Dynatrace

FEBRUARY 4, 2025

In this blog post, we will see how Dynatrace harnesses the power of observability and analytics to tailor a new experience to easily extend to the left, allowing developers to solve issues faster, build more efficient software, and ultimately improve developer experience!

Development 235

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DZone

JULY 31, 2024

This article sets out to explore some of the essential tools required by organizations in the domain of data engineering to efficiently improve data quality and triage/analyze data for effective business-centric machine learning analytics, reporting, and anomaly detection.

Data Engineering 287

Data Engineering FinTech Engineering Analytics 287

Dynatrace

APRIL 29, 2021

Whilst our traditional Dynatrace website predominantly showcases Dynatrace content and product information for visitors, the idea behind the creation of our new Engineering website – engineering.dynatrace.com – was to set up a space to feature the results of our research and innovation efforts and aims to be a site made by engineers for engineers.

Engineering 264

Engineering Open Source Website Innovation 264

Dynatrace

MAY 28, 2024

Dynatrace automatically puts logs into context Dynatrace Log Management and Analytics directly addresses these challenges. Log analytics simplified: Deeper insights, no DQL required Your team will immediately notice the streamlined log analysis capabilities below the histogram. This context is vital to understanding issues.

Analytics 267

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Dynatrace

JULY 25, 2024

I spoke with Martin Spier, PicPay’s VP of Engineering, about the challenges PicPay experienced and the Kubernetes platform engineering strategy his team adopted in response. The company receives tens of thousands of requests per second on its edge layer and sees hundreds of millions of events per hour on its analytics layer.

Strategy 264

Strategy Engineering Open Source Java 264

Dynatrace

MAY 5, 2021

In fact, for most of us, has become a priority, requiring us to expand our focus on observability to include business analytics metrics. With Dynatrace Business Analytics , you know in real-time when business KPIs–conversions, quotes, payments, registrations, purchases, etc.–degrade. Below is the survey summary. Want to learn more?

Analytics 246

Analytics Metrics Engineering Design 246

Dynatrace

FEBRUARY 28, 2024

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. Discovery using global search.

Analytics 246

Analytics Metrics Media Monitoring 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

FEBRUARY 12, 2024

With unified observability and security, organizations can protect their data and avoid tool sprawl with a single platform that delivers AI-driven analytics and intelligent automation. The Davis AI engine uses a hypermodal approach to bring together causal, predictive, and generative AI.

Analytics 245

Analytics Artificial Intelligence Engineering Technology 245

Dynatrace

FEBRUARY 18, 2020

On the other side of the organization, application owners have hired teams of analysts to dig through web analytics tools to gain insights into the customer experience. Welcome to Dynatrace Digital Business Analytics. What does this mean and how can you unlock Digital Business Analytics? Digital Business Analytics in action.

Analytics 272

Analytics Retail Metrics Mobile 272

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 246

Analytics Software Software Storage 246

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. During their breakout session, Byrne and St. I can keep track of where I went.

Analytics 246

Analytics Engineering Cloud Traffic 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 246

Analytics Storage Retail DevOps 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

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, 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. Current analytics tools are fragmented and lack context for meaningful analysis. Effective analytics with the Dynatrace Query Language.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

Dynatrace

DECEMBER 18, 2024

Exploratory analytics now cover more bespoke scenarios, allowing you to access any element of test results stored in the Dynatrace Grail data lakehouse. All metrics and events storing information about execution details are available for further exploratory analytics utilizing Dashboards, Notebooks, or Davis CoPilot.

Monitoring 246

Monitoring Testing Metrics Analytics 246

DZone

JULY 14, 2021

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

Analytics 223

Analytics Software Engineering Performance Database 223

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

AUGUST 29, 2024

This information is essential for later advanced analytics and aircraft tracking. They provide detailed information that, when sent to Dynatrace, enables data analytics and improved decision-making capabilities. It accounts for the Earth’s curvature and is helpful in determining great-circle distances between two locations.

IoT 264

IoT Analytics Transportation Metrics 264

Dynatrace

AUGUST 26, 2020

We are proud to s hare Dynatrace has been named the winner in the “ Best Overall AI-based Analytics Company ” category, recognized for our innovation and the business-driving impact of our AI engine, Davis. . The post Dynatrace wins AI Breakthrough Award for Davis AI engine appeared first on Dynatrace blog.

Engineering 306

Engineering DevOps Innovation AWS 306

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

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.

Engineering 306

Engineering DevOps Best Practices Infrastructure 306

Dynatrace

JANUARY 12, 2022

We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. – DevOps Engineer, large healthcare company. The post New analytics capabilities for messaging system-related anomalies appeared first on Dynatrace blog. This is great! New to Dynatrace?

Analytics 246

Analytics Systems DevOps Healthcare 246

Dynatrace

JUNE 28, 2022

Mobile analytics can help organizations optimize their mobile application performance, earning customer accolades and increasing revenue in the process. Learn how one Dynatrace customer leveraged mobile analytics to ensure a crash-free, five-star mobile application. Add instrumentation and validate incoming mobile analytics data.

Mobile 246

Mobile Analytics Best Practices Software Engineering 246

Dynatrace

NOVEMBER 20, 2024

They can automatically identify vulnerabilities, measure risks, and leverage advanced analytics and automation to mitigate issues. The Davis AI engine automatically and continuously delivers actionable insights based on an environment’s current state.

Best Practices 299

Best Practices Innovation Azure Cloud 299

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

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. Platform engineering: Build for self-service Self-service deployment is a key attribute of platform engineering. “It makes them more productive.

Engineering 264

Engineering Development DevOps Infrastructure 264

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. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 246

DevOps Engineering Artificial Intelligence Infrastructure 246

The Netflix TechBlog

JULY 15, 2021

Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin Wylie is a Data Engineer on the Content Data Science and Engineering team.

Data Engineering 197

Data Engineering Engineering Entertainment Big Data 197

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 77

Analytics Open Source Engineering Performance 77

Dynatrace

OCTOBER 16, 2024

These ready-made dashboards offer your platform engineers, who oversee Kubernetes environments, immediate and comprehensive data visibility. This allows platform engineers to focus on high-value tasks like resolving issues and optimizing performance rather than spending time on data discovery and exploration.

Social Media 263

Social Media Metrics Network Analytics 263

The Netflix TechBlog

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 206

Data Engineering Engineering Entertainment Software Engineering 206

DZone

NOVEMBER 17, 2022

Here is where machine learning (ML) systems and predictive analytics enter: to end ambiguity. Most times, we already know the output even though it needs to be better defined — less ambiguous with clear boundaries of where a regression falls.

Engineering 262

Engineering Performance Analytics Testing 262

Dynatrace

FEBRUARY 12, 2024

When it comes to platform engineering, not only does observability play a vital role in the success of organizations’ transformation journeys—it’s key to successful platform engineering initiatives. The various presenters in this session aligned platform engineering use cases with the software development lifecycle.

Engineering 246

Engineering Development Infrastructure Cloud 246

Dynatrace

MAY 28, 2020

In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. This opens up new analytics use case to e.g: The post Tutorial: Guide to automated SRE-driven performance engineering appeared first on Dynatrace blog. Dynatrace news. test name, test step.

Engineering 270

Engineering Performance Metrics Best Practices 270

Dynatrace

MAY 23, 2024

Stream processing enables software engineers to model their applications’ business logic as high-level representations in a directed acyclic graph without explicitly defining a physical execution plan. We designed experimental scenarios inspired by chaos engineering. Chaos scenario: Random pods executing worker instances are deleted.

Engineering 245

Engineering Tuning Latency Open Source 245