Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. SREs and DevOps engineers need cloud logs in an integrated observability platform to monitor the whole software development lifecycle.

Cloud 251

Cloud Lambda AWS Analytics 251

Dynatrace

JUNE 26, 2023

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? What is software automation?

Software 186

Software Software Analytics Big Data 186

Dynatrace

APRIL 22, 2024

In trans-Atlantic and global business relationships, the privacy frameworks and regulations in various regions must be aligned to allow efficient collaboration between enterprises and other involved institutions. DPF) was respectively developed by the U.S. Data Privacy Framework Program (The EU-U.S. DPF, UK Extension to the EU-U.S.

Government 223

Government Programming Analytics Efficiency 223

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous.

Artificial Intelligence 185

Artificial Intelligence Analytics Efficiency Database 185

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

APRIL 18, 2024

Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. This real-time awareness enables teams to rapidly detect and resolve issues: both indispensable capabilities for maintaining the agility and reliability that are central to DevOps and platform engineering processes.

DevOps 189

DevOps Engineering Artificial Intelligence Infrastructure 189

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. As developers continue to use generative AI-powered autonomous agents to write code, organizations will be exposed to greater risks of unexpected problems that affect customer and user experiences. Technology prediction No.

Technology 202

Technology Technology Artificial Intelligence Analytics 202

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. AI-enabled chatbots can help service teams triage customer issues more efficiently. Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations.

Performance 185

Performance DevOps Innovation Artificial Intelligence 185

Dynatrace

FEBRUARY 28, 2024

Validation stage overview The validation stage is a crucial step in the CI/CD (Continuous Integration/Continuous Deployment) process. These prolonged processes not only strain resources but also introduce delays within the CI/CD pipeline, hampering the timely release of new features to end-users.

DevOps 202

DevOps Metrics Engineering Analytics 202

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Improving data quality is a strategic process that involves all organizational members who create and use data. Another common impediment is manual data tagging and handling, an error-prone process that teams should minimize.

Government 199

Government Analytics Benchmarking Storage 199

Dynatrace

SEPTEMBER 8, 2022

Event logging and software tracing help application developers and operations teams understand what’s happening throughout their application flow and system. While logging is the act of recording logs, organizations extract actionable insights from these logs with log monitoring, log analytics, and log management.

Systems 185

Systems Cloud Analytics DevOps 185

Dynatrace

AUGUST 28, 2023

Let’s shift our focus to the backend systems and business processes, the behind-the-scenes heroes of end-to-end customer experience. These retail-business processes must work together efficiently to orchestrate customer satisfaction: Inventory management ensures you can anticipate and meet dynamic customer demand.

Retail 201

Retail Logistics Innovation Analytics 201

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. Organizations are turning to AI to automate manual tasks and see immediate benefits in IT operations, cybersecurity, and application development or DevOps.

Artificial Intelligence 182

Artificial Intelligence DevOps Strategy Open Source 182

Dynatrace

OCTOBER 19, 2023

Assuming the responsibility and taking the initiative to instill effective cybersecurity practices now will yield benefits in terms of enhanced productivity and efficiency for your organization in the future. This approach helps organizations deliver more secure software and infrastructure with greater efficiency and speed.

Best Practices 208

Best Practices Benchmarking Speed Infrastructure 208

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

NOVEMBER 5, 2023

Furthermore, an accelerating digital-centric economy pushes us closer to the edge—processing client data as close to the originating source as possible. The surge of the internet of things (IoT) has led to the exponential growth of applications and data processing at the edge.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

Dynatrace

FEBRUARY 15, 2023

To tame this complexity and deliver differentiated digital experiences, IT, development, security, and business teams need automated workflows throughout these cloud ecosystems. Others lack causal AI to process data in full context that can actually pinpoint the root cause of problems.

Code 210

Code DevOps Cloud Analytics 210

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

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. This significantly increases event latency.

Engineering 130

Engineering Tuning Latency Open Source 130

Dynatrace

FEBRUARY 16, 2023

You have to get automation and analytical capabilities.” Throw in behavioral analytics, metadata, and real-user data. … And if you do, and if you have an AIOps engine [which brings AI to IT operations] that enables that process to be effective, then that makes you so much more powerful in the management of that ecosystem.”

Artificial Intelligence 193

Artificial Intelligence Analytics Cloud Innovation 193

The Netflix TechBlog

JULY 20, 2020

The application is a combination of neural embeddings , which encode the semantic information in words and sentences, and locality sensitive hashing , which efficiently assigns approximately nearby items to the same buckets and faraway items to different buckets.

Development 177

Development Open Source Tuning Network 177

Dynatrace

APRIL 13, 2023

It requires an understanding of cloud architecture and distributed systems, with the goal of automating processes. Cloud infrastructure and applications scale dynamically, which generates a large volume of logs at high This can make it challenging to process, store, and analyze them in real time. Skills and expertise.

Analytics 184

Analytics Java Infrastructure Cloud 184

Dynatrace

SEPTEMBER 30, 2021

Recently, 53 Dynatracers convened in a Zoom room for 5 action-packed hours to take on our first AWS GameDay challenge, an event we participated in to help our developers accelerate their AWS certification path. What is the value of AWS training and certification? Then this one’s for you.

AWS 208

AWS Best Practices Analytics Cloud 208

Dynatrace

FEBRUARY 16, 2023

The number of containers pushed from development into production continues to increase—as does the speed of container deployment. This introduces challenges for security and development teams. “By Leveraging Dynatrace ® AppEngine, we’ve developed an app called DevSecOps Lifecycle Coverage with Snyk.

Programming 194

Programming Government Analytics Efficiency 194

Dynatrace

JULY 6, 2022

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. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. Development and demand for AI tools come with a growing concern about their environmental cost.

Cache 204

Cache Azure Infrastructure Monitoring 204

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

JANUARY 5, 2023

As the globe strides into 2023 — with rapid change and macroeconomic uncertainty looming — organizations want tools and technologies that enable them to become more efficient, reduce costs, and innovate more. In its most basic form, IT automation executes scripts or processes on a schedule or in response to particular events.

Artificial Intelligence 147

Artificial Intelligence Innovation Technology Technology 147

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

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Adding to the complexity are containers–tools for cloud development—which can be ephemeral. What is AIOps? AI for ITOps–and beyond.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

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 202

Government Infrastructure Programming Cloud 202

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. When I was growing up, I developed a strong interest in the space program.

Healthcare 200

Healthcare Entertainment Analytics Programming 200

Dynatrace

JUNE 14, 2023

And specifically, how Dynatrace can help partners deliver multicloud performance and boundless analytics for their customers’ digital transformation and success. We know that meaningful results are achieved when customer experience is optimized by our partners, and this year, Dynatrace has developed new avenues to help promote this.

Programming 179

Programming Analytics Innovation Best Practices 179

The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. I developed many batch and real-time data pipelines using open source technologies for AOL Advertising and eBay. What is your favorite project?

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

All Things Distributed

DECEMBER 1, 2016

At AWS, we want to be the Q for developers, giving them the super-powered tools and services with deep features in the Cloud. In the hands of builders, the impact of these services has been to completely transform the way applications are developed, debugged, and delivered to customers. Transformation in Data.

AWS 162

AWS Development Lambda Open Source 162

Dynatrace

DECEMBER 16, 2022

That’s why development, operations, IT, and business teams need a software intelligence platform that eliminates complexity with the power of AI and automation. AI-powered precise answers and timely insights with ad-hoc analytics. Should you build or buy a software intelligence platform? Automation at scale.

Innovation 196

Innovation Software Software Cloud 196