Não importa onde você esteja em sua jornada rumo à nuvem, o Elastic APM ajuda a oferecer melhores experiências ao cliente, identificando gargalos de desempenho e identificando regressões de novas implantações com mais rapidez.
Reinventing enterprise defense with the Elastic StackElasticsearch
Tune in to hear the most impactful lessons learned from Uber's security journey, and how security practitioners everywhere can tackle pervasive enterprise security challenges using the Elastic Stack.
O monitoramento da infraestrutura facilitado, da ingestão ao insightElasticsearch
Descubra como a integração simplificada de dados com integrações predefinidas, insights automatizados com alertas e aprendizado de máquina e novas ferramentas visuais estão otimizando o caso de uso de monitoramento de infraestrutura.
Construção de uma plataforma de observabilidade centralizadaElasticsearch
Veja como o Elastic Observability capacita equipes de plataforma a criar centros de excelência com recursos como gerenciamento central para agentes, gerenciamento de ciclo de vida de índice e instantâneos pesquisáveis.
Elastic APM: Combinalo con tus logs y métricas para una visibilidad completaElasticsearch
Las aplicaciones suelen ser la interfaz de cliente principal en las organizaciones modernas, lo que tiene un impacto directo sobre resultados como los ingresos y pérdidas de clientes. Elastic APM puede ayudarte a ofrecer mejores prácticas mediante la rápida detección de los cuellos de botella en materia de rendimiento y de las regresiones en los nuevos despliegues . Descubre cómo obtener una visión completa sobre los servicios en los que se basan tus aplicaciones, del frontend al backend, para optimizar su rendimiento.
Combining logs, metrics, and traces for unified observabilityElasticsearch
The document discusses Elastic's approach to unified observability which combines logs, metrics, and traces into a single platform to break down silos. Key points include:
- Traditional monitoring tools are siloed and don't work well for modern cloud-native applications.
- Elastic offers a unified approach that brings together APM, uptime, metrics, and logs data on a single platform powered by the Elastic stack.
- This provides benefits like unified anomaly detection, alerting, visualization, schema, and pricing to give developers and operations teams a single tool for observability.
Elastic APM: Amplía tus logs y métricas para ver el panorama completoElasticsearch
No importa dónde se encuentre en su viaje a la nube nativa, Elastic APM ayuda a ofrecer mejores experiencias al cliente al detectar los cuellos de botella en el rendimiento e identificar más rápidamente las regresiones de las nuevas implementaciones.
Palestra de abertura: Evolução e visão do Elastic ObservabilityElasticsearch
O caso de uso de Observability ajuda a conduzir o tempo médio de resolução a zero com visibilidade de ponta a ponta em uma única plataforma. Ouça sobre os recursos e capacidades mais recentes e tenha uma visão do futuro.
Elastic APM: Amping up your logs and metrics for the full pictureElasticsearch
No matter where you are in your journey to cloud native, Elastic APM helps deliver better customer experiences by spotting performance bottlenecks and identifying regressions from new deployments faster.
Reinventing enterprise defense with the Elastic StackElasticsearch
Tune in to hear the most impactful lessons learned from Uber's security journey, and how security practitioners everywhere can tackle pervasive enterprise security challenges using the Elastic Stack.
O monitoramento da infraestrutura facilitado, da ingestão ao insightElasticsearch
Descubra como a integração simplificada de dados com integrações predefinidas, insights automatizados com alertas e aprendizado de máquina e novas ferramentas visuais estão otimizando o caso de uso de monitoramento de infraestrutura.
Construção de uma plataforma de observabilidade centralizadaElasticsearch
Veja como o Elastic Observability capacita equipes de plataforma a criar centros de excelência com recursos como gerenciamento central para agentes, gerenciamento de ciclo de vida de índice e instantâneos pesquisáveis.
Elastic APM: Combinalo con tus logs y métricas para una visibilidad completaElasticsearch
Las aplicaciones suelen ser la interfaz de cliente principal en las organizaciones modernas, lo que tiene un impacto directo sobre resultados como los ingresos y pérdidas de clientes. Elastic APM puede ayudarte a ofrecer mejores prácticas mediante la rápida detección de los cuellos de botella en materia de rendimiento y de las regresiones en los nuevos despliegues . Descubre cómo obtener una visión completa sobre los servicios en los que se basan tus aplicaciones, del frontend al backend, para optimizar su rendimiento.
Combining logs, metrics, and traces for unified observabilityElasticsearch
The document discusses Elastic's approach to unified observability which combines logs, metrics, and traces into a single platform to break down silos. Key points include:
- Traditional monitoring tools are siloed and don't work well for modern cloud-native applications.
- Elastic offers a unified approach that brings together APM, uptime, metrics, and logs data on a single platform powered by the Elastic stack.
- This provides benefits like unified anomaly detection, alerting, visualization, schema, and pricing to give developers and operations teams a single tool for observability.
Elastic APM: Amplía tus logs y métricas para ver el panorama completoElasticsearch
No importa dónde se encuentre en su viaje a la nube nativa, Elastic APM ayuda a ofrecer mejores experiencias al cliente al detectar los cuellos de botella en el rendimiento e identificar más rápidamente las regresiones de las nuevas implementaciones.
Palestra de abertura: Evolução e visão do Elastic ObservabilityElasticsearch
O caso de uso de Observability ajuda a conduzir o tempo médio de resolução a zero com visibilidade de ponta a ponta em uma única plataforma. Ouça sobre os recursos e capacidades mais recentes e tenha uma visão do futuro.
Elastic APM: Amping up your logs and metrics for the full pictureElasticsearch
No matter where you are in your journey to cloud native, Elastic APM helps deliver better customer experiences by spotting performance bottlenecks and identifying regressions from new deployments faster.
Elastic APM : développez vos logs et vos indicateurs pour obtenir une vue com...Elasticsearch
Pour les organisations modernes, les applications sont souvent l'interface client principale, et influencent directement les résultats tels que le chiffre d'affaires et la fidélisation de la clientèle. Quelle que soit votre progression dans votre parcours vers les solutions cloud natives, Elastic APM peut vous aider à améliorer les expériences clients en détectant plus tôt les goulets d'étranglement des performances et en identifiant plus rapidement les régressions à partir des nouveaux déploiements. Découvrez comment obtenir une vue complète des services qui alimentent vos applications, du front-end au back-end, pour garantir un fonctionnement optimal.
Elastic APM: Amping up your logs and metrics for the full pictureElasticsearch
No matter where you are in your journey to cloud native, Elastic APM can help you deliver better customer experiences by spotting performance bottlenecks sooner and identifying regressions from new deployments faster. Learn how to get a complete view of the services that power your applications — from frontend to backend — to keep them running smoothly.
Le monitoring d'infrastructure de l'ingestion aux données : un jeu d'enfants !Elasticsearch
La visibilité de votre infrastructure est essentielle, que ce soit sur le site ou dans le cloud, et qu'elle soit virtualisée, conteneurisée, ou basée sur un mélange hybride. La Suite Elastic (ELK), bien connue pour ses fonctionnalités de logging, a évolué pour intégrer un grand nombre de ces atouts à votre cas d'utilisation des indicateurs. Découvrez comment l'intégration simplifiée des données avec des centaines d'intégrations prédéfinies, l'automatisation des informations avec l'alerting et le machine learning, et les nouveaux outils visuels conçus pour explorer les indicateurs d'infrastructure permettent de rationaliser le cas d'utilisation de monitoring à l'échelle globale.
Keynote : évolution et vision d'Elastic ObservabilityElasticsearch
Elastic Observability aide les organisations à faire tendre vers zéro le temps moyen de résolution avec une visibilité complète de toutes les opérations technologiques sur une seule plateforme. Découvrez les dernières fonctionnalités et capacités à tous les niveaux, de l'ingestion aux données, tandis que les leaders de produits qui conçoivent Elastic Observability lèvent le voile sur son avenir.
Keynote: Elastic Observability evolution and visionElasticsearch
Elastic Observability helps drive mean time to resolution toward zero with end-to-end visibility in a single platform. Hear about the latest features and capabilities, and get a glimpse into the future.
Infrastructure monitoring made easy, from ingest to insightElasticsearch
Visibility into your infrastructure is critical, and the Elastic (ELK) Stack, brings its logging strengths to your metrics use case. Discover how simplified data onboarding with hundreds of prebuilt integrations, automated insights with alerting and machine learning, and new visual tools built for exploring infrastructure metrics are streamlining the monitoring use case.
Keynote: Elastic Observability evolution and visionElasticsearch
Elastic Observability is helping organisations drive their mean time to resolution toward zero with end-to-end visibility in a single platform. Hear about the latest features and capabilities at all layers — from ingest to insight — and get a glimpse into the future straight from the product leaders who are building it.
Conferencia principal: Evolución y visión de Elastic ObservabilityElasticsearch
Elastic Observability ayuda a conducir el tiempo medio de resolución hacia cero con una visibilidad de extremo a extremo en una sola plataforma. Escuche las últimas características y capacidades, y dele un vistazo al futuro.
Desarrollo de una plataforma de observabilidad centralizadaElasticsearch
El éxito de las iniciativas de observabilidad suele depender de los equipos de plataforma que definen, estandarizan y regulan las herramientas y marcos de trabajo centralizados. Descubre la forma en la que Elastic Observability impulsa a estos equipos con características como la gestión centralizada para los agentes, la categorización de logs automatizada (basada en Machine Learning), gestión de ciclo de vida y los snapshot buscables. Juntos, podemos ayudarte a crear centros de excelencia y a ofrecer la observabilidad como servicio a los agentes internos.
Construire une plateforme d'observabilité centraliséeElasticsearch
La réussite des initiatives d'observabilité repose souvent sur les équipes de plateformes qui définissent, standardisent et régissent les outils et cadres centralisés. Découvrez comment Elastic Observability aide ces équipes en offrant des fonctionnalités telles que la gestion centralisée pour les agents, la catégorisation automatique des logs (grâce au machine learning), la gestion du cycle de vie des index et la recherche dans les snapshots. Ensemble, nous pouvons vous aider à créer des centres d'excellence et à proposer l'observabilité en tant que service à vos collaborateurs internes.
Three Pillars, Zero Answers: Rethinking ObservabilityDevOps.com
Observability has never been more important: the complexity of microservices makes it harder and harder to answer basic questions about system behavior. The conventional wisdom claims that Metrics, Logging and Tracing are “the three pillars” of observability… yet software organizations check these three boxes and are still grasping at straws during emergencies.
In this session, we’ll illustrate the problem with the three pillars: metrics, logs, and traces are just data – they are the fuel, not the car.
Monitoreo sencillo de la infraestructura, de la ingesta a la visualizaciónElasticsearch
La visibilidad sobre la infraestructura es un elemento esencial, independientemente de que sea en tus propias máquinas o en la nube, virtualizada, en contenedores, o en un entorno híbrido. El Elastic (ELK) Stack, históricamente conocido por sus capacidades de logging, permite también monitorear tus métricas con el mismo rendimiento Descubre cómo facilitamos la ingesta de datos mediante cientos de integraciones prediseñadas, mejoramos tu día a día con alertas y machine learning, y mejoramos tus visualizaciones con nuevas herramientas desarrolladas para los casos de uso de monitoreo.
Creación de una plataforma de observabilidad centralizadaElasticsearch
Vea cómo Elastic Observability permite a los equipos encargados de la plataforma crear centros de excelencia con características como la gestión central de agentes, la gestión del ciclo de vida de los índices y snapshots buscables.
Automatize a detecção de ameaças e evite falsos positivosElasticsearch
Detecte ameaças e evite falsos positivos com o mecanismo de detecção no Elastic Security. Automatize a detecção de ameaças por meio de correlações e machine learning com exemplos do reais.
ElasticON is a search company that provides the power of a single stack, cloud and hybrid solutions, and innovations to enable search, observability, and security. It offers the Elastic Agent, a unified data shipper, and Fleet for centralized ingestion and management. Kibana Lens provides an intuitive way to explore data. Searchable snapshots allow searching across cold and frozen indexes for cost-effective archiving and compliance. Schema on read provides flexibility for new data sources and handling changes.
Building a centralized observability platformElasticsearch
See how Elastic Observability empowers platform teams to create centers of excellence with features like central management for agents, index lifecycle management, and searchable snapshots.
Reinventing enterprise defense with the Elastic StackElasticsearch
In 2020 Uber's security team landed on a search and discovery platform heavily dependent on the Elastic Stack. While the security engineering challenges Uber faces on a day-to-day basis span far and wide, they're certainly not all unique to Uber — from correlating behaviors across data sources to building interfaces for examining security logs and crafting detection logic to surface malicious behaviors, to name a few. Hear the most impactful lessons learned from Uber's security journey, and how security practitioners everywhere can tackle pervasive enterprise security challenges using the Elastic Stack.
Infrastructure monitoring made easy, from ingest to insightElasticsearch
Elastic Observability provides a full-stack monitoring solution with features including:
- Support for ingesting metrics, logs and traces from applications, services, databases and infrastructure across hosts, VMs and containers.
- Easy addition of new data sources through built-in integrations and support for multiple ingest methods and protocols.
- Capabilities for interacting with and visualizing metrics and log data through dashboards, visualizations and flexible alerting.
- Long term, reliable storage of observability data through Elasticsearch and capabilities like index lifecycle management and data rollups.
Microsoft: Enterprise search for cloud native applicationsElasticsearch
Not everything should go into a container, and the heavy lifting of enterprise search is no exception to this. In this talk, we will explore Elastic Cloud on Azure, discussing its benefits and showing how Elastic fits within the cloud native ecosystem outside of the ELK Stack.
Combinação de logs, métricas e rastreamentos para observabilidade unificadaElasticsearch
Saiba como o Elasticsearch combina com eficiência dados em um único armazenamento e como o Kibana é usado para analisá-los. Além disso, veja como os desenvolvimentos recentes ajudam a identificar e resolver problemas operacionais mais rapidamente.
Global Azure Bootcamp 2017 - Performance and Health Management for Modern App...Adin Ermie
A presentation covering 3 personas; Developers, IT Ops, and Network Administrator, and how they can work together leveraging the various management and monitoring toolsets in Azure.
This document provides an overview of Applications Manager, which is a tool that allows users to monitor applications, infrastructure, and user experience from a single console. It provides application performance monitoring, infrastructure monitoring, end user monitoring, and other features like automatic discovery, notifications, root cause analysis, and reporting. Applications Manager is used by IT operations, DevOps engineers, and others responsible for application performance. It supports monitoring of various technologies and vendors in both on-premise and cloud environments.
Elastic APM : développez vos logs et vos indicateurs pour obtenir une vue com...Elasticsearch
Pour les organisations modernes, les applications sont souvent l'interface client principale, et influencent directement les résultats tels que le chiffre d'affaires et la fidélisation de la clientèle. Quelle que soit votre progression dans votre parcours vers les solutions cloud natives, Elastic APM peut vous aider à améliorer les expériences clients en détectant plus tôt les goulets d'étranglement des performances et en identifiant plus rapidement les régressions à partir des nouveaux déploiements. Découvrez comment obtenir une vue complète des services qui alimentent vos applications, du front-end au back-end, pour garantir un fonctionnement optimal.
Elastic APM: Amping up your logs and metrics for the full pictureElasticsearch
No matter where you are in your journey to cloud native, Elastic APM can help you deliver better customer experiences by spotting performance bottlenecks sooner and identifying regressions from new deployments faster. Learn how to get a complete view of the services that power your applications — from frontend to backend — to keep them running smoothly.
Le monitoring d'infrastructure de l'ingestion aux données : un jeu d'enfants !Elasticsearch
La visibilité de votre infrastructure est essentielle, que ce soit sur le site ou dans le cloud, et qu'elle soit virtualisée, conteneurisée, ou basée sur un mélange hybride. La Suite Elastic (ELK), bien connue pour ses fonctionnalités de logging, a évolué pour intégrer un grand nombre de ces atouts à votre cas d'utilisation des indicateurs. Découvrez comment l'intégration simplifiée des données avec des centaines d'intégrations prédéfinies, l'automatisation des informations avec l'alerting et le machine learning, et les nouveaux outils visuels conçus pour explorer les indicateurs d'infrastructure permettent de rationaliser le cas d'utilisation de monitoring à l'échelle globale.
Keynote : évolution et vision d'Elastic ObservabilityElasticsearch
Elastic Observability aide les organisations à faire tendre vers zéro le temps moyen de résolution avec une visibilité complète de toutes les opérations technologiques sur une seule plateforme. Découvrez les dernières fonctionnalités et capacités à tous les niveaux, de l'ingestion aux données, tandis que les leaders de produits qui conçoivent Elastic Observability lèvent le voile sur son avenir.
Keynote: Elastic Observability evolution and visionElasticsearch
Elastic Observability helps drive mean time to resolution toward zero with end-to-end visibility in a single platform. Hear about the latest features and capabilities, and get a glimpse into the future.
Infrastructure monitoring made easy, from ingest to insightElasticsearch
Visibility into your infrastructure is critical, and the Elastic (ELK) Stack, brings its logging strengths to your metrics use case. Discover how simplified data onboarding with hundreds of prebuilt integrations, automated insights with alerting and machine learning, and new visual tools built for exploring infrastructure metrics are streamlining the monitoring use case.
Keynote: Elastic Observability evolution and visionElasticsearch
Elastic Observability is helping organisations drive their mean time to resolution toward zero with end-to-end visibility in a single platform. Hear about the latest features and capabilities at all layers — from ingest to insight — and get a glimpse into the future straight from the product leaders who are building it.
Conferencia principal: Evolución y visión de Elastic ObservabilityElasticsearch
Elastic Observability ayuda a conducir el tiempo medio de resolución hacia cero con una visibilidad de extremo a extremo en una sola plataforma. Escuche las últimas características y capacidades, y dele un vistazo al futuro.
Desarrollo de una plataforma de observabilidad centralizadaElasticsearch
El éxito de las iniciativas de observabilidad suele depender de los equipos de plataforma que definen, estandarizan y regulan las herramientas y marcos de trabajo centralizados. Descubre la forma en la que Elastic Observability impulsa a estos equipos con características como la gestión centralizada para los agentes, la categorización de logs automatizada (basada en Machine Learning), gestión de ciclo de vida y los snapshot buscables. Juntos, podemos ayudarte a crear centros de excelencia y a ofrecer la observabilidad como servicio a los agentes internos.
Construire une plateforme d'observabilité centraliséeElasticsearch
La réussite des initiatives d'observabilité repose souvent sur les équipes de plateformes qui définissent, standardisent et régissent les outils et cadres centralisés. Découvrez comment Elastic Observability aide ces équipes en offrant des fonctionnalités telles que la gestion centralisée pour les agents, la catégorisation automatique des logs (grâce au machine learning), la gestion du cycle de vie des index et la recherche dans les snapshots. Ensemble, nous pouvons vous aider à créer des centres d'excellence et à proposer l'observabilité en tant que service à vos collaborateurs internes.
Three Pillars, Zero Answers: Rethinking ObservabilityDevOps.com
Observability has never been more important: the complexity of microservices makes it harder and harder to answer basic questions about system behavior. The conventional wisdom claims that Metrics, Logging and Tracing are “the three pillars” of observability… yet software organizations check these three boxes and are still grasping at straws during emergencies.
In this session, we’ll illustrate the problem with the three pillars: metrics, logs, and traces are just data – they are the fuel, not the car.
Monitoreo sencillo de la infraestructura, de la ingesta a la visualizaciónElasticsearch
La visibilidad sobre la infraestructura es un elemento esencial, independientemente de que sea en tus propias máquinas o en la nube, virtualizada, en contenedores, o en un entorno híbrido. El Elastic (ELK) Stack, históricamente conocido por sus capacidades de logging, permite también monitorear tus métricas con el mismo rendimiento Descubre cómo facilitamos la ingesta de datos mediante cientos de integraciones prediseñadas, mejoramos tu día a día con alertas y machine learning, y mejoramos tus visualizaciones con nuevas herramientas desarrolladas para los casos de uso de monitoreo.
Creación de una plataforma de observabilidad centralizadaElasticsearch
Vea cómo Elastic Observability permite a los equipos encargados de la plataforma crear centros de excelencia con características como la gestión central de agentes, la gestión del ciclo de vida de los índices y snapshots buscables.
Automatize a detecção de ameaças e evite falsos positivosElasticsearch
Detecte ameaças e evite falsos positivos com o mecanismo de detecção no Elastic Security. Automatize a detecção de ameaças por meio de correlações e machine learning com exemplos do reais.
ElasticON is a search company that provides the power of a single stack, cloud and hybrid solutions, and innovations to enable search, observability, and security. It offers the Elastic Agent, a unified data shipper, and Fleet for centralized ingestion and management. Kibana Lens provides an intuitive way to explore data. Searchable snapshots allow searching across cold and frozen indexes for cost-effective archiving and compliance. Schema on read provides flexibility for new data sources and handling changes.
Building a centralized observability platformElasticsearch
See how Elastic Observability empowers platform teams to create centers of excellence with features like central management for agents, index lifecycle management, and searchable snapshots.
Reinventing enterprise defense with the Elastic StackElasticsearch
In 2020 Uber's security team landed on a search and discovery platform heavily dependent on the Elastic Stack. While the security engineering challenges Uber faces on a day-to-day basis span far and wide, they're certainly not all unique to Uber — from correlating behaviors across data sources to building interfaces for examining security logs and crafting detection logic to surface malicious behaviors, to name a few. Hear the most impactful lessons learned from Uber's security journey, and how security practitioners everywhere can tackle pervasive enterprise security challenges using the Elastic Stack.
Infrastructure monitoring made easy, from ingest to insightElasticsearch
Elastic Observability provides a full-stack monitoring solution with features including:
- Support for ingesting metrics, logs and traces from applications, services, databases and infrastructure across hosts, VMs and containers.
- Easy addition of new data sources through built-in integrations and support for multiple ingest methods and protocols.
- Capabilities for interacting with and visualizing metrics and log data through dashboards, visualizations and flexible alerting.
- Long term, reliable storage of observability data through Elasticsearch and capabilities like index lifecycle management and data rollups.
Microsoft: Enterprise search for cloud native applicationsElasticsearch
Not everything should go into a container, and the heavy lifting of enterprise search is no exception to this. In this talk, we will explore Elastic Cloud on Azure, discussing its benefits and showing how Elastic fits within the cloud native ecosystem outside of the ELK Stack.
Combinação de logs, métricas e rastreamentos para observabilidade unificadaElasticsearch
Saiba como o Elasticsearch combina com eficiência dados em um único armazenamento e como o Kibana é usado para analisá-los. Além disso, veja como os desenvolvimentos recentes ajudam a identificar e resolver problemas operacionais mais rapidamente.
Global Azure Bootcamp 2017 - Performance and Health Management for Modern App...Adin Ermie
A presentation covering 3 personas; Developers, IT Ops, and Network Administrator, and how they can work together leveraging the various management and monitoring toolsets in Azure.
This document provides an overview of Applications Manager, which is a tool that allows users to monitor applications, infrastructure, and user experience from a single console. It provides application performance monitoring, infrastructure monitoring, end user monitoring, and other features like automatic discovery, notifications, root cause analysis, and reporting. Applications Manager is used by IT operations, DevOps engineers, and others responsible for application performance. It supports monitoring of various technologies and vendors in both on-premise and cloud environments.
Encontrando la Aguja en el Rendimiento de AplicacionesSoftware Guru
En ocasiones resulta complicado entregar alta calidad de software con la velocidad que el mercado requiere. La propuesta de DevOps es mas allá de una metodología, un cambio cultural en la forma en que funcionan los equipos tanto de operación como de desarrollo, buscando aportar valor para la empresa mediante mejoras en el ciclo de vida de desarrollo y buscando un rendimiento optimo de las aplicaciones mediante herramientas tanto en la fase de desarrollo como de operación.
This document discusses the DevOps lifecycle and practices for improving software development and delivery. It outlines several DevOps models including WebOps, NoOps, and Enterprise DevOps. Key challenges discussed include long release cycles, lack of visibility, inconsistent incident tracking. Solutions proposed are reducing mean time to detect and repair issues through improved monitoring, diagnostics, and integration between development and operations teams. Continuous learning is also emphasized to prioritize investments based on data from customer usage and application health.
The document discusses how Splunk provides a platform for operational intelligence through machine data. It outlines Splunk's capabilities including collecting any machine data, powerful search and investigation tools, and proactive monitoring. Splunk accelerates value through apps that provide deep insights into specific technologies like Exchange, VMware, and storage. The document demonstrates how Splunk apps work through demos and discusses how customers are leveraging Splunk to reduce costs and gain operational visibility across their infrastructure.
The adoption of container native and cloud native development practices presents new operational challenges. Today’s microservice environments are polyglot, distributed, container-based, highly-scalable, and ephemeral. To understand your system, you need to be able to follow the life of a request across numerous components distributed in multiple environments. Without the proper tools it can feel impossible to determine a root cause of an issue. This requires a new approach to operations. We will review a series of open source observability tools for logging, monitoring, and tracing to help developers achieve operational excellence for running container-based workloads.
Connect Ops and Security with Flexible Web App and API ProtectionDevOps.com
Organizations continue to adopt container orchestration to drive efficiencies in their CI/CD pipelines. Given the current business climate with more employees working from home and consumers transacting more online, how can development and operations teams release at increasing velocity with protection baked in?
Connecting operations and security teams have not always been a smooth process: developers and operations staff are charged with site reliability, availability, and uptime while security staff is held responsible for securing an organization’s always-moving perimeter and valuable web layer assets. But the lines have started to blur between DevOps teams and security: you can’t guarantee uptime without baking effective application security tooling into your processes and infrastructure configurations.
A true next-generation, holistic web application and API protection platform does just that: operations teams can integrate security into their workflows and ensure new infrastructure and app code released to production is both effective and secure. Join application security experts Aneel Dadani and Orlando Barerra II from Signal Sciences to learn how your team can deploy at scale safely while gaining layer 7 visibility in production environments. Attendees will learn:
How to inspect web traffic in containers, at the API gateway, or the ingress
How DevOps teams can scale their application footprint to meet demand while securing your codebase in production
How development teams can gain visibility into how their apps and APIs are being used in production and what vulnerabilities may exist that they overlooked
Demo these application security concepts with Ansible, a simple yet powerful IT automation engine that companies use to accelerate DevOps initiatives, including baking application security into their infrastructure.
AWS re:Invent 2016: Effective Application Data Analytics for Modern Applicati...Amazon Web Services
IT is evolving from a cost center to a source of continuous innovation for business. At the heart of this transition are modern, revenue-generating applications, based on dynamic architectures that constantly evolve to keep pace with end-customer demands. This dynamic application environment requires a new, comprehensive approach to traditional monitoring – one based on real-time, end-to-end visibility and analytics across the entire application lifecycle and stack, instead of monitoring by piecemeal. This presentation highlights practical advice on how developers and operators can leverage data and analytics to glean critical information about their modern applications. In this session, we will cover the types of data important for today’s modern applications. We’ll discuss visibility and analytics into data sources such as AWS services (e.g., Amazon CloudWatch, AWS Lambda, VPC Flow Logs, Amazon EC2, Amazon S3, etc.), development tool chain, and custom metrics, and describe how to use analytics to understand business performance and behaviors. We discuss a comprehensive approach to monitoring, troubleshooting, and customer usage insights, provide examples of effective data analytics to improve software quality, and describe an end-to-end customer use case that highlights how analytics applies to the modern app lifecycle and stack. Session sponsored by Sumo Logic.
AWS Competency Partner
Building a centralized observability platformElasticsearch
Successful observability initiatives hinge on the platform teams that manage centralised tooling and frameworks. See how Elastic Observability empowers them to create centres of excellence (and deliver on observability as a service) with features like central management for agents, automated log categorisation, index lifecycle management, and searchable snapshots.
SoCal DevOps Meetup 1/26/2017 - Habitat by ChefTrevor Hess
The document discusses Habitat, a tool for building and managing applications. It provides an overview of Habitat and how it makes containers better by allowing applications to declare dependencies and resolve them from the application to infrastructure for a minimum viable OS. The document also demonstrates Habitat's approach through examples of building immutable infrastructure that allows last mile configuration changes, decoupling application builds from final containers, and orchestrating application launch order and topology.
Application-aware Network Performance Management (AANPM) practices and products provide detailed insights into exactly who is using which resources, what quality of experience is taking place, and where to look when things go wrong. Such information can significantly improve planning, monitoring, and troubleshooting efforts.
But which are the best options when it comes to planning out an AANPM strategy? Which sources of data offer the most cost-efficient results? How can complex, widely distributed networks be accommodated, particularly when users are far removed from the application servers? And where is the best place to start?
These slides will reveal:
*Key goals and objectives of AANPM
*Choosing the right sources of AANPM data
*Achieving true end-to-end AANPM, from core to remote site including the access layer
*AANPM features and capabilities having the broadest impact and delivering the most value
Splunk is a time-series data platform that handles the three V's of data (volume, velocity, and variety) very well. It collects, indexes, and allows searching and analysis of data. Splunk can collect data from files, directories, network ports, programs/scripts, and databases. It breaks data down into searchable events and builds a high-performance index. This allows users to search, manipulate, and visualize data in reports, charts, and dashboards. Splunk can analyze structured, unstructured, and multistructured data from various sources like logs, networks, clicks, and more.
Debugging and Interacting with Production Applications - MS Online Tech ForumDavide Benvegnù
[SLIDE FROM MICROSOFT ONLINE TECH FORUM SESSION]
Now that the applications are in the Cloud, developers must find ways to debug and interact with the production applications with minimal impact and maximal efficiency.
Azure comes with a full set of tools and utilities that can be used to manage and monitor your applications.
In this session, see how streaming logs work to monitor the production application in real time. We also show how Snapshot Debugging can be used to live debug applications.
The 12-Factor App methodology defines best practices for building software-as-a-service (SaaS) apps. It promotes apps that are highly scalable and portable by being self-contained and having their dependencies explicitly defined. The 12 factors cover aspects like codebase, dependencies, configuration, backing services, build and release processes, concurrency, disposability, development and production parity, and administrative tasks. Following the methodology helps apps maximize agility, reliability, and developability.
Debugging and interacting with production applicationsMichel HUBERT
This document discusses debugging and monitoring applications in Microsoft Azure. It provides an overview of Azure Monitor, which offers unified monitoring of metrics, logs and other telemetry across infrastructure, applications and networks. Azure Monitor uses machine learning capabilities to provide data-driven insights. It also integrates with popular DevOps, issue management and IT security tools. Application Insights is highlighted as a key part of Azure Monitor for application monitoring and analytics. It provides visibility into applications, insights to find and fix problems, and helps with optimization. Features like instant analytics, integrations with DevOps tools, app mapping and correlated tracing are discussed. Snapshot debugging and deployment slots in Azure are also summarized.
Operations: Production Readiness Review – How to stop bad things from HappeningAmazon Web Services
The document provides an overview of key areas to review for production readiness including architecture design, monitoring, logging, documentation, alerting, service level agreements, expected throughput, testing, and deployment strategy. It summarizes best practices and considerations for each area such as using circuit breakers in monitoring, consistent logging formats, storing documentation near code, automating level 1 operations, and strategies for testing, deployments, and managing error budgets.
ATAGTR2017 Unified APM: The new age performance monitoring for production sys...Agile Testing Alliance
The presentation on Unified APM: The new age performance monitoring for production systems was done during #ATAGTR2017, one of the largest global testing conference. All copyright belongs to the author.
Author and presenter : Kaushik Raghavan
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Storing such huge event streams into HDFS or a NoSQL datastore is feasible and not such a challenge anymore. But if you want to be able to react fast, with minimal latency, you can not afford to first store the data and doing the analysis/analytics later. You have to be able to include part of your analytics right after you consume the event streams. Products for doing event processing, such as Oracle Event Processing or Esper, are avaialble for quite a long time and also used to be called Complex Event Processing (CEP). In the last 3 years, another family of products appeared, mostly out of the Big Data Technology space, called Stream Processing or Streaming Analytics. These are mostly open source products/frameworks such as Apache Storm, Spark Streaming, Apache Samza as well as supporting infrastructures such as Apache Kafka. In this talk I will present the theoretical foundations for Event and Stream Processing and present what differences you might find between the more traditional CEP and the more modern Stream Processing solutions and show that a combination will bring the most value.
The Need for AppOps in the Dynamic Data Center and CloudAppFirst
APM (Application Performance Management) traditionally focused on DevOps tools which help developers supporting custom code find issues within that code.
New APM solutions are needed that work for every application and help the Ops team support every application in production
Therefore, a new category is needed. This new category of solutions is called Application Operations or AppOps. Focused on Operations staff who are responsible for supporting all physical, virtual & cloud applications, running across every platform, and every source. The key attributes: ability to measure performance of every application in production and find problems in the infrastructure.
Similar to Elastic APM: amplificação dos seus logs e métricas para proporcionar um panorama completo (20)
An introduction to Elasticsearch's advanced relevance ranking toolboxElasticsearch
The hallmark of a great search experience is always delivering the most relevant results, quickly, to every user. The difficulty lies behind the scenes in making that happen elegantly and at a scale. From App Search’s intuitive drag and drop interface to the advanced relevance capabilities built into the core of Elasticsearch — Elastic offers a range of tools for developers to tune relevance ranking and create incredible search experiences. In this session, we’ll explore some of Elasticsearch’s advanced relevance ranking features, such as dense vector fields, BM25F, ranking evaluation, and more. Plus we’ll give you some ideas for how these features are being used by other Elastic users to create world-class, category defining search experiences.
Eze Castle Integration is a managed service provider (MSP), cloud service provider (CSP), and internet service provider (ISP) that delivers services to more than 1,000 clients around the world. Different departments within Eze Castle have devised their own log aggregation solutions in order to provide visibility, meet regulatory compliance requirements, conduct cybersecurity investigations, and help engineers with troubleshooting infrastructure issues. In 2019, they partnered with Elastic to consolidate the data generated from different systems into a single pane of glass. And thanks to the ease of deployment on Elastic Cloud, professional consultation services from Elastic engineers, and on-demand training courses available on Elastic Learning, Eze Castle was able to go from proof-of-concept to a fully functioning ""Eze Managed SIEM"" product within a month!
Learn about Eze Castle's journey with Elastic and how they grew Eze Managed SIEM from zero to 100 customers In less than 14 months.
Cómo crear excelentes experiencias de búsqueda en sitios webElasticsearch
Descubre lo fácil que es crear búsquedas relevantes y enriquecidas en sitios web de cara al público para impulsar las conversiones, incrementar el consumo de contenido y ayudar a los visitantes a encontrar lo que necesitan. Realiza un recorrido por las herramientas de Elastic a las que puedes sacar partido para transformar con facilidad tu sitio web, lo que incluye nuestro nuevo y potente rastreador web.
Te damos la bienvenida a una nueva forma de realizar búsquedas Elasticsearch
1) The document introduces ElasticON Solution Series, which provides out-of-the-box personalized, centralized, and secure organizational search across internal and external sources.
2) It discusses how Elastic Enterprise Search can improve productivity, satisfaction, collaboration, and decision making by connecting all applications and content with a single scalable search platform.
3) The solution achieves this through intuitive search features, powerful analytics and visualization tools, simplified administration, and security certifications to ensure data protection.
Tirez pleinement parti d'Elastic grâce à Elastic CloudElasticsearch
Découvrez pourquoi Elastic Cloud est la solution idéale pour exploiter toutes les offres d'Elastic. Bénéficiez d'une flexibilité d'achat et de déploiement au sein de Google Cloud, de Microsoft Azure, d'Amazon Web Services ou des trois à la fois. Apprenez quels avantages vous apporte une offre de service géré et déterminez la solution qui vous permet de la gérer par vous-même grâce à des outils intégrés d'automatisation et d'orchestration. Et ce n'est pas tout ! Familiarisez-vous avec les fonctionnalités qui peuvent vous aider à scaler vos opérations au fur et à mesure de l'évolution de votre déploiement, à stocker vos données d'une manière rentable et à optimiser vos recherches. Ainsi, vous n'aurez plus à abandonner de données et obtiendrez les informations exploitables dont vous avez besoin pour assurer le fonctionnement de votre entreprise.
Comment transformer vos données en informations exploitablesElasticsearch
Découvrez des fonctionnalités stratégiques de la Suite Elastic, notamment Elasticsearch, un moteur de données incomparable, et Kibana, véritable fenêtre ouverte sur la Suite Elastic.
Dans cette session, vous apprendrez à :
injecter des données dans la Suite Elastic ;
stocker des données ;
analyser des données ;
exploiter des données.
Plongez au cœur de la recherche dans tous ses états.Elasticsearch
À l'instar de la plupart des entreprises modernes, vos équipes utilisent probablement plus de 10 applications hébergées dans le cloud chaque jour, mais passent aussi bien trop de temps à chercher les informations dont elles ont besoin dans ces outils. Grâce aux fonctionnalités prêtes à l'emploi d'Elastic Workplace Search, découvrez combien il est facile de mettre le contenu pertinent à portée de la main de vos équipes grâce à une recherche unifiée sur l'ensemble des applications qu'elles utilisent pour faire leur travail.
Modernising One Legal Se@rch with Elastic Enterprise Search [Customer Story]Elasticsearch
Knowledge management needs in the legal sector, why Linklaters decided to move away from its legacy KM search engine, Kin+Carta's management of the migration process, and how the switch revitalised a well-established system and opened up new possibilities for its future development.
An introduction to Elasticsearch's advanced relevance ranking toolboxElasticsearch
The hallmark of a great search experience is always delivering the most relevant results, quickly, to every user. The difficulty lies behind the scenes in making that happen elegantly and at a scale. From App Search’s intuitive drag and drop interface to the advanced relevance capabilities built into the core of Elasticsearch — Elastic offers a range of tools for developers to tune relevance ranking and create incredible search experiences. In this session, we’ll explore some of Elasticsearch’s advanced relevance ranking features, such as dense vector fields, BM25F, ranking evaluation, and more. Plus we’ll give you some ideas for how these features are being used by other Elastic users to create world-class, category defining search experiences.
Like most modern organizations, your teams are likely using upwards of 10 cloud-based applications on a daily basis, but spending far too many hours a day searching for the information they need across all of them. With the out-of-the-box capabilities of Elastic Workplace Search, see how easy it is to put relevant content right at your teams’ fingertips with unified search across all the apps they rely on to get work done.
Building great website search experiencesElasticsearch
Discover how easy it is to create rich, relevant search on public facing websites that drives conversion, increases content consumption, and helps visitors find what they need. Get a tour of the Elastic tools you can leverage to easily transform your website, including our powerful new web crawler.
Keynote: Harnessing the power of Elasticsearch for simplified searchElasticsearch
Get an overview of the innovation Elastic is bringing to the Enterprise Search landscape, and learn how you can harness these capabilities across your technology landscape to make the power of search work for you.
Cómo transformar los datos en análisis con los que tomar decisionesElasticsearch
Descubre las áreas de características estratégicas de Elastic Stack: Elasticsearch, un motor de datos inigualable y Kibana, la ventana que da acceso a Elastic Stack.
En la sesión hablaremos sobre:
Cómo incorporar datos a Elastic Stack
Almacenamiento de datos
Análisis de los datos
Actuar en función de los datos
Explore relève les défis Big Data avec Elastic Cloud Elasticsearch
Spécialisée dans le développement et la gestion de solutions de veille documentaire et commerciale, Explore offre à ses clients une lecture précise et organisée de l’actualités des marchés et projets sur leurs territoires d'intervention. Afin de rendre leur offre plus agile et performante, Explore a choisi l’offre Elastic Cloud hébergée sur Microsoft Azure. Découvrez comment les équipes de production et de développement sont désormais en mesure de mieux exploiter les données pour les clients d’Explore et gagnent du temps sur la gestion de leur infrastructure.
Comment transformer vos données en informations exploitablesElasticsearch
Découvrez des fonctionnalités stratégiques de la Suite Elastic, notamment Elasticsearch, un moteur de données incomparable, et Kibana, véritable fenêtre ouverte sur la Suite Elastic.
Dans cette session, vous apprendrez à :
injecter des données dans la Suite Elastic ;
stocker des données ;
analyser des données ;
exploiter des données.
Transforming data into actionable insightsElasticsearch
Learn about the strategic feature areas of the Elastic Stack—Elasticsearch, a data engine like no other, and Kibana, the window into the Elastic Stack.
The session will cover:
Bringing data into the Elastic Stack
Storing data
Analyzing data
Acting on data
"Elastic enables the world’s leading organization to exceed their business objectives and power their mission-critical systems by eliminating data silos, connecting the dots, and transforming data of all types into actionable insights.
Come learn how the power of search can help you quickly surface relevant insights at scale. Whether you are an executive looking to reduce operational costs, a department head striving to do more with fewer tools, or engineer monitoring and protecting your IT environment, this session is for you. "
Empowering agencies using Elastic as a Service inside GovernmentElasticsearch
It has now been four years since the beta release of Elastic Cloud Enterprise which kicked off a wave of the Elastic public sector community running Elastic as a service within Government rather than utilizing purely hosted solutions. Fast forward to 2021 and we have multiple options for multiple mission needs. Learn top tips from Elastic architects and their experience enabling their teams with the automation and provisioning of Elastic tech to change the game in how government delivers solutions.
The opportunities and challenges of data for public goodElasticsearch
The document discusses data for public good and the opportunities and challenges involved. It notes that data infrastructure is needed to deliver public good through data. There are almost endless opportunities to use data for public services, policy, and citizen benefits. However, challenges include legacy systems, data silos, unclear governance, and risk aversion. As a case study, it outlines how the UK Census 2021 addressed index faced challenges but showed progress on using data better, with lessons for continued public sector transformation.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
6. Optimize service for the business
• Availability monitoring
• Key performance indicators - latency,
load, errors
• Real users, front-end services,
back-end services, microservices
• Broad language and framework
support
End-to-end app and
service monitoring
8. Machine learning
One-click integrations with machine learning from APM
• Ability to create response time
based ML jobs from APM
‒ Profiles response time to
calculate anomalies
‒ Takes into account
seasonality
14. Root cause analysis
in context
Solve problems faster
• Distributed traces for application
debugging
– Open standards support
• Unified observability
– Metrics and logs in context
– Diagnose infrastructure and/or
application problems quickly
• Powerful search to find ‘needles in
the haystack’
15. Same Response,
Different Experience
What happens in the browser
• What happens once that request
reaches the end user’s device?
• The impact of user experience on
business outcomes
• Third Party Javascript
• Is it up? Or is it functioning?
17. Flexible deployment options
On-premises, cloud, cloud native, multi-cloud
Deploy instantly on AWS,
Azure or Google Cloud
Install a single package
Elastic Cloud Elastic Cloud on
Kubernetes
Elastic Cloud
Enterprise
Centrally manage multiple
deployments on your infra
Self-Managed
18. Flexible agent deployment
How it works & how to find info
• Native libraries for 7 different
languages
‒ Extensive instrumentation
support across the different
ecosystems inclusive of full stack
technologies (front end to the
back end)
• Support for OpenTracing, Jaeger and
OpenTelemetry
19. DevOps collaboration
• Track the performance of
applications with code deploys
• Annotations on all APM charts
available to quickly spot performance
changes post a new deployment
• Search filtering out versions
Tie performance issues to deployments