Dynatrace

MAY 21, 2024

Realizing that executives from other organizations are in a similar situation to my own, I want to outline three key objectives that Dynatrace’s powerful analytics can help you deliver, featuring nine use cases that you might not have thought possible. Change is my only constant. This is inefficient and creates avoidable risks.

Technology 211

Technology Technology Analytics Storage 211

Scalegrid

AUGUST 27, 2024

Scalability : Message queues can handle multiple requests and messages simultaneously, making it easier to scale an application to meet increasing demands. This scalability is essential for applications that experience fluctuating workloads. This reliability is crucial for maintaining data integrity and consistency across the system.

Ecommerce 130

Ecommerce IoT Games Scalability 130

Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications. What is a Lambda serverless function?

Lambda 227

Lambda AWS Serverless Latency 227

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Predictive analytics, powered by AI, enhance business processes and optimize resource allocation according to workload demands.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case. divide the input video into small chunks 2.

Processing 234

Processing Media Latency Innovation 234

High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. We note that for MongoDB update latency is really very low (low is better) compared to other dbs, however the read latency is on the higher side. Again Yugabyte latency is quite high. Author & founder of BangDB.

Benchmarking 308

Benchmarking Latency C++ Database 308

Dynatrace

MAY 23, 2024

Such frameworks support software engineers in building highly scalable and efficient applications that process continuous data streams of massive volume. Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively.

Engineering 192

Engineering Tuning Latency Open Source 192

Dynatrace

OCTOBER 23, 2023

As such, the observability platform used to monitor Hyper-V should ideally fulfill requirements for holistic visibility, correlation and causation analysis, AI-powered analytics, scalability, and security. Dynatrace is a platform that satisfies all these criteria. Learn more about the pillars of modern observability in this e-book.

Efficiency 226

Efficiency Virtualization Hardware Performance 226

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

Analytics 52

Analytics Airlines Cache Ecommerce 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

Analytics 52

Analytics Airlines Cache Ecommerce 52

All Things Distributed

OCTOBER 12, 2016

Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency. This allows for faster failover times while minimizing latency. Building upon Redis. Redis and Fast Data.

Scalability 117

Scalability Cache Analytics AWS 117

High Scalability

JANUARY 11, 2022

When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. FUN FACT : In this talk , Dikang Gu, a software engineer at Instagram core infra team has mentioned about how they use Cassandra to serve critical usecases, high scalability requirements, and some pain points.

Design 334

Design Media Storage Logistics 334

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

Cache 130

Cache Storage Architecture Scalability 130

Scalegrid

MAY 11, 2024

WiredTiger is a good all-purpose engine while In-Memory is better for specific use cases such as real-time analytics. In-Memory Storage Engine, as the name suggests, stores data in memory for faster performance and lower latencies. Choosing the appropriate storage engine can have a significant impact on application performance.

Storage 130

Storage Engineering Cache Database 130

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. This scalability ensures that organizations can continue to innovate and expand their capabilities seamlessly, without missing a step.

IoT 52

IoT Architecture Scalability Analytics 52

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Sharded time-series collections for improved scalability and performance. Introduction of clustered collections for optimized analytical queries. Ready to supercharge your MongoDB experience?

Best Practices 92

Best Practices Hardware Tuning Scalability 92

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 165

Scalability Database Ecommerce Latency 165

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167

Database AWS Games Latency 167

Scalegrid

JANUARY 12, 2024

Strategic allocation of these resources plays a crucial role in achieving scalability, cost savings, improved performance, and staying ahead of advancements in the field. This also aids scalability down the line. Just like a conductor orchestrating an ensemble of instruments to play at specific times for optimal performance.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. The next challenge was to stream large amounts of traces via a scalable data processing platform.

Infrastructure 236

Infrastructure Transportation Storage Open Source 236

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

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The data warehouse is not designed to serve point requests from microservices with low latency. Moving data with Bulldozer at Netflix.

Latency 249

Latency Storage Big Data Tuning 249

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

VoltDB

JUNE 26, 2024

Using real-time streaming data and analytics, manufacturers can optimize workflows in the moment, reducing bottlenecks and minimizing downtime. Using predictive analytics, manufacturers can anticipate potential quality issues before they occur, allowing for proactive adjustments.

IoT 52

IoT Analytics Artificial Intelligence Energy 52

VoltDB

AUGUST 8, 2024

Real-time data platforms often utilize technologies like streaming data processing , in-memory databases , and advanced analytics to handle large volumes of data at high speeds. Processing such high data volumes requires robust infrastructure and scalable architecture designed for high performance and high availability.

IoT 52

IoT Latency Traffic Logistics 52

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

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Big Data Analytics Architecture 78

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. They can also see how the change can affect critical objectives like SLOs and golden signals, such as traffic, latency, saturation, and error rate. DevOps teams need automation that goes beyond passive observations.

DevOps 231

DevOps Traffic Efficiency Servers 231

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. DevOps practitioners struggle to maintain highly available and scalable applications. Experienced database administrators learn to spot patterns that can lead to common problems.

Monitoring 233

Monitoring Metrics DevOps Scalability 233

Dynatrace

DECEMBER 22, 2019

You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. Amazon Kinesis Data Analytics. The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Amazon Elastic File System (EFS). Amazon EMR. Amazon Redshift.

AWS 138

AWS Metrics IoT Storage 138

Adrian Cockcroft

NOVEMBER 18, 2024

Learn how remote sensing, Internet of Things, and AI technologies on AWS can be used to detect and quantify methane sources, offering a cost-effective and efficient approach to scalable environmental monitoring. Tracey Reid, Vice President, Tokio Marine Highland Javier de la Torre, Founder & CSO, CARTO Marco Masciola, Sr.

AWS 98

AWS Energy Lambda Government 98

Dynatrace

DECEMBER 22, 2019

You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. Amazon Kinesis Data Analytics. The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Amazon Elastic File System (EFS). Amazon EMR. Amazon Redshift.

AWS 134

AWS Metrics IoT Storage 134