Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. This trains your teams to be proactive in maintaining software quality and saves you money by avoiding downtime.

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. This includes servers, applications, software platforms, and websites.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

The Netflix TechBlog

OCTOBER 18, 2019

It featured three relevant talks from LinkedIn, Netflix and Facebook, and a platform architecture overview talk from first time participant Dropbox. In particular, he talked about the misattribution potential in a complex microservice architecture where often intermediary results are cached.

Infrastructure 100

Infrastructure Metrics Architecture Efficiency 100

Adrian Cockcroft

NOVEMBER 26, 2023

The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. Explore an implementation of this architecture with PVH, the parent company of Tommy Hilfiger and Calvin Klein.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

OCTOBER 26, 2020

So stay tuned. First, they used a video camera and trained an AI model but then decided to use a less privacy-intrusive variant with an infrared sensor. For all the hardware geeks – here is the architectural overview of his project: Architectural overview of all involved components in his COVID-19 home innovation project.

Innovation 150

Innovation Metrics Hardware Games 150

Adrian Cockcroft

JUNE 21, 2022

I also learned how marketing worked, and began to build my presentation and training skills as I was sent around the world by Sun to teach workshops and speak at events. I still code in R… One role I had for many years was to lead technical training events for the global specialist systems engineers, which we called the Ambassador Program.

Tuning 52

Tuning Benchmarking Engineering C++ 52

The Morning Paper

OCTOBER 8, 2019

Andrej Karpathy has advice regarding model architecture: don’t be a hero. ” The Lambdarank model used pairs of {booked, not-booked} examples as inputs to training, and weighed each pairwise loss by the difference in NDCG resulting from swapping the ordering in the pair. Tuning the model. Dump the complexity.

Network 82

Network Architecture Tuning Traffic 82

IO River

NOVEMBER 15, 2023

Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture. Configuring and Maintaining WAF on a Multi-CDN‍Multi-CDN architectures, the double-edged swords. ‍Think of it as the captain of a well-trained squad, each member with a specialized skill set.

Traffic 52

Traffic Network Logistics Architecture 52

Sutter's Mill

NOVEMBER 11, 2023

This week’s meeting: Meeting #2 of C++26 At the previous meeting in June, the committee adopted the first 40 proposed changes for C++26, including many that had been ready for a couple of meetings and were just waiting for the C++26 train to open to be adopted. For those highlights, see the previous trip report. This is that library.

C++ 107

C++ Lambda Network Programming 107

IO River

NOVEMBER 2, 2023

Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture. Configuring and Maintaining WAF on a Multi-CDN‍Multi-CDN architectures, the double-edged swords. Think of it as the captain of a well-trained squad, each member with a specialized skill set.

Traffic 40

Traffic Network Logistics Architecture 40

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. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.

Hardware 58

Hardware Latency Serverless Energy 58

The Morning Paper

JULY 16, 2019

To investigate all this the authors take six recent unsupervised disentanglement methods, train them over seven different data sets, and evaluate them using six different disentanglement measures. The result is a corpus of more than 10,000 trained models. the choice of the neural architecture). Luck and tuning.

Logistics 43

Logistics Metrics Network Strategy 43

SQL Server According to Bob

FEBRUARY 15, 2018

The conference kicks off next week on Wednesday February 21st with Training Days and lasts through Saturday, February 24th. Friday Sessions: SQL Intelligence excels your tuning and security expertise – Veljko Vasic, Ron Matchoro and Frans Lytzen. Best practices on Building a Big Data Analytics Solution – Michael Rys.

Engineering 40

Engineering Azure Best Practices Servers 40

Brendan Gregg

APRIL 30, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 43

DevOps Network Best Practices Programming 43

Brendan Gregg

APRIL 29, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 40

DevOps Network Best Practices Programming 40

The Netflix TechBlog

MARCH 14, 2023

Much of the ML literature focuses on model training, evaluation, and scoring. Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix. In addition, we were able to perform a handful of A/B tests to validate or negate our hypotheses for tuning the search experience.

Media 291

Media Innovation Energy Architecture 291

The Netflix TechBlog

AUGUST 17, 2023

Each algorithm needed a process of evaluation and tuning to get great results in AVA Discovery View. This feedback is easily accessible by our algorithm partners and used in training improved versions of the models. For Visual Search We found that the model was influenced by the text present in the image.

Media 169

Media Scalability Architecture Strategy 169

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. This drove the approach of the “release train”. Several promising ideas were abandoned owing to the outsized work needed to overcome architectural limitations. The microservice architecture provides strong decoupling between services.

Processing 229

Processing Media Latency Innovation 229

The Netflix TechBlog

OCTOBER 18, 2022

These include ETL pipelines, ML model training workflows, batch jobs, etc. Meson was based on a single leader architecture with high availability. Similarly, ML model training workflows usually consist of tens of thousands of training jobs within a single workflow. Figure 1 shows the high-level architecture.

Java 202

Java Scalability Traffic Architecture 202

All Things Distributed

NOVEMBER 29, 2017

Though the AWS Cloud gives you access to the storage and processing power required for ML, the process for building, training, and deploying ML models has unique challenges that often block successful use of this powerful new technology. The challenges begin with collecting, cleaning, and formatting training data.

Tuning 94

Tuning AWS Scalability Infrastructure 94

The Netflix TechBlog

NOVEMBER 20, 2023

Whether in analyzing A/B tests, optimizing studio production, training algorithms, investing in content acquisition, detecting security breaches, or optimizing payments, well structured and accurate data is foundational. IPS enables users to continue to use the data processing patterns with minimal changes.

Processing 210

Processing Big Data Efficiency Engineering 210

Abhishek Tiwari

JULY 20, 2019

In this model, software architecture and code ownership is a reflection of the organisational model. Luckily, aircraft operating manuals and training procedures are so formalised and well established that there is no scope of performance degradation even if one or more crew members are replaced. You want to move fast.

Engineering 61

Engineering Retail Airlines Healthcare 61

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Edge caching.

Architecture 52

Architecture Cache Azure Storage 52