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

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

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. The data should cover both quantitative metrics (e.g., Embrace advanced analytics techniques to unlock deeper insights.

Best Practices 264

Best Practices Analytics Strategy Monitoring 264

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

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. If you’ve read about observability, you likely know that collecting the measurements of logs, metrics, and distributed traces are the three key pillars to achieving success.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

OCTOBER 4, 2022

The only way to address these challenges is through observability data — logs, metrics, and traces. 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. Enter Grail-powered data and analytics.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

DECEMBER 2, 2024

Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable. One study found that 93% of companies have a multicloud strategy to enable them to use the best qualities of each cloud provider for different situations.

Artificial Intelligence 258

Artificial Intelligence DevOps Architecture Cloud 258

The Netflix TechBlog

SEPTEMBER 18, 2020

Analytics at Netflix: Who We Are and What We Do An Introduction to Analytics and Visualization Engineering at Netflix by Molly Jackman & Meghana Reddy Explained: Season 1 (Photo Credit: Netflix) Across nearly every industry, there is recognition that data analytics is key to driving informed business decision-making.

Analytics 242

Analytics Engineering Data Engineering Tuning 242

Dynatrace

MARCH 18, 2021

DevOps metrics and digital experience data are critical to this. Yet for the hospitality sector, the adoption of digital strategies has not been so obvious. Bringing teams together around DevOps metrics made it easier for M&B to identify how it could create better digital experiences for its customers and optimize revenue.

DevOps 264

DevOps Metrics Virtualization Strategy 264

Dynatrace

AUGUST 9, 2023

A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. As our experience with MOVEit shows, IoCs that remained hidden in logs alone quickly revealed themselves with observability runtime context data, such as metrics, traces, and spans.

Analytics 246

Analytics Metrics Database Storage 246

Dynatrace

MARCH 12, 2025

Dynatrace helps enhance your AI strategy with practical, actionable knowledge to maximize benefits while managing costs effectively. Dynatrace is an all-in-one observability platform that automatically collects production insights, traces, logs, metrics, and real-time application data at scale.

Metrics 165

Metrics Serverless Analytics Innovation 165

Dynatrace

MAY 5, 2020

While Dynatrace provides software intelligence to accelerate your company’s digital transformation, web analytics tools like Adobe Analytics help you deeply understand your user journeys, segmentation, behavior, and strategic business metrics such as revenue, orders, and conversion goals. Google Analytics.

Analytics 225

Analytics Metrics Google Tuning 225

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 importance of hypermodal AI to unified observability Artificial intelligence is a critical aspect of a unified observability strategy.

Analytics 245

Analytics Artificial Intelligence Engineering Technology 245

Dynatrace

MARCH 17, 2025

But as most developers know, its the observability backend that reveals the value of your data and instrumentation strategy. Well also demonstrate how you can drill down on such problems further to identify bottlenecks within the application’s ingested distributed traces using the analytics power of Grail.

Monitoring 147

Monitoring Analytics Metrics Strategy 147

The Netflix TechBlog

FEBRUARY 14, 2025

We can experiment with different content placements or promotional strategies to boost visibility and engagement. Analytical Insights Additionally, impression history offers insightful information for addressing a number of platform-related analytics queries.

Tuning 165

Tuning Latency Efficiency Storage 165

Dynatrace

DECEMBER 13, 2023

As a result, organizations need to monitor mobile app performance metrics that are meaningful and actionable by gaining adequate observability of mobile app performance. There are many common mobile app performance metrics that are used to measure key performance indicators (KPIs) related to user experience and satisfaction.

Best Practices 246

Best Practices Mobile Metrics Performance 246

Dynatrace

AUGUST 9, 2023

In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. Dynatrace Grail  is a data lakehouse that provides context-rich analytics capabilities for observability, security, and business data.

Analytics 246

Analytics AWS Infrastructure Strategy 246

Dynatrace

NOVEMBER 12, 2020

Recently, we simplified StatsD, Telegraf, and Prometheus observability by allowing you to capture and analyze all your custom metrics. Gain fine-grained access control for Prometheus, StatsD, and Telegraf metrics. To achieve this, you can now grant access to any single metric within a Dynatrace management zone.

Metrics 246

Metrics Retail Monitoring Analytics 246

Dynatrace

MARCH 29, 2024

In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. Learn more.

Google 290

Google Innovation Cloud Analytics 290

Dynatrace

FEBRUARY 10, 2023

Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies. These are just some of the topics being showcased at Perform 2023 in Las Vegas.

Efficiency 306

Efficiency Performance Analytics DevOps 306

DZone

FEBRUARY 5, 2024

Logs can include a wide variety of data, including system events, transaction data, user activities, web browser logs, errors, and performance metrics. One of the latest advancements in effectively analyzing a large amount of logging data is Machine Learning (ML) powered analytics provided by Amazon CloudWatch.

Analytics 278

Analytics Innovation Strategy Efficiency 278

Dynatrace

SEPTEMBER 5, 2024

Let’s delve deeper into how these capabilities can transform your observability strategy, starting with our new syslog support. Customers can also proactively address issues using Davis AI’s predictive analytics capabilities by analyzing network log content, such as retries or anomalies in performance response times.

Innovation 290

Innovation AWS Analytics Storage 290

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

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace. Conclusion.

Analytics 305

Analytics Infrastructure AWS Operating System 305

Dynatrace

APRIL 10, 2023

And according to recent data from Enterprise Strategy Group, 59% of survey respondents indicated spending on public cloud applications would increase in 2023. Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., Rural lifestyle retail giant Tractor Supply Co. Further, as Tractor Supply Co.

Cloud 243

Cloud Ecommerce Performance Retail 243

Dynatrace

FEBRUARY 1, 2024

Multicloud strategy: Balancing potential with complexity in modern IT ecosystems In the ever-changing digital world, cloud technologies are crucial in driving business innovation and adaptability. While cloud deployments offer benefits, they also pose management challenges—especially in multicloud strategies that use various cloud providers.

Cloud 246

Cloud Strategy Metrics Government 246

Dynatrace

JUNE 21, 2024

How to improve digital experience monitoring Implementing a successful DEM strategy can come with challenges. It can help understand the flow of user interactions, identify areas for improvement, and drive a user experience strategy that better engages customers to meet their needs. Load event end.

Best Practices 264

Best Practices Monitoring Metrics Transportation 264

Dynatrace

MAY 24, 2024

With the insights they gained, the team expanded into developing workflow automations using log management and analytics powered by the Grail data lakehouse. Ally is an agile, modern financial services enterprise that has etched unified observability, AI, and analytics into the core of its cloud strategy.

Technology 264

Technology Technology Analytics Innovation 264

Dynatrace

MAY 17, 2022

From a cost perspective, internal customers waste valuable time sending tickets to operations teams asking for metrics, logs, and traces to be enabled. The foundation of this flexibility is the Dynatrace Operator ¹ and its new Cloud Native Full Stack injection deployment strategy. This approach is costly and error prone.

Availability 348

Availability Scalability Cloud Metrics 348

Scalegrid

JANUARY 21, 2025

Buckle up as we delve into the world of Redis monitoring, exploring the most important Redis metrics, discussing essential tools, and even peering into the future of Redis performance management. Identifying key Redis metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

CSS Wizardry

NOVEMBER 3, 2020

Historically, I’d maybe look at Google Analytics—or a RUM solution if the client had one already—but this is only useful for showing me particular outliers, and not necessarily any patterns across the whole project. Any time you run a test with WebPageTest, you’ll get this table of different milestones and metrics. See entry 6.

Speed 337

Speed Ecommerce Metrics Analytics 337

Dynatrace

NOVEMBER 20, 2023

However, with a generative AI solution and strategy underpinning your AWS cloud, not only can organizations automate daily operations based on high-fidelity insights pulled into context from a multitude of cloud data sources, but they can also leverage proactive recommendations to further accelerate their AWS usage and adoption.

AWS 277

AWS Artificial Intelligence Cloud Analytics 277

Dynatrace

JULY 1, 2020

These are all interesting metrics from marketing point of view, and also highly interesting to you as they allow you to engage with the teams that are driving the traffic against your IT-system. All you need to do is create five custom metrics – one per continent. The multi-dimensional analytics in the screenshot below is an example.

Traffic 264

Traffic Analytics Metrics Servers 264

Dynatrace

DECEMBER 16, 2022

In the report, Forrester evaluated 11 providers, scoring them with categories that include Current Offering, Strategy, and Market Presence. Dynatrace received the highest scores in the Current Offering and Strategy categories of 4.23 and 4.40, respectively. Let’s dig into these categories a bit more. Dynatrace’s key takeaways.

Artificial Intelligence 264

Artificial Intelligence Strategy Infrastructure Monitoring 264

Dynatrace

JULY 22, 2024

Observability Observability is the ability to determine a system’s health by analyzing the data it generates, such as logs, metrics, and traces. There are three main types of telemetry data: Metrics. Metrics are typically aggregated and stored in time series databases for monitoring and alerting purposes.

Latency 264

Latency Best Practices Metrics Open Source 264

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. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 246

DevOps Analytics Storage Metrics 246

Dynatrace

DECEMBER 9, 2020

Dynatrace is fully committed to the OpenTelemetry community and to the seamless integration of OpenTelemetry data , including ingestion of custom metrics , into the Dynatrace open analytics platform. To address these types of challenges, organizations typically introduce third-party libraries and frameworks like Hazelcast IMDG.

Java 264

Java Traffic Architecture Strategy 264