Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Many technologies expose their metrics in the Prometheus data format. Easily gain actionable insights with the Dynatrace Extension for Prometheus metrics. Dynatrace news.

Technology 219

Technology Technology Metrics Infrastructure 219

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. 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.

Performance 108

Performance Monitoring Traffic Database 108

Percona

MARCH 17, 2023

These updates are designed to keep databases running at peak performance and simplify database operations. But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment.

Monitoring 104

Monitoring Scalability Cache Database 104

Percona

AUGUST 17, 2023

PostgreSQL is open source relational database management software. It’s used for data management (shocker), application development, and data analytics. In another survey, using multiple metrics for overall popularity, PostgreSQL ranks as the fourth most popular database management system ( DB-Engines, March 2023 ).

Open Source 83

Open Source Healthcare Social Media Database 83

Percona

APRIL 14, 2023

A shared characteristic in most (if not all) databases, be them traditional relational databases like Oracle, MySQL, and PostgreSQL or some kind of NoSQL-style database like MongoDB, is the use of a caching mechanism to keep (a copy of) part of the data in memory. So, how do you know if your hot data is in memory? MySQL does.

Cache 95

Cache Efficiency Database Monitoring 95

The Netflix TechBlog

OCTOBER 19, 2020

Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. An additional implication of a lenient sampling policy is the need for scalable stream processing and storage infrastructure fleets to handle increased data volume. Storage: don’t break the bank!

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

OCTOBER 4, 2022

The only way to address these challenges is through observability data — logs, metrics, and traces. Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. Enter Grail-powered data and analytics.

Analytics 193

Analytics Software Software Storage 193

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says.

Analytics 188

Analytics Innovation Metrics Database 188

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. PostgreSQL & Elastic for data storage. Robert’s AWS & EKS admin team are monitoring most services with that capability but found it beneficial for them to have Dynatrace monitor Elastic File Storage (EFS). 3 Log Analytics. Full-stack observability. Service mash insights.

AWS 128

AWS Monitoring Ecommerce Lambda 128

The Netflix TechBlog

JULY 30, 2019

The Netflix Media Database (NMDB) is one such example. Below is a snapshot of our Kibana dashboard which shows the workflow execution metrics over a typical 7-day period. Developer Labs, Logging and Metrics We have been continually improving logging and metrics, and revamped the documentation to reflect the latest state of Conductor.

Lambda 189

Lambda Media Open Source Metrics 189

The Netflix TechBlog

MAY 21, 2019

We needed a way to run agents and tie the runs to the internal infrastructure for analytics, reporting, and visualizations. The metrics relevant to the training and recommendation process are reported to Atlas and visualized using Netflix’s Lumen.

Testing 163

Testing AWS Lambda Network 163

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

OCTOBER 4, 2022

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. Achieving the ideal state with aggregated, centralized log data, metrics, traces , and other metadata is challenging—particularly for multicloud environments.

Analytics 223

Analytics Storage Infrastructure Metrics 223

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. ” In many cases, indexed databases only provide access to a sample of statistical data summaries.

Analytics 190

Analytics Infrastructure Storage Efficiency 190

All Things Distributed

AUGUST 22, 2011

There are many success stories about the effectiveness of caching in many different scenarios; next to helping applications achieving fast and predictable performance, it often protects databases from requests bursts and brownouts under overload conditions. Driving Storage Costs Down for AWS Customers. Syndication. or rss feed.

Cloud 117

Cloud Cache AWS Storage 117

Dynatrace

FEBRUARY 9, 2021

As an application owner, product manager, or marketer, however, you might use analytics tools like Adobe Analytics to understand user behavior, user segmentation, and strategic business metrics such as revenue, orders, and conversion goals. Enable the storage types, select Add property.

Analytics 138

Analytics Mobile Airlines Monitoring 138

Smashing Magazine

JANUARY 15, 2019

The Green Web Foundation maintains an ever-growing database of web hosts who are either wholly powered by renewable energy or are at least committed to being carbon neutral. The key metric for measuring the sustainability of a digital product is its energy usage. Many efforts are afoot to improve the situation on the web.

Website Performance 73

Website Performance Website Energy Performance 73

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. Why would this be the case?

C++ 40

C++ Benchmarking Virtualization Open Source 40

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. Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality.

DevOps 195

DevOps Analytics Airlines Metrics 195

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

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

JANUARY 20, 2022

Azure supporting services (Synapse Analytics). Apache Spark pool metrics are replaced with new ones. See Available metrics. DL/I segment name for DL/I databases. RUM linking timeouts adjusted in transaction storage. (APM-341299). Improved `builtin:apps.web.actionCount.summary` metric. (APM-339840).

Lambda 182

Lambda AWS Metrics Azure 182

Dynatrace

APRIL 21, 2022

You can create custom log metrics for smarter and faster troubleshooting, and you will be able to understand log data in the context of your full stack, including real user impacts. The default values cover a large range of different cluster sizes; you can modify them according to your needs, based on the ActiveGate self-monitoring metrics.

Azure 218

Azure Metrics AWS Monitoring 218

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., ” For just the YouTube Analytics application, we’re looking at metrics like this, with a 99%-ile latency of 412ms: Embedded statistics use cases include the various counters such as views, likes, and subscriptions that are included in pages.

Analytics 75

Analytics Latency Cache Google 75

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The HammerDB name.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

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. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Smashing Magazine

NOVEMBER 2, 2021

Moreover, Garten-und-Freizeit, a German e-commerce store that sells furniture, saw an amazing improvement in their metrics after getting a PWA. On the contrary, a native application of an e-commerce store can come at 30, 50, or even 100 MB and up, consuming internal device storage. Image credit: Garten-und-Freizeit. Large preview ).

Code 74

Code Cache Retail Mobile 74

Percona

DECEMBER 14, 2022

In the database world there are essentially two types of database operations: Online Transaction Processing , OLTP : Online transaction processing applications have high throughput and are insert- or update-intensive in database management. Columnar storage. OLTP vs OLAP. Let’s get back to basics. consolidation (roll-up).

Database 93

Database Analytics Storage Processing 93

Dynatrace

MAY 7, 2020

Actionable insights with our Adobe Analytics integration and new web properties (referrer, UTM…). Metric and configuration storage database was updated to Cassandra 3.0.20 New Cluster events and email notifications are created when the metrics storage exceeds the 2TiB threshold. Other changes.

Storage 104

Storage Analytics Metrics Mobile 104

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Werner Vogels weblog on building scalable and robust distributed systems.

Scalability 167

Scalability Database Ecommerce Latency 167

Dynatrace

AUGUST 27, 2020

Dynatrace’s ability to ingest metrics from all 95 AWS services will be available within the next 60 days. The latest batch of services cover databases, networks, machine learning and computing. Amazon Database Migration Service. Amazon Quantum Ledger Database (QLDB). AWS IoT Analytics. AWS Storage Gateway.

AWS 271

AWS Cloud IoT Database 271

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. There are certain metrics to be considered for a user to have a hassle-free experience. Database connectivity. Database Connectivity. Present-day applications make more much use of the database. Connection time.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Alex Russell

MARCH 6, 2021

The scale of the effect can be deeply situational or hard to suss out without solid metrics. A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. The Moto G4 , for example. Baselines And Budgets Remain Vital.

Performance 124

Performance Network Cache Metrics 124

Dynatrace

JANUARY 11, 2023

To stay competitive in an increasingly digital landscape, organizations seek easier access to business analytics data from IT to make better business decisions faster. Five constraints that limit insights from business analytics data. Teams derive business metrics from many sources. High storage costs. Data silos.

Analytics 191

Analytics Strategy Storage Technology 191

SQL Performance

APRIL 23, 2019

Columnstore storage. To understand this, it is necessary to first review how columnstore storage works at a high level: A compressed row group contains a column segment for each column. Value encoding can reduce the number of bits required for storage by translating raw values using a base offset and magnitude modifier.

Servers 67

Servers Testing Metrics Storage 67

Smashing Magazine

JANUARY 6, 2020

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study, or a proof of concept using the Performance API on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Quick Wins.

Performance 145

Performance Cache Network Metrics 145