Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. billion in 2020 to $4.1

Analytics 198

Analytics Monitoring Artificial Intelligence DevOps 198

Dynatrace

JULY 8, 2019

When we wanted to add a location, we had to ship hardware and get someone to install that hardware in a rack with power and network. Hardware was outdated. Fixed hardware is a single point of failure – even when we had redundant machines. When a data center had issues, or a box has issues, our customers had issues.

Cloud 199

Cloud Hardware Testing Logistics 199

Dynatrace

SEPTEMBER 29, 2021

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. Networking. In production, containers are easy to replicate. Observability.

Open Source 290

Open Source Traffic DevOps Cloud 290

Dynatrace

JUNE 15, 2023

In general, cloud application security involves authentication and access control, data encryption, identity and user management, and vulnerability management. Moreover, common production tools, such as network scanners, can’t properly detect open source vulnerabilities inside containers.

Cloud 168

Cloud Open Source Architecture Monitoring 168

Dynatrace

SEPTEMBER 30, 2021

Cloud services platforms like AWS, Azure, and GCP are reshaping how organizations deliver value to their customers, making cloud migration an increasingly attractive option for running applications. With an on-prem data center, the organization bears the burden of securing the physical infrastructure and its digital assets.

Cloud 158

Cloud Traffic Best Practices Strategy 158

Scalegrid

JANUARY 8, 2024

Understanding Multi-Cloud and Hybrid Cloud Cloud computing has revolutionized the IT industry, offering a host of advantages including cost-effectiveness, increased agility, and access to cutting-edge hardware. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. But what do these entail?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

The Morning Paper

FEBRUARY 27, 2020

This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus. Gandalf analyses more than 20TB of data per day : 270K platform events on average (770K peak), 600 million API calls, with data on over 2,000 different fault types. Gandalf system design.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

Percona

FEBRUARY 24, 2023

PMM can also show you historical data that can help you identify how long a service has been in a given state. For example, if you need to upgrade a database with a large amount of data, this process could take hours, and your instance won’t be available during this time. become the responsibility of AWS, GCP, or Azure.

Cloud 116

Cloud Serverless AWS Storage 116

The Morning Paper

FEBRUARY 20, 2020

Given the desire to keep enterprise data within the database, and to treat models as data also, the question is can we do inference in the database with acceptable performance? A cross-optimiser then looks for opportunities to optimise the data operator parts of the query given the ML model, and vice-versa (e.g., pruning).

Processing 72

Processing Hardware Database Azure 72

The Morning Paper

SEPTEMBER 19, 2019

Their dataset has about 7B edges… Meanwhile, AnalyticDB is Alibaba’s real-time OLAP RDBMS handling 10PB of data (in excess of 100 trillion rows!). Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time.

Blockchain 46

Blockchain Hardware Google Analytics 46

The Morning Paper

MARCH 8, 2020

This paper describes the design decisions behind the Snowflake cloud-based data warehouse. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) From shared-nothing to disaggregation. joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 110

Performance Latency Cache Virtualization 110

SQL Performance

JANUARY 22, 2020

Table-valued parameters have been around since SQL Server 2008 and provide a useful mechanism for sending multiple rows of data to SQL Server, brought together as a single parameterized call. ) ; Then we will need a.NET application that is going to use this user-defined table type as an input parameter for passing data into SQL Server.

Servers 55

Servers Azure Hardware Network 55

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 56

Hardware Latency Virtualization Cloud 56

Testsigma

MAY 19, 2021

Infrastructure as a Service is the term used for those cloud-based solutions that provide complete infrastructure to the users including all the overheads, hardware, and networking facilities. As a user, you just need to pay for the services, install low-level requirements and set up the networking. Software as a Service (SaaS).

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

High Scalability

NOVEMBER 25, 2019

There are a couple of downsides though in case you are looking to use it to support tens of thousands of users working on hundreds of millions of files simultaneously containing petabytes of data. To help our customers manage ongoing data explosion, we have designed many of the core components over the last few years. Document store.

Architecture 52

Architecture Cache Azure Storage 52

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 40

Hardware Latency Virtualization Cloud 40

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] , Nov 2011 [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] , Feb 2012 [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] , 2013 [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 52

Performance Latency Cache Virtualization 52

Percona

JULY 26, 2023

It provides a flexible data model allowing you to easily store unstructured data. Over the years, MongoDB has had many features introduced that have turned the database into a robust solution able to store terabytes of data for applications. If you don’t update to this version, you will run the risk of losing data.

Database 79

Database Servers Storage Strategy 79

Sutter's Mill

JUNE 21, 2012

Now welcome to the hardware jungle. A classic example is TCP , which delivers reliable communications over notoriously- and deliberately-unreliable IP which can drop and reorder packets as network nodes and communications paths keep madly appearing and reappearing like a herd of crazed Cheshire cats. — The free lunch is over.

Latency 40

Latency Transportation Hardware Education 40

O'Reilly

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure. Given the cost of equipping a data center with high-end GPUs, they probably won’t attempt to build their own infrastructure.

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112

SQL Server According to Bob

JULY 13, 2016

desktop machine (I won’t tell you the hardware details. Over the years this product has grown into a complete data platform including Reporting Services, Analysis Services, Integration Services, more tools, Replication, R Services, and much more. So the initial time to run this all depends on your network speed.

Servers 40

Servers Media Engineering Virtualization 40