Dynatrace

MAY 23, 2022

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?

Architecture 195

Architecture DevOps Monitoring Programming 195

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures.

Architecture 246

Architecture Software Software Development 246

Dynatrace

JULY 7, 2022

Many organizations are taking a microservices approach to IT architecture. However, in some cases, an organization may be better suited to another architecture approach. Therefore, it’s critical to weigh the advantages of microservices against its potential issues, other architecture approaches, and your unique business needs.

Architecture 200

Architecture Serverless Azure Programming 200

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures.

Architecture 244

Architecture Software Software Development 244

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Captures metrics, traces, logs, and other telemetry data in context.

Architecture 170

Architecture Availability Infrastructure Metrics 170

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

MARCH 6, 2024

Some 85% of technology leaders say the number of tools, platforms, dashboards, and applications they rely on adds to the complexity of managing a multicloud environment. Manual monitoring processes are also too time-consuming, which distracts teams from tasks that create new value for customers and the business.

Analytics 191

Analytics Innovation Strategy Storage 191

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 209

Cloud Energy Best Practices Cache 209

Official Blog - World Web Technology

DECEMBER 4, 2023

How does it contribute to the software development process ? This article will explain why most companies and their software developers use SDLC to manage their development process. SDLC is an essential framework for the total software development process as it aids in managing software development projects effectively.

Processing 64

Processing Software Software Development 64

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. Architecture. That looks like modernizing data centers from the ground up with sustainability and efficiency in mind and identifying underutilized infrastructure.

Cloud 210

Cloud Energy Innovation Infrastructure 210

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 229

Artificial Intelligence Cloud Best Practices DevOps 229

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. Discover how AI is reshaping the cloud and what this means for the future of technology.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Scalegrid

FEBRUARY 8, 2024

This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology. Distributed Storage Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database.

Storage 130

Storage Systems Big Data Azure 130

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. Massively parallel processing. What is a data lakehouse?

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

Dynatrace

JANUARY 18, 2024

DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. Automation and analysis features, in particular, have boosted operational efficiency and performance by tracking and responding to complex or information-dense situations.

Artificial Intelligence 212

Artificial Intelligence Healthcare Government Technology 212

Dynatrace

JANUARY 23, 2024

Dynatrace unified observability and security is critical to not only keeping systems high performing and risk-free, but also to accelerating customer migration, adoption, and efficient usage of their cloud of choice. What will the new architecture be? What can we move? How can we ensure we see performance gains once migrated?

Cloud 211

Cloud Artificial Intelligence Performance AWS 211

Dynatrace

OCTOBER 4, 2023

Business resilience is when organizations have systems and processes in place to protect against unforeseen shocks and build organizational agility. In part, business resilience involves an approach to building a technology environment that enables an enterprise to adapt quickly to changing circumstances.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up.

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

Dynatrace

JANUARY 31, 2024

It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges.

Cache 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

MARCH 29, 2024

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. In fact, more than half of organizations use Kubernetes in production. We can see that one node has memory pressure. It’s using 1.5

Engineering 225

Engineering DevOps Operating System Open Source 225

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.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

MARCH 14, 2024

Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Netflix TechBlog

NOVEMBER 17, 2022

To do so, we continuously push the boundaries of streaming video quality and leverage the best video technologies. A distinct, NN-based, video processing block can evolve independently, be used beyond video downscaling and be combined with different codecs. How do we apply neural networks at scale efficiently?

Network 292

Network Media Innovation Efficiency 292

Dynatrace

DECEMBER 8, 2022

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. It coincides with the advent of complex, distributed cloud technologies such as microservices and containers. But they struggle to keep up with the underlying tooling and processes.

DevOps 191

DevOps Engineering Testing Open Source 191

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. Ingest and process with Grail. Thus, Grail was born. Retain data.

Artificial Intelligence 267

Artificial Intelligence Analytics Storage Architecture 267

Dynatrace

APRIL 19, 2024

Let’s explore some real-life custom solution examples that leverage the power of the Dynatrace core platform technologies to go beyond observability. The app scans all incoming logs for various patterns and uses DQL (Dynatrace Query Language) to collect context like hosts, other processes, and traces for each potential problem.

AWS 220

AWS Analytics Cloud Monitoring 220

Dynatrace

OCTOBER 23, 2023

At financial services company, Soldo, efficiency and security by design are paramount goals. This is especially true as organizations rely more on diverse and nimble cloud-native and open source technologies. This is especially true as organizations rely more on diverse and nimble cloud-native and open source technologies.

Design 217

Design Innovation DevOps Open Source 217

Dynatrace

JUNE 26, 2023

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. The result is increased efficiency, reduced operating costs, and enhanced productivity. Automate DevSecOps processes at scale. Software is behind most of our human and business interactions.

Software 187

Software Software Analytics Big Data 187

Dynatrace

OCTOBER 16, 2023

While customers use observability platforms to identify issues in cloud environments, the next chapter of value is removing manual work from processes and building IT automation into their organizations. Organizations need to incorporate IT automation into their processes to take action on the data they gather. Greifeneder noted.

Innovation 197

Innovation DevOps Cloud Efficiency 197

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA automates repetitive cloud operations tasks and streamlines the flow of analytics into decision-making processes.

Analytics 188

Analytics Artificial Intelligence Big Data Open Source 188

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

MARCH 18, 2024

FinOps aligns technology initiatives with business objectives while maintaining financial transparency and accountability to reduce unnecessary cloud spend and lower costs. Suboptimal architecture design. This proactive alerting involves combining many technologies that already exist in the Dynatrace platform.

Best Practices 232

Best Practices Strategy Cloud AWS 232

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Thus making it an ideal choice for businesses seeking a successful implementation of their multi-cloud strategy.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

DECEMBER 15, 2022

Soaring energy costs and rising inflation have created strong macroeconomic headwinds that force organizations to prioritize efficiency and cost reduction. However, organizational efficiency can’t come at the expense of innovation and growth. Observability trend no. It’s not just the huge increase in payloads transmitted.

Artificial Intelligence 251

Artificial Intelligence Analytics Innovation Healthcare 251

Dynatrace

OCTOBER 4, 2022

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. This approach is cumbersome and challenging to operate efficiently at scale.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. This data overload also prevents customer-centric pricing models as users consider cost-effective technology platforms. Ingest and process. The data generated by applications to support operational teams has reached overwhelming proportions.

Retail 237

Retail Storage Best Practices Architecture 237