Scalegrid

FEBRUARY 8, 2024

Real-World Use Cases of Distributed Storage Distributed storage systems are the backbone of massively scalable storage services, designed to serve both cloud-based and on-premises environments. Amazon S3 and Microsoft Azure Blob Storage leverage distributed storage solutions.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 210

Analytics Monitoring Artificial Intelligence DevOps 210

Dynatrace

SEPTEMBER 29, 2021

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. In a nutshell, they are complementary and, in part, overlapping technologies to create, manage, and operate containers. Event logs for ad-hoc analysis and auditing.

Open Source 303

Open Source Traffic DevOps Cloud 303

Dynatrace

AUGUST 24, 2020

To provide actionable answers monitoring systems store, baseline, and analyze telemetry data. Based on this analysis, these systems can take actions such as alerting or remediation. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises.

Analytics 242

Analytics Infrastructure AWS Operating System 242

Dynatrace

NOVEMBER 29, 2021

Red Hat OpenShift is a cloud-based Kubernetes platform that helps developers build applications. It offers automated installation, upgrades, and life cycle management throughout the container stack — the operating system, Kubernetes and cluster services, and applications — on any cloud. Dynatrace news. What is OpenShift?

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario.

Azure 72

Azure Virtualization Servers Storage 72

Dynatrace

MAY 17, 2023

It is available for the major OS and cloud platforms (for example, Windows, Linux, Solaris, AWS, Azure, and more) and only requires the deployment of a single service to monitor its environment. We’d like to get deeper insight into the host, the underlying operating system, and any third-party services used by our application.

Metrics 173

Metrics Monitoring Database Network 173

Dynatrace

AUGUST 24, 2020

To provide actionable answers monitoring systems store, baseline, and analyze telemetry data. Based on th is analysis , these systems can take actions such as alerting or remediation. OneAgent and its Operator . Get deep Kubernetes observability with cloud application view . Observing your application.

Analytics 135

Analytics Infrastructure AWS Operating System 135

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. VMs require their own operating system and take up additional resources. Serverless platforms. Service mesh.

Architecture 202

Architecture Serverless Azure Programming 202

Dynatrace

JUNE 1, 2021

Even a conflict with the operating system or the specific device being used to access the app can degrade an application’s performance. Root-cause and impact analysis of application performance problems and business outcomes for faster, more reliable incident resolution. Why cloud-native applications make APM challenging.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Adrian Cockcroft

APRIL 5, 2023

This would open up opportunities to leverage existing performance monitoring tools and dashboards, extend optimization tools like autoscalers and schedulers, and to build new kinds of carbon analysis and optimization tools and services. Carbon measurements are by their nature imprecise and based on estimates and models that include variation.

Energy 52

Energy Metrics Cloud Operating System 52

High Scalability

NOVEMBER 25, 2019

Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Migration to cloud. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52