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. What is log monitoring? Log monitoring vs log analytics.

Analytics 218

Analytics Monitoring Artificial Intelligence DevOps 218

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources. Watch webinar now!

Monitoring 209

Monitoring Serverless Programming Speed 209

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources.

Monitoring 208

Monitoring Serverless Programming Speed 208

Dynatrace

FEBRUARY 2, 2022

This means you no longer have to procure new hardware, which can be a time-consuming and expensive process. All data at rest is stored in Azure Storage and is encrypted and decrypted using 256-bit AES encryption (FIPS 140-2 compliant). Additionally, the investment for on-prem installations is a lot more expensive to manage over time.

Azure 323

Azure Availability Hardware Innovation 323

Scalegrid

FEBRUARY 1, 2024

However, data loss is always possible due to hardware malfunction, software defects, or other unforeseen circumstances, just like with any computer system. The biggest drawbacks are that a full backup can be time-consuming, and they require a significant amount of storage space.

Best Practices 130

Best Practices Storage Strategy Database 130

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. Computer operations manages the physical location of the servers — cooling, electricity, and backups — and monitors and responds to alerts. Functionality.

Artificial Intelligence 211

Artificial Intelligence DevOps Hardware Virtualization 211

Dynatrace

DECEMBER 8, 2021

Many customers try to use traditional tools to monitor and observe modern software stacks, but they struggle to deal with the dynamic and changing nature of cloud environments. When an application runs on a single large computing element, a single operating system can monitor every aspect of the system.

Cloud 233

Cloud Serverless Hardware Operating System 233

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

MAY 14, 2020

A Dynatrace Managed cluster may lack the necessary hardware to process all the additional incoming data. The cluster sizing doesn’t match requirements because a large number of hosts were added to monitoring after the initial sizing, and the cluster needs to be expanded. All this automatically and with the same hardware.

Processing 159

Processing Hardware Traffic Storage 159

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. What is AWS Outposts? Next steps.

AWS 207

AWS Design Storage Cloud 207

Dynatrace

JUNE 25, 2020

Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Near-zero RPO and RTO—monitoring continues seamlessly and without data loss in failover scenarios. Achieve high SLOs with seamless monitoring when entire data centers experience outages.

Availability 253

Availability Hardware Latency Traffic 253

Scalegrid

DECEMBER 6, 2023

This type of database offers scalability with no downtime along with giving businesses control over what resources they use through customization capabilities such as choosing hardware infrastructure options or building security measures around it. These advantages come at an expense.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

NOVEMBER 3, 2022

IaaS provides direct access to compute resources such as servers, storage, and networks. In FaaS environments, providers manage all the hardware. Alternatively, in a CaaS model, businesses can directly access and manage containers on hardware. CaaS vs. FaaS. Choosing the right CaaS provider for your business.

Serverless 224

Serverless Azure Hardware Transportation 224

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

The Netflix TechBlog

MARCH 8, 2021

They need specialized hardware, access to petabytes of images, and digital content creation applications with controlled licenses. They could need a GPU when doing graphics-intensive work or extra large storage to handle file management. An API in conjunction with variables in the pipeline creates Workstation pools programmatically.

Entertainment 306

Entertainment Storage Hardware Open Source 306

Dynatrace

JULY 31, 2020

While to-date it’s been possible to integrate Dynatrace Managed for intelligent monitoring of services running on AWS and Azure, today we’re excited to announce the release of our Dynatrace Managed marketplace listing for the Google Cloud Platform. For more details, see Dynatrace Managed hardware and systems requirements.

Cloud 219

Cloud Availability Azure Google 219

Scalegrid

JANUARY 5, 2024

The DBMS is key to maintaining these aspects by offering a storage system that allows users to perform operations such as data insertion, deletion, and selection, thereby promoting enhanced data integration across diverse applications and platforms. Practical Applications of DBMS DBMS finds practical applications in various fields.

Efficiency 147

Efficiency Storage Database Scalability 147

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. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 88

Database Hardware Open Source Strategy 88

Dynatrace

NOVEMBER 11, 2020

Deployment performs the whole rollout, instrumentation, configuration, connection, and automatic detection of monitored entities in your environment. Easier rollout thanks to log storage best practices. Easier rollout thanks to log storage best practices. Advanced customization of OneAgent deployments made easy.

Best Practices 206

Best Practices Storage Java Benchmarking 206

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Website and Web Application Monitoring. Web monitoring is a comprehensive term that describes the activity of testing a website or web application for its availability and performance. HTTP Monitoring. Hardware resources.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Percona

JUNE 22, 2023

A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance. In this blog, we will explore various MySQL KPIs that are basic and essential to track using monitoring tools like PMM.

Performance 104

Performance Monitoring Traffic Database 104

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

Apica

AUGUST 12, 2020

One of the best conversations from the event was a discussion on the five challenges enterprises need to know about testing and monitoring. Below are the five challenges we discussed regarding testing and monitoring. Monitoring Costs. With unlimited funds and resources, monitoring is not overly challenging. Scalability.

Monitoring 52

Monitoring Testing Scalability Hardware 52

Percona

FEBRUARY 24, 2023

Let’s take a look at how to get the benefits you need while spending less, based on the recommendations presented by Dani Guzmán Burgos, our Percona Monitoring and Management (PMM) Tech Lead, on this webinar (now available on demand) hosted in November last year. Marked in red in Figure 1 is a server with less than 30% of CPU usage.

Cloud 119

Cloud Serverless AWS Storage 119

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. there cannot be high availability.

Availability 79

Availability Hardware Open Source Database 79

Percona

OCTOBER 18, 2023

Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Evaluating your hardware requirements is another vital aspect of resource allocation. Look closely at your current infrastructure (hardware, storage, networks, etc.)

Open Source 92

Open Source Database Hardware Strategy 92

Percona

JULY 7, 2023

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. Can you afford the necessary hardware, software, and operational costs of maintaining a PostgreSQL HA solution? there cannot be high availability.

Availability 84

Availability Open Source Architecture Database 84

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

Percona

JUNE 30, 2023

Additionally, Percona Operator for PostgreSQL version 2 includes expanded options for customizing backup and restore operations, improved monitoring and alerting capabilities, and support for PostgreSQL 15. This can be useful if you plan to migrate to new hardware or need to test the new topology. In version 1.x,

Availability 94

Availability Open Source Azure Hardware 94

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 108

Availability Database Open Source Hardware 108

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. RDS MySQL is 5.5,

AWS 52

AWS Database Serverless Storage 52

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. The basic tier provides up to 5 DTUs with standard storage. Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. vCore Pricing Tier. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

ACM Sigarch

OCTOBER 4, 2018

This is the first post in a series of posts on different approaches to systems security especially as they apply to hardware and architectural security. The class of techniques described in this blog post, which we broadly refer to as applied hardware and architecture cryptography, apply proven cryptographic techniques to strengthen systems.

Systems 47

Systems Hardware Storage Healthcare 47

Percona

AUGUST 5, 2023

Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. This method distributes data evenly across partitions to achieve balanced storage and optimal query performance. You want to ensure that table lookups go to the correct partition or group of partitions.

Strategy 40

Strategy Storage Database Best Practices 40

Dynatrace

MARCH 23, 2020

A decade ago, while working for a large hosting provider, I led a team that was thrown into turmoil over the purchasing of server and storage hardware in preparation for a multi-million dollar super-bowl ad campaign. Our procurement decisions were based on trace data that was pulled from a handful of fragmented monitoring solutions.

Google 196

Google Engineering Metrics Hardware 196

Dotcom-Montior

OCTOBER 6, 2021

trying to reduce the amount of manual work and ensuring all the components (infrastructure/hardware, middleware, software, etc.) Monitoring. One minute an SRE might be provisioning storage in AWS, the next minute an SRE might have to talk to customers or go write some Python code for a new project. Availability. Performance.

Engineering 67

Engineering DevOps Monitoring Google 67

Percona

AUGUST 18, 2023

The original motivation for FB was due to different hardware generations, especially between regions/data centers. And I agree that in the modern age of cloud and huge flash storage, the vast majority of companies will never need to consider doing this in prod, but there is always a chance of its need. AFAIK Facebook does this.

Programming 85

Programming Servers Database Hardware 85