Dynatrace

NOVEMBER 1, 2022

These metrics help to keep a network system up and running?, Containment: Implements actions to safeguard affected systems, resolves incidents quickly and escalates an event to other teams when necessary. Maintenance: Reduces the risk of an incident occurring again with root-cause analysis and continuous improvements to the system.

DevOps 207

DevOps Artificial Intelligence Metrics Network 207

Dynatrace

AUGUST 26, 2020

There’s no other competing software that can provide this level of value with minimum effort and optimal hardware utilization that can scale up to web-scale! I’d like to stress the lean approach to hardware that our customers require for running Dynatrace Managed. Optimal metric storage management strategy.

Performance 150

Performance Hardware Java Storage 150

Dynatrace

SEPTEMBER 30, 2021

Like any move, a cloud migration requires a lot of planning and preparation, but it also has the potential to transform the scope, scale, and efficiency of how you deliver value to your customers. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience. Here are three.

Cloud 165

Cloud Traffic Best Practices Strategy 165

Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. Evaluating factors like hit rate, which assesses cache efficiency level, or tracking key evictions from the cache are also essential elements during the Redis monitoring process.

Metrics 130

Metrics Monitoring Latency Cache 130

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

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? Customizing and connecting these services requires code.

Lambda 180

Lambda AWS Serverless Hardware 180

Percona

DECEMBER 27, 2023

According to a 2023 Forrester survey commissioned by Hashicorp , 61% of respondents had implemented, were expanding, or were upgrading their multi-cloud strategy. Nearly every vendor at Kubecon and every person we spoke to had some form of a multi-cloud requirement or strategy. We expect that number to rise higher in 2024.

Cloud 83

Cloud Open Source Strategy Best Practices 83

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. A distributed file system provides a unified view over aggregated storage from multiple physical machines.

Storage 64

Storage Systems Hardware Efficiency 64

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. You should also review your hardware resources, how you use MongoDB, and any custom configurations. Ready to supercharge your MongoDB experience? We walk you through the essential steps required.

Best Practices 91

Best Practices Hardware Tuning Scalability 91

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JANUARY 8, 2024

Confused about multi-cloud vs hybrid cloud and which is the right strategy for your organization? Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

The Netflix TechBlog

JUNE 4, 2019

We were able to meaningfully improve both the predictability and performance of these containers by taking some of the CPU isolation responsibility away from the operating system and moving towards a data driven solution involving combinatorial optimization and machine learning. We want to extend the system to support CPU oversubscription.

Cache 251

Cache Latency Airlines Logistics 251

Scalegrid

DECEMBER 21, 2023

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. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dotcom-Montior

NOVEMBER 27, 2018

Additionally, end users can access your site or applications from anywhere in the world using different browsers, operating systems, and mobile devices, all with varying connection speeds. Finding upper limits of your current systems for capacity planning. Identifying performance bottlenecks.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

Dotcom-Montior

OCTOBER 6, 2021

It also encompasses a strategy and set of practices and principles across service offerings and is closely tied to DevOps and operations. To think about it another way, site reliability engineering is where the traditional IT role, or system administration role, and DevOps meet. What Does a Site Reliability Engineer Do?

Engineering 67

Engineering DevOps Monitoring Google 67

Dotcom-Montior

DECEMBER 8, 2021

Systems, web applications, servers, devices, etc., SREs and DevOps teams can use these incidents to build back better and improve their systems and services. Now that we have talked about what an incident is, incident management is the process by which teams resolve these events and bring systems and services back to normal operation.

Social Media 90

Social Media Monitoring Latency DevOps 90

Scalegrid

FEBRUARY 1, 2024

MySQL is a popular open-source relational database management system for online applications and data warehousing. However, data loss is always possible due to hardware malfunction, software defects, or other unforeseen circumstances, just like with any computer system.

Best Practices 130

Best Practices Storage Strategy Database 130

Testsigma

FEBRUARY 12, 2021

The way we now look at software engineering has revolutionized test automation, with QA teams adapting automation to expand test scope, increase efficiency and do more testing in less time. In such cases, mostly what is needed is the efficient implementation of test automation.

Testing 54

Testing Testing Tools Software Engineering Efficiency 54

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Without data backup mechanisms, there can be data loss or system downtime.

Database 91

Database Hardware Open Source Strategy 91

Dynatrace

MAY 1, 2023

In addition to improved IT operational efficiency at a lower cost, ITOA also enhances digital experience monitoring for increased customer engagement and satisfaction. Additionally, ITOA gathers and processes information from applications, services, networks, operating systems, and cloud infrastructure hardware logs in real time.

Analytics 188

Analytics Artificial Intelligence Big Data Open Source 188

Percona

OCTOBER 18, 2023

Strategy: Choosing your path Having a strategy for your migration will make the move to open source go that much smoother. Your approach should align with your goals, abilities, and organizational requirements, and there are some common migration strategies for you to consider as you move forward. And finally… budgets.

Open Source 96

Open Source Database Hardware Strategy 96

Highly Scalable

AUGUST 20, 2013

In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, Apache Spark, and Apache Tez appeared and joined the army of Big Data and NoSQL systems. The system should deliver performance of tens of thousands messages per second even on clusters of minimal size.

Big Data 154

Big Data Processing Lambda Database 154

KeyCDN

SEPTEMBER 20, 2018

Let’s take a look at some of the best error monitoring tools and strategies for 2018. Error monitoring can get increasingly complicated as you deal with bugs reported by users and your production team, which is why having an efficient error tracking workflow from the beginning is so important. What is Error Tracking?

Strategy 67

Strategy Monitoring Website Google 67

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. This includes being able to select the right hardware options for the job, enforcing desired safety measures, and having access to a variety of database software.

Database 130

Database Cloud Hardware Storage 130

All Things Distributed

DECEMBER 20, 2017

The benefit for customers: Authorized users can view this data and therefore manage their inventories across different sites, making the maintenance processes much more efficient. Therefore, IT has never been more important for strategy than it is now – not only for us, but for every company in the digital age.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Testsigma

JANUARY 30, 2021

As mobile phones are readily available, users try to open that particular application on a mobile web browser, instead of signing into their systems and hitting the URL. Each smartphone comes with various screen sizes and resolutions, operates on different network speeds, and has different hardware capabilities.

Mobile 52

Mobile Testing Website Internet 52

Abhishek Tiwari

JULY 12, 2018

In a nutshell, a data pipeline is a distributed system. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. This can be efficient at the beginning but counter-productive in a long run.

Latency 63

Latency Analytics Scalability Engineering 63

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. Keep hardware and browsers updated at all times. Sound easy?

Cloud 201

Cloud Hardware Testing Logistics 201

The Agile Manager

JANUARY 22, 2010

While the software was primitive, you could solve many different kinds of problems and perform sophisticated analyses more efficiently than ever (e.g., Most corporate technology people (working in a department known as "Information Systems" as opposed to "Information Technology") didn’t take microcomputers all that seriously.

Google 40

Google Hardware Education Operating System 40

The Morning Paper

JUNE 27, 2019

Machine learning systems are stuck in a rut Barham & Isard, HotOS’19. In this paper we argue that systems for numerical computing are stuck in a local basin of performance and programmability. Convolutional Capsule primitives can be implemented reasonably efficiently on CPU but problems arise on accelerators (e.g.

Systems 87

Systems Tuning Programming Innovation 87

Smashing Magazine

AUGUST 15, 2021

Companies can use technology roadmaps to review their internal IT , DevOps, infrastructure, architecture, software, internal system, and hardware procurement policies and procedures with innovation and efficiency in mind. Unlike traditional software development approaches, Agile focuses on the strategy, not the plan.

Technology 139

Technology Technology Development Strategy 139

O'Reilly

SEPTEMBER 19, 2023

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. Google goes a step further in offering compute instances with its specialized TPU hardware. Millions of tests, across as many parameters as will fit on the hardware. Not that you’ll even need GPU access all that often.

Hardware 99

Hardware Storage Big Data Blockchain 99

Percona

AUGUST 8, 2023

As such, one of the more common questions I get from my clients is whether or not their system will be able to endure an anticipated load increase. Hardware considerations The first thing we have to consider here is the resources that the underlying host provides to the database. Let’s take a look at each common resource.

Traffic 90

Traffic Cache Monitoring Database 90

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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. Some disruption might occur, but it will be minimal. More in the following sub-section.)

Availability 111

Availability Database Open Source Hardware 111

Percona

JULY 26, 2023

To make this process work more efficiently and ensure a smooth failover, it is important to have the same hardware configuration on all the nodes of the replica set. This is more efficient than $regex but needs you to prepare in advance by adding text indexes to your data sets.

Database 81

Database Servers Storage Strategy 81

The Morning Paper

JUNE 11, 2019

To me that means the “simple” object access protocol, but not here: We introduce SOAP, a more comprehensive search space of parallelization strategies for DNNs that includes strategies to parallelize a DNN in the Sample, Operator, Attribute, and Parameter dimensions. compared to state-of-the-art approaches.

Network 81

Network Strategy Hardware Benchmarking 81