In this article, I will tell you about a-few-years journey of scaling the Elasticsearch cluster in production environment, which is one of the vital elements of the iPrice technology stack.
I will describe challenges we encountered and how we approached them.
In this article, we would like to compare the core mathematical bases of the two most popular theories and associative theory.
In this article I have described problems I have faced during integration Apache Camel with Spring Boot Actuator Prometheus for collecting metrics and my solution to solve this problem (which I haven't found over the internet).
In this article I'd like to describe different traffic mirroring options for HPE Virtual Connect modules. I try to answer two questions: "What options work and why?" and "How different traffic mirroring cases can be implemented?"
Sometimes all of us need to make a graphical installer for one's own linux distro. It goes without saying that you are able to use a distro-specific installer like Anaconda for RedHat-based or DebianInstaller for debian-based. On the other hand Calamares is a graphical installer which is not aligned with only one package manager.
I want to share my experience how to make a universal install solution with GUI. I did not find any complete article about it, hence, I reinvented the wheel.
The spread of cryptocurrencies contributed to the development of many solutions based on a distributed ledger technology (blockchain). Although the scope of these solutions varies, most of them have the same basic set of security services, i.e. confidentiality, authenticity, and integrity. These features are granted by the practical applications of public key cryptography, in particular, digital signature (DS). But unlike many other applications of public key cryptography, cryptocurrency networks do not use public key certificates. This is the aspect that we would like to talk about.
This is a set of chapters for young engineers. We give practical advice and discuss goals, challenges and approaches used in modern software engineering.
Along with classical foundations this article contains original ideas of conceptualizing engineer's work with emphasis on bringing order to the situation and finding an insight. Engineering is approached as work in uncertainty with other people which requires special skills. Non-obvious complications regarding modern production in big companies are discussed.
This article is based on 15 years of experience in engineering and management in high-tech industries.
2021 was an action-packed year for Qrator Labs.
It started with the official celebration of our tenth year anniversary, continued with massive routing incidents, and ended with the infamous Meris botnet we reported back in September.
Now it is time to look at the events of the last quarter of 2021. There are interesting details in the BGP section, like the new records in route leaks and hijacking ASes, but first things first, as we start with the DDoS attacks statistics.
I reinstalled both Windows and Linux (Fedora) recently on a notebook PC, and I decided to write the summary article about my experience with both OS. I'm also going to describe how to configure each OS via command-line and set up a dual-boot system.
In any history textbooks, the modern time has already been called the time of the next change of the industrial structure or the fourth industrial revolution (Industry 4.0). The main role, in this case, is given to information and IT systems. In an attempt to reduce the cost of IT infrastructure, unify and accelerate the process of developing IT solutions, humanity first invented "clouds" in order to replace traditional data centers, and then containers to replace virtual machines.
Clearly, containers appear more vulnerable from a security point of view. What are the advantages of containerization over virtualization? In fact, there are quite a lot of them:
• the possibility of more flexible use of available resources (no need to backup them as in the case of virtual machines);
• the ability to save resources (no need to spend them on many copies of the OS for each virtual machine);
• no delays at startup (just start of the process is almost instantaneous compared to the time needed to load the virtual machine);
• the interaction between processes, even if isolated, is much easier to implement when needed than between virtual machines. That is how, by the way, came the concept of microservices, which has recently become very popular.
All of the above led to the very rapid development of container technologies, despite the recurring problems with the security of already deployed container cloud systems, their hacks, and data leaks. Accordingly, the work on strengthening container security is also continuing. This is what will be discussed further in this article.
DDoS attacks send ripples on the ocean of the Internet, produced by creations of various sizes - botnets. Some of them feed at the top of the ocean, but there also exists a category of huge, deep water monstrosities that are rare and dangerous enough they could be seen only once in a very long time.
November 2021 we encountered, and mitigated, several attacks from a botnet, that seems to be unrelated to one described and/or well-known, like variants of Mirai, Bashlite, Hajime or Brickerbot.
Although our findings are reminiscent of Mirai, we suppose this botnet is not based purely on propagating Linux malware, but a combination of brute forcing and exploiting already patched CVEs in unpatched devices to grow the size of it. Either way, to confirm how exactly this botnet operates, we need to have a sample device to analyze, which isn’t our area of expertise.
This time, we won’t give it a name. It is not 100% clear what we are looking at, what are the exact characteristics of it, and how big this thing actually is. But there are some numbers, and where possible, we have made additional reconnaissance in order to better understand what we’re dealing with.
But let us first show you the data we’ve gathered, and leave conclusions closer to the end of this post.
Hi everyone, today I will tell how I restored a defunct LVM thinpool. Unfortunately I could not find any howtos or manuals on the internet, so maybe this one will help someone in a similar situation.
Hello, everybody!
My name is Alexander Zubkov and today I’d like to talk about routing loops.
This is the translation of my speech at T-Meetup: DevOps Life Cycle.
I believe that you have heard about SDLC (Systems development life cycle). Is it possible that the same things are applicable for the IaC?
JiraCLI is an interactive command line tool for Atlassian Jira that will help you avoid Jira UI to some extent. This tool is not yet considered complete but has all the essential features required to improve your workflow with Jira.
The tool started with the idea of making issue search and navigation as straightforward as possible. However, the tool now includes all necessary features like issue creation, cloning, linking, ticket transition, and much more.
The tool supports both jira cloud and on-premise jira installation since the latest release.
Once upon a time our DBA team had a task. We had to move a ZooKeeper ensemble which we had been using for Clickhouse cluster. Everyone is used to moving an ensemble by moving its data files. It seems easy and obvious but our Clickhouse cluster had more than 400 TB replicated data. All replication information had been collected in ZooKeeper cluster from the very beginning. At the end of the day we couldn’t miss even a row of data. Then we looked for information on the internet. Unfortunately there was a good tutorial about 3.4.5 and didn’t fit our version 3.6.2. So we decided to use “the extending” for moving our ensemble.
Everyone who runs the static analyzer on a project for the first time is slightly shocked by hundreds, thousands or even tens of thousands of warnings. It may be frustrating. Is my code so terrible? Or is the analyzer lying? In any case, filtering by the severity changes the situation, not completely though. That's why we thought about how we could improve the first experience with the analyzer. Let me show you the new feature step by step...
The third quarter of 2021 brought a massive upheaval in the scale and intensity of DDoS attacks worldwide.
It all led to September when together with Yandex, we uncovered one of the most devastating botnets since the Mirai and named it Meris, as it was held accountable for a series of attacks with a very high RPS rate. And as those attacks were aimed all over the world, our quarterly statistics also changed.
This quarter, we've also prepared for your consideration a slice of statistics on the application layer (L7) DDoS attacks. Without further ado, let us elaborate on the details of DDoS attacks statistics and BGP incidents for Q3, 2021.
I am not an economist, but in light of current events with cryptocurrencies and the economy in general, I would like to share my thoughts on some kind of ideal economy, around which everything is happening now.
I had some experience in the matching engine development for cryptocurrency exchange some time ago. That was an interesting and challenging experience. I developed it in clear C++ from scratch. The testing of it is also quite a challenging task. You need to get data for testing, perform testing, collect some statistics, and at last, analyze collected data to find weak points and bottlenecks. I want to focus on testing the C++ matching engine and show how testing can give insights for optimizations even without the need to change the code. The matching engine I developed can do more than 1’000’000 TPS (transactions per second) and is 10x times faster than the matching engine of the Binance cryptocurrency exchange (see one post on Binance Blog).