Dynatrace

DECEMBER 21, 2023

Business processes are important because they improve the efficiency, consistency, and quality of the business outcome. Business process monitoring helps organizations: Increase efficiency by identifying and addressing bottlenecks or inefficiencies that may slow down a business process. Reduce costs.

Processing 213

Processing Monitoring Retail Analytics 213

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.” In this example, there is a suspicious increase in scripting events.

Artificial Intelligence 186

Artificial Intelligence Analytics Efficiency Database 186

Dynatrace

OCTOBER 17, 2023

AI can help automate tasks, improve efficiency, and identify potential problems before they occur. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. IT automation also helps improve operational efficiency by automating repetitive tasks.

Monitoring 226

Monitoring Artificial Intelligence Performance Analytics 226

Dynatrace

SEPTEMBER 5, 2023

By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data. Capacity planning.

Artificial Intelligence 263

Artificial Intelligence DevOps Analytics Engineering 263

Dynatrace

APRIL 18, 2024

Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. Observability and platform engineering: Unlock DevOps efficiency Platform engineering teams also benefit immensely from observability. However, these practices cannot stand alone.

DevOps 190

DevOps Engineering Artificial Intelligence Infrastructure 190

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. As a result, organizations will increasingly demand solutions that provide data observability to enable them to rapidly and securely ingest high-quality and reliable data that is ready for analytics on demand. Technology prediction No.

Technology 203

Technology Technology Artificial Intelligence Analytics 203

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. Let’s examine a few practical business process monitoring examples. In Business Flow, choose a configured business event to represent each step.

Processing 190

Processing Monitoring Analytics Games 190

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 247

AWS Efficiency Azure Cloud 247

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

APRIL 13, 2023

Efficient and effective log audit and forensics practices can require specialized understanding of cloud environments, applications, and log formats. for example, query web server logs from the past year for specific attack strings containing ). for example, what was the payload on these outgoing connections?)

Analytics 185

Analytics Java Infrastructure Cloud 185

Dynatrace

JANUARY 30, 2024

For example, AI is a great candidate for automating tedious, manual tasks such as aggregating data. You don’t really gain the efficiencies or the objectives that you need to be [gaining].” Additionally, as the program gathers more data, it will enable predictive analytics to forecast future talent and skill deficits.

Artificial Intelligence 202

Artificial Intelligence Government Innovation Programming 202

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

FEBRUARY 15, 2023

For example, with AutomationEngine, teams can automate remediation and progressive delivery to continuously evaluate application performance against specific, measurable service-level objectives. For example, teams can schedule a routine task or routing alerts with a visual drag-and-drop workflow creation experience.

Code 212

Code DevOps Cloud Analytics 212

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. Artificial intelligence, including more recent advances in generative AI , is becoming increasingly important as organizations look to modernize how IT operates.

Artificial Intelligence 183

Artificial Intelligence DevOps Strategy Open Source 183

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. Let’s shift our focus to the backend systems and business processes, the behind-the-scenes heroes of end-to-end customer experience.

Retail 202

Retail Logistics Innovation Analytics 202

All Things Distributed

MARCH 11, 2015

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 135

Analytics Cloud Healthcare Retail 135

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 195

Programming Government Analytics Efficiency 195

Dynatrace

FEBRUARY 1, 2024

For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience. Any problem, such as a simple software update overburdening a critical database, can cause a ripple effect that degrades the performance of dependent services or applications.

Infrastructure 181

Infrastructure Metrics Network Monitoring 181

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

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

MAY 2, 2024

Rising consumer expectations for transparency and control over their data, combined with increasing data volumes, contribute to the importance of swift and efficient management of privacy rights requests. How can this services administrator meet this request in a quick, compliant, and efficient way?

Tuning 225

Tuning Scalability Efficiency Processing 225

Dynatrace

DECEMBER 21, 2023

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. This computational efficiency also reduces energy consumption, which in turn reduces carbon emissions. A PUE of 1.0

Cloud 209

Cloud Energy Best Practices Cache 209

Dynatrace

JUNE 14, 2023

And specifically, how Dynatrace can help partners deliver multicloud performance and boundless analytics for their customers’ digital transformation and success. Silos are converging within different roles, for example, and different audiences need different views of data for monitoring and securing cloud-native environments.

Programming 180

Programming Analytics Innovation Best Practices 180

Dynatrace

SEPTEMBER 30, 2021

Not only will they get much more out of the tools they use daily, but they’ll also be able to deliver superior functionality, efficiency, and performance to your customers. In addition, 45% of them have gone on to implement efficiencies in their roles, and 43% reported they were able to do their job more quickly after getting certified.

AWS 209

AWS Best Practices Analytics Cloud 209

The Netflix TechBlog

NOVEMBER 14, 2023

For example, the customer account lifecycle in a business might involve multiple stages, such as account creation, plan upgrades, downgrades, and cancellation. Input parameters in this step include the following: Initialization for Stateless Data Processing Let’s use the signup fact table as an example here.

Processing 226

Processing Data Engineering Efficiency Analytics 226

Dynatrace

JANUARY 31, 2024

For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Using the example of a chatbot, once the user submits a natural language prompt, RAG summarizes that prompt using semantic data. Consequently, AI model drift and hallucinations emerge as primary concerns.

Cache 204

Cache Azure Infrastructure Monitoring 204

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 260

Innovation Software Software Artificial Intelligence 260

Dynatrace

JUNE 5, 2023

As web applications commonly use load balancers, such as F5 BIG-IP, Dynatrace customers often seek to enhance their monitoring capabilities by integrating it with Dynatrace comprehensive monitoring and AI-powered analytics. Example of an automatically generated dashboard for F5 instances. Example F5 overview dashboard.

Traffic 194

Traffic Virtualization Metrics Monitoring 194

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.

Government 203

Government Infrastructure Programming Cloud 203

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Given our role on this critical path, accuracy is paramount. Let’s dive in!

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

APRIL 6, 2022

Previously, developers would provision APIs and API gateways in order to configure all the desired lambda function settings making for longer setup times and decreased efficiency. Increased efficiency for Lambda function configurations. Simplify error analytics. Lambda Function URLs benefits. Lambda Function URLs benefits.

Lambda 166

Lambda AWS Serverless Infrastructure 166

Dynatrace

OCTOBER 17, 2023

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. For example, this includes the following: Click to query. Beware, you might be surprised how cost-efficient most of the queries are!

Retail 237

Retail Storage Best Practices Architecture 237

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

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs).

Monitoring 203

Monitoring Social Media IoT Metrics 203

Dynatrace

NOVEMBER 2, 2022

Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. In another survey, for example, 85% of respondents said their organizations have increasingly shifted toward creating digital experiences.

Software 195

Software Software Artificial Intelligence DevOps 195

The Netflix TechBlog

MAY 28, 2021

Part of our series on who works in Analytics at Netflix?—?and Upon graduation, they received an offer from Netflix to become an analytics engineer, and pursue their lifelong dream of orchestrating the beautiful synergy of analytics and entertainment. That person grew up dreaming of working in the entertainment industry.

Healthcare 200

Healthcare Entertainment Analytics Programming 200