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. FaaS vs. monolithic architectures. How does function as a service affect scalability?

Development 256

Development Serverless Best Practices Lambda 256

Dynatrace

DECEMBER 8, 2022

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. They are similar to site reliability engineers (SREs) who focus on creating scalable, highly reliable software systems. Amazon Web Services (AWS). Microsoft Azure. Kubernetes.

DevOps 196

DevOps Engineering Testing Open Source 196

Dynatrace

AUGUST 2, 2021

Hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. Hyperscalers are often organizations that provide seamless delivery to build a robust and scalable cloud. More recently, there has been a lot of talk about hyperscale and hyperscalers, but what exactly is “hyperscale”?

Azure 263

Azure Cloud Google AWS 263

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 Beyond basic metrics: Detecting Architectural Regressions. Use this to detect any architectural regressions introduced through code or config changes.

Architecture 125

Architecture Open Source Azure Metrics 125

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 169

Serverless Infrastructure Lambda Latency 169

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?

Strategy 147

Strategy Cloud 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

JULY 20, 2018

That’s mapping applications to the specific architectural choices. The third wing of the architecture piece is the “domain specific system-on-chip.” And you already see that in machine learning, where there’s a really hot field in terms of deep neural nets and other implementations. There are a few more quotes.

Internet 121

Internet Internet Scalability Automotive 121

Dynatrace

SEPTEMBER 17, 2019

AWS EKS for Integration and Production. MaaSS for Cloud Architects: Deployment and Architecture Validations. 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. NGINX as an API Gateway.

AWS 128

AWS Monitoring Ecommerce Lambda 128

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

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 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 266

Artificial Intelligence Analytics Metrics Storage 266

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 347

Open Source Java Operating System Programming 347

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

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 159

Analytics Technology Technology Cloud 159

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 . ? How do you make it scalable? . AKS (Microsoft Azure) .

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. . ? Containers and Microservices: R evolution in the architecture of distributed systems . ? How do you make it scalable? . AKS (Microsoft Azure) .

Google 130

Google Ecommerce DevOps Cloud 130

Dynatrace

FEBRUARY 9, 2021

The devil is in the detail, though because of the sheer number, breadth, and volatility of technologies used in modern architectures and the immense volume, velocity, and variety of data they produce. The Hub includes the most prominent platforms like Kubernetes and Red Hat OpenShift as well as public cloud vendors like AWS, GCP, and Azure.

Software 146

Software Software Technology Technology 146

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 169

Cloud Traffic Best Practices Strategy 169

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

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52

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 Architecture.

DevOps 137

DevOps Software Engineering Infrastructure Open Source 137

IO River

NOVEMBER 2, 2023

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started ‍Terraform is a revolution in the way we handle infrastructure.

Open Source 52

Open Source DevOps AWS Azure 52

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

IO River

NOVEMBER 2, 2023

In fact, Amazon Web Services (AWS) paved the way with its service, CloudFormation, which introduced the concept of Infrastructure as Code (IaC). Taking inspiration from AWS's CloudFormation, HashiCorp introduced Terraform with a broader vision. Terraform is a revolution in the way we handle infrastructure.

Open Source 40

Open Source DevOps AWS Azure 40

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

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. Scalability.

Serverless 57

Serverless Monitoring Lambda Latency 57

Enprowess

JANUARY 12, 2022

Serverless Architecture. Serverless Architecture. Serverless architecture is the fastest-growing cloud computing paradigm nowadays. This architecture runs on cloud technology, and developers can focus on the code instead of the scaling, maintenance, and infrastructure facilities. Single Page Applications (SPAs).

Blockchain 59

Blockchain IoT Development Serverless 59

cdemi

DECEMBER 4, 2016

Maximizing Scalability : Number of Queues and Services can be varied to meet Demand. Azure Service Bus - The Go-To choice if you're already on Azure, High Throughput, Predictable Performance, Predictable Pricing, Secure, Scalable on Demand.

Design 47

Design Azure Scalability Latency 47

Smashing Magazine

JUNE 25, 2020

Today, we’ll address storing and serving files for both single-server and scalable deployments while considering factors like compression, caching, and availability. Small projects benefit from simple architecture. Additionally, you will need to set up credential access to your AWS bucket. Option 1: Default Django.

Media 69

Media Cache Storage AWS 69

ScaleOut Software

MAY 19, 2020

This highly scalable cloud service is designed to simultaneously and cost-effectively track telemetry from millions of data sources and provide real-time feedback in milliseconds while simultaneously performing continuous, aggregate analytics every few seconds.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

This highly scalable cloud service is designed to simultaneously and cost-effectively track telemetry from millions of data sources and provide real-time feedback in milliseconds while simultaneously performing continuous, aggregate analytics every few seconds.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources.

Logistics 52

Logistics Retail Analytics Azure 52

VoltDB

JUNE 1, 2017

Instead of having a private cloud architecture that’s cookie-cuttered to multiple locations, we’ll need centralized management of herds of up to 1,000 private clouds. They want to compete with AWS or Azure, and want to use OpenStack as a foundation for a commercial offering. The “Public Private Cloud” folks.

Hardware 56

Hardware Latency Virtualization Cloud 56

VoltDB

JUNE 1, 2017

Instead of having a private cloud architecture that’s cookie-cuttered to multiple locations, we’ll need centralized management of herds of up to 1,000 private clouds. They want to compete with AWS or Azure, and want to use OpenStack as a foundation for a commercial offering. The “Public Private Cloud” folks.

Hardware 40

Hardware Latency Virtualization Cloud 40