O'Reilly

OCTOBER 22, 2024

By which I mean it can make developers produce more. The question is whether those developers are producing something good or not. The difference between an experienced developer and a junior is that an experienced developer knows: There’s more than one good solution to every problem. This is great!

Development 135

Development Code Google Engineering 135

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

SEPTEMBER 5, 2023

They need solutions such as cloud observability — the ability to measure a system’s current state based on the data it generates—to help them tame cloud complexity and better manage their applications, infrastructure, and data within their IT landscapes. According to a recent Forbes articles, Internet users are creating 2.5

Cloud 246

Cloud Artificial Intelligence Innovation Azure 246

Dynatrace

MAY 2, 2024

Moreover, in addition to managing cloud spend and resource utilization, organizations must also now consider the cost and carbon impact of developing and using generative AI models. However, security remains a concern despite benefits such as faster development and improved productivity. What is generative AI? What is DevSecOps?

Artificial Intelligence 264

Artificial Intelligence Cloud Best Practices DevOps 264

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. Artificial intelligence, including more recent advances in generative AI , is becoming increasingly important as organizations look to modernize how IT operates.

Artificial Intelligence 246

Artificial Intelligence DevOps Strategy Open Source 246

Dynatrace

JANUARY 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Software development. Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations.

Artificial Intelligence 264

Artificial Intelligence Healthcare Retail Government 264

Dynatrace

APRIL 29, 2021

Migrating to cloud-based operations from a traditional on-premises networked system also requires artificial intelligence and end-to-end observability of the full software stack. Software factories, where software is developed and debugged, play a pivotal role in defining components of software success.

Artificial Intelligence 214

Artificial Intelligence Cloud Monitoring Education 214

Dynatrace

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. The deep visibility and insights that observability provides allow teams to take proactive measures early in the software development life cycle (SDLC).

DevOps 246

DevOps Engineering Artificial Intelligence Infrastructure 246

Dynatrace

MARCH 14, 2022

exemplifies this trend, where cloud transformation and artificial intelligence are popular topics. Artificial Intelligence for IT and DevSecOps. This perfect storm of challenges has led to the accelerated adoption of artificial intelligence, including AIOps. Gartner introduced the concept of AIOps in 2016.

Healthcare 246

Healthcare Artificial Intelligence Innovation Strategy 246

Dynatrace

NOVEMBER 24, 2020

The ultimate goal of each of these reviews is to identify gaps, quantify risk, and develop recommendations for improving the team, processes, and architecture with each of the five pillars. Common findings.

AWS 221

AWS Artificial Intelligence Best Practices Lambda 221

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 246

AWS Lambda Artificial Intelligence Serverless 246

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 Cloud 363

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 260

Artificial Intelligence Performance Innovation Speed 260

Dynatrace

JULY 31, 2023

Developers are increasingly responsible for ensuring the quality and security of code throughout the software lifecycle. Developer-first observability Adding Rookout to the Dynatrace platform will provide developers with increased code-level observability of Kubernetes-hosted production environments.

Code 246

Code Artificial Intelligence Government Performance Testing 246

Dynatrace

APRIL 26, 2022

In turn, it sets the stage for fast, functional, and reliable software development. To combat Kubernetes complexity and capitalize on the full benefits of the open-source container orchestration platform, organizations need advanced AIOps that can intelligently manage the environment. That’s where AIOps comes in.

Cloud 246

Cloud Artificial Intelligence DevOps Scalability 246

Dynatrace

MAY 1, 2023

IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights. This operational data could be gathered from live running infrastructures using software agents, hypervisors, or network logs, for example.

Analytics 246

Analytics Artificial Intelligence Big Data Open Source 246

Dynatrace

JANUARY 19, 2022

As strained IT, development, and security teams head into 2022, the pressure to deliver better, more secure software faster has never been more consequential. A key arrow in the quiver for game-changers for developing and managing modern software is automatic, intelligent observability. Dynatrace news.

Artificial Intelligence 245

Artificial Intelligence DevOps Performance Games 245

Dynatrace

NOVEMBER 2, 2022

Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines.

Software 246

Software Software Artificial Intelligence DevOps 246

Dynatrace

JANUARY 12, 2021

This helps developers understand not only what’s wrong in a system — what’s slow or broken — but also why an issue occurred, where it originated, and what impact it will have. It can empower teams to identify the effect of an incident quickly and pinpoint the cause of the specific behavior or event.

Monitoring 246

Monitoring Artificial Intelligence DevOps Serverless 246

Dynatrace

JULY 5, 2022

Artificial intelligence for IT operations (AIOps) uses machine learning and AI to help teams manage the increasing size and complexity of IT environments through automation. A truly modern AIOps solution also serves the entire software development lifecycle to address the volume, velocity, and complexity of multicloud environments.

Artificial Intelligence 325

Artificial Intelligence Cloud Innovation Strategy 325

Dynatrace

FEBRUARY 16, 2023

“As we move [observability] from optional to mandatory, we believe the solution is to provide in your ecosystems end-to-end observability,” McConnell said. “… It isn’t about looking at siloed data types, [and] it isn’t about only looking at application performance monitoring or infrastructure or real-user monitoring.

Artificial Intelligence 246

Artificial Intelligence Analytics Cloud Innovation 246

Dynatrace

MAY 17, 2023

With the launch of ChatGPT, an AI chatbot developed by OpenAI, in November 2022, large language models (LLMs) and generative AI have become a global sensation, making their way to the top of boardroom agendas and household discussions worldwide. GPTs can also help quickly onboard team members to new development platforms and toolsets.

Innovation 306

Innovation Software Software Artificial Intelligence 306

Dynatrace

SEPTEMBER 23, 2022

Indeed, according to Dynatrace data , 61% of IT leaders say observability blind spots in multicloud environments are a greater risk to digital transformation as teams lack an easy way to monitor their infrastructure end to end. Log management and analytics have become a particular challenge.

Cloud 245

Cloud Artificial Intelligence Innovation Architecture 245

Dynatrace

DECEMBER 15, 2022

We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure. What is ITOps? What does IT operations do?

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

Dynatrace

OCTOBER 14, 2021

Artificial intelligence for IT operations (AIOps) is an IT practice that uses machine learning (ML) and artificial intelligence (AI) to cut through the noise in IT operations, specifically incident management. Dynatrace news. But what is AIOps, exactly? And how can it support your organization? What is AIOps?

Artificial Intelligence 246

Artificial Intelligence DevOps Innovation Metrics 246

Dynatrace

DECEMBER 2, 2020

I&O, DevOps, and SRE teams can then leverage that data to investigate anomalies, engage in observability-driven development, and improve system performance and up-time. As Gartner notes, observability is not just the result of implementing advanced tools, but an inbuilt property of an application and its supporting infrastructure.

DevOps 231

DevOps Monitoring Cloud Artificial Intelligence 231

Dynatrace

APRIL 22, 2024

In response to the scale and complexity of modern cloud-native technology, organizations are increasingly reliant on automation to properly manage their infrastructure and workflows. DevOps automation eliminates extraneous manual processes, enabling DevOps teams to develop, test, deliver, deploy, and execute other key processes at scale.

DevOps 246

DevOps Artificial Intelligence Government Innovation 246

Dynatrace

NOVEMBER 15, 2021

Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. This includes troubleshooting issues with software, services, and applications, and any infrastructure they interact with, such as multicloud platforms, container environments, and data repositories.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

JULY 6, 2022

With ever-evolving infrastructure, services, and business objectives, IT teams can’t keep up with routine tasks that require human intervention. Developing automation takes time. This kind of automation can support key IT operations, such as infrastructure, digital processes, business processes, and big-data automation.

Artificial Intelligence 246

Artificial Intelligence Tuning Strategy Big Data 246

Dynatrace

NOVEMBER 5, 2019

Combined, these integration points cover the full application stack from infrastructure monitoring to end-user experience. This enriches the data by providing cloud infrastructure metrics, metadata exposed by Azure combined with the data captured by Dynatrace OneAgent. How does Dynatrace fit in? So, who cares, and why?

Azure 198

Azure Artificial Intelligence Metrics Innovation 198

Dynatrace

SEPTEMBER 21, 2022

Site reliability engineering seeks to bridge the gap between developers and operations teams, embedding reliability and resiliency into each stage of the software development lifecycle. Choosing the right platform – one with automation and artificial intelligence at the core – is the next important step.

Artificial Intelligence 264

Artificial Intelligence Benchmarking DevOps Engineering 264

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. In a unified strategy, logs are not limited to applications but encompass infrastructure, business events, and custom metrics.

Best Practices 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

Dynatrace

JANUARY 26, 2021

AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. The developer uploads the function and configuration for how to run the function to the cloud. Developers stay focused on developing technologies rather than the underpinnings of applications.

Serverless 246

Serverless Efficiency Lambda Azure 246

Dynatrace

FEBRUARY 1, 2024

From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. Performance analytics Dynatrace hypermodal AI empowers development teams to dig deep into database statements and remediate issues quickly. AI implementations are no exception.

Artificial Intelligence 246

Artificial Intelligence Analytics Efficiency Database 246

Dynatrace

JULY 18, 2022

The OpenTelemetry project was created to address the growing need for artificial intelligence-enabled IT operations — or AIOps — as organizations broaden their technology horizons beyond on-premises infrastructure and into multiple clouds. Grainger created a developer portal with application starter kits for monitoring.

Artificial Intelligence 246

Artificial Intelligence Open Source Analytics Monitoring 246

KeyCDN

FEBRUARY 22, 2023

Smart developers are always looking ahead for ways to adapt to 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 frontend web development trends to keep an eye on in 2023. Source: web.dev 2.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

NOVEMBER 6, 2023

Observability and application security have become essential for organizations as they embrace cloud-native development and migrate more workloads to Microsoft Azure,” said Alvaro Celis, VP of Solutions Areas for ISV Sales at Microsoft.

Azure 245

Azure Analytics Artificial Intelligence Innovation 245