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. They are required to understand the full story of what happened in a system.

Cloud 260

Cloud Azure Analytics AWS 260

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. Suboptimal architecture design.

Best Practices 233

Best Practices Strategy Cloud AWS 233

Scalegrid

JANUARY 8, 2024

AI algorithms embedded in cloud architecture automate repetitive processes, streamlining workloads and reducing the chance of human error. AI models integrated into cloud systems offer flexibility, enable agile methodologies, and ensure secure systems. 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. at Venetian Delfino 4006.

AWS 213

AWS Cloud Lambda Azure 213

Scalegrid

MARCH 22, 2024

Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. Yet it reveals a migration trajectory favoring multi-cloud models as companies wake up to advantages such as heightened innovation potential tied with these varied service structures.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

MARCH 24, 2023

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. Docker containers can share an underlying operating system kernel, resulting in a lighter weight, speedier way to build, maintain, and port application services.

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

Dynatrace

APRIL 10, 2023

shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. These range from the simple lift-and-shift re-hosting approach to the significant architectural changes involved in refactoring. We also couldn’t compromise on performance and availability.”

Cloud 172

Cloud Ecommerce Performance Retail 172

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. What are some key characteristics of securing cloud applications? Read report now!

Cloud 177

Cloud Open Source Architecture Monitoring 177

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 229

AWS Lambda Artificial Intelligence Serverless 229

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

AUGUST 17, 2021

To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Understanding monolithic architectures. Dynatrace news.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Understanding monolithic architectures. Dynatrace news.

Architecture 244

Architecture Software Software Development 244

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. 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

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. 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

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. But, as resources move off premises, IT teams can lose visibility into system performance and security issues. What is predictive AI?

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

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(!) The Proof is in the Pudding.

Metrics 52

Metrics Healthcare Automotive Innovation 52

Dynatrace

APRIL 30, 2019

At Neotys PAC 2019 in Chamonix, France, I presented approaches on how to solve this problem by looking at examples from companies such as Intuit, Dynatrace, Google, Netflix, T-Systems and others. Neotys and T-Systems MMS are amongst the first companies to build extensions. Bamboo, Azure DevOps, AWS CodePipeline ….

Architecture 125

Architecture Open Source Azure Metrics 125

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 209

Analytics Monitoring Artificial Intelligence DevOps 209

O'Reilly

FEBRUARY 18, 2020

Software architecture, infrastructure, and operations are each changing rapidly. The shift to cloud native design is transforming both software architecture and infrastructure and operations. It’s possible that microservices architecture is hastening the move to other languages (such as Go, Rust, and Python) for web properties.

Software Architecture 136

Software Architecture DevOps Data Engineering Architecture 136

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(!) The Proof is in the Pudding.

Metrics 40

Metrics Healthcare Automotive Innovation 40

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 182

Infrastructure Cloud Azure AWS 182

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. And the last thing you want to do with synthetic is introduce false positives (the bane of all synthetic testing) into the system, and yet this was happening too often.

Cloud 202

Cloud Hardware Testing Logistics 202

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. Dynatrace news. But what is observability? Why is it important, and what can it actually help organizations achieve? What is observability?

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

AUGUST 2, 2021

Hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. Dynatrace is a partner with the hyperscalers you use most, with deep innovative integrations with AWS , Azure , Google , and many more. What is hyperscale? Some examples include Amazon, Microsoft, and Google.

Azure 262

Azure Cloud Google AWS 262

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.”

Cloud 227

Cloud Serverless Hardware Operating System 227

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.

Logistics 52

Logistics Analytics Scalability Cloud 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

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

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? Kiosks, mobile apps, websites, and QR codes.

Cloud 157

Cloud Monitoring Latency Games 157

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. The following best practices aren’t just about enhancing the overall performance of a log management system.

Best Practices 244

Best Practices Analytics Artificial Intelligence Infrastructure 244

High Scalability

JUNE 15, 2018

1.6x : better deep learning cluster scheduling on k8s; 100,000 : Large-scale Diverse Driving Video Database; 3rd : reddit popularity in the US; 50% : increase in Neural Information Processing System papers, AI bubble? JoeEmison : Another thing that serverless architectures change: how do you software development. Hungry for more?

Internet 113

Internet Internet Scalability Blockchain 113

Scalegrid

APRIL 5, 2024

It offers automatic data sharding, master-replica configurations for high availability, and a scalable and flexible architecture to maintain consistent performance. The purpose is scaling out distributed systems effectively and offering improved management and performance while processing numerous keys. beyond a certain point.

Scalability 130

Scalability Efficiency Java Database 130

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. There is hardly any innovation from traditional CMS vendors. In addition, open source CMS solutions also struggle with blotted plugin ecosystem.

Systems 63

Systems Cache Website Network 63

Dynatrace

JULY 9, 2020

Besides our early adopter success stories, from avodag AG or amasol , we have seen lots of great innovation from Christian Heckelmann at eResearchTechnology (ERT), who integrated Keptn Quality Gates into their GitLab Pipeline which automates up to 90% of otherwise manual build approval tasks. This enables true Performance as a Self-Service!

Cloud 188

Cloud DevOps Azure Architecture 188

Dynatrace

MAY 31, 2021

Although Kubernetes simplifies application development while increasing resource utilization, it is a complex system that presents its own challenges. Containers and microservices: A revolution in the architecture of distributed systems. How do you make this system resilient and fault-tolerant?

Virtualization 133

Virtualization DevOps Infrastructure Cloud 133