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As customer and business demands accelerate, site reliability engineers, ITOps teams, developers and management need operational visibility into their entire architecture. But complex modern infrastructure and applications make answering questions about what happened, who was affected and how it can be fixed more difficult than ever. Observability systems enable you to inspect and understand your application stack — but what is observability, and how does it differ from simple monitoring?
- The complementary relationship between observability and monitoring - The three critical pillars to achieve observability - How to build observability into your application environment - How observability helps you tame complexity and reduce MTTR
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From consideration to checkout, learn how New Relic can help you optimize performance across all your digital channels
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We surveyed hundreds of DevOps practitioners about their monitoring and observability challenges for delivering modern cloud applications. We summarized our findings in the State of Observability 2021 report.
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Compare Grafana and New Relic on market position, pricing, and core strengths.
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IT infrastructure monitoring (ITIM) tools help tackle these new challenges and offer visibility across hybrid infrastructures and emerging architectures. ITIM tools capture health and resource utilization of IT systems — providing real-time insight. Use this Market Guide to: - Learn why organizations need to adapt to hybrid, modular, dynamic and cloud-based environments. - Learn how I&O leaders can best improve business outcomes. Compare various IT infrastructure monitoring tool vendors.
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The field of data science is continuously growing, subsequently, there are a ton of career roles available for one to choose from within the data science domain. This blog lists down some of the most emerging career options in data science one can opt for.
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Today, HubSpot announced a milestone of more than 1,000 integrated apps featured in the app marketplace for its CRM platform. The call to better integrate martech is being heard. As you may know, I joined HubSpot a little over four years ago to help grow its platform ecosystem. So I'm delighted to see this momentum build. And I feel like it's still in the early stages of what it will become. A huge 'thank you'
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The best protection against being hacked is well-informed developers. Make your development team into security experts today.
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This frequently-updated page contains real-life examples and diagrams from Upsolver customers who are using AWS data lakes. While the Upsolver platform itself is a key component in all of these architectures, we hope even non-customers can learn from these examples when it comes to the use cases, considerations, and design patterns that go into a typical cloud data lake.
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APM continues to be critical for modern, multicloud observability. Read the report where Gartner defines the market as "software that enables the observation of application behaviour and its infrastructure dependencies, users, and business key performance indicators (KPIs) throughout the application’s life cycle," and see why we’re positioned highest and furthest in both Completeness of Vision & Ability to Execute.
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Josh Evans talks about the chaotic and vibrant world of microservices at Netflix. He starts with the basics- the anatomy of a microservice, the challenges around distributed systems, and the benefits. Then he builds on that foundation exploring the cultural, architectural, and operational methods that lead to microservice mastery.
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In this article, we’ll present seven of the key best practices you should adhere to when designing, implementing and operationalizing your data lake. These are things that will mostly be automatically implemented if you’re using Upsolver, but if you’re building your data lake ‘manually’ you’ll need to ensure they’re done correctly if you want to get the most value out of your data lake architecture. While we will mostly be referring to Amazon S3 as the storage layer, these best practices would also apply for a data lake built on a different cloud or using Hadoop on-premise.
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There are many tools available for doing large-scale data analysis, and picking the right one for a given job is critical. Here, we take an in-depth analysis of the architecture and performance characteristics of a completely serverless data processing platform. While the approach isn’t applicable for every use case, it has a very low total cost of ownership (TCO) and because AWS Lambda allows us to run arbitrary code easily, this approach provides the flexibility to handle non-standard data formats easily.
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Nonfungible tokens (NFTs), digital humans and physics-informed AI join the 25 technology profiles on the Gartner emerging technologies hype cycle for 2021.
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Performance chapter of the 2021 Web Almanac covering Core Web Vitals (Largest Contentful Paint, Cumulative Layout Shift, First Input Delay) as well as First Contentful Paint and Time to First Byte
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The goal of the Web Almanac’s Structured Data chapter is to explore how structured data is currently being used across the web. We hope that this will provide insight into the landscape, the challenges, and the opportunities at hand.
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Fluency on the command line is a skill often neglected or considered arcane, but it improves your flexibility and productivity as an engineer in both obvious and subtle ways. This is a selection of notes and tips on using the command-line that we've found useful when working on Linux. Some tips are elementary, and some are fairly specific, sophisticated, or obscure. This page is not long, but if you can use and recall all the items here, you know a lot.
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Within a matter of hours of each day beginning, we ingest tens of billions of records from online sources to HDFS, aggregated across 50+ offline data flows, and visualize 40+ metrics across our business lines to support a dashboard providing company leaders with timely and critical business insights. Dubbed the Daily Executive Dashboard (DED), this dashboard contains critical growth, engagement, and bookings metrics that indicate the health of LinkedIn’s business. In this blog post, we’ll spotlight the challenges to DED’s delivery and performance posed by the growing complexity of computing and aggregating these metrics, and how this dashboard transformed our approach to data pipelines across the company.
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This year's State of the API report covers the largest and most comprehensive survey on APIs, ever. More than 28,000 developers and API professionals shared their thoughts on a range of topics, including their organizations' development priorities, how they get their work done, and where they see the industry going. We combined this data with data we've observed on the Postman API Platform to build a robust picture of the current state—and the future—of APIs.
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Choose more than one vendor solution, if necessary. Vendors in the enterprise search functionality segment have cognitive search solutions that apply to the widest number of use cases and include website search and digital commerce. However, the actual features offered by these vendors vary greatly and may not be the best choice for digital commerce. For example, some vendors in the digital commerce functionality segment have sophisticated tools for merchandising that many more general-purpose solutions lack. It is reasonable and not uncommon for enterprises to have more than one cognitive search solution depending on use cases, data sources, content types, and other factors.
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Demand for APIs, fueled by new business models, application development trends and the urgency of modernization, is directing software engineering leaders to the diverse, evolving market for full life cycle API management products. This research assesses 17 vendors to help you make the right choice.
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The CNCF Cloud Native Landscape Project is intended to be a resource map to help enterprises and developers through the previously uncharted terrain of cloud native technologies.
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In this guide, we’ll break this mammoth landscape down and provide a high-level overview of its layers, columns, and categories.
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The cloud native landscape (png, pdf), serverless landscape (png, pdf), and member landscape (png, pdf) are dynamically generated from github repositories.
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The Technology Radar is an opinionated guide to technology frontiers.
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Curated by Farid Mheir
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