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 232

Best Practices Strategy Cloud AWS 232

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. ” According to Google, “SRE is what you get when you treat operations as a software problem.”

Engineering 254

Engineering DevOps Government Latency 254

Scalegrid

JANUARY 8, 2024

AI-driven cloud solutions like ScaleGrid offer a diverse range of database hosting options, robust infrastructure optimized for scalability and security, and enable significant cost reductions, supporting businesses in efficient growth and improved ROI. In this way, intelligent automation is a game-changer in the cloud computing landscape.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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. at Venetian Delfino 4006.

AWS 213

AWS Cloud Lambda Azure 213

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. ” According to Google, “SRE is what you get when you treat operations as a software problem.”

Engineering 176

Engineering DevOps Government Latency 176

Dynatrace

MAY 31, 2023

How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

Best Practices 223

Best Practices DevOps Latency Metrics 223

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. McConnell said.

Cloud 222

Cloud Artificial Intelligence Innovation Azure 222

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. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 247

AWS Efficiency Azure Cloud 247

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. OpenTelemetry reference architecture. Metrics originate from several sources including infrastructure, hosts, and third-party sources.

Open Source 219

Open Source Metrics Cloud Transportation 219

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 259

Cloud Azure Analytics AWS 259

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?

Cloud 177

Cloud Open Source Architecture Monitoring 177

cdemi

FEBRUARY 20, 2017

Serverless is currently a hot topic in many modern architectural patterns. Serverless systems are still in their infancy. 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. Google: Google Cloud Functions. Advantages.

Serverless 64

Serverless Architecture Lambda Azure 64

Scalegrid

MARCH 22, 2024

Register now for free and experience the seamless operation of your databases across multi-cloud and hybrid-cloud systems. Setting up clear rules for managing your cloud infrastructure is key to keeping things from getting out of hand. Elevate your cloud strategy today with ScaleGrid!

Strategy 130

Strategy Cloud Government Innovation 130

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

Dynatrace

DECEMBER 13, 2023

In the webinar “ Intelligent Kubernetes observability and automation ,” Dynatrace expert Henrik Rexed and GCP experts Gari Singh and Alisha Stull provide insights into leveraging AI-powered observability and automation to gain granular insights into Kubernetes environments on Google Cloud Platform at an enterprise scale.

Google 225

Google Cloud Infrastructure Metrics 225

Dynatrace

DECEMBER 27, 2022

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. First, it helps to understand that applications and all the services and infrastructure that support them generate telemetry data based on traffic from real users.

Software 263

Software Software Benchmarking Latency 263

Dynatrace

AUGUST 28, 2020

With the acceleration of complexity, scale, and dynamic systems architectures, under-resourced IT teams are under increasing pressure to understand when there is abnormal behavior, identify the precise reason why this occurred, quickly remediate the issue, and prevent this behavior in the future. How do you make a system ‘observable’?

IoT 161

IoT Infrastructure Monitoring Innovation 161

Adrian Cockcroft

FEBRUARY 9, 2023

The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. The next layer is operating system platforms, what flavor of Linux, what version of Windows etc. Both mobile and web front ends call an Application Program Interface (API) that is managed by an API proxy.

Engineering 137

Engineering Serverless Lambda AWS 137

Dynatrace

MAY 7, 2019

So, he started selling open source Linux and Unix operating systems with his famous sales pitch “You wouldn’t buy a car with the hood welded shut”. The name he chose for his product was – unsurprisingly – “Red Hat Linux”, and soon became famous as a stable and easy-to-use operating system. What makes these solutions great?

Open Source 113

Open Source DevOps Innovation Infrastructure 113

High Scalability

NOVEMBER 14, 2018

Five years ago when Google published The Datacenter as a Computer: Designing Warehouse-Scale Machines it was a manifesto declaring the world of computing had changed forever. Since then the world has chosen to ride along with Google. If you like this kind of stuff, you might also like Google's New Book: The Site Reliability Workbook.

Design 54

Design Education Google Internet 54

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 200

Architecture Serverless Azure Programming 200

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. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. What is hybrid cloud architecture?

Infrastructure 182

Infrastructure Cloud Azure AWS 182

Jos

JUNE 2, 2018

Google’s Lighthouse is one of them, which shows information about PWA, SEO and more. presented in Google IO 2018 ( source ) These tools make it easier to determine where we need to put emphasis to improve our sites. UI/UX : There is usually a designer and/or UX person that sets the look & feel and information architecture.

Performance 237

Performance Speed Google Media 237

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. In serverless architecture, when applications are developed, they are typically composed of many different services. Other benefits to serverless architecture include the following: Cost. Monitoring.

Serverless 57

Serverless Monitoring Lambda Latency 57

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? Immutable infrastructure. Declarative APIs.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

O'Reilly

OCTOBER 31, 2019

We recently learned about a major breakthrough: Google says it has achieved “quantum supremacy” with a 53-qubit computer. Google performed a computation in a few minutes (3 minutes, 20 seconds to be precise ) that would have taken more than 10,000 years on the most powerful computers we currently have.

Artificial Intelligence 53

Artificial Intelligence Google Software Architecture Cloud 53

Scalegrid

MARCH 14, 2024

Key Takeaways A hybrid cloud platform combines private and public cloud providers with on-premises infrastructure to create a flexible, secure, cost-effective IT environment that supports scalability, innovation, and rapid market response. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

O'Reilly

DECEMBER 2, 2019

I don’t need more bandwidth for video conferences or movies, but I would like to be able to download operating system updates and other large items in seconds rather than minutes. We’ve seen the reaction to news that Amazon’s Echo and Google Home send recordings of conversations back to the server. I have 30 or 40 GB of photos.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

Jos

JUNE 2, 2018

Google’s Lighthouse is one of them, which shows information about PWA, SEO and more. presented in Google IO 2018 ( source ). Setting up CI/CD : Although developers could come up with their own build and deployment pipelines, chances are that they are relying on some infrastructure provided by another team (eg an “infra” team).

Performance 130

Performance Speed Google Media 130

The Morning Paper

FEBRUARY 23, 2020

Our approach differs substantially by (1) providing economic incentives for data to be contributed and integrated into existing schemas, (2) offering a SQL interface instead of graph based approaches, (3) including the computational and storage infrastructure in the architectural vision. Market participants.

Blockchain 94

Blockchain Internet Internet IoT 94

Dynatrace

AUGUST 11, 2022

This enables teams to quickly develop and test key functions without the headaches typically associated with in-house infrastructure management. 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.

Development 251

Development Serverless Best Practices Lambda 251

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. NoSQL database.

Analytics 188

Analytics Artificial Intelligence Big Data Open Source 188

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 Infrastructure 363

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. 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.

Serverless 244

Serverless Efficiency Lambda Azure 244

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. . ? Cloud: A utomation of infrastructure and services on-demand, pay as you use model . How do you make this system resilient and fault-tolerant?

Google 132

Google Ecommerce DevOps Cloud 132

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. . ? Cloud: A utomation of infrastructure and services on-demand, pay as you use model . How do you make this system resilient and fault-tolerant?

Google 130

Google Ecommerce DevOps Cloud 130

Abhishek Tiwari

JULY 12, 2018

In a nutshell, a data pipeline is a distributed system. Although based on the load it may be possible to infinitely scale the data pipeline but that will come with a cost which most companies other than Google or Amazon will struggle to justify. Testing Hell Testing and quality assurance with data pipeline is a nightmare.

Latency 63

Latency Analytics Scalability Engineering 63