Events

IBM goes to KubeCon EU 2018

CloudNativeCon and KubeCon is an important bi-annual event in Europe and North America, and we just wrapped up in Copenhagen last week. IBM is not only a founding member in CNCF (the organizer), we’re also a Diamond sponsor for the conference. Going into this event, we had a lot of momentum, leading us to great […]

Garage

The importance of fun in the workplace

One of the key elements of the Cloud Garage Method is Culture. That single word encompasses a whole range of practices about how we manage our projects, and how we interact with our stakeholders and each other. One of my favorite parts of the Cloud Garage culture is the fact that it includes a fun work environment.

Compute Infrastructure

Accelerate and streamline AI and HPC workloads with new NVIDIA GPUs on IBM Cloud

Starting today, you can equip individual IBM Cloud bare metal servers with up to two NVIDIA Tesla V100 PCIe GPU accelerators — NVIDIA’s latest, fastest and most advanced GPU architecture. The combination of IBM high-speed network connectivity and bare metal servers with the Tesla V100 GPUs provides the performance and speed that enterprises need. That means AI models that once needed weeks of computing resources can now be trained in just a few hours.

5 New 3rd Party Service adds to the IBM Cloud Catalog

In 2018 we added three new 3rd party services to our growing partner ecosystem on IBM Cloud. From IoT to A.I. to wealth management, we’re adding more services to give you, our developers, what you need to build compelling digital solutions.

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Flexible & secure: Cloud storage solutions for all your workload needs

When it comes to storage in the cloud, having a combination of block, file and cloud object storage gives you the ability to optimize your storage costs all while providing reliability, durability and security. Learn about the IBM Cloud enterprise-grade storage solutions that can help your businesses’ use cases.

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How to architect an application with microservices (part 2)

This 6-part series on microservices application development provides a context for defining a cloud-based pilot project that best fits current needs and prepares for a longer-term cloud adoption decision. Gartner analysts recently emphasized the importance of doing cloud native development as soon as possible after any initial migration of existing workloads. Explore the Gartner report […]

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How to rapidly develop applications with microservices (part 1)

This is the first post in a series on how to move your team towards the best long-term cloud platform adoption decision. Since adopting a cloud platform involves a significant commitment, and implies the confirmation that comes from previous work on one or more pilot projects, the primary goal of this series is to get you to the step of defining an appropriate cloud-based pilot project for your team.

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Introducing IBM Cognos Dashboard Embedded

The new solution, IBM Cognos Dashboard Embedded, allows you to integrate a dynamic analytics workflow directly into your offering.

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Welcome aboard Envestnet, Difitek and SPLICE!

To help you get even more from IBM Cloud, we’re excited to announce three new 3rd party services to help you enhance your applications and strengthen your competitive advantage!

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GDPR updates to IBM Analytics Engine

In consideration of GDPR regulations, IBM has made changes to the IBM Analytics Engine Cloud Service to provide improved security and compliance readiness, and needs you to take certain actions to include those changes as part of your applications. All customers are required to do this irrespective of their geography, or the type of data […]

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Enable users to provide direct feedback and understand user sentiments with Mobile Analytics

As part of IBM Mobile Analytics Advanced plans we recently launched 2 new features called Sentiment Analysis and In-App feedback.

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Accelerate decisions with real-time Streaming Analytics

The world doesn’t stop, which also means that data never stops pouring in. If you’re in the analytics game, then basing your efforts on a snapshot of historical data always involves a degree of compromise. Did you choose the right data set? One that is an accurate representation of ongoing operations so that it doesn’t skew your analysis? How soon will your insights be outdated? How can you cost-effectively store the data you’re analyzing?

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