Dynatrace

APRIL 22, 2024

By participating in the DPF Program and obtaining certifications such as ISO 27001 or TISAX, Dynatrace makes reviewing and validating how Dynatrace meets your security, privacy, and compliance requirements more efficient. To learn more about Dynatrace data security and privacy, visit our Trust Center. What’s next?

Government 220

Government Programming Analytics Efficiency 220

Dynatrace

FEBRUARY 12, 2024

However, these environments can drown enterprises in data, forcing them to adopt multiple tools and services to manage and secure it. This fragmented approach adds complexity and opens the door to security vulnerabilities. An overview of the Dynatrace unified observability and security platform.

Analytics 178

Analytics Artificial Intelligence Engineering Storage 178

Dynatrace

MARCH 29, 2024

Google Cloud users will come together to learn from Google experts and partners on topics from generative AI to cloud operations and security. Dynatrace simplifies the challenges that come with cloud complexities, enabling organizations to innovate faster and more securely with unified observability and security.

Google 258

Google Innovation Cloud Analytics 258

Dynatrace

MARCH 20, 2024

Rising cloud complexity has made securing cloud-native and multicloud applications significantly more difficult. With the pace of digital transformation continuing to accelerate, organizations are realizing the growing imperative to have a robust application security monitoring process in place.

Monitoring 208

Monitoring Analytics Traffic Best Practices 208

Dynatrace

FEBRUARY 26, 2024

The winning User Flow Analytics app by Andrea Caria of Spindox introduces a visual analysis of user navigation within web, mobile, or custom applications, presented through dynamic Sankey diagrams and funnels. The User Flow Analytics app was created to address real-life business challenges.

Innovation 194

Innovation Analytics Mobile Website 194

Dynatrace

FEBRUARY 16, 2024

The growing complexity of modern multicloud environments has created a pressing need to converge observability and security analytics. Security analytics is a discipline within IT security that focuses on proactive threat prevention using data analysis. The ripple effect of increased risk compounds the problem.

Analytics 179

Analytics Engineering Cloud Traffic 179

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. However, these practices cannot stand alone.

DevOps 187

DevOps Engineering Artificial Intelligence Infrastructure 187

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 176

Azure Analytics Artificial Intelligence Innovation 176

Dynatrace

FEBRUARY 28, 2024

TISAX ® (Trusted Information Security Assessment Exchange) is a certification standard established by leading German automakers and their top suppliers. TISAX aims to ensure the security of intellectual property and uphold privacy regulations throughout the automotive supply chain.

Automotive 241

Automotive Infrastructure Analytics Innovation 241

Dynatrace

MARCH 13, 2024

The Network and Information Systems 2 (NIS2) Directive, which goes into effect in Oct 2024, aims to enhance the security of network and information systems throughout the EU. NIS2 is an evolution of the Network and Information Systems (NIS) Security Directive, which has been in effect since 2016.

Best Practices 224

Best Practices Education Strategy Analytics 224

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. Data indicates these technology trends have taken hold.

Technology 200

Technology Technology Artificial Intelligence Analytics 200

Dynatrace

JANUARY 9, 2024

public sector, always-on, fully optimized systems are imperative to safeguard our nation’s security. For more than a decade, Dynatrace has been steadfast in its commitment to achieving the highest levels of security to build on its mission to safeguard U.S. For the U.S. public sector systems and data.

Government 170

Government Healthcare Transportation Education 170

Dynatrace

FEBRUARY 10, 2023

Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. Check out the guide from last year’s event.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

MARCH 27, 2024

Overseeing SaaS security and monitoring audit logs across multiple SaaS applications is complex, which often involves building and maintaining dedicated integrations for each application that can retrieve audit logs. With Dynatrace Log Management analytics, organizations can set up alerts based on the occurrence of specific log events.

AWS 242

AWS Analytics Government Monitoring 242

Dynatrace

AUGUST 9, 2023

With up to 70% of security events going uninvestigated, security analysts need all the help they can get. After a security event, many organizations often don’t know for months (or even years) when why or how it happened. Grail can deal with any data, be it OpenTelemetry data or large-scale amounts of security data.

Analytics 215

Analytics Metrics Database Storage 215

Dynatrace

JANUARY 31, 2024

An integrated operations and security management platform for SAP and non-SAP systems has become a critical requirement for modern businesses. Unified observability for SAP and non-SAP systems on a single platform Typically, SAP systems are integrated with non-SAP systems.

Java 185

Java Analytics Best Practices Monitoring 185

Dynatrace

JANUARY 31, 2024

The exponential growth of data volume—including observability, security, software lifecycle, and business data—forces organizations to deal with cost increases while providing flexible, robust, and scalable ingest. Addressing security requirements. Understanding the context.

Analytics 192

Analytics Processing Transportation Storage 192

Dynatrace

JANUARY 31, 2024

Still, a single unmonitored host can become a weak link , causing system failures and security breaches. To address this need, companies are investing in unified observability and security platforms to consolidate and prevent tool sprawl. The new Discovery & Coverage app helps achieve these full monitoring coverage goals.

Analytics 170

Analytics Infrastructure Monitoring Cloud 170

Dynatrace

OCTOBER 30, 2023

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

Best Practices 239

Best Practices Analytics Artificial Intelligence Infrastructure 239

DZone

MARCH 14, 2024

In the digital age, where data breaches and cyber threats loom large, ensuring the security of your digital assets is paramount. Grafana, a leading open-source platform for monitoring and observability, has emerged as a critical player in enhancing security postures through real-time security analytics and alerts.

Analytics 161

Analytics Open Source Monitoring Metrics 161

Dynatrace

NOVEMBER 20, 2023

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. But, as resources move off premises, IT teams can lose visibility into system performance and security issues.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

FEBRUARY 1, 2024

Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.”

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

Dynatrace

DECEMBER 15, 2022

However, the growing awareness of the potential for bias in artificial intelligence will be a barrier to widespread automation in business operations, IT, development, and security. This will negate efficiency gains and hinder efforts to automate business, development, security, and operations processes. Observability trend no.

Artificial Intelligence 248

Artificial Intelligence Analytics Innovation Healthcare 248

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 184

Software Software Analytics Big Data 184

Dynatrace

NOVEMBER 3, 2023

that offers security, scalability, and simplicity of use. is important Dynatrace extensibility is foundational to the technology coverage of the Dynatrace ® platform. You can find extensions in Dynatrace Hub , activate them there, and instantly start monitoring the technologies and products you expect the Dynatrace platform to cover.

Technology 243

Technology Technology Scalability Availability 243

Dynatrace

JULY 25, 2023

Hypermodal AI, which combines predictive AI, causal AI, and generative AI, boosts productivity across operations, security, development, and business teams. It also simplifies and accelerates onboarding, configuration, and adoption of the Dynatrace platform.

Best Practices 231

Best Practices Analytics Metrics Code 231

Dynatrace

SEPTEMBER 15, 2023

Also, Dynatrace ranked #1 across all six Use Cases in the 2023 Gartner® Critical Capabilities for APM and Observability report, including the recently introduced Security Operations Use Case (4.46/5). For Dynatrace customers, relying on traditional scan-based application security tools alone can leave the front door unlocked for attackers.

Monitoring 242

Monitoring Performance Analytics DevOps 242

Dynatrace

NOVEMBER 6, 2023

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. At the same time, privacy and security have never been more critical.

Retail 255

Retail Analytics Storage Cloud 255

Dynatrace

NOVEMBER 6, 2023

As of October 2023, the Dynatrace ® platform is available on AWS in Mumbai, enabling customers to maintain a local SaaS presence in India. This means that Dynatrace customers in India can keep the data of their customers and end users in India and benefit from a comprehensive set of features that support data privacy and security.

AWS 235

AWS Azure Tuning Analytics 235

Dynatrace

NOVEMBER 7, 2023

Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Adoption of GitOps practices enables platform provisioning at scale.

Engineering 270

Engineering DevOps Best Practices Infrastructure 270

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

Engineering 237

Engineering Development DevOps Infrastructure 237

Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Let Grail do the work, and benefit from instant visualization, precise analytics in context, and spot-on predictive analytics. Observability and application security use cases rely on data.

Analytics 226

Analytics Social Media Metrics Efficiency 226

Dynatrace

FEBRUARY 26, 2024

This presentation showcased the Dynatrace Platform capabilities, leveraging contextual analytics and AI to automate problem solving across observability, security, and business functions. Examples include streamlined release validation, predictive operations, and significant reductions in security false positives.

Artificial Intelligence 190

Artificial Intelligence IoT Programming Innovation 190

Dynatrace

JUNE 6, 2023

Kubernetes has become the leading container orchestration platform for organizations adopting open source solutions to manage, scale, and automate application deployment. Kubernetes is an open source container orchestration platform for managing, automating, and scaling containerized applications. What is Kubernetes? Automated scaling.

Open Source 189

Open Source Storage Analytics Innovation 189

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 184

Analytics Artificial Intelligence Big Data Open Source 184

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. All these steps and stages slow down processes, are error-prone, and introduce additional security risks.

DevOps 180

DevOps Analytics Storage Metrics 180

Dynatrace

JANUARY 23, 2024

And security teams can use AI to proactively address potential threats to their IT environments. Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182