Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. The choice of self-managed cloud databases vs DBaaS is a common debate among those who are looking for the best option that will cater to their particular needs. You are both captain and crew. These advantages come at an expense.

Database 130

Database Cloud Hardware Storage 130

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

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Amazon S3 and Microsoft Azure Blob Storage leverage distributed storage solutions.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

NOVEMBER 17, 2020

New cloud-native technologies make observability more important than ever…. Dynatrace PurePath 4 extends automatic distributed tracing to OpenTelemetry and the latest cloud-native technologies. FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes. This is where Dynatrace comes into play.

Analytics 157

Analytics Technology Technology Cloud 157

Dynatrace

NOVEMBER 5, 2019

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace.

Azure 138

Azure Artificial Intelligence Metrics Innovation 138

Dynatrace

AUGUST 25, 2023

Kubernetes workload management is easier with a centralized observability platform When deploying applications with Kubernetes, the configuration is flexible and declarative, allowing for scalability. Service ownership details In addition, Dynatrace offers powerful log analytics in the Dynatrace Log Viewer.

Serverless 224

Serverless Analytics AWS Azure 224

Dynatrace

FEBRUARY 16, 2023

The benefits of the cloud are undeniable. With increased scalability, agility, and flexibility, cloud computing enables organizations to improve supply chains, deliver higher customer satisfaction, and more. But the cloud also produces an explosion of data. You have to get automation and analytical capabilities.”

Artificial Intelligence 195

Artificial Intelligence Analytics Cloud Innovation 195

Dynatrace

NOVEMBER 20, 2023

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

AWS 210

AWS Artificial Intelligence Analytics Cloud 210

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. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JANUARY 5, 2022

To do so we have successfully established AI-based White box load and resiliency testing with JMeter and Dynatrace, helping identify and resolve major performance and scalability problems in recent projects before deploying to production. Our customers usually involve us 2-4 weeks before the production release. a Jenkinsfile.

Testing 219

Testing Open Source Metrics Infrastructure 219

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 187

Infrastructure Open Source Operating System Cloud 187

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

Dynatrace

SEPTEMBER 29, 2021

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices.

Open Source 303

Open Source Traffic DevOps Cloud 303

High Scalability

JANUARY 11, 2022

We have chosen this NoSQL based solution over relational databases as it provides the scalability to have hierarchies which go beyond two levels and extensibility due to the schema-less behavior of NoSQL data storage. All the nodes are added to an index called nodeIndex for faster lookups. Sample Queries supported by Graph Database.

Design 334

Design Media Storage Logistics 334

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

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

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 52

Analytics Social Media Serverless Cloud 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 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 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. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

Dynatrace

SEPTEMBER 17, 2019

But every organization I talked with, that is engaged in a k8s project, told me that in order for them to truly leverage k8s as a cloud native platform you need ALL of the following “ Monitoring as a Self-Service Capabilities ” (MaaSS) which aren’t covered by any of the open source or platform offerings: K8s cluster and pod health monitoring.

AWS 127

AWS Monitoring Ecommerce Lambda 127

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

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. Deploying an IMDG in the Cloud. IMDGs Help Scale Applications.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. Deploying an IMDG in the Cloud. IMDGs Help Scale Applications.

Cloud 40

Cloud Azure Virtualization Scalability 40

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

Dynatrace

MAY 17, 2023

The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. And that’s where Dynatrace OneAgent comes in. What is OneAgent?

Metrics 173

Metrics Database Monitoring Network 173

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.

Logistics 52

Logistics Analytics Scalability Cloud 52

The Morning Paper

SEPTEMBER 19, 2019

We hear a lot from Google and Microsoft about their cloud platforms, but not quite so much from the other key industry players. Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time. Autoscaling tiered cloud storage in Anna.

Blockchain 46

Blockchain Hardware Google Analytics 46

High Scalability

FEBRUARY 8, 2019

Know anyone who needs cloud? I wrote Explain the Cloud Like I'm 10 just for them. According to 451 Research’s Voice of the Enterprise: Data & Analytics, 28% of businesses run analytics on their employee behavior data, roughly the same number that analyze IT infrastructure data. Do you like this sort of Stuff?

Internet 188

Internet Internet Scalability Wireless 188

ScaleOut Software

AUGUST 25, 2020

(See a recent blog post which describes how to simplify debugging and testing using a mock environment prior to deployment in the cloud.) It also includes support for real-time aggregate analytics and visualization integrated with the real-time digital twin model to maximize ease of use. They also can be easily modified and updated.

Airlines 52

Airlines Mobile Analytics C++ 52