Percona

SEPTEMBER 1, 2023

MySQL performance tuning offers several significant advantages for effective database management and optimization. Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

OCTOBER 7, 2021

Serverless architecture shifts application hosting functions away from local servers onto those managed by providers. This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Serverless architecture: A primer. Application integration. Data Store.

Serverless 286

Serverless AWS Lambda Storage 286

Dynatrace

MARCH 22, 2023

This method involves providing the lowest level of access by default, deleting inactive accounts, and auditing server activity. For these, it’s important to turn off auto-completing forms, encrypt data both in transit and at rest with up-to-date encryption techniques, and disable caching on data collection forms.

Open Source 203

Open Source Artificial Intelligence Internet Internet 203

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. These storage nodes collaborate to manage and disseminate the data across numerous servers spanning multiple data centers.

Storage 130

Storage Systems Big Data Azure 130

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. PMM monitors the MySQL uptime: show global status like 'uptime'; Indicates the amount of time (seconds) the MySQL server has been running since the last restart.

Performance 102

Performance Monitoring Traffic Database 102

Dynatrace

AUGUST 30, 2019

Infrastructure Optimization: 100% improvement in Database Connectivity. Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. That included web servers, app services, microservices, queues, databases, mainframe and external services.

Cache 201

Cache Architecture Database Government 201

Dynatrace

NOVEMBER 3, 2021

For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time. Experienced database administrators learn to spot patterns that can lead to common problems. Organizations look to observability to provide the data they need for contextual analysis.

Monitoring 226

Monitoring Metrics DevOps Scalability 226

Percona

AUGUST 8, 2023

Unfortunately, this topic is more of an art than a science, given that there is really no foolproof algorithm or approach that can tell you exactly where you might hit a bottleneck with server performance. Hardware considerations The first thing we have to consider here is the resources that the underlying host provides to the database.

Traffic 88

Traffic Cache Monitoring Database 88

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.

Azure 72

Azure Virtualization Servers Storage 72

Dynatrace

NOVEMBER 29, 2021

In addition to the built-in views, Dynatrace provides data analysis tools that greatly enhance your abilities to query and chart metrics. According to the official AWS announcement, Graviton2-based Lambda functions offer up to 34% better price-performance improvement. Dynatrace service view.

Lambda 218

Lambda AWS Serverless Metrics 218

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

Scalability 40

Scalability Cache Airlines Healthcare 40

Highly Scalable

SEPTEMBER 18, 2012

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. In this article I’m trying to provide more or less systematic description of techniques related to distributed operations in NoSQL databases. Data Placement. System Coordination. Read/Write latency.

Database 213

Database Latency C++ Scalability 213

Dynatrace

APRIL 21, 2022

Getting precise root cause analysis when dealing with several layers of virtualization in a containerized world. At every step, Dynatrace provides integrations, precise root-cause analysis, and pinpoint precision fueled by AI and automation. Too much data requested from a database. Missing caching layers. Reliability.

Azure 193

Azure Monitoring Virtualization Metrics 193

Percona

NOVEMBER 9, 2023

With this data, we’ll be able to better understand and tune our Postgres servers. The main idea is to be able to easily detect what the server is doing at any point in time so we can better understand how it reacts to the workload and tune accordingly. You can search the blog for more information on this if needed.

Monitoring 87

Monitoring Tuning Metrics Servers 87

Smashing Magazine

AUGUST 3, 2023

Time To First Byte (TTFB) This is the time it takes for the first piece of information from the server to reach the user’s browser. You need to beware that slow server response times can significantly increase TTFB, often due to server overload, network issues, or un-optimized logic on the server side.

Performance 75

Performance Cache Traffic Metrics 75

SQL Performance

JUNE 8, 2022

When the parser allows simple parameterization to continue, SQL Server® increments the Auto-Param Attempts/sec counter of the SQL Statistics object. As in previous parts, code examples use the Stack Overflow 2010 database on SQL Server 2019 CU 16 with the following additional nonclustered index: CREATE INDEX [ IX dbo.

Cache 54

Cache Servers Database Processing 54

SQL Performance

MARCH 30, 2021

This five-part series takes a deep dive into the way SQL Server row mode parallel plans start up. To provide a concrete basis for the analysis, we will follow how a particular parallel query starts execution. I used the public Stack Overflow 2013 database ( download details ). It can be downloaded at the same link.

Cache 98

Cache Servers Operating System Processing 98

The Morning Paper

FEBRUARY 20, 2020

The motivation is not that inference will perform better inside the database, but that the database is the best place to take advantage of enterprise features (transactions, security, auditing, HA, and so on). These pipelines are stored directly in the database. Static analysis and the IR. An INSERT INTO model.

Processing 72

Processing Hardware Database Azure 72

SQL Performance

AUGUST 4, 2022

To recap: Normalization and decoding promote cached plan reuse. Let’s now continue following the compilation process to see how SQL Server decides if simple parameterization is safe or unsafe. Opportunities may also arise as database CHECK constraints are incorporated in the logical tree during simplification.

Servers 61

Servers Cache Database Availability 61

Percona

MARCH 20, 2023

When deciding what to pick, there are many things to consider, like where the proxy needs to be, if it “just” needs to redirect the connections, or if more features need to be in, like caching and filtering, or if it needs to be integrated with some MySQL embedded automation. Instead, an analysis needs to be done.

Games 119

Games Latency Traffic Cache 119

The Netflix TechBlog

MARCH 5, 2019

the order of the rows on your Netflix home page, issuing content licenses when you click play, finding the Open Connect cache closest to you with the content you requested, and many more). A majority of the Netflix product features are either partially or completely dependent on one of our many micro-services (e.g.,

Infrastructure 184

Infrastructure Cloud Scalability AWS 184

SQL Performance

APRIL 13, 2020

His version can be used for the plan cache – the only challenge there is the information is transient, so you may not capture every query that uses a particular index. value ( '(@Database) [1 ]' , 'varchar(128)' ) AS DatabaseName , obj. value ( '(@StatementText) [1 ]' , 'varchar(max)' ) AS SQL_Text , obj. nodes ( '.

Tuning 137

Tuning Cache Metrics Testing 137

Smashing Magazine

SEPTEMBER 20, 2021

We think of web scraping as a tool used to harvest web content for information analysis purposes, sometimes to the detriment of the site owner. When your content is delivered by other means, from other servers or platforms, it can put the user experience and commercial relationship you have built up with your users at risk. Ken Harker.

Website 91

Website Analytics Cache Google 91

ScaleOut Software

NOVEMBER 24, 2020

It sends messages over the cell network to the telematics system, which uses its compute servers (that is, web and application servers) to store incoming messages as snapshots in an in-memory data grid , also known as a distributed cache. The results of batch analysis are typically produced after an hour’s delay or more.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

The Morning Paper

SEPTEMBER 10, 2019

Broadly, these can be categorized as: reporting and dashboarding, embedded statistics in pages, time-series monitoring, and ad-hoc analysis. Ad-hoc analysis use cases support internal teams performing complex ad-hoc analyses to understand usage trends and determine how to improve products. Cache all the things.

Analytics 75

Analytics Latency Cache Google 75

SQL Performance

NOVEMBER 18, 2019

Migrating an on-premises SQL Server instance to an Azure Virtual Machine (VM) is a common method to migrate to Azure. The various types are: General purpose – Balanced CPU-to-memory ratio, small to medium databases. Compute optimized – High CPU-to-memory ration, medium traffic web servers and application servers.

Azure 76

Azure Benchmarking Storage Virtualization 76

MachMetrics

DECEMBER 14, 2019

How fast is the average time to first byte (server delay)? How long is the average server delay? It is typically reduced via server-side optimizations, such as enabling caching and database indexes. In the analysis, the average TTFB speed was found to be 1.28 How fast is the average page load time in 2020?

Best Practices 105

Best Practices Speed Mobile Google 105

Dynatrace

SEPTEMBER 17, 2019

REDIS for caching. Another important view is the historical data across all nodes, which allows administrators to spot deployment imbalances as well as under or overprovisioned nodes: The node analysis view makes it easy to spot deployment imbalances as well as misconfigured and unhealthy nodes. #3 NGINX as an API Gateway.

AWS 128

AWS Monitoring Ecommerce Lambda 128

The Morning Paper

MARCH 10, 2020

The tracing, replay, and analysis tools developed for this work are released in open source as part of the latest RocksDB release , and the new benchmark is now part of the db_bench benchmarking tool. All cache read misses and all writes go through UDB servers, with SQL queries being converted into RocksDB queries. Query volume.

Benchmarking 59

Benchmarking Storage Cache Open Source 59

SQL Performance

MAY 16, 2019

Without this guarantee, SQL Server might add index rows that are not sorted correctly, which would not be good. For INSERT.SELECT , SQL Server makes its own determination whether to ensure rows are presented to the Clustered Index Insert operator in key order or not. DMLRequestSort Conditions.

Cache 67

Cache Servers Testing Storage 67

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? Treo Sites provides competitive analysis based on real-world data. Large preview ). What does it mean?

Performance 145

Performance Cache Network Metrics 145

Brendan Gregg

FEBRUARY 9, 2018

This overhead can be reduced by A) pcid, fully available in Linux 4.14, and B) Huge pages. - **Cache access pattern**: the overheads are exacerbated by certain access patterns that switch from caching well to caching a little less well. At 50k syscalls/sec per CPU the overhead may be 2%, and climbs as the syscall rate increases.

Performance 75

Performance Benchmarking Cache Tuning 75

Smashing Magazine

MAY 12, 2022

As I previously mentioned, my primary data source for this analysis is Google CrUX. CrUX is a cloud-based database into which Real User Measurements (RUM) are collected from live Chrome browser sessions. In addition to performance scores, the Technology Report enables analysis of resource download sizes. Large preview ).

Google 130

Google Performance Website Mobile 130

SQL Performance

MARCH 8, 2021

SQL Server 2014 SP2 and later produce runtime (“actual”) execution plans that can include elapsed time and CPU usage for each execution plan operator (see KB3170113 and this blog post by Pedro Lopes). SQL Server makes some timing adjustments in parallel plans to promote consistency, but they are not perfectly implemented. TheYear , CA.

Servers 95

Servers Tuning Architecture Performance 95

Brendan Gregg

JANUARY 17, 2018

It is used for capacity planning and scalability analysis. Here is a MySQL database server (mysqld), PID 423, and measuring its working set size for 0.1 Short durations can be useful for understanding how well a WSS will fit into the CPU caches (L1/L2/L3, TLB L1/L2, etc). That's the working set size. 16.570 403.66

Cache 71

Cache Latency C++ Programming 71

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. By instrumenting both the client-side of a request and the server-side it’s possible to figure out wait times. Seer is also tested on a 100-server GCE cluster with the Social Network microservices application.

Big Data 45

Big Data Cloud Performance Hardware 45