Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. The Serverless Process.

Serverless 243

Serverless Efficiency Lambda Azure 243

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 199

Architecture Serverless Azure Programming 199

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 194

Architecture DevOps Monitoring Programming 194

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

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

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

DZone

JANUARY 11, 2024

Neuromorphic chips represent a significant leap in computing, borrowing inspiration from the neural architecture of the human brain. Unlike traditional computer designs that employ von Neumann-based processors, neuromorphic chips mimic the neural network topology of the brain, allowing more efficient and adaptive computing systems.

Architecture 152

Architecture Network Efficiency Design 152

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

The Netflix TechBlog

SEPTEMBER 29, 2022

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5

Latency 212

Latency Systems Media Serverless 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

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. You might optimize your cooling system or move your data center to a colder region with reduced cooling demands. Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure.

Cloud 208

Cloud Energy Best Practices Cache 208

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

NOVEMBER 9, 2023

Kubernetes is a widely used open source system for container orchestration. However, managing Kubernetes optimally can be a daunting task due to its complex architecture. However, they can also be used to monitor optimization processes effectively.

Efficiency 273

Efficiency Monitoring Best Practices Open Source 273

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

Dynatrace

APRIL 19, 2024

Figure 1: Overview of upcoming resizing operations Developer Observability app provides a shared view of issues Dynatrace production systems generate about 10 TB of log data each day, which contains valuable information about errors and other issues.

AWS 220

AWS Analytics Cloud Monitoring 220

Dynatrace

OCTOBER 23, 2023

At financial services company, Soldo, efficiency and security by design are paramount goals. Since 2015, the Soldo business spend management platform has provided companies with a simple and efficient way to better spend and control company money. to be efficient and fast at what we do,” Domenella said.

Design 216

Design Innovation DevOps Open Source 216

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 146

Monitoring Systems Infrastructure Cloud 146

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. The Greenplum Architecture. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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

JUNE 26, 2023

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. It provides valuable insight into complex public, private, and hybrid cloud IT structures, systems, and frameworks. Software is behind most of our human and business interactions. Digital experience.

Software 187

Software Software Analytics Big Data 187

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It removes much of the guesswork of untangling complex system issues and establishes with certainty why a problem occurred. That’s where causal AI can help. Causal AI is particularly effective in observability. Timeliness.

Government 199

Government Analytics Benchmarking Storage 199

Dotcom-Montior

NOVEMBER 24, 2021

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify. What is a Distributed System?

Systems 74

Systems Monitoring Hardware Network 74

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. 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.

Cache 204

Cache Azure Infrastructure Monitoring 204

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 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

OCTOBER 4, 2022

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. Ingest and process with Grail. It’s based on cloud-native architecture and built for the cloud.

Artificial Intelligence 267

Artificial Intelligence Analytics Storage Architecture 267

The Netflix TechBlog

NOVEMBER 14, 2023

In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! We’ll discuss batch data processing, the limitations we faced, and how Psyberg emerged as a solution. Let’s dive in! What is late-arriving data? How does late-arriving data impact us?

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

OCTOBER 4, 2023

Business resilience is when organizations have systems and processes in place to protect against unforeseen shocks and build organizational agility. Companies that exploit these technologies can discover risks early, remediate problems, and to innovate and operate more efficiently are likely to achieve competitive advantage.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

DECEMBER 8, 2022

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. They are similar to site reliability engineers (SREs) who focus on creating scalable, highly reliable software systems. ” What does a DevOps platform engineer do? .” Atlassian Jira.

DevOps 190

DevOps Engineering Testing Open Source 190

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. The resulting vast increase in data volume highlights the need for more efficient data handling solutions.

Best Practices 243

Best Practices Analytics Artificial Intelligence Infrastructure 243

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. Communication methods.

Artificial Intelligence 212

Artificial Intelligence Healthcare Government Technology 212

Dynatrace

OCTOBER 4, 2022

Application and system logs are often collected in data silos using different tools, with no relationships between them, and then correlated in manual and often meaningless ways. Further, these resources support countless Kubernetes clusters and Java-based architectures. Clearly, this works against the goal of digital transformation.

Analytics 220

Analytics Storage Infrastructure Metrics 220

Dynatrace

FEBRUARY 23, 2022

DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues.

Serverless 264

Serverless Infrastructure Innovation DevOps 264

Dynatrace

NOVEMBER 14, 2023

These small wins, such as implementing a blameless root cause analysis process, can take many forms and don’t necessarily involve numerical metrics. This is made possible through generative AI’s natural language processing capabilities. For organizations building business-centric SLOs, Aguiar had some recommendations. “If

Best Practices 191

Best Practices Engineering DevOps Software Engineering 191

Dynatrace

OCTOBER 7, 2021

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

Serverless 280

Serverless AWS Lambda Storage 280

The Netflix TechBlog

MARCH 4, 2024

We have deployed Auto Remediation in production for handling memory configuration errors and unclassified errors of Spark jobs and observed its efficiency and effectiveness (e.g., For efficient error handling, Netflix developed an error classification service, called Pensive, which leverages a rule-based classifier for error classification.

Tuning 210

Tuning Efficiency Big Data Engineering 210