Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

DECEMBER 5, 2023

Without observability, the benefits of ARM are lost Over the last decade and a half, a new wave of computer architecture has overtaken the world. ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use.

Efficiency 273

Efficiency Architecture Energy Monitoring 273

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 203

Architecture DevOps Monitoring Programming 203

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 196

Software Software Analytics Big Data 196

Dynatrace

FEBRUARY 10, 2023

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics.

Efficiency 284

Efficiency Performance Analytics DevOps 284

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. These services are tailored to meet various business requirements.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 8, 2024

If system failures occur, teams must resolve them quickly and resolutely. Maximizing a strong foundation of IT infrastructure performance and security means effectively utilizing all the data that these systems produce to drive risk management processes and decision-making. Automated risk management workflows, processes, and decisions.

Analytics 210

Analytics Infrastructure Efficiency Technology 210

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We rolled out encoding innovations such as per-title and per-shot optimizations, which provided significant quality-of-experience (QoE) improvement to Netflix members. This introductory blog focuses on an overview of our journey.

Processing 229

Processing Media Latency Innovation 229

Dynatrace

OCTOBER 17, 2023

Vulnerabilities for critical systems A global leader in the energy space found itself asking this very question. Additionally, the energy company didn’t have systems in place to engage in automated remediation were an attack to unfold.

Energy 201

Energy Artificial Intelligence AWS Lambda 201

Dynatrace

FEBRUARY 26, 2024

During the Dynatrace annual user conference, Perform , the Partner Summit session returned, welcoming Global System Integrators (GSIs), Hyperscalers, and Cloud Solutions Partners to participate. Building apps and innovations. Spotlight on platform capabilities.

Artificial Intelligence 203

Artificial Intelligence IoT Programming Innovation 203

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. But, as resources move off premises, IT teams can lose visibility into system performance and security issues. What is predictive AI?

AWS 217

AWS Artificial Intelligence Analytics Cloud 217

Dynatrace

AUGUST 21, 2023

A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. To stay ahead of the curve, organizations should focus on strategic, proactive innovation and optimization. Free IT teams to focus on and support product innovation.

Analytics 148

Analytics Innovation Infrastructure Scalability 148

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.

Cloud 195

Cloud DevOps Open Source Retail 195

Dynatrace

OCTOBER 28, 2020

As a PSM system administrator, you’ve relied on AppMon as a preconfigured APM tool for detecting, diagnosing, and repairing problems that impact the operational health of your Windchill application suite. This enables organizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort.

Monitoring 150

Monitoring Systems Infrastructure Cloud 150

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. But what is observability? Why is it important, and what can it actually help organizations achieve? What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges.

Cache 212

Cache Azure Infrastructure Monitoring 212

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. They are required to understand the full story of what happened in a system. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 262

Cloud Azure Analytics AWS 262

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. These DevSecOps trends will also aid teams as they integrate security and compliance into processes without slowing innovation or creating additional work for already time-strapped teams. Dynatrace news.

Serverless 274

Serverless Infrastructure Innovation DevOps 274

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. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 235

AWS Lambda Artificial Intelligence Serverless 235

Dynatrace

AUGUST 7, 2023

They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. These precise answers and intelligent automations free security analysts from manual activities and enable them to focus on innovating. Teams need a solution that can identify security risks and prioritize remediation steps.

DevOps 194

DevOps Analytics Best Practices Java 194

Dynatrace

JANUARY 23, 2024

Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. The goal of the practice is to reduce manual effort and redundant tasks to allow developers to spend more time innovating. How can organizations use AI observability to optimize AI costs?

Performance 195

Performance DevOps Innovation Artificial Intelligence 195

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. These systems are generating more data than ever, and teams simply can’t keep up with a manual approach. How exactly does it differ from machine learning? What is artificial intelligence?

Artificial Intelligence 183

Artificial Intelligence DevOps Analytics Cloud 183

Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Rural lifestyle retail giant Tractor Supply Co. ” Three years ago, Tractor Supply Co.

Cloud 179

Cloud Ecommerce Performance Retail 179

Dynatrace

MARCH 24, 2023

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. Docker containers can share an underlying operating system kernel, resulting in a lighter weight, speedier way to build, maintain, and port application services.

Infrastructure 195

Infrastructure Open Source Operating System Cloud 195

Dynatrace

MAY 8, 2023

Consumers expect personalized, proactive, and convenient service, which traditional application architectures often struggle to provide. It often involves replacing legacy systems and workflows that have been in place for years or even decades. Improved customer experience. Competitive advantage. Turn off the tools you no longer need.

Strategy 183

Strategy Retail DevOps Education 183

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Moreover, the system lacks flexibility, imposing strict schemas that administrators and developers must adhere to avoid additional costs. As a result, the company awarded customers gift cards for system failures, creating an additional cost.

Retail 245

Retail Storage Best Practices Architecture 245

Dynatrace

FEBRUARY 15, 2023

The ability to create custom apps becomes increasingly important as organizations strive to innovate and grow. Additionally, its modern architecture delivers cost-effective storage and compute. Further, the EdgeConnect capability allows secure connections to on-premises systems. Site Reliability Guardian.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

OCTOBER 17, 2022

Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). This process continues until the system identifies a root cause. The four stages of data processing.

DevOps 205

DevOps Artificial Intelligence Healthcare Innovation 205

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. Fully conceptualizing capacity requirements. Common findings.

AWS 147

AWS Artificial Intelligence Best Practices Lambda 147

Dynatrace

OCTOBER 14, 2021

These systems are often difficult to scale because the underlying ML engine doesn’t provide continuous, real-time insight into the precise root cause of issues. This contrasts stochastic AIOps approaches that use probability models to infer the state of systems. Why is AIOps needed? Challenges of traditional AIOps.

Artificial Intelligence 221

Artificial Intelligence DevOps Innovation Metrics 221

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

JUNE 15, 2023

If your application runs on servers you manage, either on-premises or on a private cloud, you’re responsible for securing the application as well as the operating system, network infrastructure, and physical hardware. What are some key characteristics of securing cloud applications? Why is cloud application security so critical?

Cloud 185

Cloud Open Source Architecture Monitoring 185

Dynatrace

JUNE 28, 2021

Between multicloud environments, container-based architecture, and on-premises infrastructure running everything from the latest open-source technologies to legacy software, achieving situational awareness of your IT environment is getting harder to achieve. The challenge? Worth noting? Integrate monitoring on a single AIOps platform.

Infrastructure 185

Infrastructure Monitoring Artificial Intelligence Open Source 185

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. In another survey, using multiple metrics for overall popularity, PostgreSQL ranks as the fourth most popular database management system ( DB-Engines, March 2023 ). PostgreSQL is open source relational database management software.

Open Source 78

Open Source Healthcare Social Media Database 78

O'Reilly Software

OCTOBER 23, 2018

I should start by saying this section does not offer a treatise on how to do architecture. Technology systems are difficult to wrangle. Our systems grow in accidental complexity and complication over time. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved.

Strategy 100

Strategy Architecture Technology Technology 100