Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process.

Serverless 246

Serverless Efficiency Lambda AWS 246

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 193

Engineering Tuning Latency Open Source 193

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 238

Tuning Scalability Efficiency Processing 238

DZone

MARCH 13, 2024

As software engineers, we are always striving for high performance and efficiency in our code. Whether it’s optimizing algorithms or fine-tuning data structures, every decision we make can have a significant impact on the overall performance of our applications.

Benchmarking 147

Benchmarking Tuning Performance Open Source 147

The Netflix TechBlog

SEPTEMBER 18, 2024

Our goal was to build a versatile and efficient data storage solution that could handle a wide variety of use cases, ranging from the simplest hashmaps to more complex data structures, all while ensuring high availability, tunable consistency, and low latency. Cassandra), ensuring fast and efficient access.

Latency 248

Latency Storage Cache Efficiency 248

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52

Tuning Database Performance Hardware 52

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.

Tuning 214

Tuning Efficiency Big Data Engineering 214

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. However, to ensure a level playing field regarding connection handling, we tuned ScaleGrid’s instances to allow 830 connections. You can access the benchmark here: [link].

Benchmarking 130

Benchmarking AWS Tuning Metrics 130

DZone

JANUARY 6, 2024

Profile-Guided Optimization (PGO) stands as a potent technique capable of substantially enhancing the efficiency of your Java programs. By harnessing runtime profiling data, PGO empowers developers to fine-tune their code and apply optimizations that align with their application's real-world usage patterns.

Java 189

Java Performance Tuning Programming 189

The Netflix TechBlog

MARCH 5, 2024

Operational simplicity Service owners often reach out to us with questions about excessive pause times and for help with tuning. We have several frameworks that periodically refresh large amounts of on-heap data to avoid external service calls for efficiency. No explicit tuning has been required to achieve these results.

Latency 234

Latency Java Tuning Efficiency 234

The Netflix TechBlog

OCTOBER 8, 2024

Building on these foundational abstractions, we developed the TimeSeries Abstraction  — a versatile and scalable solution designed to efficiently store and query large volumes of temporal event data with low millisecond latencies, all in a cost-effective manner across various use cases. Let’s dive into the various aspects of this abstraction.

Latency 236

Latency Storage Traffic Tuning 236

DZone

MARCH 7, 2023

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. In addition, pySpark applications can be tuned to optimize performance and achieve better execution time, scalability, and resource utilization.

Big Data 173

Big Data Code Tuning Open Source 173

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 202

Artificial Intelligence Tuning Strategy Big Data 202

Dynatrace

JULY 22, 2024

Using OpenTelemetry, developers can collect and process telemetry data from applications, services, and systems. The OpenTelemetry Protocol (OTLP) plays a critical role in this framework by standardizing how systems format and transport telemetry data, ensuring that data is interoperable and transmitted efficiently.

Latency 246

Latency Best Practices Metrics Open Source 246

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 218

Development Software Software Tuning 218

DZone

AUGUST 16, 2019

Application scalability is the potential of an application to grow in time, being able to efficiently handle more and more requests per minute (RPM). It’s not just a simple tweak you can turn on/off; it’s a long-time process that touches almost every single item in your stack, including both hardware and software sides of the system.

Scalability 131

Scalability Efficiency Hardware Software 131

Dynatrace

JULY 30, 2024

Having end-to-end visibility across the entire IT environment and validating our findings with customers and partners, we identified four key pain points DORA surfaces and how we think Dynatrace helps turn them into opportunities to innovate while increasing security, resiliency, and efficiency.

Government 153

Government Innovation Analytics Open Source 153

The Netflix TechBlog

SEPTEMBER 10, 2024

The voice service then constructs a message for the device and places it on the message queue, which is then processed and sent to Pushy to deliver to the device. With these clear benefits, we continued to build out this functionality for more devices, enabling the same efficiency wins. It served Pushy’s needs well for many years.

Latency 228

Latency Cache Tuning Efficiency 228

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 218

Storage Government Best Practices Media 218

Dynatrace

JULY 30, 2024

Having end-to-end visibility across the entire IT environment and validating our findings with customers and partners, we identified four key pain points DORA surfaces and how we think Dynatrace helps turn them into opportunities to innovate while increasing security, resiliency, and efficiency.

Government 147

Government Innovation Analytics Open Source 147

The Netflix TechBlog

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. We’ll return to the sample customer lifecycle: Processing Requirement : Keep track of the end-of-hour state of accounts, e.g., Active/Upgraded/Downgraded/Canceled.

Processing 249

Processing Tuning C++ Efficiency 249

Scalegrid

AUGUST 27, 2024

Learn how RabbitMQ can boost your system’s efficiency and reliability in these practical scenarios. Key features of RabbitMQ, such as message acknowledgments, complex routing, and asynchronous processing, contribute to system reliability and performance. What is a Message Queue?

Ecommerce 130

Ecommerce IoT Games Scalability 130

Dynatrace

JANUARY 30, 2024

You don’t really gain the efficiencies or the objectives that you need to be [gaining].” Johnson also shared how his team is using AI to automate certain talent management processes, such as expediting applicant-job matching and aligning training and certification offerings with workforce skill gaps. Download now!

Artificial Intelligence 215

Artificial Intelligence Government Innovation Programming 215

Dynatrace

JANUARY 18, 2024

Automation and analysis features, in particular, have boosted operational efficiency and performance by tracking and responding to complex or information-dense situations. In a perfect world, a robust AI model can perform complex tasks while users observe the decision process and audit any errors or concerns. Communication methods.

Artificial Intelligence 225

Artificial Intelligence Healthcare Government Technology 225

The Netflix TechBlog

JUNE 20, 2024

To handle errors efficiently, Netflix developed a rule-based classifier for error classification called “Pensive.” Creating new development environments is cumbersome: Populating them with data is compute-intensive, and the deployment process is error-prone, leading to higher costs, slower iteration, and unreliable data.

Data Engineering 204

Data Engineering Engineering Entertainment Software Engineering 204

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 224

Latency Cache Infrastructure Strategy 224

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. ” A data warehouse, on the other hand, is an efficient and fast option for querying data.

Analytics 201

Analytics Infrastructure Storage Architecture 201

Dynatrace

NOVEMBER 6, 2023

Recently, the Parliament of India released the Digital Personal Data Protection Act 2023 , which regulates the processing of digital personal data in India and recognizes the right of individuals to protect their data in India. Dynatrace is already supported in 17 local regions on three hyperscalers (AWS, Azure, and GCP).

AWS 249

AWS Azure Tuning Analytics 249

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 225

Efficiency Best Practices Tuning Internet 225

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 281

DevOps Best Practices Open Source Tuning 281

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 59

Tuning Database Performance Benchmarking 59

Dynatrace

MARCH 29, 2024

.” While Kubernetes’ usability and ubiquity make it the ideal environment for cloud-based production tasks, operational oversight and resource management challenges can frustrate DevOps efforts to drive efficiency. “The welcome screen gives you a high-level overview of what’s happening,” Mayr said.

Engineering 239

Engineering DevOps Operating System Open Source 239

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 187

Metrics Tuning Monitoring Availability 187

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

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. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

JULY 18, 2023

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. However, scaling up software development requires more tools along the software product lifecycle, which must be configured promptly and efficiently. The screenshot below displays such a configuration.

Best Practices 203

Best Practices Code Infrastructure Latency 203

Brendan Gregg

DECEMBER 30, 2017

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. We help where we can. Check them out. html [Introducing Nitro]: [link]

Tuning 52

Tuning AWS Best Practices Network 52