Dynatrace

MAY 16, 2019

Earlier this year, we provided the Dynatrace Autonomous Cloud Survey to over 100 organizations so that we could better understand what is holding companies back from taking the next steps in their cloud automation journey. These assessments helped us understand the need and effectiveness of automation in cloud pipelines.

Innovation 184

Innovation Cloud DevOps Best Practices 184

Dynatrace

NOVEMBER 2, 2023

But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. The increasing complexity of cloud-native technologies has placed unprecedented pressure on DevOps teams. Automation is a crucial aspect of achieving DevOps excellence.

DevOps 198

DevOps Benchmarking Azure Innovation 198

The Netflix TechBlog

MARCH 5, 2019

All these micro-services are currently operated in AWS cloud infrastructure. As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

NOVEMBER 5, 2023

As a Microsoft strategic partner, Dynatrace delivers answers and intelligent automation for cloud-native technologies and Azure. Read on to learn more about how Dynatrace delivers AI transformation to accelerate modern cloud strategies. Continue reading to learn why this is important and what it means for Azure customers.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

Dynatrace

MAY 23, 2022

In addition, as businesses of all kinds adopt cloud-native and open source technologies, their environments become more flexible. Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed.

Strategy 218

Strategy Innovation Cloud Serverless 218

Dynatrace

MARCH 10, 2021

This is exciting because we are seeing AI and ML-driven applications maturing rapidly as a way of mastering performance in hybrid, hyper-scale cloud environments. Conventional (not built for cloud) monitoring tools are not much help. And then add in that modern enterprise cloud environments are dynamic and constantly changing.

AWS 142

AWS Cloud Artificial Intelligence Innovation 142

Dynatrace

AUGUST 9, 2019

Welcome back to the blog series in which we summarize the findings of our Autonomous Cloud Management survey. Improving your team’s Commit Cycle Time means relying on efficient testing and soliciting feedback as quickly as possible. Dynatrace news. Three types of organizations by Commit Cycle Time. How to get started?

Speed 115

Speed Innovation DevOps Cloud 115

Percona

MAY 1, 2023

This blog was originally published in August 2018 and was updated in May 2023. In this blog post, we will delve into the world of PostgreSQL performance tuning and establish some basic guidelines for setting database parameters to enhance the performance of your PostgreSQL database, based on the workload.

Tuning 52

Tuning Efficiency Database Performance 52

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. These modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.

AWS 223

AWS Lambda Artificial Intelligence Serverless 223

Dynatrace

AUGUST 7, 2023

This combined approach provides reliable answers for two key purposes,” wrote Dynatrace CTO Bernd Greifeneder in a May 2023 blog post. And why runtime vulnerability detection makes the difference – blog Vulnerability management is an essential part of securing IT operations. What is DevSecOps? Learn how security improves DevOps.

DevOps 179

DevOps Analytics Best Practices Java 179

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Data silos.

Analytics 208

Analytics Storage Retail Monitoring 208

Dynatrace

OCTOBER 28, 2021

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. Chaos engineering answers this need so organizations can deliver robust, resilient cloud-native applications that can stand up under any conditions.

Engineering 218

Engineering Entertainment Cloud Infrastructure 218

Testsigma

SEPTEMBER 9, 2021

Cloud testing, in simple terms, means testing software applications using the resources provided by the cloud. Cloud testing helps an organization gain competitiveness by reducing the cost of testing. By using cloud computing services for testing, organizations or businesses can shorten the provisioning time. No set-up.

Cloud 59

Cloud Testing Mobile Scalability 59

Dynatrace

APRIL 30, 2021

Many organizations that have integrated their software development and operations into DevOps practices struggle with efficiency because they’re juggling disparate DevOps tools, or their tools aren’t meeting their needs. Here at Dynatrace, we started off with a big focus on automation and speeding up delivery. Scaling out.

DevOps 206

DevOps Speed Efficiency Engineering 206

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Data silos.

Analytics 175

Analytics Storage Retail Monitoring 175

Testsigma

MAY 14, 2021

Cloud-based testing has become quite integral these days. Most businesses have already done the shift towards cloud-based testing. With cloud-based testing, everything resides on the cloud and therefore the testing approach also changes where all testing related activities are done on the cloud and IT is delivered as a service.

Cloud 67

Cloud Testing Testing Tools Internet 67

Dynatrace

AUGUST 5, 2022

Organizations are also finding that these security tools are not up to par with the increasing speed of software delivery. It helps organizations keep up with the high velocity of software releases and the complexity of multi-cloud environments. DevSecOps automation promotes efficient processes and secure applications.

DevOps 200

DevOps Cloud Best Practices Open Source 200

Dynatrace

MARCH 14, 2022

As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation. exemplifies this trend, where cloud transformation and artificial intelligence are popular topics.

Healthcare 222

Healthcare Artificial Intelligence Innovation Strategy 222

Dynatrace

MAY 24, 2021

The combined ability of Dynatrace and our partners to address this growing TAM with efficient, high-speed land and expand deals is underpinned by the 530+ cloud services and technology integrations available on the Dynatrace Hub. Cloud Alliance Partner Award: Amazon Web Services. Rising Star Award: Evolving Solutions.

Programming 229

Programming Cloud Virtualization Technology 229

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. The post Site reliability engineering: 5 things you need to know appeared first on Dynatrace blog. Dynatrace can help.

Engineering 250

Engineering DevOps Government Latency 250

Dynatrace

FEBRUARY 28, 2022

Dynatrace has been a strategic partner for organizations across the world, enabling them to reduce the complexity of dynamic clouds with end-to-end observability , integrated AIOps , and application security. The most successful organizations manage a skilled team that knows how to accelerate throughput and drive efficiency across their SDLC.

Virtualization 193

Virtualization Education Cloud Monitoring 193

Dynatrace

JULY 12, 2022

Accordingly, for organizations developing and managing applications in the cloud, AIOps (AI for IT operations) has become a key tool to understand application performance problems, cybersecurity threats, and more. We had lost some of the visibility [in moving to the cloud],” Schirrmacher recalls. IT automation speeds code development.

Innovation 212

Innovation Infrastructure DevOps Azure 212

Dynatrace

FEBRUARY 13, 2020

We’re able to help drive speed, take multiple data sources, bring them into a common model and drive those answers at scale.”. As the number of apps and services deployed increases, teams face increased pressure to speed up native mobile app innovation and resolve app issues quicker. Next-gen Infrastructure Monitoring.

Performance 229

Performance Analytics Mobile Innovation 229

Dynatrace

MARCH 17, 2021

Today’s cloud-native applications are predominately built from open-source components, or packages, strung together with a small amount of custom code. Traditional approaches to AppSec served well for a time, but they simply can’t keep up with today’s accelerated SDLC and the complex nature of cloud-native applications.

Open Source 162

Open Source Cloud Games Java 162

Testsigma

JULY 3, 2021

Honestly, this is not time-effective at all if you’re aiming for efficiency and speed. If you configure a test environment and run into any errors, those will reflect in your test efficiency. If yes — cloud-based testing is your solution. Scalability: A cloud-based tool offers scalability.

Cloud 57

Cloud Testing Storage DevOps 57

Dynatrace

OCTOBER 20, 2020

Certified for Red Hat OpenShift, Dynatrace is now available on the Red Hat Marketplace for customers to try, buy, and deploy, to manage their enterprise applications and infrastructure across their dynamic multi-cloud environments. Driving a customer-centric approach with Red Hat OpenShift . Want to try it and see for yourself?

Automotive 150

Automotive DevOps Software Software 150

The Morning Paper

JANUARY 30, 2020

Seamless offloading of web app computations from mobile device to edge clouds via HTML5 web worker migration , Jeong et al., On the server side (in the edge or cloud) another Mobile Web Worker Manager component is responsible for managing pools of mobile workers. in the cloud). SoCC’19 [^1].

Mobile 104

Mobile Cloud Latency Games 104

Dynatrace

MAY 24, 2021

The combined ability of Dynatrace and our partners to address this growing TAM with efficient, high-speed land and expand deals is underpinned by the 530+ cloud services and technology integrations available on the Dynatrace Hub. Cloud Alliance Partner Award: Amazon Web Services. Rising Star Award: Evolving Solutions.

Programming 165

Programming Cloud Virtualization Technology 165

The Netflix TechBlog

APRIL 17, 2019

Scalable Video Technology (SVT) is Intel’s open source framework that provides high-performance software video encoding libraries for developers of visual cloud technologies. In this tech blog, we describe the relevance of this partnership to the industry and cover some of our own experiences so far. 264 standard was finalized.

Open Source 166

Open Source Scalability Speed Efficiency 166

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. The post Site reliability engineering: 5 things to you need to know appeared first on Dynatrace blog. Dynatrace can help.

Engineering 170

Engineering DevOps Government Latency 170

Dynatrace

MAY 5, 2021

At Perform 2021 , Dynatrace’s Kristof Renders, Services Practice Manager for Autonomous Cloud Enablement, joined Sumit Nagal, Principal Engineer at Intuit, to demonstrate how service-level objectives (SLOs) and business-level objectives (BLOs) can “shift left.” Using quality gates for measurable impacts.

Benchmarking 177

Benchmarking Latency Speed Software 177

Tasktop

MAY 28, 2020

“I feel the need — the need for speed” – Peter “Maverick” Mitchell . Just like the sky-soaring heroes of Top Gun, Cubic has only one speed — fast. Using Tasktop Viz, the company could see that wait time increased significantly in April and Flow Efficiency was down. The first electronic stadium scoreboard in the U.S.

Speed 52

Speed Metrics Transportation Hardware 52

Dynatrace

APRIL 15, 2021

Steve discussed how the speed of implementation was aided by utilizing Dynatrace in non-production environments to speed up the development lifecycle and ensure performance and stability once released. The post DynaWine: Transform faster with automation and AI appeared first on Dynatrace blog.

Speed 161

Speed Media Monitoring Engineering 161

Dynatrace

APRIL 30, 2021

According to the Dynatrace Autonomous Cloud survey , organizations are running into performance testing challenges in three areas: speed, quality, and scale. Challenges of scaling performance engineering affect speed, quality, and scale. Many organizations are looking for efficient ways to run more tests in less time.

Engineering 194

Engineering Testing Performance Performance Testing 194

Dynatrace

MAY 13, 2020

A perfect example of this is a recent large-scale implementation of a partner’s multi-cloud management platform that manages high-volume application workloads for a US-based energy company. The post Partner Viewpoint: 2020 Gartner Magic Quadrant for APM & 2020 Critical Capabilities for APM appeared first on Dynatrace blog.

Energy 138

Energy Innovation Analytics Monitoring 138

Testsigma

JUNE 26, 2021

In all honesty, it wasn’t always practical or simple, but with codeless test automation – test automation that does not require learning to code – testers can now focus on what’s crucial: shipping efficient products. Picture Credit: GDS blog. However, most codeless automation testing tools are cloud-based.

Testing 57

Testing Testing Tools Automotive Scalability 57

Dynatrace

JANUARY 6, 2020

We also made the point that machine learning systems can improve IT efficiency; speeding analysis by narrowing focus. But with autonomous IT operations on the horizon, it’s important to understand the path to intellectual debt and its impact on both efficiency and innovation.

Artificial Intelligence 143

Artificial Intelligence Efficiency Analytics Innovation 143