Dynatrace

SEPTEMBER 15, 2020

In addition to automatic full-stack monitoring, Dynatrace provides comprehensive support for all AWS services that publish metrics to Amazon CloudWatch, providing advanced observability for dynamic hybrid clouds. Dynatrace now monitors your AWS Outposts environment just like any AWS cloud Region. Next steps.

AWS 275

AWS Design Cloud Storage 275

Dynatrace

NOVEMBER 3, 2022

Instead, enterprises manage individual containers on virtual machines (VMs). In FaaS environments, providers manage all the hardware. Alternatively, in a CaaS model, businesses can directly access and manage containers on hardware. Instead, CaaS solutions are often divided into different classes: Individual VM containers.

Serverless 297

Serverless Azure Hardware Transportation 297

The Morning Paper

MARCH 1, 2020

Firecracker is the virtual machine monitor (VMM) that powers AWS Lambda and AWS Fargate, and has been used in production at AWS since 2018. The traditional view is that there is a choice between virtualization with strong security and high overhead, and container technologies with weaker security and minimal overhead.

Virtualization 101

Virtualization Serverless Lambda AWS 101

Dynatrace

APRIL 15, 2022

Organizations hit this cloud operations wall when replacing static virtual machines with dynamic container orchestration and expanding to multicloud environments. Today, VA uses Dynatrace to monitor over 150 different cloud instances — even hybrid instances of applications. In 48 hours, we had a total of 6,500 servers monitored.”

Cloud 245

Cloud Infrastructure Innovation Monitoring 245

Dynatrace

NOVEMBER 29, 2022

The purpose of infrastructure as code is to enable developers or operations teams to automatically manage, monitor, and provision resources, rather than manually configure discrete hardware devices and operating systems. In response, Dynatrace introduced Monaco (Monitoring-as-code). Register now!

Infrastructure 244

Infrastructure Code Cloud DevOps 244

Scalegrid

APRIL 16, 2020

This is why our BYOC pricing is less than our Dedicated Hosting pricing, as the costs listed for BYOC are only what you pay for ScaleGrid and don’t include your hardware costs. All DBaaS management, monitoring, and maintenance tools are included in both plans, along with 24/7 support. Where to host your cloud database? Security Groups.

Cloud 242

Cloud Azure AWS Database 242

Dynatrace

AUGUST 5, 2019

Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. Dynatrace automatically detects and monitors all your databases used by your applications and services once the OneAgent is installed. Which Database to migrate?

Cloud 38

Cloud Traffic Database Network 38

Dotcom-Montior

NOVEMBER 24, 2021

Setting up and monitoring these systems was pretty easy compared to today’s standards. There were no dynamic web applications or complex user scenarios to have to monitor. monitoring distributed systems becomes much more difficult to carry out and manage. Onto the next project. Gone are the days of monolithic architecture.

Systems 74

Systems Monitoring Hardware Network 74

Alex Podelko

OCTOBER 20, 2016

From one side, it makes it easier to monitor and update / rollback systems that lowers performance-related risks. The answer to this challenge is service virtualization, which allows simulating real services during testing without actual access. System’s configuration is not given anymore and often can’t be easily mapped to hardware.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

ACM Sigarch

OCTOBER 25, 2019

When it comes to hardware support to mitigate software security issues, there is a significant gap between what is available in products today and known solutions. Acceleration—Adding hardware support to reduce the runtime overheads of security features. Also known as a “correct by construction” approach to security.

Hardware 99

Hardware Virtualization Architecture Open Source 99

Scalegrid

AUGUST 30, 2024

Regular monitoring, logging, and compliance with industry regulations such as PCI-DSS, HIPAA, and GDPR increase RabbitMQ security by enabling audit trails and timely incident response. The continuous security of your messaging system hinges on persistent monitoring and routine updates.

Transportation 130

Transportation Virtualization Strategy Storage 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. Failure detection : Monitoring mechanisms detect failures or issues that could lead to failures.

Availability 132

Availability Database Open Source Hardware 132

Alex Podelko

SEPTEMBER 8, 2020

Instead of diving in arguing about specific points (which I partly did in my earlier post – start from The Future of Performance Testing if you are interested), I decided to talk to people who monetize on these “myths” So here is a virtual interview with Guillaume Betaillouloux , co-founder and Performance Director of OctoPerf.

Open Source 223

Open Source Performance Testing Testing Performance 223

Percona

AUGUST 22, 2023

Some of the most important elements include: No single point of failure (SPOF): You must eliminate any SPOF in the database environment, including any potential for an SPOF in physical or virtual hardware. Failure detection: Monitoring mechanisms detect failures or issues that could lead to failures. What is fault tolerance?

Availability 98

Availability Hardware Open Source Database 98

Dotcom-Montior

NOVEMBER 11, 2020

Serverless computing can be a huge benefit to organizations that don’t have the necessary resources or teams to manage physical resources, like servers/hardware, and all the maintenance and licensing that goes along with that, allowing them to focus on developing their code and applications. Monitoring. Benefits of a Serverless Model.

Serverless 57

Serverless Monitoring Lambda Latency 57

Percona

JUNE 12, 2023

The immediate (working) goal and requirements of HA architecture The more immediate (and “working” goal) of an HA architecture is to bring together a combination of extensions, tools, hardware, software, etc., Failure detection : Monitoring mechanisms detect failures or issues that could lead to failures.

Architecture 124

Architecture Availability Open Source Healthcare 124

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. They maintain fault tolerance and redundancy by replicating this information throughout various nodes in the system.

Storage 130

Storage Systems Big Data Azure 130

Percona

JULY 7, 2023

HA in PostgreSQL databases delivers virtually continuous availability, fault tolerance, and disaster recovery. 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. there cannot be high availability.

Availability 98

Availability Open Source Architecture Database 98

Smashing Magazine

OCTOBER 27, 2021

Nowadays, hardware and software are designed to conduct eye-tracking studies for marketing , UX , psychological and medical research , gaming , and several other use cases. Another area that has been showing huge potential is eye-tracking in the context of virtual reality. Source: Nielsen Norman Group ) ( Large preview ).

Mobile 128

Mobile Website Hardware Social Media 128

HammerDB

JULY 6, 2024

In a recent project comparing systems for MariaDB performance, a user had originally been using a tool called sysbench-tpcc to compare hardware platforms before migrating to HammerDB. This is a brief post to highlight the metrics to use to do the comparison using a separate hardware platform for illustration purposes. idle%-99.97

C++ 52

C++ Hardware Benchmarking Virtualization 52

KeyCDN

JANUARY 23, 2020

These acronyms, which stand for real user monitoring and application performance monitoring, are software monitoring processes essential to measuring and evaluating applications in many different areas. What is real user monitoring (RUM)? What is application performance monitoring (APM)?

Strategy 72

Strategy Metrics Monitoring Servers 72

Dotcom-Montior

DECEMBER 8, 2021

You cannot virtualize everything…yet. Software services still require physical devices and hardware for them to function. Incident identification begins with some form of monitoring or alerting mechanism. We talked about monitoring distributed systems in a different article and how that pertains to SRE teams.

Social Media 90

Social Media Monitoring Latency DevOps 90

Brendan Gregg

MARCH 16, 2024

It was also a virtual machine that lacked low-level hardware profiling capabilities, so I wasn't able to do cycle analysis to confirm that the 10% was entirely frame pointer-based. Enterprise environments are monitored, continuously profiled, and analyzed on a regular basis, so this capability will indeed be put to use.

Java 137

Java Cache Google Hardware 137

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. And there’s going to be a lot of them! Data management.

Government 95

Government Software Engineering Storage Database 95

Percona

SEPTEMBER 1, 2023

Vertical scaling is also often discussed, which involves increasing the resources of a single server, which can have limitations in hardware capabilities and become costly as demands grow. 2) Hardware limitations Disk and memory are inexpensive nowadays. An example is running MongoDB on Mesos.

Best Practices 98

Best Practices Traffic Database Servers 98

O'Reilly

NOVEMBER 28, 2023

That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure. These models are typically smaller (7 to 14 billion parameters) and easier to fine-tune, and they can run on very limited hardware; many can run on laptops, cell phones, or nanocomputers such as the Raspberry Pi.

Open Source 137

Open Source Google Artificial Intelligence Infrastructure 137

SQL Performance

APRIL 27, 2020

It is built as part of the platform-as-a-service environment which provides customers with additional monitoring and security for the product. Fast forward a few years after Azure SQL Database was released to when Azure SQL Managed Instance was in public preview, and "vCores" (virtual cores) were announced for Azure SQL Database.

Azure 55

Azure Database Serverless Hardware 55

O'Reilly

JULY 15, 2020

Combined, technology verticals—software, computers/hardware, and telecommunications—account for about 35% of the audience (Figure 2). So it just makes sense to instantiate microservices at the level of the virtual machine (VM), as distinct to that of the container. Figure 2: Respondent industries. The high showing for API quality—i.e.,

Database 145

Database Architecture Education Systems 145

Dotcom-Montior

NOVEMBER 27, 2018

The scripts can be uploaded into the LoadView platform and replayed by a virtually unlimited number of simultaneous users, giving you actual performance from real browsers. Shift Right – Monitoring Performance after Deployment. Distribute user load by geographical testing locations, simulating your customer base.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

HammerDB

NOVEMBER 22, 2021

By clicking on the Metrics Display option, HammerDB will connect to the target database and start monitoring the performance, note that if the pg_active_session_history table is empty the viewer will report an error and refuse to start. The example shows a TPROC-C workload running with 4 Active Virtual Users. No rows found.

Metrics 63

Metrics Benchmarking C++ Database 63

Dotcom-Montior

JUNE 19, 2017

Today we’ll be reviewing LoadView , an on-demand load-testing platform from Dotcom-Monitor that makes realistic load testing possible without an up-front investment in hardware or software infrastructure. Thanks to cloud-based virtual servers, LoadView can send traffic to your site or application from around the world.

Performance Testing 40

Performance Testing Testing Performance Virtualization 40

ACM Sigarch

MAY 31, 2023

There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. About CXL hardware availability with academia. Also, besides the hardware, we see the software ecosystem starts to appear (e.g., Using emulation (e.g.

Latency 52

Latency Hardware Cache Architecture 52

Abhishek Tiwari

DECEMBER 27, 2017

Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. support for logging, monitoring, and observability. In fact, if we go by current trends containerised microservices running on Kubernetes are the future.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Testsigma

JULY 3, 2021

From the maintenance and monitoring of the machines and software to upgrading and installations — you’ll need all hands on deck. More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. As the name suggests, it happens on-premise.

Cloud 57

Cloud Testing Storage DevOps 57

Abhishek Tiwari

JULY 12, 2018

A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. This means despite having extensive observability and monitoring we cannot detect new problems or issues unless we go through them. A data pipeline can process data in a different order than they were received.

Latency 63

Latency Analytics Scalability Engineering 63

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. The key aspect is the presence of the TP Monitor and this is arguably the area where the most confusion arose in stating that a HammerDB TPC-C workload was not an actual TPC-C workload which should have already been clear.

C++ 40

C++ Benchmarking Virtualization Open Source 40

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. driver: intel_pstate CPUs which run at the same hardware frequency: 0 . hardware limits: 1000 MHz - 3.80 hardware limits: 1000 MHz - 3.80 current CPU frequency: Unable to call hardware .

Best Practices 40

Best Practices Scalability Performance C++ 40