Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Research indicates that IT pros now feel the squeeze of this data explosion and cloud complexity.

Cloud 171

Cloud Artificial Intelligence Innovation Analytics 171

Dynatrace

OCTOBER 30, 2023

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. One of the keys to managing cloud costs is ensuring that operations are running efficiently. But this task has become challenging.

Engineering 239

Engineering DevOps Innovation Storage 239

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Research indicates that IT pros now feel the squeeze of this data explosion and cloud complexity.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

FEBRUARY 6, 2020

Autonomous Cloud is not another lofty marketing term. Autonomous Cloud is what enables our globally distributed development teams at Dynatrace to deliver better software faster following our NoOps approach: Fully Autonomous and as a Self-Service! Three waves of DevOps leading to Autonomous Cloud. Dynatrace news.

Cloud 184

Cloud DevOps Engineering Speed 184

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

Dynatrace

MAY 24, 2024

These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. Ally is an agile, modern financial services enterprise that has etched unified observability, AI, and analytics into the core of its cloud strategy. I’m thrilled to see what’s in store for Ally Financial.”

Technology 209

Technology Technology Analytics Innovation 209

Dynatrace

FEBRUARY 10, 2023

Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. A data lakehouse eliminates team silos and delivers faster, high-quality insights.

Efficiency 269

Efficiency Performance Analytics DevOps 269

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

MAY 31, 2023

How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

Best Practices 216

Best Practices DevOps Latency Metrics 216

Dynatrace

JUNE 26, 2023

Software automation is the practice of creating software applications to reduce or eliminate human intervention in repetitive, time-consuming IT tasks and cloud operations. It provides valuable insight into complex public, private, and hybrid cloud IT structures, systems, and frameworks. Cloud automation.

Software 181

Software Software Analytics Big Data 181

Dynatrace

OCTOBER 19, 2023

It’s more important than ever for organizations to ensure they’re taking appropriate measures to secure and protect their applications and infrastructure. DevSecOps automation DevSecOps automation is a fundamental practice that combines security with the speed and agility of DevOps.

Best Practices 202

Best Practices Benchmarking Speed Infrastructure 202

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Modern cloud complexity is becoming nearly impossible for human beings to manage without AI and automation. DevOps, SREs, developers… everyone will ask questions. The DevOps people looking end-to-end.

Development 255

Development DevOps Programming Cloud 255

Percona

DECEMBER 27, 2023

The evolution of cloud-native technology has been nothing short of revolutionary. As we step into 2024, the cornerstone of cloud-native technology, Kubernetes, will turn ten years old. Keynotes were focused on how Kubernetes and Cloud Native help businesses embrace the new AI era. We expect that number to rise higher in 2024.

Cloud 77

Cloud Open Source Strategy Best Practices 77

Dynatrace

NOVEMBER 2, 2022

As a result, many organizations have turned to DevOps (the alignment of development and operations teams) and DevSecOps (the alignment of development, security and operations teams) methodologies to enable more efficient and high-quality software development. The five elements of digital immunity. Observability. Continuous validation.

Software 189

Software Software Artificial Intelligence DevOps 189

Dynatrace

NOVEMBER 9, 2021

Figure 1 Investment shift from infrastructure-centric to application-centric. The driver for APM to Observability is the complexity cloud environments bring to organizations. The cloud is where Enterprise organizations are transforming, and dynamic multi-clouds are the platform of choice. DevOps and Cloud Ops Automation.

DevOps 211

DevOps Innovation Cloud Programming 211

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 250

Engineering DevOps Government Latency 250

Dynatrace

JUNE 13, 2022

As organizations transition to the cloud and adopt DevSecOps practices, they can move more quickly and flexibly. They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. Dynatrace news.

Open Source 215

Open Source DevOps Java Innovation 215

Dynatrace

JULY 12, 2022

AIOps and observability for infrastructure management. 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. IT automation speeds code development.

Innovation 212

Innovation Infrastructure DevOps Azure 212

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 and the importance of observability.

DevOps 200

DevOps Cloud Best Practices Open Source 200

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.

Analytics 208

Analytics Storage Retail Monitoring 208

Dynatrace

AUGUST 7, 2023

Observability for effective DevSecOps Traditional approaches to application security can fail to keep up with the complexity of cloud-native environments and rapid software release cycles. Learn how security improves DevOps. DevOps vs DevSecOps: Why integrate security and DevOps? What is DevSecOps?

DevOps 179

DevOps Analytics Best Practices Java 179

Dynatrace

JUNE 13, 2022

” This is the first year in which Gartner has expanded the scope of this category to include not only APM but also observability, illustrating the maturation of cloud observability as a discipline. It helps our team in developing software with high-quality innovation and speed.”. Dynatrace also named a Gartner Customer’s Choice.

Innovation 195

Innovation Cloud Open Source Monitoring 195

Dynatrace

AUGUST 29, 2022

Release validation is a critical DevOps practice to help ensure that code released into production is successful. DevOps practices have become key for organizations looking to scale, stay competitive, and keep up with customer demand. Dynatrace news. What is release validation? Automating release validation. Want to learn more?

DevOps 202

DevOps Benchmarking Cloud Monitoring 202

Dynatrace

AUGUST 11, 2022

In addition to modern application stacks introducing new levels of speed and complexity, they also create new security challenges. And the distinction between applications and cloud platforms is blurring. Go is one of the key technologies powering cloud-native applications and its adoption is increasing rapidly. Dynatrace news.

Java 234

Java Cloud Virtualization DevOps 234

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Why machine learning falls short in cloud-native environments. However, ML-enabled AIOps tools tend to fall short in cloud-native environments. In turn, this reduces their efficacy in cloud environments.

Artificial Intelligence 170

Artificial Intelligence DevOps Analytics Cloud 170

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.

Analytics 175

Analytics Storage Retail Monitoring 175

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

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. Accelerating DevOps processes and innovations via intelligent observability .

Automotive 150

Automotive DevOps Software Software 150

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 170

Engineering DevOps Government Latency 170

Dynatrace

SEPTEMBER 30, 2019

Kubernetes has certainly earned its reputation as a pivotal part in enterprise IT’s shift from yesterday’s monoliths to today’s more dynamic microservices, containers and multi-cloud infrastructures. Kubernetes’ native cluster and node health data help to paint a fuller picture of complex cloud environments.

DevOps 198

DevOps Innovation Cloud Speed 198

Testsigma

JUNE 23, 2021

How Testsigma Helps Speed Up Software Release Cycles? Testsigma is a cloud-based test automation platform. It is built with the intent to help the QA teams reduce their test creation, execution, and maintenance time and speed up their software release cycles. Testsigma is completely cloud-based. No setup time.

Speed 52

Speed Software Software DevOps 52

Testsigma

JULY 3, 2021

The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. Honestly, this is not time-effective at all if you’re aiming for efficiency and speed. If yes — cloud-based testing is your solution.

Cloud 57

Cloud Testing Storage DevOps 57

Dynatrace

JUNE 30, 2020

In my role as DevOps and Autonomous Cloud Activist at Dynatrace, I get to talk to a lot of organizations and teams, and advise them on how to speed up delivery while also increasing the delivery in order to minimize the impact on operations. Dynatrace news. These options give you full flexibility.

Lambda 174

Lambda Monitoring Cloud DevOps 174

Testsigma

SEPTEMBER 15, 2021

Usually, one of the most discussed possibilities while performing cross-browser testing is if we should move to a cloud-based testing tool. When we embrace the cloud, we perform end-to-end testing on the cloud itself. It means we test, analyze, collaborate, and manage bugs from within the cloud.

Cloud 79

Cloud Testing Testing Tools Website 79

Testsigma

FEBRUARY 13, 2021

For businesses to be more agile and work with an unmatchable speed, cloud testing is crucial. According to Mordor Intelligence’s industry report , the growth rate for cloud-testing tools in India and several Asian countries is going to be the highest. What Is Cloud-Based Test Automation Tool? Picture Credit: [link].

Cloud 52

Cloud Testing Testing Tools Small Business 52

Alex Podelko

DECEMBER 19, 2019

System Performance Estimation, Evaluation, and Decision (SPEED) by Kingsum Chow, Yingying Wen, Alibaba. – Performance engineering as it done at Alibaba – which emerging as a major cloud provider. How is DevOps changing the Modern Software Development Landscape? , An Evaluation of Cloud-Native Tools by Karen Hughes, BMC.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100