Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Data volume explosion in multicloud environments poses log issues.

Analytics 226

Analytics Storage Infrastructure Metrics 226

Dynatrace

FEBRUARY 28, 2024

Department of Veterans Affairs (VA) is packaging application code along with its libraries and dependencies within an executable software unit. The containers can run anywhere, whether a private data center, the public cloud or a developer’s own computing devices. If the approver says, ‘do it,’ then it schedules the action.”

Monitoring 188

Monitoring Artificial Intelligence Performance Healthcare 188

Dynatrace

FEBRUARY 20, 2024

Today’s organizations are drowning in data. So, it’s no surprise that data volumes have grown beyond humans’ ability to manage. But the data deluge isn’t the only problem facing enterprises, as many struggle with tool sprawl. This, in turn, leads them to adopt a different tool for each use case.

Monitoring 155

Monitoring Education Technology Technology 155

DZone

JANUARY 25, 2024

This technology expands the features of existing software at runtime, facilitating tasks like packet filtering, high-performance analyses, and the implementation of firewalls and debugging protocols in both on-site data centers and cloud-native environments.

Monitoring 161

Monitoring Programming Operating System Efficiency 161

Dynatrace

APRIL 19, 2023

Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.

Design 197

Design Storage Programming Analytics 197

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Scalegrid

JANUARY 11, 2024

Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. This includes servers, applications, software platforms, and websites. What does it take to secure your cloud assets effectively? Get ready for actionable insights that balance technical depth with practical advice.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

SEPTEMBER 14, 2022

As an industry leader, Dynatrace promotes primarily using software and AI to deal with this complexity at scale instead of just putting data on dashboards. Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? They become bloated and harder to learn and use.

Metrics 234

Metrics Analytics Monitoring Efficiency 234

Dynatrace

DECEMBER 27, 2022

When organizations implement SLOs, they can improve software development processes and application performance. SLOs improve software quality. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time.

Software 269

Software Software Benchmarking Latency 269

Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. This blog post lists the important database metrics to monitor. Effective monitoring of key performance indicators plays a crucial role in maintaining this optimal speed of operation.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

JANUARY 11, 2023

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 227

Cloud Monitoring Best Practices Infrastructure 227

Dynatrace

NOVEMBER 2, 2022

Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines. Observability.

Software 201

Software Software Artificial Intelligence DevOps 201

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. At Dynatrace Perform 2023 , Maciej Pawlowski, senior director of product management for infrastructure monitoring at Dynatrace, and a senior software engineer at a U.K.-based

Analytics 192

Analytics Infrastructure Storage Efficiency 192

Dynatrace

NOVEMBER 3, 2021

This trend is prompting advances in both observability and monitoring. But exactly what are the differences between observability vs. monitoring? Monitoring and observability provide a two-pronged approach. To get a better understanding of observability vs monitoring, we’ll explore the differences between the two.

Monitoring 226

Monitoring Metrics DevOps Scalability 226

Dynatrace

OCTOBER 4, 2021

As a result, API monitoring has become a must for DevOps teams. So what is API monitoring? An application programming interface (API) is a set of definitions and protocols for building and integrating application software that enables your product to communicate with other products and services. What is API Monitoring?

Monitoring 182

Monitoring Latency Metrics Availability 182

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. This article cuts through the complexity to showcase the tangible benefits of DBMS, equipping you with the knowledge to make informed decisions about your data management strategies. What are the key advantages of DBMS?

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. This operational data could be gathered from live running infrastructures using software agents, hypervisors, or network logs, for example. Clean data and optimize quality.

Analytics 193

Analytics Artificial Intelligence Big Data Open Source 193

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 195

Software Software Open Source DevOps 195

Dynatrace

APRIL 26, 2022

Digital experience monitoring (DEM) allows an organization to optimize customer experiences by taking into account the context surrounding digital experience metrics. What is digital experience monitoring? DEM can give organizations business observability—insight into the effects of user experience on the bottom line.

Monitoring 209

Monitoring Social Media IoT Metrics 209

The Netflix TechBlog

MARCH 10, 2023

This platform has evolved from supporting studio applications to data science applications, machine-learning applications to discover the assets metadata, and build various data facts. Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case.

Media 237

Media Traffic Processing Design 237

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? Dynatrace news. billion in 2020 to $4.1

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

DECEMBER 9, 2020

APIs are everywhere these days—from internal APIs that are used within your microservice architecture, third-party APIs that your software relies on, to external APIs that you offer to your customers. As we’re seeing an ever-increasing interest in HTTP monitor usage, we’ve also received quite a bit of feedback from our customers.

Monitoring 245

Monitoring Mobile Availability Design 245

Dynatrace

JUNE 9, 2023

ln a world driven by macroeconomic uncertainty, businesses increasingly turn to data-driven decision-making to stay agile. They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. All of these factors challenge DevOps maturity.

DevOps 188

DevOps Analytics Storage Metrics 188

Dynatrace

FEBRUARY 21, 2024

To remain competitive in today’s fast-paced market, organizations must not only ensure that their digital infrastructure is functioning optimally but also that software deployments and updates are delivered rapidly and consistently. They help foster confidence and consistency throughout the entire software development lifecycle (SDLC).

Speed 212

Speed Software Software Latency 212

Dynatrace

JUNE 20, 2023

Modern IT organizations are generating more data from more tools and technologies than ever. Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. For this comprehensive monitoring in context, they had adopted Dynatrace.

Open Source 199

Open Source Google Serverless Azure 199

Dynatrace

JUNE 11, 2019

To explore this issue, we asked participants the following question: Which of your teams have access to production monitoring data? Three quick conclusions: 1) More than 80% of the respondents claim that their Development teams have access to production monitoring data. This is good news. The case against silos.

Innovation 195

Innovation Monitoring Metrics Strategy 195

Dynatrace

MAY 27, 2022

In April 2022, the Tech Transforms podcast explored application monitoring, women in tech, and federal news through our conversations with the following top influencers in government technology: Bill James – President of Federal Business LLC and FedSmarts LLC. Episode 29 – Monitor applications with empathy with Bill James.

Monitoring 206

Monitoring Government Analytics Education 206

Dynatrace

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. This contextualization of log data enables AI-powered problem detection and root cause analysis at scale. Dynamic landscape and data handling requirements result in manual work.

Storage 232

Storage Government Network Infrastructure 232

Dynatrace

NOVEMBER 22, 2021

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. AWS monitoring best practices. And why it matters.

Best Practices 216

Best Practices AWS Monitoring Serverless 216

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. What is a data lakehouse? How does a data lakehouse work?

Artificial Intelligence 214

Artificial Intelligence Storage Analytics Government 214

Dynatrace

AUGUST 16, 2022

The data locked in your log files can be a goldmine for your application developers, operations teams, and your enterprise as a whole. However, it can be complicated , expensive , or even impossible to set up robust observability that makes use of this data. Log format inconsistency makes it a challenge to access critical data.

Processing 193

Processing Metrics Monitoring Java 193

Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.

Infrastructure 182

Infrastructure Monitoring Artificial Intelligence Open Source 182

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. As our subscribers grow worldwide and Netflix enters the world of gaming , the number of batch workflows and real-time data pipelines increases rapidly.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

SEPTEMBER 3, 2020

Commonly, AIOps solutions’ typical characteristics are to ingest pre-aggregated data from various solutions across the IT management tooling landscape and conclude what is of relevance in order to focus the user’s attention to the relevant situations. The second major concern I want to discuss is around the data processing chain.

Software 264

Software Software Artificial Intelligence Metrics 264

Dynatrace

SEPTEMBER 15, 2023

In the 2023 Magic Quadrant for Application Performance Monitoring (APM) and Observability, Gartner has named Dynatrace a Leader and positioned it highest for Ability to Execute and furthest for Completeness of Vision. As a result, organizations lack the needed runtime context for prioritization. Want to learn more?

Monitoring 250

Monitoring Performance Analytics DevOps 250

Dynatrace

JANUARY 12, 2021

Observability is the new standard of visibility and monitoring for cloud-native architectures. It’s powered by vast amounts of collected telemetry data such as metrics, logs, events, and distributed traces to measure the health of application performance and behavior. Observability brings multicloud environments to heel.

Monitoring 197

Monitoring Artificial Intelligence DevOps Serverless 197