Dynatrace

MARCH 6, 2024

The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs. Platform engineering: Build for self-service Self-service deployment is a key attribute of platform engineering. Service-level objectives (SLOs) are similarly important.

Engineering 248

Engineering Development DevOps Infrastructure 248

Dynatrace

JANUARY 4, 2024

This data context becomes the foundation for training AI algorithms with unbiased, accurate, secure, and timely data. Dynatrace collects and analyzes large amounts of observability and security data. Dynatrace makes sure that we continually test Davis AI to ensure repeatability and ability to deliver deterministic results.

Artificial Intelligence 242

Artificial Intelligence Strategy Traffic Virtualization 242

Dynatrace

DECEMBER 14, 2023

Continuous delivery demands continuous security. To make continuous delivery possible, observability and security need to go hand in hand. In today’s rapidly evolving business and technology landscape, organizations often prioritize the speed of development over security.

AWS 270

AWS Innovation Speed Efficiency 270

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. Additionally, it can enable the creation of templates from these configurations, which teams can easily share between projects and services. Standards for consistency.

Engineering 190

Engineering Development Infrastructure Cloud 190

Dynatrace

NOVEMBER 3, 2023

With growing multicloud complexity and the need for organization-wide scalability, self-service and automation capabilities have become increasingly essential for developer productivity. A platform encompasses a set of tools, services, and infrastructure that enables developers to build, test, and deploy software applications.

Engineering 220

Engineering DevOps Software Engineering Scalability 220

Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. It involves carefully examining the test results from the previous testing phase. Configure an action for the Site Reliability Guardian in the workflow.

DevOps 211

DevOps Metrics Engineering Analytics 211

Dynatrace

FEBRUARY 12, 2024

Government Toward Zero Trust Cybersecurity Principles , have increased federal IT and security leaders’ urgency to implement zero trust (ZT). Zero trust (ZT) mandates never trusting—but always verifying—any actor, system, network, or service operating outside or within the security perimeter, according to the OMB memo.

Government 187

Government Analytics Network Traffic 187

Dynatrace

OCTOBER 2, 2023

Microservices applications comprise independent services that teams develop, deploy, and maintain separately. Because they’re separate, they allow for faster release cycles, greater scalability, and the flexibility to test new methodologies and technologies. remove the dependency on the monolith after all testing is successful.

Architecture 240

Architecture Artificial Intelligence Cloud Open Source 240

Dynatrace

JANUARY 16, 2023

The rapid adoption is driven—and challenged by—an ever-growing ecosystem of Kubernetes technologies that add advanced platform features, such as security, microservice communications, observability, scaling, resource utilization, and so on. The strongest Kubernetes growth areas are security, databases, and CI/CD technologies.

Open Source 348

Open Source Java Operating System Programming 348

Dynatrace

MARCH 14, 2023

Amazon’s new general-purpose Linux for AWS is designed to provide a secure, stable, and high-performance execution environment to develop and run cloud applications. AL2023 is supported by Dynatrace on day one and has been thoroughly tested by our installations team. How does Dynatrace help?

AWS 288

AWS Lambda Serverless Virtualization 288

Dynatrace

APRIL 22, 2024

Software development tasks include testing and quality assurance (QA), security, coding, debugging, CI/CD pipeline configuration, and documentation. Causal AI models the cause-and-effect relationship between variables to help with areas that include personalization, testing, optimization, policy impact assessment, and more.

Software 172

Software Software Artificial Intelligence Development 172

Dynatrace

SEPTEMBER 13, 2023

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.

AWS 255

AWS Efficiency Azure Cloud 255

Dynatrace

SEPTEMBER 14, 2023

Operational resilience has become a key goal in the financial services industry, especially in the U.K. That’s because over the past several years, financial services firms have become more innovative in their use of technology. 67% of CIOs in financial services say their environment’s complexity is too great for humans to manage.

Tuning 233

Tuning DevOps Innovation Testing 233

Dynatrace

APRIL 19, 2023

Customer lifetime value (CLV) has long been established as the key metric financial services firms use to gauge their profitability and competitive position in the market. Dynatrace’s latest research polled 300 IT leaders within financial services and banking institutions. Where do financial services leaders go from here?

Innovation 211

Innovation DevOps Strategy Speed 211

Dynatrace

FEBRUARY 15, 2023

Powered by Grail and the Dynatrace AutomationEngine , Site Reliability Guardian helps DevOps platform teams make better-informed release decisions by utilizing all the contextual observability and application security insights of the Dynatrace platform. This is where Site Reliability Engineering (SRE) practices are applied.

DevOps 226

DevOps Latency Traffic Best Practices 226

Dynatrace

MARCH 29, 2024

Five of the most common include cluster instability, resource and cost management, security, observability, and stress on engineering teams. “There are lots of moving parts and ripple effects that can happen when you run your services on Kubernetes. “Stability is a big issue,” Mayr said.

Engineering 234

Engineering DevOps Operating System Open Source 234

DZone

OCTOBER 18, 2023

Web services have taken on a crucial role in the foundation of many applications and systems in the modern digital environment. Web services are necessary for seamless data exchange and effective communication between various software components, whether it be an e-commerce platform, a banking application, or a social media network.

Social Media 141

Social Media Testing Media Strategy 141

Dynatrace

DECEMBER 5, 2023

Securities and Exchange Commission (SEC) adopted rules that require all public organizations to disclose any material cybersecurity incidents that they experience. This blog provides explains the SEC disclosure and what it means for application security, best practices, and how your organization can prepare for the new requirements.

Best Practices 259

Best Practices Government C++ Education 259

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. AI models integrated into cloud systems offer flexibility, enable agile methodologies, and ensure secure systems.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

APRIL 19, 2023

Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.

Design 200

Design Storage Programming Analytics 200

Dynatrace

JULY 31, 2023

Developers are increasingly responsible for ensuring the quality and security of code throughout the software lifecycle. Debugging in production often requires shutting down services. Traditional tools and approaches, however, only allow debugging in pre-production environments.

Code 216

Code Artificial Intelligence Government Performance Testing 216

Dynatrace

JANUARY 18, 2023

From site reliability engineering to service-level objectives and DevSecOps, these resources focus on how organizations are using these best practices to innovate at speed without sacrificing quality, reliability, or security. SLOs represent the health of a particular service. What are SLOs? What are SLOs?

DevOps 206

DevOps Best Practices Innovation Strategy 206

DZone

SEPTEMBER 6, 2022

It is a fact that software testing is time and resources consuming. Testing the software can be observed from different perspectives. It can be divided based on what we are testing. should be tested. Moreover, we may test the code based on the user and functional requirements or specifications, i.e., black-box testing.

Testing 246

Testing Programming Design Code 246

Dynatrace

JUNE 15, 2023

Cloud application security is becoming more of a critical issue as cloud-based applications gain popularity. However, the same characteristics that make cloud-native applications nimble and agile can also introduce a variety of cloud application security risks. What is cloud application security?

Cloud 184

Cloud Open Source Architecture Monitoring 184

Dynatrace

MARCH 26, 2024

However, considering the White House’s 2023 Executive Order issuing guidance and directives for AI in government agencies, Dr. Hamilton stressed the importance of properly testing the technology’s possibilities in a safe learning environment. and/or its affiliates in the U.S. and internationally and is used herein with permission.

Government 191

Government Artificial Intelligence Energy Education 191

Dynatrace

OCTOBER 16, 2023

Synthetic testing simulates real-user behaviors within an application or service to pinpoint potential problems. Here’s a look at why this testing matters, how it works, and what companies need to get the most from this approach. What is synthetic testing? RUM, meanwhile, requires actual users.

Testing 216

Testing Best Practices Testing Tools Monitoring 216

Dynatrace

JANUARY 26, 2024

But up to now, FedRAMP has been viewed as a bottleneck process that delays the delivery of cloud services, which ultimately hurts modernization efforts. The user group participants emphasized the need for extensive testing in AI implementation. This aligns with the broader objective of responsible AI development and deployment.

Government 220

Government Artificial Intelligence Innovation Programming 220

Dynatrace

FEBRUARY 10, 2022

While digital transformation initiatives have obvious advantages for organizations, they also bring growing complexity to technology and digital services teams. Now, Security, DevOps, and SRE teams can automate their delivery pipeline. Optimize your Kubernetes clusters to maximize service performance with Akamas.

Artificial Intelligence 235

Artificial Intelligence DevOps Azure Cloud 235

Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services.

AWS 207

AWS Cloud Lambda Analytics 207

Dynatrace

MAY 21, 2021

If you are wondering what a service mesh is and whether you would benefit from having one, you likely have a mature Kubernetes environment running large cloud-native applications. A service mesh can solve these problems, but it can also introduce its own issues. What is a service mesh? Why do you need a service mesh?

Traffic 250

Traffic DevOps Infrastructure Network 250

Dynatrace

JANUARY 13, 2022

Reducing fragmentation enables DevOps and site reliability engineering (SRE) teams to work in a unified way to ensure code quality and security. DevOps practices address the need for speed by bringing teams together to develop, test, and manage software more efficiently and securely than they had with traditional waterfall practices.

DevOps 274

DevOps Speed Artificial Intelligence Innovation 274

Dynatrace

NOVEMBER 2, 2022

Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. At the same time, the increasing role of software development in business revenue brings the importance of high-quality, secure and user-friendly software front and center. Observability.

Software 204

Software Software Artificial Intelligence DevOps 204

Dynatrace

JUNE 16, 2022

While distributed cloud-native applications improve operational stability and business agility, the increased risks of an attack have made them less secure. Securing cloud applications requires a layered approach. How RASP capabilities complement other cloud security approaches. million attacks. What is RASP?

Tuning 230

Tuning Cloud Open Source Network 230

Dynatrace

DECEMBER 6, 2022

But, manual steps — such as reviewing test results and addressing production issues resulting from performance, resiliency, security, or functional issues — often hinder these efforts. As two examples, Roman Ferstl of Triscon noted that observability-driven DevOps has helped clients achieve 15x more tests with 10x more apps tested.

DevOps 226

DevOps Metrics Engineering Speed 226

Dynatrace

DECEMBER 8, 2020

While leveraging cloud-native platforms, open-source and third-party libraries accelerate time to value significantly, it also creates new challenges for application security. Why cloud-native applications, Kubernetes, and open source require a radically different approach to application security.

Cloud 295

Cloud Open Source Internet Internet 295

Dynatrace

MAY 4, 2022

Cloud-native applications now dominate IT as DevOps teams respond to growing demands to deliver functionality faster and more securely. This complexity makes it difficult for teams to monitor services and applications, which often leads to compliance and security concerns. Organizational issues can be most frustrating.

Cloud 190

Cloud DevOps Strategy Monitoring 190

Dynatrace

APRIL 21, 2022

In a dynamic cloud environment, an organization undergoing cloud migration must go beyond the three pillars of observability by: Monitoring service level objectives (SLOs) before and after migration. To do that, organizations must evolve their DevOps and IT Service Management (ITSM) processes. Operational excellence. Reliability.

Azure 196

Azure Monitoring Virtualization Metrics 196