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

Dynatrace

OCTOBER 10, 2022

Many organizations today rely on cloud-native applications for their scalability and agility, among other benefits. However, not all cloud strategies are the same. Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Reduced latency.

Serverless 158

Serverless Infrastructure Lambda Latency 158

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 Efficiency Java Database 130

Dynatrace

APRIL 30, 2019

Pitometer is used to validate a deployment after it was successfully tested based on the defined testing strategy. 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 Help us make better deployment decisions.

Architecture 125

Architecture Open Source Azure Metrics 125

Dynatrace

AUGUST 16, 2021

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Providing standardized self-service pipeline templates, best practices, and scalable automation for monitoring, testing, and SLO validation. SLO validation – ?Automatically Topics in this blog series.

Software 245

Software Software Open Source Azure 245

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. See how to use Dynatrace in your cloud migration strategy. What is application modernization?

AWS 200

AWS Artificial Intelligence Analytics Cloud 200

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

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. A cloud migration strategy, however, provides technical optimization that’s also firmly rooted in the business value chain.

Cloud 158

Cloud Traffic Best Practices Strategy 158

Scalegrid

DECEMBER 6, 2023

Database as a Service (DBaaS) providers are an alternative option that acts almost like going on a cruise ship: quick provisioning is facilitated by them, while scalability, support services, and flexibility benefit from pay-as-you-go models. By utilizing this scalability, businesses have total freedom. You are both captain and crew.

Database 130

Database Cloud Hardware Storage 130

High Scalability

NOVEMBER 25, 2019

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. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Google cloud.

Architecture 52

Architecture Cache Azure Storage 52

Dynatrace

JULY 9, 2020

Keptn can integrate with other monitoring and observability platforms thanks to our event-driven architecture. This makes this use case very powerful and very easy to integrate into your existing CI/CD tools such as Jenkins, GitLab Pipelines, Azure DevOps or others. Another very popular use case is Performance as a Self-Service.

Cloud 179

Cloud DevOps Azure Architecture 179

Particular Software

JULY 18, 2022

Apache Kafka is a partitioned log and is a similar product in architecture to Azure Event Hubs or Amazon Kinesis. While Kafka can deal with high traffic volumes, the right partition strategy is a key factor and will have a major impact on the scalability and elasticity of the whole system. What is Kafka?

Transportation 98

Transportation Azure Processing Systems 98

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. Microservices architecture combines loosely-coupled functions to create high-performing applications.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

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 Infrastructure 52

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. Download our eBook, “ Enterprise Guide to Cloud Databases ” to help you make more informed decisions and avoid costly mistakes as you develop and execute your cloud strategy.

AWS 52

AWS Database Serverless Storage 52

IO River

NOVEMBER 2, 2023

This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.‍A Businesses can adjust configurations to manage everything from basic distribution settings to intricate geo-targeted content caching and delivery strategies, all with the same ease.‍‍2.

Open Source 40

Open Source DevOps AWS Infrastructure 40

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. This strategy is very simple and closely resembles the development environment, but cannot handle large or inconsistent amounts of traffic effectively.

Media 70

Media Cache Storage AWS 70

Tasktop

MARCH 16, 2021

roles to build a solution for just one product value stream, as well as laying the architectural foundations to scale across multiple value streams in your portfolio. An adaptable, scalable and reliable Flow Metrics solution is not just a nice to have add-on. On average, you will need at least nine full-time(!)

Metrics 52

Metrics Healthcare Automotive Innovation 52

ScaleOut Software

JANUARY 31, 2020

They are made possible by scalable, in-memory computing technology hosted on clusters of cloud-based servers. This provides the fast response times and scalable throughput needed to support many thousands of data sources.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

Tasktop

MARCH 16, 2021

roles to build a solution for just one product value stream, as well as laying the architectural foundations to scale across multiple value streams in your portfolio. An adaptable, scalable and reliable Flow Metrics solution is not just a nice to have add-on. On average, you will need at least nine full-time(!)

Metrics 40

Metrics Healthcare Automotive Innovation 40

ScaleOut Software

JANUARY 31, 2020

They are made possible by scalable, in-memory computing technology hosted on clusters of cloud-based servers. This provides the fast response times and scalable throughput needed to support many thousands of data sources.

Analytics 52

Analytics Social Media Serverless Cloud 52

Abhishek Tiwari

NOVEMBER 3, 2018

When it comes to innovation, most of CMS solutions are constrained by their legacy architecture (read strong coupling between content management and content presentation) which makes it difficult to serve content to new types of emerging channels such as apps and devices. At the core, a traditional CMS is a monolith.

Systems 63

Systems Cache Website Network 63