Dynatrace

AUGUST 12, 2020

This lack of visibility creates blind spots and makes it difficult to ensure the health of applications running on serverless technologies. x runtime versions of Azure Functions running in an Azure App Service plan. Azure Functions in a nutshell. Azure Functions is the serverless computing offering from Microsoft Azure.

Serverless 234

Serverless Azure Monitoring Lambda 234

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 154

Analytics Technology Technology Cloud 154

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

AUGUST 12, 2020

This lack of visibility creates blind spots and makes it difficult to ensure the health of applications running on serverless technologies. x runtime versions of Azure Functions running in an Azure App Service plan. Azure Functions in a nutshell. Azure Functions is the serverless computing offering from Microsoft Azure.

Serverless 140

Serverless Azure Monitoring Lambda 140

Dynatrace

APRIL 25, 2023

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. And serverless support is a core capability.

Serverless 203

Serverless Lambda Azure AWS 203

Dynatrace

NOVEMBER 5, 2019

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Dynatrace news.

Azure 136

Azure Artificial Intelligence Metrics Innovation 136

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL.

Azure 146

Azure Cloud Big Data Virtualization 146

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

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Connecting data siloes requires daunting integration endeavors.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

AUGUST 25, 2023

It makes them available for a log analytics platform to gain automated, contextual, and actionable insights into the services and underlying platforms. You can filter logs based on their content, source, or process technology. Service ownership details In addition, Dynatrace offers powerful log analytics in the Dynatrace Log Viewer.

Serverless 219

Serverless Analytics AWS Azure 219

Dynatrace

OCTOBER 4, 2022

Generally, the storage technology categorizes data into landing, raw, and curated zones depending on its consumption readiness. The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. Support diverse analytics workloads.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

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 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

NOVEMBER 6, 2023

The move to SaaS and data residency in local markets Dynatrace operates its AI-powered unified platform for observability, security, and business analytics as a SaaS solution across the globe. Dynatrace is already supported in 17 local regions on three hyperscalers (AWS, Azure, and GCP).

AWS 235

AWS Azure Tuning Analytics 235

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

Scalegrid

JANUARY 8, 2024

Discover how AI is reshaping the cloud and what this means for the future of technology. Predictive analytics, powered by AI, enhance business processes and optimize resource allocation according to workload demands. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

FEBRUARY 16, 2023

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. You have to get automation and analytical capabilities.” Throw in behavioral analytics, metadata, and real-user data. … We start with data types—logs, metrics, traces, routes.

Artificial Intelligence 190

Artificial Intelligence Analytics Cloud Innovation 190

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. Throughout business history, the advent of pivotal technologies has consistently led to disruptive shifts. Enterprises that fail to adapt to these innovations face extinction.

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

AUGUST 24, 2020

Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. Dynatrace provides two technologies for Digital Experience Monitoring (DEM): Synthetic Monitoring and Real User Monitoring (RUM). Further reading about Business Analytics : . Conclusion.

Analytics 237

Analytics Infrastructure AWS Operating System 237

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 243

AWS Efficiency Azure Cloud 243

Dynatrace

MARCH 24, 2023

Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services. This clinic will walk you through Dynatrace’s log monitoring and analytics capabilities, with a specific focus on Kubernetes and cloud-native architectures.

Infrastructure 182

Infrastructure Open Source Operating System Cloud 182

Dynatrace

APRIL 19, 2023

Enterprise data stores grow with the promise of analytics and the use of data to enable behavioral security solutions, cognitive analytics, and monitoring and supervision. Modern observability technologies have helped enterprises identify software vulnerabilities such as Log4Shell in their environments.

Design 188

Design Storage Programming Analytics 188

Dynatrace

FEBRUARY 13, 2020

Dynatrace now automatically discovers, instruments and maps various container technologies within Kubernetes, making the largest and most diverse containerized environments easier to deploy and manage. Florian Ortner, Dynatrace Chief Product Officer, joined Steve on stage to demonstrate how our enhanced support for Kubernetes.

Performance 232

Performance Analytics Mobile Innovation 232

Dynatrace

FEBRUARY 12, 2024

These standards can be custom for specific teams, technologies, or criticalities. It provides a cross-cloud overview of cloud services, their instances, and health, enabling cloud resource usage analysis and optimization with analytics notebooks. Standards for consistency. Real-time detection for fast remediation.

Engineering 179

Engineering Development Infrastructure Cloud 179

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

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

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

SEPTEMBER 29, 2021

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. In a nutshell, they are complementary and, in part, overlapping technologies to create, manage, and operate containers. Dynatrace news. But first, some background.

Open Source 298

Open Source Traffic DevOps Cloud 298

Dynatrace

MARCH 16, 2022

We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. This also applies to logging use cases for certain technologies.

Metrics 210

Metrics Lambda Infrastructure Monitoring 210

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 52

Analytics Social Media Serverless Cloud 52

Dynatrace

DECEMBER 2, 2021

New analytics view for message queues. Select a specific queue or topic to display details about its connected producer and consumer services, as well as technology-specific metrics. Azure VMs that are monitoring candidates are now labeled “no OneAgent” on the Azure region and scale set pages. (APM-323431).

Lambda 190

Lambda Azure Metrics Monitoring 190

Scalegrid

MARCH 14, 2024

Integrating technology from private and public clouds and on-premises resources within one hybrid cloud platform creates an integrated IT infrastructure that leverages the strengths of each component. Integrating Existing Systems When selecting a tool for integrating a hybrid cloud, evaluating several key aspects is important.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 22, 2022

When American Family Insurance took the multicloud plunge, they turned to Dynatrace to automate Amazon Web Services (AWS) event ingestion, instrument compute and serverless cloud technologies, and create a single workflow for unified event management. Step 2: Instrument compute and serverless cloud technologies. It only costs about $.01

Cloud 166

Cloud Lambda Serverless AWS 166

Dynatrace

NOVEMBER 22, 2021

Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources. To address these issues, organizations that want to digitally transform are adopting cloud observability technology as a best practice. What is AIOps?

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

AUGUST 24, 2020

Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. . Dynatrace provides two technologies for Digital Experience Monitoring (DEM): Synthetic Monitoring and Real User Monitoring (RUM). Further reading about Business Analytics : .

Analytics 134

Analytics Infrastructure AWS Operating System 134

High Scalability

JANUARY 11, 2022

We can use cloud technologies such as Amazon Kinesis or Azure Stream Analytics for collecting, processing, and analyzing real-time, streaming data to get timely insights and react quickly to new information(e.g. Streaming Data Model. a new like, comment, etc.).

Design 334

Design Media Storage Logistics 334

Scalegrid

JANUARY 12, 2024

These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices. This makes it ideal not only for regular scalability but also for advanced analytics with intricate workload management capabilities.

Cloud 130

Cloud Virtualization Storage Efficiency 130

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52