Dynatrace

AUGUST 16, 2022

For example: Infrastructure services might provide data about request timings that can give you a precise overview of system health, but the data is logged in a custom format. For example, Dynatrace recently introduced the extraction of log-based metrics for JSON logs.

Processing 181

Processing Metrics Monitoring Java 181

Dynatrace

MAY 17, 2022

For years, enterprises managed observability data on a team-by-team basis , using a combination of ticketing systems and configuration management tools. The following example drives the point home. The application consists of several microservices that are available as pod-backed services. Monitoring such an application is easy.

Availability 309

Availability Scalability Cloud Metrics 309

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. Some disruption might occur, but it will be minimal.

Availability 109

Availability Database Open Source Hardware 109

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Log analytics, on the other hand, is the process of using the gathered logs to extract business or operational insight.

Systems 180

Systems Cloud Analytics DevOps 180

Dynatrace

MAY 6, 2024

A tight integration between Red Hat Ansible Automation Platform, Dynatrace Davis ® AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from: Detecting a problem. With DQL, the workflow trigger to initiate a required automation and remediation process can be defined.

DevOps 278

DevOps Software Engineering Games Java 278

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. For example, in a three-node cluster, one node can go down; in a cluster with five or more nodes, two nodes can go down. Turnkey high availability across globally distributed data centers.

Availability 241

Availability Hardware Latency Traffic 241

Percona

JUNE 12, 2023

When it comes to access to their applications, users demand instant, reliable, and secure interactions — and that means databases must be highly available. With database high availability (HA), services are largely uninterrupted, and end users are largely satisfied. The obvious answer is this: To achieve high availability.

Architecture 97

Architecture Availability Open Source Healthcare 97

Percona

JULY 7, 2023

With the average cost of unplanned downtime running from $300,000 to $500,000 per hour , businesses are increasingly using high availability (HA) technologies to maximize application uptime. Where a high availability design once worked well, it can no longer keep up with more complex requirements. there cannot be high availability.

Availability 85

Availability Open Source Architecture Database 85

High Scalability

APRIL 16, 2019

In this three-part blog series, we introduced a High Availability (HA) Framework for MySQL hosting in Part I, and discussed the details of MySQL semisynchronous replication in Part II. Now in Part III, we review how the framework handles some of the important MySQL failure scenarios and recovers to ensure high availability.

Availability 149

Availability Network Azure AWS 149

Particular Software

SEPTEMBER 11, 2023

Migrating a message-based system from on-premises to the cloud is a colossal undertaking. If you search for “how to migrate to the cloud”, there are reams of articles that encourage you to understand your system, evaluate cloud providers, choose the right messaging service, and manage security and compliance.

Cloud 126

Cloud Systems Azure Airlines 126

IO River

NOVEMBER 2, 2023

What is 5 Nines Availability?In However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."Five This level of availability equates to only about 5.26

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

What is 5 Nines Availability?In However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."Five This level of availability equates to only about 5.26

Availability 52

Availability Social Media Traffic Games 52

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 240

AWS Efficiency Azure Cloud 240

Dotcom-Montior

NOVEMBER 24, 2021

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify. What is a Distributed System?

Systems 74

Systems Monitoring Hardware Network 74

Dynatrace

JULY 25, 2019

In this three-part blog series, we’ll share the following three common problem scenarios that you can easily solve by building an automated self-healing system with Dynatrace and xMatters Flow Designer: Process crash. Use case #1: Prevent a process crash from taking down services across an organization. Slow microservices.

Systems 170

Systems DevOps Design Google 170

The Netflix TechBlog

MAY 4, 2023

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

SEPTEMBER 22, 2021

While many large-scale environments use OpenShift Container Platform (OCP) as their Kubernetes distribution of choice, teams typically still lack intelligent observability and centralized alerting despite the monitoring system included with the platform. This results in performance issues or even downtime that could easily be prevented.

Availability 164

Availability Best Practices Infrastructure Monitoring 164

Dynatrace

MARCH 20, 2024

Deploying software in Kubernetes is often viewed as a straightforward process—just use kubectl or a GitOps solution like ArgoCD to deploy a YAML file, and you’re all set, right? Infrastructure health The underlying infrastructure’s health directly impacts application availability and performance.

Open Source 260

Open Source Hardware DevOps Infrastructure 260

Dynatrace

MARCH 27, 2024

The automated extraction of ownership information, for example, from Kubernetes annotations, is therefore essential. Secondly, knowing who is responsible is essential but not sufficient, especially if you want to automate your triage process. An example via Monaco can be found in this public GitHub repository.

Best Practices 193

Best Practices Azure Database Code 193

Dynatrace

MAY 2, 2024

Across the globe, privacy laws grant individuals data subject rights, such as the right to access and delete personal data processed about them. 2] — Nader Henein, VP Analyst, Gartner The Privacy Rights app is designed to streamline this process in Dynatrace.

Tuning 218

Tuning Scalability Efficiency Processing 218

Particular Software

MAY 8, 2023

However, in a message-based system, we no longer have a single call stack. The problem Because message-driven systems are asynchronous and run in multiple processes, debugging is naturally more complex than in a single-process application. Start order process| C[Order saga] C --> |3.

Systems 52

Systems C++ Azure Metrics 52

Dynatrace

JANUARY 31, 2024

Data observability involves monitoring and managing the internal state of data systems to gain insight into the data pipeline, understand how data evolves, and identify any issues that could compromise data integrity or reliability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 189

DevOps Analytics Airlines Metrics 189

Dynatrace

JUNE 1, 2023

But how do you get started, and what are some service level objective examples? In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider. These organizations rely heavily on performance, availability, and user satisfaction to drive sales and retain customers.

Latency 171

Latency Website Traffic Virtualization 171

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. Understanding future capacity requirements is crucial for maintaining system stability. What is predictive AI?

Artificial Intelligence 257

Artificial Intelligence DevOps Analytics Engineering 257

Official Blog - World Web Technology

NOVEMBER 21, 2023

It’s interesting to note that many of the CMS systems available today started as simple blogging platforms. When choosing a CMS system, there are a few things to remember. While some CMS systems can be expensive, many options are available. Top 5 Content Management Systems to Use in 2023!

Systems 59

Systems Ecommerce Development Website 59

The Netflix TechBlog

NOVEMBER 14, 2023

In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! We’ll discuss batch data processing, the limitations we faced, and how Psyberg emerged as a solution. Let’s dive in! What is late-arriving data? How does late-arriving data impact us?

Data Engineering 264

Data Engineering Engineering Processing Games 264

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Query Optimization.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Failure to provide timely and accurate answers erodes user trust, hinders adoption, and harms retention.

Cache 199

Cache Azure Infrastructure Monitoring 199

Dynatrace

FEBRUARY 21, 2024

Quality gates examples in Dynatrace Quality gates hold much promise for organizations looking to release better software faster. The following are specific examples that demonstrate quality gates in action: Security gates Security gates ensure code meets key security requirements defined by development and security stakeholders.

Speed 200

Speed Software Software Latency 200

Dynatrace

APRIL 15, 2024

For example, government agencies use an array of cloud platforms spanning 12 environments on average. Critical infrastructure and services refer to the systems, facilities, and assets vital for the functioning of society and the economy. Unified observability is the key to success in resource-constrained local government agencies.

Infrastructure 201

Infrastructure Efficiency Government Transportation 201

Testlodge

NOVEMBER 1, 2021

For example, it’s usual for software to have been designed with a specific use in mind, but the user doesn’t always understand the same way as the developers and testers. ” Destructive testing is a method that uses the system in a way other than intended to make the software program deliberately fail. Automated Tools.

Systems 81

Systems Testing Software Software 81

Particular Software

JANUARY 18, 2022

(@YTSunnys) July 15, 2019 Distributed systems can “get frustrated” too. Failure on repeat Distributed software systems built with NServiceBus are pretty great about dealing with all kinds of failure. Failure on repeat Distributed software systems built with NServiceBus are pretty great about dealing with all kinds of failure.

Systems 52

Systems Games Cloud Processing 52

Dynatrace

MARCH 18, 2024

For example, Amazon Web Services (AWS) charges for data transfer between Amazon EC2 instances within the same region. Flexible pricing models that offer discounts based on commitment or availability can greatly reduce cloud waste. This includes spot instances such as unused cloud capacity that’s available at a discounted price.

Best Practices 225

Best Practices Strategy Cloud AWS 225

Testsigma

JUNE 3, 2021

Example: An e-commerce website is unable to process the payment part. On-screen information for users: The information which is required by the user should be available on the application screen itself. He may think that the software got stuck and a system restart is needed. Wrong redirection. Error handling.

Software 82

Software Software Testing Hardware 82

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. All rely heavily on utilizing allocated portions from existing pools made available through specific providers as part of their service offerings.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

FEBRUARY 1, 2024

The complex interconnections in cloud-based systems make it crucial to always have a topological overview to understand dependencies. For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience. Host technologies in use with status information and links to processes.

Infrastructure 175

Infrastructure Metrics Network Monitoring 175