ScaleOut Software

JULY 19, 2021

This data is also periodically uploaded to a data lake for offline batch analysis that calculates key statistics and looks for big trends that can help optimize operations. Hosted on a cluster of physical or virtual servers, it maintains memory-based state information about the history and dynamically evolving state of every data source.

IoT 78

IoT Analytics Big Data Architecture 78

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. One important choice you will still have to make is what type and size of Azure virtual machine you want to use for your existing SQL Server workload.

Azure 72

Azure Virtualization Servers Storage 72

Scalegrid

FEBRUARY 8, 2024

By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes. These systems safeguard against the risk of data loss due to hardware failure or network issues by spreading data across multiple nodes.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

NOVEMBER 11, 2022

More organizations are adopting a hybrid IT environment, with data center and virtualized components. Therefore, they need an environment that offers scalable computing, storage, and networking. Instead of treating storage, server, compute, and network functions as separate entities, HCI virtualizes these resources.

Infrastructure 200

Infrastructure Storage Virtualization Network 200

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. This applies to both virtual machines and container-based deployments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JUNE 29, 2022

Five available hybrid cloud platforms from the top public cloud providers include the following: Azure Stack : Consumers can access different Azure cloud services from their own data center and build applications for Azure cloud. Support virtual machines and containers. Optimize critical applications’ performance.

Infrastructure 181

Infrastructure Cloud Azure AWS 181

Dynatrace

AUGUST 24, 2020

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. Dynatrace VMware and virtualization documentation . Dynatrace root cause analysis documentation .

Analytics 240

Analytics Infrastructure AWS Operating System 240

Dynatrace

NOVEMBER 12, 2021

FedScoop: There are a lot of solutions that claim to provide a single-pane-of-glass view of agency networks and applications. What they’re missing is true causal analysis. And it has to start sending those key telemetry points and do the analysis automatically. And that was well before AWS, Azure, and cloud.

Cloud 171

Cloud Monitoring Network Azure 171

Dynatrace

JULY 10, 2019

OneAgents are optimized to send data to the Dynatrace servers with the smallest possible impact, querying the metrics every minute, and the data is a first-class citizen for the Dynatrace AI root-cause analysis. Dynatrace provides out-of-the-box support for VMware, AWS, Azure, Pivotal Cloud Foundry, and Kubernetes.

Java 137

Java Best Practices Metrics Azure 137

O'Reilly

FEBRUARY 18, 2020

Along with R , Python is one of the most-used languages for data analysis. there’s a Python library for virtually anything a developer or data scientist might need to do. In the generic software architecture topic, usage in the containers topic increased in our 2019 analysis, growing by 17%. Cloud continuing to climb.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

Dynatrace

AUGUST 24, 2020

Based on th is analysis , these systems can take actions such as alerting or remediation. Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. . Dynatrace VMware and virtualization documentation . OneAgent and its Operator .

Analytics 135

Analytics Infrastructure AWS Operating System 135

SQL Server According to Bob

JULY 13, 2016

Over the years this product has grown into a complete data platform including Reporting Services, Analysis Services, Integration Services, more tools, Replication, R Services, and much more. So the initial time to run this all depends on your network speed. In those days, what you got was the core SQL Server engine and tools.

Servers 40

Servers Media Engineering Virtualization 40

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. network engineer, at >2%) and management positions (IT manager, at close to 3%; operations manager at >1%). Role of survey respondents.

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

JUNE 1, 2021

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Mobile apps, websites, and business applications are typical use cases for monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

O'Reilly

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Data analysis showed a similar pattern: 70% total; 32% using AI, 38% experimenting with it. Using generative AI tools for tasks related to programming (including data analysis) is nearly universal.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

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