Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. What Exactly is Greenplum? At a glance – TLDR. Open Source.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 7, 2021

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Scalability. Finally, there’s scalability. Serverless architecture offers several benefits for enterprises. Simplicity.

Serverless 269

Serverless AWS Lambda Storage 269

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Sharded time-series collections for improved scalability and performance. You should also review your hardware resources, how you use MongoDB, and any custom configurations.

Best Practices 85

Best Practices Hardware Tuning Scalability 85

Dynatrace

SEPTEMBER 30, 2021

Like any move, a cloud migration requires a lot of planning and preparation, but it also has the potential to transform the scope, scale, and efficiency of how you deliver value to your customers. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience. Here are three.

Cloud 158

Cloud Traffic Best Practices Strategy 158

Dynatrace

MAY 5, 2020

Tasks such as hardware provisioning, database setup, patching, and backups are fully automated, making Amazon RDS cost efficient and scalable. When a problem arises, the Dynatrace Davis AI causation engine shows you how applications impact your databases and how you can resolve issues. Next steps.

Design 139

Design AWS Education Innovation 139

Dynatrace

SEPTEMBER 29, 2021

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. The time and effort saved with testing and deployment are a game-changer for DevOps.

Open Source 290

Open Source Traffic DevOps Cloud 290

Scalegrid

DECEMBER 21, 2023

This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output.

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? How does AWS Lambda work?

Lambda 173

Lambda AWS Serverless Hardware 173

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. It also supports the flexibility and scalability of the database infrastructure.

Availability 105

Availability Database Open Source Hardware 105

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. Key features Multi-table storage : Unlike file-per-table tablespaces, which store each table in a separate file, general tablespaces can house numerous tables, enhancing storage efficiency.

Storage 85

Storage Engineering Database Hardware 85

The Morning Paper

NOVEMBER 15, 2020

Improving the efficiency with which we can coordinate work across a collection of units (see the Universal Scalability Law ). FPGAs are chosen because they are both energy efficient and available on SmartNICs). The Full Matcher runs on the CPU, polling a ring buffer populated by the DMA Engine.

Servers 128

Servers Hardware Latency Design 128

Percona

DECEMBER 27, 2023

The field of Platform Engineering has witnessed significant advancements, as evidenced by the publication of the CNCF platform whitepaper and the introduction of a dedicated Platform Engineering day at the upcoming KubeCon event. They also remove toil and allow engineers to focus on application development vs platform engineering work.

Cloud 77

Cloud Open Source Strategy Best Practices 77

Dynatrace

OCTOBER 28, 2020

This enables organizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort. There’s a more efficient way with Dynatrace. The next day, your engineering team can have a detailed look at the underlying data, including Session Replay, from the user’s perspective.

Monitoring 143

Monitoring Systems Infrastructure Cloud 143

Percona

SEPTEMBER 1, 2023

Scalability is a significant concern, as databases must handle growing data volumes and user demands while maintaining peak performance. Vertical scaling is also often discussed, which involves increasing the resources of a single server, which can have limitations in hardware capabilities and become costly as demands grow.

Best Practices 71

Best Practices Traffic Database Servers 71

Dynatrace

DECEMBER 20, 2019

There’s a more efficient way with Dynatrace! Davis , the AI causation engine, continuously analyzes billions of dependencies and automatically surfaces problems, including their root causes and business impact. You can’t keep pace by simply upgrading to the latest hardware and updating to the latest release twice a year.

Infrastructure 133

Infrastructure Cloud Monitoring Government 133

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

Dotcom-Montior

NOVEMBER 24, 2021

Within an organization, the responsibility of monitoring these large distributed systems typically falls on site reliability engineering (SRE) teams. Software and hardware components are autonomous and execute tasks concurrently. Scalability. Types of Distributed Systems. State is distributed through the system. Concurrency.

Systems 74

Systems Monitoring Hardware Network 74

ACM Sigarch

APRIL 26, 2018

With its modular architecture, DLA is scalable, highly configurable, and designed to simplify integration and portability. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. Compared with Google Pixel 1, the HDR photography is accelerated by 5x and the power efficiency increased by 10x.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. These factors meant that often when looking for database performance information, the results for a particular combination of software and hardware were not available. What is HammerDB? Why HammerDB was developed.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

FEBRUARY 24, 2023

Making the use of resources efficiently and ensuring that this does not impact the budget available for cloud computing is not a one-time fix but a continuous cycle of picking properly sized resources and eliminating over-provisioning. Over-provisioned instances may lead to unnecessary infrastructure costs.

Cloud 116

Cloud Serverless AWS Storage 116

Percona

AUGUST 5, 2023

Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. Various partition types, like RANGE, LIST, HASH, and KEY, are used for specific needs, from range-based data to custom criteria, to ensure efficient data handling and the optimization of queries.

Strategy 40

Strategy Storage Database Best Practices 40

Dotcom-Montior

DECEMBER 8, 2021

In the world of a site reliability engineer (SRE) , failure is not only an option, but also expected. In a different article, we talked about chaos engineering and how SRE teams proactively seek out and test for failures to prevent the worst from happening. Systems, web applications, servers, devices, etc., It is an unavoidable fact.

Social Media 90

Social Media Monitoring Latency DevOps 90

Testsigma

SEPTEMBER 9, 2021

Resources can be any element i.e., hardware, software, or infrastructure which are necessary to carry out tests. With Testsigma, test engineers, QA teams, and business users can create, run and maintain automated tests easily so you can build high-quality applications faster. Scalable – reduce or expand according to your needs.

Cloud 59

Cloud Testing Mobile Scalability 59

Testsigma

JULY 3, 2021

More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. For certain situations that don’t require scalability, on-premise testing can be cost-effective. . Honestly, this is not time-effective at all if you’re aiming for efficiency and speed.

Cloud 57

Cloud Testing Storage DevOps 57

The Morning Paper

SEPTEMBER 19, 2019

AliGraph covers Alibaba’s distributed graph engine supporting the development of new GNN applications. It handles an order of magnitude more throughput than a prototype built on a stream processing engine. Could it be Analyzing efficient stream processing on modern hardware ? for machine generated emails sent to humans).

Blockchain 46

Blockchain Hardware Google Analytics 46

Abhishek Tiwari

JULY 12, 2018

These data pipelines can process data at petabytes scale and to some extent, their success can be attributed to an army of engineers devoted to build and maintain internal data pipelines. Not everyone is operating at Netflix or Spotify scale data engineering function. A data pipeline is a software which runs on hardware.

Latency 63

Latency Analytics Scalability Engineering 63

O'Reilly Software

APRIL 4, 2018

The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. The output expectations will assist in the choice of processing engine while the process tolerance will add restrictions in terms of processing semantics and error handling. At least once? At most once?

Architecture 80

Architecture Scalability Google Operating System 80

Highly Scalable

APRIL 2, 2012

Categories can contain thousands of products and user cannot efficiently search though this array without powerful tools. The rationale behind these methods is that frontend should be able to fetch transient information very efficiently and separately from fetching of heavy-weight domain entities because this information cannot be cached.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

Testsigma

JANUARY 30, 2021

Each smartphone comes with various screen sizes and resolutions, operates on different network speeds, and has different hardware capabilities. Test how user-friendly an application is: Google search engine gives high priority to websites in comparison to desktop apps. Signup for a free trial of Testsigma and see it for yourself.

Mobile 52

Mobile Testing Website Internet 52

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. Modularity and flexibility.

Big Data 154

Big Data Processing Lambda Database 154

Percona

DECEMBER 14, 2022

But while eminently capable of performing OLAP, it’s not quite as efficient. The CITUS columnar extension is just one part of a larger set of capabilities of this extension that when fully implemented creates a fully scalable distributed Postgres database system. As an RDBMS, PostgreSQL is geared more toward OLTP than OLAP operations.

Database 91

Database Analytics Storage Processing 91

Percona

AUGUST 15, 2023

Since I’ve been working on the Solution Engineering team, I’ve noticed that – although information is plentiful – replication is often misunderstood or incompletely understood. However, there are many parameters influencing the efficiency and consistency of the data transfer. What is MySQL Replication?

Servers 52

Servers Database Availability Traffic 52

High Scalability

NOVEMBER 25, 2019

This is a guest post by Kalpesh Patel , an Engineer, who for Egnyte from home. Version7 (Future): Move all compute to the public cloud, carve out more services for impact isolation, dynamic resource pooling to manage pets and cattle efficiently. Egnyte is a Secure Content Platform built specifically for businesses. Introduction.

Architecture 52

Architecture Cache Azure Storage 52

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. The second work presented a novel scalable distributed capability mechanism for security and protection in such systems.

Architecture 12

Architecture Hardware Cache Storage 12

All Things Distributed

MARCH 19, 2018

At AWS, we continue to strive to enable builders to build cutting-edge technologies faster in a secure, reliable, and scalable fashion. While building Amazon SageMaker and applying it for large-scale machine learning problems, we realized that scalability is one of the key aspects that we need to focus on. Streaming algorithms.

Scalability 159

Scalability Hardware AWS Tuning 159

The Netflix TechBlog

DECEMBER 23, 2020

This abstraction allows the compute team to influence the reliability, efficiency, and operability of the fleet via the scheduler. Titus internally employs a cellular bulkhead architecture for scalability, so the fleet is composed of multiple cells. We do this for reliability, scalability, and efficiency reasons.

Media 286

Media Metrics Systems Processing 286