Dynatrace

MAY 8, 2023

This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. And how do DevOps monitoring tools help teams achieve DevOps efficiency? Lost efficiency. 54% reported deploying updates every two hours or less.

DevOps 246

DevOps Efficiency Monitoring Infrastructure 246

The Netflix TechBlog

FEBRUARY 14, 2025

Architecture Overview The first pivotal step in managing impressions begins with the creation of a Source-of-Truth (SOT) dataset. Impression Source-of-Truth architecture Ensuring High Quality Impressions Maintaining the highest quality of impressions is a top priority.

Tuning 166

Tuning Latency Efficiency Storage 166

Dynatrace

APRIL 15, 2024

Government agencies aim to meet their citizens’ needs as efficiently and effectively as possible to ensure maximum impact from every tax dollar invested. To address this, state and local governments are adopting multicloud environments to achieve the necessary speed, scale, and agility to keep up with faster digital transformation.

Infrastructure 246

Infrastructure Efficiency Government Transportation 246

Dynatrace

APRIL 21, 2023

Critical application outages negatively affect citizen experience and are costly on many fronts, including citizen trust, employee satisfaction, and operational efficiency. The post State and local agencies speed incident response, reduce costs, and focus on innovation appeared first on Dynatrace news.

Innovation 246

Innovation Speed Artificial Intelligence Government 246

Dynatrace

FEBRUARY 23, 2022

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed.

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Serverless Infrastructure Innovation DevOps 312

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 325

Serverless AWS Lambda Storage 325

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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. It’s based on cloud-native architecture and built for the cloud. But what does that mean?

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

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. This is simply not possible with conventional architectures.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

DZone

AUGUST 11, 2021

Unfortunately, it’s all too easy to break something when different teams are evolving different components (built on many different architectures) at different speeds, all in parallel. But users and stakeholders don’t care that delivering good software is hard.

Performance Testing 246

Performance Testing Testing Performance Speed 246

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

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate.

Cloud 245

Cloud Artificial Intelligence Innovation Architecture 245

Dynatrace

APRIL 22, 2025

But its distributed architecture also introduces significant security challenges. Cost efficiency Detecting and addressing vulnerabilities early not only saves time but also prevents costly breaches and downtime. Kubernetes is the go-to container orchestration platform for simultaneously delivering application scalability and agility.

Benchmarking 147

Benchmarking Best Practices DevOps Cloud 147

Dynatrace

JULY 11, 2024

Today, IT services have a direct impact on almost every key business performance indicator, from revenue and conversions to customer satisfaction and operational efficiency. With hybrid and multi-cloud architectures rendering organizations’ environments more complex and distributed, cloud observability has become increasingly important.

Monitoring 264

Monitoring Retail Energy Cloud 264

DZone

DECEMBER 28, 2020

The system could work efficiently with a specific number of concurrent users; however, it may get dysfunctional with extra loads during peak traffic. Performances testing helps establish the scalability, stability, and speed of the software application. Confirming scalability, dependability, stability, and speed of the app is crucial.

Performance Testing 230

Performance Testing Testing Tools Testing Performance 230

Dynatrace

OCTOBER 4, 2022

Further, these resources support countless Kubernetes clusters and Java-based architectures. This can vastly reduce an organization’s storage costs and improve data efficiency. Avoiding the speed-cost-quality tradeoffs by using a data lakehouse. A modern approach to log analytics stores data without indexing.

Analytics 264

Analytics Storage Infrastructure Metrics 264

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

JANUARY 14, 2022

The Akamas vision is that only an autonomous optimization approach powered by AI can effectively enable performance engineers, SREs, and architects to identify the best configurations that ensure maximum service performance and resilience, at the lowest possible cost and at business speed. below 500ms) and error rates (e.g. lower than 2%.).

Latency 246

Latency Tuning Efficiency AWS 246

Dynatrace

JUNE 10, 2022

Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency. In turn, IAC offers increased deployment speed and cross-team collaboration without increased complexity. Making the move to IAC offers multiple benefits, including the following: Speed.

Best Practices 264

Best Practices Infrastructure Code Speed 264

Dynatrace

DECEMBER 5, 2022

Monitoring and logging tools that once worked well with earlier IT architectures no longer provide sufficient context and integration to understand the state of complex systems or diagnose and correct security issues. Manually managing and securing multi-cloud environments is no longer practical. Automation versus orchestration.

DevOps 264

DevOps Virtualization Best Practices Innovation 264

The Netflix TechBlog

SEPTEMBER 24, 2021

Table 1: Movie and File Size Examples Initial Architecture A simplified view of our initial cloud video processing pipeline is illustrated in the following diagram. Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances.

Cloud 242

Cloud Media Storage Cache 242

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 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

Dynatrace

OCTOBER 8, 2024

Unlike generic DIY query frontends, the Dynatrace Problems app is a tailor-made solution for efficiently supporting operations use cases. This is why precisely showing the root cause ultimately helps to speed up problem resolution. Instead, you receive an AI-generated summary as an affected deployment architecture diagram.

Infrastructure 264

Infrastructure Cloud Speed Architecture 264

Dynatrace

JUNE 26, 2023

Software analytics offers the ability to gain and share insights from data emitted by software systems and related operational processes to develop higher-quality software faster while operating it efficiently and securely. The result is increased efficiency, reduced operating costs, and enhanced productivity.

Software 246

Software Software Analytics Big Data 246

Dynatrace

AUGUST 2, 2021

Hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. Here’s a list of some key hyperscale benefits: Speed : Hyperscale makes it easy to manage your shifting computing needs. But what does that look like? What is hyperscale?

Azure 264

Azure Cloud Google AWS 264

Dynatrace

JULY 29, 2024

AI is also crucial for securing data privacy, as it can more efficiently detect patterns, anomalies, and indicators of compromise. AI significantly accelerates DevSecOps by processing vast amounts of data to identify and classify potential threats, leading to proactive threat detection and response. Learn more in this blog.

Analytics 245

Analytics Government DevOps Efficiency 245

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 305

AWS Efficiency Azure Cloud 305

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. At a system level, SRE specialists develop tooling that coordinates releases and launches, evaluates system architecture readiness, and meets system-wide SLOs.

Engineering 264

Engineering DevOps Government Latency 264

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. Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. Automated issue resolution.

Analytics 246

Analytics Infrastructure Efficiency Technology 246

DZone

FEBRUARY 27, 2021

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. Considering all aspects and needs of current enterprise development, it is C++ and Java which outscore the other in terms of speed.

Java 214

Java C++ Benchmarking Programming 214

Dynatrace

AUGUST 9, 2019

Improving your team’s Commit Cycle Time means relying on efficient testing and soliciting feedback as quickly as possible. Therefore, keep a close eye on your dependencies—especially when you’re breaking monolithic applications into a microservices architecture. Three types of organizations by Commit Cycle Time. How to get started?

Speed 147

Speed Innovation DevOps Cloud 147

Dynatrace

SEPTEMBER 20, 2022

This approach enables teams to focus on speed and agility in software development without compromising security. DevSecOps best practices provide guidelines to help organizations achieve efficient and secure application design, development, implementation, and management. What is DevSecOps and what is a DevSecOps maturity model?

Best Practices 312

Best Practices DevOps Serverless Education 312

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. What is explainable AI?

Performance 246

Performance DevOps Innovation Artificial Intelligence 246

Dynatrace

MAY 4, 2022

Many more currently have plans to develop cloud-native applications based on microservices architectures. The greatest areas of value include deployment efficiency, addressing issues earlier in the development lifecycle, and cross-team collaboration. Cloud technologies enable teams to deploy and release software more frequently.

Cloud 246

Cloud DevOps Strategy Monitoring 246

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. That’s because every company is now a software company.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. Dynatrace news. What are logs?

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

OCTOBER 17, 2023

As today’s macroeconomic environments grow increasingly competitive, organizations are under pressure to reduce costs and speed products to market. As they try to become more efficient, organizations are turning to technologies such as AIOps and IT automation.

Innovation 245

Innovation Monitoring Network Strategy 245