Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. If you don’t have insight into the software and services that operate your business, you can’t efficiently run your business. Minimizes downtime and increases efficiency.

Infrastructure 200

Infrastructure Monitoring Virtualization Serverless 200

Dynatrace

MARCH 24, 2023

Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services. But managing the deployment, modification, networking, and scaling of multiple containers can quickly outstrip the capabilities of development and operations teams.

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

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

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. Without it, sending an email over a long distance would require the immediate availability of every node on the routing network to forward each message.

Monitoring 200

Monitoring Serverless Programming Speed 200

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. Without it, sending an email over a long distance would require the immediate availability of every node on the routing network to forward each message.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

DECEMBER 18, 2023

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. But often, we use additional services and solutions within our environment for backups, storage, networking, and more.

Metrics 178

Metrics Engineering Energy Tuning 178

Dynatrace

MAY 8, 2023

This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. And how do DevOps monitoring tools help teams achieve DevOps efficiency? Lost efficiency. 54% reported deploying updates every two hours or less.

DevOps 220

DevOps Efficiency Monitoring Infrastructure 220

The Netflix TechBlog

MAY 21, 2019

There are several problems efficient test scheduling could help us solve: Quickly detect a regression in the integration of the Netflix SDK on a consumer electronic or MVPD (multichannel video programming distributor) device. We wanted the to tool be available as a standalone library as well as scalable API service.

Testing 163

Testing AWS Lambda Network 163

Smashing Magazine

SEPTEMBER 28, 2022

The resource loading waterfall is a cascade of files downloaded from the network server to the client to load your website from start to finish. It essentially describes the lifetime of each file you download to load your page from the network. You can see this by opening your browser and looking in the Networking tab.

Cache 126

Cache Performance Servers Social Media 126

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

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

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100

AWS Entertainment Open Source Benchmarking 100

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Because all the work is performed with the IMDG, this has the two-fold advantage of offloading both the network and the client’s CPU. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Because all the work is performed with the IMDG, this has the two-fold advantage of offloading both the network and the client’s CPU. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

Cache 130

Cache Storage Scalability Architecture 130

All Things Distributed

DECEMBER 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Jul 4 - Leases: An efficient fault-tolerant mechanism for distributed file cache consistency , Gray, Cary, and David Cheriton, Vol. Aug 11 - " On the Naming and Binding of Network Destinations ", Saltzer, J. All Things Distributed. Comments ().

Operating System 144

Operating System Cache AWS Scalability 144

Scalegrid

JANUARY 8, 2024

Key Takeaways Multi-cloud involves using services from multiple cloud providers to gain flexibility and reduce vendor lock-in, while hybrid cloud combines private and public cloud resources to balance control and scalability. Thus making it an ideal choice for businesses seeking a successful implementation of their multi-cloud strategy.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. The public cloud’s ability to scale efficiently enables ‘cloudbursting’ when demand spikes without requiring businesses to overprovision their own infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dotcom-Montior

OCTOBER 6, 2021

Site reliability engineers are focused with creating scalable and reliable software systems, so this also includes ensuring that development work is efficient and reliable, so when the finished product is ready for production, there are no surprises. that are required to keep the software deployments live are running efficiently.

Engineering 67

Engineering DevOps Monitoring Google 67

All Things Distributed

MARCH 5, 2012

Werner Vogels weblog on building scalable and robust distributed systems. We continuously apply all our innovative skills to the design of datacenters, servers, storage, network, etc. to drive new efficiencies and higher reliability. All Things Distributed. Driving Compute Cost Down for AWS Customers. Comments ().

AWS 110

AWS Innovation Scalability Cache 110

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Storage is a critical aspect to consider when working with cloud workloads. This opens up possibilities not only difficult but almost impossible to attain conventionally!

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

FEBRUARY 1, 2024

Key Takeaways Understanding the range of MySQL backup types and strategies is essential for optimal data security and efficiency, including full, incremental, differential, and partial backups, each with its advantages and use cases. Therefore, it’s not the ideal choice if there are time or storage limitations.

Best Practices 130

Best Practices Storage Strategy Database 130

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

JANUARY 11, 2023

Continuous cloud monitoring with automation provides clear visibility into the performance and availability of websites, files, applications, servers, and network resources. This type of monitoring tracks metrics and insights on server CPU, memory, and network health, as well as hosts, containers, and serverless functions.

Cloud 223

Cloud Monitoring Best Practices Infrastructure 223

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. This talk explores the journey, learnings, and improvements to performance analysis, efficiency, reliability, and security.

AWS 37

AWS Entertainment Open Source Benchmarking 37

All Things Distributed

AUGUST 16, 2012

Werner Vogels weblog on building scalable and robust distributed systems. 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. All Things Distributed.

AWS 118

AWS Hardware Traffic Best Practices 118

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. As mentioned before, most of data pipelines are not stateless which means scalability is not given a thing.

Latency 63

Latency Analytics Scalability Engineering 63

The Netflix TechBlog

NOVEMBER 6, 2023

In order to train the model on internal training data (video clips with aligned text descriptions), we implemented a scalable version on Ray Train and switched to a more performant video decoding library. The embedding computation is based on a large neural network model and has to be run on GPUs for optimal throughput.

Media 225

Media Social Media Tuning Efficiency 225

Scalegrid

MAY 13, 2020

Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Polymorphic Data Storage. At a glance – TLDR. The Greenplum Architecture. Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 4, 2022

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. This approach is cumbersome and challenging to operate efficiently at scale.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

Highly Scalable

AUGUST 20, 2013

The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. The engine should be compact and efficient, so one can deploy it in multiple datacenters on small clusters. Efficient lineage tracking is not a trivial problem. Interoperability with Hadoop. Pipelining.

Big Data 154

Big Data Processing Lambda Database 154

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. Some of them include: Redundant hardware: Both HA and DR use redundant hardware components, including servers and storage devices. It’s suitable for databases with moderate change rates.

Database 87

Database Hardware Open Source Strategy 87

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Easy scalability. IaaS provides direct access to compute resources such as servers, storage, and networks. million in 2020. Process portability. CaaS vs. IaaS. CaaS vs. FaaS.

Serverless 218

Serverless Azure Hardware Transportation 218

Percona

OCTOBER 18, 2023

Flexibility and scalability Open source databases provide much greater flexibility regarding customization and configuration. Are you looking to enhance performance, improve scalability, cut expenses, or gain access to specific features you don’t currently have? Start by identifying the reasons driving the migration.

Open Source 91

Open Source Database Hardware Strategy 91

The Netflix TechBlog

FEBRUARY 13, 2023

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. Media Feature Storage: Amber Storage Media feature computation tends to be expensive and time-consuming. We accomplish this by paving the path to: Accessing and processing media data (e.g.

Media 290

Media Storage Infrastructure Systems 290

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 118

Cloud Serverless AWS Storage 118