High Scalability

FEBRUARY 17, 2021

Redis Server: 5.07, x86/64. MongoDB server: 4.4.2, BangDB server: 2.0.0, Application example: user profile cache, where profiles are constructed elsewhere (e.g., However, user can run the bench for as many numbers as they practically find suitable. About YCSB. Following configurations were used for the evaluation purpose.

Benchmarking 308

Benchmarking Latency C++ Database 308

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 187

Open Source Artificial Intelligence Internet Internet 187

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. Let’s get started. Serverless architecture: A primer. Application integration.

Serverless 269

Serverless AWS Lambda Storage 269

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. However, simply deploying a monitoring tool is not enough; you need to know which Key Performance Indicators (KPIs) to monitor to gain insights into your MySQL server’s health and performance.

Performance 102

Performance Monitoring Traffic Database 102

Dynatrace

MAY 17, 2023

When software runs in a monolithic stack on on-site servers, observability is manageable enough. For the HTTP request, we add the request headers we sent, as well as certain details from the response, such as the status code, the length of the response, and server information.

Metrics 171

Metrics Open Source Traffic Cache 171

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

AUGUST 30, 2019

Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. Impacting Server-Side Requests: Dynatrace allows you to drill into your server-side requests to understand why your business logic is executing slow or fails. Missing retry and failover implementations.

Cache 190

Cache Architecture Database Government 190

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

Tim Kadlec

APRIL 10, 2023

There was a comment on Twitter today from Rafael Gonzaga expressing disappointment in what he sees as a tendency to focus on the frontend solely in performance discussions, while neglecting the server-side aspect. Performance conversations were dominated by discussions around the server-side aspects of performance.

Performance 111

Performance Servers Mobile Metrics 111

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

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers.

Cache 40

Cache Servers Network Design 40

Dynatrace

NOVEMBER 3, 2021

Examples include a spike in memory utilization, a decrease in cache hit ratio, or an increase in CPU utilization. Conventional database performance analysis is simple, though, compared with diagnosing microservice architectures with multiple components and an array of dependencies.

Monitoring 209

Monitoring Metrics DevOps Scalability 209

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. Global memory caches are static in size as they are defined solely by the configuration of the database itself.

Traffic 88

Traffic Cache Monitoring Database 88

Brendan Gregg

MARCH 16, 2024

Only in extreme circumstances does the cost (in processor time and I-cache footprint) translate to a tangible benefit - circumstances which usually resort to hand-coded assembly anyway. It shouldn't be 10%, unless it's cache effects. Back-end servers. The actual overhead depends on your workload.

Java 145

Java Cache Google Hardware 145

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 202

Lambda AWS Serverless Metrics 202

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

Dynatrace

AUGUST 12, 2019

With OneAgent installed on an application server, Davis, the Dynatrace AI causation engine, continuously analyzes all database statements within the context of your applications. When Dynatrace detects that your application is slow due to a database query, you can start your analysis from the application perspective. Dynatrace news.

Database 127

Database Metrics Cache Servers 127

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. Missing caching layers. Understanding resource utilization for cost management.

Azure 178

Azure Monitoring Virtualization Metrics 178

MachMetrics

JUNE 30, 2021

And that includes page load times on mobile devices: The average time it takes to fully load a mobile landing page is 22 seconds, according to a new analysis. The factors that impact on LCP: Slow origin server response times Render-blocking JavaScript and CSS on page load Page Resource load times User side page rendering.

Cache 78

Cache Speed Google Website 78

Dynatrace

NOVEMBER 5, 2019

Dependency agent Installation – Maps connections between servers and processes. User analysis – Adding a JavaScript tag into the applications front end pages enables the collection of front-end load times of the applications. Contextual revenue analysis and uptime reports have never been easier, or more powerful.

Azure 134

Azure Artificial Intelligence Metrics Innovation 134

Percona

SEPTEMBER 1, 2023

Reduced Resource Usage Optimizing resource-intensive queries and configurations can lead to a reduced burden on your server. An improperly configured server may not allocate sufficient resources or be optimized for the specific workload. Query plan analysis can also provide valuable insights.

Tuning 52

Tuning Database Performance Hardware 52

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. ) ; My test environment is SQL Server 2019 CU9 on a laptop with 8 cores and 16GB of memory allocated to the instance.

Cache 98

Cache Servers Operating System Processing 98

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.

Performance 110

Performance Latency Cache Virtualization 110

SQL Performance

AUGUST 23, 2019

In traditional row-mode execution plans, SQL Server may introduce a Bitmap operator as part of performing early semi join reduction before a parallel hash or merge join. There have been major improvements since the first appearance of the batch mode execution engine in SQL Server 2012. Background. The Query Optimizer. Bitmap Choice.

Servers 75

Servers Engineering Efficiency Retail 75

The Netflix TechBlog

SEPTEMBER 8, 2020

This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI. Latencies The old api service was running on the same “machine” that also cached a lot of video metadata (by design). This meant that data that was static (e.g.

Latency 233

Latency Cache Java Traffic 233

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

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Instead of querying objects from the IMDG and analyzing them in the client, applications can now simply run this analysis within the IMDG itself using APIs available in ScaleOut StateServer Pro.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Instead of querying objects from the IMDG and analyzing them in the client, applications can now simply run this analysis within the IMDG itself using APIs available in ScaleOut StateServer Pro.

Analytics 52

Analytics Airlines Cache Scalability 52

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. Id asc ; GO.

Cache 54

Cache Servers Database Processing 54

Smashing Magazine

JANUARY 11, 2021

Build Optimizations JavaScript modules, module/nomodule pattern, tree-shaking, code-splitting, scope-hoisting, Webpack, differential serving, web worker, WebAssembly, JavaScript bundles, React, SPA, partial hydration, import on interaction, 3rd-parties, cache. Treo provides competitive analysis based on real-world data.

Performance 145

Performance Cache Media Metrics 145

ACM Sigarch

MAY 31, 2023

Memory disaggregation separates memory pools from traditional server boxes, enabling more flexible resource allocation and potentially reducing costs. There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. The recently announced CXL3.0

Latency 52

Latency Hardware Cache Architecture 52

Dynatrace

APRIL 8, 2020

Finding the root cause of these two garbage collection problems is difficult and, until now, has only been possible via either highly invasive and non-production-ready analysis tools or by simply knowing your application intimately—something that is almost impossible with large applications. . So what’s going on here?

Speed 164

Speed Code Java Lambda 164

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

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. It’s the final step before possibly invoking the full cost-based optimizer (CBO) where alternatives are subject to detailed costing analysis.

Servers 61

Servers Cache Database Availability 61

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 182

Infrastructure Cloud Scalability AWS 182

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. If possible, I'll also consider execution counts (from Query Store or the plan cache) to not just understand what query uses an index, but how frequently that query executes.

Tuning 137

Tuning Cache Metrics Testing 137