Hu's Place - HitachiVantara

FEBRUARY 1, 2019

It can be upgraded easily with a new firmware image in the same fashion as for switches or routers today. While CPU based systems can provide some degree of parallelism, such implementations require synchronization that limits scalability.

Hardware 49

Hardware Architecture Storage Systems Review 49

TechCrunch

DECEMBER 1, 2020

We’ve seen codec companies come and go, but the tech industry has coalesced around a handful of formats and standards that are revised in a painfully slow fashion. It’s more like the 3G, 4G, 5G system than version 7, version 7.1, 265, for instance, was introduced in 2013, but years afterwards its predecessor, H.264,

Video 252

Video Hardware Artificial Inteligence Technical Cofounder 252

Confluent

FEBRUARY 27, 2019

In part 1 of this series, we developed an understanding of event-driven architectures and determined that the event-first approach allows us to model the domain in addition to building decoupled, scalable and enterprise-wide systems that can evolve. The first call is where database connections (and the like) should be initialized.

Serverless 109

Serverless Lambda AWS Systems Review 109

O'Reilly Media - Ideas

DECEMBER 6, 2018

Here are three inflection points—the need for scale, a more reliable system, and a more powerful system—when a technology team might consider using a distributed system. Horizontal Scalability. This makes it easy to add nodes and functionality as needed.

Systems Review 85

Systems Review System Technical Review Technical Cofounder 85

Confluent

FEBRUARY 13, 2019

Rather, we apply different event planes to provide orthogonal aspects of system design such as core functionality, operations and instrumentation. Systems built as Reactive Systems are more flexible, loosely-coupled and scalable. It is very simple but presents scalability challenges.

Architecture 92

Architecture Programming Microservices Serverless 92

Henrik Warne

JULY 27, 2019

Foundations of Data Systems. An introductory chapter that defines reliability, scalability and maintainability. The reason for breaking the data up into partitions (also known as sharding) is scalability. MapReduce jobs read and write files on a distributed file system. Partitioning.

Systems Review 211

Systems Review Software Review Applications Data 211

Confluent

MAY 9, 2019

I’m going to explore four pillars for enabling scalable development that works across the event-driven enterprise. These pillars minimize complexity and provide foundational rules for building systems using composition. In the context of a payment system, you might need to drain the current set of payments for a topology change.

Microservices 94

Microservices Metrics Systems Review Architecture 94