Dynatrace

NOVEMBER 4, 2022

According to the survey, the key challenges CIOs face in unlocking greater value from observability data include the unavailability of data for analytics on demand (56%), inability to keep the data that is deemed critical in hot storage due to the cost (40%), and centralizing log management because it is difficult and time-consuming (35%). .

Government 147

Government Analytics Cloud Storage 147

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

FEBRUARY 15, 2023

Further, developers can build more agility into their processes with an intuitive, low-code approach to create custom, compliant, and intelligent data-driven apps and automation. Additionally, its modern architecture delivers cost-effective storage and compute. Site Reliability Guardian.

Analytics 130

Analytics Storage Cloud Code 130

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. It uses a hash table to manage these pairs, divided into fixed-size buckets with linked lists for key-value storage. step in to simplify this task.

Cache 130

Cache Storage Scalability Architecture 130

ScaleOut Software

SEPTEMBER 20, 2018

These are exciting times in the evolution of stream-processing. As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. It represents a big step forward for building stream-processing applications.

Programming 63

Programming IoT Java Analytics 63

Dynatrace

SEPTEMBER 30, 2021

Major cloud providers such as AWS offer certification programs to help technology professionals develop and mature their cloud skills. AWS Certified Data Analytics – Specialty: Highly knowledgeable data analytics pros who have already worked with AWS for some time should consider getting this certification. Data analytics.

AWS 205

AWS Best Practices Analytics Cloud 205

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 213

Technology Technology Metrics Infrastructure 213

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. All the tedious tasks such as storage, backups, and configuration are managed by an attentive crew so that you can concentrate on making your vacation special.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

DECEMBER 20, 2021

In practice, session recording solutions make use of the document object model (DOM), which is a programming interface for web pages and document. Improved analytic context. While data analysis tools such as Google Analytics provide statistics based on user experiences, they lack details about what the user is doing and experiencing.

Mobile 243

Mobile Website Analytics Cache 243

ScaleOut Software

SEPTEMBER 20, 2018

These are exciting times in the evolution of stream-processing. As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. It represents a big step forward for building stream-processing applications.

Programming 40

Programming IoT Java Analytics 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

Dynatrace

DECEMBER 15, 2022

In this blog, we share three log ingestion strategies from the field that demonstrate how building up efficient log collection can be environment-agnostic by using our generic log ingestion application programming interface (API). In the “Storage and Logging” section, select “ awsfirelens ” as the log driver.

Strategy 177

Strategy AWS Open Source Transportation 177

Scalegrid

OCTOBER 7, 2019

The supported programming languages for PostgreSQL include.Net, C, C++, Delphi, Java, JavaScript (Node.js), Perl, PHP, Python and Tcl, but PostgreSQL can support many server-side procedural languages through its available extensions. We found that Java is the most popular programming language for PostgreSQL, being leveraged by 31.1%

Strategy 182

Strategy Cloud Java Open Source 182

Percona

MARCH 30, 2023

Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. They’re often preferred for storing and processing business intelligence data by organizations that require fast SQL queries.

Open Source 77

Open Source Database Storage Scalability 77

Dynatrace

NOVEMBER 17, 2020

With these release candidate APIs available, instrumentation for web frameworks, storage clients, and much more can be built. I started 4 years ago as an intern working on the natural language processing pipeline for task automation and transitioned to the Open Source office working primarily on OpenTelemetry about a year ago.

Open Source 151

Open Source Software Engineering Government Java 151

Percona

JUNE 4, 2023

Introduction: MariaDB vs. MySQL The goal of this blog post is to evaluate, at a higher level, MariaDB vs. MySQL vs. Percona Server for MySQL side-by-side to better inform the decision making process. Efficient data processing and indexing, making it optimal for executing queries and handling large datasets.

Open Source 52

Open Source Servers Storage Scalability 52

Tech News Gather

APRIL 10, 2023

The three pillars of this process are design, development, and implementation. During the development phase, there are different programming languages, such as Java or Swift, that you can use for coding your app, plus helpful frameworks like React Native. The design phase decides the app’s look, feel, and major purpose.

Mobile 52

Mobile Development Open Source Java 52

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

HammerDB

JUNE 27, 2022

The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here. What programming languages does HammerDB use and why does it matter? As a result, HammerDB was able to scale beyond other database workload applications. Adoption by the TPC.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

The Netflix TechBlog

MAY 21, 2019

Partners across the globe leverage Netflix device certification process on a continual basis to ensure that quality products and experiences are delivered to their customers. The certification process involves the verification of partner’s implementation of features provided by the Netflix SDK. Detect a regression in a test case.

Testing 163

Testing AWS Lambda Network 163

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. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Unilever – Unilever R&D program intended to accelerate the company’s scientific progress through improved access to global information. Shell''s scientists, especially the geophysicists and drilling engineers, frequently use cloud computing to run models.

Cloud 129

Cloud Energy AWS Healthcare 129

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. So the complete process was reviewed and evaluated. Finally, a process for test data management was implemented.

Testing 60

Testing Storage Database Processing 60

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 Storage Costs Down for AWS Customers.

AWS 111

AWS Government Big Data Cloud 111

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. This information can be a mix of analytical (OLAP) queries (i.e. Analytical databases are optimized for a low number of slow queries.

Database 40

Database Analytics Blockchain Healthcare 40

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

The Morning Paper

OCTOBER 22, 2019

The authors place it within the overall analysis process like this: That looks a lot more waterfall-like than my experience of reality though. 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.

Programming 40

Programming Software Engineering Database Analytics 40

ScaleOut Software

JUNE 29, 2018

The digital twin model for stateful stream-processing is a case in point. In a previous blog , we explored how this model for building stream-processing applications naturally shifts the application’s focus from the event stream to the data sources that are sending events. See the diagram below.)

Software Architecture 40

Software Architecture Architecture Software Software 40

ScaleOut Software

JUNE 29, 2018

The digital twin model for stateful stream-processing is a case in point. In a previous blog , we explored how this model for building stream-processing applications naturally shifts the application’s focus from the event stream to the data sources that are sending events. See the diagram below.)

Software Architecture 40

Software Architecture Architecture Software Software 40

SQL Server According to Bob

DECEMBER 18, 2018

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Patrick and Purvi doing performance and regression analytics. Neal, Matt, and others from Windows Storage, Windows Azure Storage, Windows Hyper-V, … validating Windows behaviors. · Starting with the Linux 4.18

Servers 90

Servers Media Cache Storage 90

ScaleOut Software

MAY 4, 2014

A recent blog post highlighted a Microsoft technical report which asserts that most Hadoop workloads are 100 GB or smaller, and for almost all workloads except the very largest “a single ‘scale-up’ server can process each of these jobs and do as well or better than a cluster in terms of performance, cost, power, and server density.”

Network 40

Network Servers Analytics Storage 40

Alex Russell

JULY 14, 2021

Here, native apps are doing work related to their core function; storage and tracking of user data are squarely within the four corners of the app's natural responsibilities. Without the ability to catch all navigations sent to the OS, users who downloaded these programs suffered frequent computing amnesia. How can that be?

Google 121

Google Mobile Engineering Internet 121

The Netflix TechBlog

MARCH 10, 2023

are stored in secure storage layers. Amsterdam is built on top of three storage layers. And finally, we have an Apache Iceberg layer which stores assets in a denormalized fashion to help answer heavy queries for analytics use cases. It is also responsible for asset discovery, validation, sharing, and for triggering workflows.

Strategy 258

Strategy Cache Analytics Storage 258