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

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

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. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 197

DevOps Analytics Airlines Metrics 197

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 184

Metrics Analytics Software Architecture Open Source 184

Dynatrace

JANUARY 16, 2023

In comparison, on-premises clusters have more and larger nodes: on average, 9 nodes with 32 to 64 GB of memory. That trend will likely continue as Kubernetes security awareness further rises and a new class of security solutions becomes available. Kubernetes infrastructure models differ between cloud and on-premises.

Open Source 346

Open Source Java Operating System Programming 346

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

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. This enables organizations to optimize their use of the variety of available clouds to efficiently meet specific requirements. </p>

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Scalegrid

JULY 13, 2020

Compare PostgreSQL vs. Oracle functionality across available tools, capabilities and services. of PostgreSQL users are currently in the process of migrating to the RDBMS, according to the 2019 PostgreSQL Trends Report , an astounding percentage considering this is the 4th most popular database in the world. Not available.

Open Source 244

Open Source Tuning C++ Database 244

Percona

MARCH 30, 2023

In simple terms, an open source database is this: It’s a database with source code that is free and available to all. Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. What is an open source database?

Open Source 73

Open Source Database Storage Scalability 73

Dynatrace

MAY 9, 2019

Consequently, each new version of OneAgent for Windows consumed double storage space: one for the *.exe This storage space was consumed not only on our own infrastructure but also on each of the Dynatrace cluster nodes in the case of Managed deployments. “How does the new process compare to the old one exactly?”

Storage 116

Storage Tuning Traffic Architecture 116

Percona

JUNE 4, 2023

In this blog, we’ll provide a comparison between MariaDB vs. MySQL (including Percona Server for MySQL ). Introduction: MariaDB vs. MySQL The goal of this blog post is to evaluate, at a higher level, MariaDB vs. MySQL vs. Percona Server for MySQL side-by-side to better inform the decision making process.

Open Source 52

Open Source Servers Storage Scalability 52

Dynatrace

JUNE 8, 2021

Observability is a topic at the top of mind for all architects, Site Reliability Engineers (SREs), and more – each wanting to use observability to proactively detect issues and guarantee the best experience and availability to users. Metric 2 (Number of requests in error): It’s already available in the Dynatrace built-in metric.

Metrics 170

Metrics Tuning Programming Systems 170

Percona

APRIL 7, 2023

MySQL comes pre-configured to be conservative instead of making the most of the resources available in the server. In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. MySQL (B) 2517529 2610323 389048 5516900 194140 11523.48 PostgreSQL (A) 2194763 2275999 344528 4815290 169235 14302.94

Tuning 134

Tuning Cache Servers Benchmarking 134

Percona

JULY 13, 2023

With the rise of globalization, the need to store and process multilingual data has become essential. Here is an example comparison of utf8 and utf8mb4 using MySQL tables and queries: MySQL 5.7 Table: To ensure proper storage of emojis, let’s create the table columns using the utf8mb4 character set.

Database 91

Database Games Open Source Engineering 91

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

CSS - Tricks

DECEMBER 23, 2020

If you don’t use Chrome or Chromium-based browsers, like Microsoft Edge or Brave, you can run Lighthouse through its web interface but it only works with publicly available web pages. Once the CLI has been installed successfully, ru lhci --help to view all the available commands that the tool provides.

Performance 78

Performance Storage Servers Virtualization 78

The Morning Paper

AUGUST 29, 2019

We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems. 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. Key findings.

Architecture 76

Architecture Cloud Storage Serverless 76

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. These factors meant that often when looking for database performance information, the results for a particular combination of software and hardware were not available.

Benchmarking 62

Benchmarking Open Source C++ Cache 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. Synthetic monitoring: Citrix login availability and performance. OneAgent: SAP infrastructure performance.

Latency 118

Latency Performance Virtualization Infrastructure 118

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.). in the cloud).

Mobile 104

Mobile Cloud Latency Games 104

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. It is available under a paid subscription. 1 mysql mysql 592K Dec 30 02:48 tb1.ibd ibd -rw-r --. 1 mysql mysql 464K Dec 30 02:48 tb2.ibd

Open Source 85

Open Source Storage Database Big Data 85

Percona

MAY 2, 2023

Hence, the node would still be available for other operations. Cons of logical backups As it reads all data, it can be slow and will require disk reads too for databases that are larger than the RAM available for the WT cache—the WT cache pressure increases, which slows down the performance. Records backup progress logging.

Best Practices 52

Best Practices Database Storage Servers 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. What is a Framework? When is a Test Automation Framework Beneficial?

Testing 62

Testing Website DevOps Mobile 62

Highly Scalable

SEPTEMBER 18, 2012

Although it can hardly be said that NoSQL movement brought fundamentally new techniques into distributed data processing, it triggered an avalanche of practical studies and real-life trials of different combinations of protocols and algorithms. Read/Write requests are processes with a minimal latency. Data Placement. Fault-tolerance.

Database 213

Database Latency C++ Scalability 213

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This object-oriented approach allows distributed caches to be viewed as more of an extension of an application’s in-memory data storage than as a separate storage tier.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This object-oriented approach allows distributed caches to be viewed as more of an extension of an application’s in-memory data storage than as a separate storage tier.

Cache 52

Cache Storage Servers Database 52

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. EDA in practice: tools.

Programming 40

Programming Software Engineering Database Analytics 40

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. By channeling static video content through these networks, you can avail of their cost-effective structures.

Architecture 52

Architecture Performance Internet Internet 52

SQL Performance

SEPTEMBER 5, 2019

This table uses columnstore for its primary storage to produce batch mode execution later on. Here is the new SUM plan for comparison with the one from the first test: All 102,400 rows (in 114 batches) are emitted by the Columnstore Index Scan , processed by the Compute Scalar , and sent to the Hash Aggregate. c1 = @Start + N.

Performance 81

Performance C++ Storage Servers 81

Smashing Magazine

OCTOBER 22, 2019

You’re going to have to go through this same process whether images come from a stock site or from someone’s DSLR. Instead, you can integrate your existing image server (on your web host) or external storage service (like S3) with ImageKit. There was no need to move their images to ImageKit or another third-party storage service.

Mobile 64

Mobile Media Website Storage 64

Highly Scalable

APRIL 2, 2012

Besides this, each product has some transient information like in-stock availability that is a subject of frequent updates (every 5 minutes or so). It is important that this style of navigation assumes high interactivity – each selection leads to recomputing of all available facets, their cardinalities, and products in a result set.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

The Morning Paper

MAY 28, 2019

The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. The resulting system can integrate seamlessly into a scikit-learn based development process, and dramatically reduces the total energy usage required for classification with very low latency. Introducing race logic.

Energy 52

Energy Hardware Efficiency Architecture 52

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. By channeling static video content through these networks, you can avail of their cost-effective structures.

Architecture 52

Architecture Performance Internet Internet 52

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 283

Traffic Metrics Systems Strategy 283

Alex Russell

APRIL 29, 2021

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. The information it captures is, however, available going back somewhat further, providing a fuller picture of the trend lines of engine completeness. Count of APIs available from JavaScript by Web Confluence.

Media 145

Media Games Education Engineering 145

Highly Scalable

MARCH 1, 2012

In this article I provide a short comparison of NoSQL system families from the data modeling point of view and digest several common modeling techniques. And this was where a new evolution of data models began: Key-Value storage is a very simplistic, but very powerful model. Processing complexity VS total data volume.

Database 279

Database Ecommerce Efficiency Engineering 279

Dynatrace

JANUARY 15, 2020

Having released this functionality in an Preview Release back in September 2019, we’re now happy to announce the General Availability of our Citrix monitoring extension. Synthetic monitoring: Citrix login availability and performance. SAP GUI delivered via Citrix – a process on Citrix VDA. Dynatrace news. Image callout numbers.

Latency 36

Latency Performance Virtualization Infrastructure 36