Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 202

Monitoring Serverless Programming Speed 202

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 201

Monitoring Serverless Programming Speed 201

Scalegrid

JANUARY 5, 2024

It comprises a collection of interrelated data and a set of software tools that aid in the access, processing, and management of data. Types of DBMS DBMS can be classified into hierarchical, network, relational, and object-oriented types. It provides tools for organizing and retrieving data efficiently.

Efficiency 147

Efficiency Storage Database Scalability 147

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

JANUARY 23, 2012

Expanding the Cloud - The AWS Storage Gateway. Today Amazon Web Services has launched the AWS Storage Gateway, making the power of secure and reliable cloud storage accessible from customersâ?? With the launch of the AWS Storage Gateway our customers can now integrate their on-premises IT environment with AWSâ??s

Storage 115

Storage AWS Virtualization Cloud 115

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. Note that my predictions in this talk may be wrong, but they should be thought provoking.

Performance 140

Performance Latency Hardware Storage 140

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. 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. 4.22 %usr 38.40

Performance 54

Performance Benchmarking Cache Storage 54

Percona

JUNE 22, 2023

Another related variable, innodb_buffer_pool_instances, determines the number of buffer pool instances for the InnoDB storage engine, which can improve the performance of multi-core systems by reducing contention on the buffer pool latch. Monitoring these metrics helps ensure data protection, minimize downtime, and ensure business continuity.

Performance 108

Performance Monitoring Traffic Database 108

Scalegrid

JANUARY 25, 2024

It’s important to note that recommended throughput levels may vary depending on factors such as operating system type, network bandwidth availability, and hardware quality. offers the Software Watchdog specifically designed for this purpose. A reduced throughput could generally indicate that the server gets fewer queries.

Metrics 130

Metrics Monitoring Latency Cache 130

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. Note that my predictions in this talk may be wrong, but they should be thought-provoking.

Performance 52

Performance Latency Hardware Storage 52

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

High Scalability

NOVEMBER 14, 2018

New topics range from additional workloads like video streaming, machine learning, and public cloud to specialized silicon accelerators, storage and network building blocks, and a revised discussion of data center power and cooling, and uptime.

Design 54

Design Education Google Internet 54

Dotcom-Montior

OCTOBER 6, 2021

A site reliability engineer, or SRE, is a role that that encompasses aspects of both software engineering and operations/infrastructure. At that time, the team was made up of software engineers. Site reliability engineers bridge the gap between operations and software developers. What are Some Common SRE Responsibilities?

Engineering 67

Engineering DevOps Monitoring Google 67

Abhishek Tiwari

DECEMBER 27, 2017

Over last few years, we have seen several attempts to run data workload in the containers especially distributed big data frameworks like Apache Hadoop, Apache Storm [3] , and Apache Spark [4] [5] without any software modifications. faster access to external storage and data locality (I/O, bandwidth). Storage provisioning.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Software failure: Software applications can become vulnerable, or they can crash altogether.

Database 93

Database Hardware Open Source Strategy 93

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

Scalegrid

FEBRUARY 1, 2024

However, data loss is always possible due to hardware malfunction, software defects, or other unforeseen circumstances, just like with any computer system. The biggest drawbacks are that a full backup can be time-consuming, and they require a significant amount of storage space.

Best Practices 130

Best Practices Storage Strategy Database 130

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.

AWS 118

AWS Hardware Traffic Best Practices 118

All Things Distributed

SEPTEMBER 6, 2013

Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands.

Cloud 129

Cloud Energy AWS Healthcare 129

All Things Distributed

JULY 13, 2010

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 118

Cloud AWS Automotive Latency 118

Dynatrace

AUGUST 11, 2022

Cloud providers then manage physical hardware, virtual machines, and web server software management. Monolithic architectures were commonplace with legacy, on-premises software solutions. Infrastructure as a service (IaaS) handles compute, storage, and network resources. FaaS vs. monolithic architectures.

Development 253

Development Serverless Best Practices Lambda 253

Abhishek Tiwari

JULY 12, 2018

Data Pipeline A data pipeline is a software that ingests data from multiple sources, transforms it and finally makes it available to internal or external products. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

The Netflix TechBlog

NOVEMBER 15, 2022

But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” It supports the industry’s most widely used software applications?—?via

Cloud 282

Cloud Entertainment AWS Infrastructure 282

Dynatrace

NOVEMBER 3, 2022

In fact, according to a Gartner forecast , revenue for global container management software and services will reach $944 million in 2024 — up from $465.8 With the significant growth of container management software and services, enterprises need to find ways to simplify the process. million in 2020. Easy scalability. Faster deployment.

Serverless 219

Serverless Azure Hardware Transportation 219

Scalegrid

DECEMBER 21, 2023

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

OCTOBER 18, 2023

Limited toolset and features Another challenge that organizations may face when considering open source is the perception that community software versions have a limited set of features. Security and risk The question “ Is Open Source software safe?

Open Source 97

Open Source Database Hardware Strategy 97

High Scalability

OCTOBER 24, 2022

Limit the cloud services a cloud provider can offer and you limit the quality of the software we can build. Each cloud-native evolution is about using the hardware more efficiently. Building software is not moving freight. It would make the job of building quality software even harder and slower and more expensive.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

Dynatrace

NOVEMBER 11, 2020

Easier rollout thanks to log storage best practices. Easier rollout thanks to log storage best practices. The /opt directory is typically used for deployment of additional software running on the Unix system. Advanced customization of OneAgent deployments made easy. What does this mean for existing installations?

Best Practices 199

Best Practices Storage Java Benchmarking 199

Percona

AUGUST 22, 2023

Some of the most important elements include: No single point of failure (SPOF): You must eliminate any SPOF in the database environment, including any potential for an SPOF in physical or virtual hardware. Without enough infrastructure (physical or virtualized servers, networking, etc.), there cannot be high availability.

Availability 83

Availability Hardware Open Source Database 83

Brendan Gregg

NOVEMBER 29, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 111

Virtualization AWS Hardware Storage 111

Dynatrace

DECEMBER 8, 2021

Many customers try to use traditional tools to monitor and observe modern software stacks, but they struggle to deal with the dynamic and changing nature of cloud environments. ” A monolithic software application has a few properties that are important to understand. How observability works in a traditional environment.

Cloud 228

Cloud Serverless Hardware Operating System 228

Dynatrace

NOVEMBER 15, 2021

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Logs can include data about user inputs, system processes, and hardware states. “Logging” is the practice of generating and storing logs for later analysis.

Analytics 211

Analytics Monitoring Artificial Intelligence DevOps 211

Percona

FEBRUARY 24, 2023

Figure 1: PMM Home Dashboard From the Amazon Web Services (AWS) documentation , an instance is considered over-provisioned when at least one specification of your instance, such as CPU, memory, or network, can be sized down while still meeting the performance requirements of your workload and no specification is under-provisioned.

Cloud 124

Cloud Serverless AWS Storage 124

Percona

JULY 7, 2023

Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. Despite all its upside, PostgreSQL software presents such challenges. PostgreSQL software supports synchronous streaming replication, asynchronous streaming replication, and logical replication.

Availability 88

Availability Open Source Architecture Database 88

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. Without enough infrastructure (physical or virtualized servers, networking, etc.),

Availability 112

Availability Database Open Source Hardware 112

Tech News Gather

JULY 19, 2023

Otherwise, you may not be able to locate enough appropriate hardware and end up having to often switch between different programs. Hubs The hub would be the primary data collector and manager for a network of remote monitoring smart devices. This action may prevent hackers from gaining access to the network and taking it over.

Wireless 52

Wireless IoT Development Internet 52

All Things Distributed

MARCH 11, 2016

Almost from day one, we knew that the software we were building would not be the software that would be running a year later. We needed to build such an architecture that we could introduce new software components without taking the service down. Build evolvable systems. Primitives not frameworks. Automation is key.

AWS 144

AWS Hardware Retail Virtualization 144