Amazon CloudWatch Synthetics fügt Unterstützung für benutzerdefinierte Canary-Gruppen mit Verfügbarkeitsmetriken auf Gruppenebene hinzu

Amazon CloudWatch Synthetics, eine Überwachungsfunktion von außen nach innen zur ständigen Überprüfung Ihrer Kundenerfahrung, selbst wenn es auf Ihren Anwendungen keinen Kunden-Datenverkehr gibt, hat eine neue Funktion zum Erstellen von benutzerdefinierten Canary-Gruppen eingeführt. Durch das Erstellen von Canary-Gruppen können Sie den Erfolgs-/Ausfallstatus auf Gruppen- oder Anwendungsebene verfolgen, haben dabei aber eine leichte Aufschlüsselung zum ausfallenden Canary. Somit können Sie Canary-Ausfälle im Kontext der Gruppe oder Anwendung leichter lokalisieren. Wenn Gruppen Canaries aus mehreren AWS-Regionen enthalten, können Sie mit dieser Funktion leichter regionsspezifische Probleme isolieren.
Quelle: aws.amazon.com

A visual tour of Google Cloud certifications

Interested in becoming Google Cloud certified? Wondering which Google Cloud certification is right for you? We’ve got you covered.Check out the latest#GCPSketchnote illustration, a framework to help you determine which Google Cloud certification is best suited to validate your current skill set and propel you toward future cloud career goals.Follow the arrows to see where you land, and for tips on how to prepare for your certification on Google Cloud Skills Boost: Cloud Digital Leader-This certification is for anyone who wishes to demonstrate their knowledge of cloud computing basics and how Google Cloud products and services can be used to achieve an organization’s goals.Associate Cloud Engineer – This certification is for candidates who have a solid understanding of Google Cloud fundamentals and experience deploying cloud applications, monitoring operations, and managing cloud enterprise solutions.Professional Google Cloud certifications – These certifications are ideal for candidates with in-depth experience working hands-on setting up cloud environments for organizations based on their business needs, and have experience deploying services and solutions.Professional Cloud ArchitectProfessional Cloud DeveloperProfessional Data EngineerProfessional Cloud Database EngineerProfessional DevOps EngineerProfessional Machine Learning EngineerProfessional Network EngineerProfessional Security EngineerProfessional Workspace Administrator Continue along the arrows for tips on how to prepare for your certification, while earning completion badges and skill badges through our on-demand learning platform, Google Cloud Skills Boost along the way.Where will your certification journey take you?Get started preparing for your certification today. New users are eligible for a 30-day no-cost trial on  Google Cloud Skills Boost.Related ArticleMeet the new Professional Cloud Database Engineer certificationGoogle Cloud launches a new Professional certification.Read Article
Quelle: Google Cloud Platform

Join us for a show-and-tell edition of Google Cloud Security Talks

If you’re new to Security Talks, you should know that this program is part of an ongoing series where we bring together experts from the Google Cloud security team, including the Google Cybersecurity Action Team and Office of the CISO, and the greater industry to share information on our latest security products, innovations, and best practices. The Q3 installment of the Google Cloud Security Talks on Aug. 31 is a special show-and-tell edition. We’re not just going to share what you need to know about our portfolio of products, we’re also going to be showing you how to use them as well. The format for this round of Security Talks will be focused on practitioners and emphasize how to apply Google Cloud products in popular use cases. This time, Security Talks sessions will spotlight key use cases and include how-to demonstrations. You’ll be able to glean best practices and see how you can apply these exact same scenarios to your own environment. Our agenda is packed with insightful sessions across Zero Trust, security operations, secure cloud, and more, including:How to leverage SOAR to grow your automated response playbook library’s value – but not the complexityThe ins and outs of protecting critical apps from fraud and botsHow to create and manage compliant environments in Google CloudHow to get started with network-based threat detection in Google CloudGuidance on where to begin your Zero Trust journeyTips for succeeding with your cloud data security strategyGoogle Cloud’s latest security innovations and product updatesAnd don’t miss the live Cloud Security Podcast roundtable featuring Mandiant Senior Director Robert Wallace, Cybereason Security Strategy Director Ken Westin, and our own Office of the CISO Director of Financial Services Alicja Cade in conversation with host Anton Chuvakin. Our esteemed panel will dig into the latest security trends and how to apply what we’ve learned from them to your own environment.  We’re looking forward to seeing you there. Sign up today to reserve your virtual seat. The Google Cloud Security Talks is 100% digital and free to attend. All sessions will be available on demand after the event. Until then, stay secure.Related ArticleJoin us for Google Cloud Security Talks: Zero Trust editionJoin us for Google Cloud Security Talks with sessions focused on zero trust. Learn how you can protect your users and critical information.Read Article
Quelle: Google Cloud Platform

Azure Data Explorer: Log and telemetry analytics benchmark

Azure Data Explorer (ADX), a component of Azure Synapse Analytics, is a highly scalable analytics service optimized for structured, semi-structured, and unstructured data. It provides users with an interactive query experience that unlocks insights from the ocean of ever-growing log and telemetry data. It is the perfect service to analyze high volumes of fresh and historical data in the cloud by using SQL or the Kusto Query Language (KQL), a powerful and user-friendly query language.

Azure Data Explorer is a key enabler for Microsoft’s own digital transformation. Virtually all Microsoft products and services use ADX in one way or another; this includes troubleshooting, diagnosis, monitoring, machine learning, and as a data platform for Azure services such as Azure Monitor, PlayFab, Sentinel, Microsoft 365 Defender, and many others. Microsoft’s customers and partners are using ADX for a large variety of scenarios from fleet management, manufacturing, security analytics solutions, package tracking and logistics, IoT device monitoring, financial transaction monitoring, and many other scenarios. Over the last years, the service has seen phenomenal growth and is now running on millions of Azure virtual machine cores.

Last year, the third generation of the Kusto engine (EngineV3) was released and is currently offered as a transparent, in-place upgrade to all users not already using the latest version. The new engine features a completely new implementation of the storage, cache, and query execution layers. As a result, performance has doubled or more in many mission-critical workloads.

Superior performance and cost-efficiency with Azure Data Explorer

To better help our users assess the performance of the new engine and cost advantages of ADX, we looked for an existing telemetry and logs benchmark that has the workload characteristics common to what we see with our users:

Telemetry tables that contain structured, semi-structured, and unstructured data types.
Records in the hundreds of billions to test massive scale.
Queries that represent common diagnostic and monitoring scenarios.

As we did not find an existing benchmark to meet these needs, we collaborated with and sponsored GigaOm to create and run one. The new logs and telemetry benchmark is publicly available in this GitHub repo. This repository includes a data generator to generate datasets of 1GB, 1TB, and 100TB, as well as a set of 19 queries and a test driver to execute the benchmark.

The results, now available in the GigaOm report, show that Azure Data Explorer provides superior performance at a significantly lower cost in both single and high-concurrency scenarios. For example, the following chart taken from the report displays the results of executing the benchmark while simulating 50 concurrent users: 

Learn more

For further insights, we highly recommend reading the full report. And don’t just take our word for it. Use the Azure Data Explorer free offering to load your data and analyze it at extreme speed and unmatched productivity.

Check out our documentation to find out more about Azure Data Explorer and learn more about Azure Synapse Analytics. For deeper technical information, check out the new book Scalable Data Analytics with Azure Data Explorer by Jason Myerscough.
Quelle: Azure