DataStax Accelerate On-Demand

Explore the trends, strategies, and technologies driving application modernization and data management that will help you move your business into the future. Learn about the future of Apache Cassandra™, DataStax Constellation, a cloud-native data platform, and 70+ technical sessions designed to help you build game-changing applications in the cloud, on premises, or in a hybrid cloud environment.

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Running a Globally Distributed Cassandra Cluster on Kubernetes in the Cloud

There are several examples online that show how to get a Cassandra cluster up and running in Kubernetes, but very few on how to go beyond a simple deployment to a globally distributed and operationally viable one. In this talk, Mike will be going over the technical and operational issues uncovered with running in this type of environment, and the solutions his team have implemented.

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DataStax Enterprise in Azure – Walgreens Path to the Cloud-Based Microservices Applications

During this presentation, you will learn why Walgreens picked DataStax as a database platform for our new Rx Microservices Application Stack. We'll explore how we are deploying and using DataStax and Apache Cassandra in the Azure Cloud. This includes VM and configuration details with Azure Cloud specific nuances as well as the DataStax Enterprise security features implementation related to LDAP, SSL/TLS, TDE, and audit. We'll provide an overview of lessons learned from our recent implementation, which includes DSE 6.0.x upgrades, and share our experience and some tidbits on new DSE 6.x features such as NodeSync.

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The Hybrid Cloud Journey: Lessons Learned

The majority of DataStax customers are running DataStax in a hybrid cloud architecture. Learn the patterns that emerge as we help our customers plan their data management strategies within the context of their cloud strategies. And with iteration of delivery, there are new opportunities to gain benefits from and new challenges to tackle. Apply these hybrid cloud strategy trends to your future transition to hybrid cloud.

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Real-Time Insurance Product Recommendations and Customer 360 Across Multiple Clouds? We Can and You Can Too

Boggess Advisory Group helped a leading insurance giant create a streaming data platform that constructs a 360-degree view of the customer in real time. The platform powers the creation of new investment products and a remarkable planning experience by leveraging containerized DataStax Enterprise running in Kubernetes. To avoid lock-in, we deployed across two public cloud vendors (AWS and Azure) which allows cost optimization and cloud independence at scale. Come learn more about our use case and how we deployed it for the best possible customer experience.

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DataStax Enterprise on VMware Cloud for Hybrid Deployments

Customers have been using VMware with DataStax Enterprise and Apache Cassandra on premises for years. In 2018, we jointly launched a breakthrough in the VSAN architecture which enabled storage to be pinned to its compute node. In this talk we'll provide a review of those breakthroughs and performance results as well as insight into how easily this can now be applied to VMware Cloud to enable a seamless cloud migration and hybrid cloud strategy for our joint customers. We'll also provide detailed performance, scale, failover, and operational test results.

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What's Next for Cassandra in the Cloud?

Apache Cassandra is justifiably famous as the database of choice for many digital native companies who deploy their apps exclusively in public clouds. Many large enterprises have followed that example and found success there as well, but not without some banged shins along the way. As powerful as it is, Cassandra can be a difficult bit of technology to implement and manage properly. This talk presents how DataStax has worked to reduce that level of difficulty and make it easy for developers to get started with Cassandra in the cloud with just a few clicks.

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10 Things to NOT Do When Using Cassandra on the Cloud

There is plenty of advice for how to set up and manage Apache Cassandra on AWS – however, that still does not prevent people from doing the wrong things! This session is based on our experience managing production Cassandra environments on the cloud, and AWS in particular. We will cover how NOT to set up clusters, replication, repair, backups, monitoring and alerting, etc.

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Lessons Learned: A Walk Through Hybrid and Multi-Cloud Deployments

Hybrid/Multi cloud is a hot topic right now. But it brings a different set of problems and challenges to the table. The way a Cassandra Cluster is maintained might change significantly due to the Hybrid/Multi cloud nature. In this talk I will go through the problems and lessons learned in deploying and maintaining different clusters in different Hybrid/Multi cloud settings.

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Developing Fault-Tolerant Applications in the Cloud with Kubernetes and Cassandra

Learn how to build and scale applications leveraging Kubernetes Engine and Cassandra. Kubernetes Engine enables rapid application development and iteration by making it easy to deploy, update and manage your applications and services. In this session, you will learn how to build fault-tolerant applications by leveraging Kubernetes Engine's health check, and automated repairs to detect and recover your application failure.

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Deploying DataStax Enterprise in a Hybrid Cloud Configuration Using Kubernetes

K8s is taking the world by storm giving unprecedented deployment flexibility. This session is intended for practitioners including devops, engineers, and architects. We'll walk through: How to easily spin up a DSE cluster in the cloud How to manage the cluster including scaling, monitoring, etc. Disaster preparedness Multi-dc on-prem and cloud Tips and tricks We'll provide a set of takeaways in the form of working scripts via GitHub project.

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Migrating 500 Nodes from Rackspace to Google Cloud with Zero Downtime

METRONOM, a multinational B2B Supermarket, migrated round 80 clusters with over 500 nodes from Rackspace in the UK to Google Cloud in Belgium, saving money and surviving Brexit. This is the story of how we managed this with zero production downtime, the problems and solutions we encountered on the way. An example of using Cassandra DCs to migrate data across geographical boundaries.

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