Thu.Feb 16, 2023

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Azure Observability

DZone

In this article, we will explore Azure Observability, the difference between monitoring and observability , its components, different patterns, and antipatterns. Azure Observability is a powerful set of services provided by Microsoft Azure that allows developers and operations teams to monitor, diagnose, and improve the performance and availability of their applications.

Azure 258
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Dynatrace ‘DevSecOps Lifecycle Coverage with Snyk’ eliminates security coverage blind spots

Dynatrace

The number of containers pushed from development into production continues to increase—as does the speed of container deployment. This introduces challenges for security and development teams. “By 2027, more than 90% of global organizations will be running containerized applications in production, which is a significant increase from fewer than 40% in 2021.” — Gartner, 2023 Frequent deployments, rollbacks, feature-flag changes, and progressive delivery make it increasingly complex to understand

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GraphQL vs Protobuf: Differences, Similarities, and Uses

DZone

Both GraphQL and Protocol Buffers (Protobuf) are types of formats for transferring data between client and server. Each has its own set of advantages and disadvantages, and are used in different contexts, depending on the specific requirements of an application. GraphQL is a query language and API runtime designed to provide a consistent and flexible way to fetch and manipulate data.

Servers 256
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Modern observability is no longer optional on the path to digital transformation

Dynatrace

The benefits of the cloud are undeniable. With increased scalability, agility, and flexibility, cloud computing enables organizations to improve supply chains, deliver higher customer satisfaction, and more. But the cloud also produces an explosion of data. And with that data comes the thorn to the cloud’s rose: increased complexity. “The cloud is delivering an explosion of data and an incredible increase in its complexity.

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OpenTelemetry Auto-Instrumentation With Jaeger

DZone

In earlier days, it was easy to deduct and debug a problem in monolithic applications because there was only one service running in the back end and front end. Now, we are moving toward microservices architecture, where applications are divided into multiple independently deployable services. These services have their own goal and logic to serve. In this kind of application architecture, it becomes difficult to observe how one service depends on or affects other services.

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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. As observability and security data converge in modern multicloud environments, there’s more data than ever to orchestrate and analyze. The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes.

Analytics 190
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O11y Guide: Building Your First Dashboard

DZone

In this installment of the series covering my journey into the world of cloud-native observability, I'm continuing to explore an open-source dashboard and visualization project. If you missed any of the previous articles, head on back to the introduction for a quick update. After laying out the groundwork for this series in the initial article, I spent some time in the second article sharing who the observability players are.

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Regression Testing Tutorial: Comprehensive Guide With Best Practices

DZone

Regression testing is a software testing process executed after making modifications or upgrades to a software application and re-tests the application areas that may have been affected by the fix. It can be performed manually and automatically by running a specific set of test cases. When a software product undergoes alterations in the existing features, bug fixes, and the addition of new features, regression testing aims to ensure that after these alterations, the product works as expected.

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Using modern observability to chart a course to successful digital transformation

Dynatrace

As organizations strive to digitally transform, innovate, and grow in today’s fast-paced environment, they have increasingly turned to cloud technologies to enable business goals. Yet, as organizations embark on a cloud migration journey, they face overwhelming cloud complexity and an explosion of data to manage. And although technology has become more central to their business strategies, they are juggling many priorities in digital transformation.

Analytics 175
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ChatGPT Won’t Replace MySQL DBA – An Example of a Question About Encryption at Rest

Percona

ChatGPT is the hottest topic in the tech world right now. One story even says that ChatGPT has passed Google’s Level 3 programming interview. I wondered, does that mean ChatGPT is ready to replace MySQL DBAs, too? No. Let me show you why. Recently, one of our clients was considering encrypting their data at rest using the Percona file-based keyring plugin.

Database 116
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USENIX SREcon APAC 2023: CFP

Brendan Gregg

USENIX's SREcon conference is the best venue for learning the latest in systems engineering (not just site reliability engineering) and if you have useful production stories and takeaways to share -- especially if you are in the Asia/Pacific region -- please consider submitting a talk proposal to [SREcon APAC 2023]. The [call for participation] ends on March 2nd, only two weeks away.

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Sydney and the Bard

O'Reilly

It’s been well publicized that Google’s Bard made some factual errors when it was demoed, and Google paid for these mistakes with a significant drop in their stock price. What didn’t receive as much news coverage (though in the last few days, it’s been well discussed online) are the many mistakes that Microsoft’s new search engine, Sydney, made.

Google 87
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USENIX SREcon APAC 2023: CFP

Brendan Gregg

USENIX's SREcon conference is the best venue for learning the latest in systems engineering (not just site reliability engineering) and if you have useful production stories and takeaways to share -- especially if you are in the Asia/Pacific region -- please consider submitting a talk proposal to SREcon APAC 2023. The call for participation ends on March 2nd, only two weeks away.

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Fixing Go’s Linker: An Unexpected Journey into ARM64, DWARF, and Linker Internals

Uber Engineering

Uber’s engineers are always giving back to the Open Source community. In this blog we deep dive into the internals of the ARM64 port for Go linker and how we debugged its misbehavior on Apple Silicon hardware.

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Why Monetizing 5G is Becoming a Reality

VoltDB

The post Why Monetizing 5G is Becoming a Reality appeared first on Volt Active Data.

IoT 52