Dynatrace

JANUARY 23, 2024

At this year’s Perform, we are thrilled to have our three strategic cloud partners, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), returning as both sponsors and presenters to share their expertise about cloud modernization and observability of generative AI models. What will the new architecture be?

Cloud 208

Cloud Artificial Intelligence Performance AWS 208

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. In the end, however, all these technologies must work together.

Analytics 154

Analytics Technology Technology Cloud 154

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. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges.

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

MARCH 18, 2024

FinOps aligns technology initiatives with business objectives while maintaining financial transparency and accountability to reduce unnecessary cloud spend and lower costs. Suboptimal architecture design. This proactive alerting involves combining many technologies that already exist in the Dynatrace platform.

Best Practices 228

Best Practices Strategy Cloud AWS 228

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. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

SEPTEMBER 5, 2023

Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. As a result, many IT teams have turned to cloud observability platforms to reduce blind spots in their cloud architecture, to resolve problems rapidly, and to deliver better customer experience.

Cloud 219

Cloud Artificial Intelligence Innovation Azure 219

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 Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. The architecture usually integrates several private, public, and on-premises infrastructures. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

NOVEMBER 2, 2023

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. A McKinsey & Company FinOps study indicated that “enterprises often don’t develop at-scale FinOps capabilities until their spending on cloud architecture reaches $100 million per year.”

Cloud 192

Cloud Strategy Retail Energy 192

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. To drive better outcomes using hybrid cloud architectures, it helps to understand their benefits—and how to orchestrate them seamlessly. What is hybrid cloud architecture?

Infrastructure 179

Infrastructure Cloud Azure AWS 179

Scalegrid

JANUARY 8, 2024

Discover how AI is reshaping the cloud and what this means for the future of technology. AI algorithms embedded in cloud architecture automate repetitive processes, streamlining workloads and reducing the chance of human error. These services are tailored to meet various business requirements.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

NOVEMBER 11, 2021

Increasingly, organizations see IT modernization as their on-ramp to product innovation and cost reduction. According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure. Dynatrace news. Why modern observability is different.

AWS 209

AWS Cloud Lambda Azure 209

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

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. Modern observability allows organizations to eliminate data silos, boost cloud operations, innovate faster, and improve business results. “As But it is also about process automation.

Artificial Intelligence 190

Artificial Intelligence Analytics Cloud Innovation 190

Dynatrace

MARCH 22, 2022

While many companies now enlist public cloud services such as Amazon Web Services, Google Public Cloud, or Microsoft Azure to achieve their business goals, a majority also use hybrid cloud infrastructure to accommodate traditional applications that can’t be easily migrated to public clouds. build microservices-based architecture.

Infrastructure 225

Infrastructure Cloud Java Azure 225

Dynatrace

AUGUST 2, 2021

The digital future that’s on the horizon is reliant on the power of the cloud and will require the best technology to match. Hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. But what does that look like? What is hyperscale? The post What’s the hype with hyperscale?

Azure 262

Azure Cloud Google AWS 262

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. These standards can be custom for specific teams, technologies, or criticalities. Standards for consistency. Real-time detection for fast remediation.

Engineering 179

Engineering Development Infrastructure Cloud 179

Dynatrace

MARCH 24, 2023

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 182

Infrastructure Open Source Operating System Cloud 182

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. 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 Infrastructure 363

Dynatrace

JULY 8, 2019

I’ve been speaking to customers over the last few months about our new cloud architecture for Synthetic testing locations and their confusion is clear. Cloud can be confusing, even to technology folks and there’s a lot of misinformation out there. Fueling innovation. It’s about fueling innovation. I get the confusion.

Cloud 201

Cloud Hardware Testing Logistics 201

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Adrian Cockcroft

NOVEMBER 26, 2023

The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. Google Cloud and Microsoft Azure released Scope 3 data in 2021.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

SEPTEMBER 4, 2020

Thanks to its event-driven architecture, Keptn can pull SLIs (=metrics) from different data sources and validate them against the SLOs. You can also start creating dashboard templates to faster onboard applications of a certain type or technology stack. Together we can drive even more innovation.

DevOps 245

DevOps Metrics Innovation Azure 245

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. ski explains.

Cloud 166

Cloud Lambda Serverless AWS 166

Dynatrace

APRIL 7, 2021

But your infrastructure teams don’t see any issue on their AWS or Azure monitoring tools, your platform team doesn’t see anything too concerning in Kubernetes logging, and your apps team says there are green lights across the board. Imagine you’re in a war room. So, what happens next? What if there was a delay of 15 seconds?”

Cloud 156

Cloud Monitoring Latency Games 156

Dynatrace

JUNE 1, 2021

All these terms refer to related technology and practices. APM has rapidly expanded to encompass a broad range of technologies and use cases. Application architecture to gain insights into how application architecture changes impact performance and user experience. Increased time spent on innovation.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Enprowess

JANUARY 12, 2022

Voice Search Technology. Serverless Architecture. Blockchain Technology. A Progressive web applications (PWA) are the latest trends in website development, built using standard web technologies like HTML and JavaScript. The technology has gained popularity for its possibility to propose a high-quality user experience.

Blockchain 59

Blockchain IoT Development Serverless 59

SQL Server According to Bob

FEBRUARY 15, 2018

Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. SELECT * FROM Azure Cosmos DB – Andrew Liu. Saturday Sessions.

Engineering 40

Engineering Azure Best Practices Servers 40

ScaleOut Software

JUNE 22, 2020

For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. In the next few years, we should continued innovation from in-memory computing to help ecommerce and other applications maintain their competitive edge.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. In the next few years, we should continued innovation from in-memory computing to help ecommerce and other applications maintain their competitive edge.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Tasktop

APRIL 29, 2020

In our work with large enterprises, we at Tasktop routinely see instances where some business units use Jira for all their development work while another entity uses a tool like Azure DevOps. Atlassian, Azure DevOps, and to an extent ServiceNow, provide a strong suite of tools that span the software delivery process from end-to-end.

DevOps 69

DevOps Azure Network Efficiency 69

Tasktop

MARCH 16, 2021

As VSM becomes the de facto way to master software delivery at scale to accelerate digital innovation, it’s vital that you’re able to generate a specific set of value stream metrics to measure your software delivery against clear business results in real-time. On average, you will need at least nine full-time(!)

Metrics 52

Metrics Healthcare Automotive Innovation 52

Tasktop

MARCH 16, 2021

As VSM becomes the de facto way to master software delivery at scale to accelerate digital innovation, it’s vital that you’re able to generate a specific set of value stream metrics to measure your software delivery against clear business results in real-time. On average, you will need at least nine full-time(!)

Metrics 40

Metrics Healthcare Automotive Innovation 40

O'Reilly

FEBRUARY 18, 2020

This combination of usage and search affords a contextual view that encompasses not only the tools, techniques, and technologies that members are actively using, but also the areas they’re gathering information about. Software architecture, infrastructure, and operations are each changing rapidly.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

ScaleOut Software

JUNE 15, 2020

An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52