Dynatrace

APRIL 26, 2022

With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings. STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables).

Monitoring 200

Monitoring Social Media IoT Metrics 200

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

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 failure in replication could happen due to crashes, network partitions, or other situations where failover occurs.

Database 130

Database Network Servers Monitoring 130

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

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Teams can build on these SLO examples to improve application performance and reliability. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider. or 99.99% of the time.

Traffic 173

Traffic Latency Website Virtualization 173

Percona

JUNE 22, 2023

Let’s dive in and learn how (and what) to effectively monitor MySQL performance, along with examples from PMM, by understanding the critical KPIs to watch for. This is not an exhaustive list but an example of what we can watch for.

Performance 108

Performance Monitoring Traffic Database 108

The Morning Paper

JANUARY 30, 2020

Edge servers are the middle ground – more compute power than a mobile device, but with latency of just a few ms. The kind of edge server envisaged here might, for example, be integrated with your WiFi access point. One example from the paper is an application using the ammo.js Why would we want to live migrate web workers?

Mobile 104

Mobile Cloud Latency Games 104

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. The talk also includes examples of using these tools in the Amazon Elastic Compute Cloud (Amazon EC2) cloud.

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. The talk also includes examples of using these tools in the Amazon Elastic Compute Cloud (Amazon EC2) cloud.

AWS 100

AWS Entertainment Open Source Benchmarking 100

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

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.

Performance 125

Performance Cache Servers Social Media 125

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 21, 2020

By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. 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.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. 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.

Analytics 52

Analytics Airlines Cache Scalability 52

The Morning Paper

JUNE 13, 2019

Making queries to an inference engine has many of the same throughput, latency, and cost considerations as making queries to a datastore, and more and more applications are coming to depend on such queries. The following figure highlights how just one of these variables, batch size, impacts throughput and latency on ResNet50.

Hardware 58

Hardware Latency Serverless Energy 58

The Morning Paper

SEPTEMBER 5, 2019

For response times (latencies) reporting a simple metric such as ‘average’ is next to useless. Instead we want to understand what’s happening at different latency percentiles (e.g A characteristic of latency distributions is that they have a long tail. In another example in the paper, a rank accuracy of 0.5%

Latency 52

Latency Metrics Open Source Java 52

Abhishek Tiwari

DECEMBER 27, 2017

faster access to external storage and data locality (I/O, bandwidth). optimised container networking and security. Twitter Heron is another good example of this approach. Storage provisioning. But Kubernetes storage is evolving quite quickly. distributed stateful data workloads (Zookeeper, Cassandra).

Big Data 63

Big Data Storage Benchmarking Hardware 63

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dotcom-Montior

OCTOBER 6, 2021

For example, a site reliability engineer may be involved with help desk tickets, on-call incidents, manual tasks, etc. One minute an SRE might be provisioning storage in AWS, the next minute an SRE might have to talk to customers or go write some Python code for a new project. What Does a Site Reliability Engineer Do? Performance.

Engineering 67

Engineering DevOps Monitoring Google 67

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

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 114

Storage Network Open Source Latency 114

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. Every time data spikes - a phenomenon which will be not predictable in most cases - overall latency to process the data using data pipeline will go up.

Latency 63

Latency Analytics Scalability Engineering 63

All Things Distributed

DECEMBER 5, 2010

A simple example is the situation with Persons and Telephones; a person has a name, a person can have one or more telephones and each phone can have one or more telephone numbers. Route 53 provides Authoritative DNS functionality implemented using a world-wide network of highly-available DNS servers. No lock-in. At werner.ly

Cloud 117

Cloud Internet Internet AWS 117

Adrian Cockcroft

APRIL 18, 2018

This is true for CPU, network, memory and storage, and also for bare metal, virtual machines, containers, processes, functions and threads. What happens if you have several monitoring systems and they disagree on a critical metric like CPU load or Network throughput? I’ve seen problematic examples in the past.

Monitoring 40

Monitoring Systems Virtualization Metrics 40

Dynatrace

JUNE 1, 2023

But how do you get started, and what are some service level objective examples? In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider. Five example SLOs for faster, more reliable apps 1. Note : you might hear the term latency used instead of response time.

Latency 174

Latency Website Traffic Virtualization 174

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. The talk also includes examples of using these tools in the Amazon Elastic Compute Cloud (Amazon EC2) cloud.

AWS 37

AWS Entertainment Open Source Benchmarking 37

Dynatrace

JUNE 25, 2020

For example, in a three-node cluster, one node can go down; in a cluster with five or more nodes, two nodes can go down. The network latency between cluster nodes should be around 10 ms or less. Minimized cross-data center network traffic. Automatic recovery for outages for up to 72 hours. Self-contained turnkey solution.

Availability 244

Availability Hardware Latency Traffic 244

The Netflix TechBlog

SEPTEMBER 24, 2021

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. The following table gives us an example of file sizes for 4K ProRes 422 HQ proxies.

Cloud 237

Cloud Media Storage Cache 237

All Things Distributed

AUGUST 16, 2011

There are different considerations when deciding where to allocate resources with latency and cost being the two obvious ones, but compliance sometimes plays an important role as well. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. More information. At werner.ly Syndication.

AWS 111

AWS Government Big Data Cloud 111

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " SoCC’19. "Narrowing Shredder’s implementation is built on top of Seastar.

Serverless 99

Serverless Storage Latency Cloud 99

Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. Storage is a critical aspect to consider when working with cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

The Netflix TechBlog

NOVEMBER 3, 2022

When a new leader is elected it loads all data from external storage. For example, it is OK to send writes through one instance, and do reads from another one with full data read consistency guarantees. For example, a batch workflow orchestration system may create multiple jobs which are part of a single workflow execution.

Cache 224

Cache Latency Traffic Systems 224

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. Interoperability with Hadoop. Pipelining.

Big Data 154

Big Data Processing Lambda Database 154

The Netflix TechBlog

SEPTEMBER 2, 2020

Example call graph in Edgar In some cases, the question we’re answering is, “What’s happening right now??” This difference has substantial technological implications, from the classification of what’s interesting to transport to cost-effective storage (keep an eye out for later Netflix Tech Blog posts addressing these topics).

Latency 296

Latency Transportation Engineering Traffic 296

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. We can completely cut out the overhead of a roundtrip of latency.

Cache 264

Cache Latency Strategy Servers 264

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. Performing steps like switching from a single-CDN setup to a multi-CDN or separating strategies for content types can make the benefits twofold!

Architecture 52

Architecture Performance Internet Internet 52