Category: Technology

Enterprise Mobility @ SAP – Relay

paschmann

This is another blog post of a series around the enterprise mobility IT team at SAP. We are an internal IT team focused on managing mobile devices, applications, and developing custom apps for SAP’s 100,000 employees. I have been a part of this team for the past six years and believe we have some unique stories, software, tools, and insights to help others in the community considering, or currently undertaking, some of the challenges which surround mobility and its adoption in the enterprise.

Introduction

As mentioned in previous posts, apps are an essential cornerstone of mobility @ SAP. Whether they are employee initiated or driven by innovation, we adopt the underlying processes and do our best to deliver solutions that increase our end users’ productivity. This post will take a deep dive into the ideation, architecture, design, and lifecycle of an internal app called Relay. A real-time chat application initially developed in 2012 using the Business Technology Platform (Previously known as the SAP Cloud Platform). A variation of the application might be familiar to some of you SAP community users, as Messages. We recently retired the application internally due to the increased adoption of MS Teams and Slack. However, I believe that some of the concepts and premise behind the application are still relevant to share. read more

Enterprise Mobility @ SAP – Mobile App Development

paschmann

This is the second blog post of a series around the enterprise mobility IT team at SAP. We are an internal team focused on managing mobile devices, applications, and developing custom apps for SAP’s 100,000 employees. I have been a part of this team for the past six years. I believe we have some unique stories, software, tools, and insights to help others in the community considering, or currently undertaking, some of the challenges which surround mobility and its adoption in the enterprise.

Introduction

Apps have been a cornerstone for deploying mobile devices at SAP, and like any symbiotic relationship, the success of one depends on the success of the other. Our employees have realized the benefits of simplicity, speed, and availability in consumer applications and the power of their mobile devices. They have brought that same expectation to the enterprise and expect that these same traits be available in their work lives and daily processes. This is often how our mobile projects are initiated. In my eyes, the employees who demand innovation are the unicorns of the enterprise – they are passionate, willing, and eager to buck the norm and innovate on processes, which could be decades old, but rife for improvement. read more

Enterprise Mobility @ SAP – Introduction

paschmann

This is the first blog post of a series around the enterprise mobility team at SAP. We are an internal IT team focused on managing mobile devices, mobile applications, and developing custom apps for SAP’s 100,000 employees. I have been a part of this team for the past six years and believe we have some unique stories, software, tools, and insights to help others in the community considering, or currently undertaking, some of the challenges which surround mobility and its adoption in the enterprise.

Introduction

SAP has been on the leading edge of adopting, deploying, and developing its Enterprise Mobility strategy for over ten years. It was one of the initial early adopters of Apple in the enterprise, with a field deployment of over 11,000 iPads in 2011. At the time, it was the second-largest deployment worldwide. Not only did SAP deploy and encourage the adoption of these innovative devices in our employee’s hands, but the team also had a early start on developing native iOS apps to support and empower our employees in their daily lives, enabling them to be more productive anywhere. read more

My preferred tech stack

paschmann
LanguagesJavascript/Typescript
Frontend FrameworksAngular, Bootstrap 4, WordPress
Backend FrameworksExpress
Build Systems
Development ToolsNodemon
DatabasePostgres (AWS RDS)
DeploymentShell scripts
DevelopmentGithub, VS Code, Posgres.app
LintingESLint
TestingPuppeteer, Headless Chrome
3rd PartyGoogle Services
Git ClientSourcetree
HTTP ClientPostman
Source CodeGithub
InfrastructureLightsail, AWS
CertsLets Encrypt
Domains1&1
CLI Toolshtop, pm2, shell
SSH ClientTermius
SFTPFilezilla
MonitoringSentry
EmailAWS SES
Email Templates
UI ComponentsEnvato Elements
UsageMatomo
MarketingProductHunt, 
DesignDribbble, Adobe Behance, 
MockupsSketch, Photoshop
Photo EditingPhotoshop
Vector Design/EditingIllustrator
IconsEnvato Elements
PhotosUnsplash
Color Palettes
Issue ManagementGithub Issues
Knowledge baseGithub Wiki
Payment ProcessingStripe
Chat Support

Quantum Algorithms – Complexity Classes Notes

paschmann

Traveling sales person problem

Solve problems which are NP hard – and they can’t be solved in polynomial time.

P versus NP problem: full polynomial versus nondeterministic polynomial problem

A P problem is one that can be solved in “polynomial time,” which means that an algorithm exists for its solution such that the number of steps in the algorithm is bounded by a polynomial function of n, where n corresponds to the length of the input for the problem. Thus, P problems are said to be easy, or tractable. A problem is called NP if its solution can be guessed and verified in polynomial time, and nondeterministic means that no particular rule is followed to make the guess. read more

Do Things That Don’t Scale

paschmann

http://www.paulgraham.com/ds.html#f1n

One of the most common types of advice we give at Y Combinator is to do things that don’t scale. A lot of would-be founders believe that startups either take off or don’t. You build something, make it available, and if you’ve made a better mousetrap, people beat a path to your door as promised. Or they don’t, in which case the market must not exist.

Bookmarks: Emerging Architectures for Modern Data Infrastructure

paschmann

As an industry, we’ve gotten exceptionally good at building large, complex software systems. We’re now starting to see the rise of massive, complex systems built around data – where the primary business value of the system comes from the analysis of data, rather than the software directly. We’re seeing quick-moving impacts of this trend across the industry, including the emergence of new roles, shifts in customer spending, and the emergence of new startups providing infrastructure and tooling around data.

In fact, many of today’s fastest growing infrastructure startups build products to manage data. These systems enable data-driven decision making (analytic systems) and drive data-powered products, including with machine learning (operational systems). They range from the pipes that carry data, to storage solutions that house data, to SQL engines that analyze data, to dashboards that make data easy to understand – from data science and machine learning libraries, to automated data pipelines, to data catalogs, and beyond. read more