Dynatrace

OCTOBER 2, 2023

Because monolithic applications combine database, client-side interfaces, and server-side application elements in a single executable, they’re difficult to understand, even for their own administrators. Security should be an integral part of each stage of the software delivery lifecycle, from development to monitoring in real time.

Architecture 237

Architecture Artificial Intelligence Cloud Open Source 237

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. What is workload in cloud computing?

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JANUARY 26, 2021

REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week. Serverless resources are highly flexible and are customized based on the application.

Serverless 245

Serverless Efficiency Lambda Azure 245

Scalegrid

JANUARY 11, 2024

This includes servers, applications, software platforms, and websites. In upcoming developments, we can anticipate a greater reliance on artificial intelligence (AI) and machine learning for effective cloud security monitoring. These various tools can significantly strengthen security protocols in a cloud environment.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Scalegrid

FEBRUARY 8, 2024

At its core, a distributed storage system comprises three main components: a controller for managing the system’s operations, an internal datastore where information is held, and databases geared towards ensuring scalability, partitioning capabilities, and high availability for all types of data. Is NTFS a distributed file system?

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. And I’m sure we’ve all experienced frustration when an application crashes, is slow to load, or doesn’t load at all.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

O'Reilly

AUGUST 8, 2023

Everyone knows that ChatGPT had one of the most successful launches of any software project, passing a million users in its first five days. That makes sense; although it’s still early, Langchain looks like it will be the cornerstone of LLM-based software development. What can we make of this?

Artificial Intelligence 71

Artificial Intelligence Programming Games Open Source 71

O'Reilly

DECEMBER 12, 2023

If a human writes software to generate prompts that in turn generate an image, is that copyrightable? What should copyright law mean in the age of artificial intelligence? The word “teaching” arguably invests too much humanity into what is still software and silicon.) How do we make sense of this?

Artificial Intelligence 99

Artificial Intelligence Media Google Processing 99

All Things Distributed

JUNE 30, 2017

When we set out to build Amazon Connect, we thought deeply about how artificial intelligence could be applied to improve the customer experience. AWS Lambda functions made the corresponding calls to the database and scheduling software, making sure that the interaction happened quickly and at extremely low cost.

Artificial Intelligence 128

Artificial Intelligence Lambda AWS Virtualization 128

Abhishek Tiwari

JULY 8, 2023

The Evolution of Testing and Monitoring Historically, software testing and system monitoring have been separate processes, each serving distinct purposes. Testing was primarily performed during the development lifecycle to identify and fix bugs, errors, and other issues before releasing the software to users.

Monitoring 52

Monitoring Testing Artificial Intelligence Traffic 52

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Faster and higher-quality software releases.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Testsigma

DECEMBER 20, 2019

Software Testing has changed a lot! Earlier, manual testing ruled the world of testing, however, test automation increasingly became a reality in most organizations developing software. Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general. trillion in 2021.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

Dynatrace

JULY 2, 2019

This is especially true when Dynatrace replaces an older generation of monitoring software. Once the failure is detected, Davis our artificial intelligence engine will decide whether the issue should be reported or not. A small number of HTTP 500 errors in red were detected due to a connectivity issue with the database.

Tuning 115

Tuning Artificial Intelligence Code Java 115

O'Reilly

NOVEMBER 28, 2023

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

O'Reilly

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Trends in software architecture, infrastructure, and operations.

Software Architecture 132

Software Architecture DevOps Data Engineering Architecture 132

Testsigma

JULY 14, 2020

According to Wikipedia, Data-Driven Testing(DDT) is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded. Database tables.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

O'Reilly

OCTOBER 17, 2023

Designing and writing software systems that generate prompts automatically. It’s arguable whether this should be called “engineering”; at this point, it’s more of an art than an applied science. This is probably the definition that Agarwal has in mind. Could the basics be learned in a couple of hours?

Programming 99

Programming Education Engineering Design 99

O'Reilly

OCTOBER 31, 2019

It does not mean that cryptography is broken, or that we can achieve general artificial intelligence, or anything of the sort. Most of what we do on our computers—fancy graphics, email, databases, building websites, data analysis, digital signal processing—can’t be done with quantum computing.

Artificial Intelligence 53

Artificial Intelligence Google Software Architecture Cloud 53

Abhishek Tiwari

DECEMBER 13, 2017

This is a question recently asked and explored by a team of Google researchers led by Jeff Dean with a major focus on database indexes. Jeff is a Google Senior Fellow in the Google Brain team and widely known as a pioneer in artificial intelligence (AI) and deep learning community.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

O'Reilly

MARCH 23, 2023

Maybe it’s surprising that ChatGPT can write software, maybe it isn’t; we’ve had over a year to get used to GitHub Copilot, which was based on an earlier version of GPT. What Software Are We Talking About? It isn’t hard to connect it to speech synthesis and speech-to-text software. It has helped to write a book. It’s much more.

Google 103

Google Open Source Programming Code 103

O'Reilly

JULY 25, 2023

I really wanted to go beyond these quick gut reactions that I’ve seen so much of online, so I tried using ChatGPT for a few weeks to help me implement a hobby software project and took notes on what I found interesting. That’s because once the software environment has been set up (e.g., using “22” for the year 2022). and chrono-node.

Programming 98

Programming Code Design Benchmarking 98

O'Reilly

MARCH 12, 2024

Software has been making a similar transition. Applications have obviously been getting more complex; backends with databases, middleware, and complex front-end frameworks have all become part of our world. Observability is the first step in a “transistor-like” approach to building software.

Software 16

Software Software Monitoring Programming 16