Dynatrace

AUGUST 2, 2021

Hyperscalers are often organizations that provide seamless delivery to build a robust and scalable cloud. 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.

Azure 264

Azure Cloud Google AWS 264

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. How does function as a service affect scalability? But what is FaaS? What is FaaS?

Development 279

Development Serverless Best Practices Lambda 279

Dynatrace

AUGUST 17, 2021

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. Giants like Google and Microsoft once employed monolithic architectures almost exclusively. Dynatrace news. To fully answer “What are microservices?” Microservices benefits.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. Giants like Google and Microsoft once employed monolithic architectures almost exclusively. Dynatrace news. To fully answer “What are microservices?” Microservices benefits.

Architecture 246

Architecture Software Software Development 246

Dynatrace

SEPTEMBER 29, 2021

This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. Just as people use Xerox as shorthand for paper copies and say “Google” instead of internet search, Docker has become synonymous with containers. What is Docker? Kubernetes vs Docker Swarm.

Open Source 334

Open Source DevOps Traffic Cloud 334

High Scalability

SEPTEMBER 19, 2018

With the enormous attack surface of cloud providers like AWS, Azure, and GCP, why aren't there more security problems? Google has an ebook on their security approach; Microsoft has some web pages. Data breaches and cyber attacks occur daily. How do you explain the unreasonable effectiveness of cloud security?

Cloud 235

Cloud AWS Azure Google 235

Dynatrace

OCTOBER 1, 2021

Volume, velocity, variety, and complexity : It’s nearly impossible to get answers from the sheer amount of raw data collected from every component in ever-changing modern cloud environments, such as AWS , Azure , and Google Cloud Platform (GCP). Making observability actionable and scalable for IT teams.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

JANUARY 5, 2022

To do so we have successfully established AI-based White box load and resiliency testing with JMeter and Dynatrace, helping identify and resolve major performance and scalability problems in recent projects before deploying to production. Our customers usually involve us 2-4 weeks before the production release.

Testing 246

Testing Open Source Metrics Infrastructure 246

High Scalability

JULY 6, 2018

tyingq : This is why AWS and Azure continue to gain market share in cloud, while Google remains relativity stagnant, despite (in many cases) superior technology. Source: 10+ meetings, with different clients, I attended where the Google sales pitch was basically "we are smarter than you, and you will succumb". The Borg approach.

Internet 110

Internet Internet Scalability Google 110

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). Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform.

Open Source 358

Open Source Java Operating System Programming 358

Dynatrace

JULY 7, 2022

In fact, giants like Google and Microsoft once employed monolithic architectures almost exclusively. Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. Serverless platforms.

Architecture 246

Architecture Serverless Azure Programming 246

Dynatrace

MAY 8, 2023

This led to scalability issues, as teams were stuck managing dozens of custom integrations where a small issue could lead to a major problem. Additionally, Dynatrace provides organizations with more than 625 integrations, including AWS Lambda, Microsoft Azure Functions, Google Cloud Functions, and more.

Open Source 246

Open Source Strategy Lambda Metrics 246

Dynatrace

FEBRUARY 16, 2023

With increased scalability, agility, and flexibility, cloud computing enables organizations to improve supply chains, deliver higher customer satisfaction, and more. That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization.

Artificial Intelligence 246

Artificial Intelligence Analytics Cloud Innovation 246

High Scalability

JUNE 15, 2018

work at Google or Facebook; 18 : years of NASA satellite data; >1TB : Ethereum blockchain; 200,000 trillion : IBM's super computer calculations per second; Quotable Quotes: Michael Pollan : “I have no doubt that all that Hubbard LSD all of us had taken had a big effect on the birth of Silicon Valley. They'll love you even more.

Internet 113

Internet Internet Scalability Blockchain 113

Dynatrace

MARCH 18, 2024

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Hyperscaler cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform can do this, too.

Best Practices 278

Best Practices Strategy Cloud AWS 278

Scalegrid

MAY 13, 2020

Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. This combination helps you improve the parallelism, scalability, and predictive accuracy of your Greenplum machine learning deployment. At a glance – TLDR. The Greenplum Architecture. Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

High Scalability

JULY 20, 2018

Don't miss all that the Internet has to say on Scalability, click below and become eventually consistent with all scalability knowledge (which means this post has many more items to read so please keep on reading). That’s mapping applications to the specific architectural choices. There are a few more quotes.

Internet 121

Internet Internet Scalability Automotive 121

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

NOVEMBER 17, 2020

PurePath 4 supports serverless computing out-of-the-box, including Kubernetes services from Amazon Web Services (AWS) , Microsoft Azure , and Google Cloud Platform (GCP). FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes. Technical scalability without limits.

Analytics 236

Analytics Technology Technology Cloud 236

High Scalability

JUNE 22, 2018

Eitally : there are a few critical differences between GCP and AWS or Azure. Setting aside the network quality & performance, which is objectively superior with Google, outside of GCE almost every other GCP product is offered as a managed service. Beyond that, there are several -- like Spanner -- that don't exist anywhere else.

Internet 113

Internet Internet Scalability Artificial Intelligence 113

Dynatrace

JULY 13, 2020

How do you make it scalable? . I f there was any company that was positioned to understand those problems and limitations of containers before anyone else, it was Google. . ? GKE (Google Cloud Platform) . GKE (Google Cloud Platform) . AKS (Microsoft Azure) . But how will you set up the communication?

Google 173

Google DevOps Ecommerce Cloud 173

Dynatrace

MAY 31, 2021

How do you make it scalable? Kubernetes forged by the rise of Google. If there was any company positioned to understand the problems and limitations of containers before anyone else, it was Google. Google has been running production workloads in containers longer than any other organization. IBM Cloud Kubernetes Service.

Virtualization 182

Virtualization DevOps Infrastructure Cloud 182

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. Taken together, these features enable organizations to build software that is more scalable, reliable, and flexible than traditionally built software.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

NOVEMBER 23, 2020

When using managed environments like Google Kubernetes Engine (GKE) , Amazon Elastic Kubernetes (EKS) , or Azure Kubernetes Service it’s easy to spin up a new cluster. When designing and running modern, scalable, and distributed applications, Kubernetes seems to be the solution for all your needs. The Kubernetes experience.

Virtualization 237

Virtualization Infrastructure Monitoring Cloud 237

Dynatrace

JULY 13, 2020

How do you make it scalable? . I f there was any company that was positioned to understand those problems and limitations of containers before anyone else, it was Google. . ? GKE (Google Cloud Platform) . GKE (Google Cloud Platform) . AKS (Microsoft Azure) . But how will you set up the communication?

Google 130

Google DevOps Ecommerce Cloud 130

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. Exploring artificial intelligence in cloud computing reveals a game-changing synergy.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Scalegrid

APRIL 5, 2024

It enhances scalability and manages traffic surges, though it requires specific client support and limits multi-key operations to a single hash slot. It offers automatic data sharding, master-replica configurations for high availability, and a scalable and flexible architecture to maintain consistent performance.

Scalability 130

Scalability Java Efficiency Database 130

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 …. The outcome of the presentation and the follow up discussions at Neotys PAC lead to Pitometer!

Architecture 149

Architecture Open Source Azure Metrics 149

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Infrastructure Artificial Intelligence 130

Dynatrace

NOVEMBER 29, 2021

Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. It also protects your development infrastructure at scale with enterprise-grade security. How OpenShift enhances Kubernetes.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

O'Reilly

OCTOBER 19, 2021

Cloud-based data warehouses, such as Snowflake , AWS’ portfolio of databases like RDS, Redshift or Aurora , or an S3-based data lake , are a great match to ML use cases since they tend to be much more scalable than traditional databases, both in terms of the data set sizes as well as query patterns. Software Development Layers.

DevOps 145

DevOps Software Engineering Infrastructure Open Source 145

Scalegrid

JANUARY 12, 2024

Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices. Strategic allocation of these resources plays a crucial role in achieving scalability, cost savings, improved performance, and staying ahead of advancements in the field.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

SEPTEMBER 17, 2019

If you’re an IT or cloud administrator, make sure to check out Dynatrace’s capabilities on monitoring k8s clusters , AWS , VMWare , OpenStack , Azure , Google GCP , OpenShift , CloudFoundry. If you want to learn more check out my YouTube Tutorial on Advanced Diagnostics. Monitoring as a Self-Service is just the First Step.

AWS 170

AWS Monitoring Ecommerce Lambda 170

Scalegrid

MARCH 22, 2024

This process thoroughly assesses factors like cost-effectiveness, security measures, control levels, scalability options, customization possibilities, performance standards, and availability expectations. Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy.

Strategy 130

Strategy Cloud Government Innovation 130

KeyCDN

FEBRUARY 22, 2023

Cloud-based development and deployment One of the main advantages of cloud-based development and deployment is scalability. There are several popular cloud-based platforms for web development and deployment, such as AWS , Azure , and Google Cloud Platform.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Percona

APRIL 12, 2023

They came up with a horizontally scalable NoSQL database. MongoDB Enterprise editions and MongoDB Atlas — which integrates with Amazon Web Services (AWS), Microsoft Azure, and the Google Cloud Platform (GCP) — are not free. Is MongoDB free for commercial use? Is MongoDB an open source NoSQL database?

Open Source 98

Open Source Programming Database Servers 98

High Scalability

JUNE 27, 2019

Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Or, considering adding a new database to your application and want to see which combinations are most popular?

Open Source 196

Open Source Database Cloud Strategy 196