Scalegrid

MAY 13, 2020

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

APRIL 19, 2023

Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.

Design 191

Design Storage Programming Analytics 191

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 209

Analytics Monitoring Artificial Intelligence DevOps 209

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

AUGUST 28, 2020

This is the second part of our blog series announcing the massive expansion of our Azure services support. Part 1 of this blog series looks at some of the key benefits of Azure DB for PostgreSQL, Azure SQL Managed Instance, and Azure HDInsight. Fully automated observability into your Azure multi-cloud environment.

Azure 155

Azure Cloud Tuning Monitoring 155

Dynatrace

NOVEMBER 5, 2019

Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Do I need more than Azure Monitor? Azure Monitor features. A typical Azure Monitor deployment, and the views associated with each business goal. Available as an agent installer). How does Dynatrace fit in?

Azure 137

Azure Artificial Intelligence Metrics Innovation 137

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. Generative AI brings data quality risks But generative AI also brings risks in terms of data quality. What is predictive AI?

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. Data Models. Graph Data Models.

Design 334

Design Media Storage Logistics 334

Dynatrace

AUGUST 21, 2023

OpenTelemetry provides a standard way to instrument and collect telemetry data so you can get normalized data from different monitoring solutions. This uniform approach to collecting data helps you make sense of these different viewpoints so you can tell just what happened and what to do about it.

Open Source 196

Open Source Analytics Lambda Metrics 196

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.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

SQL Performance

NOVEMBER 18, 2019

Migrating an on-premises SQL Server instance to an Azure Virtual Machine (VM) is a common method to migrate to Azure. IT professionals are familiar with scoping the size of VMs with regards to vCPU, memory, and storage capacity. You'll see the types referenced as Family in the Azure Portal when sizing a VM. Generation.

Azure 76

Azure Benchmarking Storage Virtualization 76

Scalegrid

MARCH 14, 2024

Implementing a hybrid cloud solution involves careful decision-making regarding application and data placement, migration strategies, and choosing compatible cloud service providers while ensuring seamless integration and addressing security and compliance challenges. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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

APRIL 21, 2022

end-of-support for RUM data. for Dynatrace SaaS RUM data. end-of-support for RUM data. Log data acquisition. Log data analysis. Log data alerting. Configuration API for AWS and Azure supporting services. See SQL data source. See what’s new in the Dynatrace version 1.239. Announcements.

Azure 216

Azure Metrics AWS Monitoring 216

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Logs represent event data in plain-text, structured or binary format. Further reading about Business Analytics : . Conclusion.

Analytics 240

Analytics Infrastructure AWS Operating System 240

Dynatrace

MARCH 24, 2023

Problems include provisioning and deployment; load balancing; securing interactions between containers; configuration and allocation of resources such as networking and storage; and deprovisioning containers that are no longer needed. How does container orchestration work? The post What is container orchestration?

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 246

AWS Efficiency Azure Cloud 246

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

JANUARY 20, 2022

end-of-support for RUM data. for Dynatrace SaaS RUM data. end-of-support for RUM data. Azure supporting services (Synapse Analytics). RUM linking timeouts adjusted in transaction storage. (APM-341299). Dynatrace SaaS release notes version 1.233. Announcements. For more details, see TLS 1.0 Masking v1.

Lambda 180

Lambda AWS Metrics Azure 180

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights , includin g: . Logs represent event data in plain-text, structured or binary format . This type of data can be extended by adding additional meta-information, like real user experience data and topology details. .

Analytics 135

Analytics Infrastructure AWS Operating System 135

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.

Logistics 52

Logistics Retail Analytics Azure 52

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. Some vendors have just bolted on individual capabilities which often leads to six data silos. PostgreSQL & Elastic for data storage. MaaSS for Business: Data per SaaS-Tenant. The Business teams therefore built a set of dashboards that contain the data they want to see.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Scalegrid

OCTOBER 7, 2019

This leaves our last cloud provider – Microsoft Azure, who represented 3.2% This is one of the most shocking discoveries, as Azure was tied for second with GCP back in April, and is commonly a popular choice for enterprise organizations leveraging the Microsoft suite of services. of PostgreSQL hosting. We found that 54.3%

Strategy 182

Strategy Cloud Java Open Source 182

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. These questions can be answered using the latest data as it streams in from the field.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. These questions can be answered using the latest data as it streams in from the field.

Logistics 52

Logistics Analytics Scalability Cloud 52

SQL Server According to Bob

DECEMBER 18, 2018

SQL Server relies on Forced-Unit-Access (Fua) I/O subsystem capabilities to provide data durability, detailed in the following documents: SQL Server 2000 I/O Basic and SQL Server I/O Basics, Chapter 2. Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. The Back Story. 4 Socket, TPCC.

Servers 90

Servers Media Cache Storage 90

The Morning Paper

SEPTEMBER 19, 2019

Their dataset has about 7B edges… Meanwhile, AnalyticDB is Alibaba’s real-time OLAP RDBMS handling 10PB of data (in excess of 100 trillion rows!). Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time. Research papers. (In

Blockchain 46

Blockchain Hardware Google Analytics 46

ScaleOut Software

AUGUST 19, 2014

In-memory data grids (IMDGs) add tremendous value to this scenario by providing a sharable, in-memory repository for an application’s fast-changing state information, such as shopping carts, financial transactions, pending orders, geolocation information, machine state, etc. IMDGs Help Scale Applications.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

In-memory data grids (IMDGs) add tremendous value to this scenario by providing a sharable, in-memory repository for an application’s fast-changing state information, such as shopping carts, financial transactions, pending orders, geolocation information, machine state, etc. IMDGs Help Scale Applications.

Cloud 40

Cloud Azure Virtualization Scalability 40

O'Reilly

MAY 19, 2020

A lot happened between January and the first week of March, when we got around to analyzing our survey data. 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. All told, we received 1,283 responses.

Cloud 141

Cloud Serverless AWS Architecture 141

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Using raw content data (such as Markdown, YAML, JSON files) and templates an SSG engine (such as Jekyll, Hugo, Gatsby, etc.) A headless CMS using GraphQL.

Systems 63

Systems Cache Website Network 63

High Scalability

NOVEMBER 25, 2019

There are a couple of downsides though in case you are looking to use it to support tens of thousands of users working on hundreds of millions of files simultaneously containing petabytes of data. To help our customers manage ongoing data explosion, we have designed many of the core components over the last few years. Recommendations.

Architecture 52

Architecture Cache Azure Storage 52