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. Easy to leverage API interfaces connect services with core functionality, allowing applications to communicate and share data. Microservices benefits.

Architecture 242

Architecture Software Software Development 242

Dynatrace

OCTOBER 4, 2022

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Grail architectural basics.

Artificial Intelligence 261

Artificial Intelligence Analytics Storage Architecture 261

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion.

Cloud 171

Cloud Artificial Intelligence Innovation Architecture 171

Dynatrace

APRIL 19, 2023

Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.

Design 184

Design Storage Programming Analytics 184

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights?

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion.

Cloud 147

Cloud Artificial Intelligence Innovation Architecture 147

DZone

FEBRUARY 10, 2023

In today's data-driven era, it's critical to design data platforms to help business to foster innovation and compete in the market. Selecting a robust, future-proof set of tools and architecture requires an act of balance between purely technological concerns and the wider constraints of the project.

Architecture 130

Architecture Innovation Scalability Technology 130

DZone

MARCH 8, 2024

In today's fast-paced digital landscape, organizations are increasingly embracing multi-cloud environments and cloud-native architectures to drive innovation and deliver seamless customer experiences. They enable developers, engineers, and architects to drive innovation, but they also introduce new challenges."

Analytics 331

Analytics Innovation DevOps Architecture 331

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 collects operational data to identify patterns and anomalies for faster incident management and near-real-time insights.

Analytics 181

Analytics Artificial Intelligence Big Data Open Source 181

Dynatrace

NOVEMBER 4, 2022

A new Dynatrace report highlights the challenges for government and public-sector organizations as they increasingly rely on cloud-native architectures—and a corresponding data explosion. This shift makes it harder to monitor, observe, and analyze data across a distributed technology stack. .

Government 147

Government Analytics Cloud Storage 147

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 173

Azure Analytics Artificial Intelligence Innovation 173

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 164

Architecture Availability Infrastructure Metrics 164

Dynatrace

JUNE 20, 2023

Modern IT organizations are generating more data from more tools and technologies than ever. Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. However, they had numerous custom applications with separate APIs.

Open Source 186

Open Source Google Serverless Azure 186

Dynatrace

FEBRUARY 16, 2023

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 179

Analytics Innovation Metrics Database 179

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. But for software to work perfectly, organizations need to use data to optimize every phase of the software lifecycle. The only way to address these challenges is through observability data — logs, metrics, and traces. Teams interact with myriad data types.

Analytics 184

Analytics Software Software Storage 184

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. This article cuts through the complexity to showcase the tangible benefits of DBMS, equipping you with the knowledge to make informed decisions about your data management strategies. What are the key advantages of DBMS?

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

MARCH 6, 2024

They create an explosion of data that is extremely challenging to manually capture, analyze, and act on. 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. But these environments are, by nature, difficult to manage.

Analytics 184

Analytics Innovation Strategy Storage 184

Dynatrace

OCTOBER 2, 2023

Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Migration is time-consuming and involved.

Architecture 224

Architecture Artificial Intelligence Cloud Open Source 224

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 152

Analytics Technology Technology Cloud 152

Dynatrace

APRIL 13, 2023

The massive volumes of log data associated with a breach have made cybersecurity forensics a complicated, costly problem to solve. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 178

Analytics Java Infrastructure Cloud 178

Dynatrace

FEBRUARY 15, 2023

Teams can now use an observability platform to unify operations, business, and development data to gain automatic, precise answers about cloud environments and user experience. As a result, these leaders can ask different questions of the same data. Additionally, its modern architecture delivers cost-effective storage and compute.

Analytics 130

Analytics Storage Cloud Code 130

ACM Sigarch

OCTOBER 10, 2022

Or, terms security and quantum computers are often associated with Quantum Key Distribution (QKD) or Quantum True Random Number (QTRNG) technologies. Otherwise, there is a risk of repeating many of the mistakes from classical computers where, for many years, security at the hardware and architecture levels was an afterthought.

Architecture 72

Architecture Hardware Programming Cloud 72

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 222

Artificial Intelligence Cloud Best Practices DevOps 222

All Things Distributed

NOVEMBER 19, 2020

Coaching staffs, decision makers, and even the announcers are using data to make real-time decisions, each team constantly working to gain even a fraction of an advantage over its opponent. One of the things that I find most interesting about football is how the evolution of technology is having an impact on its progression.

Games 197

Games IoT Serverless Internet 197

The Netflix TechBlog

OCTOBER 15, 2019

Part I: Overview Andreas Andreakis , Falguni Jhaveri , Ioannis Papapanagiotou , Mark Cho , Poorna Reddy , Tongliang Liu Overview It is a commonly observed pattern for applications to utilize multiple datastores where each is used to serve a specific need such as storing the canonical form of data (MySQL etc.), caching (Memcached etc.),

Transportation 192

Transportation Architecture Processing Storage 192

The Netflix TechBlog

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. For example?—?clinical

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

Dynatrace

FEBRUARY 1, 2024

With this lack of visibility into their cloud environments, organizations are increasingly seeing cloud observability as a business-critical technology. Survey data indicates that IT professionals have turned to technology to help them address cloud interdependencies and complexity. Again, survey data supports this trend.

Cloud 223

Cloud Artificial Intelligence Strategy Government 223

Dynatrace

APRIL 15, 2024

While the benefits of multicloud environments are crucial to agency success, they introduce complexity and overwhelming data volumes that are impossible for humans to manage alone. Nearly all government technology leaders (97%) reported the complexity of their technology stack has increased in the past 12 months.

Infrastructure 201

Infrastructure Efficiency Government Transportation 201

DZone

NOVEMBER 30, 2023

It uses Python as its programming language and offers a flexible architecture suited for both small-scale and large-scale data processing. The platform supports the concept of Directed Acyclic Graphs to define workflows, making it easy to visualize complex data pipelines.

Processing 173

Processing Open Source Programming Architecture 173

Dynatrace

APRIL 8, 2024

Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions. Mission-critical risks in banking Dynatrace brings a flexible, easy-to-implement, and vertically integrated technology solution to risk management for banks.

Analytics 193

Analytics Infrastructure Efficiency Technology 193

VoltDB

MAY 30, 2024

And yet, more often than not, OEMs don’t consider their underlying tech stack technologies until they are way too deep into said crisis. Finding the right data platform BEFORE you get mired in an emergency iis key. But choosing the best possible data platform to embed in your solution isn’t easy. Consider the cloud.

Latency 52

Latency Cloud Database Tuning 52

Dynatrace

OCTOBER 17, 2023

In today’s data-driven landscape, businesses are grappling with an unprecedented surge in data volume. The rise of cloud-native microservice architectures further exacerbates this change. The data generated by applications to support operational teams has reached overwhelming proportions.

Retail 229

Retail Storage Best Practices Architecture 229

Dynatrace

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. It collects, processes, and outputs log files to and from a wide variety of technologies. Built-in resiliency ensures data completeness and consistency even if Fluentd or an endpoint service goes down temporarily. Dynatrace news.

Metrics 173

Metrics Analytics Software Architecture Open Source 173

Dynatrace

JANUARY 22, 2024

And while generative AI was much hyped in 2023, the deterministic quality of causal AI—which determines the precise root cause of an issue—is a key foundation for reliable recommendations that emerge from generative AI technologies. Algorithms can mine customer behavioral data to understand the underlying factors driving purchasing decisions.

Artificial Intelligence 200

Artificial Intelligence Healthcare Retail Government 200

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. This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Unpredictable costs.

Cache 199

Cache Azure Infrastructure Monitoring 199

Scalegrid

JUNE 7, 2024

It employs the Advanced Message Queuing Protocol (AMQP) to provide reliable, scalable message passing, crucial for modern applications dealing with large-scale, complex data flows. RabbitMQ allows web applications to create and place messages in a message queue for further processing. Its commitment to open standard protocols such as AMQP 1.0

IoT 130

IoT Software Architecture Architecture Scalability 130

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