High Scalability

FEBRUARY 8, 2019

Last time I checked, AWS was still lagging behind Azure and GCP on Kubernetes, but I have a strong feeling they're prioritizing improving EKS over ECS. Kubernetes solves everything ECS solves, but usually better and without sveral of the issues mentioned here. Are there more quotes?

Internet 188

Internet Internet Scalability Wireless 188

Simform

DECEMBER 16, 2020

Read this blog to understand and analyze the comparison between AWS Lambda vs Azure Functions vs Google Cloud Functions. Get to know their current version and compare performance, security, pricing, and scalability. Wondering which serverless provider is right for you?

Lambda 111

Lambda Serverless Azure Google 111

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization. Easy scalability. million in 2020. Managed orchestration.

Serverless 297

Serverless Azure Hardware Transportation 297

High Scalability

APRIL 26, 2019

They'll learn a lot and hold you in even greater awe. $30 30 million : Apple's per month AWS bill ( a ~50% reduction ); 73% : Azure YoY growth; 3,500 : times per day andon cords are pulled at Toyota; $1 trillion : size of micromobility market; $1 billion : cryptopiracy is the new sea piracy; $702 million : Tesla fist quarter loss; $5.0

Internet 28

Internet Internet Scalability Azure 28

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? It's almost as if he's a FLoC guy working at AWS rather than an AWS guy giving a FLoC talk. Data breaches and cyber attacks occur daily. What's the trick to 6-pack security? Proving systems correct.

Cloud 235

Cloud AWS Azure Google 235

Dynatrace

AUGUST 2, 2021

Hyperscalers are often organizations that provide seamless delivery to build a robust and scalable cloud. Dynatrace is a partner with the hyperscalers you use most, with deep innovative integrations with AWS , Azure , Google , and many more. Some examples include Amazon, Microsoft, and Google.

Azure 264

Azure Cloud Google AWS 264

Dynatrace

AUGUST 17, 2021

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. Microservices architecture helps teams become more flexible and bring highly scalable apps to market faster. Dynatrace news. Focused on delivering business value. 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. Microservices architecture helps teams become more flexible and bring highly scalable apps to market faster. Dynatrace news. Focused on delivering business value. Microservices benefits.

Architecture 246

Architecture Software Software Development 246

Dynatrace

SEPTEMBER 17, 2019

AWS EKS for Integration and Production. When focusing on the LanguageController service we learn that it’s currently deployed in three pods across three EKS nodes across two AWS Availability Zones (AZ). 4 AWS EFS monitoring. Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway.

AWS 170

AWS Monitoring Ecommerce Lambda 170

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

DZone

OCTOBER 7, 2024

Many organizations rely on cloud services like AWS, Azure, or GCP for these GPU-powered workloads, but a growing number of businesses are opting to build their own in-house model serving infrastructure. While cloud GPU instances offer scalability, many organizations prefer in-house infrastructure for several key reasons:

Infrastructure 173

Infrastructure Azure Hardware AWS 173

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. For example, Amazon Web Services (AWS) charges for data transfer between Amazon EC2 instances within the same region. Unnecessary data transfer.

Best Practices 278

Best Practices Strategy Cloud AWS 278

Dynatrace

DECEMBER 8, 2022

They are similar to site reliability engineers (SREs) who focus on creating scalable, highly reliable software systems. Amazon Web Services (AWS). Automated DevOps throughout AWS hybrid-cloud environments. Microsoft Azure. ” What does a DevOps platform engineer do? Kubernetes. Configuration management.

DevOps 246

DevOps Engineering Testing Open Source 246

Dynatrace

AUGUST 25, 2023

Kubernetes workload management is easier with a centralized observability platform When deploying applications with Kubernetes, the configuration is flexible and declarative, allowing for scalability. To properly monitor Kubernetes clusters and containers, it’s necessary to have access to relevant logs.

Serverless 246

Serverless Analytics AWS Azure 246

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Scalability is a major feature of GCF. What is Google Cloud Functions?

Google 246

Google Cloud Serverless Azure 246

Dynatrace

OCTOBER 10, 2022

Many organizations today rely on cloud-native applications for their scalability and agility, among other benefits. Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Serverless benefits include the following: Dynamic scalability.

Serverless 241

Serverless Infrastructure Lambda Latency 241

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

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

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

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). The third wing of the architecture piece is the “domain specific system-on-chip.” Not so many this week.

Internet 121

Internet Internet Scalability Automotive 121

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. Their sales staff is arrogant and has no idea how to sell into F500 type companies. Then again, technological advances often begin with attempts to do something familiar.

Internet 110

Internet Internet Scalability Google 110

Dynatrace

JANUARY 31, 2024

The exponential growth of data volume—including observability, security, software lifecycle, and business data—forces organizations to deal with cost increases while providing flexible, robust, and scalable ingest. Understanding the context. OpenPipeline is available to Dynatrace customers at no additional cost.

Analytics 272

Analytics Processing Transportation Storage 272

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

FEBRUARY 9, 2021

The Hub includes the most prominent platforms like Kubernetes and Red Hat OpenShift as well as public cloud vendors like AWS, GCP, and Azure. Our goal is to make this process simple, scalable, and enjoyable. The extension framework covers the entire lifecycle of extensions including deployment and maintenance.

Software 221

Software Software Technology Technology 221

High Scalability

JUNE 22, 2018

Eitally : there are a few critical differences between GCP and AWS or Azure. 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). Get them while they're hot.

Internet 113

Internet Internet Scalability Artificial Intelligence 113

Dynatrace

SEPTEMBER 30, 2021

Cloud services platforms like AWS, Azure, and GCP are reshaping how organizations deliver value to their customers, making cloud migration an increasingly attractive option for running applications. Increased scalability. But what does it take to migrate your existing applications to the cloud? Reduced cost.

Cloud 241

Cloud Traffic Best Practices Strategy 241

Dynatrace

JULY 7, 2022

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. So applications don’t have to wrestle over shared resources during runtime. This helps to keep individual services more lightweight.

Architecture 246

Architecture Serverless Azure Programming 246

Dynatrace

OCTOBER 6, 2023

ALLOW storage:buckets:read WHERE storage:bucket-name STARTSWITH "prod_infra_"; However, creating access policies solely on the bucket and table level is not scalable in a enterprise landscape, as one Dynatrace tenant can have a limited number of custom buckets.

Artificial Intelligence 279

Artificial Intelligence Metrics Analytics Storage 279

Dynatrace

JULY 13, 2020

Two years later, I came across that same customer at the AWS re:Invent conference , who then told me they were in the midst of a big project, moving their eCommerce to AWS , targeting running a big chunk of it in Kubernetes next year. . How do you make it scalable? . AKS (Microsoft Azure) . IKS (IBM Cloud) .

Google 173

Google DevOps Ecommerce Cloud 173

Dynatrace

APRIL 30, 2019

Bamboo, Azure DevOps, AWS CodePipeline …. You can also checkout an open source web microservice app and an Azure function app that utilize the Keptn Pitometer Node.js If you want to automate deployment validation based on metrics or data from tools that you already use in your CI/CD pipeline give Pitometer a try.

Architecture 149

Architecture Open Source Azure Metrics 149

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

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

Scalegrid

JANUARY 8, 2024

Key Takeaways Multi-cloud involves using services from multiple cloud providers to gain flexibility and reduce vendor lock-in, while hybrid cloud combines private and public cloud resources to balance control and scalability. But what is the purpose behind this model?

Cloud 147

Cloud Strategy Scalability Artificial Intelligence 147

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

High Scalability

APRIL 16, 2019

At ScaleGrid, we offer highly available hosting for MySQL on AWS and MySQL on Azure that is implemented based on the concepts explained in this blog series. This concludes our 3-part blog series on the MySQL High Availability (HA) framework using semisynchronous replication and the Corosync plus Pacemaker stack.

Availability 149

Availability Network Azure AWS 149

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