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Showing 1 - 3 of 3 white papers, page 1 of 1.
Forrester: Monitoring Containerized Microservices - Elevate Your Metrics
As enterprises continue to rapidly adopt containerized microservices, infrastructure and operations (I&O) teams need to address the growing complexities of monitoring these highly dynamic and distributed applications. The scale of these environments can pose tremendous monitoring challenges. This report will guide I&O leaders in what to consider when developing their technology and metric strategies for monitoring microservices and container-based applications.
As enterprises continue to rapidly adopt containerized microservices, infrastructure and operations (I&O) teams need to address the growing complexities of monitoring these highly dynamic and distributed applications. The scale of these environments can pose tremendous monitoring challenges. This report will guide I&O leaders in what to consider when developing their technology and metric strategies for monitoring microservices and container-based applications.
Fast-tracking your restaurant's digital transformation
Quick service restaurants are experiencing a surge in post-COVID innovation as customer buying behaviors are changed forever. New AI-driven smart applications are appearing that can help deliver on these needs. The bad news is that all these new capabilities mean more IT systems that have to be installed and managed at each location. What if you could accelerate in-restaurant application delivery across all your locations, whilst minimizing infrastructure costs, and reducing complexity?

QSR gets fast and personal

Quick service restaurants are experiencing a surge in post-COVID innovation as customer buying behaviors are changed forever. Customers increasingly demand a better experience - personalization, touchless ordering, smart drive-thrus with pick-up times measured in seconds, and highly consistent food quality.

The good news is that new AI-driven smart applications are appearing that can help deliver on these needs. The bad news is that all these new capabilities mean more IT systems that have to be installed and managed at each location. This leads to high infrastructure costs, more pressure on valuable floor-space, and increased reliance on expensive IT skills to keep things running.

What if you could accelerate in-restaurant application delivery across all your locations, whilst minimizing infrastructure costs, and reducing complexity?

In this whitepaper, Sunlight explores:
●    The new shape of quick service restaurants
●    The rise of smart applications
●    Typical examples of smart application benefits
●    Why smart applications need to run where the data happens
●    How Sunlight can help

With the right support, it can be possible to:
●    Pay less than $5,000 per site for an edge computing node
●    Deploy applications in 10 minutes
●    Remove the need for in-restaurant IT skills

Understanding the key requirements for deploying edge computing
Sunlight.io, the edge infrastructure company, commissioned analyst firm Omdia to conduct a piece of research into the challenges of deploying applications at the edge. The report brings to the fore that while edge computing isn’t new in itself, recent digitisation and consumer demands mean enterprises are shifting to edge - driven by low latency, data gravity and data privacy requirements. But a lot is still undefined.

Edge drivers and challenges

Sunlight.io, the edge infrastructure company, commissioned analyst firm Omdia to conduct a piece of research into the challenges of deploying applications at the edge. The report brings to the fore that while edge computing isn’t new in itself, recent digitisation and consumer demands mean enterprises are shifting to edge - driven by low latency, data gravity and data privacy requirements. But a lot is still undefined.

The paper explores:
●    Why defining the edge is not as easy as it sounds
●    What is driving this push to the edge?
●    The challenges of deploying the edge
●    Why the move to cloud-native is a new opportunity for HCI
●    Some final thoughts