Dynatrace

MAY 17, 2023

The Dynatrace Site Reliability Guardian is designed for this practice; it allows development teams to define quality objectives in their code, which is validated throughout the delivery process before the code reaches production. The queries are depicted below (sensitive data has been removed).

DevOps 186

DevOps Traffic Latency Best Practices 186

The Netflix TechBlog

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. We have also noted a great potential for further improvement by model tuning (see the section of Rollout in Production).

Tuning 210

Tuning Efficiency Big Data Engineering 210

Percona

APRIL 13, 2023

In PostgreSQL, replication lag can occur due to various reasons such as network latency, slow disk I/O, long-running transactions, etc. Replication lag can occur due to various reasons, such as: Network latency: Network latency is the delay caused by the time it takes for data to travel between the primary and standby databases.

Latency 83

Latency Tuning Open Source Network 83

Percona

NOVEMBER 3, 2023

Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

Database 106

Database Benchmarking Latency C++ 106

InfoQ

JANUARY 26, 2024

The company evolved the guild component, which is responsible for fanning out billions of message notifications, in a series of performance and scalability improvements supported by system observability and performance tuning. By Rafal Gancarz

Servers 103

Servers Tuning Scalability Performance 103

John McCalpin

APRIL 25, 2023

To understand what is happening here, we need to understand the way memory bandwidth interacts with memory latency and the concurrency (parallelism) of memory accesses. Stay tuned! That is the topic of the next blog entry. (“Real Soon Now”) Can this problem be fixed? On a VE20B (8 cores, 1.6

Benchmarking 97

Benchmarking Cache Latency Tuning 97

Dynatrace

JULY 24, 2023

Answer-driven DevOps automation goes beyond creating tickets and extends to executing workflows designed to extract ownership information and then route the ticket to the responsible teams. Consider an event-driven automation system designed for incident management.

DevOps 219

DevOps Traffic Efficiency Servers 219

Percona

MAY 1, 2023

I’ll show you some MySQL settings to tune to get better performance, and cost savings, with AWS RDS. ” Yes, this is true, io2 volumes are expensive, and honestly, I think they should be used only where really high IO capacity at expected latencies is required, and this didn’t seem to be the case.

AWS 121

AWS Hardware Storage Tuning 121

The Morning Paper

NOVEMBER 10, 2019

It’s been clear for a while that software designed explicitly for the data center environment will increasingly want/need to make different design trade-offs to e.g. general-purpose systems software that you might install on your own machines. The desire for CPU efficiency and lower latencies is easy to understand.

Network 92

Network Transportation Latency Entertainment 92

The Netflix TechBlog

AUGUST 30, 2021

In addition, unlike other SQL stores, CockroachDB is designed from the ground up to be horizontally scalable, which addresses our concerns about Cloud Registry’s ability to scale up with the number of devices onboarded onto the Device Management Platform. million elements. this is configurable through enable.auto.commit.

Latency 213

Latency Traffic Transportation Hardware 213

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. Consistently evaluating and tuning resource allocations based on use patterns helps prevent overprovisioning and reduces unnecessary expenses. Scalegrid: Your Multi-Cloud Strategy Solution ScaleGrid.io

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

APRIL 26, 2022

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). One use case for STM is to model the behavior of a customer in the form of a flow of transactions along the buyer’s journey.

Monitoring 202

Monitoring Social Media IoT Metrics 202

Dynatrace

DECEMBER 22, 2019

But to understand if your cloud-based applications, as well as environments they run in, are working as designed, you need to see how every single application component communicates and interacts with the others. The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Requirements.

AWS 136

AWS Metrics IoT Storage 136

Dynatrace

DECEMBER 22, 2019

But to understand if your cloud-based applications, as well as environments they run in, are working as designed, you need to see how every single application component communicates and interacts with the others. The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Requirements.

AWS 133

AWS Metrics IoT Storage 133

Dynatrace

DECEMBER 2, 2021

By shifting production-level SLOs left into development , you can design apps to meet production SLOs to increase resilience and reliability far before there is actual downtime. You can set SLOs based on individual indicators, such as batch throughput, request latency, and failures-per-second. SLO best practices.

Metrics 190

Metrics Best Practices DevOps Infrastructure 190

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Smashing Magazine

NOVEMBER 8, 2021

As developers, we rightfully obsess about the customer experience, relentlessly working to squeeze every millisecond out of the critical rendering path, optimize input latency, and eliminate jank. Stay tuned for more in 2022! Continue reading below ↓ Meet Smart Interface Design Patterns , with Vitaly Friedman.

Cache 136

Cache Best Practices Strategy Servers 136

The Morning Paper

JULY 7, 2019

More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. Today it’s the turn of Microsoft. To address this, rigorous rollout processes are required.

Software Engineering 92

Software Engineering Engineering Software Software 92

The Morning Paper

MARCH 17, 2020

higher latency and lower bandwidth)… We have found the actual behavior of Optane DIMMs to be more complicated and nuanced than the "slower, persistent DRAM" label would suggest. The read latency for Optane is 2x-3x higher than DRAM. Optane DIMMs are here! Optane memory is also more pattern-dependent than DRAM. to 0.98.

Scalability 59

Scalability Latency Cache Media 59

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

MAY 21, 2019

This boils down to a single digit µs latency toleration in the tail for far memory, and in addition to security and privacy concerns, rules out remote memory solutions. Thus we’re fundamentally trading (de)-compression latency at access time for the ability to pack more data in memory. ML-based auto-tuning. Evaluation.

Software 78

Software Software Google Hardware 78

SQL Performance

APRIL 27, 2020

This way they can know that there is always a minimum compute level available, and they can always automatically scale to a designated compute level. This works well for many SQL Server workloads, however, there have been use cases for a lower CPU latency and higher clock speed for CPU-heavy workloads and a need for higher memory per vCore.

Azure 55

Azure Database Serverless Hardware 55

O'Reilly

JANUARY 16, 2024

I’m personally interested in this topic since I am a professor who researches human-computer interaction, user experience design, and cognitive science , so AI voice interfaces are fascinating to me. I’ve recently been brainstorming ideas for how to design such a system and how to deal with the practical challenges of scaling and maintenance.

Entertainment 73

Entertainment Internet Internet Design 73

IO River

NOVEMBER 15, 2023

For example, if a request activates a rule designed to block SQL injection attempts, the WAF might automatically block that request, preventing it from reaching your web application.‍Security Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture.

Traffic 52

Traffic Network Logistics Architecture 52

IO River

NOVEMBER 2, 2023

For example, if a request activates a rule designed to block SQL injection attempts, the WAF might automatically block that request, preventing it from reaching your web application.‍Security Flywheel‍‍When it comes to fortifying web applications, think of security as a flywheel—an ever-revolving cycle that gains momentum with each turn.

Traffic 40

Traffic Network Logistics Architecture 40

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

The Morning Paper

MARCH 10, 2020

So if you want to design a system that will offer good real-world performance, it’s really useful to have benchmarks that accurately represent real-world workloads. YCSB lets you tune the query type ratio, KV-pair hotness distribution, and value size distribution. FAST’20. You get good at what you practice.

Benchmarking 59

Benchmarking Storage Cache Open Source 59

The Netflix TechBlog

DECEMBER 21, 2020

This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture. These principles reduce resource usage by being more efficient and effective while lowering the end-to-end latency in data processing. Transparency to end-users.

Storage 203

Storage Latency Efficiency Data Engineering 203

John McCalpin

JANUARY 22, 2018

Each of the two vector units can issue one FMA instruction per cycle, assuming that there are enough independent accumulators to tolerate the 6-cycle dependent-operation latency. of the “adjusted peak performance”, there is no longer a significant upside to performance tuning. vfmadd213pd %zmm16, %zmm17, %zmm26.

Latency 40

Latency Hardware Code Testing 40

InfoQ

APRIL 15, 2024

At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. He specifically delved into Venice DB, the NoSQL data store used for feature persistence. The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning.

Artificial Intelligence 106

Artificial Intelligence Big Data Data Engineering Latency 106

InfoQ

DECEMBER 27, 2023

LinkedIn announced that it would be moving to gRPC with Protocol Buffers for the inter-service communication in its microservices platform, where previously an open-source Rest.li framework was used with JSON as a primary serialization format.

Open Source 142

Open Source Latency Tuning Scalability 142

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. They enable us to further fine-tune and configure the system, ensuring the new changes are integrated smoothly and seamlessly.

Traffic 279

Traffic Metrics Systems Strategy 279

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case. divide the input video into small chunks 2.

Processing 229

Processing Media Latency Innovation 229

Brendan Gregg

MAY 16, 2017

We're on the EC2 cloud, which has great scalability, and our own cloud architecture of microservices is also designed for scalability. A latency outlier issue that happened every 15 minutes. That'd make a great story, but it didn't happen. But there was no single crisis point. Java core dump analysis for a crashing JVM. -

Java 75

Java Entertainment Engineering Scalability 75

The Netflix TechBlog

MARCH 1, 2021

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. The subsystems all communicate with each other asynchronously via Timestone, a high-scale, low-latency priority queuing system. Warm capacity.

Serverless 228

Serverless Media Latency Social Media 228

The Netflix TechBlog

SEPTEMBER 24, 2021

Uploading and downloading data always come with a penalty, namely latency. Figure 2: Cloud Resource and Job Sizes This initial architecture was designed at a time when packaging from a list of chunks was not possible and terabyte-sized files were not considered. thus making this design viable. at most few parts at a time?—?thus

Cloud 237

Cloud Media Storage Cache 237

The Netflix TechBlog

OCTOBER 27, 2020

The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. How Bulldozer leverages Spark, Protobuf and KV DAL for moving the data.

Latency 243

Latency Storage Big Data Tuning 243