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 136

Azure Serverless IoT Lambda 136

Dynatrace

JULY 7, 2022

Many organizations are taking a microservices approach to IT architecture. However, in some cases, an organization may be better suited to another architecture approach. Therefore, it’s critical to weigh the advantages of microservices against its potential issues, other architecture approaches, and your unique business needs.

Architecture 196

Architecture Serverless Azure Programming 196

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures. Microservices benefits.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures. Microservices benefits.

Architecture 243

Architecture Software Software Development 243

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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

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

DZone

SEPTEMBER 21, 2023

In today’s rapidly evolving technological landscape, organizations are increasingly embracing cloud-native architectures and leveraging the power of Kubernetes for application deployment and management. And then, we will set up the end-to-end service communication on multi-cloud Kubernetes clusters on AWS and Azure.

Azure 193

Azure Games AWS Cloud 193

InfoQ

JUNE 26, 2023

Microsoft has recently unveiled several new features for Azure Cosmos DB to enhance cost efficiency, boost performance, and increase elasticity. These features are burst capacity, hierarchical partition keys, serverless container storage of 1 TB, and priority-based execution. By Steef-Jan Wiggers

Azure 86

Azure Serverless Performance Storage 86

Scalegrid

FEBRUARY 8, 2024

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. This makes adopting such sophisticated multi-node-based arrangements exceedingly advantageous from both operational efficiency and financial viewpoints.

Storage 130

Storage Systems Big Data Azure 130

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. Dynatrace has made the reference IDP architecture available on GitHub for anyone to use. It includes a notebook with configuration and deployment instructions.

Engineering 237

Engineering Development DevOps Infrastructure 237

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

NOVEMBER 2, 2023

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. FinOps becomes more critical as organizations grow The value of FinOps lies in its potential to move organizations toward financial success with smart, cost-efficient cloud spend implemented from day one.

Cloud 192

Cloud Strategy Retail Energy 192

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 243

AWS Efficiency Azure Cloud 243

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

MARCH 8, 2022

These enhancements help development teams bring higher quality and more secure innovations to market faster and with greater efficiency. “We Dynatrace Delivers Most Complete Observability for Multicloud Serverless Architectures. Dynatrace Launches DevSecOps Automation Alliance Partner Program.

Code 179

Code Software Software Serverless 179

Dynatrace

MARCH 18, 2024

Suboptimal architecture design. Hyperscaler cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform can do this, too. Drive your FinOps strategy with Dynatrace In the simplest sense, FinOps is about optimizing and using cloud resources more efficiently. ” But Dynatrace goes further.

Best Practices 228

Best Practices Strategy Cloud AWS 228

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. This is simply not possible with conventional architectures.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Dynatrace

DECEMBER 8, 2022

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. Microsoft Azure. Organizations often adopt advanced architecture and move to progressive delivery in the cloud. What are DevOps engineer tools and platforms. Configuration management.

DevOps 187

DevOps Engineering Testing Open Source 187

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. All log streams from pods in Kubernetes environments. What’s next.

Cloud 258

Cloud Azure Analytics AWS 258

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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. So, they see clusters, pods, and workloads for up to hundreds of Kubernetes clusters across AWS, Azure, and GCP—right within the new Kubernetes app.”

Engineering 179

Engineering Development Infrastructure Cloud 179

Dynatrace

NOVEMBER 11, 2021

According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure. The session will cover how Dynatrace can help you deliver better software faster as you build applications based on AWS Lambda or microservices architecture.

AWS 209

AWS Cloud Lambda Azure 209

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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 resulting vast increase in data volume highlights the need for more efficient data handling solutions.

Best Practices 239

Best Practices Analytics Artificial Intelligence Infrastructure 239

Dynatrace

AUGUST 2, 2021

Hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. Increase operational efficiency : Hyperscale reduces the layers of control, making it easier to manage modern computer operations. 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

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

cdemi

FEBRUARY 20, 2017

Serverless is currently a hot topic in many modern architectural patterns. There will be many advances in the field over the coming years and it will be fascinating to see how they fit into our architectural toolkit. Cost - Serverless Computing is more cost-efficient than having a fixed quantity of servers. Advantages.

Serverless 64

Serverless Architecture Lambda Azure 64

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. 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.

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. Traditional cloud monitoring methods can no longer scale to meet organizations’ demands, as multicloud architectures continue to expand.

Artificial Intelligence 190

Artificial Intelligence Analytics Cloud Innovation 190

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Thus making it an ideal choice for businesses seeking a successful implementation of their multi-cloud strategy.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Scalegrid

MARCH 22, 2024

Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. Adopting spot instances for less critical tasks, which are less expensive than on-demand or reserved instances, is an efficient way of managing expenses.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

MAY 17, 2019

Especially in dynamic microservices architectures, distributed tracing is an essential component of efficient monitoring, application optimization, debugging, and troubleshooting. Microsoft has already introduced Trace Context support in some of their services, including.NET Azure Functions, API Management, and IoT Hub.

Azure 148

Azure Open Source Transportation IoT 148

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

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. You must bring your laptop to participate.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

OCTOBER 6, 2023

If your typical queries only target a specific use case, business unit, or production stage, ensuring they don’t include unrelated buckets helps maintain efficiency and relevance. Adopting this level of data segmentation helps to maximize Grail’s performance potential. Custom buckets unlock different retention periods.

Artificial Intelligence 258

Artificial Intelligence Analytics Metrics Storage 258

Dynatrace

JUNE 7, 2023

” In recent years, cloud service providers such as Amazon Web Services, Microsoft Azure, IBM, and Google began offering Kubernetes as part of their managed services. Like Kubernetes, it allocates resources efficiently and ensures high availability and fault tolerance.

Open Source 203

Open Source Social Media Infrastructure Operating System 203