Dynatrace

NOVEMBER 20, 2023

Causal AI is an artificial intelligence technique used to determine the precise underlying causes and effects of events. Using What is artificial intelligence? So, what is artificial intelligence? To solve this problem, organizations can use causal AI and predictive AI to provide that high-quality input.

AWS 203

AWS Artificial Intelligence Analytics Cloud 203

Dynatrace

FEBRUARY 10, 2022

The need for automation and orchestration across the software development lifecycle (SDLC) has increased, but many DevOps and SRE (site reliability engineering) teams struggle to unify disparate tools and cut back on manual tasks. As a result, development teams: Reduce the time to production from 10-15 days to less than 60 minutes.

Artificial Intelligence 223

Artificial Intelligence DevOps Azure Cloud 223

Dynatrace

FEBRUARY 16, 2023

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. That’s why teams need a modern observability approach with artificial intelligence at its core. “We We start with data types—logs, metrics, traces, routes.

Artificial Intelligence 186

Artificial Intelligence Analytics Cloud Innovation 186

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. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. Pay Per Use.

Serverless 241

Serverless Efficiency Lambda Azure 241

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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 255

Artificial Intelligence Analytics Metrics Storage 255

Scalegrid

FEBRUARY 8, 2024

Amazon S3 and Microsoft Azure Blob Storage leverage distributed storage solutions. Massively Scalable Storage Services Microsoft Azure Blob Storage and Amazon S3 harness the power of distributed storage to ensure they can handle unstructured data efficiently.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

OCTOBER 30, 2023

Application performance monitoring (APM) , infrastructure monitoring, log management, and artificial intelligence for IT operations (AIOps) can all converge into a single, integrated approach. This means that a developer and a business user can access the same data to ask different questions and gain unique insights.

Best Practices 236

Best Practices Analytics Artificial Intelligence Infrastructure 236

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 202

Analytics Monitoring Artificial Intelligence DevOps 202

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. Adding to the complexity are containers–tools for cloud development—which can be ephemeral. Dynatrace is making the value of AI real.

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

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

InfoQ

JULY 20, 2023

Microsoft recently announced the general availability (GA) of Azure Managed Lustre, a managed file system for high-performance computing (HPC) and AI workloads. By Steef-Jan Wiggers

Azure 40

Azure Availability Systems Performance 40

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

Scalegrid

JANUARY 8, 2024

Whether it’s AWS CloudFormation, Microsoft Azure Automation, or IBM Cloud Orchestrator, these technologies simplify the management of hybrid cloud infrastructure by automating complex processes. These tools automate management tasks, ensuring efficient workflows across various environments.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

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

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

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

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 134

Software Architecture DevOps Data Engineering Architecture 134

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 108

Open Source Artificial Intelligence Google Infrastructure 108