Case Studies Streetline: A smart parking technology company helps to solve parking problems using on-premise Kubernetes with OpenEBS

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	Streetline: A smart parking technology company helps to solve parking problems using on-premise Kubernetes with OpenEBS

Streetline: A smart parking technology company helps to solve parking problems using on-premise Kubernetes with OpenEBS

Technology Category	Infrastructure as a Service (IaaS) - Cloud Computing Platform as a Service (PaaS) - Connectivity Platforms
Applicable Industries	Cities & Municipalities Transportation
Applicable Functions	Business Operation Logistics & Transportation
Use Cases	Infrastructure Inspection Smart City Operations
Services	Cloud Planning, Design & Implementation Services System Integration
Challenge	Streetline, a leading company providing parking intelligence software and services, was facing challenges with its first-generation software that was written to run on VMs in enterprise data centers. As the company grew, it started to add services on the cloud and recognized the potential of containerization and Kubernetes as their future platform. However, due to preferences from their customers for their data to be physically segregated from the public cloud, Streetline did not select a hosted offering from a cloud vendor. The team examined CoreOS, Rancher, and other methods to run Kubernetes distributions. They decided to run their own distribution of Kubernetes. Once Kubernetes was deployed and the operations fairly well automated, the focus turned to ways to minimize operational overhead while deploying a variety of stateful workloads including Redis, MySQL, Elasticsearch, and GitLab. Read More
About Customer	Streetline is one of the leading companies providing parking intelligence software and services to governments, enterprises, transit agencies, universities and others worldwide. The company has grown rapidly from its founding in 2005 and along the way has continually innovated its unique technology to remain the leader in smart parking, providing accurate parking policy and availability. Streetline is one of the first in the market to move toward infrastructure-less solutions using patented technology. Streetline products are disrupting the approach to smart parking by expertly using Machine Learning to provide accurate and reliable real-time utilization and parking, tools to help with guidance, parking governance, policy, on-demand pricing, urban planning and more. Read More
Solution	Streetline selected the open source OpenEBS from MayaData as the container attached storage for their development and operations use cases. OpenEBS was primarily compared to a traditional clustered storage system that was marketed at Cloud Native although it was developed over ten years before the emergence of Kubernetes and widespread containerization. Kelvin conducted a series of tests to include abruptly taking down nodes, having Kubernetes respond to the failed node, and ensuring that the data and service were still available from the underlying storage and then through the workloads. Both OpenEBS - using the Jiva engine initially - and the alternative open source cluster solution proved their resilience. In addition, the storage alternatives were evaluated in their ability to deploy stateful workloads quickly, automatically and be simple to manage. In this consideration, OpenEBS seemed quite different than the alternative solution. Read More Log in to view content
Contents

Technology Category

Infrastructure as a Service (IaaS) - Cloud Computing

Platform as a Service (PaaS) - Connectivity Platforms

Applicable Industries

Cities & Municipalities

Transportation

Applicable Functions

Business Operation

Logistics & Transportation

Use Cases

Infrastructure Inspection

Smart City Operations

Services

Cloud Planning, Design & Implementation Services

System Integration

Challenge

Streetline, a leading company providing parking intelligence software and services, was facing challenges with its first-generation software that was written to run on VMs in enterprise data centers. As the company grew, it started to add services on the cloud and recognized the potential of containerization and Kubernetes as their future platform. However, due to preferences from their customers for their data to be physically segregated from the public cloud, Streetline did not select a hosted offering from a cloud vendor. The team examined CoreOS, Rancher, and other methods to run Kubernetes distributions. They decided to run their own distribution of Kubernetes. Once Kubernetes was deployed and the operations fairly well automated, the focus turned to ways to minimize operational overhead while deploying a variety of stateful workloads including Redis, MySQL, Elasticsearch, and GitLab.

About Customer

Streetline is one of the leading companies providing parking intelligence software and services to governments, enterprises, transit agencies, universities and others worldwide. The company has grown rapidly from its founding in 2005 and along the way has continually innovated its unique technology to remain the leader in smart parking, providing accurate parking policy and availability. Streetline is one of the first in the market to move toward infrastructure-less solutions using patented technology. Streetline products are disrupting the approach to smart parking by expertly using Machine Learning to provide accurate and reliable real-time utilization and parking, tools to help with guidance, parking governance, policy, on-demand pricing, urban planning and more.

Solution

Streetline selected the open source OpenEBS from MayaData as the container attached storage for their development and operations use cases. OpenEBS was primarily compared to a traditional clustered storage system that was marketed at Cloud Native although it was developed over ten years before the emergence of Kubernetes and widespread containerization. Kelvin conducted a series of tests to include abruptly taking down nodes, having Kubernetes respond to the failed node, and ensuring that the data and service were still available from the underlying storage and then through the workloads. Both OpenEBS - using the Jiva engine initially - and the alternative open source cluster solution proved their resilience. In addition, the storage alternatives were evaluated in their ability to deploy stateful workloads quickly, automatically and be simple to manage. In this consideration, OpenEBS seemed quite different than the alternative solution.

Impact #1	Streetline has successfully scaled its usage of stateful workloads on Kubernetes for everything from software development through testing, deployment, and operation with the help of OpenEBS.
Impact #2	The end result is more confidence in their usage of Kubernetes and the ability to achieve greater agility thanks to the use of OpenEBS in conjunction with Kubernetes.
Impact #3	Using a more cost-effective and flexible set of software development and operations solution, in turn, has added to the increased success of Streetline delivery of cost-effective solutions to our premier smart parking clients.

Impact #1

Streetline has successfully scaled its usage of stateful workloads on Kubernetes for everything from software development through testing, deployment, and operation with the help of OpenEBS.

Impact #2

The end result is more confidence in their usage of Kubernetes and the ability to achieve greater agility thanks to the use of OpenEBS in conjunction with Kubernetes.

Impact #3

Using a more cost-effective and flexible set of software development and operations solution, in turn, has added to the increased success of Streetline delivery of cost-effective solutions to our premier smart parking clients.

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Overview

Streetline: A smart parking technology company helps to solve parking problems using on-premise Kubernetes with OpenEBS

Operational Impact