Mai 2017 - Seite 147 von 189 - Cloud Computing Köln

We’re happy to announce that all the breakout session video recordings from DockerCon 2017 are now available online! Special shoutout to all the amazing speakers for making their sessions informative and insightful. All the videos are published on the Docker Youtube channel and the presentation slides available from the Docker Slideshare account.
Here are the links to the playlists of each track:
Use Case Track
Use case talks are about practical applications of Docker and are heavy on technical detail and implementation advice. Topics covered during this track were related to high availability and parallel usage in the gaming industry, Cloud scale for e-commerce giants, Security compliance and system, protocols legacy in financial and health care institutions.

Black Belt Track
Black Belt talks were deeply technical sessions presented by Docker experts. These sessions are code and demo heavy and light on the slides. From container internals to advanced container orchestration, security and networking, this track is a delight for the container connoisseurs in the room.

Docker Deep Dive
This track focuses on the technical details associated with the different components of the Docker platform: advanced orchestration, networking, security, storage, management and plug-ins. The Docker engineering leads walk you through the best way to build, ship and run distributed applications with Docker as well as give you a hint at what’s on their roadmaps.

Using Docker Track
This track is for everyone who’s getting started with Docker or wants to better implement Docker in their workflow. Whether you’re a .NET, Java or NodeJS developer looking to modernizing your applications, or an IT Pro who wants to learn about Docker orchestration and application troubleshooting, this track will have specific sessions for you to get up to speed with Docker.

Wildcard Track
Wildcard talks are all about informing, inspiring and delighting attendees in the light of what they can with containers and other related technologies. Culture, community, tech trends, business or innovative talks, anything that’s Docker related.

Community Theater Track
Community Theaters feature cool Docker hacks and lightning talks by various community members on a range of topics like Community Cool Hacks, Docker and Serverless, Docker and RaspberryPi.

All the @dockercon videos and slides are now live! #dockercon #docker #learningdocker Click To Tweet

The post DockerCon 2017: all the session videos are now live! appeared first on Docker Blog.
Quelle: https://blog.docker.com/feed/

9. Mai 2017

da Agency

Get agile, structured and efficient with IBM at Gartner IOSS Summit

If you’re attending the Gartner IT Operations Strategies & Solutions Summit 2017 this week, you shouldn’t miss what the IBM Performance Management and Operations Management team will be sharing.
Our team’s portfolio covers the monitoring and management of customer solutions both from a DevOps perspective as well as for centralized IT operations management teams. We can show you why companies must have agility in the early development phases, add structure as complexity and scale increases, and finally, drive efficiency into DevOps and operations processes. If you follow these steeps, your business can deliver new applications faster, quickly restore service following an outage and even reduce operational costs.
Come to the IOSS Summit exhibit hall, where IBM will demonstrate how you can achieve the following:
Get agile
We’ve seen that the majority of software issues that arise are due to changes made in the environment or the code. By providing availability monitoring that is integrated into the DevOps toolchain, organizations can become more agile.
A key DevOps best practice: create monitoring early in the application development cycle and use the same monitoring through the toolchain into production. This way, you can allow teams to support constant updates, but you’ll know changes are not impacting what your customers are experiencing. Monitoring in a DevOps environment can be integrated into an overall hybrid cloud operations solution.
Get structured
As applications and services scale up or become more complex, DevOps teams and the IT operations team can introduce more structure, without losing agility. They can do this by quickly identifying service-impacting incidents and restoring service fast. You can get structured by systematically correlating, notifying and resolving service-impacting incidents.
If you automate notifications through integrated notification service, you can ensure the right people are notified in their preferred alerting mechanism, based on scheduling. Notifications and resolutions can be provided in the context of an incident. More structure helps you resolve issues faster and helps minimize incidents that might impact your customers.
Get efficient
As companies grow, their focus often shifts to maximizing efficiency and delivering exemplary service. Out-of-the-box analytics and machine learning can help make businesses more efficient.
You can harness streaming analytics to proactively avoid outages. We have seen that companies can reduce top-priority incidents—the issues that impact service—by 85 percent in the first few months. Analytics help our clients achieve results like these by identifying actionable anomalies and insights without manual configuration to avoid issues that impact service and help identify their root cause. You can achieve greater efficiency by capturing the triage of anomalies in runbooks for team members.
Proactive analytics will allow your team to analyze, review and take immediate action. Event analytics drives operational effectiveness and efficiency for traditional IT operations teams, who traditionally respond to issues reactively. Event grouping reduces actionable events by grouping issues that always occur together. This reduces noise and provides better context for faster issue resolution. Additionally, seasonality analytics improve efficiency by identifying and resolving recurring problems.
I hope you’ll join us in the Gartner IOSS exhibit hall this week. Find us in Booth 200. We’ll show you how IBM Hybrid IT Service Management solutions can help you become more agile, structured and efficient.
For more on what’s in store at Gartner IOSS 2017, read this blog post.
The post Get agile, structured and efficient with IBM at Gartner IOSS Summit appeared first on Cloud computing news.
Quelle: Thoughts on Cloud

9. Mai 2017

da Agency

More GPUs, more power, more intelligence

Last year we introduced our first GPU offering powered by NVIDIA’s Tesla-based GPUs and we have seen an amazing customer response. With the Azure NC-series, you can run CUDA workloads on up to four Tesla K80 GPUs in a single virtual machine. Additionally, unlike any other cloud provider, the NC-series offers RDMA and InfiniBand connectivity for extremely low-latency, high throughput, and scale-out workloads. We want to enable your workloads to scale-up and to scale-out.

Given these GPU powerhouses, one of the fastest growing workloads we have seen on Azure are AI and Deep Learning. This includes image recognition, speech training, natural language processing, and even pedestrian detection for autonomous vehicles. Building on these learning possibilities, I am excited to announce that we will be expanding our GPU-based offerings on Azure with the new ND-series. This new series, powered by NVIDIA Tesla P40 GPUs based on the new Pascal Architecture, is excellent for training and inference. These instances provide over 2x the performance over the previous generation for FP32 (single precision floating point operations), for AI workloads utilizing CNTK, TensorFlow, Caffe, and other frameworks. The ND-series also offers a much larger GPU memory size (24GB), enabling customers to fit much larger neural net models. Finally, like our NC-series, the ND-series will offer RDMA and InfiniBand connectivity so you can run large-scale training jobs spanning hundreds of GPUs.

Here is a table describing these new sizes:

Size
CPU’s
GPU
Memory
Networking

ND6s
6
1 P40
112 GB
Azure Network

ND12s
12
2 P40
224 GB
Azure Network

ND24s
24
4 P40
448 GB
Azure Network

ND24rs
24
4 P40
448 GB

InfiniBand

In addition to AI and Deep Learning workloads, your traditional HPC workloads can also benefit from a performance boost, powering scenarios like reservoir modeling, DNA sequencing, protein analysis, Monte Carlo simulations, rendering, and others. One of the promises of the cloud has always been agility. As your computational needs change and expand/shrink and as the models improve/mature, you want to leverage the latest and greatest hardware for computation without waiting for existing hardware to age. With Azure, this will now become possible.

I am excited to announce plans to release the next generation of our NC-series, the NCv2, powered by NVIDIA Tesla P100 GPUs. These new GPUs provide more than 2x the computational performance of our current NC-series. We will also offer InfiniBand networking for workloads that require fast interconnect, like Oil & Gas, Automotive, and Genomics to also accelerate scale out capability as well as improved single instance performance.

Size
CPU’s
GPU
Memory
Networking

NC6s_v2
6
1 P100
112 GB
Azure Network

NC12s_v2
12
2 P100
224 GB
Azure Network

NC24s_v2
24
4 P100
448 GB
Azure Network

NC24rs_v2
24
4 P100
448 GB

InfiniBand

“With these new offerings, Microsoft is bringing the benefits of the Pascal architecture to thousands of enterprises eager to transform their businesses with the power of deep learning and high performance computing,” said Ian Buck, General Manager of Accelerated Computing at NVIDIA. “The demand for accelerated computing with GPUs has never been higher, and we are thrilled to be working with Microsoft to provide the leading edge computing platform for Azure.”

I am certain with these upcoming new sizes that you can deploy our cutting edge virtual machines for your accelerated workloads.

The above new sizes will be available later in the year. To sign up for the preview, please visit the sign-up page.
Quelle: Azure