Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Dynatrace makes it radically simple to ingest all the monitoring data you need by integrating with a wide variety of platforms, applications, programming languages, and data formats.

Technology 216

Technology Technology Metrics Infrastructure 216

Dynatrace

MARCH 22, 2023

For this, best practices would be to segregate commands from data, use parameterized SQL queries, and eliminate the interpreter by using a safe application program interface, if possible. In addition, analyze data from a unified observability view that provides contextualized application security analytics.

Open Source 196

Open Source Artificial Intelligence Internet Internet 196

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

ScaleOut Software

MAY 6, 2020

Writing applications for streaming analytics can be complex and time consuming. Existing programming models make it too difficult to perform meaningful analysis in real time. This application cannot be implemented by most streaming analytics platforms. A database service to host state information for each user.

Development 52

Development Analytics Database Programming 52

ScaleOut Software

MAY 6, 2020

Writing applications for streaming analytics can be complex and time consuming. Existing programming models make it too difficult to perform meaningful analysis in real time. This application cannot be implemented by most streaming analytics platforms. A database service to host state information for each user.

Development 52

Development Analytics Database Programming 52

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

Percona

JUNE 4, 2023

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation.

Open Source 52

Open Source Servers Storage Scalability 52

ScaleOut Software

NOVEMBER 24, 2020

Every few seconds, the application servers collect batches of snapshots and write them to the database where they can be queried by dispatchers managing the fleet. Using a database, dispatchers can query raw telemetry to determine the information they need to manage the fleet in real time. Solution: Real-Time Digital Twins.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Testlodge

NOVEMBER 1, 2021

” Destructive testing is a method that uses the system in a way other than intended to make the software program deliberately fail. Some of the tools are data-driven and allow the tester to perform actions as a user who is uninformed about the internal workings of the software program. How the system responds is then analyzed.

Systems 81

Systems Testing Software Software 81

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

ScaleOut Software

JUNE 22, 2020

When first introduced, distributed caching offered a breakthrough for applications by storing fast-changing data in memory on a server cluster for consistently fast response times, while simultaneously offloading database servers that would otherwise become bottlenecked.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

When first introduced, distributed caching offered a breakthrough for applications by storing fast-changing data in memory on a server cluster for consistently fast response times, while simultaneously offloading database servers that would otherwise become bottlenecked.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Testsigma

NOVEMBER 11, 2020

Network disconnection is a common automation challenge that a QA team faces wherein they find it hard to access databases, VPN, third party services, APIs, specific testing environments, etc. A code smell is basically any characteristic in the code of a program that has a negative impact on the design quality. Network Disconnections.

Testing 85

Testing Mobile Network Analytics 85

All Things Distributed

AUGUST 16, 2011

The Cloud First strategy is most visible with new Federal IT programs, which are all designed to be â??Cloud There were however a number of programs that really could benefit from the Cloud but which had unique regulatory requirements, such as ITAR, that blocked migration to AWS. Driving down the cost of Big-Data analytics.

AWS 111

AWS Government Big Data Cloud 111

The Netflix TechBlog

MAY 21, 2019

There are several problems efficient test scheduling could help us solve: Quickly detect a regression in the integration of the Netflix SDK on a consumer electronic or MVPD (multichannel video programming distributor) device. Detect a regression in a test case.

Testing 163

Testing AWS Lambda Network 163

Testsigma

JANUARY 22, 2020

Focus on analytical thinking : For an automation tester, an instinct for analytics and logical application of concepts is important. Understanding of programming languages : To be a successful automation tester, the tester should have a good understanding of programming languages. Refer manual testing to learn more.

Testing Tools 61

Testing Tools Programming Testing DevOps 61

All Things Distributed

JANUARY 19, 2011

Flexibility is one of the key principles of Amazon Web Services - developers can select any programming language and software package, any operating system, any middleware and any database to build systems and applications that meet their requirements. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 115

AWS Cloud Java Operating System 115

SQL Performance

APRIL 17, 2020

Depending on the type of change and the configuration of the database, an ALTER COLUMN command will need to perform one of the following actions: Change metadata in system tables only. Particular care is needed when altering a string column that has a collation not matching the default for the database. Test2 ; GO. CREATE TABLE dbo.

Servers 63

Servers Database Testing Efficiency 63

Testsigma

MAY 7, 2020

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. By Wikipedia – “Test data is data which has been specifically identified for use in tests, typically of a computer program.”.

Testing 60

Testing Storage Database Processing 60

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

The Morning Paper

OCTOBER 22, 2019

About half (18) used programming as their primary means of exploring data, and the remainder used visual analytics tools or a mix of tools and programming. SQL databases and spreadsheets (of course!!) There were 30 participants in the study, each with at least four years of analysis experience.

Programming 40

Programming Software Engineering Analytics Database 40

Testsigma

DECEMBER 20, 2019

Manual testers check log files, external services, and databases for errors, moreover, they record their findings. Natural language processing : Programming computers to analyze and process natural human language. ML algorithms provide testers with plenty of analytics, therefore, they find it easier to automate API testing.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

HammerDB

FEBRUARY 25, 2021

HammerDB is a load testing and benchmarking application for relational databases. All the databases that HammerDB tests implement a form of MVCC (multi-version concurrency control). On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute.

Programming 67

Programming Benchmarking Virtualization C++ 67

All Things Distributed

MARCH 24, 2011

The TNW team is doing a great job in getting an excellent program together that draws an audience from around the world, not just Europe, and there is an interesting mix of startups, enterprises, investors and media attending. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Expanding the Cloud â??

AWS 93

AWS Internet Internet Storage 93

Jos

JUNE 2, 2018

I remember when I learned about dynamic programming, greedy or divide and conquer algorithms. You will work hard on implementing features, collaborating with other teams (eg adding scripts for analytics, ads, retargeting, A/B test), setting up CI/CD, ensuring security, and making sure the project is usable and pleasant to the eye.

Performance 237

Performance Speed Google Media 237

Percona

MARCH 30, 2023

The use of open source databases has increased steadily in recent years. Past trepidation — about perceived vulnerabilities and performance issues — has faded as decision makers realize what an “open source database” really is and what it offers. What is an open source database?

Open Source 78

Open Source Database Storage Scalability 78

Scalegrid

MARCH 28, 2024

Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future. Elevating Redis with ScaleGrid’s Managed DBaaS Database management can be intricate. Managed Database-as-a-Service (DBaaS) solutions like ScaleGrid.io Redis Database Management with ScaleGrid ScaleGrid.io

Cache 130

Cache Storage Scalability Architecture 130

ScaleOut Software

JULY 11, 2020

These interactions also need to be tracked to contain exposure within the organization, as illustrated in the following diagram: Voluntary contact self-tracing can handle the most common scenarios by using the company’s employee database to automatically connect colleagues who work in the same department and interact daily.

Airlines 52

Airlines Retail Mobile Technology 52

ScaleOut Software

JULY 11, 2020

These interactions also need to be tracked to contain exposure within the organization, as illustrated in the following diagram: Voluntary contact self-tracing can handle the most common scenarios by using the company’s employee database to automatically connect colleagues who work in the same department and interact daily.

Airlines 52

Airlines Retail Mobile Technology 52

ScaleOut Software

JULY 11, 2020

These interactions also need to be tracked to contain exposure within the organization, as illustrated in the following diagram: Voluntary contact self-tracing can handle the most common scenarios by using the company’s employee database to automatically connect colleagues who work in the same department and interact daily.

Airlines 52

Airlines Retail Mobile Technology 52

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. With ScaleGrid, users can effortlessly deploy hosting services for databases such as MySQL, PostgreSQL, Redis, MongoDB, and Greenplum Database.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

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. Which Programming Languages are Most Popular for PostgreSQL?

Strategy 182

Strategy Cloud Java Open Source 182