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
Leverage AI for proactive protection: AI and contextual analytics are game changers, automating the detection, prevention, and response to threats in real time. UMELT are kept cost-effectively in a massive parallel processing data lakehouse, enabling contextual analytics at petabyte scale, fast.
Vulnerabilities can enter the software development lifecycle (SDLC) at any stage and can have significant impact if left undetected. As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. What is security analytics? Why is security analytics important?
Software and data are a company’s competitive advantage. That’s because every company is now a software company. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. That’s exactly what a software intelligence platform does.
For more: Read the Report Artificial intelligence (AI) has revolutionized the realm of software testing, introducing new possibilities and efficiencies. To address these challenges, AI has emerged as a game-changing force, revolutionizing the field of automated software testing.
Real-time flight data monitoring setup using ADS-B (using OpenTelemetry) and Dynatrace The hardware We’ll delve into collecting ADS-B data with a Raspberry Pi, equipped with a software-defined radio receiver ( SDR ) acting as our IoT device, which is a RTL2832/R820T2 based dongle , running an ADS-B decoder software ( dump1090 ).
By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.
The Dynatrace platform automatically captures and maps metrics, logs, traces, events, user experience data, and security signals into a single datastore, performing contextual analytics through a “power of three AI”—combining causal, predictive, and generative AI. The result?
In today’s digital world, software is everywhere. Software is behind most of our human and business interactions. This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. What is software automation? What is softwareanalytics?
Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. With the help of log monitoring software, teams can collect information and trigger alerts if something happens that affects system performance and health.
This leads to frustrating bottlenecks for developers attempting to build and deliver software. A central element of platform engineering teams is a robust Internal Developer Platform (IDP), which encompasses a set of tools, services, and infrastructure that enables developers to build, test, and deploy software applications.
What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.
What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.
The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. Dynatrace extends its unique topology-based analytics and AIOps approach. For more information visit our web page.
New technologies like Xamarin or React Native are accelerating the speed at which organizations release new features and unlock market reach. How do I connect the dots between mobile analytics and performance monitoring? Connect the dots between mobile analytics and performance monitoring with mobile business analytics.
Mobile analytics can help organizations optimize their mobile application performance, earning customer accolades and increasing revenue in the process. Learn how one Dynatrace customer leveraged mobile analytics to ensure a crash-free, five-star mobile application. Add instrumentation and validate incoming mobile analytics data.
Our latest enhancements to the Dynatrace Dashboards and Notebooks apps make learning DQL optional in your day-to-day work, speeding up your troubleshooting and optimization tasks. This approach acknowledges that in any organization, software works in isolation; boundaries and responsibilities are often blurred.
Mobile app monitoring and mobile analytics make this possible. By providing insight into how apps are operating and why they crash, mobile analytics lets you know what’s happening with your apps and what steps you can take to solve potential problems. What is mobile analytics? Why use mobile analytics and app monitoring?
As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Logs on Grail Log data is foundational for any IT analytics.
ChatGPT and generative AI: A new world of innovation Software development and delivery are key areas where GPT technology such as ChatGPT shows potential. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries.
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.
In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.
One of the primary drivers behind digital transformation initiatives is the desire to streamline application development and delivery to bring higher quality, more secure software to market faster. Dynatrace enables software intelligence as code. Dynatrace news. Otherwise, contact our Services team.
These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. How does a data lakehouse—the combination of a data warehouse and a data lake—together with software intelligence, bring data insights to life?
The scale and speed of the program triggered challenges for these banks that they had never before imagined. Speed up loan processing to deliver critically needed relief to small businesses? Full speed ahead. Need better insights into the software that runs your business? Adapting to change. Jumpstart your transformation.
Across both his day one and day two mainstage presentations, Steve Tack, SVP of Product Management, described some of the investments we’re making to continue to differentiate the Dynatrace Software Intelligence Platform. So, full-stack observability and AI-powered answers are required to drive the precise answers organizations need.
These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. With the insights they gained, the team expanded into developing workflow automations using log management and analytics powered by the Grail data lakehouse. This resulted in significant savings and much faster ROI.
As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. That can be difficult when the business climate can prioritize speed. According to GitLab’s 2021 Global DevSecOps Survey , 36% of respondents develop software using DevSecOps, compared with only 27% in 2020.
A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. What is a data lakehouse?
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. Learn more in this blog. Read now and learn more!
Vulnerability management Vulnerability management is the process of identifying, prioritizing, rectifying, and reporting software vulnerabilities. By incorporating automated vulnerability scans within the software development lifecycle (SDLC), developers can expedite the release of innovative software features.
Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. This enables banks to manage risk with the speed and precision mandated by their markets. This enables banks to manage risk with the speed and precision mandated by their markets. Risk in banking is broad and interconnected.
According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Platform engineering is on the rise. Automation, automation, automation. Ensure that you get the most out of your product.
For example, nearly two-thirds (61%) of technology leaders say they will increase investment in AI over the next 12 months to speedsoftware development. Nontechnical workers can make informed, data-driven decisions with easier access to analytics through natural language queries and virtual assistants.
All of the popular speed testing tools typically provide a page speed score along with their objective results. Google PageSpeed Insights has a their “Speed Score.” While these do have a purpose, most people use them incorrectly, in a way that can be dangerous to your real site speed. seconds to.27 27 seconds!
Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. Log management and analytics have become a particular challenge. A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse.
Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Rural lifestyle retail giant Tractor Supply Co. ” Three years ago, Tractor Supply Co.
Just like all other regions of the world, Dynatrace customers in Latin American (LATAM) are confronting new challenges as the global pandemic of COVID-19 forces companies to adapt to application and software demands. SERVICE PROVIDER.
This empowers application teams to gain fast and relevant insights effortlessly, as Dynatrace provides logs in context, with all essential details and unique insights at speed. Collaborating with your peers based on your software development lifecycle and all data in context has never been easier.
With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting. Full-stack observability helps DevOps teams quickly identify potential issues in the CI/CD pipeline , fixing problems with greater speed and confidence. Improve business decisions with precision analytics.
Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.”
Serverless functions extend applications to accelerate speed of innovation. The Dynatrace Software Intelligence Platform, with its new AWS Lambda Extension API, gives you an easy way to gain automatic insights into your Lambda functions. Dynatrace provides in-context service-level insights into AWS Lambda functions automatically.
However, such heterogeneity of interconnected software services can lead to visibility gaps in end-to-end traces, which create blind spots and make it difficult for organizations to keep their software services running and their customers happy. Deep-code execution details. Always-on profiling in transaction context.
Application vulnerabilities remain a key concern Application vulnerabilities—weaknesses or flaws in software applications that malicious attackers can use to exploit IT systems—exist in any type of software, including web and mobile applications. Together they equal better software. Shift-right ensures reliability in production.
The number of containers pushed from development into production continues to increase—as does the speed of container deployment. Organizations need to consider which teams are in charge of securing software assets. Software Bills of Materials commonly include numerous third-party software libraries and assets.
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