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.

Cache 205

Cache Azure Infrastructure Monitoring 205

Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., We also couldn’t compromise on performance and availability.” shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure.

Cloud 171

Cloud Ecommerce Performance Retail 171

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. Dynatrace news. Manually maintaining dependencies among components doesn’t scale.

Cloud 260

Cloud Azure Analytics AWS 260

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

Dynatrace

FEBRUARY 12, 2024

The new observability app for databases from Dynatrace was built to cater to all requirements of database administrators (DBAs), from swiftly assessing database availability and performance to delving into architectural intricacies for efficient troubleshooting.

Engineering 182

Engineering Development Infrastructure Cloud 182

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. All rely heavily on utilizing allocated portions from existing pools made available through specific providers as part of their service offerings.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. General Availability (Build 1.239.178).

Azure 216

Azure Metrics AWS Monitoring 216

Dynatrace

JANUARY 20, 2022

Azure supporting services (Synapse Analytics). See Available metrics. New request attributes are now available: DL/I DB/LTERM name. DL/I segment name for DL/I databases. General Availability (Build 1.233.94). General Availability (Build 1.233.94). Masking v1. Masking v2. Improved host settings UI.

Lambda 180

Lambda AWS Metrics Azure 180

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 Image Options.

Azure 76

Azure Benchmarking Storage Virtualization 76

Dynatrace

DECEMBER 2, 2021

These pages are now available to be used in security policies: Settings > Anomaly detection > Applications. Settings > Anomaly detection > Database services. Settings > Maintenance windows > Monitoring, alerting and availability. New analytics view for message queues. Dashboards.

Lambda 193

Lambda Azure Metrics Monitoring 193

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands. Businesses can tailor the global infrastructure available via ScaleGrid to satisfy their unique regional and functional needs.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

MAY 17, 2023

For that, we focused on OpenTelemetry as the underlying technology and showed how you can use the available SDKs and libraries to instrument applications across different languages and platforms. Database monitoring Once more, under Applications & Microservices, we’ll also find Databases. What is OneAgent?

Metrics 171

Metrics Monitoring Database Network 171

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

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

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

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

SEPTEMBER 29, 2021

Initially developed by Google, it’s now available in many distributions and widely supported by all public cloud vendors. Amazon Elastic Kubernetes Service , Microsoft Azure Kubernetes Service , and Google Kubernetes Platform each offer their own managed Kubernetes service.

Open Source 302

Open Source Traffic DevOps Cloud 302

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. Application development platforms live in the cloud and are always available.

Cloud 163

Cloud Architecture Serverless Infrastructure 163

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

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. It’s called the ScaleOut Digital Twin Streaming Service , and it’s now available for production use. Sign up to use the service here.

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. It’s called the ScaleOut Digital Twin Streaming Service , and it’s now available for production use. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52

SQL Performance

AUGUST 11, 2021

Bucketizing date and time data involves organizing data in groups representing fixed intervals of time for analytical purposes. One is using a function called DATE_BUCKET , which at the time of writing is only available in Azure SQL Edge. In my examples, I’ll use the sample database TSQLV5. DATE_BUCKET.

Azure 139

Azure Code Database Servers 139

ScaleOut Software

JUNE 22, 2020

It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. When focusing on the LanguageController service we learn that it’s currently deployed in three pods across three EKS nodes across two AWS Availability Zones (AZ). Full-stack observability. End-to-end code-level tracing. Service mash insights. End-user monitoring. 1 User Experience Optimization.

AWS 128

AWS Monitoring Ecommerce Lambda 128

Dynatrace

JUNE 1, 2021

Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. User experience and business analytics. APM’s many forms.

Monitoring 149

Monitoring Mobile Social Media Artificial Intelligence 149

Dotcom-Montior

OCTOBER 19, 2021

It also can integrate with cloud-based providers, like Amazon, Google Cloud Platform, Azure, and others. Monitoring & Analytics. Lastly, a site reliability engineer needs the ability to monitor their applications and complete IT stack to ensure continuous functionality, performance, and availability.

Engineering 86

Engineering Open Source Programming Monitoring 86

The Morning Paper

SEPTEMBER 19, 2019

MongoDB is an important database, and this paper explains the tunable (per-operation) consistency models that MongoDB provides and how they are implemented under the covers. Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time.

Blockchain 46

Blockchain Hardware Google Analytics 46

SQL Server According to Bob

OCTOBER 26, 2017

With the 2017 PASS Summit approaching next week, I thought it would be helpful to provide for you my list of resources when it comes to SQL Server 2017, which we announced for General Availability on October 2nd. In-database Machine Learning in SQL Server 2017. SQL Server 2017 on Windows Linux and Docker is now generally available.

Servers 40

Servers Azure Open Source Database 40

Dotcom-Montior

FEBRUARY 19, 2022

It also can integrate with cloud-based providers, like Amazon, Google Cloud Platform, Azure, and others. Monitoring & Analytics. Lastly, a site reliability engineer needs the ability to monitor their applications and complete IT stack to ensure continuous functionality, performance, and availability.

Engineering 52

Engineering Open Source Programming Monitoring 52

Dynatrace

MAY 28, 2020

If you have a distributed environment with multiple servers hosting your webservers, app servers, and database, I suggest you install the OneAgent on all these servers to get full end-to-end visibility. Kubernetes, OpenShift, Cloud Foundry or Azure Web Apps then install the OneAgent by following the OneAgent PaaS installation options.

Engineering 192

Engineering Performance Metrics Best Practices 192

High Scalability

NOVEMBER 25, 2019

Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced. Level of concurrent reads. Level of concurrent writes. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52

ScaleOut Software

APRIL 3, 2020

The real-time digital twin software tracks and updates this information using incoming messages whenever significant events affecting the ventilator occur, such as when it moves from place to place, is put in use, becomes available, encounters a mechanical issue, has an expected repair time, etc.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

The real-time digital twin software tracks and updates this information using incoming messages whenever significant events affecting the ventilator occur, such as when it moves from place to place, is put in use, becomes available, encounters a mechanical issue, has an expected repair time, etc.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

AUGUST 25, 2020

Until a COVID-19 vaccine is widely available, getting back to work means keeping a close watch for outbreaks and quickly containing them when they occur. Using information from the company’s organizational database, it populates each twin with the employee’s ID, team ID, department type, and location.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

AUGUST 25, 2020

Until a COVID-19 vaccine is widely available, getting back to work means keeping a close watch for outbreaks and quickly containing them when they occur. Using information from the company’s organizational database, it populates each twin with the employee’s ID, team ID, department type, and location.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

AUGUST 19, 2014

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. ScaleOut StateServer uses different techniques on EC2 and Azure to make use of available metadata support. The Need to Keep It Simple.

Cloud 40

Cloud Azure Virtualization Scalability 40