Quarta puntata del MuleSoft Meetup di Milano - 22 Luglio 2021
Approfondiremo insieme a Giacomo che opzioni abbiamo per esternalizzare i log di Mule e con Gonzalo vedremo in dettaglio il modulo di Advanced Monitoring e le differenze fra le sottoscrizioni Platinum e Titanium.
What is observability and how is it different from traditional monitoring? How do we effectively monitor and debug complex, elastic microservice architectures? In this interactive discussion, we’ll answer these questions. We’ll also introduce the idea of an “observability pipeline” as a way to empower teams following DevOps practices. Lastly, we’ll demo cloud-native observability tools that fit this “observability pipeline” model, including Fluentd, OpenTracing, and Jaeger.
How deeply can you understand what is happening inside your application? In modern, microservices-based applications, it’s critical to have end-to-end observability of each component and the communications between them in order to quickly identify and debug issues. In this session, we show how to have the necessary instrumentation and how to use the data you collect to have a better grasp of your production environment. On AWS, CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services. With AWS X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. X-Ray provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components. AWS App Mesh standardizes how your microservices communicate, giving you end-to-end visibility and helping to ensure high-availability for your applications.
Observability – the good, the bad, and the uglyTimetrix
This document discusses observability and incident management. It notes that incidents are expensive and reduce credibility. Common causes of outages include changes, network failures, bugs, human errors, hardware failures, and unspecified issues. The timeline of an outage includes detection, investigation, escalation, and fixing. Many companies have a "zoo" of monitoring solutions that are difficult to manage. Common anti-patterns include an exponential growth of metrics that nobody understands. The document advocates focusing on key performance indicator metrics and using time-series databases, distributed tracing, and machine learning to more quickly detect anomalies and reduce incident timelines. It describes an open source project called Timetrix that combines metrics, events and traces for improved observability.
Explore case studies from our most demanding deployments and provide a best practice approach to designing and tuning applications for optimal performance.
How to Move from Monitoring to Observability, On-Premises and in a Multi-Clou...Splunk
With the acceleration of customer and business demands, site reliability engineers and IT Ops analysts now require operational visibility into their entire architecture, something that traditional APM tools, dev logging tools, and SRE tools aren’t equipped to provide. Observability enables you to inspect and understand your IT stack on premises and in the cloud(s); It’s no longer about whether your system works (monitoring), but being able to task why it is not working? (Observability). This presentation will outline key steps to take to move from monitoring to observability.
This document provides an overview of setting up monitoring for MySQL and MongoDB servers using Prometheus and Grafana. It discusses installing and configuring Prometheus, Grafana, exporters for collecting metrics from MySQL, MongoDB and systems, and dashboards for visualizing the metrics in Grafana. The tutorial hands-on sets up Prometheus and Grafana in two virtual machines to monitor a MySQL master-slave replication setup and MongoDB cluster.
What is observability and how is it different from traditional monitoring? How do we effectively monitor and debug complex, elastic microservice architectures? In this interactive discussion, we’ll answer these questions. We’ll also introduce the idea of an “observability pipeline” as a way to empower teams following DevOps practices. Lastly, we’ll demo cloud-native observability tools that fit this “observability pipeline” model, including Fluentd, OpenTracing, and Jaeger.
How deeply can you understand what is happening inside your application? In modern, microservices-based applications, it’s critical to have end-to-end observability of each component and the communications between them in order to quickly identify and debug issues. In this session, we show how to have the necessary instrumentation and how to use the data you collect to have a better grasp of your production environment. On AWS, CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services. With AWS X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. X-Ray provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components. AWS App Mesh standardizes how your microservices communicate, giving you end-to-end visibility and helping to ensure high-availability for your applications.
Observability – the good, the bad, and the uglyTimetrix
This document discusses observability and incident management. It notes that incidents are expensive and reduce credibility. Common causes of outages include changes, network failures, bugs, human errors, hardware failures, and unspecified issues. The timeline of an outage includes detection, investigation, escalation, and fixing. Many companies have a "zoo" of monitoring solutions that are difficult to manage. Common anti-patterns include an exponential growth of metrics that nobody understands. The document advocates focusing on key performance indicator metrics and using time-series databases, distributed tracing, and machine learning to more quickly detect anomalies and reduce incident timelines. It describes an open source project called Timetrix that combines metrics, events and traces for improved observability.
Explore case studies from our most demanding deployments and provide a best practice approach to designing and tuning applications for optimal performance.
How to Move from Monitoring to Observability, On-Premises and in a Multi-Clou...Splunk
With the acceleration of customer and business demands, site reliability engineers and IT Ops analysts now require operational visibility into their entire architecture, something that traditional APM tools, dev logging tools, and SRE tools aren’t equipped to provide. Observability enables you to inspect and understand your IT stack on premises and in the cloud(s); It’s no longer about whether your system works (monitoring), but being able to task why it is not working? (Observability). This presentation will outline key steps to take to move from monitoring to observability.
This document provides an overview of setting up monitoring for MySQL and MongoDB servers using Prometheus and Grafana. It discusses installing and configuring Prometheus, Grafana, exporters for collecting metrics from MySQL, MongoDB and systems, and dashboards for visualizing the metrics in Grafana. The tutorial hands-on sets up Prometheus and Grafana in two virtual machines to monitor a MySQL master-slave replication setup and MongoDB cluster.
Observability has emerged as one of the hottest topics on the DevOps landscape. Organizations seek to improve visibility into their cloud infrastructure and applications and identify production issues that may negatively impact #customerexperience.
➡️ But what are some of the best practices for scaling observability for modernapplications?
➡️ What challenges are #cloudplatforms facing?
Explore how to overcome the challenges and unlock speed, observability, and automation across your DevOps lifecycle.
This document discusses operations, monitoring, and observability. It provides an overview of each topic. For operations, it describes different models from manual to proactive. For monitoring, it explains that the goal is to understand what is broken and why by looking at symptoms and causes. It also discusses monitoring methodologies like using key metrics and thresholds. For observability, it defines it as understanding a system more fully by capturing metrics, events, and traces. It explains the three pillars of observability - metrics, logging, and tracing - and how they provide visibility into reliability, bottlenecks, and request flows.
APM is a tool that monitors application performance and user experience by tracking metrics like load and KPIs. It allows seeing how applications are used by real users and identifying problems that impact sales or brand experience. Observability aggregates data from logs, metrics, and traces to assess overall system health, while APM directly focuses on gauging user experience. Both ensure good user experience but in different ways - APM actively collects data related to response time, while observability passively examines various data sources. Monitoring tracks predefined metrics over time to understand system status, but observability analyzes related data to determine the root cause of issues.
Is your company built on software? How do you know if your customer's experience is slow and sucks? How do you debug slowness or troubleshoot an incident? Observability! David Mitchell, VP of Engineering at Datadog will talk to use about Observability, why it's important, what it is and how Datadog helps reduce toil in your environment.
GDG Cloud Southlake #13
Monitoring involves collecting logs, metrics and alerts to detect issues, while observability provides insight into internal system states. The presenter faced problems determining causes of performance drops. They will discuss starting with monitoring basics like logging, tracing and metrics. They will then explain how to transition to domain-oriented observability through techniques like aspect-oriented programming to better understand the system. Observability aims to answer any questions about internal states using monitoring tools.
In this presentation we take a classic example of when we have both traditional databases like Salesforce, SAP, and MySQL, and big data databases that deal with a huge amount of data that would not be possible to do using the traditional databases. Leveraging Anypoint Platform and the relevant connectors, you can start innovating without the complexity that is usually associated with Big Data.
Do You Really Need to Evolve From Monitoring to Observability?Splunk
The document discusses the concepts of monitoring and observability. It defines observability as focusing on what can't be seen or the unknowns in a system. Observability provides visibility into the state of applications, systems, and services through logs, metrics, and traces to understand problems and take actions. The document then summarizes SignalFx's approach to observability, which combines metrics, traces, and logs in a streaming architecture to provide insights in seconds and help troubleshoot issues.
Session on API auto scaling, monitoring and Log managementpqrs1234
API Autoscaling
When to configure
How to configure
Points to be noted while configuring
Anypoint Monitoring Overview
Advantages and uses
Built-in dashboards
Custom dashboards
Reports
Alerts
Functional Monitoring
Log Management
Log Search
Log Points
Log Download
The document discusses observability for modern applications. It describes observability as a measure of how well internal states of a system can be inferred from external outputs. It outlines three pillars of observability: event logs, metrics, and tracing. It provides examples of how AWS services like CloudWatch, CloudWatch Logs, and AWS X-Ray can be used to gain observability. It also discusses key concepts like segments, subsegments, and service maps for tracing and provides code examples for instrumenting applications to generate metrics and traces.
Observability, Distributed Tracing, and Open Source: The Missing PrimerVMware Tanzu
Open source tools like OpenTelemetry, OpenTracing, and W3C Trace Context are helping to standardize distributed tracing and observability. This allows developers to understand problems in microservices architectures by propagating unique trace IDs and collecting metrics and traces across services. While open source tools are useful for development and pre-production, commercial solutions are needed to handle production workloads at scale with additional features like access control and automated instrumentation. Standardization through open source is key to managing today's complexity in distributed systems.
More Than Monitoring: How Observability Takes You From Firefighting to Fire P...DevOps.com
For some, observability is just a hollow rebranding of monitoring, for others it’s monitoring on steroids. But what if we told you observability is the new way to find out why—not just if—your distributed system or application isn’t working as expected? Today, we see that traditional monitoring approaches can fall short if a system or application doesn’t adequately externalize its state.
This is truer as workloads move into the cloud and leverage ephemeral technologies, such as microservices and containers. To reach observability, IT and DevOps teams need to correlate different sources from logs, metrics, traces, events and more. This becomes even more challenging when defining the online revenue impact of a failed container—after all, this is what really matters to the business.
This webinar will cover:
The differences between observability and monitoring
Why it is a bigger challenge in a multicloud and containerized world
How observability results in less firefighting and more fire prevention
How new platforms can help gain observability (on premises and in the cloud) for containers, microservices and even SAP or mainframes
Mule 4 Migration Planning by Anu Vijayamohan
Integration Challenges by Angel Alberici
Host: Angel Alberici
Youtube: Virtual Muleys (https://www.youtube.com/c/VirtualMuleysOnline/videos)
Mule 4 Migration Planning
This session is for Consultants, Developers, Engineers and Architects who want to understand what the benefits of Mule 4 are and how to plan their migration ahead of the Mule 3.8 End of Life deadlines.
In this session we will discuss:
Mule 4 Benefits
Product EOL - Implications of not migrating
Where and How do I start?
Migration Planning & Decision Guides
Enablement and Customer Adoption
Mule Migration Assistant
After this session, you will have a better understanding of how to plan a successful migration to Mule 4
Integration Challenges
Top common technical integration challenges that he keeps seeing when working with customers
The document discusses monitoring and observability concepts. It defines key terms like measurement, metric, visualization, trending, alerting, and anomaly detection. It discusses different monitoring approaches like active checks using tools like cURL and PhantomJS, as well as passive monitoring using analytics tools. The document emphasizes the importance of monitoring business metrics over technical metrics and provides examples of synthetic and real data monitoring for different data velocities.
This document discusses concepts related to observability including Prometheus, ELK stack, OpenTracing, and Victoria Metrics. It provides examples of setting up Prometheus and Grafana to monitor metrics from applications instrumented with exporters. It also demonstrates setting up Filebeat, Logstash and Elasticsearch (ELK stack) to monitor logs and send them to Elasticsearch. Additionally, it shows how to implement OpenTracing in a Java application and visualize traces using Jaeger. Finally, it outlines an exercise to build a microservices ecommerce application incorporating logging, metrics and tracing using the discussed tools.
Observability refers to the ability to infer the internal state of a system from its external outputs. It is a property of the system, not an action like monitoring. For a system to be observable, it must externalize its state through logs, metrics, and events. Improving observability involves monitoring all components of an application from the front-end to backend services to infrastructure. Common metrics include requests processed, errors encountered, and response times for applications as well as CPU usage, disk I/O, and network traffic for infrastructure. Observability extends monitoring by helping understand why a system is not working in addition to whether it is working.
Prometheus is an open-source monitoring system that collects metrics from instrumented systems and applications and allows for querying and alerting on metrics over time. It is designed to be simple to operate, scalable, and provides a powerful query language and multidimensional data model. Key features include no external dependencies, metrics collection by scraping endpoints, time-series storage, and alerting handled by the AlertManager with support for various integrations.
Datadog is a cloud monitoring solution that brings metrics from all of your apps, tools, servers & services into one place. It brings servers, clouds, metrics, apps, and team together by seamlessly aggregating metrics and events across the full devops stack.
The document discusses Anypoint Monitoring and logging capabilities available with different Anypoint Platform subscription tiers. It provides an overview of features included in Gold, Platinum and Titanium subscriptions such as application performance monitoring, log management, custom metrics and events. It describes the various monitoring features in detail including application metrics, flow metrics, connector metrics, reports, log search capabilities, custom dashboards, and dedicated vs shared monitoring infrastructure. The document also provides examples of integrating Anypoint Platform logs with log management solutions like ELK and demonstrates log centralization using CloudHub and on-premise runtimes.
The document compares the features of Anypoint Monitoring across different subscription tiers (Gold, Platinum, Titanium). Platinum provides basic monitoring capabilities like custom dashboards and application metrics. Titanium provides more advanced features like dedicated monitoring infrastructure, log management, custom metrics and events. It allows collecting data at high frequency, increased data storage, and custom data retention policies. The document also provides details on various monitoring capabilities like application performance monitoring, log management, and custom metrics and events.
Observability has emerged as one of the hottest topics on the DevOps landscape. Organizations seek to improve visibility into their cloud infrastructure and applications and identify production issues that may negatively impact #customerexperience.
➡️ But what are some of the best practices for scaling observability for modernapplications?
➡️ What challenges are #cloudplatforms facing?
Explore how to overcome the challenges and unlock speed, observability, and automation across your DevOps lifecycle.
This document discusses operations, monitoring, and observability. It provides an overview of each topic. For operations, it describes different models from manual to proactive. For monitoring, it explains that the goal is to understand what is broken and why by looking at symptoms and causes. It also discusses monitoring methodologies like using key metrics and thresholds. For observability, it defines it as understanding a system more fully by capturing metrics, events, and traces. It explains the three pillars of observability - metrics, logging, and tracing - and how they provide visibility into reliability, bottlenecks, and request flows.
APM is a tool that monitors application performance and user experience by tracking metrics like load and KPIs. It allows seeing how applications are used by real users and identifying problems that impact sales or brand experience. Observability aggregates data from logs, metrics, and traces to assess overall system health, while APM directly focuses on gauging user experience. Both ensure good user experience but in different ways - APM actively collects data related to response time, while observability passively examines various data sources. Monitoring tracks predefined metrics over time to understand system status, but observability analyzes related data to determine the root cause of issues.
Is your company built on software? How do you know if your customer's experience is slow and sucks? How do you debug slowness or troubleshoot an incident? Observability! David Mitchell, VP of Engineering at Datadog will talk to use about Observability, why it's important, what it is and how Datadog helps reduce toil in your environment.
GDG Cloud Southlake #13
Monitoring involves collecting logs, metrics and alerts to detect issues, while observability provides insight into internal system states. The presenter faced problems determining causes of performance drops. They will discuss starting with monitoring basics like logging, tracing and metrics. They will then explain how to transition to domain-oriented observability through techniques like aspect-oriented programming to better understand the system. Observability aims to answer any questions about internal states using monitoring tools.
In this presentation we take a classic example of when we have both traditional databases like Salesforce, SAP, and MySQL, and big data databases that deal with a huge amount of data that would not be possible to do using the traditional databases. Leveraging Anypoint Platform and the relevant connectors, you can start innovating without the complexity that is usually associated with Big Data.
Do You Really Need to Evolve From Monitoring to Observability?Splunk
The document discusses the concepts of monitoring and observability. It defines observability as focusing on what can't be seen or the unknowns in a system. Observability provides visibility into the state of applications, systems, and services through logs, metrics, and traces to understand problems and take actions. The document then summarizes SignalFx's approach to observability, which combines metrics, traces, and logs in a streaming architecture to provide insights in seconds and help troubleshoot issues.
Session on API auto scaling, monitoring and Log managementpqrs1234
API Autoscaling
When to configure
How to configure
Points to be noted while configuring
Anypoint Monitoring Overview
Advantages and uses
Built-in dashboards
Custom dashboards
Reports
Alerts
Functional Monitoring
Log Management
Log Search
Log Points
Log Download
The document discusses observability for modern applications. It describes observability as a measure of how well internal states of a system can be inferred from external outputs. It outlines three pillars of observability: event logs, metrics, and tracing. It provides examples of how AWS services like CloudWatch, CloudWatch Logs, and AWS X-Ray can be used to gain observability. It also discusses key concepts like segments, subsegments, and service maps for tracing and provides code examples for instrumenting applications to generate metrics and traces.
Observability, Distributed Tracing, and Open Source: The Missing PrimerVMware Tanzu
Open source tools like OpenTelemetry, OpenTracing, and W3C Trace Context are helping to standardize distributed tracing and observability. This allows developers to understand problems in microservices architectures by propagating unique trace IDs and collecting metrics and traces across services. While open source tools are useful for development and pre-production, commercial solutions are needed to handle production workloads at scale with additional features like access control and automated instrumentation. Standardization through open source is key to managing today's complexity in distributed systems.
More Than Monitoring: How Observability Takes You From Firefighting to Fire P...DevOps.com
For some, observability is just a hollow rebranding of monitoring, for others it’s monitoring on steroids. But what if we told you observability is the new way to find out why—not just if—your distributed system or application isn’t working as expected? Today, we see that traditional monitoring approaches can fall short if a system or application doesn’t adequately externalize its state.
This is truer as workloads move into the cloud and leverage ephemeral technologies, such as microservices and containers. To reach observability, IT and DevOps teams need to correlate different sources from logs, metrics, traces, events and more. This becomes even more challenging when defining the online revenue impact of a failed container—after all, this is what really matters to the business.
This webinar will cover:
The differences between observability and monitoring
Why it is a bigger challenge in a multicloud and containerized world
How observability results in less firefighting and more fire prevention
How new platforms can help gain observability (on premises and in the cloud) for containers, microservices and even SAP or mainframes
Mule 4 Migration Planning by Anu Vijayamohan
Integration Challenges by Angel Alberici
Host: Angel Alberici
Youtube: Virtual Muleys (https://www.youtube.com/c/VirtualMuleysOnline/videos)
Mule 4 Migration Planning
This session is for Consultants, Developers, Engineers and Architects who want to understand what the benefits of Mule 4 are and how to plan their migration ahead of the Mule 3.8 End of Life deadlines.
In this session we will discuss:
Mule 4 Benefits
Product EOL - Implications of not migrating
Where and How do I start?
Migration Planning & Decision Guides
Enablement and Customer Adoption
Mule Migration Assistant
After this session, you will have a better understanding of how to plan a successful migration to Mule 4
Integration Challenges
Top common technical integration challenges that he keeps seeing when working with customers
The document discusses monitoring and observability concepts. It defines key terms like measurement, metric, visualization, trending, alerting, and anomaly detection. It discusses different monitoring approaches like active checks using tools like cURL and PhantomJS, as well as passive monitoring using analytics tools. The document emphasizes the importance of monitoring business metrics over technical metrics and provides examples of synthetic and real data monitoring for different data velocities.
This document discusses concepts related to observability including Prometheus, ELK stack, OpenTracing, and Victoria Metrics. It provides examples of setting up Prometheus and Grafana to monitor metrics from applications instrumented with exporters. It also demonstrates setting up Filebeat, Logstash and Elasticsearch (ELK stack) to monitor logs and send them to Elasticsearch. Additionally, it shows how to implement OpenTracing in a Java application and visualize traces using Jaeger. Finally, it outlines an exercise to build a microservices ecommerce application incorporating logging, metrics and tracing using the discussed tools.
Observability refers to the ability to infer the internal state of a system from its external outputs. It is a property of the system, not an action like monitoring. For a system to be observable, it must externalize its state through logs, metrics, and events. Improving observability involves monitoring all components of an application from the front-end to backend services to infrastructure. Common metrics include requests processed, errors encountered, and response times for applications as well as CPU usage, disk I/O, and network traffic for infrastructure. Observability extends monitoring by helping understand why a system is not working in addition to whether it is working.
Prometheus is an open-source monitoring system that collects metrics from instrumented systems and applications and allows for querying and alerting on metrics over time. It is designed to be simple to operate, scalable, and provides a powerful query language and multidimensional data model. Key features include no external dependencies, metrics collection by scraping endpoints, time-series storage, and alerting handled by the AlertManager with support for various integrations.
Datadog is a cloud monitoring solution that brings metrics from all of your apps, tools, servers & services into one place. It brings servers, clouds, metrics, apps, and team together by seamlessly aggregating metrics and events across the full devops stack.
The document discusses Anypoint Monitoring and logging capabilities available with different Anypoint Platform subscription tiers. It provides an overview of features included in Gold, Platinum and Titanium subscriptions such as application performance monitoring, log management, custom metrics and events. It describes the various monitoring features in detail including application metrics, flow metrics, connector metrics, reports, log search capabilities, custom dashboards, and dedicated vs shared monitoring infrastructure. The document also provides examples of integrating Anypoint Platform logs with log management solutions like ELK and demonstrates log centralization using CloudHub and on-premise runtimes.
The document compares the features of Anypoint Monitoring across different subscription tiers (Gold, Platinum, Titanium). Platinum provides basic monitoring capabilities like custom dashboards and application metrics. Titanium provides more advanced features like dedicated monitoring infrastructure, log management, custom metrics and events. It allows collecting data at high frequency, increased data storage, and custom data retention policies. The document also provides details on various monitoring capabilities like application performance monitoring, log management, and custom metrics and events.
Quarta puntata del MuleSoft Meetup di Milano - 22 Luglio 2021
Approfondiremo insieme a Giacomo che opzioni abbiamo per esternalizzare i log di Mule e con Gonzalo vedremo in dettaglio il modulo di Advanced Monitoring e le differenze fra le sottoscrizioni Platinum e Titanium.
Meetup Milano - https://meetups.mulesoft.com/events/d...
Agenda
6:00 PM Check-in e benvenuto (Caterina Bonanno, Giacomo Bartoloni e Gonzalo Marcos)
6:15 PM Come esternalizzare i log di Mule (Giacomo Bartoloni)
6:50 PM Advanced Monitoring e Titanium (Gonzalo Marcos)
7:20 PM Q&A and Wrap Up
Dreamforce 2017 - Advanced Logging Patterns with Platform Eventsandyinthecloud
Platform Events provide a means to send notifications from your code without fear of rollback, making them an ideal means to communicate diagnostics about your code. Apply Platform Events with worked examples to enhance your logging skills while making it easier to diagnose issues without debug logs! The session will include a small library and Lightning Component to monitor log output real time!
How Does the Denodo Platform Accelerate Your Time to Insights?Denodo
Watch full webinar here: https://bit.ly/3PRcuby
In this demo session, we will illustrate the power of Denodo and delve into how Denodo helps organisations make sense of disparate silos of data. We will demonstrate the Denodo advanced data catalog and our AI/ML features that help organizations democratize and govern their data.
Wie beschleunigt die Denodo Plattform Ihre Zeit der Erkenntnisgewinnung?Denodo
Watch full webinar here: https://bit.ly/3ayILnx
In this demo session, we will illustrate the power of Denodo and delve into how Denodo helps organisations make sense of disparate silos of data. We will demonstrate the Denodo advanced data catalog and our AI/ML features that help organizations democratize and govern their data.
The differing ways to monitor and instrumentJonah Kowall
FullStack London July 15th, 2016
Monitoring is complicated, and in most organizations consists of far too many tools owned by many teams. These tools consist of monitoring tools each looking at a component myopically. These tools metrics and logs from devices and software emitting them. Increasingly modern companies are creating their own instrumentation, but there is a large base of generic instrumentation of software. Fixing monitoring issues requires people, process, and technology. In this talk we will cover many common issues seen in the real world. For example decisions on what should be monitored or collected from a technology and a business perspective. This requires process and coordination.
We will investigate what instrumentation is most scalable and effective across languages this includes the commonly used APIs and possibilities to capture data from common languages like Java, .NET and PHP, but we’ll also go into methods which work with Python, Node.js, and golang. We will cover browser and mobile instrumentation techniques. How these are done? which APIs are being used? What open source tools and frameworks can be leveraged? Most importantly how to coordinate and communicate requirements across your organization.
Attendees of this session will walk away with a clear understanding of:
What is instrumentation, and what do I instrument, collect, and store?
The understanding of overhead and how this can be accomplished on common software stacks?
How to work with application owners to collect business data.
How correlation works in custom open source or packaged monitoring tools.
OSMC 2023 | Current State of Icinga by Bernd ErkNETWAYS
The document provides an overview of the current state of Icinga and its monitoring stack. It summarizes recent releases of Icinga 2, Icinga Web, modules for Windows, certificates, vSphere, and other products. It discusses goals for improving notifications and incident management. It also outlines challenges with Kubernetes monitoring and Icinga's approach of collecting health data, events, metrics and logs from Kubernetes clusters.
ReflectInsight - Let your application speak volumeCallon Campbell
The document introduces ReflectInsight, a next generation application insights framework that provides structured logging, real-time monitoring, and advanced search capabilities. It allows applications to log rich details beyond typical message types. ReflectInsight supports common logging frameworks and provides a centralized viewer to analyze both live and historical logs. It also includes extensions for AOP logging and distributed routing of messages. The framework aims to address weaknesses in traditional logging approaches like unstructured data and lack of traceability.
Motadata offers a unified IT monitoring platform that provides network monitoring, log and flow monitoring, and IT service management. It collects and analyzes machine data from various sources to provide visibility into infrastructure performance and identify issues. The platform uses data analytics to detect anomalies and security threats. It also helps automate IT processes like incident, problem, and change management to improve service delivery and reduce ticket volumes. Motadata integrates data from multiple systems onto a single dashboard for a comprehensive view of the IT environment.
Agile Gurugram 2023 | Observability for Modern Applications. How does it help...AgileNetwork
This document discusses observability for modern applications. It begins by defining observability as the ability to observe what is happening inside a system. Observability helps measure key performance indicators and allows teams to react faster to issues. In cloud native environments, observability fits by instrumenting applications to capture logs, traces, metrics and health data which are then transmitted to analytics tools. The document outlines the different pillars of application instrumentation - logs to see what happened, traces to see how it happened, metrics to see how much happened, and health checks to see system status. It discusses OpenTelemetry as an open source observability framework to address prior vendor lock-in issues and competing standards.
Les logs, traces et indicateurs au service d'une observabilité unifiéeElasticsearch
Découvrez comment Elasticsearch centralise le stockage des données et comment exploiter Kibana pour les analyser. Sans oublier l'accélération de l'identification, du diagnostic et de la résolution des problèmes.
Combining Logs, Metrics, and Traces for Unified ObservabilityElasticsearch
Learn how Elasticsearch efficiently combines data in a single store and how Kibana is used to analyze it. Plus, see how recent developments help identify, troubleshoot, and resolve operational issues faster.
Unified malware protection for business desktops, laptops and server operating systems that provides unified protection, simplified administration and visibility and control. Key features include real-time virus protection, advanced malware protection, one policy to manage client agent protection across systems, customized alerts and security assessments. The document discusses security features for Server 2008 such as BitLocker drive encryption, user account control, read-only domain controllers, network access protection and cryptography next generation.
This document provides an overview of cloud native monitoring with Prometheus. It discusses Prometheus and how it has become the standard for metrics-based monitoring. It covers monitoring systems and applications with Prometheus, including scraping metrics, querying, and instrumenting applications to expose metrics. It also discusses alerting with Alertmanager and scaling Prometheus through federation and projects like Thanos. The document aims to explain how Prometheus enables observability of systems in cloud native environments and the growing ecosystem around Prometheus.
Observability for Application Developers (1)-1.pptxOpsTree solutions
Observability for application developers is the ability to gain insights into an application's internal workings, understand its behavior, and diagnose issues effectively. It involves collecting, analyzing, and visualizing data like logs, metrics, and traces, allowing developers to monitor performance, identify bottlenecks, and troubleshoot in real-time. This proactive approach leads to faster problem resolution, improved system reliability, and an enhanced overall user experience. Key components include logging, metrics, and transaction tracing for a comprehensive understanding of an application's health and performance.
Altnix provides consulting, implementation and 24x7 maintenance services for Nagios monitoring solutions. Nagios is a leading open source software for end to end IT infrastructure monitoring including Servers, Network Devices, Databases and Applications. Altnix team has expertise on Nagios XI, Nagios Core, Fusion, Reactor, Incident Manager,Network Analyzer and Log Server
Combining Logs, Metrics, and Traces for Unified ObservabilityElasticsearch
Learn how Elasticsearch efficiently combines data in a single store and how Kibana is used to analyze it. Plus, see how recent developments help identify, troubleshoot, and resolve operational issues faster.
MuleSoft Manchester Meetup #2 slides 29th October 2019Ieva Navickaite
The document summarizes key points from a MuleSoft meetup on monitoring and logging. It discusses:
1. Establishing what metrics to track and how, such as traffic statistics, failures, response times, and performance across environments.
2. Building targeted dashboards and establishing review processes, including setting regular review cadences and metrics sharing.
3. Setting up alerts, including different types like resource, functional, API, and custom alerts, as well as best practices for alerting.
Good observability is essential for modern software. It gives us confidence that our systems are working properly. And it also allows us to debug issues efficiently. In this talk, we’ll explore everything you need to know to start applying good observability to your projects. And we’ll see the most common pitfalls you need to be aware of. We will start with the tools and basic concepts in monitoring. And we’ll go over the 3 most common mistakes people make with it. Then we’ll see how to have automatic alerts to detect issues. And, we’ll touch on the principles for setting up good alerts. As a final step, we’ll see how to build our logging system and how to apply it in the most efficient way to debug issues easily.
Similar to Meetup milano #4 Anypoint Monitoring and Titanium overview (20)
Nona puntata del Mulesoft Meetup di Milano. Parliamo insieme a Paolo Petronzi di automazione e CI/CD e poi con Luca Bonaldo, il nostro Mulesoft Mentor in Italia, di best practices per batch processing.
Ottava puntata del MuleSoft Meetup di Milano. Parliamo insieme a Paolo Petronzi di metodologie di testing e automazione con MUnit e poi con Luca Bonaldo, il nostro Mulesoft Mentor in Italia, dell'integrazione con Salesforce.
https://meetups.mulesoft.com/events/details/mulesoft-milano-presents-mulesoft-milano-meetup-8/
Milano Meetup #6 - Training & Certification and Internal Support ModelsGonzalo Marcos Ansoain
Sesta puntata del MuleSoft Meetup di Milano - 4 Novembre 2021
Questa volta sarà un meetup speciale, nel giorno del Summit Italia. Parleremo di Training con Elena Ciscato, Training Advisor di MuleSoft per l'Italia, e di quali sono le opzioni e learning paths disponibili. Ed insieme a Gonzalo affronteremo il problema di come creare un modello di supporto per Mulesoft all'interno della nostra organizzazione.
Sito dell'evento - https://meetups.mulesoft.com/events/details/mulesoft-milano-presents-mulesoft-milano-meetup-6/
Quarta puntata del MuleSoft Meetup di Milano - 22 Luglio 2021
Approfondiremo insieme a Giacomo che opzioni abbiamo per esternalizzare i log di Mule e con Gonzalo vedremo in dettaglio il modulo di Advanced Monitoring e le differenze fra le sottoscrizioni Platinum e Titanium.
The document discusses best practices for creating a Virtual Private Cloud (VPC) in MuleSoft. It recommends creating separate VPCs for production and non-production environments for isolation. When choosing a CIDR block size, a balance must be struck between having enough IP addresses without wasting them. The number of applications, workers, environments, high availability needs, and fault tolerance requirements should all be considered when estimating IP needs. Having the correct CIDR block size is important to avoid running out of addresses over time as more applications are deployed.
Nintex 3.0 discusses digital transformation and how Nintex helps organizations manage, automate, and optimize business processes across departments and systems. It highlights Nintex's process management, automation capabilities, and industry-specific process examples. Nintex removes barriers to digital transformation by providing the fastest way to build apps, lowest total cost of ownership, and highest satisfaction. It is a leading pioneer in workflow/content automation and the digital process automation market.
Yesterday I was invited to present one of the Innovation Talks with Konica Minolta at Lisbon, in their Innovation Center.
The Innovation Talks Series is a monthly event that Konica Minolta organizes in Portugal for their customers and prospects and the goal is to provide them with an overview of the technologies that can help driving Digital Transformation to organizations. And this month was the turn for Nintex.
SharePoint Saturday @ Firenze - Building Effective Business Collaboration Pla...Gonzalo Marcos Ansoain
SharePoint Saturday @ Firenze - My speaking session about Governance and how to automate business processes for a SharePoint Platform
For many years we've been told that SharePoint is not easily governable. Because of this, IT departments have often chosen to use restriction as the main method of controlling SharePoint platforms.
In this session, we will demystify the concept of governance. We will share how to redefine governance as a global agreement between all members of an organization that allows business needs and technology requirements to align in the form of SharePoint as a Service.
By offering SharePoint as a Service, your organization can not only transform unstructured business processes into managed services offered to the end user, but also guarantee compliance with organizational policies through automation
Webinar Encamina-AvePoint. Junto a Alberto Diaz y Adrian Diaz hablando de gobernanza y automatización de procesos en platafromas SharePoint
En los últimos años, el nivel de madurez de Plataformas SharePoint ha crecido y junto a él, el problema de Gobernanza.
SharePoint, como Plataforma descentralizada supone un nuevo reto para las organizaciones y, en muchas ocasiones la restricción es el único método de control aplicado, impidiendo así la colaboración íntegra que ofrece SharePoint como solución.
En este webcast, desmitificaremos el concepto de gobernanza y propondremos SharePoint as a Service como solución de gobierno, para una implementación efectiva y practica de las políticas de uso y gobernabilidad en nuestra organización. SharePoint as a Service es la propuesta de Gobernanza que permite convertir los procesos no estructurados en servicios de gestión para el usuario final en una Plataforma de Colaboración, garantizando la seguridad y cumplimiento de normativas internas y externas.
Además, vas a descubrir:
• Cómo monitorizar el buen uso y salud de tu SharePoint
• La manera de mejorar la calidad del servicio y minimizar interrupciones en tu negocio
• Las políticas de gobernanza implementadas en el área de TI
• Como automatizar los planes de Gobernanza
Webinar Encamina-AvePoint. Junto a Alberto Diaz y Adrian Diaz descubrimos las novedades de SharePoint 2016 y analizamos como afrontar la gobernanza en los nuevos entornos hibridos.
Con la llegada de la próxima versión de SharePoint, nos encontramos con nuevos retos que nos llegan a través de la nueva arquitectura híbrida. En esta sesión os enseñaremos que novedades nos trae SharePoint 2016 para aprovecharnos de las infraestructuras híbridas con Office 365 y como conseguir gobernarlas sin morir en el intento.
En este webinar vas a descubrir:
- Novedades de la nueva versión de SharePoint
- Nuevos retos en la gestión de entornos híbridos
- Cómo adaptar tu plan de Gobernanza existente a un entorno híbrido
- Cómo automatizar tu plan de Gobernanza para incluir tu entorno Office 365
Webinar Green Team-AvePoint. Presentazione insieme a Igor Macori su SharePoint Governance
Negli ultimi anni il livello di maturità delle Piattaforme SharePoint e cresciuto e con lui il problema del Governance. SharePoint, ritenuta come una piattaforma decentralizzata diventa una nuova sfida per le organizzazioni, per cui molto spesso la restrizione sembra l'unico modo di controllare SharePoint impedendo così una piena collaborazione come quella che SharePoint ci fornisce.
In questo webcast, demistificheremo il concetto di Governance e vedremmo cosa si nasconde dietro la filosofia di SharePoint as a Service (SPaaS), per mettere in pratica le politiche e regole d'uso nella nostra organizzazione.
SPaaS e l'approccio di Governance che ci permette trasformare i processi non strutturati in SharePoint in servizi a disposizione dell'utente finale, garantendo la sicurezza e conformità con le normative interne ed esterne in vigore.
Addirittura, scoprirai:
• Il modo di migliorare l'adozione di SharePoint
• Costruire un censimento delle risorse
• Scoprire le possibili limtazioni di crescita di SharePoint e Office 365, impostando nel migliore dei modi l’evoluzione della tua Farm
• Adottare utili buone pratiche per tenere in salute e sotto controllo il tuo ambiente SharePoint
• Automatizzare un piano di Governance
This document discusses governance and policy enforcement for SharePoint as a service. It defines governance as the set of policies, roles, responsibilities and processes that guide how business and IT work together. SharePoint governance establishes policies for site creation, security, backups, and lifecycle management. When SharePoint is offered as a service, governance ensures compliance and provides processes for common tasks like permissions changes and content migration. Policy enforcement can be automated, partly automated, or manual through tools like PowerShell scripts or third party platforms.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
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.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
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.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
7. Operational best practices for proactive
management
Ensure high
performance
API Functional Monitoring
Make more
informed decisions
Anypoint Visualizer
Reduce mean time to
identification
Anypoint Monitoring
8. Titanium Overview
Dedicated Monitoring Infrastructure
Application Performance
Monitoring
Log Management Custom Metrics & Events
Anypoint Monitoring - Advanced
● Core APM, Log mgmt and Custom metrics included with Titanium
● Advanced APM, Log mgmt and Custom metrics supported by integrating with 3rd party
solutions
9. What do you get with Platinum?
Platinum feature Titanium feature
Shared Monitoring
Infrastructure
2 hour SLA Time
Basic
Custom Dashboards
Application
Metrics
API Functional
Monitoring
Monitoring
Infrastructure
Custom Metrics
& Events
Log
Management
Enhanced
Support
Application
Performance Monitoring
Basic
Logging1
Basic
Log Search1
1 CloudHub only
10. What do you get with Titanium?
Titanium feature
Platinum feature
1 CloudHub only
Dedicated Monitoring
Infrastructure
High Frequency
Data Collection
Shared Monitoring
Infrastructure
Increased Data
Storage Capacity
Custom Data
Retention & Location
Advanced
Custom Dashboards
Custom
Metrics
2 hour SLA Time
Basic
Custom Dashboards
Application
Metrics
Basic
Alerting
Connector
Metrics
Flow
Metrics
Reports
API Functional
Monitoring
Advanced
Alerting
45’ SLA Time
Monitoring
Infrastructure
Custom Metrics
& Events
Log
Management
Enhanced
Support
Application
Performance Monitoring
Basic
Logging1
Distributed
Log Management
Basic
Log Search1
Advanced
Log Search
Codeless
Logging
Log
Warehousing
Log
Tokenization
16. Application Performance Monitoring
Advanced Alerting
Create alerts based on
advanced queries
● Track trends and create
alerts triggered by
conditions
● Identify and address
abnormal behavior
● Quickly pinpoint issues
in your network
Application Performance
Monitoring
Application
Metrics
Basic
Alerting
Connector
Metrics
Flow
Metrics
Reports
API Functional
Monitoring
Advanced
Alerting
Titanium
Platinum
17. Application Performance Monitoring
Reports
Report across an entire
business group
● Compare application
health, performance
Quickly and easily analyze
resource utilization
● Sort, adjust time range,
and drill-down
Application Performance
Monitoring
Application
Metrics
Basic
Alerting
Connector
Metrics
Flow
Metrics
Reports
API Functional
Monitoring
Advanced
Alerting
Titanium
Platinum
18. Application Performance
Monitoring
Application Performance Monitoring
API Functional Monitoring
Test APIs in production to
prevent failures
● Measure API
performance in real time
● Ensure application
network uptime
● Prevent system failures
before they happen
Application
Metrics
Basic
Alerting
Connector
Metrics
Flow
Metrics
Reports
API Functional
Monitoring
Advanced
Alerting
Titanium
Platinum
21. Distributed Log Management
Log Management
Search raw log and event
data from across your
network
● Use the query builder to
filter log data
● View aggregated logs of
multiple Mule
applications
● Quickly and easily
pinpoint the root cause of
a problem
Log
Management
Titanium
Platinum
Basic
Logging1
Distributed
Log Management
Basic
Log Search1
Advanced
Log Search
Codeless
Logging
Log
Warehousing
Log
Tokenization
1 CloudHub only
22. Advanced Log Search
Log Management
Build in-depth queries for
pinpointing specific data
using the Query DSL
Filter based on specific
elements
Save log searches
to easily re-run in
the future
Specify time windows
to more easily pinpoint
messages
Log
Management
Titanium
Platinum
Basic
Logging1
Distributed
Log Management
Basic
Log Search1
Advanced
Log Search
Codeless
Logging
Log
Warehousing
Log
Tokenization
1 CloudHub only
23. Codeless Logging
Log Management
Generate logs in real time via
configuration only
● Interactively extract data
from running applications
on-demand
● Reduce application
complexity by replacing
code with configuration
● Extract data from outside
Anypoint via proxies
● Search across all logs
with Log Management
Log
Management
Titanium
Platinum
Basic
Logging1
Distributed
Log Management
Basic
Log Search1
Advanced
Log Search
Codeless
Logging
Log
Warehousing
Log
Tokenization
1 CloudHub only
24. Log Warehousing
Log Management
Log data is valuable: retain it
for years
● Store petabytes of logs
at low cost
● Two-tier storage data
architecture enables
unique flexibility
● Set retention for Real-
Time Search and Raw
Data Storage tiers
independently
● Enable auditing, security,
compliance
Real-time Search Tier
(Customizable Retention)
Raw Log Warehouse Tier
(Customizable Retention)
Mule Apps
Log
Management
Titanium
Platinum
Basic
Logging1
Distributed
Log Management
Basic
Log Search1
Advanced
Log Search
Codeless
Logging
Log
Warehousing
Log
Tokenization
1 CloudHub only
25. Log Tokenization*
Log Management
Bring a bank-grade level of
security to your logs
● Supplement encryption
in transit and encryption
at rest
● Great solution for PII,
PHI, sensitive data,
multi-cloud
● Remove sensitive log
data from the scope of
compliance
Format Preserving
Log Tokenization
Preserve
Last 4 digits of CC #
Raw
Credit Card #
4111-4111-4111-4111
Tokenized
Credit Card #
3948-8294-7486-0193
Log
Management
Titanium
Platinum
* requires RTF
Basic
Logging1
Distributed
Log Management
Basic
Log Search1
Advanced
Log Search
Codeless
Logging
Log
Warehousing
Log
Tokenization
1 CloudHub only
27. Basic Custom Dashboards
Custom Metrics & Events
Visualize your application
data in the way you want to
● Customize dashboards
based on the 60+ metrics
available out-of-the-box
● Provide instant visibility
into the performance of
your applications
● Run detailed analysis of
your network
Custom
Metrics
Custom Metrics
& Events
Basic
Custom Dashboards
Advanced
Custom Dashboards
Titanium
Platinum
28. Basic
Custom Dashboards
Advanced Custom Dashboards
Custom Metrics & Events
Track and optimize your
business and API programs
● Track impact of APIs on
business performance in
real time
● Create business-facing
dashboards with clicks
not code
● Leverage insights to
optimize your business
and API programmes
Advanced
Custom Dashboards
Custom
Metrics
Account
Web
Transaction
Order
Account
for SAP
Order
Fulfillment
Notification
for twitter
Order
for .net
Product
for NetSuite
Product
for SAP
Notification
for gmail
Notification
Notification for
facebook
Product
for MySQL
Product
Notification
for twilio
Account
for MySQL
!
!
Account
for SFDC
Customer Dashboard Order Fulfillment Dashboard
Custom Metrics
& Events
Titanium
Platinum
29. Advanced Custom Dashboards
Custom Metrics & Events
Track and optimize your
business and API programs
● Track impact of APIs on
business performance in
real time
● Create business-facing
dashboards with clicks
not code
● Leverage insights to
optimize your business
and API programmes
Custom
Metrics
Basic
Custom Dashboards
Advanced
Custom Dashboards
Custom Metrics
& Events
Titanium
Platinum
30. Custom Metrics
Custom Metrics & Events
Capture custom metrics to
enable advanced reporting
and business insight
● Multi-dimensional
metrics
● Dynamic values for
event-specific insight
● Configured using an out-
of-the-box connector
Custom
Metrics
Basic
Custom Dashboards
Advanced
Custom Dashboards
Custom Metrics
& Events
Titanium
Platinum
32. High Frequency
Data Collection
Monitoring Infrastructure
● No choice of geographical
storage location
● Updates in 30s intervals
● Static storage
● No log retention policies
Dedicated Monitoring
Infrastructure
Shared Monitoring
Infrastructure
Increased Data
Storage Capacity
Custom Data
Retention & Location
Monitoring
Infrastructure
Titanium
Platinum
33. High Frequency
Data Collection
Dedicated Monitoring Infrastructure
Monitoring Infrastructure
Customizable and unlimited
data retention
● Choice of geographical
storage location
Dedicated Monitoring
Infrastructure
Shared Monitoring
Infrastructure
Increased Data
Storage Capacity
Custom Data
Retention & Location
Monitoring
Infrastructure
Titanium
Platinum
34. High Frequency
Data Collection
Dedicated Monitoring Infrastructure
Monitoring Infrastructure
Customizable and unlimited
data retention
● Choice of geographical
storage location
● Real-time data updates
in 5s intervals
Dedicated Monitoring
Infrastructure
Shared Monitoring
Infrastructure
Increased Data
Storage Capacity
Custom Data
Retention & Location
Monitoring
Infrastructure
Titanium
Platinum
35. High Frequency
Data Collection
Dedicated Monitoring Infrastructure
Monitoring Infrastructure
Customizable and unlimited
data retention
● Choice of geographical
storage location
● Real-time data updates
in 5s intervals
● Flexible hyperscale data
storage
○ 200GB per Prod core
○ 50GB per Pre-Prod
core
Dedicated Monitoring
Infrastructure
Shared Monitoring
Infrastructure
Increased Data
Storage Capacity
Custom Data
Retention & Location
Monitoring
Infrastructure
Titanium
Platinum
36. High Frequency
Data Collection
Dedicated Monitoring Infrastructure
Monitoring Infrastructure
Customizable and unlimited
data retention
● Choice of geographical
storage location
● Real-time data updates
in 5s intervals
● Flexible hyperscale data
storage
○ 200GB per Prod core
○ 50GB per Pre-Prod
core
● Custom log retention
policies
Dedicated Monitoring
Infrastructure
Shared Monitoring
Infrastructure
Increased Data
Storage Capacity
Custom Data
Retention & Location
Monitoring
Infrastructure
Titanium
Platinum
37. 2 hour SLA
Enhanced Support
Enhanced
Support
2 hour SLA
45’ SLA
Titanium
Platinum
38. Dedicated Monitoring
Infrastructure
High Frequency
Data Collection
What do you get with Titanium?
Shared Monitoring
Infrastructure
Increased Data
Storage Capacity
Custom Data
Retention & Location
Advanced
Custom Dashboards
Custom
Metrics
2 hour SLA Time
Basic
Custom Dashboards
Application
Metrics
Basic
Alerting
Connector
Metrics
Flow
Metrics
Reports
API Functional
Monitoring
Advanced
Alerting
45’ SLA Time
Monitoring
Infrastructure
Custom Metrics
& Events
Log
Management
Enhanced
Support
Application
Performance Monitoring
Titanium feature
Platinum feature
Basic
Logging1
Distributed
Log Management
Basic
Log Search1
Advanced
Log Search
Codeless
Logging
Log
Warehousing
Log
Tokenization
44. Real-time view of your application
network
● Pinpoint issues rapidly
● Map dependencies
automatically
● Ensure architectural best
practices are followed
● Segment by utilization, health, &
performance
● Use for:
○ reviewing your architecture
○ troubleshooting
Anypoint Visualizer