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.

Serverless 213

Serverless Lambda Azure AWS 213

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.

Azure 139

Azure Artificial Intelligence Metrics Innovation 139

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 150

Azure Cloud Big Data Virtualization 150

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 25, 2023

To properly monitor Kubernetes clusters and containers, it’s necessary to have access to relevant logs. 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.

Serverless 227

Serverless Analytics AWS Azure 227

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 261

Cloud Azure Analytics AWS 261

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 214

AWS Artificial Intelligence Analytics Cloud 214

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. Managing regressions and model drift is crucial when deploying and monitoring machine learning models in operation, especially as new data comes in.

Cache 209

Cache Azure Infrastructure Monitoring 209

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 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. … It is about the collection of all of those together.”

Artificial Intelligence 199

Artificial Intelligence Analytics Cloud Innovation 199

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 214

Artificial Intelligence Storage Analytics Government 214

Dynatrace

AUGUST 24, 2020

Observability and monitoring as a source of truth. To provide actionable answers monitoring systems store, baseline, and analyze telemetry data. Dynatrace is the only monitoring solution that provides observability (with no code changes) into every layer of your Kubernetes deployment, including your cloud infrastructure provider.

Analytics 246

Analytics Infrastructure AWS Operating System 246

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 252

AWS Efficiency Azure Cloud 252

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

MARCH 16, 2022

Over the last year, Dynatrace extended its AI-powered log monitoring capabilities by providing support for all log data sources. 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.

Metrics 220

Metrics Lambda Infrastructure Monitoring 220

Dynatrace

FEBRUARY 12, 2024

With Dynatrace, organizations can easily define everything pertaining to observability, security, ownership, synthetic monitoring, and automation workflows using simple configuration files, which also ensure a persistent configuration state. These standards can be custom for specific teams, technologies, or criticalities.

Engineering 187

Engineering Development Infrastructure Cloud 187

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. Next-gen Infrastructure Monitoring. Next up, Steve introduced enhancements to our infrastructure monitoring module.

Performance 242

Performance Analytics Mobile Innovation 242

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 orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. The post What is container orchestration?

Infrastructure 191

Infrastructure Open Source Operating System Cloud 191

Dynatrace

SEPTEMBER 17, 2019

Kubernetes (k8s) provides basic monitoring through the Kubernetes API and you can find instructions like Top 9 Open Source Tools for Monitoring Kubernetes as a “do it yourself guide”. Cluster and container Log Analytics. End-user monitoring. Their technology stack looks like this: Spring Boot-based Microservices.

AWS 128

AWS Monitoring Ecommerce Lambda 128

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. Built-in monitoring. Dynatrace news.

Open Source 307

Open Source Traffic DevOps Cloud 307

Dynatrace

DECEMBER 2, 2021

Infrastructure Monitoring. Settings > Maintenance windows > Monitoring, alerting and availability. New analytics view for message queues. To see all queues and topics detected by OneAgent within your monitoring environment. Infrastructure Monitoring. Log Monitoring. Synthetic monitoring.

Lambda 199

Lambda Azure Metrics Monitoring 199

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 197

Design Storage Programming Analytics 197

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.

Cloud 173

Cloud Lambda Serverless AWS 173

Dynatrace

OCTOBER 1, 2021

The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. What is the difference between monitoring and observability? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

AUGUST 24, 2020

Observability and monitoring as a source of truth . To provide actionable answers monitoring systems store, baseline, and analyze telemetry data. Monitoring your i nfrastructure . Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. .

Analytics 135

Analytics Infrastructure AWS Operating System 135

Dynatrace

MAY 17, 2023

For that, we focused on OpenTelemetry as the underlying technology and showed how you can use the available SDKs and libraries to instrument applications across different languages and platforms. OneAgent is the native telemetry data collector and monitoring solution of Dynatrace.

Metrics 176

Metrics Monitoring Database Network 176

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 233

AWS Lambda Artificial Intelligence Serverless 233

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

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.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

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. To this vital function is workload automation which optimizes scheduling, execution, and monitoring processes for each individual task or process within cloud-based workflows.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JANUARY 5, 2022

In recent years, customer projects have moved towards complex cloud architectures, including dozens of microservices and different technology stacks which are challenging to develop, maintain, and optimize for resiliency. It also lacks automation capabilities due to missing data and therefore doesn’t scale.

Testing 223

Testing Open Source Metrics Infrastructure 223

ScaleOut Software

JANUARY 9, 2020

Companies with large numbers of geographically distributed assets increasingly need intelligent real-time monitoring to keep operations running smoothly. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Companies with large numbers of geographically distributed assets increasingly need intelligent real-time monitoring to keep operations running smoothly. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Companies with large numbers of geographically distributed assets increasingly need intelligent real-time monitoring to keep operations running smoothly. Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require.

Logistics 52

Logistics Retail Analytics Azure 52