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Have you ever wondered if opensource is secure? Episode 55 of Tech Transforms tackles these security reservations about opensource code. Magill explains how government agencies can securely use opensource code. If so, you are not alone. Make sure to stay connected with our social media pages.
Andreas Grabner, DevOps Activist at Dynatrace, took to the virtual stage at the recent Dynatrace Perform conference to describe how the opensource Keptn project automates the configuration of observability tools, dashboards, and alerting based on service-level objectives (SLOs).
Today’s organizations are constantly enhancing their systems and services as new opportunities arise, inspiring new forms of collaboration while relying on open ecosystems and opensource software. Opensource software is an example of the value created in an open ecosystem.
These are just a few of the open-source technologies you may encounter as you research observability solutions for managing complex multicloud IT environments and the services that run on them. Of these open-source observability tools, one stands out. Then, Google made the OpenCensus project opensource in 2018.
In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.
He explains how this opensource project has set the industry standard for container orchestration since its inception. Kubernetes traces its roots back to Google’s internal Borg and Omega cluster management systems from the early 2000s. Read the full article in The Register.
Scalable Video Technology (SVT) is Intel’s opensource framework that provides high-performance software video encoding libraries for developers of visual cloud technologies. At Netflix, we believe that the AV1 ecosystem would benefit from an alternative clean and efficient open-source encoder implementation.
We are a company of opensource proponents. We’re also dedicated and active participants in the global opensource community. Both opensource and proprietary options have advantages. With opensource database software , anyone in the general public can access the source code, read it, and modify it.
In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.
Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. But first, some background. Why containers? What is Docker? What is Kubernetes? Kubernetes.
Author: Andy Glover Since releasing Spinnaker to the opensource community in 2015 , the platform has flourished with the addition of new cloud providers, triggers, pipeline stages, and much more. Myriad new features, improvements, and innovations have been added by an ever growing, actively engaged community.
Are you passionate about open-source databases, AI/ML, and security? Percona is excited to invite students to participate in Google Summer of Code 2025 (GSoC) and help advance our cutting-edge open-source database solutions! Why Contribute to Percona?
Hundreds of thousands of companies use Google Cloud’s GKE to build and run their applications. Advancing a cool component to the mix, did you know Google Cloud does all the manual work and more with GKE Autopilot ? GKE Autopilot and beyond.
Gross has taken on the challenge of managing a fast-paced tech environment, supporting Sandia in advancements with opensource and industry collaboration. Read the blog User experience and DevSecOps make a positive impact Sandia National Laboratories has made remarkable contributions to national security and technology innovation.
If we speak about commercial load testing tools, we see rather a shrinking market and not too much innovation recently. OpenSource. To evaluate such ecosystems, in absence of more sophisticated data, I used the number of documents Google finds and the number of jobs Monster finds mentioning each product.
“This is a mouthful of buzzwords” is how I started my recent presentations at the Online Kubernetes Meetup as well as the DevOps Fusion 2020 Online Conference when explaining the three big challenges we are trying to solve with Keptn – our CNCF OpenSource project: Automate build validation through SLI/SLO-based Quality Gates.
We’re equally convinced on both counts, but in this blog article, we’re focusing on why MongoDB is not opensource. Let’s start with this: MongoDB is accurately referred to as source-available software. To be clear, we are rock-solid in our stance that MongoDB is not opensource.
Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. Originally created by Google, Kubernetes was donated to the CNCF as an opensource project.
If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. However, opensource software is often a vector for security vulnerabilities.
Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Manual troubleshooting is painful, hurts the business, and slows down innovation.
To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Dynatrace news. To fully answer “What are microservices?”
To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Dynatrace news. To fully answer “What are microservices?”
These are just a fraction of the technology buzzwords you’ll find as you Google your way around the internet. The OpenCensus project was made opensource by Google back in 2018, based on Google’s Census library that was used internally for gathering traces and metrics from their distributed systems. Dynatrace news.
This allows developers to focus more of their efforts on innovation and delivering the best user experience to their customers. New development frameworks from the key players Apple, Google, and Microsoft, among others, are heavily invested in development tools and frameworks. In many cases, an alternative app is installed.
Manual instrumentation and configuration – When IT resources are forced to manually instrument and change code for every new type of component or agent, they spend most of their time trying to set up observability, rather than innovating based on insights from observability data.
Dynatrace extends contextual analytics and AIOps for open observability. Dynatrace provides new AIOps capabilities for all data sources, including open-source observability data via OpenTelemetry and Prometheus. But most of that budget goes toward running the business—not software innovation. AIOps done right.
In 2022, we released 33 episodes covering a multitude of topics — from privacy issues to zero trust initiatives to American innovation — that sit at the intersection of technology, government, and human needs. Jennifer Ewbank, Deputy Director for Digital Innovation at Central Intelligence Agency. Google Podcasts. Postal Service.
Google’s Lighthouse is one of them, which shows information about PWA, SEO and more. presented in Google IO 2018 ( source ) These tools make it easier to determine where we need to put emphasis to improve our sites. Promote feedback from individual contributors and give them time to create innovative prototypes and POCs.
Why is it that Google, a company once known for its distinctive “Do no evil” guideline, is now facing the same charges of “surveillance capitalism” as Facebook, a company that never made such claims? They are a price that we pay for a rising tide of innovation. What Is Economic Rent? For example, consider drug pricing.
With the Red Hat Summit 2019 just around the corner, this month’s featured partner is the world’s leading provider of opensource software solutions: Red Hat. So, he started selling opensource Linux and Unix operating systems with his famous sales pitch “You wouldn’t buy a car with the hood welded shut”.
Kubernetes (aka K8s) is an open-source platform used to run and manage containerized applications and services on clusters of physical or virtual machines across on-premises, public, private, and hybrid clouds. Kubernetes forged by the rise of Google. Google Cloud Kubernetes Engine (GKE). Where does it come from?
This poses a dilemma for application teams responsible for innovation: How can they comply with ever-increasing security requirements while managing fast release cycles for hundreds of microservices? Utilizing cloud-native platforms, Kubernetes, and open-source technologies requires a radically different approach to application security.
He has built an assortment of free and open-source tools – from ShowSlow (a circa-2009 synthetic monitoring tool) to Speed Patterns (a collection of design patterns for fast user experiences on the web that is a current work in progress). . ;)" ShowSlow was one of my favorite tools early in my career.
Finally, the most important question: Opensource software enabled the vast software ecosystem that we now enjoy; will open AI lead to an flourishing AI ecosystem, or will it still be possible for a single vendor (or nation) to dominate? When AI becomes a commodity, it decouples real innovation from capital.
At Neotys PAC 2019 in Chamonix, France, I presented approaches on how to solve this problem by looking at examples from companies such as Intuit, Dynatrace, Google, Netflix, T-Systems and others. Keptn is the opensource control plane for continuous deployment and automated operations for cloud native applications on Kubernetes.
ConsoleMe: A Central Control Plane for AWS Permissions and Access By Curtis Castrapel , Patrick Sanders , and Hee Won Kim At AWS re:Invent 2020, we opensourced two new tools for managing multi-account AWS permissions and access. If you missed the talk, check it out here.
These are just a fraction of the technology buzzwords you’ll find as you Google your way around the internet. The OpenCensus project was made opensource by Google back in 2018, based on Google’s Census library that was used internally for gathering traces and metrics from their distributed systems.
Time and again, leading scientists, technologists, and philosophers have made spectacularly terrible guesses about the direction of innovation. We’ll see more innovation if emerging AI tools are accessible to everyone, such that a dispersed ecosystem of new firms, start-ups, and AI tools can arise. But it is far from alone.
Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. Yet it reveals a migration trajectory favoring multi-cloud models as companies wake up to advantages such as heightened innovation potential tied with these varied service structures.
16% of respondents working with AI are using opensource models. Many of the new opensource models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). Microsoft, Google, IBM, and OpenAI have offered more general indemnification.
Having set the price of copyrighted training data to $1B or thereabouts, other model developers will need to pay similar amounts to license their training data: Google, Microsoft (for whatever independently developed models they have), Facebook, Amazon, and Apple. Or will innovation only be possible through the entrenched monopolies?
The average user doesn’t spend much time waiting for a web page to load or to interact with the page: According to Google, if a page’s load time goes up from 1 second to 3 seconds, the probability of the user bouncing increases by 32%. Consider Google Analytics, which collects and sends tracking data using navigator.sendBeacon().
It is a dark pattern, a map to suboptimal outcomes rather than the true path to competition, innovation and the creation of robust companies and markets. In a well-functioning market, many startups would have explored a technology innovation like on-demand transportation over a much longer period. I disagree.
A website’s performance can make or break its success, yet in August 2020, despite many improvements we had previously made, such as implementing Server-Side Rendering (SSR), the ratio of Wix websites with good Google Core Web Vitals (CWV) scores was only 4%. Source: HTTP Archive's Core Web Vitals Technology Report. Large preview ).
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