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). How automatic and intelligent AIOps makes DEM and business observability possible.

Monitoring 246

Monitoring Social Media IoT Metrics 246

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. Scale automatically based on the demand and traffic patterns. Higher latency and cold start issues due to the initialization time of the functions. The elasticity of serverless services helps organizations scale as needed.

Serverless 246

Serverless Lambda Azure AWS 246

Dynatrace

JULY 6, 2020

Azure Traffic Manager. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics. Azure Front Door enables you to define, manage, and monitor the global routing for your web traffic by optimizing for best performance and quick global failover for high availability.

Azure 226

Azure Cloud Big Data Virtualization 226

The Netflix TechBlog

FEBRUARY 14, 2025

Analytical Insights Additionally, impression history offers insightful information for addressing a number of platform-related analytics queries. We can experiment with different content placements or promotional strategies to boost visibility and engagement.

Tuning 157

Tuning Latency Efficiency Storage 157

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. Existing data got updated to be backward compatible without impacting the existing running production traffic. Error Handling Errors are part of software development.

Media 240

Media Traffic Processing Design 240

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 233

Processing Media Latency Innovation 233

DZone

JULY 6, 2020

TiDB is an open-source, distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. For external reasons, application traffic may surge and increase the pressure on the cluster. Ideally, a TiDB cluster should always be efficient and problem-free. However, reality is often unsatisfactory.

Open Source 130

Open Source Latency Traffic Analytics 130

Adrian Cockcroft

MAY 6, 2023

Then they tried to scale it to cope with high traffic and discovered that some of the state transitions in their step functions were too frequent, and they had some overly chatty calls between AWS lambda functions and S3. A real-time user experience analytics engine for live video, that looked at all users rather than a subsample.

Serverless 145

Serverless Lambda Best Practices Traffic 145

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

All Things Distributed

JUNE 21, 2018

Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. The purpose of DynamoDB is to provide consistent single-digit millisecond latency for any scale of workloads.

Database 167

Database AWS Games Latency 167

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 255

Big Data Government Processing Analytics 255

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. This allows us to quickly tell whether the network link may be saturated or the processor is running at its limit.

Metrics 243

Metrics Database Monitoring Network 243

Dynatrace

JULY 24, 2023

When a server experiences an outage, the system promptly triggers an alert and initiates actions like restarting a server or redirecting traffic to a redundant server. 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 246

DevOps Traffic Efficiency Servers 246

All Things Distributed

JANUARY 18, 2012

s web-based applications often encounter database scaling challenges when faced with growth in users, traffic, and data. Behind the scenes, Amazon DynamoDB automatically spreads the data and traffic for a table over a sufficient number of servers to meet the request capacity specified by the customer. Consistency. SimpleDBâ??s

Scalability 162

Scalability Database Ecommerce Latency 162

VoltDB

FEBRUARY 29, 2024

In this fast-paced ecosystem, two vital elements determine the efficiency of this traffic: latency and throughput. LATENCY: THE WAITING GAME Latency is like the time you spend waiting in line at your local coffee shop. All these moments combined represent latency – the time it takes for your order to reach your hands.

Latency 52

Latency Games Traffic Network 52

Scalegrid

AUGUST 27, 2024

They utilize a routing key mechanism that ensures precise navigation paths for message traffic. RabbitMQ excels at managing asynchronous processing and reducing latency while distributing workloads effectively across the system. Within RabbitMQ’s ecosystem, bindings function as connectors between exchanges and queues.

Ecommerce 130

Ecommerce IoT Games Scalability 130

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

Percona

JUNE 22, 2023

Number of slow queries recorded Select types, sorts, locks, and total questions against a database Command counters and handlers used by queries give an overall traffic summary Along with this, PMM also comes with Query Analytics giving much detailed information about queries getting executed.

Performance 117

Performance Monitoring Traffic Database 117

Scalegrid

MARCH 28, 2024

For vertical scaling, Memcached allows augmenting existing servers with additional CPU cores and memory, thereby enhancing the capacity of the caching pool to manage higher traffic volumes and larger data loads.

Cache 130

Cache Storage Architecture Scalability 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 Big Data Analytics Architecture 78

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

All Things Distributed

NOVEMBER 21, 2017

Redis's microsecond latency has made it a de facto choice for caching. Its support for advanced data structures (for example, lists, sets, and sorted sets) also enables a variety of in-memory use cases such as leaderboards, in-memory analytics, messaging, and more. TB of in-memory capacity in a single cluster.

Games 96

Games Retail Latency Education 96

Dotcom-Montior

MAY 12, 2020

Modern web applications and pages, such as single-page applications, that put the user experience at its utmost priority are expected to be available 24/7, anywhere in the world, usable on any screen size, secure, flexible, scalable and be ready to meet traffic spikes on demand. Network latency. Network Latency. Connection time.

Monitoring 63

Monitoring Entertainment Hardware Traffic 63

Smashing Magazine

AUGUST 3, 2023

It increases our visibility and enables us to draw a steady stream of organic (or “free”) traffic to our site. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority. The higher our organic traffic, the more profitable we become as a company.

Performance 76

Performance Cache Traffic Metrics 76

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

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

Smashing Magazine

OCTOBER 31, 2023

This data is distinct from CrUX because it’s collected directly by the website owner by installing an analytics snippet on their website. INP is a measure of the latency for all interactions on a given page, where the highest latency — or close to it — informs the final score. It’s right there in the name!

Speed 113

Speed Google Website Metrics 113

Speed Curve

MARCH 11, 2024

But we also approach each new metric with an analytical eye. Correlation charts give you a histogram view of all your user traffic, broken out into cohorts based on performance metrics such as INP. One of the biggest culprits: latency, which is typically worse on mobile. Does INP correlate to user behaviour? for mobile.

Mobile 88

Mobile Google Metrics Monitoring 88

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. Organizations can select the most cost-effective option for each region or traffic type, reducing overall CDN expenses.4.

Best Practices 52

Best Practices Strategy Traffic Virtualization 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. One common problem for real-time data platforms is latency, particularly at scale.

IoT 52

IoT Latency Traffic Logistics 52

Smashing Magazine

SEPTEMBER 24, 2021

That was until we went to production with our highest traffic customer. It can be hosted on a CDN like Vercel or Netlify, which results in lower latency. Vercel also offers an Analytics feature , which measures the core Web Vitals of your production deployment. From the moment we went live, we experienced performance issues.

Website 129

Website Code Servers Analytics 129

Alex Russell

MARCH 6, 2021

Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge. CrUX data collection and first-party RUM analytics of these metrics require live traffic, meaning results can be predicted but only verified once deployed.

Performance 127

Performance Network Mobile Metrics 127

Alex Russell

MAY 9, 2022

This is a complex topic, but to borrow from a recent post , web performance expands access to information and services by reducing latency and variance across interactions in a session, with a particular focus on the tail of the distribution (P75+). Consistent performance matters just as much as low average latency. Photo by von Vix.

Performance 99

Performance Latency Metrics Engineering 99

IO River

NOVEMBER 2, 2023

‍Just as a well-coordinated airport directs flights to multiple runways based on traffic and weather conditions, a CDN with Multiple Origins Load Balancing ensures that web traffic is distributed across various data centers, optimizing performance and reliability. ‍But how does it decide where to send this traffic?

Traffic 52

Traffic Cache Servers Network 52

Dotcom-Montior

NOVEMBER 24, 2021

This also includes latency, or the time it takes for data or a request to get through a network. It is also one of the four golden signals of monitoring, which also includes traffic, error, and saturation. Read : SRE Principles: The 7 Fundamental Rules.

Systems 74

Systems Monitoring Hardware Network 74

John McCalpin

APRIL 2, 2020

Here I assumed a particular analytical function for the amount of memory traffic as a function of cache size to scale the bandwidth time. This system also had significantly lower memory latency than many contemporary systems (which were still using front-side bus architectures and separate “NorthBridge” chips).

Benchmarking 59

Benchmarking Performance Latency Architecture 59