Dynatrace

OCTOBER 10, 2024

Good visualizations are not just static, unintelligent data presentations; they enable interaction and ideally serve as a starting point for subsequent analysis. The Dynatrace Notebooks and Dashboards apps are the perfect starting point for visualizing and understanding your data for monitoring or in-depth analysis.

Latency 212

Latency Infrastructure Monitoring Metrics 212

Dynatrace

NOVEMBER 28, 2022

The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

Lambda 234

Lambda AWS Serverless Latency 234

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

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

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 236

Latency Storage Traffic Tuning 236

Dynatrace

DECEMBER 27, 2022

Establish realistic SLO targets based on statistical and probabilistic analysis. Dynatrace provides a centralized approach for establishing, instrumenting, and implementing SLOs that uses full-stack observability , topology mapping, and AI-driven analytics. Latency is the time that it takes a request to be served. Reliability.

Software 276

Software Software Benchmarking Latency 276

Dynatrace

DECEMBER 13, 2023

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. Minimizing the number of network requests that your app makes can improve performance by reducing latency and improving load times.

Best Practices 210

Best Practices Mobile Metrics Performance 210

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

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

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

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

Dynatrace

DECEMBER 4, 2023

Utilizing an additional OpenTelemetry SDK layer, this data seamlessly flows into the Dynatrace environment, offering advanced analytics and a holistic view of the AI deployment stack. OpenLLMetry provides an open source SDK for LLM observability, seamlessly integrating with Dynatrace for in-depth analysis.

Open Source 267

Open Source Metrics Java Latency 267

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 221

Artificial Intelligence Storage Analytics Government 221

Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Customers can use response streaming to achieve the following: Improve Time to First Byte (TTFB) performance for latency-sensitive applications. Return larger payload sizes.

Lambda 227

Lambda AWS Serverless Latency 227

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Broadly, these can be categorized as: reporting and dashboarding, embedded statistics in pages, time-series monitoring, and ad-hoc analysis. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. Surveys from our recent Automation Pulse Report underscore this sentiment: 57% of C-level executives say the absence of data observability and data flow analysis makes it difficult to drive automation in a compliant way.

DevOps 203

DevOps Analytics Airlines Metrics 203

Dynatrace

MAY 23, 2024

Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively. This significantly increases event latency. Spark Structured Streaming can also provide consistent fault recovery for applications where latency is not a critical requirement.

Engineering 192

Engineering Tuning Latency Open Source 192

Dynatrace

APRIL 6, 2022

Observability can identify the baseline user experience and allow teams to improve it by optimizing page load times or reducing latency. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting. Improve business decisions with precision analytics. Why full-stack observability matters.

DevOps 241

DevOps Innovation Infrastructure Cloud 241

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

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 Ecommerce 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 Ecommerce 52

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. The Site Reliability Guardian also helps keep your production environment safe and secure through automated change impact analysis.

AWS 259

AWS Efficiency Azure Cloud 259

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

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. ITOps relies on manual correlations and dashboards for analysis. AIOps, on the other hand, uses AI and machine learning for automatic analysis and insights. Performance. What does IT operations do? ” The post What is ITOps?

Artificial Intelligence 215

Artificial Intelligence DevOps Hardware Virtualization 215

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. Organizations benefit from detailed workflow analysis, resource allocation insights, and execution insights, end to end from prompt to response.

Cache 215

Cache Azure Infrastructure Monitoring 215

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. With request tracing and additional data from logs, events, metadata, and analysis, Edgar is able to show the flow of a request through our distributed system?

Latency 298

Latency Transportation Engineering Traffic 298

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. User behavior, on the other hand, provides us with details on user retention, sessions, bounce rates, and user engagement.

Metrics 182

Metrics Monitoring Database Network 182

Dynatrace

APRIL 25, 2023

Higher latency and cold start issues due to the initialization time of the functions. Data analysis : how to process, aggregate and query observability data from serverless functions effectively, accurately, and comprehensively? Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

Serverless 219

Serverless Lambda Azure AWS 219

Dynatrace

OCTOBER 4, 2021

When choosing an API monitoring tool, keep in mind that not all have the same breadth of functionality or depth of analytic capabilities. Look for key features, including: Comprehensive analysis of all data, not just samples of monitoring data. Choosing an API monitoring tool. Support for both RUM and synthetic monitoring.

Monitoring 189

Monitoring Latency Metrics Availability 189

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). One use case for STM is to model the behavior of a customer in the form of a flow of transactions along the buyer’s journey.

Monitoring 216

Monitoring Social Media IoT Metrics 216

Scalegrid

FEBRUARY 8, 2024

Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

Adrian Cockcroft

NOVEMBER 18, 2024

In this lightning talk, learn how customers are using AWS to perform millions of calculations on real-time grid data to execute the scenario analysis, simulations, and operational planning necessary to operate a dynamic power grid. Patricia Carroll, Sr. Sustainability Specialist, AWS SUS210 ?

AWS 98

AWS Energy Lambda Government 98

Dynatrace

JULY 24, 2023

Change impact analysis is an indispensable process for effectively managing changes within an organization’s infrastructure and applications. 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 231

DevOps Traffic Efficiency Servers 231

Dynatrace

MAY 5, 2021

Keptn closes the loop of planning, testing, deployment, and analysis in Agile-like environments with the help of quality gates defined by service- and business-level indicators. For example, improving latency by as little as 0.1 latency is the number one reason consumers abandon mobile sites. Meanwhile, in the U.S.,

Benchmarking 195

Benchmarking Latency Speed Software 195

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

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. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Dynatrace

FEBRUARY 2, 2022

service availability with <50ms latency for an application with no revenue impact. Ensure error budgets are set up and tracked with alerting and root cause analysis, so development teams can understand and triage issues before they become problems and cause violations. Pitfall 4: SLO thresholds that are too high or too low.

DevOps 209

DevOps Metrics Best Practices Latency 209