Dynatrace

DECEMBER 3, 2024

The rapid evolution of cloud technology continues to shape how businesses operate and compete. This year’s AWS re:Invent will showcase a suite of new AWS and Dynatrace integrations designed to enhance cloud performance, security, and automation.

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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 190

Azure Analytics Artificial Intelligence Innovation 190

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 199

Analytics Artificial Intelligence Big Data Open Source 199

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. Clair said.

Analytics 192

Analytics Engineering Cloud Traffic 192

Dynatrace

JANUARY 17, 2023

Kubernetes teams lack simple, consistent, vendor-agnostic architectures for analyzing observability signals across teams. Second, embracing the complexity of OpenTelemetry signal collection must come with a guaranteed payoff: gaining analytical insights and causal relationships that improve business performance.

Analytics 291

Analytics Metrics Open Source Java 291

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes.

Analytics 244

Analytics Artificial Intelligence Storage Serverless 244

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 analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 220

Analytics Monitoring Artificial Intelligence DevOps 220

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. All this data is then consumed by Dynatrace Davis® AI for more precise answers, thereby driving AIOps for cloud-native environments.

Analytics 246

Analytics Open Source Serverless Architecture 246

DZone

MARCH 8, 2024

In today's fast-paced digital landscape, organizations are increasingly embracing multi-cloud environments and cloud-native architectures to drive innovation and deliver seamless customer experiences.

Analytics 331

Analytics Innovation DevOps Architecture 331

Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

FEBRUARY 15, 2023

As organizations adopt more cloud-based technologies, the increased volume and variety of data from these ecosystems drive complexity. To tame this complexity and optimize cloud operations, teams across the organization need to manage and explore their data effectively. Here are some examples: IT infrastructure and operations.

Analytics 130

Analytics Storage Cloud DevOps 130

Scalegrid

JANUARY 8, 2024

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. 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.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

DECEMBER 5, 2023

Without observability, the benefits of ARM are lost Over the last decade and a half, a new wave of computer architecture has overtaken the world. ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use.

Architecture 275

Architecture Efficiency Energy Monitoring 275

Dynatrace

FEBRUARY 16, 2023

Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Kubernetes makes spans longer,” Ortner explains.

Analytics 196

Analytics Innovation Metrics Database 196

Dynatrace

OCTOBER 4, 2022

Much of the software developed today is cloud native. However, cloud infrastructure has become increasingly complex. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. The next frontier: Data and analytics-centric software intelligence. Real-time anomaly detection.

Analytics 202

Analytics Software Software Storage 202

Dynatrace

JUNE 15, 2023

Cloud application security is becoming more of a critical issue as cloud-based applications gain popularity. The cloud allows a modular approach to building applications, enabling development and operations teams to create and deploy feature-rich apps very quickly. What is cloud application security?

Cloud 187

Cloud Open Source Architecture Monitoring 187

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 209

AWS Cloud Lambda Analytics 209

Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

Serverless 187

Serverless Architecture Open Source Innovation 187

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. 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.

Cloud 187

Cloud Artificial Intelligence Innovation Architecture 187

Dynatrace

DECEMBER 2, 2024

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Moreover, teams are constantly dealing with continuously evolving cyberthreats to data both on premises and in the cloud.

Artificial Intelligence 147

Artificial Intelligence DevOps Architecture Cloud 147

Dynatrace

NOVEMBER 29, 2024

Dynatrace continues to deliver on its commitment to keeping your data secure in the cloud. What’s next Next, the enhanced data separation and encryption features are planned for release to all customers on Azure and then to all customers on Google Cloud.

Storage 200

Storage AWS Azure Architecture 200

Dynatrace

MAY 23, 2022

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?

Architecture 205

Architecture DevOps Monitoring Programming 205

Dynatrace

APRIL 10, 2023

Managing cloud performance is increasingly challenging for organizations that spread workloads across a greater variety of platforms. And according to recent data from Enterprise Strategy Group, 59% of survey respondents indicated spending on public cloud applications would increase in 2023. ” Three years ago, Tractor Supply Co.

Cloud 180

Cloud Ecommerce Performance Retail 180

Dynatrace

DECEMBER 21, 2023

How can you reduce the carbon footprint of your hybrid cloud? Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. energy-efficient data centers—cloud providers—achieve values closer to 1.2. Is the solution to just move all workloads to the cloud? Want to learn more?

Cloud 220

Cloud Energy Best Practices Cache 220

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 163

Analytics Technology Technology Cloud 163

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture.

Cloud 197

Cloud DevOps Open Source Retail 197

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. 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.

Cloud 147

Cloud Artificial Intelligence Innovation Architecture 147

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Connecting data siloes requires daunting integration endeavors.

Cloud 262

Cloud Azure Analytics Open Source 262

Dynatrace

SEPTEMBER 28, 2020

I am excited to announce that ISG analysts positioned Dynatrace highest for portfolio attractiveness and competitive strength in the Cloud-Native Observability Solutions Quadrant. . Dynatrace’s deep understanding of enterprises’ cloud-native needs stand s out .

Cloud 246

Cloud Serverless Innovation Architecture 246

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Having all data in context tremendously simplifies analytics and problem detection.

Architecture 177

Architecture Availability Infrastructure Metrics 177

Scalegrid

JANUARY 11, 2024

What does it take to secure your cloud assets effectively? Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. Software automation is the practice of creating software applications to reduce or eliminate human intervention in repetitive, time-consuming IT tasks and cloud operations. What is software analytics?

Software 198

Software Software Analytics Big Data 198

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. Grail architectural basics. Work with different and independent data types.

Artificial Intelligence 276

Artificial Intelligence Analytics Storage Architecture 276

Dynatrace

JULY 29, 2024

Security concerns are soaring with the rise of generative AI and cloud-native tech. The AI boom is pushing DevSecOps teams across industries to the limit as they struggle to secure increasingly complex cloud applications against expanding attack surfaces. AI observability accelerates AI benefits.

Analytics 186

Analytics Government DevOps Efficiency 186

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. The choice of self-managed cloud databases vs DBaaS is a common debate among those who are looking for the best option that will cater to their particular needs.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

JANUARY 31, 2024

Monitoring SAP products can present challenges Monitoring SAP systems can be challenging due to the inherent complexity of using different technologies—such as ABAP, Java, and cloud offerings—and the sheer amount of generated data. This is why Dynatrace is extending its observability capabilities for SAP with PowerConnect for SAP.

Java 200

Java Analytics Best Practices Monitoring 200