Dynatrace

JUNE 14, 2024

Dynatrace, operated from Tokyo, addresses the data residency needs of the Japanese market Dynatrace operates its AI-powered unified platform for observability, security, and business analytics as a SaaS solution in 19 worldwide regions on three hyperscalers (AWS, Azure, and GCP). Data residency in Japan is a must.

AWS 278

AWS Government Azure Healthcare 278

Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. Have a look at the full range of supported technologies. 3 End-to-end distributed trace including Azure Functions.

Serverless 246

Serverless Azure Lambda AWS 246

Dynatrace

NOVEMBER 3, 2022

CaaS automates the processes of hosting, deploying, and managing container technologies. Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization. IaaS provides direct access to compute resources such as servers, storage, and networks. CaaS vs. IaaS.

Serverless 297

Serverless Azure Hardware Transportation 297

High Scalability

JANUARY 11, 2022

Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity. Fetching User Feed. Sample Queries supported by Graph Database. Optimization.

Design 334

Design Media Storage Logistics 334

Dynatrace

JANUARY 16, 2023

While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js

Open Source 358

Open Source Java Operating System Programming 358

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Unlike data warehouses, however, data is not transformed before landing in storage. A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Data management.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

JANUARY 31, 2024

Organizations need to ensure their solutions meet security and privacy requirements through certified high-performance filtering, masking, routing, and encryption technologies while remaining easy to configure and operate. Such transformations can reduce storage costs by 99%.

Analytics 272

Analytics Processing Transportation Storage 272

Dynatrace

OCTOBER 2, 2024

With Dynatrace, there is no need to think about schema and indexes, re-hydration, or hot/cold storage concepts. This architecture also means you’re not required to determine your log data use cases beforehand or while analyzing logs within the new Logs app.

Azure 244

Azure DevOps Infrastructure Cloud 244

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. Dynatrace provides two technologies for Digital Experience Monitoring (DEM): Synthetic Monitoring and Real User Monitoring (RUM). Monitor your whole infrastructure using synthetic monitors .

Analytics 305

Analytics Infrastructure AWS Operating System 305

Dynatrace

MARCH 24, 2023

Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services. Because containers are ephemeral, managing them can become problematic, and even more problematic as the numbers of containers proliferate. How does container orchestration work?

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Avoid lock-in with open-source technologies. What is Google Cloud Functions?

Google 246

Google Cloud Serverless Azure 246

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 264

Analytics Monitoring Artificial Intelligence DevOps 264

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? Workflows are powered by a core platform technology of Dynatrace called the AutomationEngine.  Beyond efficiency, validating performance thresholds is also crucial for revenues.

AWS 305

AWS Efficiency Azure Cloud 305

Dynatrace

APRIL 19, 2023

Modern observability technologies have helped enterprises identify software vulnerabilities such as Log4Shell in their environments. ” This data is excluded from storage, but teams can still gain value from data enrichment beforehand. Data is segmented and separated based on storage buckets. Encryption.

Design 246

Design Storage Programming Analytics 246

Dynatrace

OCTOBER 2, 2024

DevOps teams operating, maintaining, and troubleshooting Azure, AWS, GCP, or other cloud environments are provided with an app focused on their daily routines and tasks. There is no need to think about schema and indexes, re-hydration, or hot/cold storage.

Analytics 304

Analytics AWS DevOps Cloud 304

Dynatrace

NOVEMBER 20, 2023

While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. It’s being recognized around the world as a transformative technology for delivering productivity gains. What is artificial intelligence?

AWS 277

AWS Artificial Intelligence Cloud Analytics 277

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. . Dynatrace provides two technologies for Digital Experience Monitoring (DEM): Synthetic Monitoring and Real User Monitoring (RUM). Further reading about infrastructure monitoring: .

Analytics 195

Analytics Infrastructure AWS Operating System 195

SQL Performance

APRIL 27, 2020

Azure SQL Database is Microsoft's database-as-a-service offering that provides a tremendous amount of flexibility. Microsoft is continually working on improving their products and Azure SQL Database is no different. Microsoft is continually working on improving their products and Azure SQL Database is no different. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

Dynatrace

SEPTEMBER 17, 2019

Their technology stack looks like this: Spring Boot-based Microservices. PostgreSQL & Elastic for data storage. Dynatrace’s PurePath technology brings us automatic end-to-end code level tracing without having to modify any code or configuration. NGINX as an API Gateway. REDIS for caching. 2 Validate Configuration.

AWS 170

AWS Monitoring Ecommerce Lambda 170

Dynatrace

NOVEMBER 29, 2021

Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. is built on the most popular Linux container technology, Docker. OpenShift key features and benefits. OpenShift 3.0

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

Scalegrid

JANUARY 8, 2024

Technology Enabling Multi-Cloud and Hybrid Cloud The functioning of various hybrid cloud deployment models is supported by a range of technologies. Technology Enabling Multi-Cloud and Hybrid Cloud The functioning of various hybrid cloud deployment models is supported by a range of technologies.

Cloud 147

Cloud Strategy Scalability Artificial Intelligence 147

High Scalability

JUNE 22, 2018

using them to respond to storage events on s3 or database events or auth events is super easy and powerful. lossless analog image-compression technology.". Eitally : there are a few critical differences between GCP and AWS or Azure. Charlie Demerjian : what does Intel have planned for their server roadmap?

Internet 113

Internet Internet Scalability Artificial Intelligence 113

Smashing Magazine

NOVEMBER 15, 2021

Hyper is an Electron-based terminal app for Mac, Windows, or Linux that’s built with web technologies (HTML/CSS/JS). Storage is in plain text, includes Git-based versioning, wiki-style linking, color themes, and lots more. Large preview ). Includes dozens of themes and plugins and is built on speed and stability. Large preview ).

Development 141

Development Google Open Source Storage 141

Scalegrid

JANUARY 8, 2024

Discover how AI is reshaping the cloud and what this means for the future of technology. Infrastructure Excellence ScaleGrid’s infrastructure is designed to facilitate hosting in your cloud account and provides cost-saving options with AWS or Azure Reserved Instances or GCP.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

O'Reilly

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. All told, we received 1,283 responses. 10,000 or more employees.

Cloud 144

Cloud Serverless AWS DevOps 144

Scalegrid

JANUARY 12, 2024

These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices. Storage is a critical aspect to consider when working with cloud workloads. Storage is a critical aspect to consider when working with cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

DECEMBER 6, 2023

Despite those minor challenges posed by this platform, many individuals are turning towards considering using the DBaaS Model partly because they understand considerable advantages lie underneath implementing & utilizing such technology within their systems. Make sure to read our extensive article on DBaaS Pros and Cons !

Database 130

Database Cloud Hardware Storage 130

KeyCDN

FEBRUARY 22, 2023

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Particular Software

OCTOBER 26, 2020

With the recent preview release of NServiceBus.Persistence.CosmosDB , you can now use Azure Cosmos DB with NServiceBus! If you are already using Cosmos DB to store your business data, you no longer need to use a different storage technology to store your NServiceBus saga data.

Azure 52

Azure Storage Benchmarking Latency 52

Scalegrid

MARCH 14, 2024

Integrating technology from private and public clouds and on-premises resources within one hybrid cloud platform creates an integrated IT infrastructure that leverages the strengths of each component. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Brendan Gregg

FEBRUARY 28, 2023

It's an important vendor-neutral space to share the latest in technology. USENIX has been a great help to my career and my employers, and I hope it is just as helpful for you. And now, helping bring USENIX conferences to Australia by giving the first keynote: I could not have scripted or expected it.

Performance 103

Performance Latency Cache Virtualization 103

O'Reilly

NOVEMBER 12, 2019

When we asked if respondents’ organizations had adopted serverless (defining “adopted” as entering into a contract with a vendor to provide serverless resources), we expected a low take rate for this relatively new and developing technology. Interestingly, a higher-than-expected 40% of respondents said they had adopted serverless.

Serverless 94

Serverless Architecture FinTech Infrastructure 94

ScaleOut Software

JANUARY 9, 2020

In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

In addition, the platform provides fast, in-memory data storage so that the application easily can keep track of both telemetry and analytics results for each store. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The technology that can do this is called in-memory computing. The heavy lifting is deferred to the back office.

IoT 78

IoT Big Data Analytics Architecture 78