DZone

JUNE 6, 2023

When dealing with IoT, one of the first things that come to mind is the limited processing, networking, and storage capabilities these devices operate with. A messaging protocol is a set of rules and formats that are agreed upon among entities that want to communicate with each other.

IoT 305

IoT Tuning Storage Network 305

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 235

Processing Media Latency Innovation 235

DZone

JUNE 13, 2024

Relational Databases are the bedrock of any FinTech application, especially for OLTP (Online transaction Processing). This foundational component in any application architecture usually poses challenges around scaling as the business expands rapidly.

FinTech 262

FinTech Tuning AWS Database 262

Dynatrace

FEBRUARY 25, 2025

This blog post dissects the vulnerability, explains how Struts processes file uploads, details the exploit mechanics, and outlines mitigation strategies. This allows developers to easily access and process the file without handling the upload mechanics directly. Complete mitigation is only guaranteed in Struts version 7.0.0

Servers 214

Servers Processing Java Tuning 214

DZone

FEBRUARY 4, 2025

Understanding Teradata Data Distribution and Performance Optimization Teradata performance optimization and database tuning are crucial for modern enterprise data warehouses.

Performance 173

Performance Tuning Analytics Strategy 173

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 216

Processing Big Data Efficiency Engineering 216

Scalegrid

FEBRUARY 6, 2025

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. RabbitMQ follows a message broker model with advanced routing, while Kafkas event streaming architecture uses partitioned logs for distributed processing. What is Apache Kafka?

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

OCTOBER 29, 2024

In addition to service-level monitoring, certain services within the OpenTelemetry demo application expose process-level metrics, such as CPU and memory consumption, number of threads, or heap size for services written in different languages. So, stay tuned for more enhancements and features. This is just the beginning.

Metrics 246

Metrics Tuning Monitoring Availability 246

DZone

AUGUST 30, 2023

Hyperparameter tuning is an essential practice in optimizing the performance of machine learning models. This article provides an in-depth exploration of advanced hyperparameter tuning methods, including Population-Based Training (PBT), BOHB, ASHA, TPE, Optuna, DEHB, Meta-Gradient Descent, BOSS, and SNIPER.

Tuning 147

Tuning Government Network Processing 147

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. This significantly increases event latency.

Engineering 245

Engineering Tuning Latency Open Source 245

The Netflix TechBlog

DECEMBER 17, 2024

As Netflix expanded globally and the volume of title launches skyrocketed, the operational challenges of maintaining this manual process became undeniable. Metadata and assets must be correctly configured, data must flow seamlessly, microservices must process titles without error, and algorithms must function as intended.

Traffic 170

Traffic Scalability Strategy Monitoring 170

DZone

JUNE 17, 2020

To completely fine-tune the java performance bottlenecks for high performance my answer is YES. Java memory management is a significant challenge for every performance engineer and Java developer, and a skill that needs to be acquired to have Java applications properly tuned.

Java 305

Java Performance Testing Performance Testing 305

The Netflix TechBlog

NOVEMBER 12, 2024

Introducing sufficient jitter to the flush process can further reduce contention. By creating multiple topic partitions and hashing the counter key to a specific partition, we ensure that the same set of counters are processed by the same set of consumers. This process can also be used to track the provenance of increments.

Latency 248

Latency Cache Infrastructure Strategy 248

The Netflix TechBlog

MARCH 4, 2025

As a result, requests are uniformly handled, and responses are processed cohesively. This data is processed from a real-time impressions stream into a Kafka queue, which our title health system regularly polls. This centralized format, defined and maintained by our team, ensures all endpoints adhere to a consistent protocol.

Traffic 172

Traffic Strategy Entertainment Innovation 172

Dynatrace

MAY 2, 2024

Across the globe, privacy laws grant individuals data subject rights, such as the right to access and delete personal data processed about them. 2] — Nader Henein, VP Analyst, Gartner The Privacy Rights app is designed to streamline this process in Dynatrace.

Tuning 278

Tuning Scalability Efficiency Processing 278

Dynatrace

OCTOBER 4, 2024

Today, development teams suffer from a lack of automation for time-consuming tasks, the absence of standardization due to an overabundance of tool options, and insufficiently mature DevSecOps processes. This process begins when the developer merges a code change and ends when it is running in a production environment.

Software 278

Software Software Development Performance 278

Dynatrace

MAY 21, 2024

This includes digging through each monitored data source and adding tags to the sensitive data points; this process is usually expensive, exhausting, error-prone, and unscalable. The selected rules can be configured for a whole environment or, more granularly, for specific process groups.

Government 277

Government Storage Tuning Monitoring 277

The Netflix TechBlog

MAY 4, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This technique facilitates validation on multiple fronts.

Traffic 345

Traffic Latency Tuning Systems 345

Dynatrace

JUNE 5, 2023

Tune in to learn how innovation can help government agencies gain control of open source security, manage risk, and secure the next generation of technology. First, set up a process to capture, report, and act on results following regular dependency scans. Stephen Magill of Sonatype joins the podcast to ease concerns. Stay up to date.

Open Source 244

Open Source Technology Technology Social Media 244

Dynatrace

JULY 6, 2022

At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.

Artificial Intelligence 246

Artificial Intelligence Tuning Strategy Big Data 246

Dynatrace

JANUARY 26, 2021

DevSecOps is a cross-team collaboration framework that integrates security into DevOps processes from the start rather than waiting to address security in a separate silo. DevOps has gained ground in recent years as a way to combine key operational principles with development cycles, recognizing that these two processes must coexist.

DevOps 306

DevOps Best Practices Open Source Tuning 306

DZone

DECEMBER 14, 2021

Meanwhile, understanding the internal process is important in order to tune the performance. Metadata synchronization (sync) is a core feature in Alluxio that keeps files and directories consistent with their source of truth in under-storage systems, thus making it simple for users to reason the data retrieved from Alluxio.

Design 244

Design Storage Tuning Systems 244

Scalegrid

MARCH 23, 2020

The Pgpool-II parent process forks 32 child processes by default – these are available for connection. The architecture is similar to PostgreSQL server: one process = one connection. It also forks the ‘pcp process’ which is used for administrative tasks, and beyond the scope of this post. Stay tuned!

Cache 264

Cache Servers Architecture Processing 264

Scalegrid

FEBRUARY 24, 2025

Proper setup involves creating a configuration process that accounts for hostname changes, which could prevent nodes from rejoining the cluster. Message load balancing guarantees that messages are processed evenly across different queues and nodes within the RabbitMQ system. Erlang is the backbone of RabbitMQ clustering.

Best Practices 147

Best Practices Traffic Strategy Scalability 147

Dynatrace

JUNE 16, 2022

These application security testing approaches often do not have enough insight into real-time data and event flows to prevent vulnerabilities from slipping through the review process. This reduces false positives in your DevSecOps process. These limitations include the following: High tuning and monitoring overhead.

Tuning 246

Tuning Cloud Open Source Network 246

Dynatrace

MARCH 13, 2025

Traces, metrics, and logs are already well covered, but interesting enhancements are being made frequently, so stay tuned. In this example, well deploy the OpenTelemetry demo application to send telemetry directly to Dynatrace using OTLP so you can see how Dynatrace presents the OTel data without the additional context OneAgent provides.

Open Source 147

Open Source Metrics Architecture Infrastructure 147

Dynatrace

JULY 11, 2024

Dynatrace Grail™ is a data lakehouse optimized for high performance, automated data collection and processing, and queries of petabytes of data in real time. Another consideration is compliance with end-user privacy rights to delete personal data processed about them in line with data protection laws like GDPR and CCPA.

Storage 264

Storage Government Best Practices Media 264

Dynatrace

APRIL 28, 2022

To stay tuned, keep an eye on our release notes. On the details page of a vulnerability, the number of affected process groups for vulnerable functions in use now links to remediation tracking , where filtering is now also possible by the name of a vulnerable function in use. This will happen with Dynatrace version 1.242 or later.

Tuning 245

Tuning Network Monitoring Availability 245

Dynatrace

NOVEMBER 24, 2020

Tracking changes to automated processes, including auditing impacts to the system, and reverting to the previous environment states seamlessly. The ultimate goal of each of these reviews is to identify gaps, quantify risk, and develop recommendations for improving the team, processes, and architecture with each of the five pillars.

AWS 221

AWS Artificial Intelligence Best Practices Lambda 221

Dynatrace

APRIL 3, 2023

In this episode, Dimitris discusses the many different tools and processes they use. Tune in to the full episode to learn more about the UK Home Office’s cloud journey and how Dimitris navigates this large-scale environment to deliver essential services efficiently. It also helps reduce the agency’s carbon footprint.

Efficiency 246

Efficiency Social Media Artificial Intelligence Cloud 246

Scalegrid

JULY 13, 2020

Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. of PostgreSQL users are currently in the process of migrating to the RDBMS, according to the 2019 PostgreSQL Trends Report , an astounding percentage considering this is the 4th most popular database in the world.

Open Source 244

Open Source C++ Tuning Database 244

The Netflix TechBlog

JUNE 7, 2021

Berkeley Packet Filter (BPF) is an in-kernel execution engine that processes a virtual instruction set, and has been extended as eBPF for providing a safe way to extend kernel functionality. After several iterations of the architecture and some tuning, the solution has proven to be able to scale. What is BPF?

Network 327

Network Transportation AWS Cloud 327

The Netflix TechBlog

JUNE 30, 2020

In an effort to effectively and efficiently produce this content we are looking to improve and automate many areas of the production process. Production: Enable content creation from script to screen that optimizes the production process for efficiency and transparency.

Engineering 241

Engineering Entertainment Logistics Innovation 241

Dynatrace

MARCH 11, 2021

I wanted to understand how I could tune Dynatrace’s problem detection, but to do that I needed to understand the situation first. If during the ticket handling another alert is raised this process repeats – but maybe with a different set of people who are working in parallel. Stay tuned! Lessons learned.

Tuning 264

Tuning Architecture Monitoring Big Data 264

Dynatrace

APRIL 16, 2024

The shift-left approach aims to ensure bugs and other issues are discovered and addressed early in the development process, leading to improved software quality and lower costs associated with late-stage troubleshooting. Why the sudden change in tune? Instead, it’s now prelevant throughout the entire lifecycle. Well, it’s simple.

Development 264

Development Software Software Tuning 264

Dynatrace

MAY 10, 2019

We’re expecting RHEL and Dynatrace customers to start the migration process to RHEL 8 soon. We’re happy to say that we’ve already tested OneAgent version 1.167 with RHEL 8 and we’re now in the process of wrapping up the certification process for Dynatrace OneAgent with Red Hat.

Tuning 194

Tuning Cloud Technology Technology 194

The Netflix TechBlog

FEBRUARY 18, 2022

Event Prioritization Considering the use cases were wide ranging both in terms of their sources and their importance, we built segmentation into the event processing. We thus assigned a priority to each use case and sharded event traffic by routing to priority-specific queues and the corresponding event processing clusters.

Systems 334

Systems Traffic Architecture Mobile 334