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. Storage is a critical aspect to consider when working with cloud workloads. What is workload in cloud computing?

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 205

Monitoring Serverless Programming Speed 205

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 205

Monitoring Serverless Programming Speed 205

Dynatrace

JUNE 7, 2023

If you’re evaluating container orchestration software to manage containerized applications at scale, you may be wondering about the differences between OpenShift and Kubernetes. Without having to worry about underlying infrastructure concerns, such as storage, security, and lifecycle management, developers can focus on writing code.

Open Source 212

Open Source Social Media Infrastructure Operating System 212

Percona

DECEMBER 4, 2023

Percona is a leading provider of unbiased, performance-first, open source database solutions that allow organizations to easily, securely, and affordably maintain business agility, minimize risks, and stay competitive, free from vendor lock-in. Participation in the anonymous program is optional. Percona Server for MySQL 8.1.0-1

Open Source 78

Open Source Azure Servers Programming 78

Dynatrace

MAY 8, 2023

In fact, the Dynatrace 2023 CIO Report found that 78% of respondents deploy software updates every 12 hours or less. This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. 54% reported deploying updates every two hours or less.

DevOps 225

DevOps Efficiency Monitoring Infrastructure 225

Percona

AUGUST 18, 2023

Why not just create another database on the same instance? We split databases by function/team to give each team full autonomy over their schema, And if someone screws up, it breaks their cluster, not all databases. So you put multiple MySQL servers on a single machine instead of multiple databases inside one MySQL instance.

Programming 84

Programming Servers Database Hardware 84

Dynatrace

FEBRUARY 14, 2022

Among these, you can find essential elements of application and infrastructure stacks, from app gateways (like HAProxy), through app fabric (like RabbitMQ), to databases (like MongoDB) and storage systems (like NetApp, Consul, Memcached, and InfluxDB, just to name a few). It’s easy—no intermediaries and no redundant moving parts.

Technology 222

Technology Technology Metrics Infrastructure 222

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 Database – Specialty: Database specialists with deep knowledge of relational and non-relational databases and some AWS experience might want to check out this certification.

AWS 215

AWS Best Practices Analytics Cloud 215

Percona

DECEMBER 27, 2023

At Percona, we observe a growing trend among companies utilizing Kubernetes as a means to offer services to their teams, fostering expedited software delivery and driving business growth. of respondents are currently utilizing databases in Kubernetes (k8s).

Cloud 78

Cloud Open Source Strategy Best Practices 78

Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. Redis returns a big list of database metrics when you run the info command on the Redis shell. This blog post lists the important database metrics to monitor.

Metrics 130

Metrics Monitoring Latency Cache 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

Smashing Magazine

MAY 25, 2022

Memory and performance management are important aspects of software development and ones that every software developer should pay attention to. As in every programming language, memory management is a key factor to consider when writing JavaScript. Another important use of WeakMap() is additional data storage.

Cache 117

Cache Programming Storage Code 117

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

APRIL 10, 2023

Percona is a leading provider of unbiased open source database solutions that allow organizations to easily, securely, and affordably maintain business agility, minimize risks, and stay competitive. Our Release Roundups showcase the latest Percona software updates, tools, and features to help you manage and deploy our software.

Open Source 76

Open Source Servers AWS Database 76

All Things Distributed

MAY 18, 2010

Expanding the Cloud - Amazon S3 Reduced Redundancy Storage. Today a new storage option for Amazon S3 has been launched: Amazon S3 Reduced Redundancy Storage (RRS). This new storage option enables customers to reduce their costs by storing non-critical, reproducible data at lower levels of redundancy. Comments ().

Storage 71

Storage Cloud AWS Scalability 71

Percona

DECEMBER 26, 2023

This PoC demonstrates how to install and configure pg_stat_monitor in order to extract useful and actionable metrics from a PostgreSQL database and display them on a Grafana dashboard. Grafana database backend: Prometheus version 2.15.2+d About the environment Grafana: version 10.0.0 A script executing a benchmarking run: #!/bin/bash

Benchmarking 121

Benchmarking Metrics C++ Database 121

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. The post The Need for Real-Time Device Tracking appeared first on ScaleOut Software. The heavy lifting is deferred to the back office.

IoT 78

IoT Analytics Big Data Architecture 78

All Things Distributed

MAY 8, 2012

The software that powers todayâ??s You can then off load the management and scaling of your database and application stack to Amazon RDS and AWS Elastic Beanstalk , and focus on adding value to your customers. Under the License Included service model, you do not need to purchase SQL Server software licenses. . | Comments ().

Cloud 115

Cloud Development AWS Servers 115

The Netflix TechBlog

MAY 14, 2021

Once you finally find useful identifiers, you may begin writing SQL queries against your production database to find out what went wrong. The watermarking functionality, at the start, was a simple offering with various Google Drive integrations for storage and links.

Traffic 160

Traffic Latency Java Google 160

Testsigma

MAY 7, 2020

To quote the study, “For every USD 14 million delivery by the software development and QA team, a hidden USD 3 million was being spent on data management. Above example clearly states the importance and need for proper Test Data Management(TDM), also known as Software Test Data Management. What is test data? Copy production data i.

Testing 60

Testing Storage Database Processing 60

The Morning Paper

MAY 27, 2019

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The protections are hardware implemented and cannot be forged in software. Most programs (almost 800 C programs in the FreeBSD source tree) require no modifications.

C++ 61

C++ Hardware Virtualization Benchmarking 61

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

ScaleOut Software

APRIL 22, 2020

Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. In addition, repeatedly accessing back-end databases to serve up popular items, such as product descriptions and news stories, also adds to the bottleneck. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

All Things Distributed

OCTOBER 8, 2014

The best part is that we are also significantly expanding the free tier many of you already enjoy by increasing the storage to 25 GB and throughput to 200 million requests per month. More than a decade ago, Amazon embarked on a mission to build a distributed system that challenged conventional methods of data storage and querying.

Availability 145

Availability Performance Scalability AWS 145

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. ScaleOut Software’s Digital Twin Streaming Service provides precisely these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

All Things Distributed

APRIL 9, 2015

AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Customers have been asking to add file system functionality to our set of solutions as much of their traditional software required a broad accessible shared file system. Details on the AWS Blog. for a while already.

Lambda 122

Lambda Cloud IoT AWS 122

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. Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system.

Servers 90

Servers Media Cache Storage 90

Dynatrace

SEPTEMBER 25, 2019

Therefore, it requires multidimensional and multidisciplinary monitoring: Infrastructure health —automatically monitor the compute, storage, and network resources available to the Citrix system to ensure a stable platform. Dynatrace Extension: database performance as experienced by the SAP ABAP server. Join the Preview program!

Latency 118

Latency Performance Virtualization Infrastructure 118

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. Driving Storage Costs Down for AWS Customers. Comments ().

AWS 115

AWS Cloud Java Scalability 115

The Morning Paper

JANUARY 26, 2020

See e.g. " Debugging data flows in reactive programs." Changing the program’s state in some way. The non-deterministic input vectors for a JavaScript program are well-known and (compared to POSIX) very small in number. Reverb also take a snapshot of the client’s local storage (e.g.

Programming 86

Programming Servers Network Latency 86

ScaleOut Software

APRIL 22, 2020

Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. In addition, repeatedly accessing back-end databases to serve up popular items, such as product descriptions and news stories, also adds to the bottleneck. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. 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

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

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. Lerner, as a web-service, relies on Amazon Web Services (AWS) and Netflix’s Open Source Software (OSS) tools.

Testing 163

Testing AWS Lambda Network 163

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. The answer to these challenges is a new software concept called the “ real-time digital twin.”

Logistics 52

Logistics Retail Analytics Azure 52