Dynatrace

JANUARY 17, 2024

An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. AI requires more compute and storage. Training AI data is resource-intensive and costly, again, because of increased computational and storage requirements. Continuously monitor AI models’ performance.

Strategy 230

Strategy Artificial Intelligence Storage Cloud 230

DZone

JUNE 15, 2023

In order to gain insight into these problems, we gather a range of metrics and logs to monitor the utilization of system resources such as CPU, memory, and application-specific latencies. It is worth noting that this data collection process does not impact the performance of the application.

Latency 246

Latency Storage Strategy Metrics 246

The Netflix TechBlog

APRIL 27, 2023

While Atlas is architected around compute & storage separation, and we could theoretically just scale the query layer to meet the increased query demand, every query, regardless of its type, has a data component that needs to be pushed down to the storage layer.

Storage 288

Storage Cache Metrics Database 288

Dynatrace

SEPTEMBER 23, 2020

In parallel to the continuous stream of new improvements related to Dynatrace monitoring capabilities, we’re also continuously improving our internal mechanisms. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. See details below. See details below.

Storage 151

Storage Latency Operating System Network 151

Dynatrace

JUNE 1, 2023

Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. Latency typically refers to the time it takes for a single request to travel from its source to its destination. Latency primarily focuses on the time spent in transit.

Latency 185

Latency Website Traffic Virtualization 185

Dynatrace

APRIL 8, 2024

In summary, the Dynatrace platform enables banks to do the following: Capture any data type: logs, metrics, traces, topology, behavior, code, metadata, network, security, web, and real-user monitoring data, and business events. Maximize performance for high-frequency and low-latency trading strategies. Automated issue resolution.

Analytics 210

Analytics Infrastructure Efficiency Technology 210

Scalegrid

APRIL 28, 2020

Since database hosting is more dependent on memory (RAM) than storage, we are going to compare various instance sizes ranging from just 1GB of RAM up to 64GB of RAM so you can see how costs vary across different application workloads. Does it affect latency? Yes, you can see an increase in latency. EC2 instances. VM instances.

Azure 344

Azure AWS Database Latency 344

Dynatrace

JUNE 1, 2023

Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. Latency typically refers to the time it takes for a single request to travel from its source to its destination. Latency primarily focuses on the time spent in transit.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Unlike data warehouses, however, data is not transformed before landing in storage. A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Data management.

Artificial Intelligence 218

Artificial Intelligence Storage Analytics Government 218

Dynatrace

SEPTEMBER 13, 2023

The Site Reliability Guardian helps automate release validation based on SLOs and important signals that define the expected behavior of your applications in terms of availability, performance errors, throughput, latency, etc. A study by Amazon found that increasing page load time by just 100 milliseconds costs 1% in sales.

AWS 256

AWS Efficiency Azure Cloud 256

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. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 339

Traffic Latency Tuning Systems 339

The Netflix TechBlog

NOVEMBER 3, 2022

When a new leader is elected it loads all data from external storage. After the jobs are created, it monitors their execution progress. In that scenario, the system would need to deal with the data propagation latency directly, for example, by use of timeouts or client-originated update tracking mechanisms.

Cache 224

Cache Latency Traffic Systems 224

Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. Near-zero RPO and RTO—monitoring continues seamlessly and without data loss in failover scenarios. Achieve high SLOs with seamless monitoring when entire data centers experience outages. Automatic recovery for outages for up to 72 hours.

Availability 253

Availability Hardware Latency Traffic 253

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. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. By default, MongoDB provides a snappy block compression method for storage and network communication.

Storage 108

Storage Network Open Source Latency 108

The Netflix TechBlog

APRIL 26, 2022

The first version of our logger library optimized for storage by deduplicating facts and optimized for network i/o using different compression methods for each fact. Since we were optimizing at the logging level for storage and performance, we had less data and metadata to play with to optimize the query performance.

Storage 187

Storage Design Scalability Latency 187

The Netflix TechBlog

JUNE 13, 2023

A small percentage of production traffic is redirected to the two new clusters, allowing us to monitor the new version’s performance and compare it against the current version. At every step, relevant stakeholders are informed, and key metrics are monitored, including service, device, operational, and business metrics.

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. Computer operations manages the physical location of the servers — cooling, electricity, and backups — and monitors and responds to alerts. Functionality. Performance.

Artificial Intelligence 211

Artificial Intelligence DevOps Hardware Virtualization 211

High Scalability

SEPTEMBER 8, 2018

They've posted about Anna's new superpowers in Going Fast and Cheap: How We Made Anna Autoscale : Using Anna v0 as an in-memory storage engine, we set out to address the cloud storage problems described above. Each storage server collects statistics about the requests it serves, the data it stores, etc. Related Articles.

Storage 199

Storage Performance AWS Efficiency 199

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Website and Web Application Monitoring. Web monitoring is a comprehensive term that describes the activity of testing a website or web application for its availability and performance. HTTP Monitoring. Network latency.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. Solution : Like the freshness example, Dynatrace can monitor the record count over time.

DevOps 200

DevOps Analytics Airlines Metrics 200

Dynatrace

JUNE 8, 2020

Meeting the requirements of a tier-0 application demands the highest level of reliability and scalability, which Dynatrace enables through extensive self-monitoring and self-healing across the entire application stack down to the infrastructure level. Access your cluster health data in Dynatrace Managed.

Software 166

Software Software Programming Metrics 166

Percona

JUNE 22, 2023

A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance. In this blog, we will explore various MySQL KPIs that are basic and essential to track using monitoring tools like PMM.

Performance 104

Performance Monitoring Traffic Database 104

Scalegrid

JANUARY 19, 2024

Recovering from a MongoDB rollback involves locating rollback files, using mongorestore to load data into a separate server, cleansing unneeded data, and importing the data back into the primary cluster, coupled with ongoing monitoring and maintenance of replica sets to maintain system health.

Database 130

Database Network Servers Monitoring 130

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. At Dynatrace, we’re constantly improving our AWS monitoring capabilities. Monitor and understand additional AWS services. Amazon Simple Storage Service (S3). Dynatrace news.

AWS 137

AWS Metrics IoT Storage 137

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. At Dynatrace, we’re constantly improving our AWS monitoring capabilities. Monitor and understand additional AWS services. Amazon Simple Storage Service (S3). Dynatrace news.

AWS 134

AWS Metrics IoT Storage 134

Scalegrid

JANUARY 12, 2024

Storage is a critical aspect to consider when working with cloud workloads. High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it. What is an example of a workload?

Cloud 130

Cloud Virtualization Storage Efficiency 130

The Netflix TechBlog

SEPTEMBER 2, 2020

In an earlier blog post, we discussed Telltale , our health monitoring system. This difference has substantial technological implications, from the classification of what’s interesting to transport to cost-effective storage (keep an eye out for later Netflix Tech Blog posts addressing these topics).

Latency 296

Latency Transportation Engineering Traffic 296

Dynatrace

SEPTEMBER 25, 2019

Therefore, it requires multidimensional and multidisciplinary monitoring: Infrastructure health —automatically monitor the compute, storage, and network resources available to the Citrix system to ensure a stable platform. Synthetic monitoring: Citrix login availability and performance. Image callout numbers.

Latency 118

Latency Performance Virtualization Infrastructure 118

Scalegrid

DECEMBER 16, 2019

We ran performance tests for MongoDB on DigitalOcean vs. AWS vs. Azure and found that DigitalOcean performance was in line with, if not better, on both high throughput and low latency in the deployment. Monitoring Performance. Monitoring is also a huge component to managing a MongoDB deployment. DigitalOcean Droplets.

Azure 187

Azure AWS Latency Database 187

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope. Observability is made up of three key pillars: metrics, logs, and traces.

Artificial Intelligence 186

Artificial Intelligence Metrics Architecture DevOps 186

Scalegrid

MARCH 14, 2024

Public Cloud Infrastructure Third-party providers run public cloud services, delivering a broad array of offerings like computing power, storage solutions, and network capabilities that enhance the functionality of a hybrid cloud architecture. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Percona

DECEMBER 26, 2023

Configuring Grafana For our purposes, the Grafana datasource used in this PoC is also the Postgres data cluster that is generating the data to be monitored. pg_stat_monitor About pg_stat_monitor is a Query Performance Monitoring tool for PostgreSQL. Happy monitoring! tps, lat 11.718 ms stddev 3.951 progress: 4440.0

Benchmarking 122

Benchmarking Metrics C++ Database 122

All Things Distributed

OCTOBER 16, 2019

Connected devices allow us to extend our senses to remote locations, such as a robot carrying out work on Mars or monitoring remote oil wells. Here's a few examples: IoT sensors in a factory can monitor and predict equipment failure before an accident. This is the exciting future for IoT, and it's closer than you think.

IoT 126

IoT Healthcare Internet Internet 126

Adrian Cockcroft

APRIL 18, 2018

Juvenal Photo taken in Lisbon Portugal by Adrian Cockcroft The documentation for most monitoring tools describes how to use that tool in isolation, often as if no other tools exist, but sometimes with ways to import or export some of the data to other tools. When auto-scaling is used monitoring is also part of a critical feedback loop.

Monitoring 40

Monitoring Systems Virtualization Metrics 40

The Morning Paper

FEBRUARY 6, 2020

On the Cloudburst design teams’ wish list: A running function’s ‘hot’ data should be kept physically nearby for low-latency access. The canononical cloud platform architecture decouples storage and compute services so that each can be scaled and operated independently, i.e., they are disaggregated.

Lambda 98

Lambda Serverless Cache Latency 98

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. Let’s jump in!

Energy 130

Energy Latency Performance Network 130