Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. But first, some background. Why containers? Watch webinar now!

Open Source 301

Open Source Traffic DevOps Cloud 301

Adrian Cockcroft

JUNE 2, 2023

My talk was on Innovation and Tipping Points, the first half was based on some content I’ve given before on how to get out of the way of innovation by speeding up time to value or idea to implementation. You need to be able to innovate fast enough to pivot or reinvent your business model and leverage the change.

Social Media 98

Social Media Innovation Open Source Entertainment 98

Percona

OCTOBER 18, 2023

Free of vendor lock-in Vendor lock-in refers to the loss of freedom to scale, innovate, or switch to alternatives due to dependencies on a specific database vendor. Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you.

Open Source 93

Open Source Database Hardware Strategy 93

SQL Performance

JANUARY 23, 2020

Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Waits and Queues has been used as a SQL Server performance tuning methodology since Tom Davidson published the above article as well as the well-known SQL Server 2005 Waits and Queues whitepaper in 2006. The Top Queries That Weren't.

Tuning 115

Tuning Servers Monitoring Hardware 115

The Morning Paper

JUNE 27, 2019

Systems researchers are doing an excellent job improving the performance of 5-year old benchmarks, but gradually making it harder to explore innovative machine learning research ideas. That said, after around 17 minutes Tensor Comprehensions does find a solution that outperforms a hand-tuned CUDA solution. Breaking out of the rut.

Systems 87

Systems Tuning Programming Innovation 87

Adrian Cockcroft

JUNE 21, 2022

I really enjoyed the variety of working with several different customers every day, on different problems, and being part of an extremely innovative and fast growing company. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

The Morning Paper

NOVEMBER 10, 2019

Rather than reimplement TCP/IP or refactor an existing transport, we started Pony Express from scratch to innovate on more efficient interfaces, architecture, and protocol. The ability to rapidly deploy new versions of Pony Express significantly aided development and tuning of congestion control. Emphasis mine).

Network 92

Network Transportation Latency Entertainment 92

The Agile Manager

JUNE 30, 2015

A company financed to produce long-term stable cash flows from operations isn't a company that is prepared to respond to threat of competitive innovation via software or anything else, let alone one that will be a source of competitive disruption. Is every company destined to be a software company? It might consume a lot of software.

Software 40

Software Software Innovation Hardware 40

O'Reilly Software

APRIL 4, 2018

The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. It enables unbounded scalability as more commodity or specialized hardware can be seamlessly added to existing clusters. What message process warranty level do we require? At least once? At most once? Exactly once?

Architecture 80

Architecture Scalability Google Operating System 80

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

The Netflix TechBlog

APRIL 29, 2019

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid. We leverage Python to protect our SSH resources using Bless.

Open Source 279

Open Source Network Infrastructure Big Data 279

All Things Distributed

MARCH 19, 2018

Amazon SageMaker training supports powerful container management mechanisms that include spinning up large numbers of containers on different hardware with fast networking and access to the underlying hardware, such as GPUs. Post-training model tuning and rich states. This can all be done without touching a single line of code.

Scalability 159

Scalability Hardware AWS Tuning 159

SQL Server According to Bob

JANUARY 11, 2020

​​ With new ​​ innovations ​​ come ​​ new terms, designs, ​​ and ​​ algorithms. ​​ Extended Data: ​​ “incorrect checksum (expected:​​ ## ; actual:​​ ## )” Contact your hardware manufacture for assistance.

Servers 40

Servers Cache Database Media 40

All Things Distributed

MARCH 7, 2013

We have also reduced our underlying costs through significant technical innovations from our engineering team. This allows us to tune both our hardware and our software to ensure that the end-to-end service is both cost-efficient and highly performant.

Ecommerce 139

Ecommerce Storage Scalability Hardware 139

All Things Distributed

OCTOBER 8, 2014

Let’s now look at the history behind the service and the context for new innovations that make me think that. Now that we have added support for document object model while delivering consistent fast performance, I think DynamoDB is the logical first choice for any application. NoSQL and Scale.

Availability 145

Availability Performance Scalability AWS 145

All Things Distributed

NOVEMBER 30, 2016

Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

High Scalability

NOVEMBER 25, 2019

Eventually, we resorted to caching the events in memory for a short duration and also tuning the GC settings on those nodes as we are doing a lot of young generation collections. How are software and hardware upgrades rolled out? AWS : Their pace of innovation is admiring. Miscellaneous. Who do you admire?

Architecture 52

Architecture Cache Azure Storage 52