ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

APRIL 25, 2023

Higher latency and cold start issues due to the initialization time of the functions. Instrument your functions using either our cloud-native integrations, which give you automatic instrumentation simply by adding the Dynatrace AWS Lambda Layer or use a monitoring-as-code approach utilizing OpenTelemetry to add distributed tracing.

Serverless 200

Serverless Lambda Azure AWS 200

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. Using an interactive no/low code editor, you can create workflows or configure them as code.

AWS 240

AWS Efficiency Azure Cloud 240

Scalegrid

DECEMBER 14, 2023

For example, your payment history might be on one database cluster and your analytics records on another cluster. If your analytics server is down, then each operation will wait for a default of 30 seconds before failing (which may or may not be what you want).

Java 130

Java Network Servers Database 130

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 Analytics Big Data Architecture 78

Dynatrace

FEBRUARY 2, 2022

service availability with <50ms latency for an application with no revenue impact. Simply performing eyeball analytics by looking at multiple dashboards slows down the quality evaluation process and introduces a higher risk of failures. This can create an unnecessary distraction and steal time away from critical tasks.

DevOps 189

DevOps Metrics Best Practices Latency 189

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

Dynatrace

DECEMBER 2, 2021

Organizations commonly use SLOs in production environments to ensure released code stays within error budgets. You can set SLOs based on individual indicators, such as batch throughput, request latency, and failures-per-second. What are error budgets? For example, if your SLO guarantees 99.5%

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

ScaleOut Software

AUGUST 18, 2018

This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications. The digital twin provides a powerful answer to this challenge.

IoT 45

IoT Ecommerce Latency Analytics 45

ScaleOut Software

AUGUST 18, 2018

This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications. The digital twin provides a powerful answer to this challenge.

IoT 40

IoT Ecommerce Latency Analytics 40

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.

Technology 196

Technology Technology Analytics Storage 196

Dotcom-Montior

OCTOBER 6, 2021

One minute an SRE might be provisioning storage in AWS, the next minute an SRE might have to talk to customers or go write some Python code for a new project. Furthermore, SREs can view real-time dashboards, access reports, and review analytics to quickly identify performance issues. It really depends on the day.

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

Smashing Magazine

AUGUST 3, 2021

Different browsers running on different platforms and hardware, respecting our user preferences and browsing modes (Safari Reader/ assistive technologies), being served to geo-locations with varying latency and intermittency increase the likeness of something not working as intended. More after jump!

Network 145

Network Engineering Availability Monitoring 145

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

Dean Hume

APRIL 24, 2018

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. In order to track this information, I used Google Analytics and pushed this data through as an event. CPU Utilization and Power Consumption (Source: Blackburn 2008).

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. In order to track this information, I used Google Analytics and pushed this data through as an event. CPU Utilization and Power Consumption (Source: Blackburn 2008).

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. In order to track this information, I used Google Analytics and pushed this data through as an event. CPU Utilization and Power Consumption (Source: Blackburn 2008).

Energy 40

Energy Cache Traffic Website 40

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

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. This testing stage took about two weeks.

Processing 229

Processing Media Latency Innovation 229

Scalegrid

MARCH 14, 2024

Effective hybrid cloud management requires robust tools and techniques for centralized administration, policy enforcement, cost management, and modern infrastructure practices like Infrastructure-as-Code (IaC) and containers. It results in consistently configured environments and allows for swift deployment.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

OCTOBER 4, 2022

The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. The performance of these queries needs to be at a level where they can support ad-hoc analytics use cases. Data lakehouses deliver the query response with minimal latency.

Artificial Intelligence 202

Artificial Intelligence Storage Analytics Government 202

Dynatrace

JULY 24, 2023

For example, consider an e-commerce website that automatically sends personalized discount codes to customers who abandon their shopping carts. This event-driven automation triggers the action of sending the discount code only when the customer abandons the cart abandonment, minimizing revenue loss and increasing conversion rates.

DevOps 213

DevOps Traffic Efficiency Servers 213

Adrian Cockcroft

MAY 6, 2023

They were able to re-use most of their working code by combining it into a single long running microservice that is horizontally scaled using ECS, and which is invoked via a lambda function. A real-time user experience analytics engine for live video, that looked at all users rather than a subsample. Finally, what were they building?

Serverless 145

Serverless Lambda Best Practices Traffic 145

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. Redis and Memcached offer user-friendly interfaces that can seamlessly integrate into applications with minimal coding.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

MAY 17, 2023

The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. However, this method limited us to instrumenting the code manually and collecting specific sets of data we defined upfront.

Metrics 166

Metrics Monitoring Database Network 166

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Dynatrace

APRIL 6, 2022

Not just infrastructure connections, but the relationships and dependencies between containers, microservices , and code at all network layers. Observability can identify the baseline user experience and allow teams to improve it by optimizing page load times or reducing latency. Improve business decisions with precision analytics.

DevOps 226

DevOps Innovation Infrastructure Analytics 226

Dynatrace

OCTOBER 4, 2021

Using agile methodologies, developers are constantly updating code and integrating it into production services. If there’s a problem during testing, developers can quickly identify the root cause by looking at the differences in code between the last stable release and the release that produced the issue.

Monitoring 172

Monitoring Latency Metrics Availability 172

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 243

Latency Storage Big Data Tuning 243

Smashing Magazine

SEPTEMBER 24, 2021

It can be hosted on a CDN like Vercel or Netlify, which results in lower latency. The code you write visualizes instantly in your browser and productivity goes through the sky. This is also a risk because you can easily get too focused on productivity and neglect the maintainability of your code. Lint And Format Your Code.

Website 115

Website Code Servers Analytics 115

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. If something goes wrong, one could need to rerun the system on the problematic data with better logging or with code alternations.

Big Data 154

Big Data Processing Lambda Database 154

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 Infrastructure 363

All Things Distributed

JUNE 21, 2018

Developers rely on the functionality of the relational database (not the application code) to enforce the schema and preserve the referential integrity of the data within the database. The purpose of DynamoDB is to provide consistent single-digit millisecond latency for any scale of workloads.

Database 167

Database AWS Games Latency 167

All Things Distributed

OCTOBER 25, 2018

The new AWS Africa (Cape Town) Region will have three Availability Zones and provide lower latency to end users across Sub-Saharan Africa. JUMO uses a broad range of behavioral and payments' data, near real-time analytics and predictive modeling, to create financial identities for people who were previously beyond the reach of banks.

AWS 167

AWS Cloud Education Programming 167

Dynatrace

JUNE 25, 2021

Already in the 2000s, service-oriented architectures (SOA) became popular, and operations teams discovered the need to understand how transactions traverse through all tiers and how these tiers contributed to the execution time and latency. These are problems that you are unaware of when adding instrumentation to your code.

Open Source 196

Open Source Monitoring Google Systems 196