Altexsoft

APRIL 26, 2022

The former extracts and transforms information before loading it into centralized storage while the latter allows for loading data prior to transformation. Developed in 2012 and officially launched in 2014, Snowflake is a cloud-based data platform provided as a SaaS (Software-as-a-Service) solution with a completely new SQL query engine.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Existek

JUNE 20, 2023

In 2014, Firebase was acquired by Google, which expanded the capabilities and reach of the platform. It continued expanding beyond databases and authentication to include services like Firebase Cloud Messaging, Firebase Hosting, Firebase Storage, Firebase Analytics, Firebase Performance Monitoring, etc.

Technical Review 52

Technical Review Software Review Authentication Scalability 52

Lacework

SEPTEMBER 9, 2022

Moving away from virtual machines to containers or even serverless functions. Breaking up your data storage into optimized services like NoSQL databases and simple object stores. . At the same, you need to support teams that have gone completely serverless and are pushing the edge of what’s possible. They happen. The first step?

Cloud 59

Cloud DevOps Google Cloud Serverless 59

Existek

JANUARY 11, 2022

They provided a few services like computing, Azure Bob storage, SQL Azure, and Azure Service Bus. For example, they considerably revised the cloud strategy due to the need to transform the delivery model from PaaS to IaaS, thus renaming Windows Azure to Microsoft Azure in 2014. . Migration and transfer. Business apps. Game tech .

Azure 52

Azure AWS Cloud How To 52

High Scalability

JUNE 22, 2018

Xtracerx : for me the biggest value to serverless functions is how nicely they tie in to the ecosystem of a cloud provider. using them to respond to storage events on s3 or database events or auth events is super easy and powerful. Ultimately, Netflix did end up paying Comcast in 2014 and, surprise surprise, the throttling stopped.

Scalability 45

Scalability Internet IPv6 Film 45

Altexsoft

JULY 18, 2023

Hadoop YARN : Often the preferred choice due to its scalability and seamless integration with Hadoop’s data storage systems, ideal for larger, distributed workloads. This impressive statistic comes from a 2014 benchmark test where Spark significantly improved performance over Hadoop MapReduce.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

FEBRUARY 24, 2023

Clearly, there must be a mechanism to coordinate the work of such complex distributed systems, and that’s exactly what Kubernetes was designed for by Google back in 2014. Each pod, in turn, holds a container or several containers with common storage and networking resources which together make a single microservice.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Codegiant

JULY 18, 2020

Free and unlimited GitHub private repositories, however, with limited GitHub repository storage size. in the early 2014 rumors emerged about GitHub setting an ugly case of employee harassment. Git Large File Storage (LFS) ?—?Both You can bring 5 users on board and get 50 GB of storage. GitHub code reviews. Integrations?—?seamlessly

Software Review 59

Software Review Technical Review Systems Review UI/UX 59

Openxcell

FEBRUARY 8, 2021

The mobile app development platform architecture should support various API mediation, microservices, event-driven, serverless requirements to build a robust mobile application. This includes many important back-end services such as location services, offline synchronization, data, file storage, push notifications, user management, etc.

Software Review 52

Software Review Mobile Weak Development Team Software 52

d2iq

AUGUST 29, 2022

June 2014, Google introduced Kubernetes as “a lean yet powerful open source container manager that deploys containers into a fleet of machines, provides health management and replication capabilities, and makes it easy for containers to connect to one another and the outside world.”

Survey 87

Survey Artificial Inteligence Serverless Artificial Intelligence 87

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. They often get blindsided by vendor’s pitch and end-up making decision based on some fancy demos (see my post from 2014 on Adobe AEM ).

Systems Review 63

Systems Review System Microservices Software Review 63

Confluent

FEBRUARY 13, 2019

Reactive Manifesto, 2014. To determine which partition is used for storage, the key is mapped into a key space. I also discuss the future of serverless and streaming with Tim Berglund in episode 18 of the Streaming Audio podcast. Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless.

Architecture 92

Architecture Programming Microservices Serverless 92

CIO

MARCH 12, 2025

Tigran Khrimian, chief technology engineering officer at the Financial Industry Regulatory Authority (FINRA), says he started developing best practices in 2014. Plus, many enterprises were doing FinOps well before the term was coined. We never really adopted the term FinOps, but weve been doing it from the beginning, he says.

Cloud 180

Cloud Weak Development Team Technical Review Data Center 180