Dynatrace

OCTOBER 23, 2023

Communicating security insights efficiently across teams in your organization isn’t easy Security management is a complex and challenging task; effectively communicating security insights is even more so. Sample dashboard Next, you want to prepare an efficient plan for remediation.

Efficiency 264

Efficiency Best Practices Tuning Internet 264

The Netflix TechBlog

JUNE 13, 2023

We can start by dialing traffic in a single data center to allow for an easier side-by-side comparison of key metrics across data centers, thereby making it easier to observe any deviations in the metrics. One can perform this comparison live on the request path or offline based on the latency requirements of the particular use case.

Traffic 285

Traffic Metrics Systems Strategy 285

Dynatrace

JANUARY 16, 2020

Part two added a few simple examples of how intellectual debt might accrue, highlighting the subtle but real drag on efficiency. Since we began the series pointing out parallels to technical debt, let’s revisit that comparison. Ready for more? Dynatrace Autonomous Cloud Enablement.

Cloud 226

Cloud Artificial Intelligence Virtualization Efficiency 226

DZone

NOVEMBER 7, 2023

In fact, its enduring relevance is a testament to its robustness and efficiency. This blog dives into the intricate world of batch processing for data integration, elucidating its mechanics, advantages, considerations, and standing in comparison to other methodologies.

Processing 189

Processing Architecture Technology Technology 189

Dynatrace

APRIL 21, 2022

Performance efficiency. In comparison, the Dynatrace platform reliably takes that burden off human operators by utilizing its causation-based AI engine, Davis. Performance Efficiency. Design efficient use of your computing resources as demand changes and technologies evolves. Operational excellence. Reliability.

Azure 246

Azure Monitoring Virtualization Metrics 246

The Netflix TechBlog

AUGUST 28, 2020

Bitrate versus quality comparison For a sample of titles from the 4K collection, the following plots show the rate-quality comparison of the fixed-bitrate ladder and the optimized ladder. Mbps, is for a 4K animation title episode which can be very efficiently encoded. The 8-bit stream profiles go up to 1080p resolution.

Network 336

Network Storage Innovation Mobile 336

Dynatrace

NOVEMBER 28, 2023

Davis AI efficiently identified the deployment change as the potential root cause for the malfunctioning of nginx. The framework outlined above provides a comprehensive view of the deployment process and facilitates comparisons across different releases.

Traffic 279

Traffic Best Practices Strategy Engineering 279

Daniel Lemire

FEBRUARY 8, 2019

In some instances, libdivide can even be more efficient than compilers because it uses an approach introduced by Robison (2005) where we not only use multiplications and shifts, but also an addition to avoid arithmetic overflows. What if d is a constant, but not known to the compiler? Then you can use a library like libdivide.

C++ 279

C++ Benchmarking Testing Hardware 279

Scalegrid

JUNE 22, 2020

We are going to use a common, popular plan size using the below configurations for this performance benchmark: Comparison Overview. In this benchmark, we measure MySQL throughput in terms of queries per second (QPS) to measure our query efficiency. DigitalOcean. Instance Type. Medium: 4 vCPUs. Medium: 4 vCPUs. MySQL Version.

Database 217

Database Benchmarking Latency Performance 217

Dynatrace

FEBRUARY 10, 2021

Broad-scale observability focused on using AI safely drives shorter release cycles, faster delivery, efficiency at scale, tighter collaboration, and higher service levels, resulting in seamless customer experiences. Automated release inventory and version comparison. is probably a developer’s “What version are you running?”

Cloud 242

Cloud DevOps Speed Metrics 242

Dynatrace

OCTOBER 8, 2024

Unlike generic DIY query frontends, the Dynatrace Problems app is a tailor-made solution for efficiently supporting operations use cases. The native multi-select feature lets users open a filtered group of problems simultaneously, facilitating quick comparisons and detailed analysis.

Infrastructure 264

Infrastructure Cloud Speed Architecture 264

Dynatrace

MAY 16, 2019

Here’s a quick graphical comparison of the Pivotal Dev-to-Ops ratio, that of the Dynatrace elite category, and the average ratio identified by the survey. As an industry best practice, we like to refer to Pivotal, the developers of Cloud Foundry. Where do you want to spend your time and money?

Innovation 247

Innovation Cloud DevOps Best Practices 247

Dynatrace

SEPTEMBER 27, 2024

Overview page of the Pipeline Observability app Thanks to the open and composable platform architecture and the provided toolset, building a custom app that runs natively within Dynatrace was straightforward and efficient. Same DQL semantics across all CI/CD vendors’ data.

Government 246

Government DevOps Azure Scalability 246

Highly Scalable

SEPTEMBER 18, 2012

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. In comparison with pure anti-entropy, this greatly improves consistency with a relatively small performance penalty. System Coordination. It can be considered as a kind of targeted anti-entropy.

Database 213

Database Latency C++ Scalability 213

DZone

APRIL 17, 2023

After all, the primary purpose of computers is to execute tasks efficiently and swiftly. When you consider the fundamentals of computing, it seems almost magical — at its core, it involves simple arithmetic and logical operations, such as addition and comparison of binary numbers. I enjoy improving application performance.

Performance 147

Performance Games Innovation Efficiency 147

Dynatrace

JANUARY 15, 2020

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace automation and AI-powered monitoring of your entire IT landscape help you to engage your Citrix management tools where they are most efficient.

Latency 52

Latency Performance Virtualization Infrastructure 52

Dynatrace

JANUARY 31, 2024

Model observability provides visibility into resource consumption and operation costs, aiding in optimization and ensuring the most efficient use of available resources. To observe model drift and accuracy, companies can use holdout evaluation sets for comparison to model data.

Cache 276

Cache Azure Infrastructure Monitoring 276

Simform

NOVEMBER 25, 2020

Before settling down to choose one, you have to understand every comparison between the frameworks to ensure that the mobile app developed will have the best quality, efficiency, and fast performance at an affordable or reasonable investment cost.

Mobile 59

Mobile Efficiency Technology Technology 59

The Netflix TechBlog

APRIL 17, 2019

This makes it possible for SVT-AV1 to decrease encoding time while still maintaining compression efficiency. Since that time, Intel’s and Netflix’s teams closely collaborated on SVT-AV1 development, discussing architectural decisions, implementing new tools, and improving the compression efficiency.

Open Source 167

Open Source Scalability Speed Efficiency 167

Dynatrace

MARCH 10, 2021

To start, let’s look at the illustration below to see how these two operate in comparison: Also to note on traditional machine learning: by its very nature of operation it is slow and less agile. It needs to collect a substantial amount of data at the beginning to build a training dataset that an algorithm can begin to learn from.

AWS 221

AWS Cloud Artificial Intelligence Innovation 221

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup.

Cache 130

Cache Storage Architecture Scalability 130

The Netflix TechBlog

SEPTEMBER 24, 2021

Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud 242

Cloud Media Storage Cache 242

Scalegrid

NOVEMBER 4, 2024

The results will help database administrators and decision-makers choose the right platform for their performance, scalability, and cost-efficiency needs. Test Environment Setup Instance Types : We used similar cloud instances for AWS RDS and ScaleGrid to ensure a fair comparison. You can access the benchmark here: [link].

Benchmarking 130

Benchmarking AWS Tuning Metrics 130

The Netflix TechBlog

NOVEMBER 14, 2023

This helps in pinpointing changes and applying blocking audits efficiently. Audits like source-to-target count comparison and checking for no missing events in the target Iceberg snapshot ensure data integrity and completeness. Leveraging Psyberg metadata, we can identify the cohort of data involved as part of the job run.

Processing 234

Processing Data Engineering Efficiency Analytics 234

Scalegrid

OCTOBER 17, 2019

Using a connection pool in each module is hardly efficient: Even with a relatively small number of modules, and a small pool size in each, you end up with a lot of server processes. The architecture of a generic connection-pool. However, modern web applications are rarely monolithic, and often use multiple languages and technologies.

Architecture 200

Architecture Database Latency Servers 200

Highly Scalable

MARCH 1, 2012

In this article I provide a short comparison of NoSQL system families from the data modeling point of view and digest several common modeling techniques. Nevertheless, entry modification is generally less efficient than entry insertion in the majority of implementations. 10) Inverted Search – Direct Aggregation.

Database 279

Database Ecommerce Efficiency Engineering 279

The Netflix TechBlog

FEBRUARY 13, 2023

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. For instance, matching across a series with 10 episodes with an average of 2K shots per episode translates into 200M comparisons.

Media 297

Media Storage Infrastructure Systems 297

The Netflix TechBlog

MARCH 13, 2020

The teams have been working closely on SVT-AV1 development, discussing architectural decisions, implementing new tools, and improving compression efficiency. The SVT-AV1 encoder supports all AV1 tools which contribute to compression efficiency.

Open Source 159

Open Source Efficiency C++ Speed 159

Dynatrace

SEPTEMBER 3, 2020

In comparison, the AIOps approach discussed within this article, is built upon a radically different deterministic AI engine – at Dynatrace known as Davis – that yields precise, actionable results in real-time. These approaches are slow and inaccurate limiting its practical applications. Lost and rebuilt context.

Software 264

Software Software Artificial Intelligence Metrics 264

The Netflix TechBlog

NOVEMBER 29, 2023

Bitrate versus quality comparison HDR-VMAF is designed to be format-agnostic — it measures the perceptual quality of HDR video signal regardless of its container format, for example, Dolby Vision or HDR10. This is achieved by more efficiently spacing the ladder points, especially in the high-bitrate region. The graphic below (Fig.

Open Source 260

Open Source Software Engineering Internet Internet 260

Scalegrid

JULY 17, 2020

JSONB supports indexing the JSON data, and is very efficient at parsing and querying the JSON data. Essentially, this can only be used for whole object comparisons, which has a very limited use case. JSONB stands for “JSON Binary” or “JSON better” depending on whom you ask.

Storage 321

Storage Database Efficiency Availability 321

Scalegrid

JUNE 21, 2024

It presents a wide array of powerful management features that allow users to fine-tune their MongoDB hosting according to their exact requirements, facilitating an efficient and strategically aligned navigational experience. By adopting proactive management and future-readiness, your databases can remain secure and efficient.

Database 130

Database Efficiency Strategy Tuning 130

Dynatrace

JANUARY 31, 2022

Shift-left speeds up development efficiency and reduces costs by detecting and addressing software defects earlier in the development cycle before they get to production. This concept has become increasingly important as teams face pressure to deliver software faster and more frequently with higher quality.

DevOps 246

DevOps Testing Monitoring Speed 246

Dynatrace

JANUARY 31, 2022

Shift-left speeds up development efficiency and reduces costs by detecting and addressing software defects earlier in the development cycle before they get to production. This concept has become increasingly important as teams face pressure to deliver software faster and more frequently with higher quality. Watch webinar.

DevOps 246

DevOps Testing Monitoring Speed 246

High Scalability

SEPTEMBER 7, 2018

Once inside the function, there's nothing wrong with multi-threading to do the work as efficiently as possible. Matthew Dillon : This is *very* impressive efficiency. This is *very* impressive efficiency. @sapessi : Lambda simplifies concurrency at the frontend, enforcing one event per function at a time.

Internet 137

Internet Internet Scalability Lambda 137

VoltDB

OCTOBER 30, 2024

By conducting routine tasks on machinery and infrastructure, organizations can avoid costly breakdowns and maintain operational efficiency. As industries adopt these technologies, preventive maintenance is evolving to support smarter, data-driven decision-making, ultimately boosting efficiency, safety, and cost savings.

Automotive 52

Automotive IoT Artificial Intelligence Energy 52

Dynatrace

JUNE 8, 2021

Continuous improvement of services is the most efficient process for all teams that are looking to improve the performance of their applications by considering all layers of their architecture. Similar to an athlete, the objective here is to have teams always push the limits to become faster and stronger.

Metrics 242

Metrics Tuning Programming Systems 242