Scalegrid

FEBRUARY 8, 2024

Speedier access to stored information within distributed storage is achieved by leveraging software-defined storage solutions and strategies like sharding or distributing sections of large databases and improving scalability by dividing tasks among many servers.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week.

Serverless 243

Serverless Efficiency Lambda Azure 243

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. With the help of log monitoring software, teams can collect information and trigger alerts if something happens that affects system performance and health. billion in 2020 to $4.1

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

Dynatrace

OCTOBER 4, 2022

This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets. Data lakehouses take advantage of low-cost object stores like AWS S3 or Microsoft Azure Blob Storage to store and manage data cost-effectively. Data management.

Artificial Intelligence 208

Artificial Intelligence Storage Analytics Government 208

Dynatrace

OCTOBER 30, 2023

Consolidate log management tools into a unified observability platform As businesses increasingly shift toward software-centric models, the number of specialized IT monitoring tools to manage cloud environments has proliferated.

Best Practices 243

Best Practices Analytics Artificial Intelligence Infrastructure 243

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 134

Software Architecture DevOps Data Engineering Architecture 134

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. Observability is also a critical capability of artificial intelligence for IT operations (AIOps).

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Scalegrid

JANUARY 12, 2024

Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. This includes zero-day vulnerabilities and software weaknesses that are not yet known and can be exploited without warning. What is an example of a workload?

Cloud 130

Cloud Virtualization Storage Efficiency 130

O'Reilly

NOVEMBER 28, 2023

Advanced Data Analysis does a decent job of exploring and analyzing datasets—though we expect data analysts to be careful about checking AI’s output and to distrust software that’s labeled as “beta.” They will simply be part of the environment in which software developers work.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

Testsigma

MAY 19, 2021

These may include operating systems and other software on the machine. PaaS not only provides the infrastructure (as in IaaS) but also the framework to build, test and deploy complete software on the cloud. Software as a Service (SaaS). You can also integrate Testsigma with Amazon AWS and Microsoft Azure. Source: Twitter.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Faster and higher-quality software releases. AI assistance enables teams to automate operations, release software faster, and deliver better business outcomes.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148