VoltDB

NOVEMBER 20, 2024

This proximity reduces latency and enables real-time decision-making. The Need for Real-Time Analytics and Automation With increasing complexity in manufacturing operations, real-time decision-making is essential. Assess factors like network latency, cloud dependency, and data sensitivity.

IoT 52

IoT Energy Latency Automotive 52

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. M-CDN enables enacting a failover strategy with additional CDN providers that have not been impacted.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

Dynatrace

DECEMBER 13, 2023

In-app purchases can help to measure the overall effectiveness of your business strategy. By monitoring metrics such as error rates, response times, and network latency, developers can identify trends and potential issues, so they don’t become critical. Load time and network latency metrics. Performance optimization.

Best Practices 211

Best Practices Mobile Metrics Performance 211

Dynatrace

APRIL 8, 2024

Power business analytics with Dynatrace Banks that can deploy vertically integrated risk management solutions will deliver unprecedented agility, precision, and control for risk management functions. Maximize performance for high-frequency and low-latency trading strategies. Automated issue resolution. Break down data silos.

Analytics 214

Analytics Infrastructure Efficiency Technology 214

The Netflix TechBlog

JANUARY 25, 2023

The service should be able to serve real-time, aka UI, applications so CRUD and search operations should be achieved with low latency. All data should be also available for offline analytics in Hive/Iceberg. Our service will be used by a lot of internal UI applications hence the latency for CRUD and search operations must be low.

Scalability 288

Scalability Latency Media Architecture 288

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

Scalegrid

AUGUST 27, 2024

RabbitMQ excels at managing asynchronous processing and reducing latency while distributing workloads effectively across the system. By prioritizing such messages, RabbitMQ delivers notifications with minimal latency, thus improving the user experience while sustaining the efficacy of communication systems.

Ecommerce 130

Ecommerce IoT Games Scalability 130

Dynatrace

MAY 23, 2024

Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively. After failures, Kafka Streams’ partition assignment strategy, triggered by rebalances, causes its executions to accumulate more lag. This significantly increases event latency.

Engineering 193

Engineering Tuning Latency Open Source 193

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. M-CDN enables enacting a failover strategy with additional CDN providers that have not been impacted.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

Scalegrid

FEBRUARY 8, 2024

Data replication strategies like full, incremental, and log-based replication are crucial for improving data availability and fault tolerance in distributed systems, while synchronous and asynchronous methods impact data consistency and system costs. By implementing data replication strategies, distributed storage systems achieve greater.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. Finding a balance between complexity and impact must be a priority for organizations that adopt AI strategies.

Cache 216

Cache Azure Infrastructure Monitoring 216

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Does this affect our analytics strategy? There is no substitute for real-time analytics and action. The answer: Absolutely!

Analytics 40

Analytics Strategy Network Games 40

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Does this affect our analytics strategy? There is no substitute for real-time analytics and action. The answer: Absolutely!

Analytics 40

Analytics Strategy Network Games 40

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. To ensure resilience, ITOps teams simulate disasters and implement strategies to mitigate downtime and reduce financial loss. This is the number of failures that affect users’ ability to use an application by the total time in service.

Artificial Intelligence 216

Artificial Intelligence DevOps Hardware Virtualization 216

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 203

DevOps Analytics Airlines Metrics 203

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. SRG validates the status of the resiliency SLOs for the experiment period.

AWS 260

AWS Efficiency Azure Cloud 260

VoltDB

SEPTEMBER 26, 2024

Preventive maintenance is a strategy aimed at anticipating equipment failures before they occur, enabling timely interventions that can prevent unplanned downtimes and extend the lifespan of machinery. Performance optimization : Beyond just predicting failures, video analytics can also help optimize equipment performance.

IoT 52

IoT Analytics Strategy Efficiency 52

VoltDB

SEPTEMBER 26, 2024

Predictive maintenance is a strategy aimed at anticipating equipment failures before they occur, enabling timely interventions that can prevent unplanned downtimes and extend the lifespan of machinery. Performance optimization : Beyond just predicting failures, video analytics can also help optimize equipment performance.

IoT 52

IoT Analytics Strategy Efficiency 52

Adrian Cockcroft

NOVEMBER 18, 2024

SUS205 | Integrating generative AI effectively into sustainability strategies Generative AI can materially support sustainability programs by simplifying the process of analyzing environmental data to simulating new designs to evaluating product lifecycles in a fraction of the time.

AWS 98

AWS Energy Lambda Government 98

Scalegrid

MARCH 28, 2024

Redis’s support for pipelining in a Redis server can significantly reduce network latency by batching command executions, making it beneficial for write-heavy applications. On the other hand, Memcached is ideal for simple caching scenarios where high throughput and low latency are key and where the stored data consists mainly of strings.

Cache 130

Cache Storage Architecture Scalability 130

Scalegrid

JANUARY 12, 2024

The fundamental principles at play include evenly distributing the workload among servers for better application performance and redirecting client requests to nearby servers to reduce latency. This makes it ideal not only for regular scalability but also for advanced analytics with intricate workload management capabilities.

Cloud 130

Cloud Virtualization Storage Efficiency 130

VoltDB

OCTOBER 30, 2024

Predictive maintenance: While closely related, predictive maintenance is more advanced, relying on data analytics to predict when a component might fail. It is proactive but doesn’t use advanced data analytics. Predictive maintenance uses data analytics and AI to predict when equipment will need maintenance.

Automotive 52

Automotive IoT Artificial Intelligence Energy 52

The Netflix TechBlog

JULY 26, 2021

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. Operational Reporting Pipeline Example Iceberg Sink Apache Iceberg is an open source table format for huge analytics datasets. tactical) in nature.

Big Data 256

Big Data Government Processing Analytics 256

VoltDB

SEPTEMBER 10, 2024

Industrial IoT (IIoT) really means making industrial devices work together so they can communicate better for the sake of ultimately improving data analytics, efficiency, and productivity. But in IIoT, as in other industries, data silos are a huge issue. If your data lives in silos, you’re not making the most of it.

IoT 52

IoT Architecture Scalability Analytics 52

Percona

NOVEMBER 2, 2023

Introduction of clustered collections for optimized analytical queries. Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency. x: Live resharding of databases for uninterrupted sharded key changes. In MongoDB 6.x:

Best Practices 93

Best Practices Hardware Tuning Scalability 93

The Netflix TechBlog

MARCH 10, 2023

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. Some of the common supported data reprocessing use cases are listed below. But to build the data facts, we need the complete data set in the iceberg and not just the new.

Media 241

Media Traffic Processing Design 241

CSS Wizardry

OCTOBER 27, 2018

Simply knowing the different forms of performance testing that we have available to us, and where they sit in the product development process, makes it much easier for businesses to adopt a performance strategy and keep on top of things. How: RUM tooling, analytics, monitoring. Who: Engineers, Product Owners, Marketing.

Performance Testing 180

Performance Testing Testing Performance Strategy 180

The Netflix TechBlog

OCTOBER 19, 2020

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Using simple lookup indices in Cassandra gives us the ability to maintain acceptable read latencies while doing heavy writes.

Infrastructure 236

Infrastructure Transportation Storage Open Source 236

Smashing Magazine

AUGUST 3, 2023

These pages serve as a pivotal tool in our digital marketing strategy, not only providing valuable information about our services but also designed to be easily discoverable through search engines. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority.

Performance 75

Performance Cache Traffic Metrics 75

VoltDB

OCTOBER 17, 2024

Big Data Analytics Handling and analyzing large volumes of data in real-time is critical for effective decision-making. Big data analytics platforms process data from multiple sources, providing actionable insights in real-time. Ensuring that employees are on board and trained to use new technologies is critical for success.

Automotive 52

Automotive IoT Energy Artificial Intelligence 52

Dynatrace

OCTOBER 1, 2021

Business analytics : Organizations can combine business context with full stack application analytics and performance to understand real-time business impact, improve conversion optimization, ensure that software releases meet expected business goals, and confirm that the organization is adhering to internal and external SLAs.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Get a comprehensive view of your batch jobs.

Azure 153

Azure Cloud Big Data Virtualization 153

Dynatrace

NOVEMBER 3, 2021

For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time. Because monitoring tends to focus on key indicators such as utilization rates and throughput, monitoring indicates overall system performance. appeared first on Dynatrace blog.

Monitoring 234

Monitoring Metrics DevOps Scalability 234

The Netflix TechBlog

NOVEMBER 20, 2023

As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. Apache Iceberg Iceberg is a high-performance format for huge analytic tables. Acknowledgements Thanks to our Product Manager Ashim Pokharel for driving the strategy and requirements.

Processing 215

Processing Big Data Efficiency Engineering 215

Dotcom-Montior

OCTOBER 6, 2021

It also encompasses a strategy and set of practices and principles across service offerings and is closely tied to DevOps and operations. Furthermore, SREs can view real-time dashboards, access reports, and review analytics to quickly identify performance issues.

Engineering 67

Engineering DevOps Monitoring Google 67

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. Processing latency is minimum If only you can infinitely scale your data pipeline, processing latency can be guaranteed to be minimum, but we know for sure that is not true.

Latency 63

Latency Analytics Scalability Engineering 63