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As cloud complexity increases and security concerns mount, organizations need log analytics to discover and investigate issues and gain critical business intelligence. But exploring the breadth of log analytics scenarios with most log vendors often results in unexpectedly high monthly log bills and aggressive year-over-year costs.
As a strategic ISV partner, Dynatrace and Azure are continuously and collaboratively innovating, focusing on a strong build-with motion dedicated to bringing innovative solutions to market to deliver better customer value. Read on to learn more about how Dynatrace and Microsoft leverage AI to transform modern cloud strategies.
These innovations promise to streamline operations, boost efficiency, and offer deeper insights for enterprises using AWS services. By automating OneAgent deployment at the image creation stage, organizations can immediately equip every EC2 instance with real-time monitoring and AI-powered analytics.
It also breaks down silos across the technology stack, allowing for rapid, scalable analysis and automation to prevent issues before they impact users. Dynatrace offers real-time threat detection, automated vulnerability analytics, Kubernetes Security Posture Management, runtime application protection, and seamless DevSecOps integration.
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? Ready to see how Dynatrace makes the impossible possible?
Dynatrace partners are a cornerstone of our success, driving innovation and enabling customer growth. Were thrilled to announce the winners of this competition, who demonstrated exceptional innovation and creativity in their solutions.
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We’re excited to announce several log management innovations, including native support for Syslog messages, seamless integration with AWS Firehose, an agentless approach using Kubernetes Platform Monitoring solution with Fluent Bit, a new out-of-the-box ingest dashboard, and OpenPipeline ingest improvements.
But rigorous requirements for security, production readiness, scalability, and reliability can make adopting OpenTelemetry challenging for teams to maintain at enterprise scale. Our unwavering commitment to open source initiatives underscores our mission to foster transparency, collaboration, and innovation.
The Dynatrace platform now enables comprehensive data exploration and interactive analytics across data sets (trace, logs, events, and metrics)empowering you to solve complex use cases, handle any observability scenario, and gain unprecedented visibility into your systems. Get ready to experience a whole new world of limitless tracing power.
Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Current analytics tools are fragmented and lack context for meaningful analysis. Effective analytics with the Dynatrace Query Language.
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This gives us unified analytics views of node resources together with pod-level metrics such as container CPU throttling by node, which makes problem correlation much easier to analyze. Cloud Native Full Stack injection provides a rock-solid foundation for us to plan the next set of Dynatrace innovations. A look to the future.
Software should forward innovation and drive better business outcomes. Conversely, an open platform can promote interoperability and innovation. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia. AI-powered precise answers and timely insights with ad-hoc analytics.
A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. Security Analytics and automation deal with unknown-unknowns With Security Analytics, analysts can explore the unknown-unknowns, facilitating queries manually in an ad hoc way, or continuously using automation.
Today’s organizations flock to multicloud environments for myriad reasons, including increased scalability, agility, and performance. With unified observability and security, organizations can protect their data and avoid tool sprawl with a single platform that delivers AI-driven analytics and intelligent automation.
I also have the privilege of being “customer zero” for our platform, which enables me to continually discover where Dynatrace can deliver on more use cases to drive my team’s productivity and innovation. Unlike anything before, contextual analytics in Dynatrace provides answers to any question at any time, instantaneously.
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The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. Technical scalability without limits.
A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. To stay ahead of the curve, organizations should focus on strategic, proactive innovation and optimization. Free IT teams to focus on and support product innovation.
This freedom allows teams and individuals to move fast to deliver on innovation and feel responsible for quality and robustness of their delivery. As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant.
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This massive migration is critical to organizations’ digital transformation , placing cloud technology front and center and elevating the need for greater visibility, efficiency, and scalability delivered by a unified observability and security platform. The speed of change is only going to accelerate, thus requiring more innovation.
An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams. These organizational improvements open the door to further innovation and digital transformation. Making observability actionable and scalable for IT teams.
With increased scalability, agility, and flexibility, cloud computing enables organizations to improve supply chains, deliver higher customer satisfaction, and more. You have to get automation and analytical capabilities.” Throw in behavioral analytics, metadata, and real-user data. … The benefits of the cloud are undeniable.
Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. The latest Amazon Lambda innovation, Lambda SnapStart, has day one support from Dynatrace. Simplify error analytics.
As end-to-end observability has become critical, we believe this placement reflects our commitment to delivering innovation that helps our customers solve their most complex business challenges with AI-powered observability, analytics, and automation.
Innovating with software is happening faster than ever. Agencies cannot afford to sacrifice security for innovation. This gives public sector teams the best of both worlds: peak-performance applications without vulnerabilities, made possible by a highly scalable application security solution.
Currently, there is a tough balance to achieve: Organizations need to innovate rapidly at scale, yet security remains paramount. Our guide covers AI for effective DevSecOps, converging observability and security, and cybersecurity analytics for threat detection and response. Read now and learn more!
The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. So, what is artificial intelligence? What is predictive AI? What is AIOps?
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Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications. Dynatrace The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability.
We hear from our customers how important it is to have a centralized, quick, and powerful access point to analyze these logs; hence we’re making it easier to ingest AWS S3 logs and leverage Dynatrace Log Management and Analytics powered by Grail.
Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.
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Werner Vogels weblog on building scalable and robust distributed systems. Customer Conversations - How Intuit and Edmodo Innovate using Amazon RDS. From tax preparation to safe social networks, Amazon RDS brings new and innovative applications to the cloud. Whats unique and innovative about your service? Comments ().
That’s why we have Dynatrace extended (not shifted) to the left to address both needs: developers have easy and safe access to staging and production deployments while central SRE and DevOps teams have the scalable and automatic observability they need to remain compliant, consistent, and resilient. See the overview on the homepage.
The company receives tens of thousands of requests per second on its edge layer and sees hundreds of millions of events per hour on its analytics layer. This created problems with both visibility and scalability. “Our development teams relied heavily on logs to understand what was going on with our systems,” he said. .
Not only are these approaches difficult and costly to maintain, they also lack proper security and scalability. AppEngine empowers organizations to tame cloud complexity, innovate faster and more securely, and ensure consistently better business results, thus delivering answers and driving collaboration across teams.
Actionable analytics across the?entire Serverless can accelerate innovation (and introduce blind spots). Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. Actionable analytics across the?entire AI-powered answers, provided by?Dynatrace
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