DOCKER SWARM VS KUBERNETES VS MESOS SOFTWARE

But containerization also requires overcoming issues like scaling, replication, and monitoring that come with containerization. Over the last several months we have seen a joint interest across teams in launching applications as document containers, which is great because of benefits of containerization that include multiple infrastructure and applications. As an infrastructure team, we set up and manage clusters and provision of resources to all the teams and groups across the ChildrenвЂ™s Hospital. The following presentation was inspired by an internship I did at the Cincinnati ChildrenвЂ™s Hospital.Д¬incinnati ChildrenвЂ™s is a premier research organization that is ranked third in the country. My dissertation is largely about the use of graph databases and provenance to study the impact assessment of schema evolution the context of data warehouses. What weвЂ™re going to be talking about today are three different container orchestration tools: Kubernetes, Docker Swarm, and Apache Mesos:

Neo4j Container Orchestration with Kubernetes, Docker Swarm, and Mesos Again, she ends with an Apache Mesos demo. She points out how Mesos can be used to manage both Docker and non-Docker jobs, providing you with a framework to launch both of these heterogeneous workloads onto the same cluster. As before, Aggarwal includes a hands-on demo of deploying to Kubernetes.ДЇinally, Aggarwal shares the advantages of using Apache Mesos for container orchestration. Next, Aggarwal presents on the strengths of Kubernetes, most notably the greater number of concepts, a higher level of abstraction, better stability and more maturity. Aggarwal concludes with a demo of Docker Swarm. She also dives into the three main deployment strategies: spread, binpack and random. The three most popular container orchestration tools she examines include Docker Swarm, Kubernetes, and Apache Mesos.ДЄggarwal first demonstrates the advantages and tradeoffs of Docker Swarm, including the familiarity of the Docker API. In this GraphConnect presentation, Dippy Aggarwal walks you through the basics of Docker containerization and why Docker alone isnвЂ™t enough to handle todayвЂ™s challenges of scale and multi-cluster deployments. It is now safe to say that Kubernetes won the container orchestration wars itвЂ™s clearly the de facto standard for stateless applications and microservices.EditorвЂ™s Note: This presentation was given by Dippy Aggarwal at GraphConnect San Francisco in October 2016.Д¬ontainer orchestration for multiple containers across a fleet of machines has the potential to solve issues across the range of scaling, replication, fault tolerance and container communication.

And with major technology vendors from AWS to Docker to Microsoft jumping on the bandwagon along with Google and Red Hat, the momentum behind Kubernetes is undeniable. WeвЂ™ve also actively tracked the maturity and evolution of the ecosystem around Kubernetes. WeвЂ™ve paid particularly close attention to the container orchestration wars (e.g. вЂќД¬hintamaneni goes on, вЂњSince then, weвЂ™ve been following this space very closely.

DOCKER SWARM VS KUBERNETES VS MESOS SOFTWARE

So we developed our own purpose-built container orchestration for Big Data and included it in our BlueData EPIC software platform. More importantly, the existing tools for container orchestration simply didnвЂ™t meet our enterprise customersвЂ™ requirements for production deployments of large-scale distributed systems. At that time, there was no clear choice for container orchestration. A recent article written by Anant Chintamaneni, VP of Products at BlueData, states, вЂњHere at BlueData, weвЂ™ve been leading the charge on deploying and running Big Data applications like Hadoop and Spark on containers: we first announced our support for Docker more than two years ago.

Docker swarm vs kubernetes vs mesos