Scalegrid

SEPTEMBER 16, 2019

Provides advanced security for your databases by storing passwords in secured storage protected by a master password. 2019 Comparison Click To Tweet. It has an advanced refactoring process – when you rename a variable or an object, it can resolve all references automatically. Which Is the Best #PostgreSQL GUI? Conclusion.

Open Source 262

Open Source Database Azure Cloud 262

The Morning Paper

AUGUST 29, 2019

My key takeaways as a TL;DR: Store your data in S3 Use portable data format that gives you future flexibility to process it with multiple different systems (e.g. For cost calculations, the costs are a combination of compute costs, storage costs, data scan costs, and software license costs. Key findings. Serverless o?erings

Architecture 76

Architecture Cloud Storage Serverless 76

Percona

JANUARY 19, 2023

Compression: Compression is the process of restructuring the data by changing its encoding in order to store it in fewer bytes. It can help us to save costs on storage and backup times. MyRocks: MyRocks is a storage engine developed by Facebook and made open source. 1 mysql mysql 592K Dec 30 02:48 tb1.ibd ibd -rw-r --.

Open Source 85

Open Source Storage Database Big Data 85

Dynatrace

JUNE 8, 2021

Continuous improvement of services is the most efficient process for all teams that are looking to improve the performance of their applications by considering all layers of their architecture. Similar to an athlete, the objective here is to have teams always push the limits to become faster and stronger.

Metrics 161

Metrics Tuning Programming Systems 161

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice.

Cache 130

Cache Storage Scalability Architecture 130

The Morning Paper

JANUARY 30, 2020

The current system assumes an application specific regression model is available on the servers which can predict processing time given the current parameters of the job (e.g. These use their regression models to estimate processing time (which will depend on the hardware available, current load, etc.). for the wasm-version.

Mobile 104

Mobile Cloud Latency Games 104

All Things Distributed

AUGUST 16, 2012

An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. Total Cost of Ownership. Saving money.

AWS 118

AWS Hardware Traffic Best Practices 118

The Morning Paper

OCTOBER 22, 2019

The authors place it within the overall analysis process like this: That looks a lot more waterfall-like than my experience of reality though. Reason #1 is interesting in as much as if you go looking hard enough you’re bound to find something, as in the well-known multiple-comparisons problem.

Programming 40

Programming Software Engineering Database Analytics 40

Scalegrid

JULY 17, 2020

JSON is faster to ingest vs. JSONB – however, if you do any further processing, JSONB will be faster. JSONB storage has some drawbacks vs. traditional columns: PostreSQL does not store column statistics for JSONB columns. JSONB storage results in a larger storage footprint. whitespace) and ordering of the keys.

Storage 321

Storage Database Efficiency Processing 321

The Netflix TechBlog

JUNE 13, 2023

Replay traffic testing gives us the initial foundation of validation, but as our migration process unfolds, we are met with the need for a carefully controlled migration process. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.

Traffic 279

Traffic Metrics Systems Strategy 279

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. Uploading and downloading data always come with a penalty, namely latency.

Cloud 237

Cloud Media Storage Cache 237

SQL Performance

APRIL 5, 2019

The more violations, the worse the clustered unique index performs by comparison. For a clustered unique index with IGNORE_DUP_KEY set, duplicates are handled by the storage engine. The query processor removes duplicates from the insert stream, ensuring that no duplicates are seen by the storage engine. The trade-off.

Storage 53

Storage Servers Engineering Testing 53

The Netflix TechBlog

FEBRUARY 13, 2023

We accomplish this by paving the path to: Accessing and processing media data (e.g. To streamline this process, we standardized media assets with pre-processing steps that create and store dedicated quality-controlled derivatives with associated snapshotted metadata. either a movie or an episode within a show). mp4, clip1.mp4,

Media 290

Media Storage Infrastructure Systems 290

Scalegrid

JANUARY 8, 2024

ScaleGrid offers solutions that address these difficulties by simplifying administration processes in multi-cloud environments and enabling smooth integration among various cloud platforms. What is the primary benefit of multi-cloud solutions in comparison to hybrid cloud solutions? </p>

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Scalegrid

JUNE 4, 2020

On average, ScaleGrid provides over 30% more storage vs. DigitalOcean for PostgreSQL at the same affordable price. Now, let’s take a look at the throughput and latency performance of our comparison. We measure PostgreSQL throughput in terms of transactions processed. We used 50% reads and 50% writes in this comparison.

Database 230

Database Latency Benchmarking Performance 230

Percona

SEPTEMBER 1, 2023

Character encoding refers to the method used to represent characters as binary data for storage and transmission. How Character Sets Affect Data Storage and Retrieval You can specify the character set for each column when you create a table, indicating the set of characters allowed in that column.

Performance 52

Performance Storage Social Media Database 52

SQL Server According to Bob

MARCH 27, 2017

The difference is that a core dump generally contains the entire memory of the process (user mode) where the Windows Debugger captures contain the faulting thread’s memory and a bit more. When SQL Server is started on Linux the monitoring process (/opt/mssql/bin/sqlservr) is present. Often 10+GB. Description. Smallest dump type.

Servers 40

Servers Virtualization Storage Design 40

Dynatrace

NOVEMBER 4, 2022

When issues arise, teams can’t depend on these tools for quick resolutions, because data comparisons are difficult and contribute to delays. This process combines AI with security and operations. A new approach for the digital age .

Government 147

Government Analytics Cloud Storage 147

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. By default, MongoDB provides a snappy block compression method for storage and network communication.

Storage 105

Storage Network Open Source Latency 105

Dynatrace

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. It collects, processes, and outputs log files to and from a wide variety of technologies. Processing plugins parse (normalize), filter, enrich (tagging), format, and buffer log streams. Adding the Dynatrace plug-in is easy.

Metrics 173

Metrics Analytics Software Architecture Open Source 173

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe.

DevOps 189

DevOps Analytics Airlines Metrics 189

Dynatrace

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. It collects, processes, and outputs log files to and from a wide variety of technologies. Processing plugins parse (normalize), filter, enrich (tagging), format, and buffer log streams. Adding the Dynatrace plug-in is easy.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

CSS - Tricks

DECEMBER 23, 2020

Wouldn‘t it be great if we could integrate Lighthouse testing in the continuous integration process so that the impact of our code changes can be displayed inline with each pull request, and so that we can fail the builds if certain performance thresholds are not net? Once the test has finished running, it shuts down the server process.

Performance 78

Performance Storage Servers Virtualization 78

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” ” (It will be easier to fit in the overhead storage.)

Hardware 101

Hardware Storage Big Data Blockchain 101

Percona

DECEMBER 27, 2022

With transparent data encryption (TDE), the encryption process is transparent to the user, allowing them to access and manipulate the data as usual without worrying about the encryption and decryption process. Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device. PostgreSQL.

Database 92

Database Storage Servers Strategy 92

Percona

MARCH 30, 2023

Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. They’re often preferred for storing and processing business intelligence data by organizations that require fast SQL queries.

Open Source 73

Open Source Database Storage Scalability 73

SQL Performance

NOVEMBER 11, 2020

But there’s another important aspect of CTE optimization, or physical processing, to consider beyond the solution’s performance—how multiple references to the CTE from an outer query are handled. In Batch 1, you can see a comparison between the results of two separate evaluations of the intrinsic function SYSDATETIME.

C++ 122

C++ Code Storage Processing 122

Percona

MAY 2, 2023

The speed of backup also depends on allocated IOPS and type of storage since lots of read/writes would be happening during this process. Back up anywhere – to the cloud (use any S3-compatible storage) or on-premise with a locally-mounted remote file system It allows you to choose which compression algorithms to use.

Best Practices 52

Best Practices Database Storage Servers 52

The Netflix TechBlog

NOVEMBER 2, 2021

Perceptual quality measurements are used to drive video encoding optimizations , perform video codec comparisons , carry out A/B testing and optimize streaming QoE decisions to mention a few. This system is responsible for processing incoming media files, such as video, audio and subtitles, and making them playable on the streaming service.

Media 171

Media Innovation Metrics Latency 171

HammerDB

JUNE 27, 2022

The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here. An additional specification called TPC-CH for hybrid transactional/analytical processing (HTAP) is under research and development for inclusion in a future release as TPROC-CH.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Particular Software

SEPTEMBER 20, 2021

It’s less of an apples-to-oranges comparison and more like apples-to-orange-sherbet. But to be fair, we also have to process the messages on the server before we can consider the messaging case to be complete. As a result, many more messages can be sitting in queues even while the system is processing at peak capacity.

Benchmarking 97

Benchmarking Latency Servers Systems 97

The Netflix TechBlog

FEBRUARY 13, 2020

Also included is a lightweight conversion process back to JPEG format in order to serve clients that only support legacy JPEG. The Alliance for Open Media (AOM) has recently extended this format to specify the storage of AV1-encoded images in its AVIF format.

Code 212

Code Metrics Efficiency Open Source 212

Percona

APRIL 7, 2023

In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. 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 PostgreSQL, it is called shared buffers.

Tuning 135

Tuning Cache Servers Benchmarking 135

IO River

NOVEMBER 2, 2023

Yes, these might change based on localization settings, but in terms of storage, it’s still a completely baked cookie that the server can choose to serve or not serve.Whenever a user clicks on an episode, these bits remain unchanged. Now, let's delve a little deeper. As you engage with a video, it doesn’t stream in real time from the source.

Architecture 52

Architecture Performance Internet Internet 52

Testsigma

DECEMBER 1, 2020

Frameworks are crucial for any automated testing process in a software organization. They not only reduce the testing efforts and maintenance costs but also increase the return on investment (ROI) of an organization who is looking to optimize their agile processes.

Testing 62

Testing Website DevOps Mobile 62

Dynatrace

SEPTEMBER 25, 2019

Therefore, it requires multidimensional and multidisciplinary monitoring: Infrastructure health —automatically monitor the compute, storage, and network resources available to the Citrix system to ensure a stable platform. SAP GUI delivered via Citrix – a process on Citrix VDA. Image callout numbers. Citrix VDA. SAP server. Citrix VDA.

Latency 117

Latency Performance Virtualization Infrastructure 117

Highly Scalable

APRIL 2, 2012

The major architectural decision was to use in-memory data grid (IMDG) to shield the master RDBMS from workload during request processing. The deployment schema includes three types of nodes – processing nodes, storage nodes, and maintenance nodes. Storage nodes are basically Coherence storage nodes.

Ecommerce 100

Ecommerce Cache Storage Architecture 100