managed-infrastructure 
Intercom, Inc.
MARCH 15, 2018
As a startup scales, the importance of infrastructure engineers simply can’t be overstated. Will Larson has managed infrastructure teams for some of the biggest names in software. All the while, he’s been sharing his latest thoughts on infrastructure, devtools, management and more, on his Irrational Exuberance blog.
Mironov Consulting
JULY 25, 2018
Many infrastructure development teams don’t have a product manager, or have a fractional product owner/analyst working primarily on detailed technical requirements. Product managers and development teams solve different problems. We should not force developers to be product managers, or vice versa.
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Intercom, Inc.
MAY 25, 2022
This ambition is reflected in the way we design and build the infrastructure that supports the Intercom platform. Each year on Black Friday, as many of our customers hit their busiest period, our infrastructure scales to match without human intervention”. Intercom’s global infrastructure is built for internet scale.
Intercom, Inc.
APRIL 13, 2021
Every product team is burdened by the effort required to evolve and maintain complex infrastructure that powers their features. So we decided to do something contrary to our engineering principles – run our search infrastructure ourselves on Elastic Compute Cloud hosts, or EC2 as it’s known. Providing invisible management.
Advertiser: Data Robot
As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. Machine learning operations (MLOps) is the technical response to that issue, helping companies to manage, monitor, deploy, and govern their models from a central hub.
The Product Coalition
JUNE 2, 2023
About Amazon Web Services (AWS): Cloud service platform for startups Amazon’s AWS (Amazon Web Services) is a cloud computing platform that includes infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and packaged software-as-a-service (SaaS) services. First of all, let’s explore what these cloud service platforms really mean.
Intercom, Inc.
NOVEMBER 3, 2021
Alert fatigue is a common problem among engineering teams that handle operations and maintain infrastructure. The problem usually stems from a haphazard approach to writing alerts as teams grow and begin using more infrastructure of increasing complexity.
Advertiser: Datadog
By modernizing and shifting legacy workloads to the cloud, organizations are able to improve the performance and reliability of their applications while reducing infrastructure cost and management.
Advertiser: Data Robot
Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability. What are the core elements of an MLOps infrastructure? Why do AI-driven organizations need it?
Speaker: Ahmad Jubran, Cloud Product Innovation Consultant
In order to maintain a competitive advantage, CTOs and product managers are shifting their products to the cloud. Optimize serverless and managed data processing pipelines. Interpret and make decisions from a cloud data analytics infrastructure. Many do this by simply replicating their current architectures in the cloud.
Speaker: Stephanie Lewandowski, Senior Product Manager, Teachstone
As the product manager, you need to know the best way to lead the team in this transformation while avoiding common pitfalls. In this webinar, you will learn 5 considerations for moving to a Cloud infrastructure: Scale your product to maximize experience while minimizing costs.
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However, in order to successfully expose analytics to customers and partners, companies are faced with three main challenges: Manage complex data (big and disparate datasets) quickly. Ensure the solution is built on scalable, cost effective infrastructure. Share data and insights securely.
Speaker: Cliff Gilley, The Clever PM
As a Product Manager, you probably have to deal with technical debt. Unexpected details pop up, as small as UX that needs clean-up, and as big as a previously unforeseen flaw in the infrastructure of a project. Whether you like it or not - because it can’t be avoided. We have to accept that nobody gets away without some technical debt.
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