Dynatrace

NOVEMBER 18, 2024

Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies. The Grail™ data lakehouse provides fast, auto-indexed, schema-on-read storage with massively parallel processing (MPP) to deliver immediate, contextualized answers from all data at scale.

Cloud 263

Cloud Azure Artificial Intelligence Innovation 263

Dynatrace

NOVEMBER 27, 2024

Sometimes, introducing new IT solutions is delayed or canceled because a single business unit can’t manage the operating costs alone, and per-department cost insights that could facilitate cost sharing aren’t available. Costs and their origin are transparent, and teams are fully accountable for the efficient usage of cloud resources.

Best Practices 246

Best Practices Strategy Cloud Efficiency 246

The Netflix TechBlog

NOVEMBER 12, 2024

Both categories share common requirements, such as high throughput and high availability. Eventually Consistent Global Counter While some users may accept the limitations of a Best-Effort counter, others opt for precise counts, durability and global availability.

Latency 251

Latency Cache Infrastructure Strategy 251

Dynatrace

JANUARY 21, 2025

Ensuring smooth operations is no small feat, whether you’re in charge of application performance, IT infrastructure, or business processes. Activate Davis AI to analyze charts within seconds Davis AI can help you expand your dashboards and dive deeper into your available data to extract additional information.

Traffic 262

Traffic Metrics Analytics Monitoring 262

Dynatrace

OCTOBER 10, 2024

This feature, available by default for OTel-instrumented services, allows users a standard way to measure and compare response times across different services consistently. These histograms are more efficient in carrying a high dynamic range of different values and ensure that the relative error for every bucket remains stable.

Metrics 240

Metrics Monitoring Efficiency Availability 240

Dynatrace

FEBRUARY 4, 2025

In this blog post, we will see how Dynatrace harnesses the power of observability and analytics to tailor a new experience to easily extend to the left, allowing developers to solve issues faster, build more efficient software, and ultimately improve developer experience!

Development 235

Development Analytics Code Architecture 235

Dynatrace

MAY 8, 2023

This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency? Lost efficiency.

DevOps 246

DevOps Efficiency Monitoring Infrastructure 246

Scalegrid

SEPTEMBER 5, 2024

Managing High Availability (HA) in your PostgreSQL hosting is very important to ensuring your database deployment clusters maintain exceptional uptime and strong operational performance so your data is always available to your application. Effective management of failover and switchover operations is crucial for high availability.

Availability 257

Availability Servers Database Open Source 257

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 273

Processing Transportation Entertainment Tuning 273

Dynatrace

JULY 24, 2024

By leveraging Dynatrace observability on Red Hat OpenShift running on Linux, you can accelerate modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes. Dynatrace observability is available for Red Hat OpenShift on IBM Power.

Availability 279

Availability Infrastructure Metrics Monitoring 279

Dynatrace

MARCH 12, 2024

The business process observability challenge Increasingly dynamic business conditions demand business agility; reacting to a supply chain disruption and optimizing order fulfillment are simple but illustrative examples. Most business processes are not monitored. First and foremost, it’s a data problem.

Processing 279

Processing Monitoring Analytics C++ 279

Dynatrace

MAY 17, 2022

The application consists of several microservices that are available as pod-backed services. This solution offers both maximum efficiency and adherence for the toughest privacy or compliance demands. Information about each of these topics will be available in upcoming announcements. The following example drives the point home.

Availability 348

Availability Scalability Cloud Metrics 348

The Netflix TechBlog

FEBRUARY 14, 2025

It requires a state-of-the-art system that can track and process these impressions while maintaining a detailed history of each profiles exposure. In this multi-part blog series, we take you behind the scenes of our system that processes billions of impressions daily.

Tuning 166

Tuning Latency Efficiency Storage 166

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 Azure 246

Scalegrid

FEBRUARY 24, 2025

This guide will cover how to distribute workloads across multiple nodes, set up efficient clustering, and implement robust load-balancing techniques. Implementing clustering and quorum queues in RabbitMQ significantly improves load distribution and data redundancy, ensuring high availability and fault tolerance for messaging services.

Best Practices 147

Best Practices Traffic Strategy Scalability 147

Dynatrace

OCTOBER 3, 2024

The end goal, of course, is to optimize the availability of organizations’ software. Dynatrace AI increases efficiency by magnitudes and prevents alert storms. Dynatrace is widely recognized for its AI capabilities’ ability to predict and prevent issues, and automatically identify root causes, maximizing availability.

Availability 278

Availability DevOps Analytics Cloud 278

Dynatrace

JANUARY 15, 2025

Here’s how Dynatrace can help automate up to 80% of technical tasks required to manage compliance and resilience: Understand the complexity of IT systems in real time Proactively prevent, prioritize, and efficiently manage performance and security incidents Automate manual and routine tasks to increase your productivity 1.

Systems 264

Systems DevOps Analytics Monitoring 264

Dynatrace

OCTOBER 23, 2023

This leads to a more efficient and streamlined experience for users. Lastly, monitoring and maintaining system health within a virtual environment, which includes efficient troubleshooting and issue resolution, can pose a significant challenge for IT teams. We’re always looking for feedback and opportunities to improve.

Efficiency 264

Efficiency Virtualization Hardware Performance 264

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 RabbitMQ?

Latency 147

Latency Analytics Architecture Storage 147

The Netflix TechBlog

MARCH 28, 2025

The impetus for constructing a foundational recommendation model is based on the paradigm shift in natural language processing (NLP) to large language models (LLMs). These insights have shaped the design of our foundation model, enabling a transition from maintaining numerous small, specialized models to building a scalable, efficient system.

Tuning 165

Tuning Efficiency Latency Strategy 165

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. For this purpose, we’ll use the in-built failure scenarios included in the OpenTelemetry demo.

Metrics 246

Metrics Tuning Monitoring Availability 246

DZone

NOVEMBER 7, 2023

Among the spectrum of methodologies available for this task, batch processing is often considered an old guard, especially with the advent of real-time and event-based processing technologies. However, it would be a mistake to dismiss batch processing as an antiquated approach.

Processing 189

Processing Architecture Technology Technology 189

Dynatrace

JULY 31, 2020

We’re happy to announce the General Availability of cross-environment dashboarding capabilities (having released this functionality in an Early Adopter release with Dynatrace version 1.172 back in June 2019). This gives you a boost in efficiency when managing multiple environments. Dynatrace news.

Availability 257

Availability Best Practices Monitoring Network 257

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

Processing 234

Processing Data Engineering Efficiency Analytics 234

Dynatrace

OCTOBER 16, 2024

Kickstart your creation journey using ready-made dashboards and notebooks Creating dashboards and notebooks from scratch can take time, particularly when figuring out available data and how to best use it. Kickstarting the dashboard creation process is, however, just one advantage of ready-made dashboards.

Social Media 263

Social Media Metrics Network Analytics 263

Scalegrid

FEBRUARY 27, 2025

Heres what stands out: Key Takeaways Better Performance: Faster write operations and improved vacuum processes help handle high-concurrency workloads more smoothly. Incremental Backups: Speeds up recovery and makes data management more efficient for active databases. Start your free trial today!

Speed 130

Speed Database Storage Efficiency 130

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. Many of the metadata and assets involved in title setup have specific timelines for when they become available to members.

Traffic 180

Traffic Strategy Entertainment Innovation 180

Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. Data is then dynamically routed into pipelines for further processing. Such transformations can reduce storage costs by 99%.

Analytics 272

Analytics Processing Transportation Storage 272

Dynatrace

MARCH 5, 2025

Integration with existing systems and processes : Integration with existing IT infrastructure, observability solutions, and workflows often requires significant investment and customization. The certification results are now publicly available. If you’re doing one of these you’re amplifying the other.

Energy 223

Energy Analytics Traffic Cloud 223

DZone

FEBRUARY 28, 2025

Grafana Loki is a horizontally scalable, highly available log aggregation system. It is designed for simplicity and cost-efficiency. Logs can also be transformed appropriately for presentation, for example, or further pipeline processing. Loki can provide a comprehensive log journey.

Architecture 130

Architecture Scalability Efficiency Cloud 130

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Query Optimization.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

FEBRUARY 4, 2025

Were excited to announce that Davis CoPilot Chat is now available across the Dynatrace platform. To help you navigate this and boost your efficiency, we’re excited to announce that Davis CoPilot Chat is now generally available (GA). Davis CoPilot Chat will be available with the release of Dynatrace SaaS version 1.307.

Database 130

Database Efficiency Availability Speed 130

Dynatrace

JULY 11, 2023

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Architecture 189

Architecture Availability Infrastructure Monitoring 189

Dynatrace

OCTOBER 10, 2023

EdgeConnect facilitates seamless interaction, ensuring data security and operational efficiency. In this hybrid world, IT and business processes often span across a blend of on-premises and SaaS systems, making standardization and automation necessary for efficiency.

Systems 278

Systems Efficiency Internet Internet 278

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 305

AWS Efficiency Azure Cloud 305

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

Efficiency 147

Efficiency Storage Database Scalability 147

The Netflix TechBlog

JANUARY 2, 2025

Ideally, we would have causal estimates from an A/B test to use for validation, but since that is not available, we use another causal inference design as one of our ensemble of validation approaches. Each format has a different production process and different patterns of cash spend, called our Content Forecast.

Analytics 190

Analytics Engineering Games Entertainment 190