Dynatrace

JULY 11, 2023

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Architecture 161

Architecture Availability Infrastructure Metrics 161

Dynatrace

JANUARY 16, 2023

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes moved to the cloud in 2022.

Open Source 333

Open Source Java Operating System Programming 333

High Scalability

DECEMBER 16, 2022

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure.

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

FEBRUARY 23, 2022

DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues.

Serverless 254

Serverless Infrastructure Innovation DevOps 254

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA automates repetitive cloud operations tasks and streamlines the flow of analytics into decision-making processes.

Analytics 178

Analytics Artificial Intelligence Big Data Open Source 178

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 198

Analytics Monitoring Artificial Intelligence DevOps 198

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. This process effectively duplicates essential parts of information to safeguard against potential loss.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

OCTOBER 7, 2021

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Improving data processing. Boosting batch processing. Serverless architecture offers several benefits for enterprises. Simplicity.

Serverless 269

Serverless AWS Lambda Storage 269

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Real-time file processing, for quickly indexing files, processing logs, and validating content. How does AWS Lambda work?

Lambda 173

Lambda AWS Serverless Hardware 173

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. What is cloud migration?

Cloud 158

Cloud Traffic Best Practices Strategy 158

Dynatrace

JUNE 25, 2020

Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Save on costs for hardware and network bandwidth to optimize total cost of ownership. A similar analysis can be performed on your GRO. Automatic recovery for outages for up to 72 hours.

Availability 237

Availability Hardware Latency Traffic 237

Dynatrace

JUNE 15, 2023

Cloud application security is a combination of policies, processes, and controls that aim to reduce the risk of exposing cloud-based applications to compromise or failure from external or internal threats. Unfortunately, traditional security testing and software composition analysis requires significant time to return results.

Cloud 168

Cloud Open Source Architecture Monitoring 168

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. 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

Scalegrid

DECEMBER 21, 2023

This Command Line Interface (CLI) can be used for basic activity metrics and offers powerful real-time data analysis tools, giving you more control over the performance of your servers. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output.

Strategy 130

Strategy Monitoring Latency DevOps 130

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. It also supports the flexibility and scalability of the database infrastructure.

Availability 104

Availability Database Open Source Hardware 104

Dynatrace

MAY 1, 2020

This is especially the case with microservices and applications created around multiple tiers, where cheaper hardware alternatives play a significant role in the infrastructure footprint. Network measurements with per-interface and per-process resolution. Network metrics are also collected for detected processes.

Java 132

Java Hardware Tuning Metrics 132

Dynatrace

OCTOBER 28, 2021

The many disaster scenarios and outcomes allow chaos engineers to better model what happens to applications and microservices, which gives them increasing intelligence to share with developers to perfect software and cloud-native infrastructure. The history of chaos engineering. Netflix pioneered chaos engineering out of necessity.

Engineering 214

Engineering Entertainment Cloud Infrastructure 214

Percona

NOVEMBER 9, 2023

It simplifies infrastructure management and is the driving force behind many cloud-native applications and services. Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. Because of this flexibility, businesses may choose the infrastructure that best meets their needs.

Efficiency 99

Efficiency Cloud Healthcare Open Source 99

Dynatrace

OCTOBER 26, 2020

This integration ensures that performance data from testing tools such as JMeter is in the same place as all other relevant performance and infrastructure data. For all the hardware geeks – here is the architectural overview of his project: Architectural overview of all involved components in his COVID-19 home innovation project.

Innovation 149

Innovation Metrics Hardware Games 149

Dynatrace

JUNE 30, 2020

For those that like to read rather than watch a webinar, here I’ll give you a quick rundown of the four steps we covered, so you can start your modernization in areas where you feel Dynatrace can help your existing processes: Step #1: Monitor your SLAs using Dynatrace Synthetic. These options give you full flexibility.

Lambda 174

Lambda Monitoring Cloud DevOps 174

Dynatrace

AUGUST 30, 2019

Infrastructure Optimization: 100% improvement in Database Connectivity. Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. Infrastructure Optimization. Digital Performance: 99% reduction in Response Time, from 18.2s to 60ms in one of the more frequently used transactions.

Cache 190

Cache Architecture Database Government 190

The Netflix TechBlog

JUNE 4, 2019

Its goal is to assign running processes to time slices of the CPU in a “fair” way. The idea CFS operates by very frequently (every few microseconds) applying a set of heuristics which encapsulate a general concept of best practices around CPU hardware use. In Linux, the current mainstream solution is CFS (Completely Fair Scheduler).

Cache 251

Cache Latency Airlines Logistics 251

Scalegrid

JULY 13, 2020

of PostgreSQL users are currently in the process of migrating to the RDBMS, according to the 2019 PostgreSQL Trends Report , an astounding percentage considering this is the 4th most popular database in the world. Oracle infrastructure does not offer strong compatibility with open source RDBMS. In fact, PostgreSQL is so popular, 11.5%

Open Source 244

Open Source Tuning C++ Database 244

Percona

OCTOBER 18, 2023

It’s a complex process involving various factors and meticulous planning. Today, we’ll be taking a deep dive into the intricacies of database migration, along with specific solutions to help make the process easier. Evaluating your hardware requirements is another vital aspect of resource allocation.

Open Source 90

Open Source Database Hardware Strategy 90

Tech News Gather

JUNE 30, 2023

Introduction In today’s data-driven world, Geographic Information System (GIS) technology plays a pivotal role in numerous industries, revolutionizing decision-making processes and providing valuable insights into spatial data. These applications can range from simple map viewers to complex spatial analysis tools.

Technology 52

Technology Technology Development Retail 52

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. A finely tuned database processes queries more efficiently, leading to swifter results. MySQL relies heavily on the availability of hardware resources to perform at its best.

Tuning 52

Tuning Database Performance Hardware 52

Percona

JULY 7, 2023

No single point of failure (SPOF): If the failure of a database infrastructure component could cause downtime, that component is considered an SPOF. Also, in general terms, a high availability PostgreSQL solution must cover four key areas: Infrastructure: This is the physical or virtual hardware database systems rely on to run.

Availability 82

Availability Open Source Architecture Database 82

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

The Morning Paper

OCTOBER 4, 2020

It’s a great analysis that taught me a lot about the realities of 5G, and the challenges ahead if we are to eventually get there. Our analysis suggests that the wireline paths, upper-layer protocols, computing and radio hardward architecture need to co-evolve with 5G to form an ecosystem, in order to fully unleash its potential.

Energy 130

Energy Latency Performance Network 130

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

The Morning Paper

FEBRUARY 18, 2020

The core idea is to continuously monitor all aspects of the business, actively interpret the observations using advanced data analysis – including ML – and integrate the learnings into appropriate actions that improve business outcomes. Thus assemblies of models might need to be updated atomically.

Government 95

Government Software Engineering Storage Database 95

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. BTW, the "i" in the Standard_E64is_v3 naming means that the instance is isolated to hardware dedicated to a single customer.

Azure 72

Azure Virtualization Servers Storage 72

O'Reilly Software

APRIL 4, 2018

We live in the era of the connected experience, where our daily interactions with the world can be digitized, collected, processed, and analyzed to generate valuable insights. Accumulating all this data to process overnight is not an option anymore. Do we need to process each record individually? Process tolerance.

Architecture 80

Architecture Scalability Google Operating System 80

Scalegrid

JUNE 11, 2019

Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud. This report also represents the commercial database users who are also in the process of migrating to an open source database.

Open Source 55

Open Source Database Cloud Infrastructure 55

Adrian Cockcroft

JUNE 2, 2023

This tipping point is going to impact process oriented “complicated” jobs like how to use programming languages and web services first, but is spreading to include “ complex adaptive system” operations like driving cars over time. Rob Hirschfeld of RackN had this perspective on the impact of AI on his domain of infrastructure automation.

Social Media 98

Social Media Innovation Open Source Entertainment 98

Dotcom-Montior

DECEMBER 8, 2021

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. ITSM is the policies, processes, and structure behind the lifecycle of IT services. Incident Management Lifecyle: Process and Steps. Service Desk.

Social Media 90

Social Media Monitoring Latency DevOps 90

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. Total Cost of Ownership. What this chart summarizes is that.

AWS 118

AWS Hardware Traffic Best Practices 118