Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines.

Open Source 337

Open Source Java Operating System Programming 337

Scalegrid

JANUARY 5, 2024

The DBMS is key to maintaining these aspects by offering a storage system that allows users to perform operations such as data insertion, deletion, and selection, thereby promoting enhanced data integration across diverse applications and platforms. In a DBMS, data serves as the material which the system stores, structures, and controls.

Efficiency 147

Efficiency Storage Database Scalability 147

Percona

DECEMBER 23, 2022

I wrote this post on MyRocks because I believe it is the most interesting new MySQL storage engine to have appeared over the last few years. 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. The following figure illustrates the impacts. Conclusion.

Storage 55

Storage Cache C++ Virtualization 55

Percona

JULY 25, 2023

After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. Initializing a DD engine and the cache adds complexity and other server dependencies. Essentially LRU cache is disabled by loading the tables as non-evictable.

Cache 85

Cache Benchmarking Servers Design 85

Smashing Magazine

SEPTEMBER 28, 2022

An SSR application will generally have templating engines that inject the variables into an HTML when given to the client. Active Memory Caching. When you want to get data that you already had quickly, you need to do caching — caching stores data that a user recently retrieved. Caching Schemes.

Cache 125

Cache Performance Servers Social Media 125

Percona

JANUARY 9, 2023

Also, we find a difference in execution on InnoDB and MyISAM engines. NOTE : All tests were applied for MySQL version 8.0.30, and in the background, I ran every query three to five times to make sure that all of them were fully cached in the buffer pool (for InnoDB) or by the filesystem (for MyISAM).

Cache 76

Cache Engineering Storage Speed 76

HammerDB

APRIL 19, 2023

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For storage, FIO is generally used. Storage: The system has a SATA drive for the operating system and one NVMe (Intel SSD D7-P5510 (3.84 Database: MySQL 8.0.31

Performance 54

Performance Benchmarking Cache Storage 54

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. VictoriaMetrics maintains an in-memory cache for mapping active time series into internal series IDs. 25 Bytes, or you should plan storage roughly between 500 GB – one TB for a default 30 day retention period.

Monitoring 98

Monitoring Scalability Cache Database 98

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. query cache: Disable (query_cache_size: 0, query_cache_type:OFF) innodb_adaptive_hash_index: Check adaptive hash index usage to determine its efficiency.

Performance 104

Performance Monitoring Traffic Database 104

Percona

SEPTEMBER 1, 2023

Inadequate CPU, memory, or storage can lead to bottlenecks and performance degradation, so remedying these issues involves upgrading hardware or optimizing resource utilization through query and server configuration adjustments. Avoid over-indexing, which can bloat storage and slow writes.

Tuning 52

Tuning Database Performance Hardware 52

SQL Server According to Bob

NOVEMBER 8, 2016

Note: We received feedback that there was some confusion on us calling this functionality “tail of the log caching” because our documentation and prior history has referred to the tail of the log as the portion of the hardened log that has not been backed up. Block storage is what you think of today as disk access.

Cache 40

Cache Servers Media Storage 40

Brendan Gregg

APRIL 14, 2022

I've worked with awesome colleagues not just in cloud engineering, but also in open connect, studio, DVD, NTech, talent, immigration, HR, PR/comms, legal, and most recently ANZ content. It was difficult and fascinating work. I've also created internal training materials and classes, apart from my books.

Java 145

Java Cloud Cache AWS 145

Brendan Gregg

FEBRUARY 28, 2023

link] 2021 - [Trader 21] Tiffany Trader, “Cerebras Second-Gen 7nm Wafer Scale Engine Doubles AI Performance Over First-Gen Chip ,” [link] Apr 2021 - [Ghigoff 21] Yoann Ghigoff, et al., "BMC:

Performance 110

Performance Latency Cache Virtualization 110

Dynatrace

SEPTEMBER 13, 2023

These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 240

AWS Efficiency Azure Cloud 240

The Netflix TechBlog

NOVEMBER 3, 2022

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. When a new leader is elected it loads all data from external storage. The cache is kept in sync with the current leader process.

Cache 224

Cache Latency Traffic Systems 224

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. REDIS for caching. Dynatrace not only visualizes this and more data, but our deterministic AI engine – Davis – automatically detects anomalies across all monitored and observed entities: hosts, containers, services, proxies, end users and more. NGINX as an API Gateway. 3 Log Analytics.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Percona

JUNE 4, 2023

MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB. InnoDB, the default engine, is known for its excellent transactional capabilities. as an example.

Open Source 52

Open Source Servers Storage Scalability 52

The Morning Paper

MARCH 10, 2020

This benchmark can synthetically generate more precise key-value queries that represent the reads and writes of key-value stores to the underlying storage system. The paper examines three different uses of RocksDB at Facebook: UDB , the underlying storage engine for the MySQL databases storing the social graph data.

Benchmarking 59

Benchmarking Storage Cache Open Source 59

Dynatrace

NOVEMBER 5, 2019

AI engine, Davis – Automatically processes billions of dependencies to serve up precise answers; rather than processing simple time-series data, Davis uses high-fidelity metrics, traces, logs, and real user data that are mapped to a unified entity. AI engine to detect anomalies and perform root-cause analysis, enabling AIOps.

Azure 135

Azure Artificial Intelligence Metrics Innovation 135

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

Brendan Gregg

FEBRUARY 28, 2023

link] , 2021 [Trader 21] Tiffany Trader, “Cerebras Second-Gen 7nm Wafer Scale Engine Doubles AI Performance Over First-Gen Chip ,” [link] , Apr 2021 [Ghigoff 21] Yoann Ghigoff, et al.,

Performance 52

Performance Latency Cache Virtualization 52

Smashing Magazine

JUNE 18, 2020

More specifically, we’re going to talk about storage and UI differences, which are the ones that most often cause confusion to developers when writing Flutter code that they want to be cross-platform. Example 1: Storage. Secure Storage On Mobile. The situation when it comes to mobile apps is completely different.

Storage 93

Storage Mobile Website Java 93

Brendan Gregg

APRIL 14, 2022

I've worked with awesome colleagues not just in cloud engineering, but also in open connect, studio, DVD, NTech, talent, immigration, HR, PR/comms, legal, and most recently ANZ content. It was difficult and fascinating work. I've also created internal training materials and classes, apart from my books.

Java 52

Java Cache Cloud AWS 52

The Morning Paper

FEBRUARY 23, 2020

AnyLog wants to do for structured (relational) data what the Web has done for unstructured data, with coordinators playing the role of search engines. Coordinators are servers that receive queries and return results (search engines). This comes in the form of micropayments. Coordinators that don’t want to pay contractors?

Blockchain 94

Blockchain Internet Internet IoT 94

All Things Distributed

DECEMBER 18, 2012

Jul 4 - Leases: An efficient fault-tolerant mechanism for distributed file cache consistency , Gray, Cary, and David Cheriton, Vol. Aug 24 - The Five-Minute Rule Ten Years Later, and Other Computer Storage Rules of Thumb , Jim Gray and Goetz Graefe, ACM SIGMOD Record 26 (4): 63â??68, Saltzer, D. Reed, and D. Lorie, G.F. Nijssen ed.,

Operating System 144

Operating System Cache AWS Scalability 144

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 89

Website Analytics Google Cache 89

Smashing Magazine

NOVEMBER 2, 2021

Following from the above, an undeniable strength of PWAs, when compared to native applications, is that their pages are findable via search engines. For instance, the product pages of an e-commerce store’s native app don’t come in sight of search engines. You need a site for that. Below is an example of the Netatmo PWA.

Code 74

Code Cache Retail Mobile 74

The Morning Paper

JUNE 16, 2019

If we do that naively though, we’re going to end up with a lot of universes to store and maintain and the storage requirements alone will be prohibitive. The amount of computation required on a base update can be reduced by sharing computation and cached data between universes. Prototype evaluation.

Database 90

Database Cache Benchmarking Efficiency 90

SQL Performance

OCTOBER 20, 2022

The engine processes the row through parent operators before releasing the shared lock prior to locking and reading the next row. When the engine chooses page-level locking granularity, it takes and holds a shared page lock while processing rows on the current page and then releases the lock right before acquiring a lock on the next page.

Testing 91

Testing Servers Cache Engineering 91

All Things Distributed

AUGUST 17, 2011

As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. Jekyll in written in Ruby and uses YAML for metadata management and uses the Liquid template engine to manipulate the content. At werner.ly Syndication.

Servers 126

Servers Social Media AWS Website 126

All Things Distributed

DECEMBER 5, 2010

There is more than one Werner Vogels in this world and although I never get emails, snail mail or phones calls for any of my peers, I am sure they are somewhat frustrated if they type in our name in a search engine :-). There are two main types of DNS servers: authoritative servers and caching resolvers. At werner.ly Syndication.

Cloud 117

Cloud Internet Internet AWS 117

The Netflix TechBlog

SEPTEMBER 24, 2021

From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud 237

Cloud Media Storage Cache 237

SQL Server According to Bob

JUNE 3, 2016

Ryan Stonecipher – Principle SQL Server Software Engineer. Bob Dorr – Principal SQL Server Escalation Engineer. Note: You may need to execute the dbcc a second time so buffer cache is hot, eliminating I/O sub-system variants. 32GB RAM, 4 Core Hyper-threaded enabled 2.8Ghz, SSD Storage. or newer release.

Hardware 40

Hardware Cache Servers Software Engineering 40

The Morning Paper

NOVEMBER 19, 2019

Local-first apps keep their data in local storage on each device, but the data is also synchronised across all the devices on which a user works. You can take incremental steps towards a local-first future by following these guidelines: Use aggressive caching to improve responsiveness. It should work across multiple devices.

Cloud 83

Cloud Software Software Internet 83

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Advanced monitoring techniques enable you to identify potential issues, such as high latency, CPU utilization, command throughput, and cache hit rate before they become major problems.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

Serverless 273

Serverless AWS Lambda Storage 273

SQL Server According to Bob

AUGUST 8, 2016

The local SSD used for Buffer Pool Extension is WARM because it is commonly faster than going to the stable storage (COLD, Disk.). If you study a CPU you will find various cache levels (L1, L2, …) In fact, the further away from the CPU the colder the memory is considered. Bob Dorr – Principal Software Engineer SQL Server.

Cache 40

Cache Energy Database Servers 40