DZone

JUNE 7, 2023

ERP systems offer standardized processes, enabling developers to accelerate development cycles and align with industry best practices. They contribute to efficiency, scalability , and improved decision-making, making them indispensable in modern software development.

Systems 169

Systems Software Software Development 169

High Scalability

NOVEMBER 23, 2018

Waqas Dhillon : The goal of in-database machine learning is to bring popular machine learning algorithms and advanced analytical functions directly to the data, where it most commonly resides – either in a data warehouse or a data lake. Can you eat more after Thanksgiving? Lots of leftovers.

Internet 174

Internet Internet Scalability Analytics 174

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. All these steps and stages slow down processes, are error-prone, and introduce additional security risks.

DevOps 192

DevOps Analytics Storage Metrics 192

Dynatrace

AUGUST 25, 2023

Kubernetes workload management is easier with a centralized observability platform When deploying applications with Kubernetes, the configuration is flexible and declarative, allowing for scalability. You can filter logs based on their content, source, or process technology.

Serverless 230

Serverless Analytics AWS Azure 230

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 285

Efficiency Performance Analytics DevOps 285

Dynatrace

MAY 2, 2024

Across the globe, privacy laws grant individuals data subject rights, such as the right to access and delete personal data processed about them. ” [1] –Gartner ® These drivers and the growing complexity of data privacy regulations make manual handling of these requests unsustainable, necessitating automated and scalable solutions.

Tuning 235

Tuning Scalability Efficiency Processing 235

The Netflix TechBlog

MARCH 5, 2019

This operational component places some cognitive load on our engineers, requiring them to develop deep understanding of telemetry and alerting systems, capacity provisioning process, security and reliability best practices, and a vast amount of informal knowledge about the cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. This significantly increases event latency.

Engineering 189

Engineering Tuning Latency Open Source 189

Dynatrace

SEPTEMBER 8, 2022

While logging is the act of recording logs, organizations extract actionable insights from these logs with log monitoring, log analytics, and log management. Comparing log monitoring, log analytics, and log management. These two processes feed into one another. Log management brings together log monitoring and log analysis.

Systems 193

Systems Cloud Analytics DevOps 193

DZone

SEPTEMBER 14, 2023

For the need of real-time monitoring, threat tracing, and alerting, they require a log analytic system that can automatically collect, store, analyze, and visualize logs and event records.

Analytics 124

Analytics Storage Architecture Scalability 124

Dynatrace

APRIL 18, 2024

This real-time awareness enables teams to rapidly detect and resolve issues: both indispensable capabilities for maintaining the agility and reliability that are central to DevOps and platform engineering processes. Moreover, observability is the launchpad for maturing DevOps and platform engineering postures.

DevOps 199

DevOps Engineering Artificial Intelligence Infrastructure 199

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

Dynatrace

FEBRUARY 16, 2023

The cloud boasts many benefits, such as increasing scalability, accelerating digital transformation, and reducing costs. Data on glass is not scalable, especially given the increased scale and volume of data. A holistic, unified approach to extracting analytics at scale is necessary to keep pace with digital transformation.

Analytics 179

Analytics Innovation Cloud Scalability 179

Dynatrace

FEBRUARY 16, 2023

With increased scalability, agility, and flexibility, cloud computing enables organizations to improve supply chains, deliver higher customer satisfaction, and more. You have to get automation and analytical capabilities.” Throw in behavioral analytics, metadata, and real-user data. … But it is also about process automation.

Artificial Intelligence 203

Artificial Intelligence Analytics Cloud Innovation 203

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

APRIL 7, 2023

Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications. Lambda functions allow teams to run code for applications, back-end services, streaming processing, or any layer of the stack with less overhead. What is a Lambda serverless function?

Lambda 224

Lambda AWS Serverless Latency 224

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

APRIL 25, 2023

Neglecting security during the development process or at runtime when new threats can emerge could lead to disastrous consequences. This gives public sector teams the best of both worlds: peak-performance applications without vulnerabilities, made possible by a highly scalable application security solution.

Government 222

Government Innovation Open Source Traffic 222

Dynatrace

NOVEMBER 28, 2022

The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability. Simplify error analytics. Built for enterprise scalability. How does Dynatrace help? No manual configuration is necessary.

Lambda 232

Lambda AWS Serverless Latency 232

Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 201

Analytics Processing Transportation Storage 201

High Scalability

JANUARY 11, 2022

There are two major processes which gets executed when a user posts a photo on Instagram. Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity.

Design 334

Design Media Storage Logistics 334

Dynatrace

OCTOBER 23, 2023

As such, the observability platform used to monitor Hyper-V should ideally fulfill requirements for holistic visibility, correlation and causation analysis, AI-powered analytics, scalability, and security. Users of Dynatrace can gain comprehensive insights into every aspect of the application delivery chain.

Efficiency 224

Efficiency Virtualization Hardware Performance 224

Dynatrace

FEBRUARY 15, 2023

But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise. To date, traditional observability tools ingest and process only partial data in silos which makes them ineffective to truly address application performance or security issues.

Code 221

Code DevOps Cloud Analytics 221

The Netflix TechBlog

MARCH 10, 2023

Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case. Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams.

Media 237

Media Traffic Processing Design 237

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

The Netflix TechBlog

JUNE 7, 2021

Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the cloud network infrastructure to address the identified problems. Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

JANUARY 22, 2024

Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. Their scalability, comparatively low cost, and support for advanced analytics and machine learning have helped fuel AI’s rapid enterprise adoption. Government.

Artificial Intelligence 217

Artificial Intelligence Healthcare Retail Government 217

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Our new eBook, “ From Planning to Performance: MongoDB Upgrade Best Practices ,” guides you through the entire process to ensure your database’s long-term success. In MongoDB 6.x:

Best Practices 88

Best Practices Hardware Tuning Scalability 88

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. Telegraf is a plugin-based system for collecting, processing, aggregating, and writing metrics. Scalable and easy Prometheus support for Kubernetes. Automatically analyze hundreds of Telegraf-provided data and get precise answers. Stay tuned.

Open Source 260

Open Source Metrics Analytics Tuning 260

Dynatrace

MAY 28, 2024

Dynatrace automatically puts logs into context Dynatrace Log Management and Analytics directly addresses these challenges. Open a host, cluster, cloud service, or database view in one of these apps, and you immediately see logs alongside other relevant metrics, processes, SLOs, events, vulnerabilities, and data offered by the app.

Analytics 160

Analytics Infrastructure Database Monitoring 160

Dynatrace

JANUARY 23, 2024

The following resources provide more information on how to get the most out of your AI investment, the importance of data quality for business success, and automating manual IT processes to prioritize innovation. Teams face siloed processes and toolsets, vast volumes of data, and redundant manual tasks.

Performance 195

Performance DevOps Innovation Artificial Intelligence 195

Dynatrace

AUGUST 25, 2023

It’s practically impossible for teams to modernize when they can’t visualize all the dependencies within their infrastructure, processes, and services. Built on the AutomationEngine , Dynatrace automated multicloud workflows allow teams to visualize and automate processes.

Government 213

Government Infrastructure Programming Cloud 213

Dynatrace

DECEMBER 16, 2022

AI-powered precise answers and timely insights with ad-hoc analytics. But DIY is neither sufficient nor scalable to meet enterprise needs in the long run. Dynatrace offers a unified software intelligence platform that supports your mission to accelerate cloud transformation, eliminate inefficient silos, and streamline processes.

Innovation 206

Innovation Software Software Cloud 206

All Things Distributed

AUGUST 18, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud.

Big Data 111

Big Data Analytics AWS Cloud 111

Dynatrace

OCTOBER 17, 2023

As a result, IT organizations are overwhelmed as they strive to balance cost control processes with ensuring that their respective organizations have access to all the data required for their various use cases. Ingest and process. In contrast, answer-centric pricing simply charges customers when they query data. Transparency.

Retail 246

Retail Storage Best Practices Architecture 246

Dynatrace

SEPTEMBER 10, 2020

Yesterday’s nice-to-have is today’s must-have It was never ideal to rely exclusively on business intelligence or web analytics tools to discover poor business outcomes caused by friction in the purchase funnel. You’ll benefit through ad hoc analytics to drive real-time collaboration. business analytics journey,?contact?your

Retail 134

Retail Analytics Metrics Mobile 134

Dynatrace

DECEMBER 15, 2022

While engaging the automatic instrumentation of the Dynatrace OneAgent makes log ingestion automatic and scalable , our customers have set up multiple other log ingestion methods. Fluentd is known for its flexibility and is also highly scalable, which makes it a good choice for high-volume environments. Log ingestion strategy no.

Strategy 189

Strategy AWS Open Source Transportation 189