Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. So please stay tuned for updates. . Dynatrace news. What’s next.

Cloud 256

Cloud Azure Analytics AWS 256

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. This session revisits the pillar and its best practices.

AWS 52

AWS Energy IoT Best Practices 52

Smashing Magazine

NOVEMBER 8, 2021

Getting fast initial render with streaming server-side rendering, efficient component-level updates and state transitions, while also setting up a performant loading and bundling strategy for all the assets is hard and time-consuming technical work. Stay tuned for more in 2022! Oxygen is in early access preview with select merchants.

Cache 137

Cache Best Practices Strategy Servers 137

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently. To answer the question ‘what is serverless?’

Serverless 241

Serverless Efficiency Lambda Azure 241

KeyCDN

SEPTEMBER 20, 2018

Error monitoring can get increasingly complicated as you deal with bugs reported by users and your production team, which is why having an efficient error tracking workflow from the beginning is so important. Not all back-end errors affect the user experience, but keeping track of them can prove helpful when tuning your app.

Strategy 67

Strategy Monitoring Website Google 67

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Google Lighthouse Google Lighthouse is a free and open source tool that is part of the Google Chrome DevTools family. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Dynatrace

JANUARY 14, 2022

Tuning thousands of parameters has become an impossible task to achieve via a manual and time-consuming approach. To illustrate how Akamas approach works for Kubernetes microservices applications the webinar, the example of Google Online Boutique is used during the webinar. The Akamas approach. below 500ms) and error rates (e.g.

Latency 196

Latency Tuning Efficiency AWS 196

O'Reilly

MAY 25, 2021

Indeed, Google recently announced LaMDA , a model at GPT-3 scale that is designed to participate in conversations. Bitcoin’s market capitalization is in the tune of hundreds of billions of dollars, and the cumulative crypto market capitalization is in the realm of a trillion dollars. HODL for Fun & Profit.

Social Media 140

Social Media Media Internet Internet 140

Dynatrace

SEPTEMBER 29, 2021

Just as people use Xerox as shorthand for paper copies and say “Google” instead of internet search, Docker has become synonymous with containers. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability.

Open Source 294

Open Source Traffic DevOps Cloud 294

The Netflix TechBlog

OCTOBER 27, 2020

Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. What is Bulldozer Bulldozer is a self-serve data platform that moves data efficiently from data warehouse tables to key-value stores in batches. Figure 1 shows how we use Bulldozer to move data at Netflix.

Latency 243

Latency Storage Big Data Tuning 243

Abhishek Tiwari

JULY 12, 2018

If tuned for performance, there is a good change reliability is compromised - and vice versa. Although based on the load it may be possible to infinitely scale the data pipeline but that will come with a cost which most companies other than Google or Amazon will struggle to justify. Pipeline reliability and performance go hand in hand.

Latency 63

Latency Analytics Scalability Engineering 63

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises?

Open Source 111

Open Source Artificial Intelligence Google Infrastructure 111

The Netflix TechBlog

JULY 26, 2021

With dependable near real-time data, Studio teams are able to track and react better to the ever-changing pace of productions and improve efficiency of global business operations using the most up-to-date information. Centralized data will be moved to third party services such as Google Sheets and Airtable for the stakeholders.

Big Data 253

Big Data Government Analytics Processing 253

Dynatrace

DECEMBER 9, 2020

Over the past months, we’ve also worked very closely with Google to bring new SLO capabilities into our Software Intelligence Platform to enable all our users to scale their SRE practices. Read more: Google’s definition of the term Site Reliability Engineering. Release decision making with Service-Level Objectives (SLOs).

Metrics 148

Metrics Engineering Google Monitoring 148

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Cloud platforms are fully virtualized and, consequently, highly automated.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

CSS Wizardry

NOVEMBER 3, 2020

So many false starts, tedious workflows, and a complete lack of efficiency really made it difficult for me to find momentum. Historically, I’d maybe look at Google Analytics—or a RUM solution if the client had one already—but this is only useful for showing me particular outliers, and not necessarily any patterns across the whole project.

Speed 292

Speed Ecommerce Metrics Analytics 292

MachMetrics

APRIL 3, 2020

and the Head Performance Engineer at Google. and Google, they’ll do wonders for your website! If you’re looking to read optimization ideas from one of the greatest minds in speed performance, look no further. Author Steve Souders writes about the best practices that he gained as the Chief Performance Yahoo!,

Speed 85

Speed Performance Best Practices Website 85

The Morning Paper

NOVEMBER 10, 2019

This paper describes the networking stack, Snap , that has been running in production at Google for the last three years+. Enter Google! Here are the bombshell paragraphs: Our datacenter applications seek ever more CPU-efficient and lower-latency communication, which Pony Express delivers. SOSP’19. Emphasis mine).

Network 92

Network Transportation Latency Entertainment 92

The Morning Paper

MAY 21, 2019

This makes memory a critical factor in the total cost of ownership (TCO) of large compute clusters, or as Google like to call them “Warehouse-scale computers (WSCs).” ” This paper describes a “far memory” system that has been in production deployment at Google since 2016. Enter zswap!

Software 78

Software Software Google Hardware 78

The Netflix TechBlog

OCTOBER 18, 2022

But sometimes, it is not efficient. Signal triggering is efficient and accurate because we don’t waste resources checking if the workflow is ready to run, instead we only execute the workflow when a condition is met. Advanced users can develop their own well-tuned docker image and let Maestro handle the scheduling and execution.

Java 202

Java Scalability Traffic Architecture 202

Adrian Cockcroft

NOVEMBER 13, 2023

In the simplest case, you have a growing workload, and you optimize it to run more efficiently so that you don’t need to buy or rent additional hardware, so your carbon footprint stays the same, but the carbon per transaction or operation is going down. I’ve written before about how to tune out retry storms.

Energy 52

Energy Cloud Traffic Transportation 52

Dynatrace

NOVEMBER 13, 2020

If you want to use the Google UI toolkit to build natively compiled applications for mobile, web, and desktop from a single codebase?, Be sure to fine-tune the anomaly detection settings for your mobile app so that you can focus on those anomalies that are most relevant to the experience of your end users. Dynatrace news.

Code 167

Code Mobile Monitoring Infrastructure 167

O'Reilly

SEPTEMBER 19, 2023

Between Google (Vertex AI and Colab) and Amazon (SageMaker), you can now get all of the GPU power your credit card can handle. Google goes a step further in offering compute instances with its specialized TPU hardware. Not that you’ll even need GPU access all that often.

Hardware 101

Hardware Storage Big Data Blockchain 101

Tasktop

MAY 24, 2021

Citing the Navy’s “leadership factory”, he encouraged attendees to focus on tuning a system for building leaders, to give them the responsibility and ownership to hone their skills and come back “stronger” from missions. The right leader matters, as retired Admiral John Richardson attested. And their popularity is on the rise.

DevOps 91

DevOps Metrics Healthcare Innovation 91

Dynatrace

JANUARY 31, 2023

Tune in to find out how agencies can implement a smarter protocol, how remote work impacts the trust equation, and the role technology can play in workforce culture. Listen live as they discuss how agencies and organizations can implement psychological safety to improve retention and operational efficiency.

Social Media 189

Social Media Government Media Tuning 189

O'Reilly

OCTOBER 11, 2022

As a trend, it’s not performing well on Google; it shows little long-term growth, if any, and gets nowhere near as many searches as terms like “Observability” and “Generative Adversarial Networks.” However, growth always ends: nothing grows exponentially forever, not even Facebook and Google. Should it be? Is retraining needed?

Games 118

Games Healthcare Processing Retail 118

O'Reilly Software

APRIL 4, 2018

Google founders figured out smart ways to rank websites by analyzing their connection patterns and using that information to improve the relevance of search results. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. Back in the days of Web 1.0, At least once?

Architecture 80

Architecture Scalability Google Operating System 80

Smashing Magazine

AUGUST 22, 2021

One aspect of performance is about how efficiently a transport protocol can use a network’s full (physical) bandwidth (i.e. As such, tuning congestion logic is usually only done by a select few developers, and evolution is slow. Initial tests by Google , for example, show low percentage improvements for its use cases.

Performance 107

Performance Network Latency Servers 107

Smashing Magazine

JANUARY 5, 2022

Maybe you worked in partnership with the engineering lead on X to increase the efficiency of Y — I’d love to hear more about this during an interview. Stay tuned! What specifically did you lead and can you attempt to describe the impact? What cross-functional impact have you had? I’d be happy to help!

Design 128

Design Social Media Website Best Practices 128

Speed Curve

DECEMBER 25, 2013

Source: Guy Podjarny However, we do now have a full set of techniques to effectively deliver highly performative sites that not only visually scale across devices but also deliver code and assets tuned to the width of a device. It’s a new image format developed by Google that’s 30-40% smaller than a jpeg.

Performance 60

Performance Mobile Website Benchmarking 60

Smashing Magazine

SEPTEMBER 6, 2021

For example, you could reduce compression efficiency , because that works better with more data. As such, a micro-optimization is, again, how you probably need to fine-tune things on a low level to really benefit from it. mvfst (Facebook), MsQuic , (Microsoft), (Google), ngtcp2 , LSQUIC (Litespeed), picoquic , quicly (Fastly).

Network 107

Network Servers Cache Traffic 107

Smashing Magazine

AUGUST 9, 2021

QUIC is needed because TCP, which has been around since the early days of the Internet, was not really built with maximum efficiency in mind. While the first Google-specific versions of QUIC used a custom set-up for this, standardized QUIC uses the existing TLS 1.3 IETF’s QUIC is technically very different from Google’s QUIC.

Transportation 145

Transportation Internet Internet Network 145

Tech News Gather

JUNE 16, 2023

By leveraging the power of mobile technology, UberEats provides a seamless and efficient way for users to order their favorite meals from a wide range of eateries. UberEats also excels in providing a reliable and efficient delivery service. Stay tuned for valuable insights on designing a captivating UberEats clone.

Social Media 52

Social Media Tuning Strategy Media 52

Smashing Magazine

SEPTEMBER 29, 2021

Users appreciate high-quality visuals, but care needs to be taken to deliver those hero images, product photos and cat memes as efficiently and effectively as possible. The efficiency of a codec can be mainly measured by how much compression it can achieve. AVIF contributors at Google have also reported some nice performance gains.

Open Source 145

Open Source Speed Website Google 145

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Google cloud.

Architecture 52

Architecture Cache Azure Storage 52

Percona

JANUARY 14, 2019

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Inserts are efficient for bulk inserts only. created_utc?? ?

Database 40

Database Analytics Blockchain Healthcare 40