Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. requires Azure observability Data has become a pivotal asset in the current IT landscape, and AI has unequivocally become the linchpin for differentiation. Digital transformation 2.0

Azure 192

Azure Analytics Artificial Intelligence Innovation 192

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 201

Analytics Artificial Intelligence Big Data Open Source 201

DZone

APRIL 11, 2023

Data processing in the cloud has become increasingly popular due to its scalability, flexibility, and cost-effectiveness. This article will explore how these technologies can be used together to create an optimized data pipeline for data processing in the cloud.

Azure 246

Azure Analytics Storage Cloud 246

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. In doing so, organizations are maximizing the strategic value of their customer data and gaining a competitive advantage.

Analytics 238

Analytics Social Media Website IoT 238

Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. However, there are many obstacles and limitations along the way to becoming a data-driven organization. Understanding the context.

Analytics 203

Analytics Processing Transportation Storage 203

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

NOVEMBER 4, 2024

There’s a goldmine of business data traversing your IT systems, yet most of it remains untapped. To unlock business value, the data must be: Accessible from anywhere. Data has value only when you can access it, no matter where it lies. Agile business decisions rely on fresh data. Easy to access. Contextualized.

Analytics 157

Analytics Airlines Metrics Monitoring 157

DZone

JULY 31, 2024

However, amidst this rapid evolution, ensuring a robust data universe characterized by high quality and integrity is indispensable. While much emphasis is often placed on refining AI models, the significance of pristine datasets can sometimes be overshadowed.

Data Engineering 286

Data Engineering FinTech Engineering Analytics 286

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. But for software to work perfectly, organizations need to use data to optimize every phase of the software lifecycle. The only way to address these challenges is through observability data — logs, metrics, and traces. Teams interact with myriad data types.

Analytics 204

Analytics Software Software Storage 204

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. Organizations need a more proactive approach to log management to tame this proliferation of cloud data.

Best Practices 257

Best Practices Analytics Artificial Intelligence Infrastructure 257

Dynatrace

FEBRUARY 16, 2023

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 199

Analytics Innovation Metrics Database 199

Dynatrace

MAY 28, 2024

Logs provide answers, but monitoring is a challenge Manual tagging is error-prone Making sure your required logs are monitored is a task distributed between the data owner and the monitoring administrator. Finding the right logs is cumbersome Even if your logs are monitored, you need to make sense of the vast data volume.

Analytics 195

Analytics Infrastructure Database Monitoring 195

Dynatrace

FEBRUARY 15, 2023

Exploratory analytics is an essential capability for organizations to discover the stories hiding in their data. Visual data analytics with collaborative input from IT, development, security, and business teams makes those stories reveal themselves and helps teams immediately understand—and act on—their business impact.

Analytics 130

Analytics Government Media C++ 130

Dynatrace

MARCH 6, 2024

They create an explosion of data that is extremely challenging to manually capture, analyze, and act on. Fragmented monitoring and analytics can’t keep up The continued reliance on fragmented monitoring tools and manual analytics strategies is a particular pain point for IT and security teams.

Analytics 204

Analytics Innovation Strategy Storage 204

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. Define clear objectives Establish clear objectives and identify specific insights you want to gain from the data.

Best Practices 240

Best Practices Analytics Strategy Monitoring 240

Dynatrace

AUGUST 9, 2023

The massive volumes of log data over months, sometimes years, of a breach have made this a complicated and expensive problem to solve. A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. and “was any sensitive data stolen?”

Analytics 230

Analytics Metrics Database Storage 230

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. Clair determined what log data was available to her.

Analytics 195

Analytics Engineering Cloud Traffic 195

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Data volume explosion in multicloud environments poses log issues.

Analytics 234

Analytics Storage Infrastructure Metrics 234

Dynatrace

JANUARY 17, 2023

OpenTelemetry signals are often analyzed in data silos with missing context and relationships between the data and underlying topology. This leads to significant time wasted in connecting data with application workloads by manually applying labels, or by building crosslinks between the dashboards of incompatible tools.

Analytics 293

Analytics Metrics Open Source Java 293

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. Business events deliver the industry’s broadest, deepest, and easiest access to your critical business data. The need for real-time business observability.

Analytics 243

Analytics Mobile Metrics Games 243

Dynatrace

FEBRUARY 12, 2024

However, these environments can drown enterprises in data, forcing them to adopt multiple tools and services to manage and secure it. 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.

Analytics 194

Analytics Artificial Intelligence Engineering Technology 194

DZone

SEPTEMBER 14, 2023

In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. Apache Spark , a robust open-source data processing framework, has emerged as a game-changer in this domain.

Big Data 279

Big Data Processing Games Open Source 279

DZone

JUNE 3, 2024

In an era where data is the new oil, effectively utilizing data is crucial for the growth of every organization. It is not enough to store these data durably, but also to effectively query and analyze them. Without a querying capability, the data stored in S3 would not be of any benefit.

Big Data 278

Big Data AWS Storage Analytics 278

DZone

FEBRUARY 5, 2024

In today's cloud computing world, all types of logging data are extremely valuable. Logs can include a wide variety of data, including system events, transaction data, user activities, web browser logs, errors, and performance metrics. This innovative service is transforming the way organizations handle their log data.

Analytics 278

Analytics Innovation Strategy Efficiency 278

DZone

NOVEMBER 7, 2023

In the rapidly evolving digital landscape, the role of data has shifted from being merely a byproduct of business to becoming its lifeblood. With businesses constantly in the race to stay ahead, the process of integrating this data becomes crucial. However, it's no longer enough to assimilate data in isolated, batch-oriented processes.

Systems 287

Systems Analytics Architecture Engineering 287

Dynatrace

APRIL 22, 2024

To enable participating organizations to meet the EU requirements for transferring personal data to the U.S., the Data Privacy Framework (DPF) is designed to serve as an adequate data transfer mechanism under the GDPR. Data Privacy Framework Program (The EU-U.S. Benefits of Data Privacy Framework for Dynatrace customers.

Government 237

Government Programming Analytics Efficiency 237

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 236

Latency Storage Traffic Tuning 236

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical.

Cloud 263

Cloud Lambda AWS Analytics 263

The Netflix TechBlog

SEPTEMBER 18, 2024

Cassandra serves as the backbone for a diverse array of use cases within Netflix, ranging from user sign-ups and storing viewing histories to supporting real-time analytics and live streaming. Second, developers had to constantly re-learn new data modeling practices and common yet critical data access patterns.

Latency 248

Latency Storage Cache Efficiency 248

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 227

Analytics Storage Retail DevOps 227

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. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 246

Analytics Artificial Intelligence Storage Serverless 246

Dynatrace

OCTOBER 16, 2024

When we launched the new Dynatrace experience, we introduced major updates to the platform, including Grail ™, our innovative data lakehouse unifying observability, security, and business data, and Dynatrace Query Language ( DQL ) for accessing and exploring unified data.

Social Media 206

Social Media Metrics Network Analytics 206

Dynatrace

FEBRUARY 2, 2023

Should business data be part of your observability solution? Technology and business leaders express increasing interest in integrating business data into their IT observability strategies, citing the value of effective collaboration between business and IT.

Analytics 215

Analytics Metrics DevOps Storage 215

Dynatrace

FEBRUARY 15, 2023

As organizations adopt more cloud-based technologies, the increased volume and variety of data from these ecosystems drive complexity. This complexity creates silos that affect the ability of IT, development, security, and business teams to achieve the awareness they need to make data-driven decisions.

Analytics 130

Analytics Storage Cloud DevOps 130

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 243

Analytics Engineering Data Engineering Tuning 243

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. However, our customers often want to augment the data Dynatrace provides with data from third-party tools.

Analytics 209

Analytics AWS Infrastructure Strategy 209

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 204

Data Engineering Engineering Entertainment Software Engineering 204