This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
This is explained in detail in our blog post, Unlock log analytics: Seamless insights without writing queries. This architecture also means you are not required to determine your log data use cases beforehand or while analyzing logs within the new logs app.
Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.
A critical security threat for cloud-native architectures SSRF is a web security vulnerability that allows an attacker to make a server-side application send requests to unintended locations. As more organizations adopt cloud-native architectures, the risk of SSRF grows.
The growing complexity of modern multicloud environments has created a pressing need to converge observability and security analytics. Security analytics is a discipline within IT security that focuses on proactive threat prevention using data analysis. Security Investigator demo St. I can keep track of where I went. Clair said.
As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?
App architecture. First, let’s explore the architecture of these apps: BizOpsConfigurator. Now we have performance and errors all covered: Business Analytics. Digital Business Analytics can help answer those questions. Contact your Dynatrace Sales Engineer for a demo or POC of DEM and Business Analytics.
Our guide covers AI for effective DevSecOps, converging observability and security, and cybersecurity analytics for threat detection and response. A unified observability and security analytics strategy can guide organizations toward a more proactive security posture at scale. Discover more insights from the 2024 CISO Report.
Only Dynatrace provides a comprehensive and accessible log management and analytics experience, helping teams resolve issues faster without compromising on depth. This architecture also means you’re not required to determine your log data use cases beforehand or while analyzing logs within the new Logs app.
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Simplify error analytics. Understand and optimize your architecture. Dynatrace news.
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Simplify error analytics. Understand and optimize your architecture. Dynatrace news.
Between multicloud environments, container-based architecture, and on-premises infrastructure running everything from the latest open-source technologies to legacy software, achieving situational awareness of your IT environment is getting harder to achieve. The challenge? Integrate monitoring on a single AIOps platform. Watch webinar!
Compare releases and look out for architectural regressions by having transactional level version awareness. Ensure your SLOs are met while rolling out a Canary. Detect problematic Canary deployments quickly and trigger automated remediation. The automatic monitoring of canary specific SLOs in Dynatrace. Step 3: SLOs.
Learn more about securing modern applications and infrastructure and how to integrate security analytics into your DevSecOps initiative with the following resources. To learn more about leveraging observability and cybersecurity analytics to protect your organization from cyber threats, check out the following resources.
Behind the single touch point the user is interacting with, there can be a microservices architecture running on an multicloud environment. Between layers of services on multicloud platforms, Kubernetes architecture, and open-source technologies, the number of things that can—and do—go wrong with a user experience has exploded.
Organizations are depending more and more on distributed architectures to provide application services. Conventional database performance analysis is simple, though, compared with diagnosing microservice architectures with multiple components and an array of dependencies. Dynatrace news.
Cluster and container Log Analytics. Instead of presenting you with a handful of random screenshots from our demo environment I reached out to Robert, a close friend of mine, who leads a development team with the current task to re-architect and re-platform their multi-tenant SaaS-based eCommerce platform. 3 Log Analytics.
It identifies the biggest security problems and avoids your team chasing false positives by combining two unique technologies: PurePath distributed tracing and Smartscape , the automatically generated real-time topology map of all components of your containerized microservice architecture, including their interdependencies.
Application architecture to gain insights into how application architecture changes impact performance and user experience. Point solutions only provide a limited view of a company’s application architecture. User experience and business analytics. See the demo Monitoring mainframe, cloud, and mobile apps.
Whether it’s a result of different teams or lines of business within the same company on separate instances, or even a merger or acquisition, you see different flavors of the multi-Jira architecture: Split across Jira server and Jira Cloud. Request a demo if you know what specifics you’d like to see in a live demonstration!
ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. Vendors ScaleGrid provides the flexibility to select a suitable database architecture, minimizing worries of vendor lock-in.
Gone are the days of monolithic architecture. When we think of a system’s architecture, the first thing that may pop into your mind is the traditional client-server system, where a server was the shared resource among many different devices and machines, like printers, computes, clients, etc. Multi-Tier.
SUS302 Optimizing architectures for sustainability — Katja Philipp AWS SA and Szymon Kochanski AWS SA. It includes a demo of AWS Twinmaker and a discussion of lithium battery production and recycling by Northvolt in Sweden, who are using serverless on AWS to build factories-as-code. SUS209 — there was no talk with this code.
A Demo Application Shows How Companies Can Track COVID-19 Contacts Within Companies. In this post, we’ll take a closer look at its implementation in a demo application created by ScaleOut Software. The demo application creates a memory-based real-time digital twin for each employee. C# was used for the demo application.)
A Demo Application Shows How Companies Can Track COVID-19 Contacts Within Companies. In this post, we’ll take a closer look at its implementation in a demo application created by ScaleOut Software. The demo application creates a memory-based real-time digital twin for each employee. C# was used for the demo application.)
Bottlenecks from internal processes and a dated software architecture severely affected morale. Today marks the release of a whole new set of analytics for technology leaders that we are releasing for Tasktop Viz called VSM Portfolio Insights. The VSM Porfolio Insights in Tasktop Viz are a new set of analytics for technology leaders.
An Agile organization’s biggest architectural blindspot? Clever Value Stream Architecture designs for speed, visibility and traceability and it relies on APIs and abstraction. Its toolchain. A well-architected pipeline also takes into account that the frequency of tool turnover is only going to increase. Learn more.
Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Unfortunately, other than cost advantage Wordpress and Drupal have similar deficiencies i.e. legacy monolith architecture.
Exploratory analytics with collaborative analytics capabilities can be a lifeline for CloudOps, ITOps, site reliability engineering, and other teams struggling to access, analyze, and conquer the never-ending deluge of big data. These analytics can help teams understand the stories hidden within the data and share valuable insights.
This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.
Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Yet often, analytics alone doesn’t provide a complete picture.
To get accurate results and goals though, first study your analytics to see what your users are on. Of course, your data might show that your customers are not on these devices, but perhaps they simply don’t show up in your analytics because your service is inaccessible to them due to slow performance.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content