The Morning Paper

FEBRUARY 16, 2020

Migrating a privacy-safe information extraction system to a software 2.0 This is a comparatively short (7 pages) but very interesting paper detailing the migration of a software system to a ‘Software 2.0’ A really interesting thing happens when you go from developing a Software 1.0 (i.e., In Software 1.0

Systems 84

Systems Design Software Software 84

Dynatrace

SEPTEMBER 20, 2022

DevSecOps brings development, operations, and security teams together in the software development lifecycle (SDLC). This approach enables teams to focus on speed and agility in software development without compromising security. Better-quality software builds. What is DevSecOps and what is a DevSecOps maturity model?

Best Practices 255

Best Practices DevOps Education Serverless 255

Dynatrace

FEBRUARY 10, 2022

Organizations are accelerating movement to the cloud, resulting in complex combinations of hybrid, multicloud [architecture],” said Rick McConnell, Dynatrace chief executive officer at the annual Perform conference in Las Vegas this week. Consider a true self-driving car as an example of how this software intelligence works.

Artificial Intelligence 180

Artificial Intelligence Performance Innovation Speed 180

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 223

AWS Lambda Artificial Intelligence Serverless 223

Percona

DECEMBER 27, 2023

At Percona, we observe a growing trend among companies utilizing Kubernetes as a means to offer services to their teams, fostering expedited software delivery and driving business growth. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 77

Cloud Open Source Strategy Best Practices 77

Dynatrace

JUNE 8, 2021

In software we use the concept of Service Level Objectives (SLOs) to enable us to keep track of our system versus our goals, often shown in a dashboard – like below –, to help us to reach an objective or provide an excellent service for users. The training program to proactively improve your services. Are you ready to kick some bugs?

Metrics 162

Metrics Tuning Programming Systems 162

Dynatrace

AUGUST 7, 2023

They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. Because generative AI is probabilistic in nature, its value depends on the quality of data that trains its algorithms and prompts. Developers use generative AI to find errors in code and automatically document their code.

DevOps 179

DevOps Analytics Best Practices Java 179

Adrian Cockcroft

JANUARY 17, 2022

photo taken by Adrian Cockcroft A year ago I did a talk at re:Invent called Architecture Trends and Topics for 2021 , so I thought it was worth seeing how they played out and updating them for the coming year. I did a few talks on this subject early in the year, and linked this to the sustainability advantages of serverless architectures.

Serverless 98

Serverless Hardware AWS Architecture 98

Percona

DECEMBER 4, 2023

Percona software is designed for peak performance, uncompromised security, limitless scalability, and disaster-proofed availability. Our Release Roundups showcase the latest Percona software updates, tools, and features to help you manage and deploy our software. Take a look. was released. Percona Distribution for PostgreSQL 15.5

Open Source 77

Open Source Azure Servers Programming 77

Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. Generally, SLOs are important because they: Improve software quality. It is inevitable that software can break.

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. using Compute Express Link or CXL), organizing memory components for optimal performance, adapting system software traditionally designed for homogeneous memory systems, and developing memory abstractions and programming constructs for HCM management.

Latency 52

Latency Hardware Cache Architecture 52

DZone

MAY 20, 2019

SD-WAN (software-defined wide area network) is probably the most successful business adoption of SDN architecture and is continuously growing, as last year IDC forecast it to reach $4.5 billion by 2022.

Monitoring 100

Monitoring Network Traffic Architecture 100

Percona

JULY 10, 2023

Our Release Roundups showcase the latest Percona software updates, tools, and features to help you manage and deploy our software. It offers highlights, critical information, links to the full release notes, and direct links to the software or service itself to download. Download Percona Operator for PostgreSQL 2.2.0

Monitoring 76

Monitoring Open Source Scalability Database 76

The Netflix TechBlog

MAY 21, 2019

We thought that reinforcement learning would be a promising approach that could provide great flexibility in the training process. Likewise it has very low requirements on the initial amount of training data. Lerner, as a web-service, relies on Amazon Web Services (AWS) and Netflix’s Open Source Software (OSS) tools.

Testing 163

Testing AWS Lambda Network 163

Dynatrace

JULY 6, 2022

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. AI that is based on machine learning needs to be trained.

Artificial Intelligence 182

Artificial Intelligence Tuning Strategy Big Data 182

Scalegrid

JANUARY 5, 2024

It comprises a collection of interrelated data and a set of software tools that aid in the access, processing, and management of data. A DBMS, or Database Management System, is software used to store, retrieve, and manipulate data, serving as an interface between users and the database. What is the main advantage of using a database?

Efficiency 147

Efficiency Storage Database Scalability 147

High Scalability

JANUARY 11, 2022

Architecture. FUN FACT : In this talk , Dikang Gu, a software engineer at Instagram core infra team has mentioned about how they use Cassandra to serve critical usecases, high scalability requirements, and some pain points. Sending and receiving messages from other users. High Level Design. Streaming Data Model.

Design 334

Design Media Storage Logistics 334

High Scalability

APRIL 14, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Learn to balance architecture trade-offs and design scalable enterprise-level software. Apply here.

Education 105

Education Software Engineering Scalability Engineering 105

High Scalability

MAY 12, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Learn to balance architecture trade-offs and design scalable enterprise-level software. Apply here.

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

APRIL 28, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Learn to balance architecture trade-offs and design scalable enterprise-level software. Apply here.

Education 102

Education Software Engineering Scalability Engineering 102

The Morning Paper

FEBRUARY 18, 2020

The key insight this led to is that ML models are software , derived from data. ML learning systems combine the characteristics of software, e.g. the need for CI/CD pipelines, and of data, e.g. the need to track lineage. Many of the software engineering discipline and controls need to be brought over into an ML context.

Government 95

Government Software Engineering Storage Database 95

The Morning Paper

OCTOBER 18, 2020

But what about systems software? What really blew me away, is that this result includes the time taken to train the model used! The main innovation the authors introduce here is the use of linear spline fitting for training (as opposed to e.g. linear regression with an MSE loss function). The big idea. Evaluation.

Cache 137

Cache C++ Java Tuning 137

High Scalability

MAY 26, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Learn to balance architecture trade-offs and design scalable enterprise-level software. Apply here.

Education 100

Education AWS Software Engineering Scalability 100

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. This includes servers, applications, software platforms, and websites.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

O'Reilly

FEBRUARY 2, 2020

First, the behavior of an AI application depends on a model , which is built from source code and training data. You need a repository for models and for the training data. And that’s essential: if you need to understand how your model behaves, and you don’t have the training data, you’re sunk.

Software Architecture 70

Software Architecture Monitoring Software Engineering Architecture 70

Testsigma

NOVEMBER 18, 2021

The type of applications that are being tested has changed as well, from (now) legacy client server-based applications to microservice-based or cloud-based architectures. I see several anti-patterns in software testing. Spend time learning about practices and concepts in software testing. This changes how teams test for quality.

Engineering 104

Engineering Social Media DevOps Azure 104

O'Reilly Software

JANUARY 12, 2018

2018 marks the fourth year of O’Reilly’s Software Architecture Conference , a software engineering event focused on providing hands-on training experiences for technologists at all levels of an organization—from experienced developers up through CTOs. Building evolutionary software architecture.

Technology 75

Technology Technology Engineering Software Architecture 75

Dynatrace

MARCH 10, 2021

This is a game-changer in operations for sure, and better yet again when you can apply it along the entire digital value chain, from software development through service delivery to customer interactions. It needs to collect a substantial amount of data at the beginning to build a training dataset that an algorithm can begin to learn from.

AWS 142

AWS Cloud Artificial Intelligence Innovation 142

ACM Sigarch

APRIL 26, 2018

APU: Accelerated Processing Unit is the AMD’s Fusion architecture that integrates both CPU and GPU on the same die. They introduced the architecture of coarse grain reconfigurable array (CGRA) for statically scheduled data flow computing in HOTCHIPS’17 and its software stack of compiler and linker in ICCAD’17.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Adrian Cockcroft

FEBRUARY 13, 2023

Provides comparison of inference workload on P4dn GPU instances vs. AWS Trainium saving 92% energy and 90% cost, and training workload on P4dn vs. AWS Inferentia 2.6x shorter training time, saving 54% energy and 75% cost. SUS302 Optimizing architectures for sustainability — Katja Philipp AWS SA and Szymon Kochanski AWS SA.

AWS 64

AWS Energy Architecture Programming 64

Strategic Tech

JANUARY 22, 2024

Architecture modernization initiatives are strategic efforts involving many teams, usually for many months or years. An AMET is an architecture Enabling Team that helps to coordinate and upskill all teams and stakeholders involved in a modernization initiative. They need a more loosely coupled architecture and empowered teams.

Architecture 98

Architecture Metrics Logistics Strategy 98

Dynatrace

APRIL 15, 2021

Initially, there was an expectation that remote working would make this almost impossible, especially as teams were used to going into a room to whiteboard development and architecture. However, having remote meeting software with all the data at their fingertips was apparently all they required to quickly and efficiently pull this off.

Speed 161

Speed Media Monitoring Engineering 161

Tasktop

FEBRUARY 11, 2020

The allure of the project to product movement is that it offers real hope to global enterprises that they can master software delivery at scale and compete with the tech giants. As with any transformation, which in reality is ongoing, investment in training is essential. Technical: Agile teams, estimation, architecture.

Programming 69

Programming C++ Engineering DevOps 69

Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

Serverless 171

Serverless Architecture Open Source Innovation 171

The Morning Paper

AUGUST 22, 2019

In ITP a human expert guides the structure of the proof, telling the system which proof tactics to use at each step: The tactics capture high-level proof techniques such as induction, leaving low-level details to the software referred to as proof assistants. Agents can be trained using supervised or reinforcement learning.

Programming 76

Programming Open Source Systems Testing 76

Particular Software

APRIL 27, 2020

In-person training and conferences have been postponed, cancelled, or transitioned to the virtual world. Takeaways Information-dense videos on software architecture can be difficult to consume on your own. And few people will claim that watching densely-packed architectural videos all day is a substitute for in-person training.

Transportation 52

Transportation Systems Education Software Architecture 52

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. Because cloud architectures are more distributed and dynamic resources come and go as needed, performance can be varied. What is cloud migration?

Cloud 161

Cloud Traffic Best Practices Strategy 161