Scalegrid

MARCH 14, 2024

Effective hybrid cloud management requires robust tools and techniques for centralized administration, policy enforcement, cost management, and modern infrastructure practices like Infrastructure-as-Code (IaC) and containers. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

DECEMBER 2, 2021

Impact : This issue affects only those extensions that use native libraries called from Python code distributed with the extension. Settings > Anomaly detection > Database services. New analytics view for message queues. Most often this will manifest itself as Python ModuleNotFoundError in the PluginAgent log.

Lambda 193

Lambda Azure Metrics Monitoring 193

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. However, this method limited us to instrumenting the code manually and collecting specific sets of data we defined upfront.

Metrics 171

Metrics Database Monitoring 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

Dynatrace

JANUARY 5, 2022

Therefore, we implemented Dynatrace in almost all major applications for our customers to gain visibility from end-user to code-level and to reduce time with problem fixing and pro-active scalability optimizations by using Dynatrace’s AI-based root cause analysis. Our customers usually involve us 2-4 weeks before the production release.

Testing 217

Testing Open Source Metrics Infrastructure 217

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. Microservices. What are cloud-native services?

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

SEPTEMBER 29, 2021

Developer tools for building container images : Docker Build creates a container image, the blueprint for a container, including everything needed to run an application – the application code, binaries, scripts, dependencies, configuration, environment variables, and so on. How does advanced observability benefit Kubernetes and Docker Swarm?

Open Source 301

Open Source Traffic DevOps Cloud 301

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

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

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

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

Dynatrace

SEPTEMBER 17, 2019

End-to-end code-level tracing. Cluster and container Log Analytics. Dynatrace’s PurePath technology brings us automatic end-to-end code level tracing without having to modify any code or configuration. MaaS for Developers: Understand and optimize your code. 2: Distributed code optimization.

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

Dotcom-Montior

OCTOBER 19, 2021

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., It also extremely fast since it is a compiled language, meaning that the code written is converted automatically into machine code immediately. so they are going to see more tools in that toolbelt.

Engineering 86

Engineering Open Source Programming Monitoring 86

Dynatrace

JUNE 1, 2021

Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dotcom-Montior

FEBRUARY 19, 2022

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., It also extremely fast since it is a compiled language, meaning that the code written is converted automatically into machine code immediately. so they are going to see more tools in that toolbelt.

Engineering 52

Engineering Open Source Programming Monitoring 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. Code running in the twin then sends messages to the real-time digital twins for all contacts in the employee’s list. The message-processing method’s code is shared by all twins.

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. Code running in the twin then sends messages to the real-time digital twins for all contacts in the employee’s list. The message-processing method’s code is shared by all twins.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

APRIL 3, 2020

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. The computing system also has the ability to perform aggregate analytics in seconds on the continuously evolving data held in the twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

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. The computing system also has the ability to perform aggregate analytics in seconds on the continuously evolving data held in the twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

SQL Server According to Bob

DECEMBER 18, 2018

Durability: “In database systems , durability is the ACID property which guarantees transactions that have committed will survive permanently. Microsoft SQL Server Database Engine Input/Output Requirements. Patrick and Purvi doing performance and regression analytics. Patrick and Purvi doing performance and regression analytics.

Servers 90

Servers Media Cache Storage 90

Tasktop

JUNE 20, 2019

Developers are also highly impacted by activities that happen downstream from code-commit, like testing, deployment, customer support, and operations. Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs. Learn more.

Development 45

Development DevOps Google Innovation 45

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.” And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more. However, several other factors are in play.

Open Source 107

Open Source Artificial Intelligence Google Infrastructure 107

High Scalability

NOVEMBER 25, 2019

Java used to power core file system code. Python used to power client-side code, certain microservices, migration scripts, internal scripts. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Level of concurrent reads. Level of concurrent writes. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52