Dynatrace

JANUARY 31, 2024

The exponential growth of data volume—including observability, security, software lifecycle, and business data—forces organizations to deal with cost increases while providing flexible, robust, and scalable ingest. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 194

Analytics Processing Transportation Storage 194

Dynatrace

NOVEMBER 6, 2023

This massive migration is critical to organizations’ digital transformation , placing cloud technology front and center and elevating the need for greater visibility, efficiency, and scalability delivered by a unified observability and security platform. Optimization. Thoughtful reinvestment.

Azure 172

Azure Technology Technology Cloud 172

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Current analytics tools are fragmented and lack context for meaningful analysis. Effective analytics with the Dynatrace Query Language.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

Dynatrace

JULY 29, 2021

The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. How can we optimize for performance and scalability? Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

JANUARY 12, 2022

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. Easily troubleshoot anomalies with technology-specific views.

Analytics 186

Analytics Systems DevOps Healthcare 186

Dynatrace

MARCH 29, 2024

The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud. As organizations continue to expand within cloud-native environments using Google Cloud, ensuring scalability becomes a top priority. This year, Google’s event will take place from April 9 to 11 in Las Vegas.

Google 261

Google Innovation Cloud Analytics 261

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 156

Analytics Technology Technology Cloud 156

Dynatrace

MAY 17, 2022

To solve this problem , Dynatrace offers a fully automated approach to infrastructure and application observability including Kubernetes control plane, deployments, pods, nodes, and a wide array of cloud-native technologies. Embracing cloud native best practices to increase automation. The technicalities are simple to understand.

Availability 316

Availability Scalability Cloud Metrics 316

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. Discover how AI is reshaping the cloud and what this means for the future of technology.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

DZone

JUNE 7, 2023

They contribute to efficiency, scalability , and improved decision-making, making them indispensable in modern software development. They also provide customization options, allowing developers to tailor software solutions to specific business requirements.

Systems 182

Systems Software Software Development 182

High Scalability

NOVEMBER 23, 2018

has been a key to success in many technological endeavors and to lead in many scientific domains. 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.

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. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 183

DevOps Analytics Storage Metrics 183

Scalegrid

FEBRUARY 8, 2024

This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology. Distributed storage technologies use innovative tools such as Hive, Apache Hadoop, and MongoDB, among others, to proficiently deal with processing extensive volumes encountered in multiple-node-based systems.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

AUGUST 21, 2023

A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. They need to automate manual tasks, streamline processes, and invest in new technologies. Cloud-based log management technologies reduce total cost of ownership.

Analytics 145

Analytics Innovation Infrastructure Scalability 145

Dynatrace

FEBRUARY 10, 2023

According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics.

Efficiency 276

Efficiency Performance Analytics DevOps 276

Dynatrace

MARCH 29, 2023

Google Cloud Ready – AlloyDB is a new designation for the solutions of Google Cloud’s technology partners that integrate with AlloyDB. Recognizing Dynatrace as Google Cloud Ready – AlloyDB validates their support for and integrations with AlloyDB” said Ritika Suri, Director, Technology Partnerships at Google Cloud.

Google 220

Google Metrics Cloud Analytics 220

Dynatrace

NOVEMBER 20, 2023

While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. It’s being recognized around the world as a transformative technology for delivering productivity gains. What is artificial intelligence?

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

Dynatrace

OCTOBER 17, 2023

With the exponential rise of cloud technologies and their indisputable benefits such as lower total cost of ownership, accelerated release cycles, and massed scalability, it’s no wonder organizations clamor to migrate workloads to the cloud and realize these gains.

Energy 192

Energy Artificial Intelligence AWS Lambda 192

Dynatrace

FEBRUARY 1, 2024

Multicloud strategy: Balancing potential with complexity in modern IT ecosystems In the ever-changing digital world, cloud technologies are crucial in driving business innovation and adaptability. They offer unmatched flexibility and scalability to meet the fluctuating demands of the market.

Cloud 204

Cloud Strategy Metrics Government 204

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. However, these practices cannot stand alone.

DevOps 190

DevOps Engineering Artificial Intelligence Infrastructure 190

Dynatrace

FEBRUARY 16, 2023

As organizations strive to digitally transform, innovate, and grow in today’s fast-paced environment, they have increasingly turned to cloud technologies to enable business goals. And although technology has become more central to their business strategies, they are juggling many priorities in digital transformation.

Analytics 171

Analytics Innovation Cloud Scalability 171

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 222

Serverless Analytics AWS Azure 222

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. Grail needs to support security data as well as business analytics data and use cases. From the beginning, Grail was built to be fast and scalable to manage massive volumes of data.

Artificial Intelligence 267

Artificial Intelligence Analytics Storage Architecture 267

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

FEBRUARY 15, 2023

It provides automatic scalability, runtime application security, secure connections and integrations across hybrid and multicloud ecosystems, and full lifecycle support, including security and quality certifications. AppEngine uses this data and simplifies intelligent app creation and integrations for teams throughout an organization.

Analytics 130

Analytics Storage Cloud Code 130

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

NOVEMBER 7, 2023

The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world. The ability to effectively manage multi-cluster infrastructure is critical to consistent and scalable service delivery. Automation, automation, automation.

Engineering 273

Engineering DevOps Best Practices Infrastructure 273

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

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. Further, not every business uses AI in the same way or for the same reasons.

Artificial Intelligence 207

Artificial Intelligence Healthcare Retail Government 207

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

NOVEMBER 28, 2022

Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies. The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability.

Lambda 225

Lambda AWS Serverless Latency 225

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

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. … The benefits of the cloud are undeniable.

Artificial Intelligence 193

Artificial Intelligence Analytics Cloud Innovation 193

Dynatrace

FEBRUARY 15, 2023

Many organizations attempt to combine tools, products, and do-it-yourself solutions with custom code to fulfill custom use cases that are specific to their unique business requirements and technology stacks. Not only are these approaches difficult and costly to maintain, they also lack proper security and scalability.

Government 164

Government Serverless Analytics Metrics 164

Dynatrace

DECEMBER 16, 2022

Today, organizations face unprecedented challenges, including COVID-19 recovery, economic uncertainty, and technological disruption. As organizations continue to operate in the cloud, open technologies become critical. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia.

Innovation 196

Innovation Software Software Cloud 196

Scalegrid

DECEMBER 21, 2023

They may even help develop personalized web analytics software as well as leverage Hashes, Bitmaps, or Streams from Redis Data Types into a wider scope of applications such as analytic operations. Or even having limitations when trying vertical/horizontal scalability while ensuring availability at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130