik, we’re more confident than ever that Web, enterprise, and service-provider organizations are deeply hungry for the kind of network traffic intelligence offered by Kentik Detect. Among our highlights in 2016: Our annual recurring revenue grew nearly 6x.

Metrics 40

Metrics Analytics Network Microservices 40

CircleCI

NOVEMBER 18, 2021

Research firm Gartner first coined the term AIOps in 2016. AIOps uses machine learning and big data to assist IT operations. Systems have multiplied their components in the industry-wide shift to containers and microservices. However, the security challenges introduced by big data and software at scale are tangible.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Machine Learning Artificial Intelligence 52

RapidValue

JANUARY 26, 2020

Once it is moved to QA, it will be running in Windows Server 2016 and the production will have multiple Windows Server machines in a clustered manner. Typically, each environment in the application life cycle will have different specs and there will be challenges in deploying these in varying environments.

Transportation 89

Transportation Hardware Windows Virtualization 89

d2iq

FEBRUARY 19, 2021

We shall see that end-to-end machine learning platforms for the big data era have only emerged over the last five years at various tech companies such as Facebook, Twitter, Google, Uber, and Netflix. It relied on Torch’s core but replaced Lua with Python, which is the de facto language for data science.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

Battery Ventures

JULY 23, 2018

Europe’s enterprise and B2B tech scene, nurturing companies in less-sexy but still vital sectors like big data, AI, cybersecurity and business software, has produced fewer household names but is growing fast. of European venture deals, up from 13% in 2016, according to KPMG. PayPal just forked over $2.2

B2B 55

B2B Open Source Enterprise Culture 55

Apps Associates

JUNE 22, 2022

R6id instances are ideal for memory-intensive workloads, distributed web-scale in-memory caches, in-memory databases, and real-time big data analytics. They will also benefit applications that need temporary data storage, such as caches and scratch files.

AWS 52

AWS IPv6 Storage Serverless 52

Existek

JANUARY 11, 2022

Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. The next big step in advancing Azure was introducing the container strategy, as containers and microservices took the industry to a new level.

Azure 52

Azure AWS Cloud How To 52

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. 1 again in proposals this year.

Conference 10

Conference Data Data Engineering Big Data 10

LeanEssays

JUNE 5, 2015

and architectures (microservices) made it possible for small services and applications to be easily and rapidly deployed. For example, (Calçado, 2015) shows how classic lean tools – Value Stream Mapping and problem solving with Five Whys – were used to increase flow efficiency at Soundcloud, leading over time to a microservices architecture.

Software Development 55

Software Development Software Review Software Development 55