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 94

Open Source Database Hardware Strategy 94

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. Executing an internal test can tell you how well your application or site handles an increase in traffic, but it will never reflect real-world conditions. Identifying performance bottlenecks.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

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

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

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

Dynatrace

SEPTEMBER 29, 2021

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. Containers can be replicated or deleted on the fly to meet varying end-user traffic.

Open Source 311

Open Source Traffic DevOps Cloud 311

Percona

AUGUST 8, 2023

Or worse yet, sometimes I get questions about regaining normal operations after a traffic increase caused performance destabilization. But we can discuss common bottlenecks, how to assess them, and have a better understanding as to why proactive monitoring is so important when it comes to responding to traffic growth.

Traffic 90

Traffic Cache Monitoring Database 90

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 204

Cache Architecture Database Government 204

Percona

NOVEMBER 9, 2023

If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. Applications can be horizontally scaled with Kubernetes by adding or deleting containers based on resource allocation and incoming traffic demands. have adopted Kubernetes.

Efficiency 104

Efficiency Cloud Healthcare Open Source 104

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. This was a weird problem to think about: Time itself had now become a resource and target of performance analysis. These can be invisible to top(8).

Speed 126

Speed Java AWS Virtualization 126

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

All Things Distributed

APRIL 4, 2017

After finding it cost prohibitive to use colocation centers in local markets where their users are based, iZettle decided to give up hardware. After migrating, database queries that took six seconds now take three seconds in their AWS infrastructure. That’s 100% faster. AWS was crucial to the successful launch of WOW air’s U.S.

AWS 116

AWS Airlines Latency Games 116

Dynatrace

AUGUST 5, 2019

It covers these key areas: Technology & Dependency Analysis. Resource consumption & traffic analysis. Database & functional migration. Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware.

Cloud 31

Cloud Traffic Database Network 31

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. This was a weird problem to think about: Time itself had now become a resource and target of performance analysis. These can be invisible to top(8).

Speed 52

Speed Java AWS Virtualization 52

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. This was a weird problem to think about: Time itself had now become a resource and target of performance analysis. These can be invisible to top(8).

Speed 40

Speed Java AWS Virtualization 40

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

Alex Russell

MARCH 6, 2021

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. But the hardware future is not evenly distributed, and web workloads aren't heavily parallel. Mind The Gap.

Performance 124

Performance Network Cache Metrics 124

Percona

AUGUST 27, 2018

assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. Database administrators with appropriate privileges can associate virtual CPUs with resource groups and assign threads to these groups.

Tuning 45

Tuning Virtualization Testing Servers 45

All Things Distributed

NOVEMBER 15, 2016

They require companies to provision and maintain complex hardware infrastructure and invest in expensive software licenses, maintenance fees, and support fees that cost upwards of thousands of dollars per user per year. Enter Amazon QuickSight. Getting started with QuickSight is simple.

Analytics 152

Analytics Availability Media Social Media 152

Smashing Magazine

JANUARY 6, 2020

Treo Sites provides competitive analysis based on real-world data. For Mac OS, we can use Network Link Conditioner , for Windows Windows Traffic Shaper , for Linux netem , and for FreeBSD dummynet. 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).

Performance 145

Performance Cache Network Metrics 145