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 184

Metrics Analytics Software Architecture Open Source 184

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

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 197

DevOps Analytics Airlines Metrics 197

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. Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. Kubernetes infrastructure models differ between cloud and on-premises.

Open Source 346

Open Source Java Operating System Programming 346

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

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

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

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

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

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

Scalegrid

JULY 13, 2020

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. Comparison Overview. pg_repack – reorganizes tables online to reclaim storage. PostgreSQL. Scalability.

Open Source 244

Open Source Tuning C++ Database 244

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

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

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

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 134

Tuning Cache Servers Benchmarking 134

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 170

Metrics Tuning Programming Systems 170

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

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

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

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

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 118

Latency Performance Virtualization Infrastructure 118

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

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

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

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

SQL Server According to Bob

MAY 19, 2019

For example, Azure SQL Database Edge can already use TSQL Predict Machine Learning (ML) and Column Storage. Ghost record cleanup can occur inline with the query execution or be queued to a background task for processing. SQL Server can elect to use a parallel query to process the request. Lock Manager. Parallel Queries.

IoT 61

IoT Servers Development Cache 61

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 115

AWS Hardware Traffic Best Practices 115

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. Read/Write latency.

Database 213

Database Latency C++ Scalability 213

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

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

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

DECEMBER 8, 2019

The eagle-eyed reader will have noticed another feature of this work in that quotation: the aim is to create a global address space that spans nodes and processes. The paper concludes with a quick comparison of a KVS written using a modified FreeBSD kernel in the Twizzler-proposed model, and a traditional Unix implementation using files.

Hardware 56

Hardware Programming Media Storage 56

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