Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. 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. Greenplum Architectural Design. Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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. This process effectively duplicates essential parts of information to safeguard against potential loss.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

OCTOBER 4, 2022

However, organizations must structure and store data inputs in a specific format to enable extract, transform, and load processes, and efficiently query this data. The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. Query language.

Artificial Intelligence 197

Artificial Intelligence Storage Analytics Government 197

Dynatrace

NOVEMBER 20, 2023

Effectively automating IT processes is key to addressing the challenges of  complex cloud environments. Relying on manual processes results in outages, increased costs, and frustrated customers. These three types of AI used together enable more effective IT automation than a single form of AI on its own. What is AIOps?

AWS 200

AWS Artificial Intelligence Analytics Cloud 200

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. “At one point, we saw a process that was causing a lot of CPU contention.

Cloud 163

Cloud Ecommerce Performance Retail 163

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. RAG augments user prompts with relevant data retrieved from outside the LLM.

Cache 196

Cache Azure Infrastructure Monitoring 196

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 252

Artificial Intelligence Analytics Metrics Storage 252

Dynatrace

APRIL 21, 2022

If you still use the legacy version of Log Monitoring ( Log Monitoring v1 ), the Log Monitoring v1 documentation is still available, but we strongly encourage you to switch to the latest Dynatrace Log Monitoring version and gain direct access to the log content of all your mission-critical processes. Kubernetes/OpenShift workload/pod details.

Azure 205

Azure Metrics AWS Monitoring 205

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 236

AWS Efficiency Azure Cloud 236

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. Digital Business Analytics.

Analytics 231

Analytics Infrastructure AWS Operating System 231

Scalegrid

MARCH 14, 2024

Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. A pivotal element of any hybrid cloud strategy is adhering to regulatory requirements and compliance standards specific to an industry.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

JANUARY 12, 2024

In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. 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.

Cloud 130

Cloud Virtualization Storage Efficiency 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. This simplifies the installation process and ensures portability across operating systems.

IoT 52

IoT Azure Analytics Healthcare 52

Dynatrace

JUNE 15, 2021

The final status update was at 6:54PM PDT with a very detailed description of the temperature rise that caused the shutdown initially, followed by the fire suppression system dispersing some chemicals which prolonged the full recovery process. Fact #2: No significant impact on Dynatrace Users. Let me start with the end-user impact.

AWS 179

AWS Traffic Architecture Azure 179

Dynatrace

OCTOBER 1, 2021

As more organizations adopt cloud-native architectures, they are also looking for ways to implement AIOps, harnessing AI as a way to automate more processes throughout the DevSecOps life cycle. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

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.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

AUGUST 24, 2020

But there are other related components and processes ( for example, cloud provider infrastructure ) that can cause problems in applications running on Kubernetes. Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. . Conclusion.

Analytics 134

Analytics Infrastructure AWS Operating System 134

ScaleOut Software

AUGUST 20, 2020

Simplifying the Development Process with Mock Environments. 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. Real-time digital twins are designed to be easy to develop and modify.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

Simplifying the Development Process with Mock Environments. 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. Real-time digital twins are designed to be easy to develop and modify.

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

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. In the past, this process would have taken an entire team of individuals. Monitoring & Analytics.

Engineering 86

Engineering Open Source Programming Monitoring 86

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. User experience and business analytics. What does APM stand for?

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

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.

Engineering 40

Engineering Azure Best Practices Servers 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. 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

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 133

Website Design Network Best Practices 133

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. It handles an order of magnitude more throughput than a prototype built on a stream processing engine. Could it be Analyzing efficient stream processing on modern hardware ?

Blockchain 46

Blockchain Hardware Google Analytics 46

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. In the past, this process would have taken an entire team of individuals. Monitoring & Analytics.

Engineering 52

Engineering Open Source Programming Monitoring 52

High Scalability

NOVEMBER 25, 2019

Your Laptop has a filesystem used by hundreds of processes. It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. On prem data processing. Document store. Video Transcoding. Permissions. Recommendations. Hybrid Sync.

Architecture 52

Architecture Cache Azure Storage 52

ScaleOut Software

AUGUST 25, 2020

As illustrated in the first diagram, each real-time digital twin hosts two components, state data and a message-processing method. The message-processing method’s code is shared by all twins. (Note that the outbound notifications from the twins to the employees’ mobile devices are not shown here.). Summing Up.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

AUGUST 25, 2020

As illustrated in the first diagram, each real-time digital twin hosts two components, state data and a message-processing method. The message-processing method’s code is shared by all twins. (Note that the outbound notifications from the twins to the employees’ mobile devices are not shown here.). Summing Up.

Airlines 52

Airlines Mobile Analytics C++ 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. This process works well on premise because IP addresses typically are well known and static.

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. This process works well on premise because IP addresses typically are well known and static.

Cloud 40

Cloud Azure Virtualization Scalability 40

Tasktop

JUNE 20, 2019

And why, in lieu of a single tool or process, organizations need to identify and eliminate long cycles and wait times within development itself, and beyond. The complex product work to deliver software spans a heterogeneous toolchain, which encompasses planning, requirements management, design, development, testing, support, and operations.

Development 45

Development DevOps Google Innovation 45

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. Alternatively, you can upload output directory to cloud object/blob storage such as Amazon S3 or Azure Blob Storage and serve your site from there.

Systems 63

Systems Cache Website Network 63

Scalegrid

JUNE 11, 2019

Open source databases are free community databases with the source code available to the general public to use, and may be modified or used in their original design. This report also represents the commercial database users who are also in the process of migrating to an open source database. with a surprising lead over Azure at 10.8%.

Open Source 55

Open Source Database Cloud Infrastructure 55