Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. This information is gathered from remote, often inaccessible points within your ecosystem and processed by some sort of tool or equipment.

Open Source 227

Open Source Metrics Cloud Transportation 227

Alex Russell

MARCH 31, 2022

Browsers will cache tools popular among vocal, leading-edge developers. There's plenty of space for caching most popular frameworks. The best available proxy data also suggests that shared caches would have a minimal positive effect on performance. Browsers now understand the classic shared HTTP cache behaviour as a privacy bug.

Cache 82

Cache Government Traffic Network 82

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. Observing AI models Running AI models at scale can be resource-intensive.

Cache 212

Cache Azure Infrastructure Monitoring 212

The Netflix TechBlog

MARCH 6, 2019

—?Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Encoding is not a one-time process?—?large We have one file?—?the

Media 214

Media Storage Processing Cache 214

Percona

NOVEMBER 6, 2023

In this article, we will see how someone can monitor Custom Resources that are created by the Operators with kube-state-metrics (KSM), a standard and widely adopted service that listens to the Kubernetes API server and generates metrics. Once captured, the metrics are exposed. kubectl get pxc pxc-1 -oyaml | yq 'del(.status.conditions)

Metrics 69

Metrics Monitoring Database Cache 69

The Netflix TechBlog

MARCH 7, 2024

In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. We use metaflow.Table to resolve all input shards which are distributed to Metaflow tasks which are responsible for processing terabytes of data collectively.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

DECEMBER 21, 2023

And while these examples were resolved by just asking a few questions, in many cases, the answers are more elusive, requiring real-time and historical drill-downs into the processes and dependencies specific to each host. Reduce inter-process communications overhead. Implement intelligent retry and failover processes.

Cloud 218

Cloud Energy Best Practices Cache 218

Dynatrace

APRIL 10, 2023

Further, Tractor Supply’s transition to Kubernetes introduced many new processes—particularly regarding security. With Dynatrace deep cluster monitoring, “we were able to do upfront detection of security processes consuming higher CPU time on the cluster,” Bollampally said. Further, as Tractor Supply Co.

Cloud 179

Cloud Ecommerce Performance Retail 179

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

MAY 13, 2022

Once you deploy the Dynatrace extension, Dynatrace ingests your Cassandra metrics and analyzes them in context with the entire stack. From there, you can dive deeper into infrastructure metrics (cluster, datacenter, racks, and nodes) and data metrics (keyspaces and tables). Seeing the value.

Azure 241

Azure Latency Metrics Infrastructure 241

Dynatrace

NOVEMBER 3, 2021

Monitoring , by textbook definition, is the process of collecting, analyzing, and using information to track a program’s progress toward reaching its objectives and to guide management decisions. Monitoring focuses on watching specific metrics. First, let’s define what we mean by observability and monitoring.

Monitoring 229

Monitoring Metrics DevOps Scalability 229

Speed Curve

FEBRUARY 5, 2024

However, that pesky 20% on the back end can have a big impact on downstream metrics like First Contentful Paint (FCP), Largest Contentful Paint (LCP), and any other 'loading' metric you can think of. desc="Time to process request at origin" NOTE: This is not a new API. That performance golden rule still holds true today.

Servers 57

Servers Cache Retail Benchmarking 57

The Netflix TechBlog

MAY 4, 2023

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. The batch job creates a high-level summary that captures some key comparison metrics.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

JANUARY 16, 2023

Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase. Together with messaging systems (+36% growth), organizations are increasingly using databases and caches to persist application workload states.

Open Source 349

Open Source Java Operating System Programming 349

Dynatrace

NOVEMBER 28, 2022

Lambda then takes a snapshot of the memory and disk state of the initialized execution environment, persists the encrypted snapshot, and caches it for low-latency access. With SnapStart enabled, function code is initialized once when a function version is published. Users can take advantage of the platform features immediately.

Lambda 232

Lambda AWS Serverless Latency 232

Dynatrace

SEPTEMBER 13, 2023

This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 256

AWS Efficiency Azure Cloud 256

Dynatrace

NOVEMBER 29, 2021

Workloads using multi-threading and multi-processing, or performing many I/O operations, can experience lower execution time and, consequently, even lower costs based on execution time and configured memory size. Provide a foundation for metric calculation in charts on dashboards. With Graviton2, you can reduce execution duration.

Lambda 222

Lambda AWS Serverless Metrics 222

Percona

MAY 10, 2023

” If, however, it got idle because a process is waiting on disk, I/O time is counted towards “IOWait.” ” However, if a process is waiting on disk I/O but other processes on the system can use the CPU, the time will be counted towards their CPU usage as user/system time instead.

Cache 142

Cache Monitoring Open Source Processing 142

Dynatrace

JUNE 16, 2020

With the release of Dynatrace 1.194, we’ve added CPU related infrastructure metrics for LPARs (host metrics) and regions (process metrics) and expanded our multidimensional analysis to IBM Z systems, including CICS, IMS, and the CICS transaction gateway. . zIIP eligible time processed on general CPU.

Innovation 153

Innovation Metrics Infrastructure Programming 153

Percona

DECEMBER 19, 2022

include: Offline metric collection during PMM server outages or loss of PMM client-server network connectivity. Client-side caching minimizes potential for metrics loss. As an initial step toward preventing data loss we have developed the following: Offline metric collection for short outages. Stages of PMM HA.

Metrics 52

Metrics Monitoring Servers Open Source 52

Smashing Magazine

AUGUST 3, 2023

Google’s Core Web Vitals is a set of performance metrics that site owners can use to evaluate performance and diagnose performance issues. These metrics provide a different perspective on user experience: Largest Contentful Paint (LCP) Measures the time it takes for the main content on a webpage to load.

Performance 74

Performance Cache Traffic Metrics 74

Percona

AUGUST 8, 2023

Global caches like the InnoDB buffer pool and MyISAM key cache and session-level caches like the sort buffer, join buffer, random read buffer, etc. Global memory caches are static in size as they are defined solely by the configuration of the database itself. Do these queries use more caches?

Traffic 88

Traffic Cache Monitoring Database 88

The Netflix TechBlog

SEPTEMBER 8, 2020

This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI. To prepare ourselves for a big change in the tech stack of our endpoint, we decided to track metrics around the time taken to respond to queries.

Latency 233

Latency Cache Java Traffic 233

Percona

APRIL 7, 2023

But since retrieving data from disk is slow, databases tend to work with a caching mechanism to keep as much hot data, the bits and pieces that are most often accessed, in memory. In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 135

Tuning Cache Servers Benchmarking 135

Dynatrace

APRIL 21, 2022

Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. Using a data-driven approach to size Azure resources, Dynatrace OneAgent captures host metrics out-of-the-box to assess CPU, memory, and network utilization on a VM host.

Azure 197

Azure Monitoring Virtualization Metrics 197

MachMetrics

MARCH 21, 2019

Web performance metrics track the efficiency (or lack thereof) of any individual aspect of your website’s performance. Once you have started collecting some of these must-track web performance metrics for your website, inefficiencies will become clearer. Top 10 Web Perf Metrics to Track. Time to First Byte. Bounce Rate.

Metrics 74

Metrics Social Media Performance Speed 74

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Smashing Magazine

FEBRUARY 27, 2024

If you haven’t heard, INP is replacing the First Input Delay (FID) metric, something you can read all about here on Smashing Magazine as a guide to prepare for the change. We can use it to report the load time of elements on the page, even going so far as to report on Core Web Vitals metrics in real time.

Performance 96

Performance Metrics Monitoring Google 96

Smashing Magazine

MAY 16, 2022

The header is constructed via a name with an optional description and/or metric value. Web browsers expose a global Performance Timeline API to inspect details about specific metrics/events that have happened during the page lifecycle. Any server or proxy can add this header to the request to provide inspectable data.

Servers 93

Servers Monitoring Cache Network 93

John McCalpin

APRIL 25, 2023

The primary metric for memory bandwidth in multicore processors is that maximum sustained performance when using many cores. This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g.,

Benchmarking 97

Benchmarking Cache Latency Tuning 97

Percona

SEPTEMBER 1, 2023

A finely tuned database processes queries more efficiently, leading to swifter results. Inefficient query design, such as utilizing SELECT * instead of specifying necessary columns, can escalate data transfer and processing overhead. Another highly beneficial caching method is key-value caching.

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

OCTOBER 15, 2020

Improve cloud platform management with deeper insights into platform metrics. The unique Dynatrace OneAgent for Go monitoring allows you to monitor your statically linked Go processes in the same way as is already possible for dynamically linked Go processes. Automatically monitor all important Go metrics. Do much more.

Transportation 187

Transportation Monitoring Metrics Code 187

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. query cache: Disable (query_cache_size: 0, query_cache_type:OFF) innodb_adaptive_hash_index: Check adaptive hash index usage to determine its efficiency.

Performance 103

Performance Monitoring Traffic Database 103

The Netflix TechBlog

JULY 1, 2019

Some of the metrics we use to measure performance on the Netflix TV app include animation frames per second (FPS), key input responsiveness (the amount of time before a member’s key press renders a change in the UI), video playback speed, and app start-up time. The majority of legacy devices run at 28MB of surface cache.

Cache 166

Cache Design Testing Development 166

The Netflix TechBlog

OCTOBER 16, 2019

Often the data is held in memory by consumers and used as a “total cache”, where it is accessed at runtime by client code and atomically swapped out under the hood. for example Open Connect Appliance cache configuration, supported device type IDs, supported payment method metadata, and A/B test configuration.

Cache 187

Cache Architecture Metrics Java 187

HammerDB

JUNE 27, 2022

The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here. An additional specification called TPC-CH for hybrid transactional/analytical processing (HTAP) is under research and development for inclusion in a future release as TPROC-CH.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

SQL Performance

APRIL 13, 2020

In my last post , I started to outline the process I go through when tuning queries – specifically when I discover that I need to add a new index, or modify an existing one. Once we have that data, we can move on to the next steps in the process. Once we have that data, we can move on to the next steps in the process.

Tuning 137

Tuning Cache Metrics Testing 137