Scalegrid

FEBRUARY 8, 2024

Their design emphasizes increasing availability by spreading out files among different nodes or servers — this approach significantly reduces risks associated with losing or corrupting data due to node failure. Amazon S3 and Microsoft Azure Blob Storage leverage distributed storage solutions.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. Greenplum Architectural Design. Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 4, 2022

The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. Data lakehouses take advantage of low-cost object stores like AWS S3 or Microsoft Azure Blob Storage to store and manage data cost-effectively. Support diverse analytics workloads.

Artificial Intelligence 218

Artificial Intelligence Storage Analytics Government 218

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Another example would be a business unit admin who needs to have access to departmental data across buckets.

Artificial Intelligence 268

Artificial Intelligence Analytics Metrics Storage 268

Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Rural lifestyle retail giant Tractor Supply Co. ” Three years ago, Tractor Supply Co.

Cloud 179

Cloud Ecommerce Performance Retail 179

Dynatrace

NOVEMBER 20, 2023

How this data-driven technique gives foresight to IT teams – blog By analyzing patterns and trends, predictive analytics enables teams to take proactive actions to prevent problems or capitalize on opportunities. What is predictive AI? What is AIOps?

AWS 217

AWS Artificial Intelligence Analytics Cloud 217

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications.

Cache 212

Cache Azure Infrastructure Monitoring 212

Dynatrace

APRIL 21, 2022

These limits are designed to prevent ActiveGate startup process slowdown and excessive node resource usage. Configuration API for AWS and Azure supporting services. The dynakube.yaml file now comes with default ActiveGate resource limits: 500m CPU requests. 1000m CPU limits. 512Mi memory requests. 1.5Gi memory limits.

Azure 224

Azure Metrics AWS Monitoring 224

Dynatrace

AUGUST 24, 2020

Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. Further reading about Business Analytics : . Digital Business Analytics. Digital Business Analytics: Let’s get started. Conclusion.

Analytics 249

Analytics Infrastructure AWS Operating System 249

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 256

AWS Efficiency Azure Cloud 256

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus. Gandalf system design. NSDI’20. From signals to decisions.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

Dynatrace

JUNE 15, 2021

Besides real user analytics, we also use Dynatrace Synthetic Monitoring , which continuously validates successful logins to our SaaS tenants on each cluster. Those tests get executed from two locations (Paris and London) hosted by different cloud vendors (Azure & AWS). Fact #3: Minimum impact detected through synthetics.

AWS 198

AWS Traffic Architecture Azure 198

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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

Dynatrace

AUGUST 24, 2020

Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. . Further reading about Business Analytics : . Digital Business Analytics. Digital Business Analytics: Let’s get started. Conclusion.

Analytics 136

Analytics Infrastructure AWS Operating System 136

Scalegrid

JANUARY 12, 2024

High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it. This makes it ideal not only for regular scalability but also for advanced analytics with intricate workload management capabilities.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

OCTOBER 1, 2021

When an observability solution also analyzes user experience data using synthetic and real-user monitoring, you can discover problems before your users do and design better user experiences based on real, immediate feedback. The architects and developers who create the software must design it to be observed. Benefits of observability.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. The principles of cloud-native architecture. What are cloud-native services?

Cloud 162

Cloud Architecture Serverless Infrastructure 162

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source. What Are Real-Time Digital Twins?

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source. What Are Real-Time Digital Twins?

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

Dynatrace

MAY 20, 2020

Besides all the metrics that originate from your hosts, Dynatrace also collects all the important key performance metrics for services and real-user monitored applications as well as cloud platform metrics from AWS, Azure, and Cloud Foundry.

Metrics 234

Metrics Operating System Tuning Monitoring 234

Dotcom-Montior

OCTOBER 19, 2021

The key difference between Nomad and Kubernetes is that Nomad is designed for the Unix operations system. On the other hand, Kubernetes is designed for Linux container-based applications. It also can integrate with cloud-based providers, like Amazon, Google Cloud Platform, Azure, and others. Monitoring & Analytics.

Engineering 86

Engineering Open Source Programming Monitoring 86

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. Designing a survey inevitably entails making a spate of methodological trade-offs. More than half of respondents use multiple cloud services. •

Cloud 141

Cloud Serverless AWS Architecture 141

SQL Server According to Bob

FEBRUARY 15, 2018

Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. SELECT * FROM Azure Cosmos DB – Andrew Liu. Saturday Sessions.

Engineering 40

Engineering Azure Best Practices Servers 40

Dynatrace

JUNE 1, 2021

By default or by design, different teams may deploy a combination of point solutions — specialized monitoring tools that capture the individual components of their application environment. User experience and business analytics. Organizations can take one of two approaches when picking APM tools. Advanced cloud observability.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dotcom-Montior

FEBRUARY 19, 2022

The key difference between Nomad and Kubernetes is that Nomad is designed for the Unix operations system. On the other hand, Kubernetes is designed for Linux container-based applications. It also can integrate with cloud-based providers, like Amazon, Google Cloud Platform, Azure, and others. Monitoring & Analytics.

Engineering 52

Engineering Open Source Programming Monitoring 52

Smashing Magazine

JUNE 1, 2022

You’ve spent months putting together a great website design, crowd-pleasing content, and a business plan to bring it all together. You’ve focused on making the web design responsive to ensure that the widest audience of visitors can access your content. You’ve agonized over design patterns and usability. Ken Harker.

Website 131

Website Design Network Best Practices 131

The Morning Paper

SEPTEMBER 19, 2019

Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time. Hyper Dimension Shuffle describes how Microsoft improved the cost of data shuffling, one of the most costly operations, in their petabyte-scale internal big data analytics platform, SCOPE.

Blockchain 46

Blockchain Hardware Google Analytics 46

High Scalability

NOVEMBER 25, 2019

To help our customers manage ongoing data explosion, we have designed many of the core components over the last few years. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Data interdependence. Level of concurrent reads. Level of concurrent writes. Egnyte Connect Tech Stack.

Architecture 52

Architecture Cache Azure Storage 52

ScaleOut Software

AUGUST 19, 2014

They also offer a powerful computing platform for analyzing live data as it changes and generating immediate feedback or “operational intelligence;” for example, see this blog post describing the use of real-time analytics in a retail application. The Need to Keep It Simple.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

They also offer a powerful computing platform for analyzing live data as it changes and generating immediate feedback or “operational intelligence;” for example, see this blog post describing the use of real-time analytics in a retail application. The Need to Keep It Simple.

Cloud 40

Cloud Azure Virtualization Scalability 40

O'Reilly

NOVEMBER 28, 2023

Such policies would be designed to mitigate legal problems and require regulatory compliance. The applications of generative AI with the fewest users were web design (42% total; 28% experimenting, 14% using) and art (36% total; 25% experimenting, 11% using). Another piece of the same puzzle is the lack of a policy for AI use.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

Tasktop

JUNE 20, 2019

That ‘ideate’ phase includes planning, creating business cases, and UX design to name but a few key activities– very creative and technical work that plays a crucial role in meeting end user needs. Clever Value Stream Architecture designs for speed, visibility and traceability and it relies on APIs and abstraction. Its toolchain.

Development 45

Development DevOps Google Innovation 45

ScaleOut Software

AUGUST 25, 2020

It also includes support for real-time aggregate analytics and visualization integrated with the real-time digital twin model to maximize ease of use. Cobbling together these diverse technologies would require several skill sets, lengthy development time, and higher operational costs. Summing Up.

Airlines 52

Airlines Mobile Analytics C++ 52