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.

Monitoring 164

Monitoring Metrics Servers Database 164

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. The management console installs as a set of Docker containers on the management server.

IoT 52

IoT Azure Analytics Healthcare 52

SQL Server According to Bob

OCTOBER 26, 2017

Please check out these new resources for SQL Server 2017 and SQL Server on Linux and Docker: Brk2045 upgrade sql server 2017 (on prem, iaa-s and paas) from Bob Ward. Brk2051 sql server on linux and docker from Bob Ward. SQL Server 2017 Release Notes. SQL Server on Linux Release Notes. SQL Server on Linux.

Servers 40

Servers Azure Open Source Database 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

SQL Server According to Bob

FEBRUARY 15, 2018

Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. SELECT * FROM Azure Cosmos DB – Andrew Liu.

Engineering 40

Engineering Azure Best Practices Servers 40

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. Emulating DATE_BUCKET.

Azure 139

Azure Code Database Servers 139

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. 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

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. 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

APRIL 5, 2021

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure 137

Azure Serverless IoT Lambda 137

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.

Database 130

Database Cloud Hardware Storage 130

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. These storage nodes collaborate to manage and disseminate the data across numerous servers spanning multiple data centers.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. If you’re an IT or cloud administrator, make sure to check out Dynatrace’s capabilities on monitoring k8s clusters , AWS , VMWare , OpenStack , Azure , Google GCP , OpenShift , CloudFoundry. 3 Log Analytics. Full-stack observability. End-to-end code-level tracing. Service mash insights.

AWS 127

AWS Monitoring Ecommerce Lambda 127

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

Dynatrace

APRIL 1, 2021

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Cloud computing environments like AWS, Azure, and GCP offer a wide array of computing capabilities and capacity. Without the overhead of establishing and maintaining on-premises servers, these systems save resources.

Azure 172

Azure AWS DevOps Cloud 172

SQL Server According to Bob

DECEMBER 18, 2018

SQL Server relies on Forced-Unit-Access (Fua) I/O subsystem capabilities to provide data durability, detailed in the following documents: SQL Server 2000 I/O Basic and SQL Server I/O Basics, Chapter 2. Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. The Back Story.

Servers 90

Servers Media Cache Storage 90

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. Let’s click “Apache Web Server apache” now. And that’s where Dynatrace OneAgent comes in.

Metrics 171

Metrics Monitoring Database Network 171

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

Configuration API for AWS and Azure supporting services. You can now get a list of all AWS and Azure supporting services on your cluster, by current version, using the AWS credentials API and Azure credentials API respectively. For details about IAM permissions, see Manage permissions and configuration. see Settings API.

Azure 216

Azure Metrics AWS Monitoring 216

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. of PostgreSQL hosting. We found that 54.3%

Strategy 182

Strategy Cloud Java Open Source 182

Dynatrace

SEPTEMBER 29, 2021

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. Running containers : Docker Engine is a container runtime that runs in almost any environment: Mac and Windows PCs, Linux and Windows servers, the cloud, and on edge devices.

Open Source 302

Open Source Traffic DevOps Cloud 302

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

Dotcom-Montior

OCTOBER 19, 2021

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., Ruby is an open-source server-side programming language, like the Python or PERL languages. It also can integrate with cloud-based providers, like Amazon, Google Cloud Platform, Azure, and others.

Engineering 86

Engineering Open Source Programming Monitoring 86

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. This will enable deep monitoring of those Java,NET, Node, processes as well as your web servers.

Engineering 192

Engineering Performance Metrics Best Practices 192

Dotcom-Montior

FEBRUARY 19, 2022

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., Ruby is an open-source server-side programming language, like the Python or PERL languages. It also can integrate with cloud-based providers, like Amazon, Google Cloud Platform, Azure, and others.

Engineering 52

Engineering Open Source Programming Monitoring 52

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

AUGUST 25, 2020

Using information from the company’s organizational database, it populates each twin with the employee’s ID, team ID, department type, and location. It also includes support for real-time aggregate analytics and visualization integrated with the real-time digital twin model to maximize ease of use.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

AUGUST 25, 2020

Using information from the company’s organizational database, it populates each twin with the employee’s ID, team ID, department type, and location. It also includes support for real-time aggregate analytics and visualization integrated with the real-time digital twin model to maximize ease of use.

Airlines 52

Airlines Mobile Analytics C++ 52

O'Reilly

NOVEMBER 28, 2023

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” A year after the first web servers became available, how many companies had websites or were experimenting with building them? Until AI reaches 100%, it’s still in the process of adoption.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

ScaleOut Software

AUGUST 19, 2014

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. For example, consider a web server farm handling requests for web users or mobile apps. Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

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. For example, consider a web server farm handling requests for web users or mobile apps. Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide.

Cloud 40

Cloud Azure Virtualization Scalability 40

High Scalability

NOVEMBER 25, 2019

Application Servers. Apache FTP server. Native desktop and server hosted clients that allow both interactive as well as hybrid sync access to the entire namespace. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Level of concurrent reads. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52