Dynatrace

FEBRUARY 4, 2025

Its AI-driven exploratory analytics help organizations navigate modern software deployment complexities, quickly identify issues before they arise, shorten remediation journeys, and enable preventive operations. AI-driven analytics transform data analysis, making it faster and easier to uncover insights and act.

Analytics 130

Analytics Efficiency DevOps Innovation 130

Dynatrace

AUGUST 14, 2023

As user experiences become increasingly important to bottom-line growth, organizations are turning to behavior analytics tools to understand the user experience across their digital properties. Here’s what these analytics are, how they work, and the benefits your organization can realize from using them.

Analytics 246

Analytics Social Media Website IoT 246

Dynatrace

JANUARY 17, 2023

This results in site reliability engineers nudging development teams to add resource attributes, endpoints, and tokens to their source code. 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 321

Analytics Metrics Open Source Java 321

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 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

Dynatrace

AUGUST 20, 2024

Executives invest in Dynatrace to enable their IT operations, security, and development teams to maintain visibility into all their digital services and ensure flawless, secure digital interactions. Executives drive business growth through strategic decisions, relying on data analytics for crucial insights.

Analytics 285

Analytics Latency Processing Systems 285

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. Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. What is log analytics?

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

SEPTEMBER 27, 2023

What is customer experience analytics: Fostering data-driven decision making In today’s customer-centric business landscape, understanding customer behavior and preferences is crucial for success. By gathering a range of data, organizations can develop a holistic view of customer journeys and uncover meaningful patterns and trends.

Best Practices 264

Best Practices Analytics Strategy Monitoring 264

Dynatrace

DECEMBER 3, 2024

This blog post will explore these exciting developments and what they mean for organizations. By automating OneAgent deployment at the image creation stage, organizations can immediately equip every EC2 instance with real-time monitoring and AI-powered analytics.

AWS 298

AWS Cloud Performance Innovation 298

Dynatrace

FEBRUARY 9, 2021

When it comes to mobile monitoring, everyone has their own point of view… Mobile is not a single technology: it involves different development teams handling Android and iOS apps, performance engineering teams, cloud operations, and marketing. How do I connect the dots between mobile analytics and performance monitoring?

Analytics 276

Analytics Mobile Performance Monitoring 276

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 246

Analytics Storage Retail DevOps 246

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 246

Analytics Artificial Intelligence Big Data Open Source 246

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 245

Analytics Storage Retail DevOps 245

Dynatrace

OCTOBER 4, 2024

Today, development teams suffer from a lack of automation for time-consuming tasks, the absence of standardization due to an overabundance of tool options, and insufficiently mature DevSecOps processes. This leads to frustrating bottlenecks for developers attempting to build and deliver software.

Software 278

Software Software Development Performance 278

Dynatrace

FEBRUARY 14, 2022

Mobile app monitoring and mobile analytics make this possible. By providing insight into how apps are operating and why they crash, mobile analytics lets you know what’s happening with your apps and what steps you can take to solve potential problems. What is mobile analytics? Why use mobile analytics and app monitoring?

Mobile 245

Mobile Analytics Monitoring Best Practices 245

Dynatrace

OCTOBER 4, 2022

Much of the software developed today is cloud native. Organizations need to unify all this observability, business, and security data based on context and generate real-time insights to inform actions taken by automation systems, as well as business, development, operations, and security teams. Enter Grail-powered data and analytics.

Analytics 246

Analytics Software Software Storage 246

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 245

Azure Analytics Artificial Intelligence Innovation 245

Dynatrace

AUGUST 9, 2023

A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. Additionally, Runtime Application Protection provides the ability to protect from attacks while giving development teams much-needed time to remediate these vulnerabilities.

Analytics 246

Analytics Metrics Database Storage 246

Dynatrace

JULY 29, 2021

With extended contextual analytics and AIOps for open observability, Dynatrace now provides you with deep insights into every entity in your IT landscape, enabling you to seamlessly integrate metrics, logs, and traces—the three pillars of observability. Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

FEBRUARY 2, 2023

Exploding volumes of business data promise great potential; real-time business insights and exploratory analytics can support agile investment decisions and automation driven by a shared view of measurable business goals. Traditional observability solutions don’t capture or analyze application payloads. What’s next?

Analytics 246

Analytics Metrics DevOps Storage 246

Dynatrace

NOVEMBER 29, 2024

Administrators who work with developers and product managers responsible for instrumenting, managing, and achieving the business goals of applications benefit from Dynatrace log management. Log management with adherence to industry-specific compliance requirements is more critical than ever. Want to learn more?

Healthcare 237

Healthcare Analytics Storage Government 237

Dynatrace

NOVEMBER 20, 2024

Membership in MISA is nomination-only and reserved for independent software vendors who develop security solutions that effectively integrate with MISA-qualifying Microsoft Security products. They can automatically identify vulnerabilities, measure risks, and leverage advanced analytics and automation to mitigate issues.

Best Practices 299

Best Practices Innovation Azure Cloud 299

Dynatrace

JUNE 28, 2022

Although most organizations invest in innovative mobile app development, not many allocate enough resources toward delivering and measuring the high-quality user experiences customers expect. Mobile analytics can help organizations optimize their mobile application performance, earning customer accolades and increasing revenue in the process.

Mobile 246

Mobile Analytics Best Practices Software Engineering 246

Dynatrace

NOVEMBER 29, 2024

Protect data in multi-tenant architectures To bring you the most value by unifying observability and security in one analytics and automation platform powered by AI, Dynatrace SaaS leverages a multitenancy architecture, enabling efficient and scalable data ingestion, querying, and processing on shared infrastructure.

Storage 246

Storage AWS Azure Architecture 246

Dynatrace

OCTOBER 29, 2024

The Dynatrace platform automatically captures and maps metrics, logs, traces, events, user experience data, and security signals into a single datastore, performing contextual analytics through a “power of three AI”—combining causal, predictive, and generative AI. The result?

Innovation 288

Innovation Cloud Strategy AWS 288

Dynatrace

APRIL 17, 2024

EasyTrade Analytics is a hypothetical stockbroker app developed by two members of the Platform enablement team, Sinisa Zubic and Edu Campver. This face-to-face interaction helped stimulate great conversation with the attendees and allowed us to go deeper into relevant topics of app development and help them get the most from the class.

Development 245

Development Performance Airlines Healthcare 245

Dynatrace

MARCH 24, 2025

Her strategic approach to talent management, diversity and inclusion, and organizational development has created an atmosphere that empowers each Dynatracer to excel. “Creating an environment where every individual can thrive is my passion, said Sue Quackenbush.

Innovation 200

Innovation Strategy Analytics Development 200

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 goal is to abstract away the underlying infrastructure’s complexities while providing a streamlined and standardized environment for development teams.

Engineering 264

Engineering Development DevOps Infrastructure 264

InfoQ

NOVEMBER 18, 2024

Uber uses Presto, an open-source distributed SQL query engine, to provide analytics across several data sources, including Apache Hive, Apache Pinot, MySQL, and Apache Kafka. To improve its performance, Uber engineers explored the advantages of dealing with quick queries, a.k.a.

Analytics 78

Analytics Open Source Engineering Performance 78

Dynatrace

FEBRUARY 24, 2025

Sometimes overlooked is a fourth category we might call long-tail processes; these are the ad hoc or custom workflows that develop in response to gaps between systems, applications, departments, or workflows. These benefits come from robust process analytics, often augmented by AI.

Processing 147

Processing Analytics Infrastructure Monitoring 147

Scalegrid

FEBRUARY 6, 2025

Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. Its architecture supports stream transformations, joins, and filtering, making it a powerful tool for real-time analytics. Apache Kafka, designed for distributed event streaming, maintains low latency at scale.

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

OCTOBER 16, 2024

Accelerate data exploration with seamless integration between apps In developing the new Dynatrace experience, our goal was to integrate apps seamlessly by sharing the context when navigating between them (known as “intent”), much like sharing a photo from your smartphone to social media.

Social Media 263

Social Media Metrics Network Analytics 263

Dynatrace

FEBRUARY 12, 2024

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Real-time detection for fast remediation.

Engineering 246

Engineering Development Infrastructure Cloud 246

Dynatrace

NOVEMBER 18, 2024

Seek out solutions that leverage real-time analytics to automatically understand how application and infrastructure conditions are changing, where new demand is coming from, and when service-level objectives are not being met.

Strategy 243

Strategy Innovation Cloud Efficiency 243

Scalegrid

MAY 13, 2020

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. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JANUARY 22, 2025

Improving collaboration across teams By surfacing actionable insights and centralized monitoring data, Dynatrace fosters collaboration between development, operations, security, and business teams. Once the data is formatted, it is ingested into Dynatrace Business Analytics using the Dynatrace SDK.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

Dynatrace

MARCH 17, 2025

This enables our customers to empower their teams to achieve more with data and get the most out of Dynatrace, the only analytics and automation platform powered by causal AI: Business teams can deliver experiences customers love and increase conversions by up to 25%.

Analytics 147

Analytics Innovation Network Efficiency 147

DZone

JUNE 7, 2023

ERP systems are crucial in modern software development because they integrate various organizational departments and functions. ERP systems offer standardized processes, enabling developers to accelerate development cycles and align with industry best practices.

Systems 182

Systems Software Software Development 182