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 180

Mobile Analytics Monitoring Best Practices 180

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

MAY 17, 2023

At Perform, our annual user conference, in February 2023, we demonstrated how people can use natural or human language to query our data lakehouse. ChatGPT and generative AI: A new world of innovation Software development and delivery are key areas where GPT technology such as ChatGPT shows potential.

Innovation 260

Innovation Software Software Artificial Intelligence 260

Dynatrace

DECEMBER 27, 2022

When organizations implement SLOs, they can improve software development processes and application performance. SLOs improve software quality. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle. SLOs aid decision making.

Software 264

Software Software Benchmarking Latency 264

Dynatrace

OCTOBER 23, 2023

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. This presents a challenge for IT operations teams, specifically in identifying and addressing performance issues or planning how to prevent future issues.

Efficiency 214

Efficiency Virtualization Hardware Performance 214

Dynatrace

MARCH 20, 2024

Cloud applications are built with the help of a software supply chain, such as OSS libraries and third-party software. According to recent research , 68% of CISOs say vulnerability management has become more difficult due to increased software supply chain and cloud complexity.

Monitoring 212

Monitoring Analytics Traffic Best Practices 212

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. These are the goals of AI observability and data observability, a key theme at Dynatrace Perform 2024 , the observability provider’s annual conference, which takes place in Las Vegas from January 29 to February 1, 2024.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

FEBRUARY 18, 2020

Traditionally, it’s critical for Dev and Ops teams to be able to quickly discover and remediate application performance and customer-facing issues. 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.

Analytics 195

Analytics Retail Metrics Mobile 195

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. Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors.

Artificial Intelligence 186

Artificial Intelligence Analytics Efficiency Database 186

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions.

Analytics 201

Analytics Infrastructure Efficiency Technology 201

Dynatrace

JULY 10, 2023

These environments are marked by continuous delivery of microservice updates into production, the abstractions inherent in Kubernetes environments, and challenges associated with applications distributed across multicloud environments—often with performance and security risks. Dynatrace was recognized as Compuware from 2010-2014.

Monitoring 221

Monitoring Retail Performance Government 221

Dynatrace

JULY 11, 2023

Dynatrace has supported the OpenTelemetry project for years as a key contributor and contributed to its rise to a popular open source observability framework for cloud-native software. Many global enterprises have instrumented their code to emit traces, metrics, and logs in a standardized and vendor-neutral way using OpenTelemetry.

Open Source 215

Open Source Analytics Metrics Cloud 215

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 191

DevOps Engineering Artificial Intelligence Infrastructure 191

Dynatrace

MARCH 27, 2024

Modern enterprises today use a myriad of enterprise Software-as-a-service (SaaS) applications and productivity suites to run business operations, such as Microsoft 365, Google Workspace, Salesforce, Slack, Zendesk, Zoom, GitHub, and many more. This section shows how to analyze AWS AppFabric logs with Notebooks and DQL.

AWS 246

AWS Analytics Government Monitoring 246

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

SEPTEMBER 8, 2022

This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services. Event logging and software tracing help application developers and operations teams understand what’s happening throughout their application flow and system.

Systems 186

Systems Cloud Analytics DevOps 186

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 187

Cloud DevOps Open Source Retail 187

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 203

DevOps Metrics Engineering Analytics 203

Dynatrace

FEBRUARY 28, 2023

Integrating with Microsoft Sentinel adds security events to our Runtime Application Protection and provides additional data for investigation with our security analytics features using Dynatrace Query Language on Grail. Its core capabilities are the following: Runtime vulnerability analytics. Runtime application protection.

Analytics 147

Analytics Cloud Software Software 147

Dynatrace

FEBRUARY 16, 2023

Every company is becoming a software company,” said Dynatrace Chief Marketing Officer Mike Maciag, during a Perform 2023 conference keynote on the role of observability in driving enterprise success. A holistic, unified approach to extracting analytics at scale is necessary to keep pace with digital transformation.

Analytics 172

Analytics Innovation Cloud Scalability 172

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

JANUARY 22, 2024

Software development. Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance.

Artificial Intelligence 208

Artificial Intelligence Healthcare Retail Government 208

Dynatrace

NOVEMBER 8, 2021

Application performance monitoring (APM) solutions have evolved in recent years, and organizations now have plenty of options to choose from when selecting the right tools for their needs. APM solutions track key software application performance metrics using monitoring software and telemetry data. Dynatrace news.

Artificial Intelligence 232

Artificial Intelligence Monitoring Infrastructure Cloud 232

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 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. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 184

DevOps Analytics Storage Metrics 184

High Scalability

FEBRUARY 19, 2019

Triplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Shape the future of software in your industry. Who's Hiring?

Software 125

Software Software Analytics Infrastructure 125

High Scalability

MARCH 19, 2019

Triplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Shape the future of software in your industry. Who's Hiring?

Software 122

Software Software Analytics Infrastructure 122

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

APRIL 25, 2023

Innovating with software is happening faster than ever. The traditional practice of scanning for vulnerabilities before production is insufficient because vulnerabilities can emerge at any point in the software supply chain. Ensuring secure applications amid rising complexity is a crucial part of this journey.

Government 214

Government Innovation Open Source Traffic 214

High Scalability

MARCH 5, 2019

Triplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Shape the future of software in your industry. Who's Hiring?

Software 116

Software Software Analytics Infrastructure 116

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

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Level 2: Hosts and containers You might run thousands of hosts and containers, many of which have been sized by prioritizing performance over energy consumption. Many of the same principles can be applied to green coding.

Cloud 209

Cloud Energy Best Practices Cache 209

Dynatrace

SEPTEMBER 13, 2023

The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 247

AWS Efficiency Azure Cloud 247

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

FEBRUARY 8, 2021

Some companies are still using different tools for application performance monitoring, infrastructure monitoring, and log monitoring. To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools.

Cloud 260

Cloud Azure Analytics AWS 260

Apica

JUNE 22, 2022

Software testing is a huge domain, but it can be broadly categorized into two areas: manual testing and automated testing. But with automated testing, test cases are executed with the assistance of tools, scripts, and software. Testing is an integral part of any successful software project. Automated Testing. Automated testing?

Software 52

Software Software Testing Best Practices 52