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

NOVEMBER 20, 2023

Causal AI is an artificial intelligence technique used to determine the precise underlying causes and effects of events. Using 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.

AWS 203

AWS Artificial Intelligence Analytics Cloud 203

Dynatrace

APRIL 21, 2022

Proper linking of pod events to the pod (previously, short-lived pods would sometimes not be recognized, so the Kubernetes event would be linked to the related namespace entity instead). Configuration API for AWS and Azure supporting services. Improved error handling for unexpected storage issues. (APM-360014).

Azure 209

Azure Metrics AWS Monitoring 209

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 240

AWS Efficiency Azure Cloud 240

Dynatrace

AUGUST 24, 2020

Logs represent event data in plain-text, structured or binary format. 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. Dynatrace Kubernetes documentation .

Analytics 234

Analytics Infrastructure AWS Operating System 234

Dynatrace

AUGUST 21, 2023

Different monitoring point solutions, such as Jaeger, Zipkin, Logstash, Fluentd, and StatsD, each have their own way of observing and recording such an event. Challenges of adopting OpenTelemetry The first challenge is that OpenTelemetry only gathers and processes data—it has no back end, no storage, and no analytics.

Open Source 189

Open Source Analytics Lambda Metrics 189

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 179

Infrastructure Open Source Operating System Cloud 179

Dynatrace

AUGUST 24, 2020

Logs represent event data in plain-text, structured or binary format . 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. Kubernetes integration.

Analytics 134

Analytics Infrastructure AWS Operating System 134

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

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

Scalegrid

OCTOBER 7, 2019

We recently attended the PostgresConf event in San Jose to hear from the most active PostgreSQL user base on their database management strategies. This leaves our last cloud provider – Microsoft Azure, who represented 3.2% AWS was not the only cloud provider to grow – we found that 19.4% of PostgreSQL hosting.

Strategy 182

Strategy Cloud Java Open Source 182

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. PostgreSQL & Elastic for data storage. In the event that there’s a problem, Dynatrace will automatically highlight the hotspot and root cause in the different Dynatrace views. 3 Log Analytics. Full-stack observability. End-to-end code-level tracing. Service mash insights.

AWS 127

AWS Monitoring Ecommerce Lambda 127

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. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

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. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

SQL Server According to Bob

DECEMBER 18, 2018

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Patrick and Purvi doing performance and regression analytics. Neal, Matt, and others from Windows Storage, Windows Azure Storage, Windows Hyper-V, … validating Windows behaviors. · Description.

Servers 90

Servers Media Cache Storage 90

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. Autoscaling tiered cloud storage in Anna. Microsoft have been able to guarantee consistent 3 minute recovery times for 99.999% of recovery cases in production. Research papers. (In

Blockchain 46

Blockchain Hardware Google Analytics 46

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. However, close to half (~48%) use Microsoft Azure, and close to one-third (~32%) use Google Cloud Platform (GCP). Conclusion.

Cloud 141

Cloud Serverless AWS Architecture 141

High Scalability

NOVEMBER 25, 2019

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. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52