Dynatrace

MARCH 22, 2023

For these, it’s important to turn off auto-completing forms, encrypt data both in transit and at rest with up-to-date encryption techniques, and disable caching on data collection forms. Finally, determine countermeasures and remediation through deep vulnerability analysis.

Open Source 190

Open Source Artificial Intelligence Internet Internet 190

O'Reilly Software

JUNE 12, 2018

This meant a lot of time was spent on things like cycle time analysis, build pipeline design, test automation, and infrastructure automation. Back then, the most common pattern I saw for service-based systems was sharing a database among multiple services. And data was at the heart of the problem.

Database 72

Database Cache Architecture Latency 72

DZone

JUNE 10, 2019

While you can look at what's in cache through the DMVs to see the queries there, you don't get any real history and you don't get any detail of when the executions occurred. If you really want a detailed analysis of which query used the most CPU, you need to first set up an Extended Events session and then consume that data.

Cache 100

Cache Database Performance 100

Dynatrace

OCTOBER 15, 2021

OpenTelemetry (also referred to as OTel) is an open-source observability framework made up of a collection of tools, APIs, and SDKs, that enables IT teams to instrument, generate, collect, and export telemetry data for analysis and understand software performance and behavior. This occurs once data is safely stored within a local cache.

Open Source 212

Open Source Metrics Cloud Transportation 212

Percona

NOVEMBER 9, 2023

These graphs and panels not only show changes in usage and workload patterns but also changes in configuration, which can help during root cause analysis and performance reviews. Percona Monitoring and Management is a best-of-breed open source database monitoring solution. Let us know if you have any comments on it.

Monitoring 87

Monitoring Tuning Metrics Servers 87

The Netflix TechBlog

MARCH 5, 2019

the order of the rows on your Netflix home page, issuing content licenses when you click play, finding the Open Connect cache closest to you with the content you requested, and many more). A majority of the Netflix product features are either partially or completely dependent on one of our many micro-services (e.g.,

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

SQL Performance

APRIL 13, 2020

His version can be used for the plan cache – the only challenge there is the information is transient, so you may not capture every query that uses a particular index. value ( '(@Database) [1 ]' , 'varchar(128)' ) AS DatabaseName , obj. value ( '(@StatementText) [1 ]' , 'varchar(max)' ) AS SQL_Text , obj. nodes ( '.

Tuning 137

Tuning Cache Metrics Testing 137

Randon ASCII

SEPTEMBER 8, 2019

Sometimes the challenge in trace analysis is to find where the issue is, but for this issue that part of the analysis was trivial. This means that there is no caching between RuntimeBroker.exe and this file. I get cranky when databases do 4-KiB reads but this is amazing. The first signal is the input events.

Latency 79

Latency Cache Programming Operating System 79

Smashing Magazine

SEPTEMBER 20, 2021

We think of web scraping as a tool used to harvest web content for information analysis purposes, sometimes to the detriment of the site owner. Search Engine And Web Archive Cached Results. Another common category of imposter domains are domains used by search engines for delivering cached results or archived versions of page views.

Website 91

Website Analytics Cache Google 91

Adrian Cockcroft

JANUARY 29, 2023

I presented this analysis of response time distributions talk in 2016 — at Microxchg in Berlin ( video ). I spent a long time trying to figure out how to do this analysis at all, was hopeful that it was an existing technique if I could only find an example. I’ve been thinking about this for a long time.

Lambda 98

Lambda Latency Cache C++ 98

All Things Distributed

SEPTEMBER 20, 2013

Traditionally records in a database were stored as such: the data in a row was stored together for easy and fast retrieval. Combined with the rise of data warehouse workloads, where there is often significant redundancy in the values stored in columns, and database models based on column oriented storage took off.

Storage 87

Storage Hardware Cache C++ 87

ScaleOut Software

NOVEMBER 24, 2020

It sends messages over the cell network to the telematics system, which uses its compute servers (that is, web and application servers) to store incoming messages as snapshots in an in-memory data grid , also known as a distributed cache. The results of batch analysis are typically produced after an hour’s delay or more.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Dynatrace

SEPTEMBER 17, 2019

REDIS for caching. Another important view is the historical data across all nodes, which allows administrators to spot deployment imbalances as well as under or overprovisioned nodes: The node analysis view makes it easy to spot deployment imbalances as well as misconfigured and unhealthy nodes. #3 NGINX as an API Gateway.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Scalegrid

DECEMBER 21, 2023

Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

SQL Performance

NOVEMBER 18, 2019

The various types are: General purpose – Balanced CPU-to-memory ratio, small to medium databases. Memory optimized – High memory-to-CPU ratio, relational database servers, medium to large caches, and in-memory analytics. For a real production test, this should be large enough to help avoid hitting cache.

Azure 76

Azure Benchmarking Storage Virtualization 76

All Things Distributed

JUNE 20, 2017

Beyond running their web properties and applications, Next Digital also uses Amazon RDS (database), Amazon ElastiCache (caching), and Amazon Redshift (data warehousing). Next Digital operates on AWS in a more highly available and fault-tolerant environment than their previous colocation solution.

AWS 146

AWS Logistics Cloud Social Media 146

The Morning Paper

JUNE 20, 2019

In addition, Azure’s Fault Analysis Service supports various types of fault injections during testing, such as node restart, data migration, and random faults. In 40% of cases different parties assume different formats for shared files or database tables. It looks like data validation isn’t only useful in a machine learning context !

Cloud 81

Cloud Azure Cache C++ 81

The Morning Paper

MARCH 10, 2020

The tracing, replay, and analysis tools developed for this work are released in open source as part of the latest RocksDB release , and the new benchmark is now part of the db_bench benchmarking tool. All cache read misses and all writes go through UDB servers, with SQL queries being converted into RocksDB queries. Three workloads.

Benchmarking 59

Benchmarking Storage Cache Open Source 59

MachMetrics

DECEMBER 14, 2019

It is typically reduced via server-side optimizations, such as enabling caching and database indexes. In the analysis, the average TTFB speed was found to be 1.28 TTFB measures the time that elapses between when a user requests a site, and when that user’s browser receives the first bit of information. seconds on desktop and 2.59

Best Practices 105

Best Practices Speed Mobile Google 105

Dynatrace

AUGUST 12, 2019

With OneAgent installed on an application server, Davis, the Dynatrace AI causation engine, continuously analyzes all database statements within the context of your applications. Now, with Oracle database insights, we’re going even deeper, giving you visibility into what’s going on in the database layer.

Database 127

Database Metrics Cache Servers 127

SQL Performance

MAY 16, 2019

The cost analysis does not account for minimal logging directly; it is driven by the expected benefits of sequential I/O and the avoidance of page splitting. The following script should be run on a development SQL Server instance in a new test database set to use the SIMPLE or BULK_LOGGED recovery model. DMLRequestSort Conditions.

Cache 67

Cache Servers Testing Storage 67

Percona

APRIL 24, 2023

This post is about PostgreSQL, but most of the problems also apply to other database systems. The more indexes, the more the requirement of memory for effective caching. Indexes need more cache than tables Due to random writes and reads, indexes need more pages to be in the cache.

Tuning 124

Tuning Cache Storage Database 124

The Morning Paper

MAY 14, 2019

Seer uses a lightweight RPC-level tracing system to collect request traces and aggregate them in a Cassandra database. An equally large fraction are due to compute contention, followed by network, cache, memory, and disk contention. A DNN model is trained to recognise patterns in space and time that lead to QoS violations.

Big Data 45

Big Data Cloud Performance Hardware 45

Dynatrace

MAY 13, 2022

Apache Cassandra is an open-source, distributed, NoSQL database. Microsoft Azure offers multiple ways to manage Apache Cassandra databases. It also removes the need for developers and database administrators to manage infrastructure or update database versions.

Azure 231

Azure Latency Metrics Infrastructure 231

Percona

AUGUST 8, 2023

Hardware considerations The first thing we have to consider here is the resources that the underlying host provides to the database. 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. Do these queries use more caches?

Traffic 88

Traffic Cache Monitoring Database 88

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. AWS AppSync: AppSync offers a fully managed approach to developing APIs with GraphQL — connecting to AWS DynamoLB or Lambda along with adding caches and client-side data. Data Store.

Serverless 273

Serverless AWS Lambda Storage 273

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. HA is sometimes confused with “fault tolerance.”

Availability 105

Availability Database Open Source Hardware 105

Dynatrace

OCTOBER 21, 2020

Now, let me walk you through the actual steps the team took so you can see for yourself how not only we at Dynatrace but any engineering organization can benefit from Dynatrace in any stage of the software delivery cycle: Step 1: Dynatrace thread analysis. From here it’s a single click to the CPU Method Hotspot analysis!

Code 240

Code Cloud Engineering Java 240

Dynatrace

AUGUST 1, 2022

Interestingly, our partner RedHat reported in 2021 that around 80% of deployed workloads are databases or data caches, storing data in persistent volume claims (PVCs). You also decide to run your database for storing user uploads – such as images or videos – directly in Kubernetes. However, you lack insights into your PVCs.

Storage 180

Storage Database Network Metrics 180

Dynatrace

AUGUST 30, 2019

Infrastructure Optimization: 100% improvement in Database Connectivity. Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. That included web servers, app services, microservices, queues, databases, mainframe and external services.

Cache 193

Cache Architecture Database Government 193

Scalegrid

FEBRUARY 8, 2024

At its core, a distributed storage system comprises three main components: a controller for managing the system’s operations, an internal datastore where information is held, and databases geared towards ensuring scalability, partitioning capabilities, and high availability for all types of data.

Storage 130

Storage Systems Big Data Azure 130

Highly Scalable

SEPTEMBER 18, 2012

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. In this article I’m trying to provide more or less systematic description of techniques related to distributed operations in NoSQL databases. Data Placement. System Coordination. Read/Write latency.

Database 213

Database Latency C++ Scalability 213

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

Dynatrace

NOVEMBER 3, 2021

For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time. Experienced database administrators learn to spot patterns that can lead to common problems. Organizations look to observability to provide the data they need for contextual analysis.

Monitoring 213

Monitoring Metrics DevOps Scalability 213

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

Scalability 40

Scalability Cache Airlines Healthcare 40

Smashing Magazine

NOVEMBER 22, 2021

Another advantage of field measurements is that they match the approach taken by Google in order to collect performance data into the CrUX database. Since it is the CrUX data that is used as an input for Google’s performance ranking signal, utilizing the same approach for performance analysis is very important. Large preview ).

Website 128

Website Performance Google Media 128