DZone

JULY 17, 2023

Apache Spark is a leading platform in the field of big data processing, known for its speed, versatility, and ease of use. However, getting the most out of Spark often involves fine-tuning and optimization. Understanding Apache Spark Apache Spark is a unified computing engine designed for large-scale data processing.

Big Data 130

Big Data Performance Open Source Tuning 130

Dynatrace

DECEMBER 20, 2023

In this episode, Friedman explained the challenges with this process, namely balancing perspectives from across government and industry. In this episode, we also discussed SBOMs in terms of the larger Secure by Design initiative. Secure by Design aims to make software inherently more secure out of the box. SBOM is one of them.”

Government 182

Government Software Software Tuning 182

SQL Performance

SEPTEMBER 17, 2019

This article will cover many areas that database administrators need to be aware of in order to properly license, recover, and tune a Reporting Services installation. The ReportServer and ReportServerTempDB databases are SQL Server databases and should be part of a regular backup process, just like other user databases. Tuning Options.

Tuning 67

Tuning Servers Database Best Practices 67

SQL Performance

JULY 8, 2021

I want to talk about UI design choices that lead to data access patterns that are awkward to implement using SQL Server. The basic unit of SQL tuning is the query. Consider this design: The data behind this example requires counting and processing the entire dataset in order to report the number of results. Conclusion.

Design 92

Design Software Architecture Database Servers 92

Dynatrace

MARCH 26, 2024

“It was an iterative process allowing us to reflect on the past, present, and future of Dynatrace, discuss our findings, and explore the results received in the employee experience discovery.” Stay tuned. ” Dynatrace CEO, Rick McConnell Now, our refreshed Dynatrace Core Values are established.

Innovation 246

Innovation Tuning Strategy Software 246

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. In this way, no human intervention is required in the remediation process. Multi-objective optimizations. user name).

Tuning 210

Tuning Efficiency Big Data Engineering 210

Dynatrace

JANUARY 18, 2024

In a perfect world, a robust AI model can perform complex tasks while users observe the decision process and audit any errors or concerns. More transparency means a better understanding of the technology being used, better troubleshooting, and more opportunities to fine-tune an organization’s tools. Communication methods.

Artificial Intelligence 213

Artificial Intelligence Healthcare Government Technology 213

Percona

AUGUST 31, 2018

Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. The checkpoint process flushes the data into the data files. PostgreSQL writes changes into WAL.

Tuning 54

Tuning Database Performance Benchmarking 54

Dynatrace

AUGUST 17, 2023

Without adequate flexibility in the subscription model, your organization might fail to benefit from capabilities that could transform your observability and security processes. Conversely, with too much flexibility, costs may exceed your budget. Simple configuration of cost notifications.

Monitoring 213

Monitoring Tuning Infrastructure Availability 213

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. offers the Software Watchdog specifically designed for this purpose.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

MAY 17, 2023

To ensure high standards, it’s essential that your organization establish automated validations in an early phase of the software development process—ideally when code is written.

DevOps 187

DevOps Traffic Latency Best Practices 187

The Netflix TechBlog

DECEMBER 8, 2021

We currently process tens of millions of log records every minute and analyze these events to perform in-house custom detections. Once ingested, findings are then enriched and processed with additional metadata collected from Netflix’s internal data sources. One major improvement was a direct time savings for our detection squad.

AWS 196

AWS Cloud Infrastructure Scalability 196

Dynatrace

OCTOBER 7, 2020

Stay tuned for an upcoming blog series where we’ll give you a more hands-on walkthrough of how to ingest any kind of data from StatsD, Telegraf, Prometheus, scripting languages, or our integrated REST API. Telegraf is a plugin-based system for collecting, processing, aggregating, and writing metrics. Stay tuned.

Open Source 255

Open Source Metrics Analytics Tuning 255

The Netflix TechBlog

NOVEMBER 11, 2022

With the help of security experts, we have designed and developed heuristic functions in order to discover a wide range of suspicious behaviors. Unsupervised anomaly detection models do not require any labeled data samples, but it is not straightforward to reliably evaluate their efficacy.

C++ 312

C++ Metrics Tuning Strategy 312

Scalegrid

MARCH 22, 2024

Crafting Your Multi-Cloud Blueprint Formulating a comprehensive multi-cloud framework is an intricate process that requires a business’s specific requirements, choosing suitable cloud services, and optimizing for performance and affordability. They simplify how you orchestrate everything across the diverse ecosystem of cloud services.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

DECEMBER 2, 2021

And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets? As defined by Gartner , service-level objectives are an agreed-upon target within an SLA that must be achieved for each activity, function, and process to provide the best opportunity for customer success.

Metrics 191

Metrics Best Practices DevOps Infrastructure 191

Dynatrace

FEBRUARY 9, 2021

As with all Dynatrace features, Session Replay for crashes in iOS was designed with data privacy in mind. The masking process takes place on the device, even before screenshots are saved to local storage to guarantee that confidential information is never revealed. Safe : This option only masks input fields and images.

Mobile 193

Mobile Tuning Monitoring Storage 193

High Scalability

AUGUST 24, 2021

has hours of system design content. They also do live system design discussions every week. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search. Application security products and processes, however, have not kept up with advances in software development.

Education 100

Education DevOps Infrastructure Benchmarking 100

The Netflix TechBlog

JUNE 15, 2022

Behind the scenes during the indexing process, we have configured the Elasticsearch index with the appropriate analyzers to ensure that the most relevant matches for the input text are returned in the results. either with just the input text or in combination with a filter expression in the search DSL.

Engineering 183

Engineering Architecture Availability Tuning 183

High Scalability

OCTOBER 27, 2021

has hours of system design content. They also do live system design discussions every week. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search. Application security products and processes, however, have not kept up with advances in software development.

Education 100

Education DevOps Infrastructure Benchmarking 100

Dynatrace

OCTOBER 15, 2020

The unique Dynatrace OneAgent for Go monitoring allows you to monitor your statically linked Go processes in the same way as is already possible for dynamically linked Go processes. The recipe of the magic potion that takes away the pain was designed by the marvelous druids of the Dynatrace Go team (see photo below).

Transportation 185

Transportation Monitoring Metrics Code 185

High Scalability

SEPTEMBER 29, 2021

has hours of system design content. They also do live system design discussions every week. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search. Application security products and processes, however, have not kept up with advances in software development.

Education 100

Education DevOps Infrastructure Benchmarking 100

High Scalability

SEPTEMBER 15, 2021

has hours of system design content. They also do live system design discussions every week. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search. Application security products and processes, however, have not kept up with advances in software development.

Education 100

Education DevOps Infrastructure Benchmarking 100

Dynatrace

SEPTEMBER 28, 2021

Your next challenge is ensuring your DevOps processes, pipelines, and tooling meet the intended goal. For example, by measuring deployment frequency daily or weekly, you can determine how efficiently your team is responding to process changes. Lead time for changes helps teams understand how effective their processes are.

DevOps 201

DevOps Metrics Traffic Efficiency 201

The Netflix TechBlog

AUGUST 1, 2022

A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

Processing 272

Processing Transportation Entertainment Tuning 272

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 210

Processing Big Data Efficiency Engineering 210

Dynatrace

AUGUST 29, 2023

Dynatrace has announced that it has successfully achieved the Google Cloud Ready – Cloud SQL designation for Cloud SQL, Google Cloud’s fully-managed, relational database service for MySQL, PostgreSQL, and SQL Server. This designation can also save time in evaluating Dynatrace solutions for organizations that are not already using them.

Google 204

Google Cloud Design Programming 204

Dynatrace

OCTOBER 28, 2021

The discoveries form inputs into the software development and delivery process, so new software and microservices will better stand up to unforeseeable events. Intelligence from chaos testing funnels back to developers who can implement design changes that make software more durable and improve production quality.

Engineering 226

Engineering Entertainment Cloud Infrastructure 226

The Netflix TechBlog

AUGUST 30, 2021

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. In-Order Processing The semantics of correct device information updates ingestion requires that messages be consumed in the order that they are produced.

Latency 213

Latency Traffic Transportation Cloud 213

Percona

DECEMBER 27, 2023

Most organizations are embracing DevSecOps, a term that covers processes and tooling enabling security to be integrated into the application development life cycle rather than treated as a separate process. This fully automated scaling and tuning will enable a serverless-like experience in our Operators and Everest.

Cloud 76

Cloud Open Source Strategy Best Practices 76

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. Get ready for actionable insights that balance technical depth with practical advice.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

O'Reilly

MAY 9, 2023

It means monitoring systems after they are deployed, updating and tuning them as needed because any model will eventually grow “stale” and start performing badly. It means designing systems that augment and liberate human capabilities, rather than replacing them. They might refuse to design weapons for biological warfare.

Infrastructure 88

Infrastructure Government Design Tuning 88

Percona

DECEMBER 13, 2023

MySQL 8 introduces Error Log Filtering as a mechanism to fine-tune the error log, allowing administrators to focus on the most critical issues. By maintaining a cleaner and more relevant error log, administrators can streamline the troubleshooting and monitoring processes.

Database 89

Database Open Source Tuning Traffic 89

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 229

Processing Media Latency Innovation 229

Percona

MAY 8, 2023

Improved design The new Inventory page now provides a much clearer design and emphasizes useful information while downplaying reference details like service labels and IDs. Stay tuned! Let’s review all of these changes separately. Now, we are showing this information in a dedicated Node Name column on this page.

Monitoring 75

Monitoring Database Metrics Tuning 75

HammerDB

APRIL 19, 2023

sysbench is a widely used open-source benchmarking tool that is designed to evaluate the performance of CPU, memory, disk I/O, and database systems. In the context of MySQL performance evaluation, it simulates a typical online transaction processing (OLTP) workload on your MySQL database. Instead, use the default settings.

Performance 54

Performance Benchmarking Cache Storage 54