Dynatrace

MAY 24, 2023

Dynatrace is proud to provide deep monitoring support for Azure Linux as a container host operating system (OS) platform for Azure Kubernetes Services (AKS) to enable customers to operate efficiently and innovate faster. What is Azure Linux? Why monitor Azure Linux container host for AKS? Performance.

Azure 246

Azure Monitoring Operating System Virtualization 246

Dynatrace

APRIL 9, 2025

The data lakehouse unifies the massive volume and variety of observability, security, and business data from cloud-native, hybrid, and multicloud environments while retaining data context to deliver instant, cost-efficient, and precise analytics. They allow users to visualize and explore the state of their Google Cloud infrastructure easily.

Google 195

Google Cloud Analytics Infrastructure 195

Dynatrace

JUNE 26, 2023

After meeting the necessary requirements, we are excited to announce that the Dynatrace AI-powered platform as a SaaS on Microsoft Azure is now available in Switzerland. Now, Dynatrace is available in Microsoft’s Switzerland North Azure region. However, for some, moving to a SaaS solution implies giving up control of certain aspects.

Azure 246

Azure Infrastructure Availability Innovation 246

DZone

AUGUST 23, 2023

In today's rapidly evolving digital landscape, businesses increasingly rely on cloud computing and infrastructure to support their operations. As organizations migrate their workloads to the cloud, robust monitoring and management tools are paramount to ensure optimal performance, security, and efficiency.

Azure 223

Azure Monitoring Virtualization Infrastructure 223

Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. What is the Azure Well-Architected Framework?

Azure 246

Azure Monitoring Virtualization Metrics 246

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently. Creating a prototype (for example, on Azure ).

Serverless 246

Serverless Efficiency Lambda Azure 246

Dynatrace

APRIL 5, 2021

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure 204

Azure Serverless IoT Lambda 204

Dynatrace

MARCH 5, 2025

This is partly due to the complexity of instrumenting and analyzing emissions across diverse cloud and on-premises infrastructures. Integration with existing systems and processes : Integration with existing IT infrastructure, observability solutions, and workflows often requires significant investment and customization.

Energy 223

Energy Analytics Traffic Cloud 223

Dynatrace

JULY 12, 2019

The newly launched Microsoft Azure Lighthouse offers capabilities for cross-customer management at scale for service providers to differentiate and benefit from greater efficiency and automation. Dynatrace can also be deployed and operated with ease in large environments, ensuring the efficiency of teams.

Azure 207

Azure Cloud Efficiency Monitoring 207

Dynatrace

AUGUST 28, 2020

This is the second part of our blog series announcing the massive expansion of our Azure services support. Part 1 of this blog series looks at some of the key benefits of Azure DB for PostgreSQL, Azure SQL Managed Instance, and Azure HDInsight. Fully automated observability into your Azure multi-cloud environment.

Azure 235

Azure Cloud Tuning Monitoring 235

Dynatrace

APRIL 1, 2021

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Keeping track of performance, response time, and efficiency can be cumbersome, especially when teams use a multicloud strategy that spans cloud environments and on-premises systems.

Azure 252

Azure AWS DevOps Cloud 252

DZone

OCTOBER 7, 2024

As deep learning models evolve, their growing complexity demands high-performance GPUs to ensure efficient inference serving. Many organizations rely on cloud services like AWS, Azure, or GCP for these GPU-powered workloads, but a growing number of businesses are opting to build their own in-house model serving infrastructure.

Infrastructure 173

Infrastructure Azure Hardware AWS 173

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization. million in 2020. Managed orchestration. Serverless container services.

Serverless 297

Serverless Azure Hardware Transportation 297

Dynatrace

APRIL 25, 2023

These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

Serverless 246

Serverless Lambda Azure AWS 246

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. billion in 2020 to $4.1 Accelerated innovation.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

OCTOBER 3, 2024

Dynatrace is essential for unlocking that gold mine of data, allowing you to enhance application performance, deliver better experiences, and optimize operational efficiency. Ingest data remotely through cloud integrations covering Amazon CloudWatch, Azure Monitor, Azure Liftr, and Google Cloud™ Kubernetes with GKE™ AutoPilot cluster.

Cloud 299

Cloud Lambda AWS Analytics 299

Dynatrace

FEBRUARY 1, 2024

The complexity and numerous moving parts of Kubernetes multicloud clusters mean that when monitoring the health of these clusters—which is critical for ensuring reliable and efficient operation of the application—platform engineers often find themselves without an easy and efficient solution.

Engineering 299

Engineering Efficiency Azure Monitoring 299

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. AI-powered answers and additional context for apps and infrastructure, at scale.

Cloud 264

Cloud Azure Analytics Open Source 264

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 305

AWS Efficiency Azure Cloud 305

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The goal is to abstract away the underlying infrastructure’s complexities while providing a streamlined and standardized environment for development teams.

Engineering 264

Engineering Development DevOps Infrastructure 264

Dynatrace

FEBRUARY 13, 2020

Next-gen Infrastructure Monitoring. Next up, Steve introduced enhancements to our infrastructure monitoring module. Davis now automatically provides thresholds and baselining algorithms for all infrastructure performance and reliability metrics to easily scale infrastructure monitoring without manual configuration.

Performance 278

Performance Mobile Analytics Innovation 278

Dynatrace

JANUARY 31, 2024

Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration. Estimates show that NVIDIA, a semiconductor manufacturer, could release 1.5 million AI server units annually by 2027, consuming 75.4+

Cache 276

Cache Azure Infrastructure Monitoring 276

Scalegrid

JUNE 11, 2019

Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud. Cloud Infrastructure Breakdown by Database. So, which cloud infrastructure is right for you? 2019 Top Databases Used.

Open Source 55

Open Source Database Cloud Infrastructure 55

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

OCTOBER 30, 2023

The resulting vast increase in data volume highlights the need for more efficient data handling solutions. Application performance monitoring (APM) , infrastructure monitoring, log management, and artificial intelligence for IT operations (AIOps) can all converge into a single, integrated approach.

Best Practices 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

DZone

SEPTEMBER 21, 2023

However, as enterprises grow and their infrastructure becomes more complex, a single Kubernetes cluster on a single cloud provider may no longer suffice, potentially leading to limitations in redundancy, disaster recovery, vendor lock-in, performance optimization, geographical diversity, cost-efficient scaling, and security and compliance measures.

Azure 202

Azure Games AWS Cloud 202

Dynatrace

NOVEMBER 11, 2021

As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure.

AWS 246

AWS Cloud Lambda Azure 246

Dynatrace

DECEMBER 8, 2022

DevOps platform engineers are responsible for cloud platform availability and performance, as well as the efficiency of virtual bandwidth, routers, switches, virtual private networks, firewalls, and network management. Infrastructure as code (IaC) configuration management tool. Microsoft Azure. Amazon Web Services (AWS).

DevOps 246

DevOps Engineering Testing Open Source 246

Dynatrace

FEBRUARY 12, 2024

Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. He goes on to review the following newly launched capabilities from Dynatrace: Infrastructure & Operations app.

Engineering 246

Engineering Development Infrastructure Cloud 246

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. A data lakehouse, therefore, enables organizations to get the best of both worlds.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

JULY 12, 2022

AIOps and observability for infrastructure management. This kind of IT automation “ingests data from every layer in the stack — from the infrastructure layer to the application layer and even user experience data,” says Bipin Singh, director of product marketing at Dynatrace. And then we never see these issues manifest again.

Innovation 246

Innovation Infrastructure DevOps Azure 246

Dynatrace

NOVEMBER 6, 2023

As a SaaS vendor, Dynatrace carefully manages its deployments across different regions, assuring the efficient and optimal use of infrastructure to serve and support Dynatrace platform customers. Dynatrace is already supported in 17 local regions on three hyperscalers (AWS, Azure, and GCP).

AWS 264

AWS Azure Tuning Analytics 264

Dynatrace

JUNE 7, 2023

Container orchestration allows an organization to digitally transform at a rapid clip without getting bogged down by slow, siloed development, difficult scaling, and high costs associated with optimizing application infrastructure. Like Kubernetes, it allocates resources efficiently and ensures high availability and fault tolerance.

Open Source 246

Open Source Social Media Infrastructure Operating System 246

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. The “scheduler” determines the placement of new containers so compute resources are used most efficiently. Networking.

Open Source 334

Open Source Traffic DevOps Cloud 334

Dynatrace

MARCH 24, 2023

Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. Likewise, Kubernetes is both an enterprise platform and managed services with Red Hat OpenShift.

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

Dynatrace

MARCH 18, 2024

In a Dynatrace Perform 2024 session, Kristof Renders, director of innovation services, discussed how a stronger FinOps strategy coupled with observability can make a significant difference in helping teams to keep spiraling infrastructure costs under control and manage cloud spending. ” But Dynatrace goes further.

Best Practices 278

Best Practices Strategy Cloud AWS 278

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. Because we all [have] constrained IT resources, we can’t just continue to ship new applications and new infrastructure with the same number of resources and expect a good outcome. ….

Artificial Intelligence 246

Artificial Intelligence Analytics Cloud Innovation 246