Dynatrace

NOVEMBER 29, 2024

Protect data in multi-tenant architectures To bring you the most value by unifying observability and security in one analytics and automation platform powered by AI, Dynatrace SaaS leverages a multitenancy architecture, enabling efficient and scalable data ingestion, querying, and processing on shared infrastructure.

Storage 246

Storage AWS Azure Architecture 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. Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud.

Serverless 246

Serverless Efficiency Lambda AWS 246

Dynatrace

DECEMBER 2, 2024

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. However, the drive to innovate faster and transition to cloud-native application architectures generates more than just complexity — it’s creating significant new risk.

Artificial Intelligence 258

Artificial Intelligence DevOps Architecture Cloud 258

Dynatrace

MARCH 8, 2022

Dynatrace Delivers Most Complete Observability for Multicloud Serverless Architectures. Dynatrace has extended the platform’s deep and broad observability and advanced AIOps capabilities to all major serverless architectures. Dynatrace Launches DevSecOps Automation Alliance Partner Program.

Code 246

Code Software Software Serverless 246

Dynatrace

AUGUST 11, 2022

Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. FaaS vs. monolithic architectures. Monolithic architectures were commonplace with legacy, on-premises software solutions.

Development 279

Development Serverless Best Practices Lambda 279

Dynatrace

AUGUST 2, 2021

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

Azure 264

Azure Cloud Google AWS 264

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 246

AWS Cloud Lambda Azure 246

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 264

Cloud Azure Analytics AWS 264

Dynatrace

JULY 15, 2024

You also might be required to capture syslog messages from cloud services on AWS, Azure, and Google Cloud related to resource provisioning, scaling, and security events. These include traditional on-premises network devices and servers for infrastructure applications like databases, websites, or email.

Infrastructure 278

Infrastructure Network Azure Monitoring 278

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

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

JUNE 20, 2023

Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. Although the APIs were all managed by the Google API manager Apigee, the bank group was not getting consistent data types from the output.

Open Source 246

Open Source Google Serverless Azure 246

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. Bamboo, Azure DevOps, AWS CodePipeline …. Beyond basic metrics: Detecting Architectural Regressions.

Architecture 145

Architecture Open Source Azure Metrics 145

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. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

OCTOBER 2, 2024

This architecture also means you’re not required to determine your log data use cases beforehand or while analyzing logs within the new Logs app. With Dynatrace, there is no need to think about schema and indexes, re-hydration, or hot/cold storage concepts.

Azure 244

Azure DevOps Infrastructure Cloud 244

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?

AWS 305

AWS Efficiency Azure Cloud 305

Dynatrace

MAY 19, 2022

Example 1: Architecture boundaries. First, they took a big step back and looked at their end-to-end architecture (Figure 2). SLO dashboard defined by architectural boundary. In this case, the customer offers a managed service that runs on Amazon Web Services, Microsoft Azure, and Google. So, what did they do?

Automotive 290

Automotive Latency Architecture Azure 290

Dynatrace

SEPTEMBER 4, 2020

If you’re not familiar with Site Reliability Engineering (SRE) and the concepts of Service Level Indicators (SLIs), Service Level Objectives (SLOs) and Service Level Agreements (SLAs) I recommend watching the YouTube Video from Google Engineers called SLIs, SLOs, SLAs, oh my! class SRE implements DevOps) !

DevOps 325

DevOps Metrics Innovation Azure 325

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. New cloud-native technologies make observability more important than ever….

Analytics 236

Analytics Technology Technology Cloud 236

Dynatrace

MAY 17, 2019

Especially in dynamic microservices architectures, distributed tracing is an essential component of efficient monitoring, application optimization, debugging, and troubleshooting. Along with Microsoft, Google, and others, Dynatrace is a co-editor of the W3C Trace Context standard. Dynatrace news. What is distributed tracing?

Azure 187

Azure Open Source Transportation Programming 187

Dynatrace

MARCH 18, 2024

Suboptimal architecture design. Hyperscaler cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform can do this, too. Flexible pricing models that offer discounts based on commitment or availability can greatly reduce cloud waste. Poorly designed cloud solutions can become costly over time.

Best Practices 278

Best Practices Strategy Cloud AWS 278

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 246

Cloud Serverless Hardware Operating System 246

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 246

Infrastructure Cloud Java Azure 246

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. million AI server units annually by 2027, consuming 75.4+

Cache 276

Cache Azure Infrastructure Monitoring 276

Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Cloud-hosted Kubernetes clusters are on par to overtake on-premises deployments in 2023.

Open Source 358

Open Source Java Operating System Programming 358

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 246

Cloud Strategy Retail Energy 246

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 246

Artificial Intelligence Analytics Cloud Innovation 246

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. A decent solution is the W3C Trace context standard , created by Dynatrace, Google, Microsoft, and others.

Testing 246

Testing Open Source Metrics Infrastructure 246

Dynatrace

MARCH 24, 2023

Originally created by Google, Kubernetes was donated to the CNCF as an open source project. Part of its popularity owes to its availability as a managed service through the major cloud providers, such as Amazon Elastic Kubernetes Service , Google Kubernetes Engine , and Microsoft Azure Kubernetes Service.

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

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. However, open source software is often a vector for security vulnerabilities.

Cloud 245

Cloud Open Source Architecture Monitoring 245

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. The managed service runs on public clouds such as Amazon Web Services and Google Cloud. This self-managed offering can run on premises or in the cloud.

Open Source 246

Open Source Social Media Infrastructure Operating System 246

Dynatrace

JULY 13, 2020

The bold ones were building distributed architectures using SOA, trying to implement ESBs and this all looked good on paper but ended up being difficult to implement. . ? Containers and Microservices: R evolution in the architecture of distributed systems . ? GKE (Google Cloud Platform) . GKE (Google Cloud Platform) .

Google 167

Google DevOps Ecommerce Cloud 167

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 modernization.

Cloud 246

Cloud Artificial Intelligence Innovation Azure 246

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. With Cloud, we are leveraging the largest cloud providers’ locations, including AWS, Azure, Alibaba and Google coming very soon. So yes, we will have real physical locations.

Cloud 203

Cloud Hardware Testing Logistics 203

High Scalability

SEPTEMBER 28, 2018

Martin Sústrik : Philosophers, by and large, tend to be architecture astronauts. Programmers' insight is that architecture astronauts fail. vl : I have a hilarious story about this from Google: I wanted second 30" monitor, so I filed a ticket. That's not an obvious statement at all. There more.

Internet 35

Internet Internet Scalability Blockchain 35

Dynatrace

APRIL 22, 2022

“Dynatrace is enterprise-ready, including automated deployment and support for the latest cloud-native architectures with role-based governance,” Nalezi?ski ski explains. American Family turned to observability for cloud operations. Step 3: Create a single workflow for unified event management.

Cloud 242

Cloud Lambda Serverless AWS 242

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. All rights reserved. ** The Forrester Observability Reference Architecture: Putting It Into Practice, Forrester Research, Inc.,

Best Practices 290

Best Practices Analytics Artificial Intelligence Infrastructure 290