Monitor your Client-Side with AWS, Containers, and New Relic
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The document discusses New Relic Synthetics, a tool for monitoring client-side applications using containers. It can run tests behind a firewall from any cloud location using a containerized approach. The tests are powered by an automation environment that includes Selenium and Chrome. All test data is captured and available in Insights with no observation variability. Deploying the Docker image is easy with a single command and upgrades involve stopping, pulling, and starting the Docker container. There is a demonstration of New Relic Synthetics and takeaways on how it allows for successful synthetic monitoring of internal applications from any location with an easy process and lossless data collection.
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Redis was initially used for caching and locking at New Relic. As usage grew, manual sharding was required using application-level hashing to distribute keys across multiple Redis instances. This led to configuration and deployment challenges. New Relic then upgraded to Redis Cluster, which automatically shards and distributes keys. This removed the need for manual sharding code and provides an easier to manage clustered Redis deployment. Going forward, New Relic plans to deploy Redis Cluster using Kubernetes for automated operations and improve monitoring of the clustered Redis infrastructure.
Open Source for Industry 4.0 – Open IoT Summit NA 2018
Industry 4.0 is set to revolutionize the manufacturing industry. The potential for more flexible manufacturing, more efficient processes and lower costs are the driving factors behind the investment in Industry 4.0 solutions. A key part of creating successful Industry 4.0 solutions will be software on the factory floor and in the cloud.
In this talk, we will introduce how open source software has become a trusted source of technology for the enterprise IT software industry and how the Eclipse IoT open source community and other open source communities are now ready to provide production ready technology for the manufacturing industry and Industry 4.0. Open source software will provide the key building blocks that will promote the interoperability and flexibility required by Industry 4.0 solutions.
Connecting the Smart Factory to the Cloud
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This webinar showcases how easy it is to connect the popular Opto 22 groov EPIC to the cloud using HiveMQ Cloud and then visualizing the real-time data in Canary Labs Cloud historian.
The fun thing about the demo in the webinar is that no software was installed; we used only managed cloud solutions provided by HiveMQ and Canary Labs.
About the Speakers.
Ian Skerrett is Vice President of Marketing at HiveMQ. He has over 25 years of experience in the software industry and is one of the top experts for creating Open Source Strategies for enterprise software products. He was instrumental in creating the Eclipse IoT open source community with more than 15 different open source projects that provide the building blocks developers require for building IoT solutions. He is also a frequent speaker on IoT and MQTT.
Jeff Knepper is Executive Director of Business Development at Canary Labs.
Benson Hougland is VP of Marketing & Product Strategy at Opto 22.
To watch the webinar recording: https://www.hivemq.com/webinars/connecting-a-smart-factory-to-the-cloud-with-mqtt-and-sparkplug/
Connecting the smart factory to the cloud with MQTT and Sparkplug
This document summarizes a webcast about connecting smart factories to the cloud using MQTT and Sparkplug. It introduces the speakers and discusses challenges with traditional OT systems, how MQTT and Sparkplug address these challenges, and key concepts of Sparkplug. It also previews a live demo showing how devices in a factory can securely communicate with cloud services using MQTT and Sparkplug without requiring any new software installations.
Megabase: How We Containerized Databases at New Relic
Is running databases in containers crazy? The database team at New Relic decided to boldly pursue containers as a way to improve our delivery time and cost efficiency for new database deployments. We had to market the idea to engineering teams, get buy-in from architects, and incrementally build the tools necessary to manage databases in this new paradigm. In this presentation we’ll dive into both the social and technical aspects of building Megabase, New Relic’s platform for running data stores (MySQL, Postgres, Redis) on Docker.
Setting SLOs and SLIs in the Real World
Clearly defined and well-measured Service Level Objectives (SLOs) and Service Level Indicators (SLIs) are a key pillar of any reliability program. SLOs allow organizations and teams to make smart, data-driven decisions about risk and the right balance of investment between reliability and product velocity.
Production ready kubernetes
This document summarizes tips and considerations for running Kubernetes in production. It covers high availability, in-cluster design, security, monitoring and logging, and day-2 operations. The sections provide advice on topics like using anti-affinity for high availability, mapping namespaces to organizational structure, network policies and RBAC for security, using Prometheus operator for monitoring, and backup strategies and upgrades for day-2 operations. Attendees are encouraged to ask questions in the Q&A.
Kubernetes and real-time analytics - how to connect these two worlds with Apa...
Did you like it? Check out our blog to stay up to date: https://getindata.com/blog
More and more services are running in Kubernetes so it means that we can migrate our current data pipelines to the new environment. In case of Flink we have multiple ways to do real-time data streaming: use Lyft or GCP operator, go with official deployment and customize it or choose the Ververica Platform or create something on your own. The presentation shows how to choose the right solution for technical requirements and business needs to run Flink in Kubernetes at great scale with no issues.
Author: Albert Lewandowski
Linkedin: https://www.linkedin.com/in/albert-lewandowski/
___
Getindata is a company founded in 2014 by ex-Spotify data engineers. From day one our focus has been on Big Data projects. We bring together a group of best and most experienced experts in Poland, working with cloud and open-source Big Data technologies to help companies build scalable data architectures and implement advanced analytics over large data sets.
Our experts have vast production experience in implementing Big Data projects for Polish as well as foreign companies including i.a. Spotify, Play, Truecaller, Kcell, Acast, Allegro, ING, Agora, Synerise, StepStone, iZettle and many others from the pharmaceutical, media, finance and FMCG industries.
https://getindata.com
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7 Tips & Tricks to Having Happy Customers at Scale
Customer expectations are at an all-time high, making it more and more difficult for companies to please them. Companies who understand their customers well are the ones who rise to the top over their competitors. New Relic, provider of real-time insights for software-driven businesses has this formula figured out. Roger Scott, New Relic's EVP and Chief Customer Officer shares his 7 tips and tricks for keeping your customers happy— and how to do so at a large scale.
7 Tips & Tricks to Having Happy Customers at Scale
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New Relic University at Future Stack Tokyo 2019
New Relicのエキスパート・インストラクターが、New Relic プラットフォームの詳細を説明しながら、実践的なハンズオントレーニングを実施します。
対象：
既にNew Relic をお使いの方はもちろん、これから使ってみようかとご検討中の方にもオススメ。
実践的な観点からNew Relicのベストプラクティスを伝授いたします。
アジェンダ：
・アプリケーションパフォーマンス管理再考 ー 何をどう確認すれば良いのか？
・New Relic Insights 集中講座 ー 集めたデータをどう分析・活用すべきか？
・New Relic Alerts 集中講座 ーリスク最小化のためのアラート実践術！
担当講師：
New Relic 株式会社
シニア ソリューション コンサルタント
日吉 潤一郎
経歴：大手SIerでのシステムエンジニア、グローバルなソフトウェアハウスでの開発者を経て、2000年よりアプリケーションパフォー マンスのプロフェッショナルとして活躍。APM分野では17年のキャリアを持ち、日本における第一人者。
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しかし、サービスの成長の中でも提供済みの機能に対する品質を維持/向上させなければホットペッパービューティーを利用いただいているユーザーのユーザビリティを損なってしまいます。
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株式会社リクルートライフスタイル
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サービス、プロダクトを”いつまでも”継続する為には、インサイトとデータを組織の力とする必要があります。
私達が開発、運用するドワンゴジェイピーは、間もなく二十周年を迎えます。決して順風満帆ではなかったシステムの遍歴と New Relic の導入方法を交え、継続できた理由の一つ、インサイトとデータを組織の力へ変換する方法をご紹介します。
Three Monitoring Mistakes and How to Avoid Them
The days of parsing log files and building out homebrewed monitoring tools are (thankfully) coming to an end. Yet as those outdated techniques begin to fade, a whole new set of challenges have arisen around employing and running modern monitoring solutions.
Discover how New Relic can help turn monitoring blunders into intelligent problem solving, including how to avoid making common mistakes like:
- Not monitoring the whole system
- Monitoring arbitrary things in your system
- Making your monitoring part of the problem
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This document discusses New Relic, Inc., a company that provides application performance monitoring and management products. It notes that the document contains forward-looking statements and actual results may differ. It also states that New Relic assumes no obligation to update any forward-looking statements except as required by law.
SRE-iously
This document discusses site reliability engineering (SRE) practices at New Relic. It describes New Relic's transition from a monolithic architecture to microservices, and the establishment of an SRE team with both embedded and dedicated roles. The SRE team aims to continuously improve the reliability of New Relic's platform. Key aspects of SRE success outlined include reliability as a feature, shared understanding, clear guidelines, and community building.
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Ground Rules for Code Reviews
This document outlines strategies for improving code reviews at New Relic. It discusses establishing ground rules for reviews, different types of feedback (objective vs. subjective comments), and tagging comments as blocking or non-blocking. Guidelines are proposed for giving constructive criticism without being patronizing. The impact of implementing these strategies was more respectful discussions, less resentment between reviewers and authors, and a more efficient review process.
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Monitor all your Kubernetes and EKS stack with New Relic
This document discusses New Relic's capabilities for monitoring Kubernetes and EKS stacks. It begins with safe harbor statements and an overview of how applications have evolved from monoliths to orchestrated containers. Kubernetes allows for faster development, cost efficiency and portability but requires new monitoring approaches. New Relic's solution provides immediate insights into EKS clusters, allows alerting on any Kubernetes metric, and offers a deep stack view from applications to infrastructure through easy installation and extensibility via APIs. A demo then illustrates New Relic's EKS monitoring capabilities.
Host for the Most: Cloud Cost Optimization
The document discusses the need for workload aware spend optimization when moving workloads to the cloud. It outlines a methodology for defining, refining, and optimizing cloud initiatives by baselining workloads, establishing organization and migration tracking, implementing feedback loops, and achieving business agility. The methodology aims to optimize both cloud spending and end user experience using New Relic's monitoring capabilities.
New Relic Infrastructure in the Real World: AWS
The document discusses New Relic's cloud monitoring capabilities. It provides visibility into full software stacks from hardware to applications. It allows linking of multiple AWS accounts for consolidated monitoring across teams. Settings and automation tools allow for efficient monitoring by customizing dashboards, frequencies, and regions to monitor. The API also allows for automation to reduce monitoring costs.
Best Practices for Measuring your Code Pipeline
The document discusses best practices for measuring a code pipeline, which automates the continuous integration and delivery process. It recommends sending events from source code management systems to capture metadata on commits and pushes. Pipeline state changes and test results should also be recorded to analyze patterns and correlate metrics. Builds should be tagged to relate runtime performance to code revisions. Measuring the pipeline allows teams to move faster, identify failures, and ensure deployments don't degrade quality.
Top Three Mistakes People Make with Monitoring
The document discusses three common mistakes companies make with application monitoring: 1) Not monitoring the entire system leading to blind spots, 2) Monitoring arbitrary metrics that don't provide useful information, and 3) Viewing monitoring as someone else's problem rather than prioritizing it themselves. The author is from New Relic and seeks to educate on best practices for effective monitoring.
Kubernetes in the Wild: Best Practices for Monitoring
The document discusses the need to rethink cloud migration strategies. It summarizes a presentation by New Relic on moving applications to the cloud. The presentation introduces the concept of "re:thinking" as the 7th "R" in cloud migration strategies. It argues that to successfully migrate applications, teams need to rethink monitoring, tagging policies, auto-scaling, cost management, legacy system integration, and continuous refactoring through a lens of cloud-native practices.
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DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Trusted Execution Environment for Decentralized Process Mining
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
AWS Cloud Cost Optimization Presentation.pptx
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
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Monitor your Client-Side with AWS, Containers, and New Relic
- 1. ©2008–18 New Relic, Inc. All rights reserved Monitor your client-side with AWS, containers, and New Relic Mat Ball - Product Marketing
- 2. ©2008–18 New Relic, Inc. All rights reserved What are we doing today? 2
- 3. ©2008–18 New Relic, Inc. All rights reserved 3 Containerized Private Minions, New Relic Synthetics Synthetic Monitoring Behind the Firewall - Any Cloud Location Using a Container
- 4. ©2008–18 New Relic, Inc. All rights reserved New Relic Synthetics - what you need to know... 4
- 5. ©2008–18 New Relic, Inc. All rights reserved 5 Powerful automation environment Sandboxed environment Selenium + Chrome 3rd party NPM packages
- 6. ©2008–18 New Relic, Inc. All rights reserved 6 Automatic instrumentation All the DATA! Available in Insights Captured post-mortem No observation variability
- 7. ©2008–18 New Relic, Inc. All rights reserved 7 Ease of deployment Docker image Single command start and go Upgrades are simple Docker stop → Docker pull → Docker start Orchestration friendly
- 8. ©2008–18 New Relic, Inc. All rights reserved Demo time!!! 8
- 9. ©2008–18 New Relic, Inc. All rights reserved Takeaways 9
- 10. ©2008–18 New Relic, Inc. All rights reserved 10 Successful synthetic monitoring Internal Application + Any Location Easy Process The Data - Page resources - Lossless data - Timing information
- 11. Thank You ©2008–18 New Relic, Inc. All rights reserved @matball49 linkedin.com/in/matball