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Use Cases
SOLUTION BRIEF
MESOSPHERE ENTERPRISE DC/OS:ELASTIC DATA INFRASTRUCTURE
Mesosphere Enterprise DC/OS: Gather and react to data faster
Mesosphere makes modern enterprise apps easy to build, run, and scale with DC/OS - a datacenter-scale platform that elastically runs the full modern app: containerized microservices and stateful data services. With DC/OS, distributed data services like HDFS, Spark, Kafka, and Cassandra resiliently run on shared resources in the datacenter or cloud, and install in seconds.
Enterprises are moving from batch and micro-batch processing to real-time event processing, where problems are solved using predictive and prescriptive analytics. Adoption of fast-data applications that analyze real-time streaming data and serve millions of users is often impeded by the underlying infrastructure. The biggest challenges to adoption include: 1) Technology evaluation and selection, 2) Integration and interoperability, and 3) Provisioning, operationalizing, and scaling.
With Mesosphere Enterprise DC/OS, data services are easy to deploy and scale with a single click. Services are loosely coupled and composable, to evolve with you and enable you to adapt to new services as they emerge. Data services were traditionally deployed in separate clusters, leading to low utilization and slow provisioning of new resources. Mesosphere DC/OS runs stateful data services alongside containers on the same shared infrastructure, dramatically increasing utilization and providing a highly elastic infrastructure. Mesosphere DC/OS makes software upgrades simple and reliable, so your teams can use the version of their choice.
IOT Applications
Harness the power of connected devices and sensors to create groundbreaking new products, disrupt existing business models, or optimize your supply chain.
Anomaly Detection
Detect in real-time problems such as financial fraud, structural defects, potential medical conditions, and other anomalies.
Predictive Analytics
Manage risk and capture new business opportunities with real-time analytics and probabilistic forecasting of customers, products and partners.
Personalization
Deliver a unique experience in real-time that is relevant and engaging based on a deep understanding of the customer and current context.
Works Where You Work
Install Enterprise DC/OS on any public cloud or in your own private datacenter—whether virtualized or on bare metal. Create a consistent user experience and move your workloads with ease.
Mesosphere Enterprise DC/OS
The only production proven and fully supported platform that elastically runs containerized apps and data services at scale. Effortlessly power IoT, predictive analytics, and personalization applications with an elastic, resilient data infrastructure.
Over 40 Services Made For Enterprise DC/OS
Enterprise DC/OS enables single-command installation of services like Spark, Cassandra, Jenkins, and Kafka. Once a service is installed, it can be run across the entire datacenter, elastically sharing all or some of the datacenter’s resources.
OVER 30 OTHERS!
Mesos: Resource Manager
GUI & CLI: Management &
Monitoring
Universe: Store for App
Services
Security
Advanced Networking & Storage Operations & Troubleshooting
Multitenancy
Service ManagerMarathon: Container
Orchestration
Frameworks: Data Services management
SOLUTION BRIEF
CaaS PaaS
Traditional Approach
Big Data Analytics Stateful Service
Mesosphere DC/OS Approach
Mesosphere Enterprise DC/OS
Container App
Container App Big Data
Analytics #2
Stateful Service
#1
Big Data Analytics
#1
Stateful Service
#2
Container App
Container App
BIG DATA SERVICESMICROSERVICES
CaaS PaaS
● Uses 66% less infrastructure● Simplified operations● Turnkey install of datacenter-wide services● Easier to experiment with new tech (e.g., Spark)
Easy Data Infrastructure with Mesosphere Enterprise DC/OS
Build, deploy and run a complete platform for modern applications.
EVENTS
Broad variety of connected sensors and apps produce
constant streams of ubiquitous data — from
cars, wearables, buildings to everything else.
INGEST STORE ANALYZE ACT
Highly scalable publish-subscribe event bus ensures ubiquitous
data is captured with no loss, supporting millions
of events per second.
Highly durable, available, and scalable database stores processed data
from analysis and applications.
Data from event bus and persistent database is
processed using batch, streaming, machine learning,
and graph compilation to gain new insights.
Present insights to a human, or trigger actions in connected devices or
applications.
Kafka SparkCassandra
Mesosphere Enterprise DC/OS
High-scale messaging backbone enabling loose
coupling between apps, data processing, and data persistence services
Large-scale distributed database supporting
multi-datacenter replication for availability, durability
and performance
Large-scale data processing engine supporting SQL,
streaming, machine learning & graph computation
Akka
Toolkit and runtime to simplify
development of data centric applications
● Static partitioning● Weeks to provision, manual operations● Difficult to try to experiment with new tech
SOLUTION BRIEF
Interested In Learning More?
Contact our Sales team at www.mesosphere.com/contact or visit our website www.mesosphere.com/solutions/data
Mesosphere Data Agility Partners
Founded by the team that built Kafka, Confluent builds a stream data platform that enables companies to easily access
data as real-time streams.
The leading provider of database software for cloud applications, with a platform built on Apache Cassandra™.
Provides the leading Reactive application development platform based on Apache Spark, Akka, Play,
Lagom, and Scala.
Behind the open source projects — Elasticsearch, Logstash, Kibana, and Beats — designed to search, analyze,
and visualize data in real time.
Distributed and highly scalable database for all data models.
ArangoDB is fully-certified for DC/OS including persistent primitives.
Relational, in-memory database optimized for multi-machine
deployment.
Advantages of running stateful data services on Enterprise DC/OS
Simplified provisioning
● Single command installation
● With multiple-service instances, build on a loosely coupled architecture and adapt to new services as they emerge
● Enables multiple apps to share a common pool of cluster resources, saving 60% on hardware and cloud costs
Easy operations
● Add or remove nodes, update service configuration, and upgrade software during runtime for continuous operations
● Monitoring and metrics for health and capacity monitoring; integrate with your logging and metrics services
Business continuity
● Intelligently replicate data across fault domains
● Configurable policies enable services to automatically remediate failed servers for improved availability