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 181

Analytics Ecommerce Metrics Innovation 181

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Comparing log monitoring, log analytics, and log management. It is common to refer to these together as log management and analytics.

Systems 189

Systems Cloud Analytics DevOps 189

Dynatrace

NOVEMBER 18, 2021

Logs are a crucial component in the mix that help BizDevOps teams understand the full story of what’s happening in a system. By unifying log analytics with PurePath tracing, Dynatrace is now able to automatically connect monitored logs with PurePath distributed traces. New to Dynatrace? If so, start your free trial today!

Analytics 229

Analytics Cloud Java Serverless 229

Dynatrace

FEBRUARY 25, 2020

We introduced Digital Business Analytics in part one as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. A sample Digital Business Analytics dashboard. Dynatrace news.

Analytics 209

Analytics Metrics Best Practices Servers 209

Dynatrace

MARCH 29, 2024

Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. By seamlessly integrating observability, AI-driven insights, and data analytics, organizations can overcome common obstacles such as operational inefficiencies, performance bottlenecks, and scalability concerns.

Google 267

Google Innovation Cloud Analytics 267

Dynatrace

OCTOBER 28, 2019

In this post, I wanted to share how I use Google Analytics together with Dynatrace to give me a more complete picture of my customers, and their experience across our digital channels. Google Analytics. Almost all marketers will be familiar with Google Analytics. Digital and Business Analytics. seconds is my goal!).

Google 153

Google Analytics Traffic Operating System 153

Dynatrace

FEBRUARY 9, 2021

As an application owner, product manager, or marketer, however, you might use analytics tools like Adobe Analytics to understand user behavior, user segmentation, and strategic business metrics such as revenue, orders, and conversion goals. Common examples of data points that makes sense to have in many systems are: Session IDs.

Analytics 139

Analytics Mobile Airlines Monitoring 139

Dynatrace

JUNE 12, 2020

We’re continuously working to support the most popular operating systems with high quality OneAgent deployment options. Of course, it’s possible to run a legacy 32-bit application on a 64-bit operating system. We’re already seeing a rapid decrease in the usage of 32-bit operating systems among our customers.

Operating System 139

Operating System Systems Monitoring Servers 139

Dynatrace

OCTOBER 7, 2020

This gives you all the benefits of a metric storage system, including exploring and charting metrics, building dashboards, and alerting on anomalies. The post Intelligent, context-aware AI analytics for all your custom metrics appeared first on Dynatrace blog.

Metrics 246

Metrics Analytics Storage Monitoring 246

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 281

Efficiency Performance Analytics DevOps 281

Dynatrace

APRIL 19, 2024

In this blog post, we explore real-life scenarios shared by our customers, partners, and internal users at Dynatrace, offering inspiration to kickstart your own journey with custom solutions powered by AppEngine. With hundreds of teams, distributed systems, and terabytes of log data, this is a daunting task.

AWS 226

AWS Analytics Cloud Monitoring 226

Dynatrace

DECEMBER 13, 2023

In this blog, we’ll discuss our predictions for 2024 regarding the future of observability, the most significant AI trends, and other technologies that will power the next wave of transformations in organizations worldwide. 2: AI-generated code will create the need for digital immune systems. Technology prediction No.

Technology 208

Technology Technology Artificial Intelligence Analytics 208

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. If system failures occur, teams must resolve them quickly and resolutely.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

Dynatrace

NOVEMBER 20, 2023

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. What is causal AI? What is predictive AI? What is AIOps?

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

Dynatrace

OCTOBER 25, 2023

VMware Aria Operations for Logs (formerly known as vRealize Log Insight) is used across enterprises to collect logs and provide analytics. Basically, this means that an unauthenticated malicious actor could inject files into the operating system of an impacted appliance, which can result in remote code execution.

Analytics 272

Analytics Operating System Code Servers 272

Dotcom-Montior

NOVEMBER 24, 2021

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify. What is a Distributed System?

Systems 74

Systems Monitoring Hardware Network 74

Dynatrace

OCTOBER 28, 2020

As a PSM system administrator, you’ve relied on AppMon as a preconfigured APM tool for detecting, diagnosing, and repairing problems that impact the operational health of your Windchill application suite. And even Digital business analytics. The post It’s time to upgrade the PTC System Monitor (PSM)! Dynatrace news.

Monitoring 148

Monitoring Systems Infrastructure Cloud 148

DZone

OCTOBER 11, 2022

Making Google’s CalDAV and CardDAV APIs available for everyone ( Google Developers Blog). Linux System Mining with Python ( Javalobby – The heart of the Java developer community). Google Analytics Becomes A Robust Testing Platform With Content Experiments API ( Google Analytics Blog). Java EE 7 is Final.

Java 244

Java Best Practices Google Analytics 244

Dynatrace

AUGUST 7, 2023

They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. This combined approach provides reliable answers for two key purposes,” wrote Dynatrace CTO Bernd Greifeneder in a May 2023 blog post. What is DevSecOps? Learn how security improves DevOps.

DevOps 190

DevOps Analytics Best Practices Java 190

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. 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. What Exactly is Greenplum?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

AUGUST 10, 2023

Dynatrace business events address these systemic problems, delivering real-time business observability to business and IT teams with the precision and context required to support data-driven decisions and improve business outcomes. Data is not delivered in real time; it’s often delayed by weeks or longer.

Database 231

Database Metrics Retail Analytics 231

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required. Start using Grail now.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

Dynatrace

OCTOBER 6, 2023

Custom data buckets for faster queries, increased control, and custom retention periods The first layer in the Grail data model consists of buckets and tables (and views for entities, which is outside this blog post’s scope). Suppose a single Grail environment is central storage for pre-production and production systems.

Artificial Intelligence 266

Artificial Intelligence Analytics Metrics Storage 266

Dynatrace

APRIL 11, 2023

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As a result, organizations need to be vigilant in identifying and addressing vulnerabilities to protect their systems and data. Learn more. What is vulnerability management?

Cloud 192

Cloud DevOps Open Source Retail 192

The Netflix TechBlog

JANUARY 10, 2024

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. This architecture shift greatly reduced the processing latency and increased system resiliency.

Processing 229

Processing Media Latency Innovation 229

Scalegrid

JANUARY 20, 2020

Follower clusters are a ScaleGrid feature that allows you to keep two independent database systems (of the same type) in sync. In this blog post, we will cover the top three scenarios to leverage follower clusters for your application. This helps reduce the load on the source system. Data Analytics.

Analytics 185

Analytics Storage Database Systems 185

Dynatrace

JANUARY 23, 2024

Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. The key to closing the AI confidence gap – blog As today’s AI models become increasingly complex, explainable AI aims to make AI output more transparent and understandable. Enter causal AI.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Testlodge

NOVEMBER 1, 2021

” Destructive testing is a method that uses the system in a way other than intended to make the software program deliberately fail. How the system responds is then analyzed. Other tools are automated that let the tester fuzz test the system using fault injection techniques. Data-Driven Tools. Automated Tools.

Systems 81

Systems Testing Software Software 81

KeyCDN

OCTOBER 2, 2018

Reading and following the right web development blogs makes it much easier to get a solid education. That’s why in this post, we’ve compiled a list of the top web development blogs that will help you find your footing and acquire essential skills in modern web dev. Visit website 3. Visit website 5. Visit website 9.

Development 75

Development Website Design Code 75

Dynatrace

SEPTEMBER 14, 2022

With digital systems growing exponentially in size and complexity, industry trends like AIOps and DevSecOps are becoming the norm for application performance m onitoring (APM) and observability tools such as Dynatrace. Why today’s data analytics solutions still fail us.

Metrics 234

Metrics Analytics Monitoring Efficiency 234

Dynatrace

JULY 1, 2020

In my last blog , I’ve provided an example of this happening, whereby the traffic spiked and quadrupled the usual incoming traffic. 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.

Traffic 264

Traffic Analytics Metrics Servers 264

Dynatrace

APRIL 29, 2021

Our Dynatrace researchers now have a space to share their contributions and research in the domains of software intelligence, data science, real-time analytics, distributed data systems, and cloud-native application security. The post Showcasing engineering excellence at Dynatrace appeared first on Dynatrace blog.

Engineering 262

Engineering Open Source Website Innovation 262

DZone

APRIL 26, 2022

This is a republish of a blog on VentureBeat by Wei Li, Intel VP/GM, AI and Analytics (AIA). An equally important aspect of this AI growth equation is the ever-expanding demands it places on computer system requirements to deliver higher AI performance.

Software 130

Software Software Performance Hardware 130

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. Traces help find the flow of a request through a distributed system. Further reading about Business Analytics : . Conclusion.

Analytics 246

Analytics Infrastructure AWS Operating System 246

Dynatrace

DECEMBER 3, 2021

Modernization priorities lie with advanced analytics and technologies. Respondents from both civilian and defense agencies identified advanced analytics, advanced technologies, and the ability to deliver services while reducing costs as their top IT modernization priorities.

Cloud 193

Cloud Artificial Intelligence Government Analytics 193

Dynatrace

AUGUST 10, 2023

Dynatrace business events address these systemic problems, delivering real-time business observability to business and IT teams with the precision and context required to support data-driven decisions and improve business outcomes. In part two of this blog series, you’ll see how we approached the Database Business Events Stream solution.

Database 130

Database Metrics Retail Analytics 130

The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. I also built online serving systems and microservices powering Walmart’s e-commerce. Moreover, its petabyte scale also brings unique engineering challenges.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173