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For this blog post I want to focus on how you can leverage Dynatrace to get a lot of insight into your plugin code. Part 1 – The code as it stood. The Juniper plugin is an ActiveGate Plugin written in Python, it consists of a script that connects to a Juniper Networks device and collects some facts and metrics about it.
The whole point of the exercise that follows is to allow me to move quickly, spotting patterns from afar, and not having to do any slow or meticulous work yet. I want to be able to form hypotheses and draw conclusions without viewing a single URL or a line of source code. That work is what comes next. Final Word.
How to assess an environment’s security posture, risk and threat profile, and possible attack vectors, where perhaps you didn’t code the application or build the infrastructure, and where new code is deployed frequently, and the infrastructure is constantly changing? And this poses a significant risk.
On the Android team, while most of our time is spent working on the app, we are also responsible for maintaining this backend that our app communicates with, and its orchestration code. Image taken from a previously published blog post As you can see, our code was just a part (#2 in the diagram) of this monolithic service.
More than half of CIOs confirmed that they often make tradeoffs among code quality, security, and reliability to meet the need for rapid software delivery. Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording.
Using a data-driven approach to size Azure resources, Dynatrace OneAgent captures host metrics out-of-the-box to assess CPU, memory, and network utilization on a VM host. Once you have and understand this data, you can identify issues, find opportunities for improvement, and eliminate risks before you go through a costly migration exercise.
In addition to the default Docker namespaces (mount, network, UTS, IPC, and PID), we employ user namespaces for added layers of isolation. Let’s go back to that kernel code example earlier. This, in turn, allows processes to exercise certain privileges without having any privileges in the init user namespace. User Namespaces.
More than half of CIOs confirmed that they often make tradeoffs among code quality, security, and reliability to meet the need for rapid software delivery. Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording.
Where aws ends and the internet begins is an exercise left to the reader. As the scale of the messages being processed increased and we were making more code changes in the message processor, we found ourselves looking for something more flexible. This initial functionality was built out for FireTVs and was expanded from there.
However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Mobile apps, websites, and business applications are typical use cases for monitoring.
Figuring out what kinds of problems are amenable to automation through code. So it behooves a software developer to spot what portions of human activity can be properly automated away through code, and then build that. Because if companies use code to automate business rules, they use ML/AI to automate decisions.
It all starts with a Code of Ethics. “I Outcomes of a code of ethics affect almost every aspect of your user research practice, from processes to templates and team environment. Outcomes of a code of ethics affect almost every aspect of your user research practice, from processes to templates and team environment.
In October there will be an abundance of sessions, events, and coding activities focused on game and mobile app development. Topics include Introduction to AWS, Big Data, Compute & Networking, Architecture, Mobile & Gaming, Databases, Operations, Security, and more. What’s Happening at the AWS Loft. AWS Technical Bootcamps.
This approach is limited by what requestors can observe externally… To expose partial failures, a detector needs to exercise specific code regions with carefully-chosen payloads. All in, OmegaGen is about 8Kloc of Java code, making use of the Soot analysis framework. OmegaGen in action.
Each app was then executed on a physical mobile phone equipped with a custom OS and network monitor. The apps are driven using Android’s Application Exerciser Monkey which injects a pseudo-random stream of simulated user input events into the app (a UI fuzzer). most apps). most apps). Finding out how those apps leak data.
With all of this in mind, I thought improving the speed of my own version of a slow site would be a fun exercise. The code for the site is available on GitHub for reference. Using a network request inspector, I’m going to see if there’s anything we can remove via the Network panel in DevTools.
In my records for the entire day, I put one color code for my work hours and will have a separate diagram specifically to break up my work hours. Exercise/outdoors. Networking. In the image above, I have outlined three sample days which may or may not be from my own days. Large preview ). Completing actual work. Cooking/Eating.
If a PostgreSQL user wants to change these values, they need to recompile the PostgreSQL from the source code. This can be changed later using the pg_checksums utility, but that will be a painful exercise on a big database. For example, the network port at which PostgreSQL listens cannot be changed at the individual database level.
Advent of Code. If you prefer a puzzle over an article, take a look at Advent of Code. Code Security Advent Calendar. If you’re up for a challenge that involves spotting security vulnerabilities, then the Code Security Advent Calendar is just the right one for you. JavaAdvent on Twitter. LeanUXmas on Twitter.
For example, I have a folder full of 1-2 hour sections on various performance topics—the network, how the browser works, fonts, images, service-workers, etc. Exercises are critical. Some people may opt to sit out an exercise or two. The modules are rarely the same from different workshop to workshop.
The idea behind these UI decisions is that a badge would let a user know quickly if a site is loading slowly due to a problem on their end (network issue, internet is down, etc) or if the website is known to be built in a way that loads slowly. Most stemmed from Google exercising too much power with this move.
A couple of things worth noting: All of the sites in the leaderboard sites are pretty speedy, so this is NOT a name-and-shame exercise. Are you using a content delivery network (CDN) to bring elements like images closer to your users, so that delivery times are faster? Use code splitting judiciously. Are images optimized?
Today, when people are working from home, they are using personal or company-provided laptops to connect to the office network. Mostly we are using a virtual desktop to stay connected to the organization’s network. Any technical glitch such as a network bandwidth issue can impact the output of the whole organization. Signup now.
Reshma Saujani, founder of Girls Who Code , spoke about choosing bravery over perfectionism. Connecting with other women in the networking chat rooms was amazing, as well as internally at Tasktop! The statement ‘Every action you take is a vote for the type of person you want to become’ really hit home for me and really inspired me!
Decommissioning Public102 was an exercise in the mundane, gradually transitioning tiny service after tiny service to new homes over the course of weeks, as the development schedule allowed. Unfortunately, the network operations had a cruel surprise for us. You create a new server with the same software and add it to the load balancer.
In the video I explained how I arrived at tracing __iwl_dbg() in this way, and how you can follow a similar approach for tracing unfamiliar code. This is not my best code, since I hacked it in a hurry, but here it is: #!/usr/bin/python usr/bin/python # # iwlstrength.py iwl wifi stregth as audio # For Linux, uses BCC, eBPF.
In the video I explained how I arrived at tracing __iwl_dbg() in this way, and how you can follow a similar approach for tracing unfamiliar code. This is not my best code, since I hacked it in a hurry, but here it is: #!/usr/bin/python usr/bin/python # # iwlstrength.py iwl wifi stregth as audio # For Linux, uses BCC, eBPF.
That is, does SQL Server perform a substitution process whereby it converts the original nested code into one query that goes directly against the base tables? The answer is simple, to shorten the code by having the inner query use the infamous SELECT *. And if so, is there a way to instruct SQL Server to avoid this unnesting process?
Instead, focus on understanding what the workloads exercise to help us determine how to best use them to aid our performance assessment. As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. 4.22 %usr 38.40 0.42 %sys 9.52
Anyone who cares to download and fork the code can do so. " The eventual Blink fork was precipitated by an insurmountable difficulty in doing precisely what Apple suggested to Congress: contributing code upstream to WebKit to enable new features. It's worth assessing these claims from most easily falsified to most contested.
Network metrics have been around for decades, but rendering metrics are newer. The gating factor in web performance ten years ago was network. Hopefully you went through the exercise of picking which rendering metric best corresponds to what you feel is a "good UX". Speed Index. Start Render. Time to First Interactive.
Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? Interacting components in the execution of an MPI job — a brief outline (from memory): The user source code, which contains an ordered set of calls to MPI routines.
Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? Interacting components in the execution of an MPI job — a brief outline (from memory): The user source code, which contains an ordered set of calls to MPI routines.
That is, does SQL Server perform a substitution process whereby it converts the original nested code into one query that goes directly against the base tables? The answer is simple, to shorten the code by having the inner query use the infamous SELECT *. And if so, is there a way to instruct SQL Server to avoid this unnesting process?
There are many possible failure modes, and each exercises a different aspect of resilience. Following the value chain from the business perspective, the first team is the product managers and developers who specify and build the unique code that makes up the business logic of the system.
There are many possible failure modes, and each exercises a different aspect of resilience. Following the value chain from the business perspective, the first team is the product managers and developers who specify and build the unique code that makes up the business logic of the system.
Circa '07, those web apps were notably slower than native code could be. Sandboxing is now universal (tho quality may differ) and we collectively got savvy about running code quickly while retaining memory safety. Browsers are wildly unsafe because they load untrusted code and, therefore, they must use only Apple's ( safe?
Traditionally one of the major costs when moving data in and out of memory (be it to persistent media or over the network) is serialisation. The Twizzler KVS (key-value store) is just 250 lines of C code, and uses one persistent object for the index structure, and a second one for the data. The FOT structure has some pros and cons. .
Network Trace. Looking at network traces helps build our understanding of the problem. Network Layer Overloaded. In contrast to the failing SQL Server login, this is what a network trace looks like when the network layer becomes overloaded and is not completing requests to the SQL Server. Other Schedulers Impacted.
The networking model is asynchronous (allowing out of order, dropped, delayed, and duplicated messages), the failure model is crash-stop. Consider the lab exercise to implement Paxos. The hardest part of the class for many students is learning to think about their code as inherently distributed. Testing and model checking.
Check out our example exercise that follows his methodology using the free tool WebPageTest. (Of Using your website’s web analytics software, you can view the various network connections and identify the slowest popular networks for your audience. Step-by-Step Creation of a Performance Budget. REQUEST A FREE TRIAL.
His point, very Neil Postman-esque, is particularly true in today’s world of entertainment-driven news and fast-moving social networks that I’m increasingly convinced that, by default, only amplify existing biases. The Code Book by Simon Singh 4 ⁄ 5 A fascinating walk through the history of cryptography! Great starting point!
We parallelize rerun jobs with Titus , Netflix’s container management platform, which allows us to exercise many hundreds of replay files in minutes. Here’s an attempt to represent this logic with some pseudo code: [link] There is a limit on the throughput you can get out of a single HTTP connection to S3.
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