Dynatrace

APRIL 1, 2021

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Apps need to work on the same data sets. Cloud computing environments like AWS, Azure, and GCP offer a wide array of computing capabilities and capacity. Apps need to work on the same data sets.

Azure 173

Azure AWS DevOps Cloud 173

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

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

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 206

Cache Azure Infrastructure Monitoring 206

Dynatrace

MAY 17, 2023

OpenTelemetry , the open source observability tool, has become the go-to standard for instrumenting custom applications to collect observability telemetry data. For this third and final part of our series, we saved the best for last: How you can enhance telemetry data even more and with less effort on your end with Dynatrace OneAgent.

Metrics 173

Metrics Monitoring Database Network 173

Dynatrace

APRIL 10, 2023

And according to recent data from Enterprise Strategy Group, 59% of survey respondents indicated spending on public cloud applications would increase in 2023. Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., “We can analyze the data from those services in context.”

Cloud 173

Cloud Ecommerce Performance Retail 173

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Collecting data requires massive and ongoing configuration efforts.

Cloud 260

Cloud Azure Analytics AWS 260

Dynatrace

FEBRUARY 12, 2024

When organizations cross-validate with observability, security, and synthetic data, evaluation times shrink from days to minutes. With Dynatrace, teams can focus on other data like potential risks or pull data from third parties and get the answers they need—not just the data. Dynatrace® Clouds app.

Engineering 184

Engineering Development Infrastructure Cloud 184

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

Scalegrid

JUNE 6, 2019

June 6, 2019 – ScaleGrid , the Database-as-a-Service (DBaaS) leader in the SQL and NoSQL space, has announced the expansion of their fully managed MySQL Hosting services to support Amazon Web Services (AWS) cloud. PALO ALTO, Calif.,

AWS 191

AWS Cloud Open Source Virtualization 191

SQL Performance

AUGUST 11, 2021

Bucketizing date and time data involves organizing data in groups representing fixed intervals of time for analytical purposes. Often the input is time series data stored in a table where the rows represent measurements taken at regular time intervals. In my examples, I’ll use the sample database TSQLV5.

Azure 139

Azure Code Database Servers 139

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. After that, the various services (e.g.

Design 334

Design Media Storage Logistics 334

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.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices.

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 218

Azure Metrics AWS Monitoring 218

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. You'll see the types referenced as Family in the Azure Portal when sizing a VM. The various types are: General purpose – Balanced CPU-to-memory ratio, small to medium databases. VM Sizing Considerations.

Azure 76

Azure Benchmarking Storage Virtualization 76

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). DL/I segment name for DL/I databases. Resolved minor data inconsistencies between multidimensional analysis and Data explorer involving long-lasting requests. (APM-343328).

Lambda 182

Lambda AWS Metrics Azure 182

Dynatrace

DECEMBER 2, 2021

Symptoms : No data is provided for affected metrics on dashboards, alerts, and custom device pages populated by the affected extension metrics. Settings > Anomaly detection > Database services. New analytics view for message queues. to Python 3.8. Extension logs display errors. Dynatrace API. APM-334030).

Lambda 196

Lambda Azure Metrics Monitoring 196

ScaleOut Software

JANUARY 31, 2020

Real-time digital twins offer a compelling new software model for tracking and analyzing telemetry from large numbers of data sources. These query results are then forwarded to a data lake for offline analytics using tools such as Spark and for data visualization.

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

Real-time digital twins offer a compelling new software model for tracking and analyzing telemetry from large numbers of data sources. These query results are then forwarded to a data lake for offline analytics using tools such as Spark and for data visualization.

Analytics 52

Analytics Social Media Serverless Cloud 52

Scalegrid

OCTOBER 7, 2019

As this open source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. PostgreSQL popularity is skyrocketing in the enterprise space.

Strategy 182

Strategy Cloud Java Open Source 182

Dynatrace

JANUARY 5, 2022

It also lacks automation capabilities due to missing data and therefore doesn’t scale. In white-box testing, we combine open-source load testing tools such as JMeter with Dynatrace’s observability and analytics capabilities. The result overview currently shows data from JMeter split by Use Case by parsing the JLT raw data.

Testing 220

Testing Open Source Metrics Infrastructure 220

Dynatrace

SEPTEMBER 29, 2021

An orchestration platform needs to expose data about its internal states and activities in the form of logs, events, metrics, or transaction traces. Amazon Elastic Kubernetes Service , Microsoft Azure Kubernetes Service , and Google Kubernetes Platform each offer their own managed Kubernetes service. Observability.

Open Source 304

Open Source Traffic DevOps Cloud 304

Dynatrace

NOVEMBER 10, 2022

Lifting and shifting applications from the data center to the cloud delivers only marginal benefits. Containers are portable, self-contained operating environments that include applications and the dependencies they need to run, such as databases, middleware, and frameworks. Microservices. Stateless whenever possible.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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

JUNE 11, 2019

Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Polyglot Persistence Trends : Number of Databases Used & Top Combinations.

Open Source 55

Open Source Database Cloud Infrastructure 55

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

Scalegrid

JANUARY 3, 2020

Monitoring your MySQL database performance in real-time helps you immediately identify problems and other factors that could be causing issues now or in the future. It’s also a good way to determine which components of the database can be enhanced or optimized to increase your efficiency and performance. for i in rules rules.d

Monitoring 164

Monitoring Metrics Servers Database 164

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Cloud-native apps also produce many kinds of data.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

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

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 128

AWS Monitoring Ecommerce Lambda 128

Dynatrace

MAY 28, 2020

Let me walk you through how I have built my Dynatrace Performance Insights Dashboard showing SLIs split by Test Name as well as SLIs for the specific technology and infrastructure: Enriching your load testing scripts with meta data allows building test context specific SLI-dashboards in Dynatrace. Step #3: Tagging of services.

Engineering 193

Engineering Performance Metrics Best Practices 193

Dotcom-Montior

OCTOBER 19, 2021

It also can integrate with cloud-based providers, like Amazon, Google Cloud Platform, Azure, and others. Monitoring & Analytics. Prometheus is used to monitor and collect metrics about your infrastructure and applications and outputs that data in the form of dashboards and visualizations.

Engineering 86

Engineering Open Source Programming Monitoring 86