Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Suppose a single Grail environment is central storage for pre-production and production systems.

Artificial Intelligence 266

Artificial Intelligence Analytics Metrics Storage 266

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. Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. billion in 2020 to $4.1 What is log monitoring?

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Scalegrid

MARCH 14, 2024

Developing Your Hybrid Cloud Strategy When devising a strategy for a hybrid cloud, numerous critical elements must be considered. Scalegrid for Hybrid Cloud Success Securing a reliable ally is essential in the intricate journey of developing hybrid clouds.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

KeyCDN

MARCH 14, 2019

Smart developers are always looking ahead for ways to adapt in the ever changing world of web development. Staying on top of the latest web development trends could eventually help you land a job that doesn’t exist yet. Here is a roundup of front end web development trends to keep an eye on in 2019.

Development 101

Development Blockchain Serverless Social Media 101

Scalegrid

JANUARY 8, 2024

The company utilizes public cloud resources such as Amazon Web Services (AWS) for streaming purposes and maintains on-premises infrastructure for content creation and processing. Hybrid Cloud Use Case: Netflix In contrast, Netflix, a leader in the streaming market, has opted for a hybrid cloud model to enhance its services.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

OCTOBER 1, 2021

Many organizations also adopt an observability solution to help them detect and analyze the significance of events to their operations, software development life cycles, application security, and end-user experiences. Observability is also a critical capability of artificial intelligence for IT operations (AIOps).

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

High Scalability

JUNE 22, 2018

But it turns out that the Orbiters' photos were actually super-high-rez, shot on 70mm film and robotically developed inside the orbiters, with the negs raster-scanned at 200 lines/mm and transmitted to ground stations using. Eitally : there are a few critical differences between GCP and AWS or Azure. and it is fast!

Internet 113

Internet Internet Scalability Artificial Intelligence 113

Scalegrid

JANUARY 12, 2024

Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. Executing cutting-edge intelligent apps’ deployment after successful training becomes much easier thanks primarily to this functionality made possible!

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. There’s plenty of security risks for business executives, sysadmins, DBAs, developers, etc., to be wary of. Figure 1 (above). Figure 3 (above).

Software Architecture 132

Software Architecture DevOps Data Engineering Architecture 132

Dynatrace

JUNE 1, 2021

Application performance monitoring focuses on specific metrics and measurements; application performance management is the wider discipline of developing and managing an application performance strategy. Business benefits include: Improved developer and operational productivity. Application monitoring. Application performance.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. Training models and developing complex applications on top of those models is becoming easier.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

Testsigma

MAY 19, 2021

A process that was developed to automate the processes from build creation to deployment and maybe everything in between. DevOps and cloud-based solutions mingle in such a synchronous manner, it seems like they were developed to support each other even though this is not true in any aspect. Why Opt For Cloud-Based Solutions and DevOps?

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59