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