A few months ago, we reimagined data warehousing in the IBM Cloud with Flex Performance, the flagship tier of our new Flex line of offerings. Flex brings new levels of elasticity, speed, and resiliency to data warehousing on the IBM Cloud, and forms the foundation for our strategy moving forward. We're working continuously to not only strengthen and enhance its capabilities, but to also make them more accessible to you so you can better leverage them and get the most out of your data warehouse. Today, we're proud to announce a significant update to our Flex family.
In a new solution tutorial, I show you how to automatically retrieve and store GitHub traffic data the serverless way with IBM Cloud Functions and Db2. The data can then be analyzed via a Web app deployed to Cloud Foundry on IBM Cloud. The app is secured with App ID using OpenID Connect. The new service Dynamic Dashboard Embedded provides visualization of the views and clones of GitHub repositories.
ScyllaDB 2.0.3 is now available, in beta, through IBM Cloud Compose. The new release brings even more Cassandra-compatible features to Scylla, the high-performance, C++ based, in-place replacement for Cassandra. The Scylla 2.0.3 release also sees TLS encryption for clients switched on.
Included in the latest updates: two new upgrade options available for MongoDB and Elasticsearch users on the IBM Cloud. The release of MongoDB 3.4.10 and Elasticsearch 6.2.2 from IBM Compose are major version upgrades with many new features. There are also new backup restoration options which make upgrading easier along with new log file API endpoints.
Recently, I introduced you to a new tutorial for a database-driven Slackbot. Today, I am going to discuss security details, how the IBM Watson Conversation service is accessing a Db2 Warehouse service from within a dialog. It uses a serverless setup with IBM Cloud Functions. All the necessary credentials to execute the code and to access the Db2 database are automatically bound. Hence, the function code and the dialog don't need any account-specific changes and are generic.
A tutorial I wrote, featuring a database-backed Slack chatbot, is now live. It uses Db2 as database system to store event data. The client accessing the database is written in Node.js and is implement with IBM Cloud Functions in a serverless way. During the development of that tutorial I faced the question on how to perform the database setup. Should I guide users through the user interface to create a table and insert data? Should they install a Db2 client and execute a script locally? I solved the problem in a serverless fashion. Here are the details.
Ever wanted to build a Slackbot, a chatbot integrated into Slack, on your own? I am going to show you how easy it is to integrate Slack or Facebook Messenger with the IBM Watson Conversation service. As a bonus, the bot is going to access a Db2 database to store and retrieve data. The code in the tutorial uses a serverless fashion with IBM Cloud Functions.
When your business is operating at web scale, every microsecond counts. For most of the past decade, it has been an open secret that website performance has a measurable impact on financial results – for example, a study conducted by one major web retailer revealed that every additional 100 milliseconds of latency resulted in substantial and costly losses in revenue.