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MachineShop

MachineShop

www.machineshop.io

Device relationship management for connected products.

21tools
7decisions
0followers
OverviewTech Stack21Dev Feed

Tech Stack

View all 21
Stack by Layer
Application & Data8
Utilities4
DevOps6
Business Tools3
Application & Data
8 tools (38%)
Utilities
4 tools (19%)
DevOps
6 tools (29%)
Business Tools
3 tools (14%)

Application & Data

8
GolangAmazon EC2MongoDBPostgreSQLKubernetesDockerNGINXAiven

Utilities

4
VerneMQKafkaRunscopeSlack

DevOps

6
JiraGitHubShippableDatadogPapertrailPagerDuty

Business Tools

3
ReactG SuiteConfluence

Latest from Engineering

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DJ Ambrisco
DJ Ambrisco

Principle Software Engineer at MachineShop

Mar 21, 2019

Needs advice

We use Runscope in order to run system tests on all of our environments around the clock. This helps us identify system-spanning issues that aren't visible in isolation and react to them before they hit production and also serves as yet another warning system just in case something does find its way into prod.

8.27k views8.27k
Comments
DJ Ambrisco
DJ Ambrisco

Principle Software Engineer at MachineShop

Mar 21, 2019

Needs advice

We first began using Papertrail largely because of the plug-and-play integration they provided with Kubernetes. Being able to launch a single daemonset and see logs in a few seconds was a strong demonstration of its capabilities and it's continued to be valuable any time we need to drill into alerts.

11.4k views11.4k
Comments
DJ Ambrisco
DJ Ambrisco

Principle Software Engineer at MachineShop

Mar 21, 2019

Needs advice

One of the very first tools I pulled in when I joined MachineShop was Datadog. We were lacking monitoring and Datadog was my go-to and in the subsequent years its thoroughly proven itself as reliable and informative. We use Datadog to both detect a wide variety of system anomalies and errors as well as provide highly detailed dashboards that help to indicate our system's health at a glance.

60.3k views60.3k
Comments
DJ Ambrisco
DJ Ambrisco

Principle Software Engineer at MachineShop

Mar 21, 2019

ReviewonKafkaKafka

Kafka was only introduced to our platform in August 2018 as a means to manage our data pipeline and to replace other messaging systems used to decouple various components in our system. Kafka provides the scale and storage we need to manage data for however many devices we might service. Additionally, Kafka has helped us lay the framework for improved and highly detailed statistics gathering and analysis.

5.07k views5.07k
Comments

Team on StackShare

2
DJ Ambrisco
Tony Hillerson