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OpenTelemetry is enhancing GenAI observability : By defining semantic conventions for GenAI and implementing Python-based instrumentation for OpenAI, OpenTel is moving towards addressing GenAI monitoring and performance tuning needs. In 2025, we expect to see the first releases, so youll be able to test out this innovative technology.
To completely fine-tune the java performance bottlenecks for high performance my answer is YES. Java memory management is a significant challenge for every performance engineer and Java developer, and a skill that needs to be acquired to have Java applications properly tuned.
The iterative experimentation supported by A/B testing can serve as a valuable mechanism to fine-tune algorithms and the overall user experience across services in multiple sectors under the right conditions. Not only do these methods enhance peoples productivity they develop trust and satisfaction from users as well.
In my last post , I started to outline the process I go through when tuning queries – specifically when I discover that I need to add a new index, or modify an existing one. This is where index tuning becomes an art. Step 6: Testing. Once we have that data, we can move on to the next steps in the process.
Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This approach has a handful of benefits.
A performance engineer is actually a professional performance testing and engineering expert with in-depth knowledge of many load-testing tools like LoadRunner, JMeter, Neoload, Gatling, K6, etc., and must have extensive experience in specialized skills.
The three most pertinent requirements are the need for tracking impact tolerances, business service mapping, and testing critical services. Testing using synthetic monitoring enables firms to fine-tune the parameters of individual tests.
DJ stands out as an open source solution that is actively developed and stress-tested at Netflix. Training: We created easy-to-provide feedback using and with a fully integrated fine-tuning loop to allow end-users to teach new domains and questions around it effectively.
A central element of platform engineering teams is a robust Internal Developer Platform (IDP), which encompasses a set of tools, services, and infrastructure that enables developers to build, test, and deploy software applications. Test : Playwright executes end-to-end tests.
The three strategies we will discuss today are AB Testing , Replay Testing, and Sticky Canaries. To launch Phase 1 safely, we used AB Testing. To launch Phase 2 safely, we used Replay Testing and Sticky Canaries. We knew we could test the same query with the same inputs and consistently expect the same results.
We’re happy to say that we’ve already tested and begun support for ? Please join us in congratulating the R&D team s that mad e th is possible, and stay tuned for further announcements. . Live kernel patching for critical and selected important CVEs . A pplication whitelisting . Dynatrace Managed version 1.186 ?with
Cost optimization: Immediate responses to tag changes lead to informed decisions about scaling, shutting down unused instances, or fine-tuning resource efficiency. Proactive site reliability: Automated guardians can monitor the four golden signals , enabling proactive reliability measures. Now, let’s get started with the setup!
RASP capabilities aim to close the gap left by application security testing and network perimeter controls such as web application firewalls (WAFs). Static application security testing (SAST) analyzes code for common security coding errors. These limitations include the following: High tuning and monitoring overhead.
Tuning thousands of parameters has become an impossible task to achieve via a manual and time-consuming approach. The following figure shows the high-level architecture where any load testing solution (e.g. SREcon21 – Automating Performance Tuning with Machine Learning. The Akamas approach. Additional resources.
It helps you identify errors, analyze areas of struggle, and provides tons of analytical data for your testing teams. Data masking rules enable you to fine-tune and customize masking to protect any sensitive data that may be captured by your applications. Stay tuned and watch this space for upcoming announcements!
The regulation covers areas like Information and Communication Technology (ICT) risk management, third-party risk, digital operational resilience testing, and reporting of major ICT-related incidents to competent authorities. The Dynatrace data-centric approach ensures compliance isn’t a burden; it’s an opportunity to fine-tune operations.
Testing automation can be painstaking. It’s also crucial to test frequently when automating IT operations so that you don’t automatically replicate mistakes. Expect to spend time fine-tuning automation scripts as you find the right balance between automated and manual processing. Monitoring automation is ongoing.
Modern web applications rely heavily on Content Delivery Networks (CDNs) and 3rd-party integrations (for example, web analytics, tag managers, chat bots, A/B testing tools, ad providers, and more). In Part 1 we’ll dive into: The need to extend synthetic tests to cope with the CDN-error blind spot. Stay tuned for Part 2.
Today, engineers are spending an increasing amount of time developing and testing code in production-like environments. Challenges in testing environments Testing is no longer just a standalone phase sandwiched somewhere in the middle of the development process. It’s no longer just about testing isolated bits of code.
Layers This flame graph shows a simple program for SYCL (a high-level C++ language for accelerators) that tests three implementations of matrix multiply, running them with the same input workload. I know of companies where flame graphs are a daily tool that developers use to understand and tune their code, reducing compute costs.
Operations refers to the processes of managing software functionality throughout its delivery and use life cycle, including monitoring system performance, repairing defects, testing after updates and changes, and tuning the software release system. The same holds true of DevSecOps initiatives.
One way the agency saves money and resources is by shutting down the test environment every night and on the weekends. Tune in to the full episode to learn more about the UK Home Office’s cloud journey and how Dimitris navigates this large-scale environment to deliver essential services efficiently.
Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. For testing purposes, let’s increase this to 256MB and see if there is any impact on cost.
Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. These new applications are a great way for enterprise companies to test out PostgreSQL before migrating their entire infrastructure. Compare Ease of Use.
Application security tests can be used to tell developers when they have introduced vulnerabilities into the application they’re building. Static Application Security Tests (SAST) analyze applications early in the pipeline when they are being written. Good web application security starts when the application is being developed.
To improve the naming of our navigation menu entries, we will soon conduct A/B testing for one of the main entry points to the Dynatrace navigation menu. When testing it, one of our many findings was that developers and devops do not necessarily expect profiling to be included under ” diagnostic tools” as they are now.
You can also use it to test different OpenTelemetry features and evaluate how they appear on backends. Traces, metrics, and logs are already well covered, but interesting enhancements are being made frequently, so stay tuned. Moreover, you can use it as a framework for further customization.
The test utilized a MySQL dataset created using Sysbench which had 3 tables with 50 million rows each. MySQL Test Bed Configuration. Stay tuned for my follow-on blog post with more details! Performance Benefits of Rolling Index Creation. We did a small experiment to understand the performance benefits of Rolling Index Creation.
Artisan Crafted Images In the Netflix full cycle DevOps culture the team responsible for building a service is also responsible for deploying, testing, infrastructure, and operation of that service. Now each change in the infrastructure is tested, canaried, and deployed like any other code change.
As microservices and automation continue to drive API usage, most organizations have either already introduced, or plan to introduce, an API testing process. With Dynatrace Synthetic you can easily create API tests with synthetic monitors. Now we’re making it easier for you to test APIs that are secured by OAuth 2.0!
Our current coverage of versions, distributions, and platforms is really impressive, though be aware that Dynatrace only tests and provides support for installation of OneAgent on a specific list of systems. The list is constantly being updated as new releases are tested and old releases are deprecated. What about Dynatrace Managed?
Our previous blog post presented replay traffic testing — a crucial instrument in our toolkit that allows us to implement these transformations with precision and reliability. Compared to replay testing, canaries allow us to extend the validation scope beyond the service level.
Validation tasks are then extended left to cover performance testing and release validation in a pre-production environment. Resilient applications with chaos testing in pre-production Another Dynatrace team uses a guardian as a safeguard during chaos testing.
PostgreSQL DigitalOcean Performance Test. Next, we are going to test and compare the latency performance between ScaleGrid and DigitalOcean for PostgreSQL. Here is the configuration we used for the ScaleGrid and DigitalOcean benchmark performance tests highlighted above: Configuration. Compare Pricing. Benchmark Tool.
We’re happy to say that we’ve already tested OneAgent version 1.167 with RHEL 8 and we’re now in the process of wrapping up the certification process for Dynatrace OneAgent with Red Hat. Please join us in congratulating Red Hat on this release, and stay tuned for further announcements.
These streams use the same production encoding recipes so they are representative of production streams, but have the addition of extreme cases to stress test the decoder. The Client and UI Engineering team built a certification test with these streams to analyze both the device logs as well as the pictures rendered on the screen.
Keptn closes the loop of planning, testing, deployment, and analysis in Agile-like environments with the help of quality gates defined by service- and business-level indicators. For many organizations, the work needed to establish SLOs and BLOs and set up testing quality gates based on these standards can be daunting.
To stay tuned, keep an eye on our release notes. Test connection button for CloudFoundry settings and Kubernetes cluster settings pages is now disabled for users with missing `settings:write permissions`. Classic user sessions page end-of-life. New features and enhancements. Application Security. APM-369109). User Interface.
It has undergone security analysis and testing in accordance with AWS requirements. Stay tuned for more news about the availability of trace ingest in the coming months. It enables users to send telemetry data to AWS CloudWatch metrics, traces, and log backends, as well as to supported backends like Dynatrace. Seeing is believing.
Weve seen this across dozens of companies, and the teams that break out of this trap all adopt some version of Evaluation-Driven Development (EDD), where testing, monitoring, and evaluation drive every decision from the start. What breaks your app in production isnt always what you tested for in dev! The way out?
It was a great excuse for running a split test. Netlify supports branch-bases split testing , so first up was implementing instant.page on a separate branch. All that was left was to see if the split testing was actually working. Sure enough, there was instant.page—the split test was working. And that was it.
If we were to select the most important MySQL setting, if we were given a freshly installed MySQL or Percona Server for MySQL and could only tune a single MySQL variable, which one would it be? To be fair, that is also true with PostgreSQL; it hasn’t been tuned either, and it, too, can also perform much better.
Use Cases and Requirements At Netflix, our counting use cases include tracking millions of user interactions, monitoring how often specific features or experiences are shown to users, and counting multiple facets of data during A/B test experiments , among others. We hope you found this blog post insightful.
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