ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? It views the incoming stream of messages as a columnar database with the column representing a time-ordered history of messages. The parallelogram represents application code.) What Problems Does Streaming Analytics Solve?

Analytics 69

Analytics Azure Processing Speed 69

Scalegrid

DECEMBER 6, 2023

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 as a Service (DBaaS) and managed databases offer distinct advantages along with certain challenges.

Database 130

Database Cloud Hardware Storage 130

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

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. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

Scalegrid

MAY 2, 2019

Python is a powerful and flexible programming language used by millions of developers around the world to build their applications. It comes as no surprise that Python developers commonly leverage MongoDB hosting , the most popular NoSQL database , for their deployments due to its flexible nature and lack of schema requirements.

Testing 55

Testing Network Database Servers 55

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. Unlike manual or automatic log queries, in-memory computing can continuously run analytics code on all incoming data and instantly find issues.

IoT 78

IoT Analytics Big Data Architecture 78

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

Scalegrid

SEPTEMBER 16, 2019

PostgreSQL graphical user interface (GUI) tools help these open source database users to manage, manipulate, and visualize their data. PostgreSQL is the fourth most popular database management system in the world, and heavily used in all sizes of applications from small to large. Why Use a GUI Tool? pgAdmin uses too many resources.

Open Source 262

Open Source Database Azure Cloud 262

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. Creating a prototype (for example, on Azure ).

Serverless 243

Serverless Efficiency Lambda Azure 243

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

JULY 7, 2022

Then, they can split these services into functional application programming interfaces (APIs), rather than shipping applications as one large, collective unit. One large team generally maintains the source code in a centralized repository that’s visible to all engineers, who commit their code in a single build.

Architecture 199

Architecture Serverless Azure Programming 199

O'Reilly

FEBRUARY 18, 2020

It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. In programming, Python is preeminent. Normalized search frequency of top programming languages on the O’Reilly online learning platform in 2019 (left) and the rate of change for each language (right). Figure 3 (above).

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

Dotcom-Montior

OCTOBER 19, 2021

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., Programming Languages. Let us look at some of the most common programming languages an SRE group will encounter, like Python, Golang, and Ruby. so they are going to see more tools in that toolbelt.

Engineering 86

Engineering Open Source Programming Monitoring 86

O'Reilly

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Many AI adopters are still in the early stages.

Open Source 107

Open Source Artificial Intelligence Google Infrastructure 107

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. These questions can be answered using the latest data as it streams in from the field. Besides just tracking assets, real-time digital twins also can track needs.

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. These questions can be answered using the latest data as it streams in from the field. Besides just tracking assets, real-time digital twins also can track needs.

Logistics 52

Logistics Analytics Scalability Cloud 52

Dotcom-Montior

FEBRUARY 19, 2022

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., Programming Languages. Let us look at some of the most common programming languages an SRE group will encounter, like Python, Golang, and Ruby. so they are going to see more tools in that toolbelt.

Engineering 52

Engineering Open Source Programming Monitoring 52

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. Service mesh. Traditional architecture vs. native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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. Neal, Matt, and others from Windows Storage, Windows Azure Storage, Windows Hyper-V, … validating Windows behaviors. ·

Servers 90

Servers Media Cache Storage 90

O'Reilly

OCTOBER 19, 2021

If you peek under the hood of an ML-powered application, these days you will often find a repository of Python code. Let’s start by considering the job of a non-ML software engineer: writing traditional software deals with well-defined, narrowly-scoped inputs, which the engineer can exhaustively and cleanly model in the code.

DevOps 138

DevOps Software Engineering Open Source Infrastructure 138

The Morning Paper

FEBRUARY 20, 2020

The motivation is not that inference will perform better inside the database, but that the database is the best place to take advantage of enterprise features (transactions, security, auditing, HA, and so on). These pipelines are stored directly in the database. End-to-end the picture looks like this: ( Enlarge ).

Processing 72

Processing Hardware Database Azure 72

SQL Server According to Bob

JULY 13, 2016

Launching this program brings you to the new Basic Installer Screen. This is effectively the same as if you had used the full install and picked the features of Database Engine Services and Client Connectivity SDK as the two components to install. It is about 3.5Mb in size. I call this the basic installer executable.

Servers 40

Servers Media Engineering Virtualization 40

SQL Performance

AUGUST 12, 2020

In my examples I’ll use a sample database called TSQLV5. So it could be that the term originated in one of the database products and later adopted by some of the other database vendors. So it could be that the term originated in one of the database products and later adopted by some of the other database vendors.

C++ 140

C++ Code Design Database 140

Particular Software

MAY 8, 2023

When code breaks, our first move is carefully inspecting the call stack. For example, in a highly observable system, we can easily infer the internal state and behavior of the system without going back into the code to make changes when something unexpected occurs. All of these components can participate in a business transaction.

Systems 52

Systems C++ Azure Metrics 52

ScaleOut Software

MAY 19, 2020

Borrowed from its use in the field of product life-cycle management, real-time digital twins host application code that analyzes incoming telemetry (event messages) from each individual data source and maintains dynamically evolving information about the data source.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Borrowed from its use in the field of product life-cycle management, real-time digital twins host application code that analyzes incoming telemetry (event messages) from each individual data source and maintains dynamically evolving information about the data source.

Logistics 52

Logistics IoT Analytics Azure 52

KeyCDN

MARCH 14, 2019

Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services. The miracle of machine learning allows programs to collect and synthesize new information to improve the user experience. Expect to see more complex projects becoming possible without the need for writing a line of code.

Development 101

Development Blockchain Serverless Social Media 101

SQL Performance

SEPTEMBER 9, 2020

Use the following code to create and populate the Employees table in the tempdb database: SET NOCOUNT ON ; USE tempdb ; DROP TABLE IF EXISTS dbo. Another option is to use imperative iterative code, but such solutions tend to be lengthy. Remember that when the limit is exceeded, the execution of the code is aborted with an error.

C++ 143

C++ Code Servers Availability 143

Tasktop

FEBRUARY 26, 2020

If you’re part of the support desk team or a developer, you have surely experienced the frustration of wasting too much time duplicating information from ServiceNow tickets into other tools where developers actually do the work, like Jira, Azure DevOps, Rally and VersionOne. . But this doesn’t come without problems.

Efficiency 52

Efficiency Software Software Azure 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

JANUARY 31, 2020

This code often takes the form of a set of SQL queries (extended with time-windowing semantics) running continuously to select interesting events from the stream. Query results also might be forwarded to cloud-based serverless functions to trigger alerts or other actions in conjunction with access to a database or blob store.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

ScaleOut Software

JANUARY 31, 2020

This code often takes the form of a set of SQL queries (extended with time-windowing semantics) running continuously to select interesting events from the stream. Query results also might be forwarded to cloud-based serverless functions to trigger alerts or other actions in conjunction with access to a database or blob store.

Analytics 52

Analytics Social Media Serverless Cloud 52

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. Requirements defined in Jama flow are synchronized as Stories to Jira.

Development 45

Development DevOps Google Innovation 45

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