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. Once teams solidify infrastructure and application performance, security is the subsequent priority.

Analytics 197

Analytics Infrastructure Efficiency Technology 197

DZone

MARCH 6, 2020

For the number of years I’ve been programming using Julia, I’ve never really been concerned with performance. Which is to say, I’ve appreciated that other people are interested in performance and have proven that Julia can be as fast as any other performance language out there.

Benchmarking 274

Benchmarking Analytics Programming Code 274

Dynatrace

FEBRUARY 26, 2024

While the curtains have fallen on Perform 2024 , the Dynatrace annual user conference, the commitment and collaborative nature of our partner relationships is consistently being demonstrated. The User Flow Analytics app was created to address real-life business challenges.

Innovation 194

Innovation Analytics Mobile Website 194

Dynatrace

FEBRUARY 15, 2023

Further, developers can build more agility into their processes with an intuitive, low-code approach to create custom, compliant, and intelligent data-driven apps and automation. AppEngine provides a runtime environment that automatically scales the environment, ensuring the application is highly available and performing healthily.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

AUGUST 25, 2023

Program staff depend on the reliable functioning of critical program systems and infrastructure to provide the best service delivery to the communities and citizens HHS serves, from newborn infants to persons requiring health services to our oldest citizens. IT modernization can help.

Government 200

Government Infrastructure Programming Cloud 200

Dynatrace

JULY 18, 2022

OpenTelemetry provides a set of vendor-agnostic application program interfaces (APIs) to create a common way to instrument applications and collect data from logs and traces across a wide variety of frameworks and languages. It uses standardized application program interfaces that a wide variety of vendors and user organizations can support.

Artificial Intelligence 189

Artificial Intelligence Open Source Analytics Monitoring 189

Dynatrace

OCTOBER 4, 2022

These include application programming interfaces, streaming, and more. The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. The performance of these queries needs to be at a level where they can support ad-hoc analytics use cases.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Dynatrace

AUGUST 2, 2021

But without complex analytics to make sense of them in context, metrics are often too raw to be useful on their own. Often referred to as calculated metrics (see Adobe Analytics and Google Analytics ), such metric processing takes one or more existing metrics as input to create a new user-defined metric. Dynatrace news.

Metrics 245

Metrics Analytics Google Code 245

Dynatrace

APRIL 19, 2023

Enterprise data stores grow with the promise of analytics and the use of data to enable behavioral security solutions, cognitive analytics, and monitoring and supervision. Log4j is a ubiquitous software code in various consumer-facing products and services. Why perform exclusion at two points?

Design 188

Design Storage Programming Analytics 188

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

NOVEMBER 28, 2022

Today, application modernization efforts are centered on application programming interfaces and microservices that are sensitive to startup latency. 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.

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

JUNE 6, 2023

Additionally, service meshes — such as those offered by Istio, Linkerd, and Consul Connect — help to manage internetwork communication at the platform layer using purpose-built application programming interfaces. AI-powered analytics. Observability. Platform and application security.

Open Source 189

Open Source Storage Analytics Innovation 189

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 63

Programming IoT Java Analytics 63

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

Jos

JUNE 2, 2018

Web Performance is not only about understanding what makes a site fast. Performance is a feature and needs to be prioritized as such. Performance is a topic that has interested me for a long time. I remember when I learned about dynamic programming, greedy or divide and conquer algorithms.

Performance 237

Performance Speed Google Media 237

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. As data from different corners of the enterprise proliferates, teams need a better way to bring data together to identify performance and security issues, minimize security risk, and drive greater business value.

Cloud 183

Cloud DevOps Open Source Retail 183

Alex Russell

JANUARY 30, 2024

The usual caveats also apply: Performance is a deep and nuanced domain, and much can go wrong beyond content size and composition. How sites manage resources after-load can have a big impact on perceived performance. Until and unless teams have better data about their performance, the global baseline budget should be enforced.

Performance 90

Performance Network Mobile Speed 90

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Queries in an IMDG can create interesting performance challenges. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 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

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Queries in an IMDG can create interesting performance challenges. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 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

JUNE 28, 2022

It negatively affects the lead time for changes (LT) , a DORA metric 1 that DevOps teams use to measure platform and team performance. Utilizing a collection of tools for synthetic CI/CD testing can identify an issue while still leaving DevOps and SRE teams responsible for root cause analysis, which they often have to perform manually.

Monitoring 197

Monitoring Software Software DevOps 197

Dynatrace

MAY 23, 2022

IDC predicted, by 2022, 90% of all applications will feature microservices architectures that improve the ability to design, debug, update, and use third-party code. Monolithic architecture is development where an application is built on a single codebase, and the code is unilateral. Limited because of a single programming language.

Architecture 192

Architecture DevOps Monitoring Programming 192

Dynatrace

JANUARY 21, 2021

And we know as well as anyone: the need for fast transformations drives amazing flexibility and innovation, which is why we took Perform Hands-on Training (HOT) virtual for 2021. This year, we’re offering a special Perform 2021 discounted rate. You can register for Perform 2021 HOT sessions within our Dynatrace University portal. *

Virtualization 179

Virtualization Benchmarking Best Practices Cloud 179

HammerDB

FEBRUARY 25, 2021

On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute. This is why the choice of programming language is so important from the outset. This is why the choice of programming language is so important from the outset. select top 100.

Programming 67

Programming Benchmarking Virtualization C++ 67

ScaleOut Software

DECEMBER 10, 2019

For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examination. Note that the platform can seamlessly scale its performance by running thousands of real-time digital twins in parallel.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examination. Note that the platform can seamlessly scale its performance by running thousands of real-time digital twins in parallel.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examination. Note that the platform can seamlessly scale its performance by running thousands of real-time digital twins in parallel.

Code 52

Code Analytics Healthcare IoT 52

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Without any coding, these extensions make it easy to ingest data from these technologies and provide tailor-made analysis views and zero-config alerting. Dynatrace news. Predefined alerts.

Technology 213

Technology Technology Metrics Infrastructure 213

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

Dynatrace

OCTOBER 4, 2021

An application programming interface (API) is a set of definitions and protocols for building and integrating application software that enables your product to communicate with other products and services. In addition, isolating a single poor-performing service among hundreds can be a challenge unless proper monitoring is in place.

Monitoring 175

Monitoring Latency Metrics Availability 175

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 40

Programming IoT Java Analytics 40

Dynatrace

JUNE 15, 2023

Cloud application security practices enable organizations to follow secure coding practices, monitor and log activities for detection and response, comply with regulations, and develop incident response plans. It also entails secure development practices, security monitoring and logging, compliance and governance, and incident response.

Cloud 174

Cloud Open Source Architecture Monitoring 174

Dynatrace

OCTOBER 17, 2023

Enhanced code-level visibility. Dynatrace provided invaluable code-level visibility into issues, leading to faster MTTR. This compelling success story underscores how the Dynatrace customer-centric pricing approach can drive efficiency, cost savings, and performance improvements for businesses in any sector. Transparency.

Retail 233

Retail Storage Best Practices Architecture 233

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 52

Analytics Social Media Serverless Cloud 52

Dynatrace

MAY 17, 2023

But its underlying goal is quite humble and straightforward: it wants to enable you to observe an IT system (for example, a web application, infrastructure, or services) and gain insight to its behavior, such as performance, error rates, hot spots of executed instructions in code, and more.

Metrics 177

Metrics Open Source Traffic Cache 177

Dynatrace

JUNE 20, 2023

They also need to assess and optimize the performance of both their apps and the back end services that support them. Jetpack Compose and SwiftUI, in particular, allow developers to create UI components using declarative programming. The Dynatrace SwiftUI instrumentor adds additional code to the project source code (*.swift

Mobile 259

Mobile Monitoring Entertainment Innovation 259