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. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

FEBRUARY 10, 2022

As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage. Consider a true self-driving car as an example of how this software intelligence works. That ushers in IT complexity.

Artificial Intelligence 185

Artificial Intelligence Performance Innovation Speed 185

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.

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

Scalegrid

JANUARY 8, 2024

Both multi-cloud and hybrid cloud models come with their advantages, like increased flexibility and secure, scalable IT infrastructure but face challenges such as management complexity and integration issues. What is Multi-Cloud? In a multi-cloud setting, enterprises utilize multiple cloud vendors to fulfill various business functions.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

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.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JANUARY 26, 2021

REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. Cloud-hosted managed services eliminate the minute day-to-day tasks associated with hosting IT infrastructure on-premises. Serverless resources are highly flexible and are customized based on the application.

Serverless 243

Serverless Efficiency Lambda Azure 243

Dynatrace

MAY 27, 2022

As a result, many IT teams are turning to artificial intelligence for IT operations (AIOps) , which integrates AI into operations to automate systems across the development lifecycle. It turns out a colleague has been adding new records to the database without archiving old ones. An example of service self-healing using Ansible.

Artificial Intelligence 186

Artificial Intelligence Innovation Servers Database 186

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. Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult.

Architecture 231

Architecture Artificial Intelligence Cloud Open Source 231

Scalegrid

DECEMBER 21, 2023

Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

O'Reilly

MARCH 26, 2024

It takes the prompt and just returns one of the most similar “training documents” it has in its database, verbatim. .” It looks like a bug, but it’s just the LLM doing what it always does. At the other end of the extreme consider a search engine. An LLM is 100% dreaming and has the hallucination problem.

Artificial Intelligence 109

Artificial Intelligence Social Media Google Internet 109

Dynatrace

DECEMBER 22, 2021

As a result, teams can gain full visibility into their applications and multicloud infrastructure. A database could start executing a storage management process that consumes database server resources. Observability platforms are becoming essential as the complexity of cloud-native architectures increases.

Artificial Intelligence 177

Artificial Intelligence Metrics Architecture DevOps 177

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

Dynatrace

JUNE 1, 2021

Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments. Improved infrastructure utilization. Reduced number of performance incidents.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

O'Reilly

JANUARY 6, 2020

They’re about learning to program in a professional context—working with a web platform, a database, or even an AI platform—but not about developing those platforms or databases. Much of the rest is wiring things together: building data pipelines, connecting the application to the serving infrastructure, providing for monitoring.

Programming 98

Programming Artificial Intelligence Education Games 98

Abhishek Tiwari

JULY 8, 2023

It can monitor not only the application itself but also the underlying infrastructure, APIs, databases, and external services. Synthetic monitoring offers end-to-end visibility across complex architectures and third-party integrations.

Monitoring 52

Monitoring Testing Artificial Intelligence Traffic 52

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

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. We’ll say more about this later.)

Open Source 107

Open Source Artificial Intelligence Google Infrastructure 107

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. Also: infrastructure and operations is trending up, while DevOps is trending down.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134