Learn how JDK Flight Recorder, JDK Mission Control and JFR Security Events can help monitoring security of your Java application so that you can detect potential safety risks.
Spinning up new instances fast, and effective JIT compilation, may be game changers these days, but they are just a part of the story. What about leaks in the code taking all gained speed away? Java Flight Recorder is an event based tracing framework. It is built directly into the Java runtime and provides access to all internal data, while allowing additional custom enhancements. The goal is to present the value of JFR and how it is able to achieve low overhead (cca 1%). We explain fundamental elements and the performance. We also explore newly added features in current and upcoming releases of JDK Mission Control 8.x.
This is an overview about Java Mission Control and Java Flight Recorder which is part of the Oracle JDK since JDK 7u40. The purpose of JFR is to have a continuous recording about the behavior of the JVM and the Java application at the same time. You can walk back in time and find out whats going on, to discover a specific problem situation in history
The document summarizes an SSL demonstration done by the MaxQDPro team. It discusses using the keytool utility to generate certificates for secure communication between a client and server. It also describes running an SSL server with the generated keystore and running an SSL client with the truststore to validate the secure connection. The demonstration was developed in Eclipse IDE using JSSE, JCE, and Bouncy Castle libraries for PKI and certificate management.
The document discusses various monitoring and troubleshooting tools available in the JDK 'bin' folder. It summarizes the key tools like jconsole for monitoring Java applications, jcmd for sending diagnostic commands, jmap for creating heap dumps, and jstack for thread stack traces. It also discusses tools that have been removed from newer JDK versions like Java VisualVM and jhat.
This document discusses various tools for diagnosing and monitoring applications running on the Java Virtual Machine (JVM). It begins with an overview of demo tools like jps, jcmd, jstat, and Java Mission Control. It then discusses internals of how these tools access a running JVM through mechanisms like JMX, attaching to processes, and the jvmstat performance data file. The document concludes with a discussion of future improvements including more diagnostic commands, JMX enhancements, improved JVM logging, and removing older tools.
This slides show
1. How to obtain code coverage information for Java code
2. What kind of code coverage it is possible to get
3. Is 100% block coverage feasible, is it useful
4. How the code coverage could be used for more than discovering a percentage of uncovered code
Spinning up new instances fast, and effective JIT compilation, may be game changers these days, but they are just a part of the story. What about leaks in the code taking all gained speed away? Java Flight Recorder is an event based tracing framework. It is built directly into the Java runtime and provides access to all internal data, while allowing additional custom enhancements. The goal is to present the value of JFR and how it is able to achieve low overhead (cca 1%). We explain fundamental elements and the performance. We also explore newly added features in current and upcoming releases of JDK Mission Control 8.x.
This is an overview about Java Mission Control and Java Flight Recorder which is part of the Oracle JDK since JDK 7u40. The purpose of JFR is to have a continuous recording about the behavior of the JVM and the Java application at the same time. You can walk back in time and find out whats going on, to discover a specific problem situation in history
The document summarizes an SSL demonstration done by the MaxQDPro team. It discusses using the keytool utility to generate certificates for secure communication between a client and server. It also describes running an SSL server with the generated keystore and running an SSL client with the truststore to validate the secure connection. The demonstration was developed in Eclipse IDE using JSSE, JCE, and Bouncy Castle libraries for PKI and certificate management.
The document discusses various monitoring and troubleshooting tools available in the JDK 'bin' folder. It summarizes the key tools like jconsole for monitoring Java applications, jcmd for sending diagnostic commands, jmap for creating heap dumps, and jstack for thread stack traces. It also discusses tools that have been removed from newer JDK versions like Java VisualVM and jhat.
This document discusses various tools for diagnosing and monitoring applications running on the Java Virtual Machine (JVM). It begins with an overview of demo tools like jps, jcmd, jstat, and Java Mission Control. It then discusses internals of how these tools access a running JVM through mechanisms like JMX, attaching to processes, and the jvmstat performance data file. The document concludes with a discussion of future improvements including more diagnostic commands, JMX enhancements, improved JVM logging, and removing older tools.
This slides show
1. How to obtain code coverage information for Java code
2. What kind of code coverage it is possible to get
3. Is 100% block coverage feasible, is it useful
4. How the code coverage could be used for more than discovering a percentage of uncovered code
SFBay Area Solr Meetup - June 18th: Benchmarking Solr PerformanceLucidworks (Archived)
The document discusses benchmarking the performance of SolrCloud clusters. It describes Timothy Potter's experience operating a large SolrCloud cluster at Dachis Group. It outlines an methodology for benchmarking indexing performance by varying the number of servers, shards, and replicas. Results show near-linear scalability as nodes are added. The document also introduces the Solr Scale Toolkit for deploying and managing SolrCloud clusters using Python and AWS. It demonstrates integrating Solr with tools like Logstash and Kibana for log aggregation and dashboards.
Java Flight Recorder is a tool built into the Java Virtual Machine that can trace and profile Java applications. It captures low-overhead data with minimal performance impact. The data can then be analyzed after the fact to troubleshoot issues or improve performance. Java Flight Recorder records events within the JVM and from the running application. It stores data in memory and can dump the information to disk for later analysis.
Security Architecture of the Java Platform (http://www.javaday.bg event - 14....Martin Toshev
The document summarizes the evolution of the Java security model from JDK 1.0 to the present. It discusses how the security model started with a sandbox that divided code into trusted and untrusted domains. It evolved to support signed applets, fine-grained access control using security policies, and role-based access with JAAS. More recent updates applied the security model to modules. The document also discusses APIs for secure coding outside the sandbox, like JCA, PKI, JSSE, and following best practices like least privilege.
SevillaJUG - Unleash the power of your applications with Micronaut® ,GraalVM...Juarez Junior
The document introduces Micronaut, a modern Java framework that leverages annotation processors and optimizations to compute infrastructure at compile-time, reducing startup time and memory usage. It highlights key Micronaut features like dependency injection, configuration, HTTP client/server, messaging, data access, security, and integration with GraalVM Native Image to compile applications ahead-of-time. The document also provides an overview of GraalVM and demonstrates how Micronaut applications compiled with GraalVM have very low resource usage and fast startup times.
Security Аrchitecture of Тhe Java PlatformMartin Toshev
The document summarizes the evolution of the Java security model from JDK 1.0 to the current version. It discusses how the security model started with a simple trusted/untrusted code separation and gradually evolved to support signed applets, fine-grained access control, and role-based access using JAAS. It also discusses how the security model will be applied to modules in future versions. Additionally, it covers some of the key security APIs available outside the sandbox like JCA, PKI, JSSE, and best practices for secure coding.
The document discusses best practices for running JVMs in containers. It recommends reducing container and application startup latency by minimizing layers and image sizes. The Java runtime can be optimized for containers by trimming modules, compressing files, and using lightweight operating systems. Class data sharing and GraalVM native images further improve startup times and footprints. The JVM should also behave in a container-aware way and the latest Java version should be used for security. Overall, following container security practices and choosing base images wisely is advised.
From Java 17 to 21, the JDK made several security enhancements, including:
1) Using larger key sizes by default for cryptographic algorithms like AES, ECDSA, and DH to improve resilience against attacks.
2) Adding support for post-quantum cryptography algorithms like HSS/LMS signature verification.
3) Restricting or disabling weak algorithms like SHA-1, 3DES, and RC4 by default.
4) Improving security APIs and providing replacements for deprecated ones like the Security Manager and parts of JAAS.
With Apache Kafka 0.9, the community has introduced a number of features to make data streams secure. In this talk, we’ll explain the motivation for making these changes, discuss the design of Kafka security, and explain how to secure a Kafka cluster. We will cover common pitfalls in securing Kafka, and talk about ongoing security work.
Kafka 2018 - Securing Kafka the Right WaySaylor Twift
How to evaluate, implement and maintain Kafka Message Broker in a high-throughput production environment. Taylor Swift's rectum probably smells like a Creamsicle.
This document discusses security features in Apache Kafka including SSL for encryption, SASL/Kerberos for authentication, authorization controls using an authorizer, and securing Zookeeper. It provides details on how these security components work, such as how SSL establishes an encrypted channel and SASL performs authentication. The authorizer implementation stores ACLs in Zookeeper and caches them for performance. Securing Zookeeper involves setting ACLs on Zookeeper nodes and migrating security configurations. Future plans include moving more functionality to the broker side and adding new authorization features.
The document discusses security considerations for installing and configuring an Oracle Exadata Database Machine. It recommends preparing for installation by collecting security requirements, subscribing to security alerts, and reviewing installation guidelines. During installation, it advises implementing available security features like the "Resecure Machine" step to tighten permissions and passwords. Post-deployment, it suggests addressing any site-specific security needs like changing default passwords and validating policies.
Configuring kerberos based sso in weblogicHarihara sarma
This document provides instructions for configuring single sign-on (SSO) using Kerberos in an Oracle WebLogic server environment. It describes setting up Kerberos on the KDC server (Machine A), configuring WebLogic server (Machine B) to use Kerberos, and configuring browser clients (Machine C) to support integrated Windows authentication. Key steps include generating a Kerberos keytab file, configuring the WebLogic security realm and login modules, and setting browser preferences to allow automatic login to the intranet domain.
Case Studies and Lessons Learned from SSL/TLS Certificate Verification Vulner...JPCERT Coordination Center
Recently we’ve seen many vulnerabilities related to improper certificate validation. Those vulnerabilities come from developers’ ignorance or misunderstanding of basic knowledge of certificate validation or insufficient testing of validation code. This presentation starts with the basics of the certificate validation process, surveys several vulnerabilities in the real world, and concludes with lessons learned from real-world vulnerabilities.
This is presented on JavaOne2015.
This document summarizes a presentation about profiling and monitoring Java applications with Java Flight Recorder (JFR). It discusses JFR's history and capabilities, how it works under the hood to have low overhead, and demos of using JFR to analyze hot methods, garbage collection, and latencies in Java and Kotlin code. The presentation concludes with information on how to obtain JFR and the Java Mission Control tool.
The document discusses the evolution of the Java security model from its initial introduction in JDK 1.0 to address security concerns of executing untrusted code, to later refinements that introduced signing of trusted code, fine-grained access control, and integration with user authentication. It also covers security APIs available for secure coding outside the sandbox and best practices for designing code with security in mind, such as respecting the SecurityManager and following the principle of least privilege.
WebLogic in Practice: SSL ConfigurationSimon Haslam
The document provides an overview of SSL configuration in Oracle WebLogic Server. It discusses key SSL concepts like key pairs, certificates, and certificate authorities. It describes how WebLogic uses Java keystores for identity and trust, and the tools like keytool and orapki that can be used to manage keys and certificates. The document also covers best practices for SSL configuration in WebLogic like always enabling hostname verification and not using demo certificates in production.
- Jetty is an open source HTTP server and servlet container that is small, embeddable and asynchronous. It supports HTTP server, HTTP client and servlet container functionality.
- Jetty runs on Java 1.6 and higher and has different versions that support different Java versions. It has a small memory footprint and never blocks waiting for I/O.
- Jetty is commonly used for configuration, logging and troubleshooting of web applications and services that require an embedded HTTP server.
Profiling Java inside containers with ContainerJFR | DevNation Tech TalkRed Hat Developers
Annoyed by some bug in your Java application? Need to profile that performance bottleneck in your JVM? And all of this inside a container? Don't worry: we got you covered. Join this session to learn more about using JDK Flight Recorder (JFR) and JDK Mission Control (JMC) to troubleshoot, monitor, and profile Java applications. Also learn how to do all of this for Java applications inside containers, with ContainerJFR.
SFBay Area Solr Meetup - June 18th: Benchmarking Solr PerformanceLucidworks (Archived)
The document discusses benchmarking the performance of SolrCloud clusters. It describes Timothy Potter's experience operating a large SolrCloud cluster at Dachis Group. It outlines an methodology for benchmarking indexing performance by varying the number of servers, shards, and replicas. Results show near-linear scalability as nodes are added. The document also introduces the Solr Scale Toolkit for deploying and managing SolrCloud clusters using Python and AWS. It demonstrates integrating Solr with tools like Logstash and Kibana for log aggregation and dashboards.
Java Flight Recorder is a tool built into the Java Virtual Machine that can trace and profile Java applications. It captures low-overhead data with minimal performance impact. The data can then be analyzed after the fact to troubleshoot issues or improve performance. Java Flight Recorder records events within the JVM and from the running application. It stores data in memory and can dump the information to disk for later analysis.
Security Architecture of the Java Platform (http://www.javaday.bg event - 14....Martin Toshev
The document summarizes the evolution of the Java security model from JDK 1.0 to the present. It discusses how the security model started with a sandbox that divided code into trusted and untrusted domains. It evolved to support signed applets, fine-grained access control using security policies, and role-based access with JAAS. More recent updates applied the security model to modules. The document also discusses APIs for secure coding outside the sandbox, like JCA, PKI, JSSE, and following best practices like least privilege.
SevillaJUG - Unleash the power of your applications with Micronaut® ,GraalVM...Juarez Junior
The document introduces Micronaut, a modern Java framework that leverages annotation processors and optimizations to compute infrastructure at compile-time, reducing startup time and memory usage. It highlights key Micronaut features like dependency injection, configuration, HTTP client/server, messaging, data access, security, and integration with GraalVM Native Image to compile applications ahead-of-time. The document also provides an overview of GraalVM and demonstrates how Micronaut applications compiled with GraalVM have very low resource usage and fast startup times.
Security Аrchitecture of Тhe Java PlatformMartin Toshev
The document summarizes the evolution of the Java security model from JDK 1.0 to the current version. It discusses how the security model started with a simple trusted/untrusted code separation and gradually evolved to support signed applets, fine-grained access control, and role-based access using JAAS. It also discusses how the security model will be applied to modules in future versions. Additionally, it covers some of the key security APIs available outside the sandbox like JCA, PKI, JSSE, and best practices for secure coding.
The document discusses best practices for running JVMs in containers. It recommends reducing container and application startup latency by minimizing layers and image sizes. The Java runtime can be optimized for containers by trimming modules, compressing files, and using lightweight operating systems. Class data sharing and GraalVM native images further improve startup times and footprints. The JVM should also behave in a container-aware way and the latest Java version should be used for security. Overall, following container security practices and choosing base images wisely is advised.
From Java 17 to 21, the JDK made several security enhancements, including:
1) Using larger key sizes by default for cryptographic algorithms like AES, ECDSA, and DH to improve resilience against attacks.
2) Adding support for post-quantum cryptography algorithms like HSS/LMS signature verification.
3) Restricting or disabling weak algorithms like SHA-1, 3DES, and RC4 by default.
4) Improving security APIs and providing replacements for deprecated ones like the Security Manager and parts of JAAS.
With Apache Kafka 0.9, the community has introduced a number of features to make data streams secure. In this talk, we’ll explain the motivation for making these changes, discuss the design of Kafka security, and explain how to secure a Kafka cluster. We will cover common pitfalls in securing Kafka, and talk about ongoing security work.
Kafka 2018 - Securing Kafka the Right WaySaylor Twift
How to evaluate, implement and maintain Kafka Message Broker in a high-throughput production environment. Taylor Swift's rectum probably smells like a Creamsicle.
This document discusses security features in Apache Kafka including SSL for encryption, SASL/Kerberos for authentication, authorization controls using an authorizer, and securing Zookeeper. It provides details on how these security components work, such as how SSL establishes an encrypted channel and SASL performs authentication. The authorizer implementation stores ACLs in Zookeeper and caches them for performance. Securing Zookeeper involves setting ACLs on Zookeeper nodes and migrating security configurations. Future plans include moving more functionality to the broker side and adding new authorization features.
The document discusses security considerations for installing and configuring an Oracle Exadata Database Machine. It recommends preparing for installation by collecting security requirements, subscribing to security alerts, and reviewing installation guidelines. During installation, it advises implementing available security features like the "Resecure Machine" step to tighten permissions and passwords. Post-deployment, it suggests addressing any site-specific security needs like changing default passwords and validating policies.
Configuring kerberos based sso in weblogicHarihara sarma
This document provides instructions for configuring single sign-on (SSO) using Kerberos in an Oracle WebLogic server environment. It describes setting up Kerberos on the KDC server (Machine A), configuring WebLogic server (Machine B) to use Kerberos, and configuring browser clients (Machine C) to support integrated Windows authentication. Key steps include generating a Kerberos keytab file, configuring the WebLogic security realm and login modules, and setting browser preferences to allow automatic login to the intranet domain.
Case Studies and Lessons Learned from SSL/TLS Certificate Verification Vulner...JPCERT Coordination Center
Recently we’ve seen many vulnerabilities related to improper certificate validation. Those vulnerabilities come from developers’ ignorance or misunderstanding of basic knowledge of certificate validation or insufficient testing of validation code. This presentation starts with the basics of the certificate validation process, surveys several vulnerabilities in the real world, and concludes with lessons learned from real-world vulnerabilities.
This is presented on JavaOne2015.
This document summarizes a presentation about profiling and monitoring Java applications with Java Flight Recorder (JFR). It discusses JFR's history and capabilities, how it works under the hood to have low overhead, and demos of using JFR to analyze hot methods, garbage collection, and latencies in Java and Kotlin code. The presentation concludes with information on how to obtain JFR and the Java Mission Control tool.
The document discusses the evolution of the Java security model from its initial introduction in JDK 1.0 to address security concerns of executing untrusted code, to later refinements that introduced signing of trusted code, fine-grained access control, and integration with user authentication. It also covers security APIs available for secure coding outside the sandbox and best practices for designing code with security in mind, such as respecting the SecurityManager and following the principle of least privilege.
WebLogic in Practice: SSL ConfigurationSimon Haslam
The document provides an overview of SSL configuration in Oracle WebLogic Server. It discusses key SSL concepts like key pairs, certificates, and certificate authorities. It describes how WebLogic uses Java keystores for identity and trust, and the tools like keytool and orapki that can be used to manage keys and certificates. The document also covers best practices for SSL configuration in WebLogic like always enabling hostname verification and not using demo certificates in production.
- Jetty is an open source HTTP server and servlet container that is small, embeddable and asynchronous. It supports HTTP server, HTTP client and servlet container functionality.
- Jetty runs on Java 1.6 and higher and has different versions that support different Java versions. It has a small memory footprint and never blocks waiting for I/O.
- Jetty is commonly used for configuration, logging and troubleshooting of web applications and services that require an embedded HTTP server.
Profiling Java inside containers with ContainerJFR | DevNation Tech TalkRed Hat Developers
Annoyed by some bug in your Java application? Need to profile that performance bottleneck in your JVM? And all of this inside a container? Don't worry: we got you covered. Join this session to learn more about using JDK Flight Recorder (JFR) and JDK Mission Control (JMC) to troubleshoot, monitor, and profile Java applications. Also learn how to do all of this for Java applications inside containers, with ContainerJFR.
Semelhante a Monitoring Java Application Security with JDK Tools and JFR Events.pdf (20)
Jlink can be used to build custom Java runtime images with only the modules needed for an application, reducing image size. The jcmd tool allows monitoring native memory usage. JFR (Flight Recorder) can capture and stream performance-relevant JVM and application events to monitoring systems like Prometheus for analysis.
Enhancing Productivity and Insight A Tour of JDK Tools Progress Beyond Java 17Ana-Maria Mihalceanu
Enhancing Productivity and Insight provides an overview of key enhancements to JDK tools since Java 17 to help developers efficiently code, deploy, and monitor applications. It discusses improvements to source and classfile tools like warnings on lossy conversions and possible 'this' escapes. It also covers enhanced usability with single-file execution, improved code examples in documentation with code snippets, and interactive documentation. The document concludes with updates to development and deployment tools like jshell for quick prototyping and jpackage for packaging self-contained applications.
This document provides a roadmap and overview of current and future innovations for the Java programming language. It discusses several projects ("Panama", "Valhalla", etc.) that are aimed at improving performance, usability, and other aspects of Java. It also covers recent language features like records, pattern matching, and string templates that provide more expressive and concise ways to write Java code. The document emphasizes that language changes are made carefully to ensure long-term compatibility. It includes code examples demonstrating how to use various new Java features.
The document discusses upcoming innovations in Java versions 21 and beyond. It highlights new features like Panama, Valhalla, Loom, Amber, Leyden, and ZGC that will improve performance and scalability. It also summarizes the new 6-month release cadence and commercial support for recent Java versions. Additionally, it outlines new language features in Project Amber like record patterns, string templates, and pattern matching for switch statements that will enhance code clarity and developer productivity.
Is it tuning the garbage collector? Writing clean(er) code?
No, the first step is understanding what’s going on in your application!
Performance tuning starts with analysis, and JDK tools can help you gain insights on classes and threads and can perform live GC analysis or heap dump postprocessing: jcmd, jconsole, jstat, jmap and jfr.
We’ll examine the functional visibility areas essential to Java and how these tools provide that information. Moreover, will discuss options on how to integrate information gathered from these tools with widespread monitoring systems like Prometheus.
After this talk, you will be ready to understand what your application spends time on and why so you can start improving its perform
The document discusses various tools for optimizing Java applications in containers, including JLink for creating modular runtime images, Jcmd and Jstat for monitoring memory and garbage collection, JFR for capturing performance events, and techniques for customizing the JVM and recording custom JFR events. It provides an overview of these tools and examples of using them to build efficient container images, monitor applications, and troubleshoot performance issues.
This document provides an overview of tools for optimizing Java applications in containers. It discusses tools like Jlink and Docker for building minimal container images. It also covers profiling tools like JFR and JDK tools for monitoring performance metrics and tuning the JVM. Specific techniques covered include minimizing the Java heap size, tracking native memory usage, capturing custom JFR events, and correlating JVM data with monitoring tools like Prometheus and Grafana.
The document discusses various tools in the Java performance toolbox for building optimized container images, monitoring and profiling Java applications. It describes tools like Jlink, Dockerfile, JFR and JMX for creating minimal custom runtimes, capturing events, tuning JVM flags and correlating data across monitoring systems. Specific techniques covered include using Jlink to build minimal custom Java runtimes, capturing native memory usage with Jcmd, enabling JMX access and collecting statistics with Jstat and Jmap. The document also provides links to resources for further reading.
The document discusses various tools in the Java performance toolbox for building optimized container images, monitoring and profiling Java applications. It describes tools like Jlink, Dockerfile, JFR and JMX for creating minimal custom runtimes, capturing events, tuning JVM flags and correlating data across monitoring systems. Specific techniques covered include using Jlink to build minimal custom Java runtimes, capturing native memory usage with Jcmd, enabling JMX access and collecting statistics with Jstat and Jmap. The document also provides links to resources for further reading.
How Java 19 Influences the Future of Your High-Scale Applications .pdfAna-Maria Mihalceanu
Java 19 introduces several new features and improvements to help applications scale better. These include virtual threads which allow efficient asynchronous programming without blocking threads, pattern matching for more readable code, and improvements to JNI for safer native code integration. Java 19 also deprecates some legacy methods and makes timezone data updates to improve sustainability. Overall, the release focuses on enhancing scalability and maintainability for high performance applications.
The Automation Challenge Kubernetes Operators vs Helm Charts.pdfAna-Maria Mihalceanu
The document compares Kubernetes Operators and Helm charts for automating application deployments and maintenance. Helm charts allow easy prototyping and deployment of stateless applications across environments but do not support automated maintenance of stateful applications. Operators package operational knowledge to fully automate deployments and ongoing maintenance of stateful applications. The document provides examples of using Helm charts to deploy applications and then generating Operators from the Helm charts to add automated maintenance capabilities.
This document discusses exploring Quarkus on Java 17. It begins with an introduction and agenda, then discusses advantages of Java 17 like improved performance and container awareness. It outlines differentiators of Quarkus like developer joy through live coding, unified configuration, and standards-based libraries. Quarkus allows both imperative and reactive programming, has a fast startup time and small memory footprint, and supports many frameworks and extensions through its ecosystem. The document demonstrates Quarkus through a live coding demo.
The document discusses cloud native resiliency patterns and provides an overview of various patterns for building resilience into applications from the ground up. These include load balancing, circuit breaking, retries, deadlines, load shedding, service discovery, locality load balancing, failover, rate limiting, concurrency control, autoscaling, and the interplay between load shedding and autoscaling. Code examples and additional resources are provided.
The document discusses various cloud native resiliency patterns for building resilient applications from the ground up. It describes resilience as the ability of a system to return to its normal behavior after experiencing a fault or unexpected event. The document then provides an overview of several resiliency patterns including load balancing, circuit breaking, retries, deadlines, load shedding, service discovery, locality load balancing, failover, rate limiting, concurrency control, autoscaling, and interplay between load shedding and autoscaling. Code examples and additional resources are provided.
This document discusses cloud native resiliency patterns that can be built from the ground up. It introduces the speaker and defines resilience as the ability to maintain normal behavior despite unexpected events through detection, feedback, and recovery controls. It then outlines several patterns for building resilience, including load balancing, circuit breaking, retries, timeouts, load shedding, service discovery, locality load balancing, failover, rate limiting, concurrency control, autoscaling, and the interplay between load shedding and autoscaling. Code examples are provided in a GitHub repository.
The automation challenge Kubernetes operators vs Helm chartsAna-Maria Mihalceanu
Helm charts and Kubernetes operators both provide tools for automating application deployments to Kubernetes clusters. Helm charts package Kubernetes configurations and allow deploying multiple configurations as a single application, while operators package human operational knowledge to manage applications over their lifetime. Some benefits of operators include maintaining resources securely with HTTPS, creating backups, and configuring clusters, while Helm charts are better for stateless applications where settings don't need ongoing maintenance. The document discusses converting an existing Helm chart to a Kubernetes operator to deploy and automatically manage an application.
The document discusses resilience and techniques for building resilient systems. It describes normal and faulty behavior in systems and how controls like circuit breakers, retries, and fallbacks can be used for feedback, recovery, and detection to mitigate issues. It provides examples of implementing circuit breakers with Istio and load shedding, rate limiting, and concurrency control. It also discusses interplay between autoscaling and load shedding and using fallbacks with Skupper. Code samples are available on GitHub.
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.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
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.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
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!
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
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...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 automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.