Dynatrace

JULY 29, 2022

Software supply chain attacks emerge in full force. But today, software supply chain attacks are a key factor in the global movement of goods. Additionally, a global study of 1,000 CIOs indicated that 82% say their organizations are vulnerable to cyberattacks targeting software supply chains. Dynatrace news.

Software 198

Software Software Open Source DevOps 198

Dynatrace

MAY 17, 2023

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. This is one example of the many use cases we’re exploring.

Innovation 270

Innovation Software Software Artificial Intelligence 270

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 193

Systems Cloud Analytics DevOps 193

Testsigma

JUNE 3, 2021

The software will never be bug-free. Bugs could come up due to different reasons, in this article, we will discuss them from the perspective of software errors. We can divide the errors during software development into two sections for easy understanding: Software errors Testing errors. Software errors.

Software 82

Software Software Testing Hardware 82

Dynatrace

SEPTEMBER 3, 2020

This already indicates that a few weeks if not months easily pass until one has honed the system far enough to completely trust it with production monitoring of business-critical applications. The second major concern I want to discuss is around the data processing chain. The four stages of data processing.

Software 265

Software Software Artificial Intelligence Metrics 265

Testlodge

MARCH 12, 2024

System testing involves analyzing the behavior and functionality of a fully integrated application. To help us to understand, let’s use an example. While being integrated with the system, each component is analyzed individually. Types of System Testing This kind of testing can be both functional and non-functional.

Systems 90

Systems Testing Open Source Hardware 90

Dynatrace

AUGUST 16, 2021

Many software delivery teams share the same pain points as they’re asked to support cloud adoption and modernization initiatives. These include spending too much time on manual processes, finger-pointing due to siloed teams, and poor customer experience because of unplanned work. Example #1 – Deploy application code to Kubernetes.

Software 246

Software Software Open Source Azure 246

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 199

DevOps Engineering Artificial Intelligence Infrastructure 199

Dynatrace

SEPTEMBER 29, 2021

In part one of this series , I talked through the common pain points software delivery teams face as they’re asked to support cloud adoption and modernization initiatives. Example #3 – Automate Monitoring configuration as code. Monitoring as Code workflow example. In this example, “deploy” the configuration.

Software 210

Software Software Open Source DevOps 210

Dynatrace

DECEMBER 16, 2020

Recently, some organizations fell victim to a software supply chain attack, which led to loss of confidential data. This article explains what a software supply chain attack is, and how Dynatrace protects its customers against such attacks by applying: Risk management and business continuity planning. It all starts with the code.

Software 243

Software Software Development AWS 243

DZone

MAY 15, 2023

In today's fast-paced software development landscape, microservices have emerged as a popular architectural pattern. This architectural style enables teams to develop and deploy services independently, offering flexibility and scalability to the software development process. But what exactly are microservices?

Best Practices 300

Best Practices Architecture Scalability Software 300

Dynatrace

JANUARY 29, 2024

Closed-loop remediation is an IT operations process that detects issues or incidents, takes corrective actions, and verifies that the remediation action was successful. How closed-loop remediation works Closed-loop remediation uses a multi-step process that goes beyond simple problem remediation.

Best Practices 201

Best Practices DevOps Energy Innovation 201

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? Unfortunately, Kubernetes deployments can be fraught with challenges beyond the surface level.

Open Source 277

Open Source Hardware DevOps Infrastructure 277

The Morning Paper

FEBRUARY 16, 2020

Migrating a privacy-safe information extraction system to a software 2.0 This is a comparatively short (7 pages) but very interesting paper detailing the migration of a software system to a ‘Software 2.0’ A really interesting thing happens when you go from developing a Software 1.0 (i.e.,

Systems 84

Systems Design Software Software 84

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 257

AWS Efficiency Azure Cloud 257

The Netflix TechBlog

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The talk uses Apache Spark as an example, but the concepts generalize regardless of your specific tools. Learn more about how batch and streaming data pipelines are built at Netflix.

Data Engineering 259

Data Engineering Engineering Software Engineering Best Practices 259

Dynatrace

MARCH 27, 2024

In any case, three building blocks are required to connect the right information to software artifacts. However, as software changes continuously due to new deployments and releases, so can responsibilities. The automated extraction of ownership information, for example, from Kubernetes annotations, is therefore essential.

Best Practices 208

Best Practices Azure Database Code 208

Dynatrace

MARCH 28, 2024

According to Markets and Markets, for example, the digital transformation market is projected to grow at a compound annual growth rate of 19.1%, from $521.5 According to IDC, AI technology will be inserted into the processes and products of at least 90% of new enterprise apps by 2025. billion in 2021 to $127.5 billion in 2026.

C++ 194

C++ Artificial Intelligence DevOps Innovation 194

Dynatrace

AUGUST 27, 2019

In Part 1 we explored how DevOps teams can prevent a process crash from taking down services across an organization in five easy steps. The Dynatrace all-in-one software intelligence platform gives your team real-time visibility into your underlying infrastructure —be it on bare metal, VMware, OpenStack, AWS, Azure, or a hybrid solution.

Systems 177

Systems DevOps Latency Azure 177

Dynatrace

JANUARY 22, 2024

That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. Understanding complex systems Causal AI holds great importance for achieving full-stack observability in complex systems. Software development. Causal AI use cases can complement other types of AI.

Artificial Intelligence 217

Artificial Intelligence Healthcare Retail Government 217

Testlodge

NOVEMBER 1, 2021

A central goal of software testing is to find issues, especially critical ones, before they cause a problem in production. 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. Tools for Testing.

Systems 81

Systems Testing Software Software 81

Official Blog - World Web Technology

JULY 7, 2023

Businesses increasingly rely on ecommerce software solutions to automate their processes and boost productivity as demand for online shopping keeps rising. Online sales, inventory, customer connections, and other business operations can all be managed by firms using various tools and platforms that make up ecommerce software solutions.

Ecommerce 52

Ecommerce Software Software Analytics 52

Dynatrace

DECEMBER 21, 2023

You might optimize your cooling system or move your data center to a colder region with reduced cooling demands. And while these examples were resolved by just asking a few questions, in many cases, the answers are more elusive, requiring real-time and historical drill-downs into the processes and dependencies specific to each host.

Cloud 218

Cloud Energy Best Practices Cache 218

Dynatrace

NOVEMBER 6, 2023

Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. Observability is about answering.”

Development 271

Development DevOps Programming Cloud 271

Dynatrace

MAY 2, 2024

With the ability to generate new content—such as images, text, audio, and other data—based on patterns and examples taken from existing data, organizations are rushing to capitalize on the AI model. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

Artificial Intelligence 239

Artificial Intelligence Cloud Best Practices DevOps 239

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. This is particularly important for complex APIs that have many high cardinality inputs.

Traffic 339

Traffic Latency Tuning Systems 339

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

Dynatrace

DECEMBER 13, 2023

For example, DevOps teams will combine generative AI with fact-based causal and predictive AI to supercharge digital innovation by predicting and preventing issues before they occur and generating new workflows to automate the software delivery lifecycle. 2: AI-generated code will create the need for digital immune systems.

Technology 212

Technology Technology Artificial Intelligence Analytics 212

Dynatrace

FEBRUARY 1, 2024

The complex interconnections in cloud-based systems make it crucial to always have a topological overview to understand dependencies. Any problem, such as a simple software update overburdening a critical database, can cause a ripple effect that degrades the performance of dependent services or applications.

Infrastructure 190

Infrastructure Metrics Network Monitoring 190

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. A message queue enables the smooth flow of information to make complex systems work. What is a message queue?

Monitoring 209

Monitoring Serverless Programming Speed 209

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. A message queue enables the smooth flow of information to make complex systems work. What is a message queue?

Monitoring 208

Monitoring Serverless Programming Speed 208

Dynatrace

MAY 19, 2022

Every organization’s goal is to keep its systems available and resilient to support business demands. However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. Example 1: Architecture boundaries. They knew a different team supported each step in the process.

Automotive 278

Automotive Latency Architecture Azure 278

DZone

APRIL 11, 2021

Automated testing is a process of transforming a human-driven test system into machine execution. For example, they all drive screens, keyboards, mice, etc., Automated testing supports limited software environments. For example, Selenium can only support Web applications, while RPA supports multiple software environments.

Testing 162

Testing Virtualization Programming Processing 162

The Morning Paper

OCTOBER 11, 2020

Orbital edge computing: nanosatellite constellations as a new class of computer system , Denby & Lucia, ASPLOS’20. Only space system architects don’t call it request-response, they call it a ‘ bent-pipe architecture.’. The old ground-initiated command-and-control style systems aren’t going to work for these finer-grained systems.

Systems 125

Systems Latency Architecture Energy 125

All Things Distributed

MARCH 12, 2018

A great example of this is the way we are using ML to deal with one of the world's biggest and most tangled datasets: human speech. The challenge was that technology wasn't capable of processing real human conversation. All of these benefits make voice a game changer for interacting with all kinds of digital systems.

Systems 110

Systems AWS Games Transportation 110

Dynatrace

NOVEMBER 14, 2023

For example, how much does a reduction in MTTR impact revenue? These small wins, such as implementing a blameless root cause analysis process, can take many forms and don’t necessarily involve numerical metrics. For example, generative AI has the potential to provide more intuitive methods of querying data.

Best Practices 201

Best Practices Engineering DevOps Software Engineering 201

Dynatrace

SEPTEMBER 28, 2021

Now, with the hard work done, you can sit back, relax, and witness the collaboration between your Dev and Ops teams as they deliver better quality software faster. Your next challenge is ensuring your DevOps processes, pipelines, and tooling meet the intended goal. If only it were that easy. Change failure rate.

DevOps 209

DevOps Metrics Traffic Efficiency 209