This document discusses how to design, build, and map IT and business services in Splunk to gain "service intelligence." It describes a methodology for bringing subject matter experts together to design services top-down before configuration. Specifically, it discusses deconstructing a company's supply chain, online store, and ERP systems into a service map to gain insights on key performance indicators and improve issue resolution, efficiency, and customer satisfaction.
Informational Referential Integrity Constraints Support in Apache Spark with ...Databricks
An informational, or statistical, constraint is a constraint such as a unique, primary key, foreign key, or check constraint that can be used by Apache Spark to improve query performance. Informational constraints are not enforced by the Spark SQL engine; rather, they are used by Catalyst to optimize the query processing. Informational constraints will be primarily targeted to applications that load and analyze data that originated from a data warehouse. For such applications, the conditions for a given constraint are known to be true, so the constraint does not need to be enforced during data load operations.
This session will cover the support for primary and foreign key (referential integrity) constraints in Spark. You’ll learn about the constraint specification, metastore storage, constraint validation and maintenance. You’ll also see examples of query optimizations that utilize referential integrity constraints, such as Join and Distinct elimination and Star Schema detection.
Azure Event Hubs - Behind the Scenes With Kasun Indrasiri | Current 2022HostedbyConfluent
Azure Event Hubs - Behind the Scenes With Kasun Indrasiri | Current 2022
Azure Event Hubs is a hyperscale PaaS event stream broker with protocol support for HTTP, AMQP, and Apache Kafka RPC that accepts and forwards several trillion (!) events per day and is available in all global Azure regions. This session is a look behind the curtain where we dive deep into the architecture of Event Hubs and look at the Event Hubs cluster model, resource isolation, and storage strategies and also review some performance figures.
Near Real-Time Data Warehousing with Apache Spark and Delta LakeDatabricks
Timely data in a data warehouse is a challenge many of us face, often with there being no straightforward solution.
Using a combination of batch and streaming data pipelines you can leverage the Delta Lake format to provide an enterprise data warehouse at a near real-time frequency. Delta Lake eases the ETL workload by enabling ACID transactions in a warehousing environment. Coupling this with structured streaming, you can achieve a low latency data warehouse. In this talk, we’ll talk about how to use Delta Lake to improve the latency of ingestion and storage of your data warehouse tables. We’ll also talk about how you can use spark streaming to build the aggregations and tables that drive your data warehouse.
Stream Processing: Choosing the Right Tool for the JobDatabricks
Due to the increasing interest in real-time processing, many stream processing frameworks were developed. However, no clear guidelines have been established for choosing a framework for a specific use case. In this talk, two different scenarios are taken and the audience is guided through the thought process and questions that one should ask oneself when choosing the right tool. The stream processing frameworks that will be discussed are Spark Streaming, Structured Streaming, Flink and Kafka Streams.
The main questions are:
How much data does it need to process? (throughput)
Does it need to be fast? (latency)
Who will build it? (supported languages, level of API, SQL capabilities, built-in windowing and joining functionalities, etc)
Is accurate ordering important? (event time vs. processing time)
Is there a batch component? (integration of batch API)
How do we want it to run? (deployment options: standalone, YARN, mesos, …)
How much state do we have? (state store options) – What if a message gets lost? (message delivery guarantees, checkpointing).
For each of these questions, we look at how each framework tackles this and what the main differences are. The content is based on the PhD research of Giselle van Dongen in benchmarking stream processing frameworks in several scenarios using latency, throughput and resource utilization.
Informational Referential Integrity Constraints Support in Apache Spark with ...Databricks
An informational, or statistical, constraint is a constraint such as a unique, primary key, foreign key, or check constraint that can be used by Apache Spark to improve query performance. Informational constraints are not enforced by the Spark SQL engine; rather, they are used by Catalyst to optimize the query processing. Informational constraints will be primarily targeted to applications that load and analyze data that originated from a data warehouse. For such applications, the conditions for a given constraint are known to be true, so the constraint does not need to be enforced during data load operations.
This session will cover the support for primary and foreign key (referential integrity) constraints in Spark. You’ll learn about the constraint specification, metastore storage, constraint validation and maintenance. You’ll also see examples of query optimizations that utilize referential integrity constraints, such as Join and Distinct elimination and Star Schema detection.
Azure Event Hubs - Behind the Scenes With Kasun Indrasiri | Current 2022HostedbyConfluent
Azure Event Hubs - Behind the Scenes With Kasun Indrasiri | Current 2022
Azure Event Hubs is a hyperscale PaaS event stream broker with protocol support for HTTP, AMQP, and Apache Kafka RPC that accepts and forwards several trillion (!) events per day and is available in all global Azure regions. This session is a look behind the curtain where we dive deep into the architecture of Event Hubs and look at the Event Hubs cluster model, resource isolation, and storage strategies and also review some performance figures.
Near Real-Time Data Warehousing with Apache Spark and Delta LakeDatabricks
Timely data in a data warehouse is a challenge many of us face, often with there being no straightforward solution.
Using a combination of batch and streaming data pipelines you can leverage the Delta Lake format to provide an enterprise data warehouse at a near real-time frequency. Delta Lake eases the ETL workload by enabling ACID transactions in a warehousing environment. Coupling this with structured streaming, you can achieve a low latency data warehouse. In this talk, we’ll talk about how to use Delta Lake to improve the latency of ingestion and storage of your data warehouse tables. We’ll also talk about how you can use spark streaming to build the aggregations and tables that drive your data warehouse.
Stream Processing: Choosing the Right Tool for the JobDatabricks
Due to the increasing interest in real-time processing, many stream processing frameworks were developed. However, no clear guidelines have been established for choosing a framework for a specific use case. In this talk, two different scenarios are taken and the audience is guided through the thought process and questions that one should ask oneself when choosing the right tool. The stream processing frameworks that will be discussed are Spark Streaming, Structured Streaming, Flink and Kafka Streams.
The main questions are:
How much data does it need to process? (throughput)
Does it need to be fast? (latency)
Who will build it? (supported languages, level of API, SQL capabilities, built-in windowing and joining functionalities, etc)
Is accurate ordering important? (event time vs. processing time)
Is there a batch component? (integration of batch API)
How do we want it to run? (deployment options: standalone, YARN, mesos, …)
How much state do we have? (state store options) – What if a message gets lost? (message delivery guarantees, checkpointing).
For each of these questions, we look at how each framework tackles this and what the main differences are. The content is based on the PhD research of Giselle van Dongen in benchmarking stream processing frameworks in several scenarios using latency, throughput and resource utilization.
De KubeCon à ContainerDays, eBPF a le vent en poupe dans le monde Cloud Native. Mais de quoi s’agit-il, pourquoi cette technologie est-elle révolutionnaire, et qu’est-ce qu’elle peut m’apporter concrètement?
À travers des exemples concrets appliqués aux domaines de l’observabilité, du réseau et de la sécurité, cette session explique les tenants d’eBPF et ses avantages concrets pour connecter et sécuriser les applications Cloud Native.
Vous y découvrirez comment démarrer votre aventure avec eBPF, avec des outils vous permettant de bénéficier de ses super-pouvoirs en toute simplicité.
Building Service Intelligence with Splunk IT Service Intelligence (ITSI) Splunk
Providing transformational impact and insight into key business services while maintaining operational oversight is often difficult in organizations. To effectively communicate business value and alignment organizations must find new methods to bridge the gap between business and operations. This half-day hands on workshop demonstrates how customers can quickly gain insight into high-value services while aligning business and IT Operations using Splunk’s IT Service Intelligence solution. By leveraging the machine data you are already collecting the exercise provides a transformational method to model high-value services and rapidly build custom visualizations and dashboards. From executive leaders to administrators these personalized service-centric views provide powerful analytics and machine learning to transform service intelligence across your organization.
Come experience how you can transform service intelligence in your organization.
Capital One Delivers Risk Insights in Real Time with Stream Processingconfluent
Speakers: Ravi Dubey, Senior Manager, Software Engineering, Capital One + Jeff Sharpe, Software Engineer, Capital One
Capital One supports interactions with real-time streaming transactional data using Apache Kafka®. Kafka helps deliver information to internal operation teams and bank tellers to assist with assessing risk and protect customers in a myriad of ways.
Inside the bank, Kafka allows Capital One to build a real-time system that takes advantage of modern data and cloud technologies without exposing customers to unnecessary data breaches, or violating privacy regulations. These examples demonstrate how a streaming platform enables Capital One to act on their visions faster and in a more scalable way through the Kafka solution, helping establish Capital One as an innovator in the banking space.
Join us for this online talk on lessons learned, best practices and technical patterns of Capital One’s deployment of Apache Kafka.
-Find out how Kafka delivers on a 5-second service-level agreement (SLA) for inside branch tellers.
-Learn how to combine and host data in-memory and prevent personally identifiable information (PII) violations of in-flight transactions.
-Understand how Capital One manages Kafka Docker containers using Kubernetes.
Watch the recording: https://videos.confluent.io/watch/6e6ukQNnmASwkf9Gkdhh69?.
According to SAP, SAP PI dual-stack installations (ABAP and JAVA) will be supported by SAP only until the end of 2020. This scenario requires companies to upgrade/migrate to SAP PO release 7.5.
Application Server ABAP within SAP NetWeaver 7.10, 7.11, 7.20, 7.30 will be supported in mainstream maintenance till the end of 2020 with no extended maintenance.
Based on our experience to upgrade/migrate SAP PI/PO to SAP PO 7.5. We have created the SAP PI/PO FAQ’s guide to provide the information to make an informed decision on how to balance the cost, risk, and time for SAPPO 7.5 Upgrade/Migration. It covers everything you need to know on your path to SAP PO 7.5.
Data all over the place! How SQL and Apache Calcite bring sanity to streaming...Julian Hyde
The revolution has happened. We are living the age of the deconstructed database. The modern enterprises are powered by data, and that data lives in many formats and locations, in-flight and at rest, but somewhat surprisingly, the lingua franca for remains SQL.
In this talk, Julian describes Apache Calcite, a toolkit for relational algebra that powers many systems including Apache Beam, Flink and Hive. He discusses some areas of development in Calcite: streaming SQL, materialized views, enabling spatial query on vanilla databases, and what a mash-up of all three might look like.
He also describes how SQL is being extended to handle streaming, and the challenges that will need to be solved if it is to become standard.
A talk given by Julian Hyde at Lyft, San Francisco, on 2018/06/27.
Event-Driven Stream Processing and Model Deployment with Apache Kafka, Kafka ...Kai Wähner
Talk from Kafka Summit San Francisco 2019 (https://kafka-summit.org/sessions/event-driven-model-serving-stream-processing-vs-rpc-kafka-tensorflow/). Video recording will be available for free on the Summit website.
Event-based stream processing is a modern paradigm to continuously process incoming data feeds, e.g. for IoT sensor analytics, payment and fraud detection, or logistics. Machine Learning / Deep Learning models can be leveraged in different ways to do predictions and improve the business processes. Either analytic models are deployed natively in the application or they are hosted in a remote model server. In the latter you combine stream processing with RPC / Request-Response paradigm instead of direct doing direct inference within the application. This talk discusses the pros and cons of both approaches and shows examples of stream processing vs. RPC model serving using Kubernetes, Apache Kafka, Kafka Streams, gRPC and TensorFlow Serving. The trade-offs of using a public cloud service like AWS or GCP for model deployment are also discussed and compared to local hosting for offline predictions directly “at the edge”.
Key takeaways
• Machine Learning / Deep Learning models can be used in different ways to do predictions. Scalability and loose coupling are important success factors
• Stream processing vs. RPC / Request-Response for model serving has many trade-offs – learn about alternatives and best practices for your different scenarios
• Understand the alternatives and trade-offs of model deployment in modern infrastructures like Kubernetes or Cloud Services like AWS or GCP
• See live demos with Java, gRPC, Apache Kafka, KSQL and TensorFlow Serving to understand the trade-offs
Tracing the Breadcrumbs: Apache Spark Workload DiagnosticsDatabricks
Have you ever hit mysterious random process hangs, performance regressions, or OOM errors that leave barely any useful traces, yet hard or expensive to reproduce? No matter how tricky the bugs are, they always leave some breadcrumbs along the way.
Properly shaping partitions and your jobs to enable powerful optimizations, eliminate skew and maximize cluster utilization. We will explore various Spark Partition shaping methods along with several optimization strategies including join optimizations, aggregate optimizations, salting and multi-dimensional parallelism.
Accelerating Spark SQL Workloads to 50X Performance with Apache Arrow-Based F...Databricks
In Big Data field, Spark SQL is important data processing module for Apache Spark to work with structured row-based data in a majority of operators. Field-programmable gate array(FPGA) with highly customized intellectual property(IP) can not only bring better performance but also lower power consumption to accelerate CPU-intensive segments for an application.
PySpark Programming | PySpark Concepts with Hands-On | PySpark Training | Edu...Edureka!
** PySpark Certification Training: https://www.edureka.co/pyspark-certification-training **
This Edureka tutorial on PySpark Programming will give you a complete insight of the various fundamental concepts of PySpark. Fundamental concepts include the following:
1. PySpark
2. RDDs
3. DataFrames
4. PySpark SQL
5. PySpark Streaming
6. Machine Learning (MLlib)
How to Design, Build and Map IT and Business Services in SplunkSplunk
Your IT department supports critical business functions, processes and products. You're most effective when your technology initiatives are closely aligned and measured with specific business objectives. This session covers best practices and techniques for designing and building an effective service model, using the domain knowledge of your experts and capturing and reporting on key metrics that everyone can understand.
Attend to learn from our experts about ways to improve you IT Operational Intelligence by using Splunk for troubleshooting, monitoring and service-level visibility. In this hands-on session we will cover recommended approaches for end-to-end troubleshooting and monitoring across applications, OSes, and devices to resolve problems faster, reduce downtime and improve user satisfaction and customer retention. Topics will include: monitoring critical services, using commonly deployed apps and TAs to gather data for IT infrastructure uses, and using of pre-made dashboard panels to quickly build dashboards for monitoring your environment.
De KubeCon à ContainerDays, eBPF a le vent en poupe dans le monde Cloud Native. Mais de quoi s’agit-il, pourquoi cette technologie est-elle révolutionnaire, et qu’est-ce qu’elle peut m’apporter concrètement?
À travers des exemples concrets appliqués aux domaines de l’observabilité, du réseau et de la sécurité, cette session explique les tenants d’eBPF et ses avantages concrets pour connecter et sécuriser les applications Cloud Native.
Vous y découvrirez comment démarrer votre aventure avec eBPF, avec des outils vous permettant de bénéficier de ses super-pouvoirs en toute simplicité.
Building Service Intelligence with Splunk IT Service Intelligence (ITSI) Splunk
Providing transformational impact and insight into key business services while maintaining operational oversight is often difficult in organizations. To effectively communicate business value and alignment organizations must find new methods to bridge the gap between business and operations. This half-day hands on workshop demonstrates how customers can quickly gain insight into high-value services while aligning business and IT Operations using Splunk’s IT Service Intelligence solution. By leveraging the machine data you are already collecting the exercise provides a transformational method to model high-value services and rapidly build custom visualizations and dashboards. From executive leaders to administrators these personalized service-centric views provide powerful analytics and machine learning to transform service intelligence across your organization.
Come experience how you can transform service intelligence in your organization.
Capital One Delivers Risk Insights in Real Time with Stream Processingconfluent
Speakers: Ravi Dubey, Senior Manager, Software Engineering, Capital One + Jeff Sharpe, Software Engineer, Capital One
Capital One supports interactions with real-time streaming transactional data using Apache Kafka®. Kafka helps deliver information to internal operation teams and bank tellers to assist with assessing risk and protect customers in a myriad of ways.
Inside the bank, Kafka allows Capital One to build a real-time system that takes advantage of modern data and cloud technologies without exposing customers to unnecessary data breaches, or violating privacy regulations. These examples demonstrate how a streaming platform enables Capital One to act on their visions faster and in a more scalable way through the Kafka solution, helping establish Capital One as an innovator in the banking space.
Join us for this online talk on lessons learned, best practices and technical patterns of Capital One’s deployment of Apache Kafka.
-Find out how Kafka delivers on a 5-second service-level agreement (SLA) for inside branch tellers.
-Learn how to combine and host data in-memory and prevent personally identifiable information (PII) violations of in-flight transactions.
-Understand how Capital One manages Kafka Docker containers using Kubernetes.
Watch the recording: https://videos.confluent.io/watch/6e6ukQNnmASwkf9Gkdhh69?.
According to SAP, SAP PI dual-stack installations (ABAP and JAVA) will be supported by SAP only until the end of 2020. This scenario requires companies to upgrade/migrate to SAP PO release 7.5.
Application Server ABAP within SAP NetWeaver 7.10, 7.11, 7.20, 7.30 will be supported in mainstream maintenance till the end of 2020 with no extended maintenance.
Based on our experience to upgrade/migrate SAP PI/PO to SAP PO 7.5. We have created the SAP PI/PO FAQ’s guide to provide the information to make an informed decision on how to balance the cost, risk, and time for SAPPO 7.5 Upgrade/Migration. It covers everything you need to know on your path to SAP PO 7.5.
Data all over the place! How SQL and Apache Calcite bring sanity to streaming...Julian Hyde
The revolution has happened. We are living the age of the deconstructed database. The modern enterprises are powered by data, and that data lives in many formats and locations, in-flight and at rest, but somewhat surprisingly, the lingua franca for remains SQL.
In this talk, Julian describes Apache Calcite, a toolkit for relational algebra that powers many systems including Apache Beam, Flink and Hive. He discusses some areas of development in Calcite: streaming SQL, materialized views, enabling spatial query on vanilla databases, and what a mash-up of all three might look like.
He also describes how SQL is being extended to handle streaming, and the challenges that will need to be solved if it is to become standard.
A talk given by Julian Hyde at Lyft, San Francisco, on 2018/06/27.
Event-Driven Stream Processing and Model Deployment with Apache Kafka, Kafka ...Kai Wähner
Talk from Kafka Summit San Francisco 2019 (https://kafka-summit.org/sessions/event-driven-model-serving-stream-processing-vs-rpc-kafka-tensorflow/). Video recording will be available for free on the Summit website.
Event-based stream processing is a modern paradigm to continuously process incoming data feeds, e.g. for IoT sensor analytics, payment and fraud detection, or logistics. Machine Learning / Deep Learning models can be leveraged in different ways to do predictions and improve the business processes. Either analytic models are deployed natively in the application or they are hosted in a remote model server. In the latter you combine stream processing with RPC / Request-Response paradigm instead of direct doing direct inference within the application. This talk discusses the pros and cons of both approaches and shows examples of stream processing vs. RPC model serving using Kubernetes, Apache Kafka, Kafka Streams, gRPC and TensorFlow Serving. The trade-offs of using a public cloud service like AWS or GCP for model deployment are also discussed and compared to local hosting for offline predictions directly “at the edge”.
Key takeaways
• Machine Learning / Deep Learning models can be used in different ways to do predictions. Scalability and loose coupling are important success factors
• Stream processing vs. RPC / Request-Response for model serving has many trade-offs – learn about alternatives and best practices for your different scenarios
• Understand the alternatives and trade-offs of model deployment in modern infrastructures like Kubernetes or Cloud Services like AWS or GCP
• See live demos with Java, gRPC, Apache Kafka, KSQL and TensorFlow Serving to understand the trade-offs
Tracing the Breadcrumbs: Apache Spark Workload DiagnosticsDatabricks
Have you ever hit mysterious random process hangs, performance regressions, or OOM errors that leave barely any useful traces, yet hard or expensive to reproduce? No matter how tricky the bugs are, they always leave some breadcrumbs along the way.
Properly shaping partitions and your jobs to enable powerful optimizations, eliminate skew and maximize cluster utilization. We will explore various Spark Partition shaping methods along with several optimization strategies including join optimizations, aggregate optimizations, salting and multi-dimensional parallelism.
Accelerating Spark SQL Workloads to 50X Performance with Apache Arrow-Based F...Databricks
In Big Data field, Spark SQL is important data processing module for Apache Spark to work with structured row-based data in a majority of operators. Field-programmable gate array(FPGA) with highly customized intellectual property(IP) can not only bring better performance but also lower power consumption to accelerate CPU-intensive segments for an application.
PySpark Programming | PySpark Concepts with Hands-On | PySpark Training | Edu...Edureka!
** PySpark Certification Training: https://www.edureka.co/pyspark-certification-training **
This Edureka tutorial on PySpark Programming will give you a complete insight of the various fundamental concepts of PySpark. Fundamental concepts include the following:
1. PySpark
2. RDDs
3. DataFrames
4. PySpark SQL
5. PySpark Streaming
6. Machine Learning (MLlib)
How to Design, Build and Map IT and Business Services in SplunkSplunk
Your IT department supports critical business functions, processes and products. You're most effective when your technology initiatives are closely aligned and measured with specific business objectives. This session covers best practices and techniques for designing and building an effective service model, using the domain knowledge of your experts and capturing and reporting on key metrics that everyone can understand.
Attend to learn from our experts about ways to improve you IT Operational Intelligence by using Splunk for troubleshooting, monitoring and service-level visibility. In this hands-on session we will cover recommended approaches for end-to-end troubleshooting and monitoring across applications, OSes, and devices to resolve problems faster, reduce downtime and improve user satisfaction and customer retention. Topics will include: monitoring critical services, using commonly deployed apps and TAs to gather data for IT infrastructure uses, and using of pre-made dashboard panels to quickly build dashboards for monitoring your environment.
Getting Started with Splunk Enterprise Hands-OnSplunk
Here’s your chance to get hands-on with Splunk for the first time! Bring your laptop, and we’ll go through a simple install of Splunk. Then we’ll load some sample data, and see Splunk in action. At the end of this session you’ll have a hands-on understanding of the pieces that make up the Splunk Platform, how it works, and how it fits in the landscape of Big Data. We’ll share practical examples that differentiate Splunk while demonstrating how to gain quick time to value.
Splunk Enterpise for Information Security Hands-OnSplunk
Splunk is the ultimate tool for the InfoSec hunter. In this unique session, we’ll dive straight into the Splunk search interface, and interact with wire data harvested from various interesting and hostile environments, as well as some web access logs. We’ll show how you can use Splunk Enterprise with a few free Splunk applications to hunt for attack patterns. We’ll also demonstrate some ways to add context to your data in order to reduce false positives and more quickly respond to information. Bring your laptop – you’ll need a web browser to access our demo systems!
The Big Data phenomenon is being driven by the growth of machine data. Critical insights found in machine data enable IT and Security teams to ensure uptime, detect fraud and identify threats. Today, forward-thinking organizations are discovering its value to better understand their customers, improve products, optimize marketing and improve business processes. Learn how Splunk and your machine data can deliver real-time insights from this new class of data and complement your existing BI investments.
You have spent a ton of money on your security infrastructure. But how do you string all those things together so you can achieve your goals of reducing time to response, and early detection and prevention of events. See a live demonstration that will showcase how to operationalize those resources so that your organization can reap the maximum benefit.
Splunk Ninja: New Features, Pivot and Search DojoSplunk
Besides seeing the newest features in Splunk Enterprise and learning the best practices for data models and pivot, we will show you how to use a handful of search commands that will solve most search needs. Learn these well and become a ninja.
Learn why and how Autodesk runs Splunk Enterprise in AWS with the goals of increasing automation, scalability and responsiveness. Including sample architecture, AWS CloudFormation templates and Ansible playbook (links to Github provided).
Enrich a 360-degree Customer View with Splunk and Apache HadoopHortonworks
What if your organization could obtain a 360 degree view of the customer across offline, online and social and mobile channels? Attend this webinar with Splunk and Hortonworks and see examples of how marketing, business and operations analysts can reach across disparate data sets in Hadoop to spot new opportunities for up-sell and cross-sell. We'll also cover examples of how to measure buyer sentiment and changes in buyer behavior. Along with best practices on how to use data in Hadoop with Splunk to assign customer influence scores that online, call-center, and retail branches can use to customize more compelling products and promotions.
Learn from our Security Expert on how to use the Splunk App for Enterprise Security (ES) in a live, hands-on session. We'll take a tour through Splunk's award-winning security offering to understand some of the unique capabilities in the product. Then, we'll use ES to work an incident and disrupt an adversary's Kill Chain by finding the Actions on Intent, Exploitation Methods, and Reconnaissance Tactics used against a simulated organization. Data investigated will include threat list intelligence feeds, endpoint activity logs, e-mail logs, and web access logs. This session is a must for all security experts! Please bring your laptop as this is a hands-on session.
How to Design, Build and Map IT and Business Services in Splunk Splunk
Your IT department supports critical business functions, processes and products. You're most effective when your technology initiatives are closely aligned and measured with specific business objectives. This session covers best practices and techniques for designing and building an effective service model, using the domain knowledge of your experts and capturing and reporting on key metrics that everyone can understand. We will design a sample service model and map them to performance indicators to track operational and business objectives. We will also show you how to make Splunk service-ware with Splunk IT Service Intelligence (ITSI).
How to Design, Build and Map IT and Business Services in SplunkSplunk
Your IT department supports critical business functions, processes and products. You're most effective when your technology initiatives are closely aligned and measured with specific business objectives. This session covers best practices and techniques for designing and building an effective service model, using the domain knowledge of your experts and capturing and reporting on key metrics that everyone can understand. We will design a sample service model and map them to performance indicators to track operational and business objectives. We will also show you how to make Splunk service-ware with Splunk IT Service Intelligence (ITSI).
Attend to learn from our experts about ways to improve you IT Operational Intelligence by using Splunk for troubleshooting, monitoring and service-level visibility. In this hands-on session we will cover recommended approaches for end-to-end troubleshooting and monitoring across applications, OSes, and devices to resolve problems faster, reduce downtime and improve user satisfaction and customer retention. Topics will include: monitoring critical services, using commonly deployed apps and TAs to gather data for IT infrastructure uses, and using of pre-made dashboard panels to quickly build dashboards for monitoring your environment.
How to Design, Build and Map IT and Business Services in SplunkSplunk
Your IT department supports critical business functions, processes and products. You're most effective when your technology initiatives are closely aligned and measured with specific business objectives. This session covers best practices and techniques for designing and building an effective service model, using the domain knowledge of your experts and capturing and reporting on key metrics that everyone can understand. We will design a sample service model and map them to performance indicators to track operational and business objectives. We will also show you how to make Splunk service-ware with Splunk IT Service Intelligence (ITSI).
How to Design, Build and Map IT and Business Services in SplunkSplunk
Your IT department supports critical business functions, processes and products. You're most effective when your technology initiatives are closely aligned and measured with specific business objectives. This session covers best practices and techniques for designing and building an effective service model, using the domain knowledge of your experts and capturing and reporting on key metrics that everyone can understand. We will design a sample service model and map them to performance indicators to track operational and business objectives. We will also show you how to make Splunk service-ware with Splunk IT Service Intelligence (ITSI).
Come and learn from our experts on ways to improve you IT Operational Visibility by using Splunk for monitoring environment health. In this hands-on session we will cover recommended approaches for end to end monitoring, across applications, OSes, and devices. Topics will include: critical services to monitor, use of the Splunk Common Information Model (CIM) for cross-dataset normalization, commonly deployed apps and TAs to gather data for IT infrastructure uses, and use of pre-made dashboard panels to quickly build dashboards for monitoring your environment.
Come and learn from our experts on ways to improve you IT Operational Visibility by using Splunk for monitoring environment health. In this hands-on session we will cover recommended approaches for end-to-end monitoring, across applications, OSes, and devices. Topics will include: critical services to monitor, use of the Splunk Common Information Model (CIM) for cross-dataset normalization, commonly deployed apps and TAs to gather data for IT infrastructure uses, and use of pre-made dashboard panels to quickly build dashboards for monitoring your environment.
Learn from our experts about ways to improve you IT Operational Intelligence by using Splunk for troubleshooting, monitoring and service-level visibility. In this hands-on session we will cover recommended approaches for end-to-end troubleshooting and monitoring across applications, OSes, and devices to resolve problems faster, reduce downtime and improve user satisfaction and customer retention. Topics will include: monitoring critical services, using commonly deployed apps and TAs to gather data for IT infrastructure uses, and using of pre-made dashboard panels to quickly build dashboards for monitoring your environment.
Learn How to Design, Build and Map Services to Quantifiable Measurements in S...Splunk
IT departments are most effective when IT services are measured against business objectives and defined performance indicators. But tracking performance of these services has historically been a challenge.
This webinar explains how you can design, build and map performance of your IT services—improving support of critical business functions, processes and applications.
Topics include:
-Best practices to design and build an effective service model
-Techniques to deconstruct a service into its component parts
-How to build meaningful “glass tables” in Splunk ITSI for real-time insights into service health and key performance indicators
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/39AhUB7
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
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BMW is defining the next level of mobility - digital interactions and technology are the backbone to continued success with its customers. Discover how an IT team is tackling the journey of business transformation at scale whilst maintaining (and showing the importance of) business and IT service availability. Learn how BMW introduced frameworks to connect business and IT, using real-time data to mitigate customer impact, as Michael and Mark share their experience in building operations for a resilient future.
Data foundations building success, at city scale – Imperial College LondonSplunk
Universities have more in common with modern cities than traditional places of learning. This mini city needs to empower its citizens to thrive and achieve their ambitions. Operationalising data is key to building critical services; from understanding complex IT estates for smarter decision-making to robust security and a more reliable, resilient student experience. Juan will share his experience in building data foundations for a resilient future whilst enabling digital transformation at Imperial College London.
Splunk: How Vodafone established Operational Analytics in a Hybrid Environmen...Splunk
Learn how Vodafone has provided end-to-end visibility across services by building an Operational Analytics Platform. In this session, you will hear how Stefan and his team manage legacy, on premise, hybrid and public cloud services, and how they are providing a platform for complex triage and debugging to tackle use cases across Vodafone’s extensive ecosystem.
.italo operates an Essential Service by connecting more than 100 million people annually across Italy with its super fast and secure railway. And CISO Enrico Maresca has been on a whirlwind journey of his own.
Formerly a Cyber Security Engineer, Enrico started at .italo as an IT Security Manager. One year later, he was promoted to CISO and tasked with building out – and significantly increasing the maturity level – of the SOC. The result was a huge step forward for .italo.
So how did he successfully achieve this ambitious ask? Join Enrico as he reveals the key insights and lessons learned in his SOC journey, including:
Top challenges faced in improving security posture
Key KPIs implemented in order to measure success
Strategies and approaches applied in the SOC
How MITRE ATT&CK and Splunk Enterprise Security were utilised
Next steps in their maturity journey ahead
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Splunk: How to Design, Build and Map IT Services
1. How To Design, Build And Map IT And
Business Services In Splunk
Dan Byrd, Stuart Ainsworth -ITSI Specialists
Splunk>
April 12, 2016
2. Takeaways
How To Derive ‘Service Intelligence’
Methodology and Value of Service Design and Mapping
Introduction to
3. The Problem Scenario
Manufactures toys and games
Supply chain tracks movement of goods from manufacturing process to the consumer
Online store for direct buyers and resellers to purchase goods
Buttercup Games
8. Start WithAProblem Worth Solving
Review the list of services provided
Identify services that are impactful, valuable, measurable
and business critical
9. • What are the top 3
business services in your
enterprise?
• How do you measure the
customer experience with
these services?
• What is the customer
experience with these
services?
Uncovering the problem worth solving
• How often do customers
experience issues with
the service?
• When issues arise, who
gets involved in resolving
them?
• How do teams work
together to resolve
issues?
• When issues arise, how
long does it take (on
average) to fully resolve
the issues?
• What are the financial
impacts when customers
have a bad experience
with your services?
Critical Services Issue Frequency Impact
10. Bring The Subject Matter Experts Together
Evaluate the performance based on
effectiveness or efficiency
Identify pains, performance indicators and measurement
goals for the service
11. Design Before Configuring
Identify pains, performance indicators and measurement
goals for the service
Identify components and data needed to drive service
insights
Consolidate the mappings into an enterprise process/IT
services map
12. Terminology Matters
Logical grouping of
operations
Online banking
Authentication
Virtualization
EXAMPLES
SERVICES
Set of actions
performed with specific
business goals
Sell products
Fulfill order
Process payroll
EXAMPLES
BUSINESS
PROCESSES
Metrics used to
evaluate success
Service health
Order revenue
Latency
EXAMPLES
KEY PERFORMANCE
INDICATORS
15. Defining Service Intelligence
Enabling a business aware IT
Measuring and reporting on indicators that matter
Unlocking operational efficiencies
Collaborating across silos to improve service operations
Data-based decision making
Solving problems and anticipating pitfalls with sophisticated
analytics and holistic insights
16. THE POWER OF
COLLECT
DATA FROM
ANYWHERE
SEARCH AND
ANALYZE
EVERYTHING
DELIVER REAL-TIME
OPERATIONAL
INTELLIGENCE TO IT AND
THE BUSINESS
17. WHAT IF…
You could put critical service intelligence directly into
the hands of the people that need it, with the data you
already have in Splunk?
19. What We Hear From Our Customers
20
“My CIO is demanding we look at IT from a Business Service perspective.”
“Splunk is great for break/fix, but I need to show we’re meeting SLAs.”
“I need everyone to be able to see the same thing at the same time.”
“I just want to throw data at Splunk and have it find problems for me.”
“Show me what my data can do for me!”
20. Splunk IT Service Intelligence
SPLUNK IT SERVICE INTELLIGENCE
Time-series Index
Platform for Machine Data
Dynamic
Service Models
Schema-on-read Data Model
Common
Information Model
At-a-Glance
Problem Analysis
Early Warning
on Deviations
Simplify Incident
Workflows
25. Sign Up Here - We’re Here To Help!
Unlock the value of data and solve an important service problem
through a joint free guided engagement with key stakeholders
Define methods for:
› Proactive service monitoring
› Reduced risk and failures
› Faster issue resolution
› Increased business
performance
What is it?
› 1 Day Onsite Workshop
› Tightly linked with value
› Collaborative approach
› Build your own Splunk
ITSI Glass Table
26. Get Started
ONLINE SANDBOX TRIAL
7 days of access to a free, personal
environment in the Cloud, with pre-
populated data
Engage in a proof-of-concept to index
your data and experience the power of
Splunk ITSI
27. SEPT 26-29, 2016
WALT DISNEY WORLD, ORLANDO
SWAN AND DOLPHIN RESORTS
• 5000+ IT & Business Professionals
• 3 days of technical content
• 165+ sessions
• 80+ Customer Speakers
• 35+ Apps in Splunk Apps Showcase
• 75+ Technology Partners
• 1:1 networking: Ask The Experts and Security
Experts, Birds of a Feather and Chalk Talks
• NEW hands-on labs!
• Expanded show floor, Dashboards Control
Room & Clinic, and MORE!
The 7th Annual Splunk Worldwide Users’ Conference
PLUS Splunk University
• Three days: Sept 24-26, 2016
• Get Splunk Certified for FREE!
• Get CPE credits for CISSP, CAP, SSCP
• Save thousands on Splunk education!
Editor's Notes
Everyone at Splunk loves Buttercup our mascot. Buttercup Games manufactures stuffed toys and games. Let’s do a role play that uncovers the services important to the company and where there are problems worth solving.
As a manufacturing company, the supply chain is extremely important. It’s a system that allows us to track the flow of good. So, making sure that
Is it impactful, valuable measurable
Drive decision making with quantifiable measurements
How do you drive decisions to meet business needs
What are the top business services in your enterprise?
How do you measure the customer experience with these services?
Are customers happy with their experience?
How often do customers experience issues with the service?
When issues arise, who gets involved in resolving them?
How do teams work together to resolve issues?
Evaluate the performance of a process or a service – the measurements can be based upon the effectiveness (business value derived) or efficiency (how quickly the service is delivered)
Identify pains, performance indicators and measurement goals for the service
Develop an end-to-end map of the services
What components do we need to include in the service; db, middleware
What data is needed to drive the metrics
Meet with business leaders, and their teams, to review the consolidated mapping and modify as necessary
Services: Supply Chain, ERP Systems, Online Store
KPIs: Failed interactions/transactions; customer satisfaction/user experience; real-time revenue
Value Measurements: Impact to business, efficient operations and reduced war rooms
At it’s core, the Splunk platform enables you to:
Collect data from anywhere – with universal forwarding and indexing technology.
Search and analyze across all your data – with powerful search and schema on the fly technology.
Rapidly deliver real-time insights from machine data to IT and business people – through a powerful UI and dashboards.
This is what we call Operational Intelligence.
That brings us to Splunk IT Service Intelligence – a packaged solution that enables real-time visibility into services driven by machine data.
Splunk ITSI speeds and simplifies service monitoring and analytics and enables IT to make better, smarter and informed business decisions.
This solution allows you to gain a deep understanding of your services. With Splunk ITSI, you have real-time views into the health of your services, and can use advanced analytics to find patterns, detect anomalies and trends to proactively monitor and address issues.
As a result you have improved service visibility, reduced resolution times, and a transformative approach to monitoring and analytics driven by machine-data.
Splunk is a scalable platform for machine data, that allows you to interact with the data to solve various use-cases. Initially we were founded one enabling IT administrators to solve IT challenges but over the years we’ve manifested this into various other use cases including Application Management, Security and Compliance (the top 3 being our core use-cases) and the evolving use cases are around Business Analytics and IoT, all of which has been led by our customers.
As our customers grow their asks from Splunk also began to evolve. They were looking for an integrated holistic packaged solution that will not only help them break-down silos, but apply machine learning to enable their IT practitioners to help arm them with the right data at the right time. They want to exploit the data they have within Splunk to discover new ways to improve their operations and drive business priorities and growth. Our customers wanted to up-level the insight machine data gave them. Not only did they want to immediately address the operational problems but also wanted visibility into whether they are meeting SLA’s, what impact performance is having to the business.
With Splunk ITSI, customers get the higher level benefits based on the underlying platform. So, from deep-in-the-weeds solving IT operational use cases with Splunk enterprise, we’re up-leveling the use cases and making IT more relevant to the business.
The can visualize meaningful and contextual data and inter-relationships with dynamic service models, organize and correlate performance indicators for at-a-glance problem analysis, get proactive with early warnings on anomalies, deviations and pre-configured correlated alerts, and simplify workflows.
The foundation principles of Splunk ITSI was to leverage the power of our platform and maximize the value you can get from not only the machine data indexed but also from all the flexibility and fast time to value we’ve already proven that we can deliver on. Our platform and Splunk ITSI can scale to index terabytes of data (in the Cloud and On-premise) and it does not require months of implementation. Additionally, the solution is flexible – you can customize your insights on-the-fly and on-demand. As your IT and business needs evolve you can customize your views in Splunk ITSI to gain real-time insights into these new performance and business indicators/needs. The ability to interact with the data on-the-fly without costly customizations is a huge plus.
Secondly, we wanted to surface the analytics capabilities to enable machine-data driven monitoring. The solution uses machine learning to detect anomalies, identify baselines and have the system dynamically adapt thresholds. You can proactively notify events thru pre-defined cross KPI correlations and there’s more. Essentially, we’re transforming the approach to monitoring with analytics driven by machine data.
Lastly, and very much to the response of our customers, we wanted to redefine the role of IT as being strategic to the business. For the longest time, there has been a persisting need for IT to align with the business. With Splunk ITSI, we enable both IT and the business stakeholders of various services to gain real-time insights into critical performance indicators, in a way that makes most sense to them.
With ITSI, we’re fast tracking how you get insights into your services and key performance indicators, whether that insight is focused on individual technology silos or services, micro-services, applications or business processes using a platform you already love.
Bring up live system
We’re headed to the East Coast!
2 inspired Keynotes – General Session and Security Keynote + Super Sessions with Splunk Leadership in Cloud, IT Ops, Security and Business Analytics!
165+ Breakout sessions addressing all areas and levels of Operational Intelligence – IT, Business Analytics, Mobile, Cloud, IoT, Security…and MORE!
30+ hours of invaluable networking time with industry thought leaders, technologists, and other Splunk Ninjas and Champions waiting to share their business wins with you!
Join the 50%+ of Fortune 100 companies who attended .conf2015 to get hands on with Splunk. You’ll be surrounded by thousands of other like-minded individuals who are ready to share exciting and cutting edge use cases and best practices. You can also deep dive on all things Splunk products together with your favorite Splunkers.
Head back to your company with both practical and inspired new uses for Splunk, ready to unlock the unimaginable power of your data! Arrive in Orlando a Splunk user, leave Orlando a Splunk Ninja!
REGISTRATION OPENS IN MARCH 2016 – STAY TUNED FOR NEWS ON OUR BEST REGISTRATION RATES – COMING SOON!