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 214

Analytics Storage Retail Monitoring 214

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 181

Analytics Storage Retail Monitoring 181

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 179

Mobile Analytics Monitoring Best Practices 179

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 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 195

Analytics Retail Metrics Mobile 195

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? Operations.

Software 187

Software Software Analytics Big Data 187

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. During the development stage, vulnerabilities can arise when developers use third-party open-source code or make an error in application logic.

Monitoring 211

Monitoring Analytics Traffic Best Practices 211

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. Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. No one will be around who fully understands the code.

Technology 203

Technology Technology Artificial Intelligence Analytics 203

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 276

Efficiency Performance Analytics DevOps 276

Dynatrace

FEBRUARY 1, 2024

From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.” But contextual analytics don’t stop here. “AI

Artificial Intelligence 186

Artificial Intelligence Analytics Efficiency Database 186

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

JULY 25, 2023

Davis CoPilot empowers users to effortlessly create queries, data dashboards, and data notebooks using natural language and provides coding suggestions for workflow automation, reflecting the unique attributes of each customer’s hybrid and multicloud ecosystem. Davis CoPilot can provide recommended actions to remediate issues.

Best Practices 234

Best Practices Analytics Metrics Code 234

Dynatrace

MARCH 27, 2024

Dynatrace integration with AWS AppFabric for security The AWS AppFabric for security feature fully manages the integrations with over 25 applications so customers can get started tracking application security in just a few clicks—no coding required. 16) our company users access the internet from.

AWS 245

AWS Analytics Government Monitoring 245

Dynatrace

JULY 11, 2023

Many global enterprises have instrumented their code to emit traces, metrics, and logs in a standardized and vendor-neutral way using OpenTelemetry. By ingesting OTLP logs into Dynatrace, you can utilize the Grail™ data lakehouse and its massively-parallel processing analytics engine.

Open Source 215

Open Source Analytics Metrics Cloud 215

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 227

Analytics Retail Storage Monitoring 227

Dynatrace

FEBRUARY 28, 2024

Validation stage overview The validation stage is a crucial step in the CI/CD (Continuous Integration/Continuous Deployment) process. These prolonged processes not only strain resources but also introduce delays within the CI/CD pipeline, hampering the timely release of new features to end-users.

DevOps 203

DevOps Metrics Engineering Analytics 203

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. All these steps and stages slow down processes, are error-prone, and introduce additional security risks.

DevOps 183

DevOps Analytics Storage Metrics 183

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

SEPTEMBER 8, 2022

While logging is the act of recording logs, organizations extract actionable insights from these logs with log monitoring, log analytics, and log management. Comparing log monitoring, log analytics, and log management. These two processes feed into one another. Log management brings together log monitoring and log analysis.

Systems 185

Systems Cloud Analytics DevOps 185

Dynatrace

AUGUST 28, 2023

Let’s shift our focus to the backend systems and business processes, the behind-the-scenes heroes of end-to-end customer experience. These retail-business processes must work together efficiently to orchestrate customer satisfaction: Inventory management ensures you can anticipate and meet dynamic customer demand.

Retail 202

Retail Logistics Innovation Analytics 202

Dynatrace

OCTOBER 19, 2023

Using vulnerability management, DevSecOps automation, and attack detection and blocking in your application security process can proactively improve your organization’s overall security posture. Vulnerability management Vulnerability management is the process of identifying, prioritizing, rectifying, and reporting software vulnerabilities.

Best Practices 209

Best Practices Benchmarking Speed Infrastructure 209

Dynatrace

JULY 24, 2023

Teams use this data to identify, analyze, and fix coding errors, UX/UI design, microservices, and other technical issues to improve usability and provide a better digital customer experience. Evaluate effectiveness after implementation with analytics and regular reports. Financial data.

Analytics 191

Analytics Website Mobile Internet 191

Dynatrace

APRIL 18, 2024

It goes beyond traditional monitoring—metrics, logs, and traces—to encompass topology mapping, code-level details, and user experience metrics that provide real-time insights. Without this level of context, datasets become exponentially difficult to analyze and use for any effective or efficient DevSecOps processes.

DevOps 190

DevOps Engineering Artificial Intelligence Infrastructure 190

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. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 194

Analytics Processing Transportation Storage 194

Dynatrace

OCTOBER 23, 2023

Therefore, they experience how the application code functions and how the application operations depend on the underlying hardware resources and the operating system managed by Hyper-V. Observability challenges with Hyper-V End-users don’t have direct interaction with Hyper-V. Dynatrace is a platform that satisfies all these criteria.

Efficiency 214

Efficiency Virtualization Hardware Performance 214

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

APRIL 11, 2023

For example, the open source Java library at the heart of the Log4Shell crisis in 2021 was patched within days given the pervasiveness of the code. How vulnerabilities are evaluated – platform module Learn the mechanism that Dynatrace Application Security uses to generate third-party vulnerabilities and code-level vulnerabilities.

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

MAY 17, 2023

For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. First, SREs must ensure teams recognize intellectual property (IP) rights on any code shared by and with GPTs and other generative AI, including copyrighted, trademarked, or patented content.

Innovation 259

Innovation Software Software Artificial Intelligence 259

Dynatrace

FEBRUARY 28, 2024

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Notebooks] is purposely built to focus on data analytics,” Zahrer said. “We

Analytics 210

Analytics Metrics Media Monitoring 210

Dynatrace

NOVEMBER 28, 2022

For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies. With SnapStart enabled, function code is initialized once when a function version is published. Simplify error analytics. What is Lambda?

Lambda 225

Lambda AWS Serverless Latency 225

Dynatrace

APRIL 25, 2023

Neglecting security during the development process or at runtime when new threats can emerge could lead to disastrous consequences. Visibility into pre-production and production, enabling both runtime vulnerability analytics and runtime application protection. As a result, teams must maintain secure applications throughout runtime.

Government 213

Government Innovation Open Source Traffic 213

Dynatrace

FEBRUARY 8, 2021

Logs and events play an essential role in this mix; they include critical information which can’t be found anywhere else, like details on transactions, processes, users and environment changes. Some solutions that use logs for troubleshooting only provide manual analytics to search for the root causes of issues.

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

FEBRUARY 16, 2023

Maciag cited a Dynatrace customer who observed that their ingestion rates and costs were linearly increasing, but the value and analytics their teams could extract were not correlating. A holistic, unified approach to extracting analytics at scale is necessary to keep pace with digital transformation.

Analytics 171

Analytics Innovation Cloud Scalability 171

Dynatrace

FEBRUARY 16, 2023

Dynatrace pre-deployment security tooling eliminates blind spots With Runtime Vulnerability Analytics (RVA), Dynatrace customers already receive a prioritized and risk-based assessment of detected vulnerabilities. More importantly, you get a clear risk management process based on the provided insights.

Programming 194

Programming Government Analytics Efficiency 194

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. And while these examples were resolved by just asking a few questions, in many cases, the answers are more elusive, requiring real-time and historical drill-downs into the processes and dependencies specific to each host.

Cloud 209

Cloud Energy Best Practices Cache 209