Dynatrace

JUNE 10, 2022

The IT world is rife with jargon — and “as code” is no exception. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency.

Best Practices 205

Best Practices Infrastructure Code Speed 205

Dynatrace

MAY 3, 2021

This is known as “security as code” — the constant implementation of systematic and widely communicated security practices throughout the entire software development life cycle. To mitigate security risks, comply with regulations, and align with good governance requires a coordinated effort among people, processes, and technology.

Code 156

Code DevOps Speed Government 156

Dynatrace

OCTOBER 17, 2019

We’re currently in a technological era where we have a large variety of computing endpoints at our disposal like containers, Platform as a Service (PaaS), serverless, virtual machines, APIs, etc. And, applying the “Everything as Code” principles can greatly help achieve that. Benefits of Everything as Code.

Code 108

Code Infrastructure DevOps Serverless 108

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 182

Artificial Intelligence Analytics Efficiency Database 182

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. Mission-critical risks in banking Dynatrace brings a flexible, easy-to-implement, and vertically integrated technology solution to risk management for banks.

Analytics 197

Analytics Infrastructure Efficiency Technology 197

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. Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. However, these practices cannot stand alone.

DevOps 187

DevOps Engineering Artificial Intelligence Infrastructure 187

DZone

JANUARY 25, 2024

Extended Berkeley Packet Filter (eBPF) is a programming technology designed for the Linux operating system (OS) kernel space, enabling developers to create efficient, secure, and non-intrusive programs.

Monitoring 161

Monitoring Programming Operating System Efficiency 161

Dynatrace

MARCH 28, 2024

Which technology trends are fueling business digital transformation? AI and DevOps, of course The C suite is also betting on certain technology trends to drive the next chapter of digital transformation: artificial intelligence and DevOps. And according to Statista , $2.4 trillion will be spent on digital transformation on 2024.

C++ 182

C++ Artificial Intelligence DevOps Innovation 182

DZone

OCTOBER 4, 2019

Multitasking is the MOST efficient. Which scopes, approaches, and test technology should be pursued in order to make testing more efficient? Testing in the enterprise is still a topic that is not as extensively used as it should be.

Efficiency 100

Efficiency Testing Technology Technology 100

Dynatrace

NOVEMBER 7, 2023

This complex web of interconnected technologies across a containerized environment introduces various challenges related to visibility, resource utilization, security, orchestration, and collaboration. Davis AI also provides resource consumption insights for efficient cost optimization and management features for scaling multiple teams.

Engineering 270

Engineering DevOps Best Practices Infrastructure 270

Dynatrace

FEBRUARY 1, 2024

A Cloud Carbon Footprint report found that global greenhouse gas emissions from the technology sector are on par or larger than the aviation industry. That looks like modernizing data centers from the ground up with sustainability and efficiency in mind and identifying underutilized infrastructure.

Cloud 207

Cloud Energy Innovation Infrastructure 207

Dynatrace

DECEMBER 21, 2023

A structured approach Reducing carbon emissions involves a combination of technology, practice, and planning. 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.

Cloud 205

Cloud Energy Best Practices Cache 205

Dynatrace

DECEMBER 12, 2023

And now, it has become integral to organizations’ efforts to drive efficiency and improve productivity. In fact, according to the recent Dynatrace survey , “The state of AI 2024,” the majority of technology leaders (83%) say AI has become mandatory. Artificial intelligence (AI) has revolutionized the business and IT landscape.

Artificial Intelligence 203

Artificial Intelligence DevOps Analytics Strategy 203

Dynatrace

DECEMBER 14, 2023

In today’s rapidly evolving business and technology landscape, organizations often prioritize the speed of development over security. 34% of CIOs say they sacrifice code security to deliver innovation quicker. Dynatrace + Snyk helps developers build apps securely, efficiently, and in line with their security and operations teams.

AWS 258

AWS Innovation Speed Efficiency 258

Dynatrace

MAY 17, 2023

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. It highlights the potential of GPT technology to drive “information democracy” even further.

Innovation 256

Innovation Software Software Artificial Intelligence 256

Tech News Gather

JUNE 1, 2023

Coding is necessary when it comes to every app development. As a result, no code platform is quickly revolutionizing the app development industry. However, it offers an efficient solution that helps start-ups and big companies. Let us explore the main reasons for the no-code app development in their projects.

Code 52

Code Development Innovation Efficiency 52

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. AI-enabled chatbots can help service teams triage customer issues more efficiently. As organizations adopt more AI technologies, the associated costs are skyrocketing. What is explainable AI?

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

Dynatrace

JULY 18, 2023

Dynatrace Configuration as Code enables complete automation of the Dynatrace platform’s configuration, ensuring that software is secure and reliable. With Configuration as Code, developers can manage their observability and security tasks with config files that can be developed alongside source code conveniently and at scale.

Best Practices 186

Best Practices Code Infrastructure Latency 186

Dynatrace

NOVEMBER 6, 2023

Dynatrace Grail™ data lakehouse unifies the massive volume and variety of observability, security, and business data from cloud-native, hybrid, and multicloud environments while retaining the data’s context to deliver instant, cost-efficient, and precise analytics. Digital transformation 2.0

Azure 176

Azure Analytics Artificial Intelligence Innovation 176

Dynatrace

NOVEMBER 28, 2023

Deploy stage In the deployment stage, the application code is typically deployed in an environment that mirrors the production environment. This step is crucial as this environment is used for the final validation and testing phase before the code is released into production. This approach effectively combats configuration drift.

Traffic 259

Traffic Best Practices Strategy Engineering 259

Dynatrace

MARCH 1, 2024

As a result, it is difficult to ensure application efficiency and ensure accurate delivery across touchpoints. The Dynatrace platform offers comprehensive observability and monitoring across the entire technology stack. This lack of end-to-end visibility leads to blind spots that impact customer satisfaction.

Analytics 186

Analytics Monitoring Website Efficiency 186

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 243

AWS Efficiency Azure Cloud 243

Dynatrace

SEPTEMBER 21, 2023

As global warming advances, growing IT carbon footprints are pushing energy-efficient computing to the top of many organizations’ priority lists. Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms.

Energy 230

Energy Cloud Airlines Strategy 230

Dynatrace

MAY 2, 2024

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. But only 21% said their organizations have established policies governing employees’ use of generative AI technologies.

Artificial Intelligence 226

Artificial Intelligence Cloud Best Practices DevOps 226

Testsigma

SEPTEMBER 28, 2021

PC: Technology vector created by stories – www.freepik.com. The compatibility of the code on different browsers, devices, OS combinations decides how the UI will be rendered on the front-end. HTML5 and CSS3 are the latest technology and older browsers do not support them. Reference: [link].

Efficiency 71

Efficiency Testing Testing Tools Website 71

Dynatrace

OCTOBER 16, 2023

At the Dynatrace Innovate conference in Barcelona, Bernd Greifeneder, Dynatrace chief technology officer, discussed key examples of how the Dynatrace observability platform delivers value well beyond traditional monitoring. As customers continue to operate in the cloud, their needs for efficiency and cost-effectiveness only grow.

Innovation 193

Innovation DevOps Cloud Efficiency 193

Dynatrace

DECEMBER 8, 2022

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. DevOps teams are responsible for all phases of the software development lifecycle, from code commit to the deployment of products and services. A DevOps platform engineer is a more recent term.

DevOps 187

DevOps Engineering Testing Open Source 187

Dynatrace

JANUARY 13, 2022

Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. They need automated DevOps practices.

DevOps 264

DevOps Speed Artificial Intelligence Innovation 264

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 209

Processing Monitoring Retail Analytics 209

Dynatrace

NOVEMBER 2, 2023

But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. The increasing complexity of cloud-native technologies has placed unprecedented pressure on DevOps teams. Automation is a crucial aspect of achieving DevOps excellence.

DevOps 201

DevOps Benchmarking Azure Innovation 201

Alex Podelko

DECEMBER 19, 2019

So here is the list of 21 sessions on my “to attend” list (check the full agenda as you may be interested in another topics and technologies – and there many more great sessions there) – in the same random order they are in the list of sessions). And, by the way, you may get a discount with my personal code Podelko10.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Emerging technology frameworks. What is a data lakehouse? Data management.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Dynatrace

JULY 11, 2023

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Architecture 167

Architecture Availability Infrastructure Metrics 167

Dynatrace

JUNE 20, 2023

As a front-runner for auto-instrumentation in the observability space, Dynatrace has rolled out support for these technologies to expand its coverage for mobile applications. Incorporating the latest advancements in technology allows companies to develop and deliver more reliable applications, resulting in smoother user experiences.

Mobile 259

Mobile Monitoring Entertainment Innovation 259

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 179

Artificial Intelligence DevOps Strategy Open Source 179

Smashing Magazine

FEBRUARY 2, 2022

Improving JavaScript Bundle Performance With Code-Splitting. Improving JavaScript Bundle Performance With Code-Splitting. JavaScript-based frameworks like React made the process of developing web applications streamlined and efficient, for better or worse. The answer lies in code-splitting. Adrian Bece. More after jump!

Code 89

Code Performance Network Website 89

Dynatrace

FEBRUARY 12, 2024

Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. Configuration as code is easy to use, update, and understand. These standards can be custom for specific teams, technologies, or criticalities.

Engineering 179

Engineering Development Infrastructure Cloud 179