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Today, San Francisco-based MuleSoft made its debut as a public company on the New York Stock Exchange (disclosure: MuleSoft is the parent company to ProgrammableWeb.com). Ahead of the IPO, the company priced its shares at $17 and closed its first day of trading at $24.75.
Editor’s note: Be sure to check out our research on the overall growth of Web APIs since 2005. At the time of writing, this is the most recent data we have, but check the research page to see if we have a more updated article. We will be continually updating the overall growth chart with other charts getting updated on a less frequent basis.
You can now use upgraded versions of Apache MXNet, TensorFlow, CNTK, and Caffe, on the AWS Deep Learning AMI v1.2 for Ubuntu, including Keras, available in the AWS Marketplace. The Deep Learning AMI v1.2 for Ubuntu is designed to continue to provide a stable, secure, and high performance execution environment for deep learning applications running on Amazon EC2. The latest MXNet release (v0.9.3), included with this AMI v1.2, adds several enhancements including a faster new image processing API that enables parallel processing, improved multi GPU performance, and support for new operators. This AMI includes the following framework versions: Apache MXNet: v0.9.3; Tensorflow v1.0.0; Caffe release: rc5; Theano: rel 0.8.2; Keras: 1.2.2; CNTK: v2.0 beta12.0; and Torch: master branch. The Deep Learning AMI includes Jupyter notebooks with Python 2.7 and Python 3.4 kernels, Matplotlib, Scikit-image, CppLint, Pylint, pandas, Graphviz, Bokeh Python packages, Boto and Boto 3 and the AWS CLI. The DL AMI also comes packaged with Anaconda 2 and Anaconda 3 Data Science platform. You can start using the Deep Learning AMI release v1.2 in the AWS Marketplace, today.
We are excited to announce that Amazon ElastiCache now supports enhanced Redis Backup and Restore with Cluster Resizing. In October 2016, we launched support for Redis Cluster with Redis 3.2.4. In addition to scaling your Redis workloads across up to 15 shards with 3.5TiB of data, it also allowed creating cluster-level backups, which contain snapshots of each of the cluster’s shards. With this launch, we are adding the capability to restore a backup into a Redis Cluster with a different number of shards and slot distribution, allowing you to resize your Redis workload. ElastiCache will parse the Redis key space across the backup’s individual snapshots, and redistribute the keys in the new Cluster according to the requested number of shards and hash slots. Your new cluster can be either larger or smaller in size, as long as the data fits in the selected configuration.
Amazon WorkDocs now provides an Activity Feed so that you can easily track all activities related to your files and folders, and stay connected to what’s going on.
AWS Step Functions now gives you more flexibility in how AWS Lambda function error messages are handled in your workflow so you can improve the resiliency of serverless applications. Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly. With Step Functions, you can create state machines to orchestrate multiple Lambda functions and build multi-step serverless applications.
We are pleased to announce the launch of our newest edge location in Zurich, our first edge location in Switzerland.