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
The industry has always innovated, and over the last decade, it started moving towards cloud-based workflows. However, unlocking cloud innovation and all its benefits on a global scale has proven to be difficult. Different countries worldwide are at different phases of innovation based on local needs and nuances.
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.
Winning the loyalty of these increasingly fickle customers requires the right investments—in personalization, customer service, developing innovative products, and bringing them to market faster. To achieve this, creating efficiencies will be key, and technological efficiencies are especially important.
AI and DevOps, of course The C suite is also betting on certain technology trends to drive the next chapter of digital transformation: artificial intelligence and DevOps. Today, with greater focus on DevOps and developer observability, engineers spend 70%-75% of their time writing code and increasing product innovation.
Of course, we believe in the transformative potential of NN throughout video applications, beyond video downscaling. While conventional video codecs remain prevalent, NN-based video encoding tools are flourishing and closing the performance gap in terms of compression efficiency. How do we apply neural networks at scale efficiently?
Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient. This improves the current project and paves the way for future innovation. Streamlining the CI/CD process to ensure optimal efficiency.
The implications of software performance issues and outages have a significantly broader impact than in the past—with the potential to negatively impact revenue, customer experiences, patient outcomes, and, of course, brand reputation. Ideally, resiliency plans would lead to complete prevention.
Increase operational efficiency : Hyperscale reduces the layers of control, making it easier to manage modern computer operations. Organizations, and teams within them, need to stay the course, leveraging multicloud platforms to meet the demand of users proactively and proficiently, as well as drive business growth.
Some benefits of Dynatrace, like faster DevOps innovation and gained operational efficiency, were quite consistent. Our partners, like yourself, rely on us to innovate and deliver the best platform in the market, and you’ll know the benefits of using Dynatrace far surpass just quantifiable ones. Would the magnitude change?
Over the course of the four years it became clear that I enjoyed combining analytical skills with solving real world problems, so a PhD in Statistics was a natural next step. They are continuously innovating compression algorithms to efficiently send high quality audio and video files to our customers over the internet.
Of course, the most important aspect of activating Dynatrace on Kubernetes is the incalculable level of value the platform unlocks. Of course, everything is deployed using standard kubectl commands. This solution offers both maximum efficiency and adherence for the toughest privacy or compliance demands. A look to the future.
Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. According to Dynatrace research, 89% of CIOs said digital transformation accelerated over the course of 2020 , and 58% predicted it will continue to speed up.
Reminiscing back to five years ago in Linz, when a dinner changed the course of our company and our developers decided to reinvent our platform from the ground up, John continued to tell our digital roadmap for 2020 and beyond. Think of Dynatrace as a platform – make your entire ecosystem smarter and more efficient.
Shifting from monolith to microservices makes it easier to test, develop, and release innovative features more rapidly. C-level executives “must race to reinvent their organizations for the fast-paced, multiplied innovation world,” says Frank Gens, senior vice president and chief analyst at IDC. Teams want efficiency.
In our Big Shift world, we confront the imperative of institutional innovation – shifting from institutional models built on scalable efficiency to institutional models built on scalable learning. I’ve written and spoken about this a lot over the years and one of the most common pushbacks I get is – “so, are you against efficiency?”
The end goal, of course, is to optimize the availability of organizations’ software. Dynatrace AI increases efficiency by magnitudes and prevents alert storms. With Dynatrace, executives can now benefit from predicting and preventing issues before customers are impacted and reducing the need to react.
Teams can address testing and deployment issues automatically, which streamlines continuous integration and continuous delivery pipelines and increases innovation throughput. Of course, this information must be available to the AI and, therefore, part of the entity. SecOps: Applying AIOps to secure applications in real time.
Our good intentions promise that we’ll revisit the shortcomings later—but of course “later” rarely arrives. At some point the debt reaches a tipping point where the high costs of maintenance prevent innovation. We’ll also present the case that efficiency alone isn’t the best approach to judging value.
The Great Place to Work® certification reflects our continuous commitment to improvement and innovation. The aim is to make everyone experience and feel our Dynatrace culture, from the onboarding experience and global hybrid events and meetings to Slack communities and remote courses. We value honesty, transparency, and accountability.
Both development and security teams require information that spans the software development lifecycle to work efficiently on closing gaps and blindspots in security coverage that could lead to a container reaching production unscanned, or with production vulnerabilities in the form of increased cyber-attack risk.
A full-featured deterministic AIOps solution should lead to faster, higher-quality innovation, increased IT staff efficiency, and vastly improved business outcomes. When all these areas are as automated as possible, developers and operations teams can focus on innovation rather than performing endless administrative tasks.
Increasingly, organizations see IT modernization as their on-ramp to product innovation and cost reduction. It also institutionalizes software development best practices throughout the product lifecycle to ensure development takes place efficiently while also yielding higher-quality, secure code. Dynatrace news.
As digital transformation accelerates, organizations turn to hybrid and multicloud architectures to innovate, grow, and reduce costs. Cloud environments require ongoing risk mitigation As enterprises continue to operate and innovate in the cloud, risk mitigation becomes critical to prevent losses like those associated with Log4Shell.
million per year just “keeping the lights on,” with 63% of CIOs surveyed across five continents calling out complexity as their biggest barrier to controlling costs and improving efficiency. Of course, it’s one thing to recognize business IT blind spots; it’s another to effectively address these issues at scale.
Focusing on what matters most–while de-prioritizing less-impactful background issues– enhances agility and frees IT resources for optimization and innovation projects, providing multiple business analytics benefits to an organization. Of course, customer experience goes beyond just online transactions.
Our experimentation and causal inference focused data scientists help shape business decisions, product innovations, and engineering improvements across our service. Roxy Du (Product Innovation) [Roxy D.] I partner with product managers to run AB experiments that drive product innovation.
Like any rational person, I set out on a course to pursue a career that would either put me in space or help to put others up there. This is also the key period when most of my data science growth occurred, as I was developing my healthcare analytics research program and teaching analytics courses to MS and undergraduate students.
Each cloud-native evolution is about using the hardware more efficiently. We would still be building higher and higher on top of VMs because that's where platform innovation would have stopped evolving. We have several players like Cloudflare innovating to become alternative lower-cost cloud providers. So why bother innovating?
This makes it possible for SVT-AV1 to decrease encoding time while still maintaining compression efficiency. Since that time, Intel’s and Netflix’s teams closely collaborated on SVT-AV1 development, discussing architectural decisions, implementing new tools, and improving the compression efficiency. Open-source video coding needs you!
Of course, that could mean there are too many slackers in research jobs, or that we have more eggheads than our economies can afford. But even Amazon is showing signs of innovation fatigue. Blockchain could eliminate redundancies across companies, reduce fees for simple transfers, and usher in all kinds of innovation.
Companies can use technology roadmaps to review their internal IT , DevOps, infrastructure, architecture, software, internal system, and hardware procurement policies and procedures with innovation and efficiency in mind. Creating A Technology Roadmap To Drive Successful Innovation. Evaluate Current Systems And Chart A Course.
We are also enabling some of the Nordics' most successful startups and gaming companies, such as: Bambora, Evolution Gaming, Hemnet, iZettle, KRY, LEO Innovation Lab, Lingit, Lunar Way, Mapillary, Mathem, Mojang, Paradox Interactive, Quinyx, Rovio, Supercell, Tidal, Trustpilot, Tink, and Vivino. Public sector.
Often we think about innovation as going after new unchartered territories, but it is also important to innovate in those existing dimensions that will remain important for customers. Our account managers periodically call customers to work with them to see if there are opportunities to create better efficiencies and lower bills.
An exception must therefore be contained so that the machine returns to efficient execution as quickly as possible. If we see an organization as a machine, we will define it in terms of efficiency: what gets measured is what gets managed, and when we apply old-style thinking we come to rely on old-style managing.
We know that innovative technologies always take off whenever barriers to entry fall for market participants. In particular small and medium-sized companies with innovative strength can benefit. Of course, consistent quality also contributes to the satisfaction of the customer. That is the case right now with AI and ML.
It utilizes methodologies like DStore, which takes advantage of underused hard drive space by using it for storing vast amounts of collected datasets while enabling efficient recovery processes. These systems enable vast amounts of data to be spread over multiple nodes, allowing for simultaneous access and boosting processing efficiency.
To do this, we have teams of experts that develop more efficient video and audio encodes , refine the adaptive streaming algorithm , and optimize content placement on the distributed servers that host the shows and movies that you watch. The goal is to bring you joy by delivering the content you love quickly and reliably every time you watch.
The technical program, put together by program chairs Tor Aamodt and Reetuparna Das , showcased key innovations across a wide range of computer architecture topics, from domain-specific accelerators to in/near-memory computing and from security to quantum computing. . This year’s MICRO had three inspiring keynote talks. Conference.
To do this, we have teams of experts that develop more efficient video and audio encodes , refine the adaptive streaming algorithm , and optimize content placement on the distributed servers that host the shows and movies that you watch. The goal is to bring you joy by delivering the content you love quickly and reliably every time you watch.
While it is true that it is people and not assets who innovate, the assets can enable or prohibit such innovation. Single-loop learning is concerned with staying on-course. Abstract thinkers are constantly questioning why and looking for the right course of action based on all available information.
Here are the bombshell paragraphs: Our datacenter applications seek ever more CPU-efficient and lower-latency communication, which Pony Express delivers. Rather than reimplement TCP/IP or refactor an existing transport, we started Pony Express from scratch to innovate on more efficient interfaces, architecture, and protocol.
General PostgreSQL use cases In addition to being used as a backend database management system, here are other general uses of PostgreSQL software: Website applications: Because PostgreSQL can handle high volumes of data and concurrent users efficiently, it’s suitable for applications that require scalability and performance.
However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Increased time spent on innovation. What does APM stand for? Better user experiences.
Continuous cloud monitoring enables real-time detection and response to incidents, with best practices highlighting the importance of assessing cloud service providers, adopting layered security, and leveraging automation for efficient scanning and monitoring.
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