The Morning Paper

SEPTEMBER 19, 2019

Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time. Could it be Analyzing efficient stream processing on modern hardware ? What if the network was no longer the bottleneck? What’s their secret??? Do we want that? Yes please!

Blockchain 46

Blockchain Hardware Google Analytics 46

The Morning Paper

FEBRUARY 20, 2020

NN translation optimisations replace classical ML operators and data ‘featurizers’ with neural networks that can be executed directly in e.g. ONNX Runtime, PyTorch, or TensorFlow. " This speed-up came through SQL Server automatically parallelising the scan and predict operators, as compared to the ORT sequential execution.

Processing 72

Processing Hardware Database Azure 72

Testsigma

MAY 19, 2021

Thinking back on how SDLC started and what it is today, the only reasons for its success can be accounted to efficiency, speed and most importantly automation – DevOps and cloud-based solutions can be considered major contributors here (after all DevOps is 41% less time-consuming than traditional ops ). . Software as a Service (SaaS).

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Brendan Gregg

FEBRUARY 28, 2023

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 52

Performance Latency Cache Virtualization 52

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 56

Hardware Latency Virtualization Cloud 56

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 40

Hardware Latency Virtualization Cloud 40

High Scalability

NOVEMBER 25, 2019

To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Document store. Data interdependence. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52

Percona

JULY 26, 2023

To make this process work more efficiently and ensure a smooth failover, it is important to have the same hardware configuration on all the nodes of the replica set. Indexing can help to speed up read queries, but it comes with an extra cost of storage, and they will slow down write operations.

Database 79

Database Servers Storage Strategy 79

SQL Server According to Bob

JULY 13, 2016

desktop machine (I won’t tell you the hardware details. Don’t worry about taking screenshots or speed reading. So the initial time to run this all depends on your network speed. In addition, the Download Media option includes a link to create a virtual machine in Azure for SQL Server 2016. Go install it”.

Servers 40

Servers Media Engineering Virtualization 40

O'Reilly

NOVEMBER 28, 2023

That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure. AI isn’t yet at the point where it can write as well as an experienced human, but if your company needs catalog descriptions for hundreds of items, speed may be more important than brilliant prose. from education.

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112