Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Understand and optimize your architecture.

Serverless 234

Serverless Azure Monitoring Lambda 234

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. What is log monitoring? Log monitoring vs log analytics. Dynatrace news. billion in 2020 to $4.1 What are logs?

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.

Infrastructure 176

Infrastructure Monitoring Artificial Intelligence Open Source 176

Dynatrace

OCTOBER 26, 2020

In this blog, I want to give you two examples of internal innovation projects at Dynatrace which leverage this new API, to truly show you the power – and the fun-ness of this new metric ingest ??. The idea was inspired by an innovation day project of our lab in Klagenfurt. There are many use cases for using this API.

Innovation 152

Innovation Metrics Hardware Games 152

Dynatrace

FEBRUARY 10, 2023

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

OCTOBER 17, 2023

As today’s macroeconomic environments grow increasingly competitive, organizations are under pressure to reduce costs and speed products to market. Vincent Lascoux, chief operating officer at Odigo, at Dynatrace Innovate in Barcelona. The company had 85 monitoring tools—15 of which were application monitoring tools. “We

Innovation 178

Innovation Monitoring Network Strategy 178

Dynatrace

JANUARY 23, 2024

Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. The goal of the practice is to reduce manual effort and redundant tasks to allow developers to spend more time innovating.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. That can be difficult when the business climate can prioritize speed. By analyzing data on activity in real-time, teams can unlock the insights developers need to accelerate innovation. Dynatrace news.

Serverless 261

Serverless Infrastructure Innovation DevOps 261

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Understand and optimize your architecture.

Serverless 140

Serverless Azure Monitoring Lambda 140

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate.

Cloud 174

Cloud Artificial Intelligence Innovation Analytics 174

Dynatrace

APRIL 8, 2024

Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. Produce a broad range of actionable outputs: custom applications, workflow automation, business process monitoring, notebooks, and dashboards. Monitor and neutralize insider threats from negligent or malicious employees and contractors.

Analytics 197

Analytics Infrastructure Efficiency Technology 197

Dynatrace

JUNE 26, 2023

Software automation enables digital supply chain stakeholders — such as digital operations, DevSecOps, ITOps, and CloudOps teams — to orchestrate resources across the software development lifecycle to bring innovative, high-quality products and services to market faster. Applications and microservices monitoring.

Software 184

Software Software Analytics Big Data 184

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. The architecture usually integrates several private, public, and on-premises infrastructures. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

NOVEMBER 9, 2021

2021 Gartner Peer Insights Voice of the Customer: Application Performance Monitoring. But the cloud is forcing a rethink of tooling, platforms, technologies, and services to power new, agile, applications and application components, that break down silos, and use AI and automation to accelerate innovation. APM to Observability.

DevOps 214

DevOps Innovation Cloud Programming 214

Dynatrace

MAY 23, 2022

As a result, while cloud architecture has enabled organizations to develop applications iteratively, it also increased exposure to vulnerabilities. Because of their flexibility, dynamic, ephemeral environments are more difficult to monitor in real time than traditional on-premises infrastructure. Automation for application security.

Strategy 221

Strategy Innovation Cloud Serverless 221

Dynatrace

FEBRUARY 10, 2022

Today, businesses are racing ever faster to accommodate customer demands and innovate without sacrificing product quality or security. As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage.

Artificial Intelligence 183

Artificial Intelligence Performance Innovation Speed 183

Dynatrace

DECEMBER 5, 2022

Organizations are increasingly adopting DevOps to stay competitive, innovate faster, and meet customer needs. Cloud providers enable faster delivery of new services but require new practices, including a need for closely monitoring costs. Manually managing and securing multi-cloud environments is no longer practical.

DevOps 206

DevOps Virtualization Innovation Best Practices 206

Dynatrace

FEBRUARY 12, 2024

Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. Using Dynatrace, teams can directly access their synthetic monitors and drill down into locations where, for example, execution failed because of local or global outages.

Engineering 179

Engineering Development Infrastructure Cloud 179

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. The first best practice is to consolidate log management with application monitoring in a single platform.

Best Practices 239

Best Practices Analytics Artificial Intelligence Infrastructure 239

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.

Cloud 183

Cloud DevOps Open Source Retail 183

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. IT operations teams need ways to monitor infrastructure, even if it’s not within their data centers and under their direct management.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

APRIL 10, 2023

The need for transaction speed in the face of increasing digital customer demand According to Bollampally, the company’s on-premises infrastructure couldn’t support the consolidated reporting it needed while responding to customers’ increasing demand for online shopping. For each on-premises application, Tractor Supply Co.

Cloud 168

Cloud Ecommerce Performance Retail 168

Dynatrace

AUGUST 9, 2019

By looking at the responses, we found that teams fall into one of three categories: Innovators: CCT between 1 hour – 2 days. With other words, while an Innovator can launch a new feature, or part of a feature, within an hour, a Laggard, in a best-case scenario, would need almost two weeks to complete the same task.

Speed 115

Speed Innovation DevOps Cloud 115

Dynatrace

MAY 31, 2023

The practice uses continuous monitoring and high levels of automation in close collaboration with agile development teams to ensure applications are highly available and perform without friction. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

Best Practices 219

Best Practices DevOps Latency Metrics 219

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 tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

AUGUST 29, 2022

Monitor post-release validation: Validation monitoring is not yet finished, even after fixes. It is essential to monitor all changes upon completing the release validation. Post-release validation monitoring will help developers understand any new issues and whether validation corrections positively impact the latest release.

DevOps 205

DevOps Benchmarking Cloud Monitoring 205

Dynatrace

MAY 4, 2022

This complexity makes it difficult for teams to monitor services and applications, which often leads to compliance and security concerns. Because cloud-native technologies are flexible and scale automatically, teams can replace manual application monitoring and testing methods to keep pace with innovation.

Cloud 179

Cloud DevOps Strategy Monitoring 179

Dynatrace

JUNE 13, 2022

But with this speed, agility, and innovation come new challenges. In recent years, the number of vulnerabilities has overtaken the ability to effectively monitor IT environments manually. Instead, they need to enlist software intelligence to monitor their systems end to end to identify and prioritize remediation efforts.

Open Source 218

Open Source DevOps Java Innovation 218

Dynatrace

OCTOBER 17, 2022

Teams can address testing and deployment issues automatically, which streamlines continuous integration and continuous delivery pipelines and increases innovation throughput. It triggers the fault-tree analysis, so you begin analyzing with the monitored entity to which the metric belongs — the application. Analyze the data.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. Common questions include: Where do bottlenecks occur in our architecture? How can we optimize for performance and scalability?

Analytics 246

Analytics Open Source Serverless Architecture 246

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. Accelerates innovation. Speeds incident response. Dynatrace news. Testing for mishaps you can predict is essential. Advances collaboration.

Engineering 221

Engineering Entertainment Cloud Infrastructure 221

Dynatrace

SEPTEMBER 12, 2019

ACM is the culmination of our best practices and learning that we share every day with our customers to help them automate their enterprise, innovate faster, and deliver better business ROI. Market disruptions spark innovation and radical change. Embracing disruption and sparking innovation — the new way. The vision.

Games 159

Games Cloud Best Practices Innovation 159

Dynatrace

JUNE 1, 2022

Vulnerability management continues to be a key concern as organizations strive to innovate more rapidly and adopt cloud-native technologies to achieve their goals. But with cloud-based architecture comes greater complexity and new vulnerability challenges. CISOs want—but lack — visibility into runtime threats.

Artificial Intelligence 177

Artificial Intelligence Java Strategy Cloud 177

Dynatrace

JULY 22, 2020

Dynatrace supports full-stack monitoring for Kubernetes, from the application down to the infrastructure layer. However, if you don’t have access to the infrastructure layer, Dynatrace also provides the option of application-only monitoring. Can mount a volume to speed up injection for subsequent pods. Looking ahead.

Government 163

Government Innovation Strategy Speed 163

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. Software and data are a company’s competitive advantage.

Analytics 187

Analytics Software Software Storage 187

Dynatrace

OCTOBER 14, 2021

A full-featured deterministic AIOps solution should lead to faster, higher-quality innovation, increased IT staff efficiency, and vastly improved business outcomes. Disparate interfaces still require manual intervention and analysis, and in this way, traditional AIOps solutions have essentially become event monitoring tools.

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208