Percona

OCTOBER 18, 2023

Migrating a proprietary database to open source is a major decision that can significantly affect your organization. Today, we’ll be taking a deep dive into the intricacies of database migration, along with specific solutions to help make the process easier.

Open Source 93

Open Source Database Hardware Strategy 93

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. Dynatrace news. With public clouds, multiple organizations share resources.

Infrastructure 181

Infrastructure Cloud Azure AWS 181

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. HA is sometimes confused with “fault tolerance.”

Availability 109

Availability Database Open Source Hardware 109

Scalegrid

DECEMBER 21, 2023

Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. NoSQL database.

Analytics 187

Analytics Artificial Intelligence Big Data Open Source 187

The Morning Paper

MAY 14, 2019

Seer uses a lightweight RPC-level tracing system to collect request traces and aggregate them in a Cassandra database. When a QoS violation is predicted to occur and a culprit microservice located, Seer uses a lower level tracing infrastructure with hardware monitoring primitives to identify the reason behind the QoS violation.

Big Data 45

Big Data Cloud Performance Hardware 45

Dotcom-Montior

NOVEMBER 27, 2018

It helps assess how a site, web application, or API will respond to various traffic, without adding any additional infrastructure. Analyzing server performance (CPU, memory, bandwidth, disk I/O) and database response times. You can also export all HTTP related data in CSV format for analysis using any tool you choose.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

Dotcom-Montior

DECEMBER 8, 2021

ITSM is one of the practices of the Information Technology Infrastructure Library, or ITIL. The IT service catalog is typically a database or resource that an organization creates to provide users with information on their operational services and offerings. Root-cause analysis and source of the incident. Service Catalog.

Social Media 90

Social Media Monitoring Latency DevOps 90

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Simplicity.

Serverless 279

Serverless AWS Lambda Storage 279

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. This is essential for operators to understand the health and behavior of the container infrastructure as well as the applications running in it.

Open Source 301

Open Source Traffic DevOps Cloud 301

O'Reilly

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” of users) report that “infrastructure issues” are an issue. Many AI adopters are still in the early stages.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

Dynatrace

AUGUST 30, 2019

Infrastructure Optimization: 100% improvement in Database Connectivity. Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. Think of a user login which requires your back-end systems to validate user credentials and query required user profile information from the backend databases.

Cache 197

Cache Architecture Database Government 197

Dynatrace

MAY 5, 2020

This is recognition of the successful integration of Dynatrace with the Amazon RDS, which simplifies the installation, operation, and scaling of relational databases in the AWS cloud. Tasks such as hardware provisioning, database setup, patching, and backups are fully automated, making Amazon RDS cost efficient and scalable.

Design 141

Design AWS Education Innovation 141

Percona

JULY 7, 2023

Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. This blog highlights considerations for keeping your own PostgreSQL databases highly available and healthy. The same changes made in the primary database are made in the replicas.

Availability 85

Availability Open Source Architecture Database 85

Percona

NOVEMBER 9, 2023

If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. It simplifies infrastructure management and is the driving force behind many cloud-native applications and services. Because of this flexibility, businesses may choose the infrastructure that best meets their needs.

Efficiency 104

Efficiency Cloud Healthcare Open Source 104

All Things Distributed

OCTOBER 7, 2015

In such a data intensive environment, making key business decisions such as running marketing and sales campaigns, logistic planning, financial analysis and ad targeting require deriving insights from these data. However, the data infrastructure to collect, store and process data is geared toward developers (e.g.,

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

APRIL 4, 2017

The new region will give Nordic-based businesses, government organisations, non-profits, and global companies with customers in the Nordics, the ability to leverage the AWS technology infrastructure from data centers in Sweden. They migrated their IT infrastructure, including mission-critical payments platforms, to AWS in just six weeks.

AWS 116

AWS Airlines Latency Games 116

Scalegrid

JUNE 11, 2019

Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud.

Open Source 55

Open Source Database Cloud Infrastructure 55

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. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario. Esv3-series.

Azure 72

Azure Virtualization Servers Storage 72

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. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

Dynatrace

AUGUST 5, 2019

For our migration projects, we simply roll out Dynatrace OneAgents on the existing infrastructure. It covers these key areas: Technology & Dependency Analysis. Resource consumption & traffic analysis. Database & functional migration. Step 3: Detailed Traffic Dependency Analysis. What’s in your stack?”.

Cloud 31

Cloud Traffic Database Network 31

Percona

AUGUST 29, 2023

Its query engine not only parallelizes incoming SQL queries for time series but also has the ability to create column-wise tables making it ideal for OLAP analysis duties. Data redundancy, a database version of a RAID Pondering the case of high availability and redundancy, one replicates data by creating a replica via streaming replication.

C++ 81

C++ Database Storage Testing 81

Alex Russell

APRIL 29, 2021

The initial implementation was removed from Blink post-fork and re-implemented on new infrastructure several years later. is access to hardware devices. This allows customisation and use of specialised features without custom, proprietary software for niche hardware. position: sticky. CSS color(). Shape Detection.

Media 145

Media Games Education Engineering 145

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. This is effectively a top-down approach to failure mode analysis, and it avoids the trap of getting bogged down in all the possible things that could go wrong using a bottoms-up approach. Book: Engineering a Safer World by Nancy G.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. This is effectively a top-down approach to failure mode analysis, and it avoids the trap of getting bogged down in all the possible things that could go wrong using a bottoms-up approach. Book: Engineering a Safer World by Nancy G.

Latency 53

Latency Engineering Systems Hardware 53

O'Reilly Software

APRIL 4, 2018

Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components.

Architecture 80

Architecture Scalability Google Operating System 80

SQL Performance

MARCH 8, 2021

The following examples use the public Stack Overflow 2013 database ( download details ), with a single index added: CREATE INDEX PP ON dbo. This uses hardware, typically a crystal oscillator, that produces ticks at a very high constant rate regardless of processor speed, power settings, or anything of that nature. CQScanProfileNew.

Servers 95

Servers Tuning Architecture Processing 95

All Things Distributed

NOVEMBER 15, 2010

The early GPU systems were very vendor specific and mostly consisted of graphic operators implemented in hardware being able to operate on data streams in parallel. Programming the GPU evolved in a similar fashion; it started with the early APIs being mainly pass-through to the operations programmed in hardware. Amazon DynamoDB â??

AWS 136

AWS Latency Programming Architecture 136

Alex Russell

MARCH 6, 2021

In 2016, Jio swept over the subcontinent like a monsoon dropping a torrent of 4G infrastructure and free data rather than rain. Hardware Past As Performance Prologue. Regardless, the overall story for hardware progress remains grim, particularly when we recall how long device replacement cycles are: Tap for a larger version.

Performance 124

Performance Network Cache Metrics 124

Scalegrid

JULY 13, 2020

Oracle Database is a commercial, proprietary multi-model database management system produced by Oracle Corporation, and the largest relational database management system (RDBMS) in the world. While Oracle remains the #1 database on the market, its popularity has steadily declined by over 18% since 2013. Not available.

Open Source 244

Open Source Tuning C++ Database 244

All Things Distributed

NOVEMBER 15, 2016

As I mentioned, we live in a world where massive volumes of data are being generated, every day, from connected devices, websites, mobile apps, and customer applications running on top of AWS infrastructure. SPICE is cloud-native, which means that customers don’t need to provision, manage, or scale infrastructure manually.

Analytics 152

Analytics Availability Media Social Media 152

High Scalability

NOVEMBER 25, 2019

Infrastructure Optimization. Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced. Automate schema management for some remaining databases. What Infrastructure Do You Use? Which database do you use? Video Transcoding.

Architecture 52

Architecture Cache Azure Storage 52

Smashing Magazine

JANUARY 6, 2020

Treo Sites provides competitive analysis based on real-world data. On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Large preview ). From Fast By Default: Modern loading best practices by Addy Osmani (Slide 19).

Performance 145

Performance Cache Network Metrics 145