Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. 2: AI-generated code will create the need for digital immune systems. In 2024, more organizations will experience major digital service outages due to poor-quality and insufficiently supervised software code.

Technology 203

Technology Technology Artificial Intelligence Analytics 203

Dynatrace

APRIL 18, 2024

Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. 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.

DevOps 190

DevOps Engineering Artificial Intelligence Infrastructure 190

Dynatrace

DECEMBER 12, 2023

And now, it has become integral to organizations’ efforts to drive efficiency and improve productivity. 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. Artificial intelligence (AI) has revolutionized the business and IT landscape.

Artificial Intelligence 206

Artificial Intelligence DevOps Analytics Strategy 206

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

FEBRUARY 9, 2024

This collaboration increases process efficiency and improves customer satisfaction by identifying opportunities for process improvement and detecting process anomalies in real time. OneAgent business events require no code changes, just a simple configuration to define capture rules.

Processing 189

Processing Monitoring Analytics Games 189

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. A PUE of 1.0

Cloud 209

Cloud Energy Best Practices Cache 209

Dynatrace

MARCH 29, 2024

As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. At the same time, challenges remain as organizations aim to become more automated. Some of these challenges involve basic tasks—such as data collection.

Artificial Intelligence 182

Artificial Intelligence DevOps Strategy Open Source 182

Dynatrace

MAY 17, 2023

This is one example of the many use cases we’re exploring. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. It highlights the potential of GPT technology to drive “information democracy” even further.

Innovation 259

Innovation Software Software Artificial Intelligence 259

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. Organizations need to consider which teams are in charge of securing software assets. Dynatrace provides just such a solution.

Programming 194

Programming Government Analytics Efficiency 194

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. It is common to refer to these together as log management and analytics.

Systems 185

Systems Cloud Analytics DevOps 185

Dynatrace

AUGUST 28, 2023

These retail-business processes must work together efficiently to orchestrate customer satisfaction: Inventory management ensures you can anticipate and meet dynamic customer demand. Business data must be easy to access without modifying code to reduce the burden on development and maintenance resources.

Retail 202

Retail Logistics Innovation Analytics 202

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. What is explainable AI?

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Increased efficiency for Lambda function configurations. Simplify error analytics. What are AWS Lambda Function URLs.

Lambda 166

Lambda AWS Serverless Infrastructure 166

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 237

Retail Storage Best Practices Architecture 237

Dynatrace

JULY 6, 2022

IT automation is the practice of using coded instructions to carry out IT tasks without human intervention. At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. What is IT automation?

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

Dynatrace

AUGUST 25, 2023

Yet upgrading antiquated systems and effectively integrating them into modern workflows is challenging despite the potential to increase efficiency, improve security, reduce the higher operational costs associated with supporting tech debt, and avoid the foreseeable breaks in end-of-life apps. IT modernization can help.

Government 203

Government Infrastructure Programming Cloud 203

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For example, if an application is storing shopping carts, it might be useful to find all shopping carts with a total value that exceeds a specified threshold so that these shoppers can be given special attention. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For example, if an application is storing shopping carts, it might be useful to find all shopping carts with a total value that exceeds a specified threshold so that these shoppers can be given special attention. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Increased efficiency for Lambda function configurations. Simplify error analytics. What are AWS Lambda Function URLs.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. Observability challenges in serverless applications can be therefore categorized into: Data collection : how to collect metrics, logs and traces from serverless functions efficiently, reliably, and consistently? Such anomalies can be caused by function cold-starts.

Serverless 207

Serverless Lambda Azure AWS 207

Scalegrid

DECEMBER 14, 2023

For example, your payment history might be on one database cluster and your analytics records on another cluster. If your analytics server is down, then each operation will wait for a default of 30 seconds before failing (which may or may not be what you want). Careful consideration must be given before making changes.

Java 130

Java Network Servers Database 130

Smashing Magazine

NOVEMBER 2, 2021

Creating A Magento PWA: Customizing Themes vs. Coding From Scratch. Creating A Magento PWA: Customizing Themes vs. Coding From Scratch. Cost-Efficient And Effort-Saving Development. One of the reasons for that is because a PWA has the same code base. Below is an example of the Netatmo PWA. Alex Husar. Why is that?

Code 74

Code Cache Retail Mobile 74

Dynatrace

OCTOBER 14, 2022

To further enrich log data for automated observability, it’s necessary to dynamically tie logs to distributed traces on the code level, user sessions in the app front-end, and the topology of your IT landscape. If a more granular rule is present on the host level, that rule will precede any blanket rule on, for example, the tenant level.

Storage 227

Storage Government Network Infrastructure 227

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

FEBRUARY 2, 2022

For example, the IT team of a bank wants to ensure that for a trailing 30-day period there is 99.9% For example, constant SLO violations of service availability for the check deposit application would create customer dissatisfaction leading to potential revenue impact. Let’s take service availability for example.

DevOps 196

DevOps Metrics Best Practices Latency 196

Dynatrace

AUGUST 28, 2020

Azure Data Lake Analytics. For this, we selected three example services: Azure Automation, Azure Data Factory, and Azure Logic Apps. Azure Data Factory is a hybrid data integration service that enables you to quickly and efficiently create automated data pipelines—without writing any code. Azure Logic Apps.

Azure 155

Azure Cloud Tuning Monitoring 155

Dynatrace

NOVEMBER 8, 2021

The right APM tool will also help you keep a close eye on application transactions along with their business context and code-level detail. A truly modern APM solution provides business analytics, such as conversions, release success, and user outcomes across web, mobile, and IoT channels, linking application performance to business KPIs.

Artificial Intelligence 232

Artificial Intelligence Monitoring Infrastructure Cloud 232

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. For example, users generate user data, ecommerce sites generate business data, and service portals generate service desk tickets and call volume data. But it doesn’t stop there.

Analytics 191

Analytics Software Software Storage 191

Dynatrace

OCTOBER 30, 2023

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

Best Practices 243

Best Practices Analytics Artificial Intelligence Infrastructure 243

Dynatrace

JANUARY 31, 2024

By putting data in context, OpenPipeline enables the Dynatrace platform to deliver AI-driven insights, analytics, and automation for customers across observability, security, software lifecycle, and business domains. 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

JANUARY 6, 2020

We also made the point that machine learning systems can improve IT efficiency; speeding analysis by narrowing focus. But with autonomous IT operations on the horizon, it’s important to understand the path to intellectual debt and its impact on both efficiency and innovation.

Artificial Intelligence 145

Artificial Intelligence Efficiency Analytics Innovation 145

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Here are some examples: IT infrastructure and operations. For example, cloud operations professionals can identify problems before they affect users.

Analytics 130

Analytics Storage Cloud DevOps 130

ScaleOut Software

NOVEMBER 24, 2020

Rapid advances in the telematics industry have dramatically boosted the efficiency of vehicle fleets and have found wide ranging applications from long haul transport to usage-based insurance. It comprises message-processing code and state variables which host dynamically evolving contextual information about the data source.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Dynatrace

DECEMBER 5, 2023

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Energy efficiency and carbon footprint outshine x86 architectures The first clear benefit of ARM in the enterprise IT landscape is energy efficiency.

Efficiency 266

Efficiency Architecture Energy Monitoring 266

The Netflix TechBlog

JULY 20, 2020

and thanks to the magic of open source, it’s only about a hundred lines of Python code. In our example, “log in error, check log” might have a five-dimensional embedding vector [0.1, Our solution produces 20,000 candidate lines in 20 min of computing?—?and 0.3, -0.5, -0.7, and “problem authenticating” might be [0.1, 0.35, -0.5, -0.7,

Development 177

Development Open Source Tuning Network 177

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. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Logs on Grail Log data is foundational for any IT analytics. Open source solutions are also making tracing harder.

Analytics 186

Analytics Innovation Metrics Database 186