Dynatrace

MAY 23, 2022

In addition, as businesses of all kinds adopt cloud-native and open source technologies, their environments become more flexible. However, these technologies can add to the complexity. However, using traditional monitoring approaches with these technologies only compounds these vulnerability blind spots. Learn more.

Strategy 232

Strategy Innovation Cloud Serverless 232

Dynatrace

JULY 5, 2022

As organizations look to speed their digital transformation efforts, automating time-consuming, manual tasks is critical for IT teams. For many organizations, adopting new technologies can add to management and monitoring challenges, which can slow the pace of transformation. Maximum ROI on all hybrid cloud technologies.

Artificial Intelligence 294

Artificial Intelligence Cloud Innovation Strategy 294

Dynatrace

NOVEMBER 22, 2021

Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources. To address these issues, organizations that want to digitally transform are adopting cloud observability technology as a best practice. What is AIOps?

AWS 235

AWS Lambda Artificial Intelligence Serverless 235

Dynatrace

APRIL 6, 2022

As organizations grapple with mounting cloud complexity, IT teams know they must identify and respond to evolving issues across the entire technology stack—from mainframes to multicloud environments. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies.

DevOps 238

DevOps Innovation Infrastructure Analytics 238

Dynatrace

JANUARY 31, 2022

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. Shift-left speeds up development efficiency and reduces costs by detecting and addressing software defects earlier in the development cycle before they get to production. Read eBook now!

DevOps 205

DevOps Testing Monitoring Speed 205

Dynatrace

OCTOBER 14, 2022

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. As technological complexity and risks increase, human-only approaches prove insufficient. As a result, they’re often used interchangeably.

Artificial Intelligence 183

Artificial Intelligence DevOps Analytics Cloud 183

Dynatrace

FEBRUARY 23, 2022

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed.

Serverless 274

Serverless Infrastructure Innovation DevOps 274

Dynatrace

OCTOBER 16, 2023

Users often interact with technologies in unpredictable ways that could reveal previously unknown issues. Web-performance testing Web-performance testing evaluates metrics including page loading speed, the performance of specific page elements, and the occurrence rate of site errors. The post What is synthetic testing?

Testing 217

Testing Best Practices Testing Tools Monitoring 217

Dynatrace

JUNE 6, 2023

According to the 2022 Dynatrace CIO Report , the average organization uses 10 monitoring tools across its technology stack due to silos and inability to scale. Moreover, the average proportion of the technology stack into which organizations have end-to-end observability is 9%. If DevOps hasn’t solved the silo problem, is DevOps dead?

DevOps 168

DevOps Engineering Innovation Best Practices 168

Dynatrace

MAY 8, 2023

User experience monitoring Also known as synthetic monitoring, user experience monitoring is a practice and technology that simulates the actions users might take when using an application. User experience monitoring generates simulated behavior patterns across different scenarios, such as geography, device type, and time of day.

DevOps 228

DevOps Efficiency Monitoring Infrastructure 228

Dynatrace

NOVEMBER 20, 2023

While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. It’s being recognized around the world as a transformative technology for delivering productivity gains. What is artificial intelligence?

AWS 217

AWS Artificial Intelligence Analytics Cloud 217

Dynatrace

OCTOBER 17, 2022

However, as organizations adopt more cloud-native technologies, such as containerized microservices and serverless platforms, operations have become exponentially more complex. A huge advantage of this approach is speed. AIOps use cases. The goal of AIOps is to automate operations across the enterprise.

DevOps 205

DevOps Artificial Intelligence Healthcare Innovation 205

Dynatrace

MARCH 16, 2021

The research firm predicts a significant uptick in AIOps investments over the next two years as organizations look for ways to improve IT outcomes, without breaking budgets or overworking technology staff. The challenge? Consider data from our recent 2020 Global CIO Report , which found that 86. Reduced IT spend. million each year.

Artificial Intelligence 200

Artificial Intelligence Open Source Cloud Analytics 200

Tasktop

JUNE 20, 2022

Get the ebook on designing flow-based OKRs. Instead, key results should reflect something in the engineering team’s control, like the speed or quality of the product. For the Technology Solutions department. Our products maximize payment speed and accuracy to providers and streamline the process for patients.

Software 96

Software Software Healthcare Mobile 96

Dynatrace

MARCH 10, 2021

Today 86% of organizations are using cloud-native technologies, including hybrid, multi-cloud architectures, Kubernetes, microservices, containers – all dynamically changing. In this case, the root cause is a CPU saturation in one of the Linux hosts. There are many other areas where AI plays a powerful role.

AWS 147

AWS Cloud Artificial Intelligence Innovation 147

Dynatrace

OCTOBER 14, 2021

Only deterministic AIOps technology enables fully automated cloud operations across the entire enterprise development lifecycle. This increased automation, resilience, and efficiency helps DevOps teams speed up software delivery and accelerate the feedback loop so they can innovate faster and more confidently. Why is AIOps needed?

Artificial Intelligence 221

Artificial Intelligence DevOps Innovation Metrics 221

Dynatrace

JUNE 25, 2019

Despite these efforts and investments, most IT leaders would admit they are not solving problems fast enough and their need for speed is exponentially magnified in the digital world we live in of today. AIOps is an emerging technology practice that many organizations have started exploring. Is AIOps the answer?

Monitoring 101

Monitoring Speed Technology Technology 101

Tasktop

FEBRUARY 3, 2021

Jack Maher and Carmen DeArdo is the Best DevOps Books / eBook of the Year. The authors focus on how to build an employee and customer-obsessed culture with an organizational structure that drives speed and efficiency, while leveraging technology to enable speed to value that is faster, safer, better and cheaper,” writes DevOps.com.

DevOps 52

DevOps Education Speed Software Engineering 52

Adrian Cockcroft

NOVEMBER 18, 2019

OPN402 Firecracker open-source innovation Since Firecracker’s release at re:Invent 2018, several open-source teams have built on it, while AWS has continued investing in Firecracker’s speed. I’ll be there all week, presenting my own talks on Monday: ARC203 Innovation at Speed ?—?based

Open Source 40

Open Source AWS Lambda Serverless 40

Adrian Cockcroft

NOVEMBER 18, 2019

OPN402 Firecracker open-source innovation Since Firecracker’s release at re:Invent 2018, several open-source teams have built on it, while AWS has continued investing in Firecracker’s speed. I’ll be there all week, presenting my own talks on Monday: ARC203 Innovation at Speed ?—?based

Open Source 40

Open Source AWS Lambda Serverless 40

Testsigma

JUNE 15, 2021

Picture Credit: CA Technologies. We need more than just an automation tool for performing in-sprint testing, as in-sprint testing requires speed, accuracy, flexibility, and ease of adaptability. To speed up your maintenance efforts, Testsigma can quickly detect bugs and errors, including bottlenecks based on former error patterns.

Testing 52

Testing DevOps Mobile Testing Tools 52

Testsigma

NOVEMBER 28, 2019

SoftwareTestingHelp has been around since 2006 and has a large number of blogs, articles, courses and ebooks covering a wide variety of topics on testing, automation and development. It is a cool platform to get exposure to some real market scenarios while learning more about automation technologies at the same time.

Website 53

Website Testing Programming Automotive 53

Smashing Magazine

JUNE 28, 2021

Drew: I guess there’s always a trade-off, isn’t there with technology choices? I tend to find in technology choices, the most important thing is just to know. An ebook felt like a really good way to start. Next.js, it simplifies a lot of speed related issues and accessibility related issue. Really quick to implement.

Website 62

Website Design Open Source Software 62

Smashing Magazine

JANUARY 21, 2021

We chose to focus specifically on slow mobile devices — with slow 3G, 400ms RTT and 400kbps transfer speed, just to be on the pessimistic side of things. However, we’ve done our best to use some of the new technologies that have become available last year. checkout or job board or books/eBooks) only when needed.

Performance 145

Performance Cache Mobile Network 145