Dynatrace

JANUARY 11, 2023

Agentless monitoring, on the other hand, communicates directly with application programming interfaces (APIs). Database monitoring. This ensures the database queries are performant, while also identifying host problems. For example, uptime detection can identify database instability and help to improve mean time to restoration.

Cloud 217

Cloud Monitoring Best Practices Infrastructure 217

Percona

OCTOBER 13, 2023

Creating launch.json file We need to create the launch.json file under the.vscode directory. { "version": "0.2.0", "configurations": [ { "type": "cppdbg", "request": "launch", "name": "core dump", "program": "/usr/sbin/mysqld", "coreDumpPath": "/tmp/corefiles/core.9708", storage/innobase/./././mysql-8.0.34/storage/innobase/row/row0sel.cc':

Code 101

Code C++ Storage Programming 101

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 79

Open Source Azure Servers Programming 79

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 192

Monitoring Serverless Programming Speed 192

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 191

Monitoring Serverless Programming Speed 191

VoltDB

JULY 10, 2018

This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. But that fully self sufficient nature means that each of these services have their own end-to-end full stack of technology, including database.

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. But that fully self sufficient nature means that each of these services have their own end-to-end full stack of technology, including database.

Architecture 40

Architecture Scalability Ecommerce Latency 40

Dynatrace

MAY 8, 2023

The process involves monitoring various components of the software delivery pipeline, including applications, infrastructure, networks, and databases. It examines metrics like response times, application programming interface availability, and page load times to flag problems that affect the user experience.

DevOps 212

DevOps Efficiency Monitoring Infrastructure 212

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

Percona

DECEMBER 27, 2023

of respondents are currently utilizing databases in Kubernetes (k8s). These indicators suggest that the adoption of databases on k8s is in its early stages and is likely to continue growing in the future. According to the Dynatrace Kubernetes in the Wild 2023 report , a significant 71% (with 48% year-over-year growth!)

Cloud 79

Cloud Open Source Strategy Best Practices 79

The Morning Paper

FEBRUARY 6, 2020

The key ingredients of Cloudburst are a highly-scalable key-value store for persistent state ( Anna ), local caches co-located with function execution environments, and cache-consistency protocols to preserve developer sanity while data is moved in and out of those caches. Programming model. Cloudburst programs are written in Python.

Lambda 98

Lambda Serverless Cache Latency 98

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

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. The HammerDB name.

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. does not support making backups of databases created in MySQL 8.0, It’s time for the release roundup! It’s a mega list!

Open Source 77

Open Source Servers AWS Database 77

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

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. However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node).

Database 40

Database Analytics Blockchain Healthcare 40

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. It provides support for a range of message protocols, buffering, and scalable message distribution to downstream services.

IoT 52

IoT Azure Analytics Serverless 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. We wanted the to tool be available as a standalone library as well as scalable API service.

Testing 163

Testing AWS Lambda Network 163

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 best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.

IoT 78

IoT Analytics Big Data Architecture 78

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 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

MAY 8, 2012

Werner Vogels weblog on building scalable and robust distributed systems. 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. All Things Distributed. Expanding the Cloud for Windows Developers. Comments ().

Cloud 115

Cloud Development AWS Servers 115

All Things Distributed

JANUARY 19, 2011

Werner Vogels weblog on building scalable and robust distributed systems. 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.

AWS 115

AWS Cloud Java Operating System 115

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. 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.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. 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.

Logistics 52

Logistics Analytics Scalability Cloud 52

Dynatrace

SEPTEMBER 25, 2019

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace Extension: database performance as experienced by the SAP ABAP server. Join the Preview program! Dynatrace news. Sound interesting?

Latency 117

Latency Performance Virtualization Infrastructure 117

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. We argue that RInK stores should not be used when implementing scalable data center services. Who knew! ;). From RInK to LInK.

Cache 79

Cache Latency Google Lambda 79

All Things Distributed

MARCH 24, 2011

Werner Vogels weblog on building scalable and robust distributed systems. 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. All Things Distributed. Comments ().

AWS 93

AWS Internet Internet Storage 93

All Things Distributed

AUGUST 16, 2011

Werner Vogels weblog on building scalable and robust distributed systems. The Cloud First strategy is most visible with new Federal IT programs, which are all designed to be â??Cloud This clears the path for agencies that have IT programs that need to be ITAR-compliant to start using AWS GovCloud (US) for these applications.

AWS 111

AWS Government Big Data Cloud 111

Brendan Gregg

APRIL 30, 2018

LISA originally stood for "Large Installation System Administration," where "large" meant systems with more than a gigabyte of storage, or with more than 100 users. To learn more about how LISA has evolved, browse last year's LISA17 conference program , and see the slides and talk videos.

DevOps 43

DevOps Network Best Practices Programming 43

Brendan Gregg

APRIL 29, 2018

LISA originally stood for "Large Installation System Administration," where "large" meant systems with more than a gigabyte of storage, or with more than 100 users. To learn more about how LISA has evolved, browse last year's LISA17 conference program , and see the slides and talk videos.

DevOps 40

DevOps Network Best Practices Programming 40

SQL Server According to Bob

JANUARY 11, 2020

KB sectors run on smaller sectors   14 System and sample databases   15 Determining the formatted sector size of database   15 What sector sizes does SQL Server support? KB boundary   12 Larger transaction logs   13 Restore and attach   14 Format for 4 ?KB

Servers 40

Servers Cache Database Media 40

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. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

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. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52