Dynatrace

NOVEMBER 15, 2022

Following the launch of Dynatrace® Grail for Log Management and Analytics , we’re excited to announce a major update to our Business Analytics solution. Since they rely on capabilities designed for IT monitoring, they inherit a series of architectural design constraints that limit their usefulness.

Analytics 219

Analytics Mobile Metrics Games 219

Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. You no longer need to split, distribute, or pre-aggregate your data.

Analytics 218

Analytics Social Media Metrics Efficiency 218

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 223

Analytics Artificial Intelligence Storage Serverless 223

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 178

Analytics Artificial Intelligence Big Data Open Source 178

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? Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 245

Analytics Open Source Serverless Architecture 245

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Finally, teams can coordinate more effectively using a single source of data intelligence with collaborative analytics capabilities.

Analytics 130

Analytics Storage Cloud DevOps 130

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 198

Analytics Monitoring Artificial Intelligence DevOps 198

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.

Efficiency 255

Efficiency Architecture Energy Monitoring 255

Dynatrace

OCTOBER 4, 2022

IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. With a data and analytics approach that focuses on performance without sacrificing cost, IT pros can gain access to answers that indicate precisely which service just went down and the root cause. Real-time anomaly detection.

Analytics 180

Analytics Software Software Storage 180

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Logs on Grail Log data is foundational for any IT analytics. Grail and DQL will give you new superpowers.”

Analytics 176

Analytics Innovation Metrics Database 176

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

Dynatrace

JANUARY 12, 2022

In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. Finally, you can configure and activate them there. New to Dynatrace?

Analytics 176

Analytics Systems DevOps Healthcare 176

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 186

Architecture DevOps Monitoring Programming 186

DZone

JULY 14, 2021

Authors: Ruoxi Sun (Tech Lead of Analytical Computing Team at PingCAP). TiDB is a Hybrid Transaction/Analytical Processing (HTAP) database that can efficiently process analytical queries. Fei Xu (Software Engineer at PingCAP).

Analytics 223

Analytics Software Engineering Performance Database 223

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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 168

Serverless Architecture Open Source Innovation 168

Dynatrace

DECEMBER 18, 2020

App architecture. First, let’s explore the architecture of these apps: BizOpsConfigurator. Now we have performance and errors all covered: Business Analytics. Digital Business Analytics can help answer those questions. Contact your Dynatrace Sales Engineer for a demo or POC of DEM and Business Analytics.

Analytics 134

Analytics Metrics IoT Monitoring 134

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 161

Architecture Availability Infrastructure Metrics 161

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

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 257

Artificial Intelligence Analytics Storage Architecture 257

DZone

NOVEMBER 7, 2023

This article delves into the paradigm shift from traditional to real-time data integration, examines its architectural nuances, and contemplates its profound impact on decision-making and business processes. The new norm is real-time data integration, and it’s transforming the way companies make decisions and conduct their operations.

Systems 292

Systems Analytics Architecture Engineering 292

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 177

Software Software Analytics Big Data 177

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 151

Analytics Technology Technology Cloud 151

DZone

OCTOBER 11, 2022

Simpler UI Testing with CasperJS ( Architects Zone – Architectural Design Patterns & Best Practices). Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices). Google Analytics Becomes A Robust Testing Platform With Content Experiments API ( Google Analytics Blog).

Java 244

Java Best Practices Google Analytics 244

Uber Engineering

SEPTEMBER 2, 2021

One … The post Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework appeared first on Uber Engineering Blog. Uber’s GSS (Global Scaled Solutions) team runs scaled programs for diverse products and businesses, including but not limited to Eats, Rides, and Freight.

Analytics 143

Analytics AWS Programming Scalability 143

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This is simply not possible with conventional architectures.

Artificial Intelligence 197

Artificial Intelligence Storage Analytics Government 197

Dynatrace

JANUARY 31, 2024

The comprehensive functionality is highly customizable, facilitating a seamless presentation of any SAP metric in the context of SAP systems, business architecture, and all SAP-integrated systems. Notebooks and dashboards enable users, including developers, to create data-driven documents for custom analytics. Architectural overview.

Java 178

Java Analytics Best Practices Monitoring 178

Dynatrace

OCTOBER 4, 2022

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. Further, these resources support countless Kubernetes clusters and Java-based architectures. where an error occurred at the code level.

Analytics 209

Analytics Storage Infrastructure Metrics 209

Dynatrace

FEBRUARY 12, 2024

In protecting critical data and resources, ZT also establishes continuous multi-factor authentication, micro-segmentation, encryption, endpoint security, automation, and analytics, per the Department of Defense (DoD) Zero Trust Reference Architecture. “In

Government 170

Government Analytics Network Traffic 170

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. Research has found that 99% of organizations have embraced a multicloud architecture.

DevOps 174

DevOps Analytics Storage Metrics 174

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. High-quality operational data in a central data lakehouse that is available for instant analytics is often teams’ preferred way to get consistent and accurate answers and insights. That’s where causal AI can help.

Government 190

Government Analytics Benchmarking Storage 190

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 264

Efficiency Performance Analytics DevOps 264

Dynatrace

JULY 11, 2023

By ingesting OTLP logs into Dynatrace, you can utilize the Grail™ data lakehouse and its massively-parallel processing analytics engine. Native support for OpenTelemetry (OTLP) logs also supports enterprises that have highly diverse technical architectures.

Open Source 203

Open Source Analytics Metrics Cloud 203

Dynatrace

APRIL 19, 2024

Automate disk resizing operations with Davis AI predictive analytics The Dynatrace Site Reliability Engineering (SRE) team was looking for a way to automatically adjust disk space for cloud volumes on a regular basis to avoid over- or under-provisioning them. Figure 3: Funnel analysis implemented by selecting a custom user journey.

AWS 209

AWS Analytics Cloud Monitoring 209

Dynatrace

APRIL 8, 2024

Power business analytics with Dynatrace Banks that can deploy vertically integrated risk management solutions will deliver unprecedented agility, precision, and control for risk management functions. Combine traditional fraud detection techniques with data science and analytics to combat financial crime more effectively.

Analytics 189

Analytics Infrastructure Efficiency Technology 189

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 177

Analytics Infrastructure Storage Efficiency 177

Dynatrace

MAY 27, 2022

Kris Saling – Chief Analytics Officer for the Army Talent Management Task Force and Director of People Analytics in the office of the Assistant Secretary of the Army (Manpower and Reserve Affairs). Katy Craig – retired Navy Chief, now Adjunct Faculty at National University, and Director, Security Architecture at Aquia, Inc.

Monitoring 191

Monitoring Government Analytics Education 191