Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Logs can include data about user inputs, system processes, and hardware states. Dynatrace news. billion in 2020 to $4.1 What is log monitoring?

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Scalegrid

JANUARY 25, 2024

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

JUNE 22, 2023

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance 102

Performance Monitoring Traffic Database 102

Dynatrace

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. Easier rollout thanks to log storage best practices. Easier rollout thanks to log storage best practices. Dynatrace news. Advanced customization of OneAgent deployments made easy.

Best Practices 202

Best Practices Storage Java Benchmarking 202

Percona

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” Cloud computing? And, often, to giving up.

Hardware 97

Hardware Storage Big Data Blockchain 97

High Scalability

OCTOBER 24, 2022

Cloud Infrastructure Services -- An analysis of potentially anti-competitive practices by Professor Frédéric Jenny. Each cloud-native evolution is about using the hardware more efficiently. Nitro is a revolutionary combination of purpose-built hardware and software designed to provide performance and security.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

Percona

OCTOBER 18, 2023

Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Evaluating your hardware requirements is another vital aspect of resource allocation. Look closely at your current infrastructure (hardware, storage, networks, etc.)

Open Source 89

Open Source Database Hardware Strategy 89

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 105

Availability Database Open Source Hardware 105

Brendan Gregg

FEBRUARY 28, 2023

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 110

Performance Latency Cache Virtualization 110

Percona

DECEMBER 14, 2022

But while eminently capable of performing OLAP, it’s not quite as efficient. Suppose you are performing a deep-dive analysis involving a table of records containing 50 columns. The CITUS columnar extension feature set includes: Highly compressed tables: Reduces storage requirements. Columnar storage. References tables.

Database 92

Database Analytics Storage Processing 92

The Morning Paper

SEPTEMBER 19, 2019

Autoscaling tiered cloud storage in Anna. Could it be Analyzing efficient stream processing on modern hardware ? On one of the themes that captures my imagination, how changing hardware platform influence system design: Rethinking database high availability with RDMA networks. Research papers. (In In random order!).

Blockchain 46

Blockchain Hardware Google Analytics 46

All Things Distributed

MARCH 11, 2015

In the past analytics within an organization was the pinnacle of old style IT: a centralized data warehouse running on specialized hardware. Industrial machinery is instrumented and Internet connected to stream data into the cloud to gain usage insights, improve efficiencies and prevent outages. Cloud enables self-service analytics.

Analytics 135

Analytics Cloud Healthcare Retail 135

All Things Distributed

AUGUST 16, 2012

An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. s a summary chart of the TCO analysis. What this chart summarizes is that. t need them.

AWS 118

AWS Hardware Traffic Best Practices 118

Brendan Gregg

FEBRUARY 28, 2023

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 52

Performance Latency Cache Virtualization 52

Tim Kadlec

JANUARY 9, 2019

Hardware gets better, sure. Ballooning bandwidth and storage have fostered complacency that we can do without. Just how much kWh are expended per one GB of data is up for some debate depending on your method of analysis. Let’s say that you’re one of those people with a device a year or two old. It makes sense.

Performance 111

Performance Energy Internet Internet 111

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. Efficiently enables new styles of drawing content on the web , removing many hard tradeoffs between visual richness , accessibility, and performance. These TransformStream types help applications efficiently deal with large amounts of binary data. CSS Custom Paint.

Media 145

Media Games Education Engineering 145

All Things Distributed

NOVEMBER 15, 2010

Now that our ability to generate higher and higher clock rates has stalled and CPU architectural improvements have shifted focus towards multiple cores, we see that it is becoming harder to efficiently use these computer systems. General Purpose GPU programming. Cluster Computer, Cluster GPU and Amazon EMR.

AWS 136

AWS Latency Programming Architecture 136

Dynatrace

AUGUST 5, 2019

It covers these key areas: Technology & Dependency Analysis. Resource consumption & traffic analysis. While most of our cloud & platform partners have their own dependency analysis tooling, most of them focus on basic dependency detection based on network connection analysis between hosts.

Cloud 31

Cloud Traffic Database Network 31

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. Intel Quick Assist Technology (QAT) was the focus of the QZFS paper which used this new hardware device to speed up file system compression.

Architecture 12

Architecture Hardware Cache Storage 12

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52

Highly Scalable

SEPTEMBER 18, 2012

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. This strict tradeoff is formalized by the CAP theorem.

Database 213

Database Latency C++ Scalability 213

Brendan Gregg

SEPTEMBER 5, 2017

I wrote a page on it: [perf]. - **eBPF**: tracing features completed in 2016, this provides efficient programmatic tracing to existing kernel frameworks. My rock solid experience with Ubuntu is on an LTS release. ## Crash Dump Analysis It can be done. It's the official profiler. If you're on an older Linux kernel (3.x),

Virtualization 76

Virtualization AWS Engineering Hardware 76

Percona

AUGUST 27, 2018

assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. We can split the task of having a good Resource Group implementation into three steps: You must perform an analysis of what you want to control. References.

Tuning 44

Tuning Virtualization Testing Servers 44

Alex Russell

OCTOBER 22, 2017

Contended, over-subscribed cells can make “fast” networks brutally slow, transport variance can make TCP much less efficient , and the bursty nature of web traffic works against us. Time required to read bytes from disk (it’s not zero, even on flash-based storage!). I suggest we should be conservative.

Performance 68

Performance Benchmarking Network Mobile 68

Alex Russell

JULY 14, 2021

Here, native apps are doing work related to their core function; storage and tracking of user data are squarely within the four corners of the app's natural responsibilities. Hardware access APIs, notably: Geolocation. Such enforcement is not challenging for Google, given its existing binary analysis infrastructure. Web Serial.

Google 121

Google Mobile Engineering Internet 121

Smashing Magazine

JANUARY 6, 2020

Treo Sites provides competitive analysis based on real-world data. On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). In exchange, your team gains maintainability and developer efficiency, of course. Large preview ).

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

Treo provides competitive analysis based on real-world data. On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing and execution times (we’ll talk about them in detail later). Large preview ). New metrics landed in Lighthouse v6 in early 2020. Large preview ). Choose the right metrics.

Performance 145

Performance Cache Media Metrics 145