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. While last week’s or last month’s data might be acceptable for historical reporting, it doesn’t help teams respond to dynamic business conditions or react to process anomalies.

Analytics 226

Analytics Mobile Metrics Games 226

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 176

Azure Analytics Artificial Intelligence Innovation 176

Dynatrace

AUGUST 9, 2023

A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. Security Analytics and automation deal with unknown-unknowns With Security Analytics, analysts can explore the unknown-unknowns, facilitating queries manually in an ad hoc way, or continuously using automation.

Analytics 215

Analytics Metrics Database Storage 215

DZone

NOVEMBER 20, 2023

ETL—Extract, Transform, Load—is far more than a set of operations; it's a complex dance that transforms raw data into valuable insights, serving as the critical backbone for a range of applications, from data analytics and business intelligence to real-time decision-making platforms.

Processing 117

Processing Performance Analytics Speed 117

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

Processing 226

Processing Data Engineering Efficiency Analytics 226

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 211

Analytics Storage Retail Monitoring 211

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

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 197

Analytics Metrics DevOps Storage 197

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

SEPTEMBER 1, 2022

Business analytics is a growing science that’s rising to meet the demands of data-driven decision making within enterprises. But what is business analytics exactly, and how can you feed it with reliable data that ties IT metrics to business outcomes? What is business analytics? Why business analytics matter.

Analytics 173

Analytics Ecommerce Metrics Innovation 173

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 178

Analytics Storage Retail Monitoring 178

The Netflix TechBlog

DECEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Alex Diamond This Q&A aims to mythbust some common misconceptions about succeeding in analytics at a big tech company. After a few years of wearing many different proverbial hats, I put them all to use in the Analytics Engineer role here.

Analytics 138

Analytics Retail Education Engineering 138

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 176

Mobile Analytics Monitoring Best Practices 176

Dynatrace

AUGUST 14, 2020

Many enterprise digital marketing teams use the best-in-class web analytics solutions like Adobe Analytics to see which users are abandon ing their journey , how paid search and email campaigns are performing, and to understand user behavior. Dynatrace news.

Analytics 264

Analytics Cloud Retail Monitoring 264

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. Here’s the approach they chose.

Mobile 208

Mobile Analytics Best Practices Software Engineering 208

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 193

Analytics Retail Metrics Mobile 193

Dareboost

JANUARY 8, 2024

Introduction to digital analytics Digital analytics encompasses the measurement, collection, analysis, and interpretation of data from various digital platforms, such as websites and mobile applications. This process is … Continue reading Understanding digital analytics: an in-depth look at tools and techniques →

Analytics 52

Analytics Website Performance Website Mobile 52

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. They also need a high-performance, real-time analytics platform to make that data actionable. Now, you can set up your Firehose stream.

Cloud 214

Cloud Lambda AWS Analytics 214

Dynatrace

OCTOBER 7, 2020

Topology metrics are related to specific entities in your Smartscape topology (for example, the number of successful and failed batch jobs processed by a host). With this advancement, Dynatrace is now the data-to-answers-to-actions processing engine of choice that relieves you of the burden of manual health and performance analysis.

Metrics 244

Metrics Analytics Storage Monitoring 244

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Automated risk management workflows, processes, and decisions.

Analytics 197

Analytics Infrastructure Efficiency Technology 197

Dynatrace

APRIL 5, 2024

But when navigating this process, one of the biggest challenges facing enterprises is having too many tools. This enables companies to ingest, analyze, and retain massive quantities of data with powerful analytics and AI-powered answers. According to Dynatrace research , on average, companies have 10 different monitoring tools.

Cloud 232

Cloud Analytics Monitoring Scalability 232

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.

Google 258

Google Innovation Cloud Analytics 258

DZone

OCTOBER 24, 2023

The ELK stack is an abbreviation for Elasticsearch, Logstash, and Kibana, which offers the following capabilities: Elasticsearch: a scalable search and analytics engine with a log analytics tool and application-formed database, perfect for data-driven applications.

Analytics 255

Analytics Storage Infrastructure Scalability 255

Dynatrace

JUNE 26, 2023

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? What is software automation?

Software 184

Software Software Analytics Big Data 184

DZone

NOVEMBER 7, 2023

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. Businesses were content with accumulating data over defined intervals and then processing it in scheduled batches.

Systems 281

Systems Analytics Architecture Engineering 281

Dynatrace

MARCH 20, 2024

With the pace of digital transformation continuing to accelerate, organizations are realizing the growing imperative to have a robust application security monitoring process in place. Incident detection and response In the event of a security incident, there is a well-defined incident response process to investigate and mitigate the issue.

Monitoring 208

Monitoring Analytics Traffic Best Practices 208

DZone

NOVEMBER 25, 2023

For instance, rapid read and write operations are crucial for applications requiring real-time data analytics. But if your application primarily revolves around batch processing of large datasets, then focusing on write speed could mislead your selection process.

Database 268

Database Latency Speed Metrics 268

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

Dynatrace

MARCH 13, 2024

NIS2 risk management process and accountability requirements NIS2 aims to enhance the security posture of organizations to tackle evolving cyber threats, potentially bringing about significant changes in operational approaches. This goal requires converging observability and security , along with automating runtime vulnerability analytics.

Best Practices 224

Best Practices Education Strategy Analytics 224

DZone

NOVEMBER 28, 2023

In data analytics, the "hot path" and "cold path" refer to two distinct processing routes for handling data. The hot path involves real-time or near-real-time processing of data, where information is analyzed and acted upon immediately as it arrives.

Analytics 161

Analytics Efficiency Technology Technology 161

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 272

Efficiency Performance Analytics DevOps 272

DZone

SEPTEMBER 18, 2023

The demand for faster, more reliable, and efficient testing processes has grown exponentially with the increasing complexity of modern applications. To address these challenges, AI has emerged as a game-changing force, revolutionizing the field of automated software testing.

Artificial Intelligence 269

Artificial Intelligence Software Software Testing 269

Dynatrace

MARCH 27, 2024

Customers can then ingest logs from AWS into the Dynatrace® platform, for in-depth log management and security analytics powered by Grail TM. With Dynatrace Log Management analytics, organizations can set up alerts based on the occurrence of specific log events. 16) our company users access the internet from.

AWS 242

AWS Analytics Government Monitoring 242

Dynatrace

APRIL 22, 2024

As a Dynatrace customer, you trust Dynatrace with ingesting and processing terabytes of data. Find out how the Dynatrace platform helps you transform faster with analytics and automation for observability and security at scale. To learn more about Dynatrace data security and privacy, visit our Trust Center.

Government 220

Government Programming Analytics Efficiency 220

Dynatrace

JANUARY 18, 2023

Business events are a special class of events, new to Business Analytics; together with Grail, our data lakehouse, they provide the precision and advanced analytics capabilities required by your most important business use cases. Analytics without boundaries. Example business events from anywhere.

Analytics 224

Analytics Retail Storage Monitoring 224

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Improving data quality is a strategic process that involves all organizational members who create and use data. Another common impediment is manual data tagging and handling, an error-prone process that teams should minimize.

Government 197

Government Analytics Benchmarking Storage 197