Dynatrace

JANUARY 17, 2023

Code changes are often required to refine observability data. This results in site reliability engineers nudging development teams to add resource attributes, endpoints, and tokens to their source code. Thus, measuring application performance becomes an unnecessarily frustrating coordination effort between teams.

Analytics 276

Analytics Metrics Open Source Java 276

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The goal is to abstract away the underlying infrastructure’s complexities while providing a streamlined and standardized environment for development teams.

Engineering 237

Engineering Development DevOps Infrastructure 237

Dynatrace

FEBRUARY 15, 2023

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. A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Development and DevOps.

Analytics 130

Analytics Storage Cloud DevOps 130

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.

Analytics 197

Analytics Metrics DevOps Storage 197

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

Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Let Grail do the work, and benefit from instant visualization, precise analytics in context, and spot-on predictive analytics.

Analytics 226

Analytics Social Media Metrics Efficiency 226

Dynatrace

OCTOBER 4, 2022

Much of the software developed today is cloud native. Organizations need to unify all this observability, business, and security data based on context and generate real-time insights to inform actions taken by automation systems, as well as business, development, operations, and security teams. Enter Grail-powered data and analytics.

Analytics 187

Analytics Software Software Storage 187

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

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. What is log analytics?

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

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

FEBRUARY 12, 2024

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Configuration as code is easy to use, update, and understand.

Engineering 179

Engineering Development Infrastructure Cloud 179

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

FEBRUARY 9, 2021

When it comes to mobile monitoring, everyone has their own point of view… Mobile is not a single technology: it involves different development teams handling Android and iOS apps, performance engineering teams, cloud operations, and marketing. How do I connect the dots between mobile analytics and performance monitoring?

Analytics 203

Analytics Mobile Performance Monitoring 203

Dynatrace

FEBRUARY 9, 2022

One of the primary drivers behind digital transformation initiatives is the desire to streamline application development and delivery to bring higher quality, more secure software to market faster. Key components of GitOps are declarative infrastructure as code, orchestration, and observability.

Code 213

Code Software Software DevOps 213

Dynatrace

DECEMBER 18, 2020

This also, unfortunately, alerts our product developers instead of me if the app causes an error on the dashboard. Agentless RUM allows you to monitor your front-end apps by simply pasting a JavaScript tag into your code. With the SDK you wrap your application code to report Sessions and Actions. Agentless RUM. New to Dynatrace?

Analytics 135

Analytics Metrics IoT Monitoring 135

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

Dynatrace

FEBRUARY 26, 2024

The winning User Flow Analytics app by Andrea Caria of Spindox introduces a visual analysis of user navigation within web, mobile, or custom applications, presented through dynamic Sankey diagrams and funnels. The User Flow Analytics app was created to address real-life business challenges.

Innovation 194

Innovation Analytics Mobile Website 194

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 200

Technology Technology Artificial Intelligence Analytics 200

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 184

Software Software Analytics Big Data 184

Dynatrace

MARCH 20, 2024

Identification The identification stage of application security monitoring involves discovering and pinpointing potential security weaknesses within an application’s code, configuration, or design. If a vulnerability remains undetected, the compromised code can allow attackers access to data they’re not authorized to have.

Monitoring 208

Monitoring Analytics Traffic Best Practices 208

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.”

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

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. The reporting of values must happen in the source code of your mobile app via the SDK API.

Analytics 137

Analytics Mobile Airlines Monitoring 137

Dynatrace

APRIL 19, 2024

For many, the driving force behind custom solution development is today’s dynamic and rapidly evolving digital landscape, in which organizations find themselves in a race to automate repetitive tasks, drive data-backed decisions, and do more with less. Figure 3: Funnel analysis implemented by selecting a custom user journey.

AWS 216

AWS Analytics Cloud Monitoring 216

Dynatrace

NOVEMBER 17, 2020

Technical complexity has shifted from the actual code to the interdependencies between services. In 2006, Dynatrace released the first production-ready solution for distributed tracing with code-level insights. FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes.

Analytics 154

Analytics Technology Technology Cloud 154

Dynatrace

NOVEMBER 3, 2023

focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. Dynatrace Extensions 1.0 Extensions 2.0

Technology 243

Technology Technology Scalability Availability 243

Dynatrace

FEBRUARY 15, 2023

Today, IT and development teams have myriad responsibilities in managing and working with cloud environments. Teams can now use an observability platform to unify operations, business, and development data to gain automatic, precise answers about cloud environments and user experience.

Analytics 130

Analytics Storage Cloud Code 130

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

Dynatrace

JULY 25, 2023

Hypermodal AI, which combines predictive AI, causal AI, and generative AI, boosts productivity across operations, security, development, and business teams. Generative AI drives productivity through AI-powered analytics and automation for all members of your organization.

Best Practices 231

Best Practices Analytics Metrics Code 231

Dynatrace

DECEMBER 12, 2023

For example, nearly two-thirds (61%) of technology leaders say they will increase investment in AI over the next 12 months to speed software development. As they continue on this path, organizations expect other benefits , from enabling business users to easily customize dashboards (54%) to building interactive queries for analytics (48%).

Artificial Intelligence 203

Artificial Intelligence DevOps Analytics Strategy 203

Dynatrace

APRIL 28, 2023

Use buckets for any use case in a secure way When using Log Management and Analytics or Business Analytics with Grail, you can create custom buckets with specified data-retention periods. App developers might need to logs from their environment for debugging purposes, but only for a specific timeframe.

Analytics 210

Analytics Storage Infrastructure Metrics 210

Dynatrace

APRIL 8, 2024

In summary, the Dynatrace platform enables banks to do the following: Capture any data type: logs, metrics, traces, topology, behavior, code, metadata, network, security, web, and real-user monitoring data, and business events. Resilient, high-performing technology ecosystems that accelerate innovation through faster development cycles.

Analytics 197

Analytics Infrastructure Efficiency Technology 197

Dynatrace

MARCH 1, 2024

As part of delivering a compelling experience, it is vital that companies develop a deeper understanding of their customers. This enables you to enrich your Adobe analytics data with end-to-end traces across all tiers and to get precise, real-time user insights.

Analytics 186

Analytics Monitoring Website Efficiency 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

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

NOVEMBER 7, 2023

The development of internal platform teams has taken off in the last three years, primarily in response to the challenges inherent in scaling modern, containerized IT infrastructures. The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world.

Engineering 270

Engineering DevOps Best Practices Infrastructure 270

The Netflix TechBlog

JULY 20, 2020

and thanks to the magic of open source, it’s only about a hundred lines of Python code. Conclusion The mature state of open source transfer learning data products and SDKs has allowed us to solve semantic nearest neighbor search via LSH in remarkably few lines of code.

Development 177

Development Open Source Tuning Network 177

Dynatrace

AUGUST 7, 2023

Developers use generative AI to find errors in code and automatically document their code. They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. But as the Black Hat 2023 agenda indicates, generative AI also introduces new security risks.

DevOps 182

DevOps Analytics Best Practices Java 182