Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. When an application is triggered, it can cause latency as the application starts. This creates latency when they need to restart.

Serverless 243

Serverless Efficiency Lambda Azure 243

The Morning Paper

NOVEMBER 15, 2020

Achieving 100 Gbps intrusion prevention on a single server , Zhao et al., Today’s paper choice is a wonderful example of pushing the state of the art on a single server. An IDS/IPS monitors network flows and matches incoming packets (or more strictly, Protocol Data Units, PDUs) against a set of rules. OSDI’20.

Servers 128

Servers Hardware Latency Design 128

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. These storage nodes collaborate to manage and disseminate the data across numerous servers spanning multiple data centers.

Storage 130

Storage Systems Big Data Azure 130

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. AWS continues to improve how it handles latency issues. What is AWS Lambda?

Lambda 180

Lambda AWS Serverless Hardware 180

Dotcom-Montior

NOVEMBER 11, 2020

Well, to start, serverless, or serverless computing , doesn’t really mean there aren’t servers involved, because there are, rather it refers to the fact that the responsibility of having to manage, scale, provision, maintain, etc., Applications that are running continuously on a dedicated server aren’t as impacted by latency issues.

Serverless 57

Serverless Monitoring Lambda Latency 57

Dotcom-Montior

MAY 12, 2020

Website and Web Application Monitoring. Web monitoring is a comprehensive term that describes the activity of testing a website or web application for its availability and performance. Early web applications involved less on client-side behavior and more server-side for all its navigation, query handling, and updates.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance.

Performance 107

Performance Monitoring Traffic Database 107

ACM Sigarch

MAY 31, 2023

Memory disaggregation separates memory pools from traditional server boxes, enabling more flexible resource allocation and potentially reducing costs. There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. The recently announced CXL3.0

Latency 52

Latency Hardware Cache Architecture 52

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. Indexing is another powerful technique for query optimization.

Tuning 52

Tuning Database Performance Hardware 52

The Morning Paper

MAY 19, 2019

Last week we learned about the [increased tail-latency sensitivity of microservices based applications with high RPC fan-outs. Seer uses estimates of queue depths to mitigate latency spikes on the order of 10-100ms, in conjunction with a cluster manager. So what we have here is a glimpse of the limits for low-latency RPCs under load.

Latency 80

Latency Hardware Network Architecture 80

Dynatrace

SEPTEMBER 30, 2021

It requires purchasing, powering, and configuring physical hardware, training and retaining the staff capable of servicing and securing the machines, operating a data center, and so on. They need enough hardware to serve their anticipated volume and keep things running smoothly without buying too much or too little. Reduced cost.

Cloud 165

Cloud Traffic Best Practices Strategy 165

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. Throughput and latency. energy consumption).

Energy 130

Energy Latency Performance Network 130

Percona

MAY 2, 2023

Questions Q: I have a MySQL server with 500 GB of RAM; my data set is 100 GB. Keep in mind that setting the buffer pool size too high may result in other processes on your server competing for memory, which can impact performance. Q: I have a MySQL server, and my application is writing at a rate of 100 MB/hour in my redo logs.

Social Media 122

Social Media Database Servers Cache 122

SQL Performance

APRIL 27, 2020

It is built as part of the platform-as-a-service environment which provides customers with additional monitoring and security for the product. Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. New Hardware Configuration for Provisioned Compute Tier. GB per vCore. Serverless Database.

Azure 55

Azure Database Serverless Hardware 55

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. First off there still is a model of course (but then there are servers hiding behind a serverless abstraction too!). autoscaling).

Hardware 58

Hardware Latency Serverless Energy 58

Percona

NOVEMBER 9, 2023

In addition, Kubernetes provides features like continuous monitoring, self-healing capabilities ( automatically replacing containers if they happen to fail ), and rolling updates ( gradual updates of your applications ), ensuring that your applications are always available — even in the face of failures or updates.

Efficiency 106

Efficiency Cloud Healthcare Open Source 106

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.

Availability 40

Availability Servers Hardware Benchmarking 40

Scalegrid

APRIL 16, 2020

This is why our BYOC pricing is less than our Dedicated Hosting pricing, as the costs listed for BYOC are only what you pay for ScaleGrid and don’t include your hardware costs. All DBaaS management, monitoring, and maintenance tools are included in both plans, along with 24/7 support. Where to host your cloud database? Security Groups.

Cloud 242

Cloud Azure AWS Database 242

Dotcom-Montior

DECEMBER 8, 2021

Systems, web applications, servers, devices, etc., Software services still require physical devices and hardware for them to function. Incident identification begins with some form of monitoring or alerting mechanism. We talked about monitoring distributed systems in a different article and how that pertains to SRE teams.

Social Media 90

Social Media Monitoring Latency DevOps 90

SQL Server According to Bob

JANUARY 11, 2020

Microsoft, ​​ Windows, ​​ Windows NT, ​​ and Windows Server ​​ are registered trademarks of Microsoft Corporation in the United States and/or other countries. The names of actual companies and products mentioned herein may be the trademarks of their respective owners.

Servers 40

Servers Cache Database Media 40

Percona

APRIL 17, 2023

It is common to see a value of “ 0″ ( or sometimes “10” ) on database servers, telling the kernel to prefer to swap to memory for better response times. The CFQ works well for many general use cases but lacks latency guarantees. A setting of 100 determines it to swap aggressively to disk.

Best Practices 52

Best Practices Design Tuning Database 52

cdemi

FEBRUARY 20, 2017

Let's talk about the elephant in the room; Serverless doesn't really mean that there are no Software or Hardware servers. It just means that from Software Development perspective, servers are abstracted and outsourced to another entity, so you don't need to worry about it. Advantages and Disadvantages of Serverless. Advantages.

Serverless 64

Serverless Architecture Lambda Azure 64

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. on end-to-end latency) and less than 0.15% on throughput.

Big Data 45

Big Data Cloud Performance Hardware 45

The Morning Paper

JULY 4, 2019

In all cases we need to be able to carefully monitor the impact on the system, and back out if things start going badly wrong. degraded hardware, transient networking problem) or, more often, because of some change deployed by Netflix engineers that did not have the intended effect. RPCs at Netflix are wrapped as Hystrix commands.

Latency 77

Latency Engineering Metrics Traffic 77

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

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput. Instead all of the client servers are connecting to the TP monitor.

C++ 40

C++ Benchmarking Virtualization Open Source 40

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. 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

Brendan Gregg

AUGUST 8, 2017

The version of this on [ietf.org] links to a PDF scan of a hand drawn load average graph from July 1973, showing that this has been monitored for decades: source: [link]. Thankfully, I found some older linux-devel mailing list archives, rescued from server backups, often stored as tarballs of digests. to the load average.

Latency 111

Latency Metrics C++ Systems 111

HammerDB

OCTOBER 8, 2018

This limitation is at the database level rather than the hardware level, nevertheless with up to date hardware (from mid-2018) PostgreSQL on a 2 socket system can be expected to deliver more than 2M PostgreSQL TPM and 1M NOPM with the HammerDB TPC-C test. . CPUs which run at the same hardware frequency: 0. Latency: 0.

Best Practices 40

Best Practices Scalability Performance Hardware 40

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? Testing And Monitoring. Is it expensive JavaScript, slow web font delivery, heavy images, or sluggish rendering?

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Good for raising alarms and monitoring changes over time, not so good for understanding user experience. Vitaly Friedman.

Performance 145

Performance Cache Media Metrics 145

Highly Scalable

SEPTEMBER 18, 2012

Historically, NoSQL paid a lot of attention to tradeoffs between consistency, fault-tolerance and performance to serve geographically distributed systems, low-latency or highly available applications. A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Data Placement.

Database 213

Database Latency C++ Scalability 213

Smashing Magazine

JANUARY 7, 2019

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? Testing And Monitoring. Is it expensive JavaScript, slow web font delivery, heavy images, or sluggish rendering?

Performance 103

Performance Cache Metrics Network 103

KeyCDN

AUGUST 15, 2019

Bottlenecks can occur, for example, if you have a sudden surge in traffic that your servers are not equipped to handle. Unlike spike tests, scalability tests involve gradually increasing workload while monitoring the effects on performance. Many testing tools let you monitor user behavior in great detail.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. Historically MySQL has been positioned for supporting web-based applications this is in contrast to enterprise based database workloads that have been served by commercial databases such as Oracle, Db2 and SQL Server.

Best Practices 40

Best Practices Scalability Performance C++ 40

Dynatrace

AUGUST 5, 2019

Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. Remember: This is a critical aspect as you do not want to migrate a service and suddenly introduce high latency or costs to a system that you forgot about having a dependency with!

Cloud 31

Cloud Traffic Database Network 31

Alex Russell

OCTOBER 22, 2017

Tools and CI systems help them monitor progress & prevent regressions. Late-loading JavaScript can cause “server-side rendered” pages to fail in infuriating ways. The server sends it as a stream of bytes and when the browser encounters each of the sub-resources referenced in the document, it requests them.

Performance 68

Performance Benchmarking Network Mobile 68