Scalegrid

JANUARY 12, 2024

This is sometimes referred to as using an “over-cloud” model that involves a centrally managed resource pool that spans all parts of a connected global network with internal connections between regional borders, such as two instances in IAD-ORD for NYC-JS webpage DNS routing.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

FEBRUARY 1, 2024

Having MySQL backups for your database can speed up and simplify the recovery process. The biggest drawbacks are that a full backup can be time-consuming, and they require a significant amount of storage space. It’s crucial to keep in mind, though, that they could take longer to complete and occupy more storage space.

Best Practices 130

Best Practices Storage Strategy Database 130

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. In this blog, we will discuss both data and network-level compression offered in MongoDB.

Storage 105

Storage Network Open Source Latency 105

Dynatrace

MAY 8, 2023

But when and how does DevOps monitoring fit into the process? The process involves monitoring various components of the software delivery pipeline, including applications, infrastructure, networks, and databases. In addition, monitoring DevOps processes provide the following benefits: Improve system performance.

DevOps 209

DevOps Efficiency Monitoring Infrastructure 209

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 191

Artificial Intelligence DevOps Hardware Virtualization 191

Scalegrid

JANUARY 5, 2024

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. Types of DBMS DBMS can be classified into hierarchical, network, relational, and object-oriented types.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 188

Monitoring Serverless Programming Speed 188

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 188

Monitoring Serverless Programming Speed 188

Scalegrid

MARCH 14, 2024

Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. When delving into the networking aspect of a hybrid cloud deployment, complexities arise due to the requirement of linking or expanding existing on-premises network architectures into the cloud sphere.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

OCTOBER 17, 2023

How IT operations teams can de-silo monitoring data According to the Gartner report, “IT operations practitioners may be in specific silos, such as the network team, server team, virtualization team, application support team or other cross-functional teams (such as a generalized monitoring team).

Monitoring 215

Monitoring Artificial Intelligence Performance Analytics 215

The Netflix TechBlog

NOVEMBER 15, 2022

Rachel Kelley (AWS), Ranjit Raju (AWS) Rendering is core to the the VFX process VFX studios around the world create amazing imagery for Netflix productions. By: Peter Cioni (Netflix), Alex Schworer (Netflix), Mac Moore (Conductor Tech.),

Cloud 282

Cloud Entertainment AWS Infrastructure 282

Dynatrace

SEPTEMBER 23, 2020

Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Sometimes these locations landed on mount points which, due to capacity, availability, or access constraints, weren’t well suited for large runtime storage. See details below. See details below.

Storage 144

Storage Latency Operating System Network 144

Percona

JULY 25, 2023

You can choose to save them locally on the same server, stream them to different servers, or store them in object storage. STDOUT Datasink This diagram displays the process of streaming a backup to object storage utilizing the current STDOUT datasink: XtraBackup spawns multiple copy threads. FIFO ( 8 pipes) – Utilized 1.15

Storage 77

Storage Speed Open Source Servers 77

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

Dynatrace

JUNE 1, 2023

As organizations digitally transform, they’re also accelerating the speed of software delivery. Response time Response time refers to the total time it takes for a system to process a request or complete an operation. or above for the checkout process. Latency primarily focuses on the time spent in transit.

Latency 168

Latency Website Traffic Virtualization 168

Dynatrace

SEPTEMBER 13, 2023

This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 236

AWS Efficiency Azure Cloud 236

Scalegrid

JANUARY 19, 2024

Key Takeaways Rollbacks in MongoDB are triggered by disruptions in the replication process due to primary node crashes, network partitions, or other failures, which can lead to substantial data loss and inconsistencies. This particular write concern prioritizes data longevity over reading speed.

Database 130

Database Network Servers Monitoring 130

Dynatrace

JUNE 1, 2023

Measuring application performance is increasingly important because as organizations digitally transform, they’re also accelerating the speed of software delivery. Response time Response time refers to the total time it takes for a system to process a request or complete an operation. or above for the checkout process.

Traffic 173

Traffic Latency Website Virtualization 173

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. However, the process of log analysis can become complicated without the proper tools.

Analytics 198

Analytics Monitoring Artificial Intelligence DevOps 198

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. … based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data. " Query execution. ."

Processing 72

Processing Hardware Database Azure 72

The Netflix TechBlog

NOVEMBER 3, 2022

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. cell): Titus Job Coordinator is a leader elected process managing the active state of the system.

Cache 224

Cache Latency Traffic Systems 224

Scalegrid

JANUARY 8, 2019

Simply put, in a MySQL semisynchronous replication configuration, the master commits transactions to the storage engine only after receiving acknowledgement from at least one of the slaves. Managing The Execution Speed of The Slaves. What is MySQL Semisynchronous Replication? Replication and Semisynchronous Related Settings.

Availability 113

Availability Tuning Speed Network 113

Dynatrace

DECEMBER 9, 2020

To address potentially high numbers of requests during online shopping events like Singles Day or Black Friday, it’s crucial that this online shop have a memory storage strategy that allows for speed, scaling, and resilience of all microservices, especially the shopping cart service.

Java 222

Java Traffic Strategy Architecture 222

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. All these contribute significantly towards ensuring smooth functioning.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

AUGUST 30, 2023

An incremental backup, which is faster and requires less storage than a full backup, captures changes made since the previous backup. Failover testing: If you have a high availability setup or a secondary data center, test to ensure the failover process switches over to the backup database server. This helps minimize downtime.

Database 85

Database Hardware Open Source Strategy 85

Percona

SEPTEMBER 19, 2023

Now, since backup speed and compactness are important for busy, important databases, Percona’s open source physical backup solution – Percona XtraBackup (PXB) , takes into account all these aspects and benefits MySQL world with its exceptional capabilities! The read speed is too slow, which usually is a sign of IO congestion.

C++ 101

C++ Servers Storage Speed 101

HammerDB

APRIL 19, 2023

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. Storage: The system has a SATA drive for the operating system and one NVMe (Intel SSD D7-P5510 (3.84 4.22 %usr 38.40

Performance 54

Performance Benchmarking Cache Storage 54

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The list goes on. The Limitations of Today’s Streaming Analytics. The heavy lifting is deferred to the back office.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

NOVEMBER 23, 2020

While speeding up development processes and reducing complexity does make the lives of Kubernetes operators easier, the inherent abstraction and automation can lead to new types of errors that are difficult to find, troubleshoot, and prevent. Configuring storage in Kubernetes is more complex than using a file system on your host.

Virtualization 158

Virtualization Infrastructure Monitoring Cloud 158

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. The first 5G networks are now deployed and operational.

Energy 130

Energy Latency Performance Network 130

Testsigma

DECEMBER 4, 2020

Since the mobile apps have limited storage space and power supply, test for memory utilization as well as battery usage. Step 6: Storage. However, the devices do not have enough storage to fulfil the need of installing high-resolution apps. Step 7: Network Compatibility. Check the app on different networks and speeds.

Mobile 65

Mobile Testing Operating System Storage 65

Dynatrace

NOVEMBER 29, 2021

But OpenShift provides comprehensive multi-tenancy features, advanced security and monitoring, integrated storage, and CI/CD pipeline management right out of the box. By removing concerns around storage, security, and lifecycle management, businesses can instead focus on application development, support, and evolution. The result?

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

IO River

NOVEMBER 2, 2023

This is where a well-architected Content Delivery Network (CDN) shines. The goal is to boost the pitfalls of network disruptions and vendor dependencies, all while pocketing cost savings. This way, even if a user desires to watch in 4K but lacks the necessary network resources, HLS steps in to offer a lower-quality version.

Architecture 52

Architecture Performance Internet Internet 52

CSS Wizardry

MARCH 3, 2019

The best request is the one that never happens: in the fight for fast websites, avoiding the network is far better than hitting the network at all. Any asset that carries the no-store directive will always hit the network, no matter what. How is your knowledge of caching and Cache-Control headers? Now we’d use no-store.

Cache 264

Cache Latency Strategy Servers 264

Brendan Gregg

NOVEMBER 29, 2017

Virtualized in Hardware**: Hardware support for virtualization, and near bare-metal speeds. In this configuration, the AMI and boot is paravirt (PV), the kernel is making hypercalls instead of privileged instructions, and the system is using paravirt network and storage drivers. AWS called this [enhanced networking].

Virtualization 111

Virtualization AWS Hardware Storage 111

Dynatrace

JUNE 26, 2020

With today’s high expectations for the speed and availability of applications, you need a deep understanding of real user experiences to make the best business decisions. And, as before, you can always use private Synthetic locations that are located within your network infrastructure to measure complex internal applications and APIs.

Monitoring 249

Monitoring Azure AWS Traffic 249

Brendan Gregg

FEBRUARY 28, 2023

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 110

Performance Latency Cache Virtualization 110