Evrone

Some questions keep us awake at night. For example, evaluating a project by the number of lines of code committed per month. If you too wake up in a cold sweat, there is a solution. Today we’ll talk about DORA metrics: why they’re needed and what exactly they measure. We won’t do it alone, but together with Arina Goncharenko, a DevOps engineer from Lamoda Tech. So, DORA divides metrics into speed and stability: lead time for changes and deployment frequency show how quickly you deliver code, while change failure rate and mean time to restore indicate how reliably releases work. Together they help identify bottlenecks and understand where improvement is needed. 👀 These indicators are important not for comparing yourself with other teams, but for your own growth: DORA emphasizes that metrics serve as both leading and lagging indicators. 📌You can read more about what DORA metrics are and how they are used to detect issues with long recovery times in our cards. And keep an eye on our updates — there will be plenty of useful information 😉 #devops #dora #dorametrics #cicd #observability #leadtime #deploymentfrequency #mttr #changefailurerate #engineeringmetrics

Go is the kind of language your mom would approve of — clean, simple, and well-behaved. But the deeper you dig into the code, the more hidden traps you find that no one talks about on GitHub. Today we’re unpacking the classic Go mistakes that can wreck your code and confuse even experienced devs 😅 Embedded types look handy at first, but they can easily create method conflicts. Maps suddenly “leak” when multiple goroutines write to the same one without synchronization. Errors are returned as a second value — and just as easily ignored until they show up as production bugs. Then there’s everyone’s favorite interface{} — it looks universal, but strips away type safety, turning your project into a mess of manual checks. Add pointer receiver confusion, where a single wrong choice means your type no longer satisfies an interface, and your “simple” language becomes a full-blown puzzle. 📌Go forgives a lot — but not carelessness. Check out the slides for 5 common traps so you can skip stepping on the same ones 😌 #golang #godev #goprogramming #softwareengineering #backend #devtips #coding #cleanarchitecture #programminglife #golangcommunity

It may seem like DevOps developers and Marvel’s “new Avengers” have nothing in common, but that's not entirely true. What they have is Sentry! The punchline still needs a little polishing 😅 But the comic book character Sentry is actually quite similar to the tool we’re talking about today. As the name suggests, Sentry watches over errors inside your application and collects comprehensive context. And yes — it’s a true buddy for developers, testers, and DevOps. ⚙️Instead of guessing why something went wrong for users, Sentry shows the full picture: from the release down to the specific user. This way, bugs are caught before they flood your support inbox, and releases become more predictable and less stressful. 🔨In Sentry, each error is displayed as a handy card with environment, release, and the number of affected users. This lets developers instantly identify the root cause and assess its severity. Add in smart alerts, issue grouping, and integrations with Slack, GitHub, and Jira — and you’ve got the full toolkit. 📌In short, Sentry turns the chaotic “looks like prod just went down” into the clear “we know where, why, and who’s on it.” Find even more tips and insights about Sentry, other tools, and tech stacks on our website 👉 https://evrone.com/ #sentry #devops #bugtracking #errorhandling #monitoring #debugging #softwaredevelopment #developerlife #reliability #techtools

Today we’re diving into the acronym WASM. Its full name is WebAssembly. The “Web” part is obvious, but “Assembly” deserves a closer look. WASM is a portable bytecode format and a compact sandboxed virtual machine: one binary, many platforms, predictable execution, and strict access boundaries. Its core value lies in isolation and reproducibility. You build a module and run it across different environments without a dependency zoo—reducing deployment surprises and making it easier to scale computations confidently. 📡 WASI lets a module talk to the outside world. Think of it as a standard connector: access to files, network, and clocks, but everything is closed by default. You enable only what you need. 📀 Next comes the Component Model—a way to assemble applications from separate modules like building blocks, even if they’re written in different languages. The result: easier updates for individual parts and simpler guarantees of service speed and availability. 💡 How does it fit into the web stack? Picture it like this: the host is your main application, and the guest is a WASM module in its sandbox. The host calls the guest whenever you need to safely and independently execute a piece of logic (yes, even in web servers like angie). If you have any question about how to boost your code, ask us 😉 📌 Website link: https://lnkd.in/eSHjdCuv #webassembly #wasm #wasi #componentmodel #webdev #backenddevelopment #sandboxsecurity #crossplatform #performanceengineering #techexplained

Today’s topic is the Percolator. That coffee-brewing method where water runs through the grounds again and again… wait, wrong script. Let’s try again 🧐 In general search, a percolator is the reverse logic: we pre-store queries, then run new documents through them and instantly see what matched. This shines where the data stream is too heavy for manual handling. 💡Classic search answers “find a document for this query.” Percolator flips it: “which queries should fire on this document?” Two practical ways to do it: 🎛️ Elasticsearch: create an index that stores queries and call percolate for each new document, adding pre-filters and sharding by topic for speed and isolation. 📺 Sphinx (and compatible engines): keep queries separately, run the document through the percolation mechanism, and get matching IDs out. Plays nicely with RT indexes and metadata—if you design the schema up front. To argue less and measure more, look at benchmarks: p50/p95 latency, throughput, CPU and memory load, and the gap between cold and warm cache. 📌 More details and other cases are waiting on the our website. We’ll show configs and explain how to keep your SLAs without hacks 🤔 Website link 👉 https://evrone.com/cases #percolatorsearch #elasticsearch #sphinxsearch #informationretrieval #searchengineering #realtimeindexing #benchmarking #p95latency #throughput #sla

Let’s step away from pipelines and talk about human expertise. It’s the kind of capital we at Evrone have been compounding for years—and we’re not shy about it. Leveling up mentorship and keeping an atmosphere where a junior isn’t afraid to ask one more question… is hard work, honestly. 👀 📈 Plenty of studies agree: psychological safety is the prime engine of team effectiveness (and yes, for the next two minutes we’ll pretend we’ve got a Gestalt Institute diploma). So here’s what actually works. 💡 A mentoring culture shortens time-to-autonomy—boosting engagement and quality. Every junior has a clear growth roadmap; mid-levels level up into mentors with goals and metrics. Regular 1:1s, pair programming, and release debriefs. We convert individual know-how into shared practice, not a dusty Notion or Git archive. 💎 Processes & artifacts. A single wiki anyone can dive into: code-style standards, onboarding guides, postmortems, best practices. Cross-project reviews bring fresh eyes and transfer expertise across teams. 📲 Open internal meetups and AMAs lower barriers, speed up context sharing, and reinforce the mentoring culture. The result: a higher practice “rating”—fewer manual crutches, steadier delivery, happier stakeholders. Some may find this post secondary or “not that useful,” and that’s fine—it isn’t meant to reveal arcane coding secrets. Just think how many great ideas and people get fed into the process meat grinder without a helping hand—and go unnoticed. 📌 If your values are align with our company's policies and you want to work in a team full of pros and build something by making a difference, welcome to our website. We're counting on you 😉 Website link 👉 https://jobs.evrone.com/ #engineeringculture #mentorship #psychologicalsafety #knowledgesharing #pairprogramming #onboarding #codereview #crossprojectreviews #internalmeetups #techleadership

Building a communal apartment for those in prod—no joke. We’re breaking down tenant-localization levels in Kubernetes through the very serious lens of a shared flat. Start with namespaced tenants: everyone shares one cluster but lives in different rooms (namespaces, policies, quotas). Then there’s dedicated k8s—like a separate apartment on the same floor: a client gets their own cluster, with hard isolation and clear ownership. We sanity-check it all against the Kubernetes MultiTenancy Benchmark, our version of the building inspector’s codebook. Now, the common areas. CPU & RAM are the kitchen: whoever cooks sets their limits/requests—no limits, no dinner. Storage (ROM) & Net are the bathroom: storage classes, PVC, QoS, plus network policies and shaping—skip them and the whole place floods. /proc is the living room: what processes can “see” inside containers; lock it down with seccomp and capabilities so neighbors don’t eavesdrop through thin walls. Ingress/Egress is the hallway. Ingress lets visitors in (controllers, routing, TLS). Egress decides who’s allowed out and where (egress policies, NAT, egress gateway) so traffic doesn’t wander the building unsupervised. And if you need complex engineering or a no-nonsense consultation, ping us sooner rather than later—we’ll help choose the right model and build it without drama 😉 Website link 👉 https://evrone.com/ #kubernetes #k8s #multitenancy #namespaces #ingressegress #k8ssecurity #resourcelimits #cloudnative #platformengineering #devops

Back to basics: our legendary series returns in a new format. This time, C++ is in the spotlight. We’ll break down where C++ truly shines, why it matters to engineers, and which decisions it enables at the hardware level—not just in syntax. Get comfortable—we’re kicking off a crash course. When response time, stability, and resource control matter, C++ delivers predictable behavior and high performance. It’s the choice for workloads where errors or latency are costly. We’ll show how the language helps meet SLAs and why that shapes architecture and total cost of ownership. To make it concrete, let’s start with four short notes—applying OOP patterns in modern C++ projects, JsonCpp, static analysis, and void—see the quick breakdowns below. 1️⃣ Applying OOP patterns in modern C++ projects Modern C++ uses OOP patterns selectively to improve boundaries and maintainability without sacrificing performance. Prefer composition over inheritance, value semantics with RAII, and interfaces via pure virtuals, type erasure, or concepts when dynamic dispatch isn’t required. 2️⃣ JsonCpp JsonCpp is a C++ library for parsing, building, and serializing JSON documents. Use it for configuration and API payloads, but validate inputs, avoid unnecessary copies with move semantics, and preallocate when processing large trees. 3️⃣ Static analysis Static analysis surfaces undefined behavior, memory errors, and concurrency issues before runtime. Integrate it into CI with severity thresholds and baselining so new warnings fail the build while legacy noise is tracked and paid down. 4️⃣ Void me In C++, void signals “no return value,” and void* is a generic untyped pointer for interop. Prefer typed pointers or std::byte for buffers, forbid arithmetic on void*, and document ownership and alignment explicitly when crossing boundaries. That’s just the beginning. Keep in touch with our team for the latest updates. And if you want to upgrade your company’s tech — contact us 😉 Link 👉 https://evrone.com/ #cpp #moderncpp #systemsprogramming #highperformance #lowlatency #embedded #hpc #staticanalysis #memorymanagement #softwarearchitecture

Neural nets took over the feed. Hundreds of overnight “experts” teach you how to tame AI assistants, analysts ship charts about model ROI, and LLM startups pop up like mushrooms after rain. Let’s say it out loud: optimization and AI are are crucial now. But there’s a catch. Do you fine-tune an off-the-shelf GPT, or build your stack from scratch? Let’s break it down. The “plug in and go” method is perfect for small teams without strict protocols. In the enterprise, though, LLM infrastructure gets… spicier (endless audits and 2 a.m. calls with security). 🔐 First: data security. A third-party API means someone else’s logs, access rights, and mile-long NDAs, plus shared pain if anything leaks. In a closed environment you control access, logs, and storage end-to-end. 💳 Second: reliability and budget. With an external SLA, you’re at the mercy of someone else’s queues and rate whims. One hour of downtime can cost more than a year of “Pro.” Your own stack = your SLOs, isolation, failovers, and predictable availability. 📈 Third: economies of scale. The more users, the more it hurts to pay per token — and the stricter the limits. On your side, you manage inference cost, caching, QoS, and you don’t hobble UX because of rate limits. 📍And most importantly — control. Offline evals, A/B, access policies, guardrails, and trimming the “extra” at the prompt/permissions layer under your governance, not behind a vendor’s feature flag. In truth, the choice is yours. We’ve distilled the trade-offs to help you land on the best path. Already made up your mind? Great — reach out to us, and we’ll walk through architecture, risks, timelines, and budget together 😉 #llminfrastructure #enterpriseai #privateai #datasecurity #llmops #aiinfrastructure #selfhostedai #rag #modelgovernance #evrone Website link 👉 https://evrone.com/

How we took on the corporate jungle, where finding the right person or info feels like a side quest. Here’s the story🫡 At the core of HROOTS is an interactive map built with deep structural logic. It reveals connections and roles, cutting down the journey from “who do I even talk to?” to actually getting things done — no need to dig through outdated org charts or wait hours (or days) for replies. In just three months, together with the team at Singula, we not only launched our MVP but also stress-tested it in a real corporate environment. The first wave of feedback came in fast — and immediately shaped the next iteration of the product. Already, the service is saving HR teams hours and helping new employees integrate without the usual pain and confusion. All the details are up on the site! If your company’s communication is pure chaos (0% judgment, 100% empathy), now’s the time to bring in some structure. We know the way😉 #hroots #corporatetool #teamnavigation #hrtech #productlaunch #startupcase #organizationmap #worksmarter #internalcomms #nocorporatechaos