Google on May 20 launched a new cloud storage service specifically for software developers that will provide another option alongside several similar online services, including Amazon’s well-established Simple Storage Service, or S3.
The announcement was made at the Google I/O 2010 developers’ conference at Moscone West in San Francisco.
Amazon might have anticipated this new competition, announcing May 19 that it is trimming its storage rates for S3 by 33 percent.
Google Storage for Developers utilizes the RESTful application programming interface (API) and Google’s vast existing storage and networking infrastructure to store data and code from cloud-computing projects while they are being built.
In the Web services world, REpresentational State Transfer (REST) is a key design idiom that embraces a stateless client/server architecture in which the Web services are viewed as resources and can be identified by their URLs.
Using this API, it becomes much easier for developers to connect their applications to Google’s storage, which is replicated across several of its U.S. data centers.
The new Google service offers multiple authentication methods, SSL (Secure Sockets Layer) support, and access controls for sharing with individuals and groups, Jessie Jiang of the Google Storage for Developers Team wrote in a blog.
“It is highly scalable-supporting read-after-write data consistency, objects of hundreds of gigabytes in size per request, and a domain-scoped namespace. In addition, developers can manage their storage from a Web-based interface and use GSUtil, an open-source command-line tool and library,” Jiang wrote.
Jiang said that Google Storage for Developers is being opened “to a limited number of developers at this time. During the preview, each developer will receive up to 100GB of data storage and 300Gbit monthly bandwidth at no charge.”
To learn more and sign up for the waiting list, visit the Google Storage for Developers site.
Jiang said that the team will be demonstrating the service at Google I/O 2010 in a session and in the Developer Sandbox.

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
-
Aktuelle Nachrichten - Ressourcen Ressourcen-HubsAusgewählte RessourcenLink to The Real AI Power Play: Who Controls Your Enterprise Data Layer?
The Real AI Power Play: Who Controls Your Enterprise Data Layer?IT and data teams were promised that AI would make work easier. Instead, it's created new layers of complexity.Link to Building the Backbone of Agentic AI with Trusted, Context-Rich Data
Building the Backbone of Agentic AI with Trusted, Context-Rich DataIn this 10-minute take video, Reltio Principal Solutions Consultant Guy Vorster explains how organizations can overcome fragmented data challenges to power AI agents.Link to IHG scales real-time, trusted data across global brands
IHG scales real-time, trusted data across global brandsAccelerating time to value while powering data-driven engagementLink to Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform Infrastructure
Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform InfrastructureAI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.
Link to BMC’s Jennifer Margules on Intelligent Enterprise Orchestration
BMC’s Jennifer Margules on Intelligent Enterprise OrchestrationIn this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.
Link to Global-First Finance: Building Scalable, Compliant Operations in an Uncertain World
Global-First Finance: Building Scalable, Compliant Operations in an Uncertain WorldeSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
-
Künstliche Intelligenz -
Video -
Big Data & Analytik -
Cloud -
Netzwerk - Cybersicherheit Cybersicherheit
- Anwendungen Anwendungen
- IT-Verwaltung IT-Verwaltung
- Speicherung Speicherung
- Mobil Mobil
- Kleine Unternehmen Kleine Unternehmen
- Entwicklung Entwicklung
- Datenbank Datenbank
- Server Server
- Android Android
- Apple Apple
- Innovation Innovation
- PC-Hardware PC-Hardware
- Bewertungen Bewertungen
- Suchmaschinen Suchmaschinen
- Virtualisierung Virtualisierung
-
- Blogs Blogs
- Ereignisse Ereignisse