Dynatrace

APRIL 21, 2022

Getting precise root cause analysis when dealing with several layers of virtualization in a containerized world. Missing caching layers. Here is a summary of the growing list of Dynatrace integrations for Azure: Compute – Dynatrace OneAgent provides full-stack monitoring for Azure Virtual Machine and Virtual Machine Scale Sets.

Azure 246

Azure Monitoring Virtualization Metrics 246

All Things Distributed

SEPTEMBER 3, 2013

Amazon ElastiCache is a fully managed, in-memory caching service for customers to optimize the latency, performance and cost of their read workloads. We allow customers to provision the number of input and output operations (IOPS) they require by using Amazon RDS with Provisioned IOPS.

Cache 99

Cache Cloud Performance Retail 99

SQL Performance

DECEMBER 17, 2019

One important choice you will still have to make is what type and size of Azure virtual machine you want to use for your existing SQL Server workload. Microsoft currently has eight main types of virtual machines designed for different types of workloads. GHz, 128MB of L3 cache, 128 PCIe 4.0 Azure VM Types and Series. Conclusion.

Azure 72

Azure Virtualization Servers Storage 72

Dynatrace

NOVEMBER 5, 2019

Microsoft offers a wide variety of tools to monitor applications deployed within Microsoft Azure, and the Azure Monitor suite includes several integration points into the enterprise applications, including: VM agent – Collects logs and metrics from the guest OS of virtual machines. Available as an agent installer).

Azure 198

Azure Artificial Intelligence Metrics Innovation 198

DZone

DECEMBER 28, 2020

Virtual Tables. If you're using MySQL or any other SQL-based database, using virtual tables is the best thing that you can do. In that case, you can create virtual tables in your SQL databases, which are sometimes referred as views, and keep all the columns that you want to retrieve from all four tables.

Performance 189

Performance Virtualization Database Processing 189

Dynatrace

APRIL 8, 2019

Virtual machines. Virtual machine scale sets. Redis Cache. Automatic handling of API request throttling to support large-scale environments. OOTB dashboard for a quick overview. Supported services. Azure application services. Azure functions. Load balancer. API management. Application gateway. Service Bus queues and topics.

Azure 150

Azure Monitoring Serverless Virtualization 150

The Netflix TechBlog

SEPTEMBER 10, 2024

The first was voice control, where you can play a title or search using your virtual assistant with a voice command like “Show me Stranger Things on Netflix.” (See For these requests where caching removed KeyValue from the hot path, we were able to greatly speed things up.

Latency 234

Latency Cache Tuning Efficiency 234

The Morning Paper

MARCH 8, 2020

If all data was read from S3 every time, performance would suffer, so of course Snowflake has a caching layer – a distributed ephemeral storage service shared by all the nodes in a warehouse. The caching use case may be the most familiar, but in fact it’s not the primary purpose of the ephemeral storage service. Elasticity.

Storage 112

Storage Engineering Cache Serverless 112

Percona

APRIL 7, 2023

But since retrieving data from disk is slow, databases tend to work with a caching mechanism to keep as much hot data, the bits and pieces that are most often accessed, in memory. In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 145

Tuning Cache Servers Benchmarking 145

High Scalability

OCTOBER 3, 2019

The demand for Redis is skyrocketing across dozens of use cases, particularly for cache, queues, geospatial data, and high speed transactions. Redis, the #1 key-value store and top 10 database in the world, has grown by over 300% in popularity over that past 5 years, per the DB-Engines knowledge base.

Azure 23

Azure Cloud Open Source Cache 23

The Morning Paper

SEPTEMBER 24, 2020

Static analysis of Java enterprise applications: frameworks and caches, the elephants in the room , Antoniadis et al., Instead, analyses expect their users to provide customization for web applications, which is a significant burden, virtually never overcome in practice. PLDI’20. Introducing JackEE.

Java 80

Java Cache Benchmarking Programming 80

Percona

OCTOBER 2, 2023

virtual = 2.2G Caches | 12.4G virtual = 2.2G Caches | 12.4G 2004l# Percona Toolkit System Summary Report ###################### Date | 2023-09-25 14:43:34 UTC (local TZ: CDT -0500) Hostname | testbox Uptime | 44 min, 1 user, load average: 0.47, 0.67, 0.57 Platform | Linux Release | Ubuntu 22.04.3 Shared | 475.0M

Cache 114

Cache Database Virtualization Servers 114

Dynatrace

DECEMBER 15, 2020

Resolved IIS crash on RUM activity interactions (user caching is now disabled if UEM is enabled). Citrix Profile Management now correctly indicated as Citrix Common technology, instead of Citrix Virtual Delivery Agent (VDA). ONE-49694). ONE-45777). APM-269331). APM-265940). ONE-50749). Plugin module.

Operating System 165

Operating System Java Mobile Cache 165

Scalegrid

MAY 11, 2024

However, due to its reliance on the virtual memory subsystem, it is not suitable for larger datasets. It uses a filesystem cache and write-ahead log for crash recovery. MongoDB makes use of both the filesystem cache and the WiredTiger internal cache. Compaction operation defragments data files & indexes.

Storage 130

Storage Engineering Cache Database 130

Scalegrid

OCTOBER 2, 2019

The demand for Redis™ is skyrocketing across dozens of use cases, particularly for cache, queues, geospatial data, and high speed transactions. Redis™, the #1 key-value store and top 10 database in the world, has grown by over 300% in popularity over that past 5 years, per the DB-Engines knowledge base.

Azure 100

Azure Availability Open Source Virtualization 100

ScaleOut Software

MAY 15, 2014

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. One or more specified cache servers are unavailable, which could be caused by busy network or servers. …). Please retry later.

Cache 40

Cache Servers Network Design 40

SQL Performance

APRIL 8, 2019

Back on December 5, 2017, Microsoft announced that they were using AMD EPYC 7551 processors in their storage-optimized Lv2-Series virtual machines. The L3 cache size is 64MB. The L3 cache size is 64MB. The key specifications for the Lsv2 series virtual machines are shown in Table 1. lanes for I/O connectivity.

Azure 42

Azure Virtualization Storage Benchmarking 42

Brendan Gregg

FEBRUARY 28, 2023

Titus, the Netflix container management platform, is now open source,” [link] Apr 2018 - [Cutress 19] Dr. DDR6: Here's What to Expect in RAM Modules,” [link] Nov 2020 - [Salter 20] Jim Salter, “Western Digital releases new 18TB, 20TB EAMR drives,” [link] Jul 2020 - [Spier 20] Martin Spier, Brendan Gregg, et al.,

Performance 103

Performance Latency Cache Virtualization 103

Percona

MARCH 17, 2023

Virtual Memory utilization was averaging 48 GB of RAM. VictoriaMetrics maintains an in-memory cache for mapping active time series into internal series IDs. Capacity planning and setup details We used a dedicated 32-core CPU and 64GB of RAM for our testing. The CPU usage averaged 24% utilization, as you can see in the above picture.

Monitoring 117

Monitoring Scalability Database Cache 117

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. And for leaf routines (which never establish a frame), this is a non-issue.

Java 137

Java Cache Google Hardware 137

n0derunner

JUNE 28, 2019

The Linux VM running postgres has two virtual disks – one taking transaction log writes. Since the DB is small (50% the size of the Linux RAM) – the database is mostly cached on the read side – so we only see writes going to the DB files. In this example from prior post.

Benchmarking 75

Benchmarking Storage Cache Database 75

HammerDB

JUNE 27, 2022

An important concept was to simulate database users called Virtual Users in parallel (rather than concurrently) to accurately simulate a real database workload with multiple users running from separate systems. Cached vs Scaled Workloads. The workload also outputted the data from the Virtual Users by simulating individual terminals.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

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. Microsoft has helped simplify things by creating multiple types of virtual machines. Memory optimized – High memory-to-CPU ratio, relational database servers, medium to large caches, and in-memory analytics.

Azure 76

Azure Benchmarking Storage Virtualization 76

Percona

SEPTEMBER 1, 2023

Exploring How Triggers Impact MySQL Memory Allocation MySQL stores active table descriptors in a special memory buffer called the table open cache. These table cache instances could be accessed concurrently, allowing DML to use cached table descriptors without locking each other.

Cache 75

Cache Database Games Healthcare 75

Percona

DECEMBER 23, 2022

The use case is the TPC-C benchmark but executed not on a high-end server but on a lower-spec virtual machine that is I/O limited like for example, with AWS EBS volumes. I decided to use a virtual machine with two CPU cores, four GB of memory, and storage limited to a maximum of 1000 IOPs of 16KB. InnoDB and MyRocks dataset sizes.

Storage 56

Storage Cache C++ Virtualization 56

Randon ASCII

JULY 11, 2022

Downloads go through the cache, the cache is saved to disk, and saves to disk are slowed by (some) anti-virus software. I’d been testing on a virtual machine in a data center that I had access to, purely because this machine has an internet connection that runs at over 2 Gbps. It looks like this can happen. Case closed.

Cache 105

Cache Energy Google Processing 105

ACM Sigarch

NOVEMBER 1, 2019

GAIA proposed to expand the OS page cache into accelerator memory. The OS page cache serves as a cache for file accesses and plays an important role in core OS services, such as memory-mapped files. A fairly large batch of papers focused on the study of novel OS architectures for systems with accelerators.

Architecture 12

Architecture Hardware Cache Storage 12

Smashing Magazine

JULY 16, 2020

Splitting code assists with the browser’s cache resources and with code that doesn’t change often. Virtualize Long Lists. react-virtualized. Use SplitChunksPlugin to de-duplicate and split chunks. Dynamic imports. Split code via inline function calls within modules. Benefits Of Code Splitting. Conclusion.

Performance 125

Performance Code Virtualization Processing 125

All Things Distributed

OCTOBER 2, 2017

VPC Endpoints give you the ability to control whether network traffic between your application and DynamoDB traverses the public Internet or stays within your virtual private cloud. Secure – DynamoDB provides fine-grained access control at the table, item, and attribute level, integrated with AWS Identity and Access Management.

Internet 111

Internet Internet AWS Performance 111

Percona

SEPTEMBER 28, 2023

Whenever you install your favorite MySQL server on a freshly created Ubuntu instance, you start by updating the configuration for MySQL, such as configuring buffer pool, changing the default datadir director, and disabling one of the most outstanding features – query cache. It’s a nice thing to do, but first things first.

Servers 128

Servers Best Practices Database Open Source 128

Smashing Magazine

SEPTEMBER 20, 2021

Search Engine And Web Archive Cached Results. Another common category of imposter domains are domains used by search engines for delivering cached results or archived versions of page views. The message that appears above a cached search result in Google’s search service. Large preview ). Large preview ).

Website 108

Website Analytics Google Cache 108

Percona

MAY 15, 2023

In both cases, when using virtually-synchronous replication, the process will require certification from each node and local (by node) write; as such, the number of writes is NOT distributed across multiple nodes but duplicated. Because the solutions still rely on writing in one single node that works as Primary.

Traffic 144

Traffic Scalability Database Servers 144

HammerDB

APRIL 19, 2023

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. By default, HammerDB is designed to take advantage of database system caching mechanisms such as buffer caches, query caches, or statement caches.

Performance 55

Performance Benchmarking Cache Storage 55

HammerDB

JULY 5, 2022

Vuser 1:1 Active Virtual Users configured Vuser 1:TEST RESULT : System achieved 1844256 NOPM from 4232155 PostgreSQL TPM Vuser 1:FINISHED SUCCESS ALL VIRTUAL USERS COMPLETE. buff/cache MiB Swap: 2048.0 buff/cache MiB Swap: 2048.0 /hammerdbcli auto pgtime.tcl HammerDB CLI v4.4 Running a single process pre-test. free, 6252.7

Benchmarking 98

Benchmarking Database C++ Virtualization 98

HammerDB

OCTOBER 17, 2018

However most people use HammerDB with keying and thinking time disabled and therefore each virtual user can approximately drive the CPU resources of one CPU core on the database server. By default each virtual user has the concept of a home warehouses where approximately 75% of its workload will take place.

C++ 40

C++ Testing Virtualization Cache 40

Percona

JUNE 22, 2023

High availability works through a combination of the following: No single point of failure (SPOF) : You must eliminate any single point of failure in the database environment, including physical or virtual hardware the database system relies on that would cause it to fail. Each node has its own cache buffer.)

Availability 132

Availability Database Open Source Hardware 132

The Morning Paper

DECEMBER 10, 2019

This is a companion paper to the " persistent problem " piece that we looked at earlier this week, going a little deeper into the object pointer representation choices and the mapping of a virtual object space into physical address spaces. " Epheremal virtual addresses don’t cut it as the basis for persistent pointers.

Hardware 52

Hardware Virtualization Operating System Programming 52