Download LogDNA

Author: f | 2025-04-24

logdna logdna. by: logdna 7.8M Installs logdna/terraform-provider-logdna latest version 1.16.0. Published a year ago Provider Downloads All versions

GitHub - logdna/logdna-agent: LogDNA Agent

IBM Log Analysis with LogDNA の東京リージョンがサービスインしていた6月4日(火)にIBM Log Analysis with LogDNA の東京リージョンがサービスインしていたので早速、東京にプロビジョニングしたIBM Cloud Kubernetes Service (IKS)のログ監視を試してみました。その時の手順を備忘録として残しておきます。IBM CloudのLogDNAはなんぞやなどは下記の投稿やサイトを見ると理解できることでしょう。@asasaki さんのLogDNA で IBM Cloud のログ監視をしてみた Log Analysis with LogDNA 入門チュートリアル Log Analysis with LogDNA による Kubernetes クラスター・ログの管理 Log Analysis with LogDNA の導入は3ステップのみで簡単です。IBM CloudポータルにてIBM Log Analysis with LogDNA インスタンスを注文LogDNAのインスタンスにログを送信するようにIKSのワーカーノードにLogDNAエージェント設置LogDNA Web UIで転送されたログの確認※ただし、本番運用を考えるとIAM でユーザー・アクセス権限の設定、FWのポリシーについて考慮も行わなければならないです。今回は評価なのでマスターアカウントでサクッと終わらせます。事前準備２つのワーカーノードをtok02にプロビジョニング、guestbookアプリをデプロイしておきました。$ kubectl get nodes NAME STATUS ROLES AGE VERSION10.212.24.215 Ready 76s v1.13.6+IKS10.212.24.219 Ready 32s v1.13.6+IKS$ kubectl get podNAME READY STATUS RESTARTS AGEguestbook-f7cbbccd7-knhr7 1/1 Running 0 17mguestbook-f7cbbccd7-lzg9r 1/1 Running 0 20m手順1. IBM Log Analysis with LogDNA インスタンスを注文IBM Cloudポータルでカタログ→Developer Toolの順に遷移するとIBM Log Analysis with Log DNAが表示される。注文が完了するとIBM Log Analysis with Log DNAのインスタンスが表示される※IBM Cloudポータルでリソース・リスト→Observability→ Loggingの順に遷移手順2. LogDNAのインスタンスにログを送信するようにIKSのワーカーノードにLogDNAエージェント設置LogDNAの取り込み鍵(Ingestion Key)をKubernetesのSecretとして保管logdna-agent-key=xxxxxxのxxxxxxの箇所に取り込み鍵(Ingestion Key)を記述$ kubectl create secret generic logdna-agent-key --from-literal=logdna-agent-key=xxxxxxsecret/logdna-agent-key created登録したsecretの確認$ kubectl get secret logdna-agent-keyNAME TYPE DATA AGElogdna-agent-key Opaque 1 16sLogDNAエージェントをDaemonSetとしてIKSにデプロイする。$ kubectl create -f createdLogDNAエージェントはワーカーノードに１つづつLogDNAエージェントPodが展開されます。すなわち ワーカーノードの数＝LogDNAエージェントポッドの数になります。今回の場合は２つのワーカーノードがあるので２つのlogdna-agent Podが起動します。$ kubectl get pod -o wideNAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATESguestbook-f7cbbccd7-knhr7 1/1 Running 0 18m 172.30.107.195 10.212.24.219 guestbook-f7cbbccd7-lzg9r 1/1 Running 0 21m 172.30.107.193 10.212.24.219 logdna-agent-5wzbm 1/1 Running 0 46s 172.30.249.205 10.212.24.215 logdna-agent-th5d4 1/1 Running 0 46s 172.30.107.197 10.212.24.219 PodがRunningになるとワーカーノード上のすべてのネームスペースから kube-system ログを含むログを転送します。すべてのコンテナーのStdout と Stderr も自動的に収集されて転送されます。手順3. LogDNA Web UIで転送されたログの確認WebUIにはリアルタイムで生成されているIKSクラスターのログが表示されます。フリープランでは確認できるのは最新のログのみです。ログのフィルタリング、ログの検索、ビューの定義、 アラートの構成の機能を利用するには、 IBM Log Analysis with LogDNAを有料プランにアップグレードする必要があります。有料プランに変更後のLogDNA Web UI画面画面上部で、転送時に設定したtag、転送元ホスト名、アプリ名、ログレベルで絞込みができる画面下部で、文字列検索、日付の絞り込みができるまとめIBM Log Analysis with LogDNAの東京リージョンが開設されたので、勢いで環境を作って見ました。手順を見ていただければ、お分かりの通り、２つのアクションでログのリアルタイム監視ができてしまいます。マウスをクリックして、IBM Log Analysis with LogDNA インスタンスをプロビジョニングkubectlの２つのコマンドで、IKSにログエージェントが展開されて、ログの転送が開始します。IKSの東京リージョンは有料なので、気軽に試すにはIKSのUS-Nouthの無料クラスターが使えます。簡単なのでぜひ試して見てください。#追記(6/5)IBM CloudコミュニティのイベントでLogDNAについてLTしました。IBM Log Analysis with LogDNAを評価した話 #10 これから始めるIBM Cloud相談会(最新技術解説あります！)

Download logdna-agent.exe (LogDNA Agent) - SourceForge

LogDNA is now Mezmo but the product you know and love is here to stay.Now you can replicate and restore account configurations with LogDNA Export Configuration. As an engineer who has set up logging for more than one deployment or environment, you know that you usually have one logging account per deployment. You’ve got plenty of pre-created queries, graphs, and alerts set up specifically for your company’s use case, all of which are vital to you know the health of your infrastructure.Now imagine being responsible for creating and maintaining logging accounts across 10+ deployments. You’d have to manually recreate these saved queries, alerts, graphs, etc, across these 10+ new accounts. This is a painful exercise, not to mention the high chance of human error as you do this manually.Maybe one morning you find that a team member has messed with your alerting setup, but you’re not sure which ones were altered. How can you restore an earlier version of your LogDNA account to ensure alerts are working properly? To tackle this pain, LogDNA is releasing the Export Configuration feature where you can easily recreate all views, boards, alerts, exclusion rules, and parsing templates across new LogDNA accounts. Main use cases: Replicate existing account configuration to multiple new LogDNA accounts across your organizationMove from a staging LogDNA account to a production LogDNA accountRestore account configurationUse our Export Configuration feature to export views, boards, alerts, exclusion rules, and parsing templates into a JSON file and then import this file to a different

logdna/logdna-nxlog: LogDNA NXLog Configuration - GitHub

The next major version of the LogDNA agent is right around the corner, and we’re introducing some significant improvements. Most notably, we’ve completely rewritten the agent using Rust instead of Node.js. As we gear up for the release, we wanted to explain why we chose Rust for the LogDNA agent, the benefits that it offers over other languages, and how it can help you log faster.What is Rust?Rust is a systems programming language that aims to offer both performance and safety. It provides the low-level control of C, but also enforces memory and thread safety. It's applications compile directly into machine code, allowing for highly optimized code and better performance compared to interpreted languages such as JavaScript or Python.Despite being relatively new, Rust is being adopted at an incredible rate. It’s the most loved language by developers according to the Stack Overflow Developer Survey, and it’s the fifth fastest growing language according to GitHub’s State of the Octoverse. What Are the Benefits of Rust?One of Rust’s key strengths is its memory and thread management. While Rust doesn’t have garbage collection like Node.js, Java, Python, and others, the Rust compiler enforces check for invalid memory references, leaks, and other dangerous or undefined behaviors.Rust follows the principle of resource allocation is initialization (RAII), where any resources that must be acquired (such as a file or database connection) are bound to the lifetime of their parent object. This prevents a lot of the traps that C developers fall into, such as dangling pointers, null pointers, and accessing uninitialized memory. It also reduces the risk of memory leaks.When multithreading, Rust requires each thread to own (or borrow) the resources that it wants to access. It also prevents resources from going out of scope until a thread is no longer using them. This avoids race conditions caused by multiple threads accessing the same data, but also prevents one thread from deleting a resource that another thread is using. This blog post explains concurrency in greater detail.Rust provides a package management tool called Cargo. This might not seem like a big deal, since package management is common in languages like Node.js, Python, and Java. But considering that neither C or C++ have universal package management tools, having the ability to automatically resolve dependencies in a systems language is powerful. Instead of having a complex build process, we can simply run cargo build to build the agent. logdna logdna. by: logdna 7.8M Installs logdna/terraform-provider-logdna latest version 1.16.0. Published a year ago Provider Downloads All versions

GitHub - logdna/logdna-winston: LogDNA's Node.js logging

Pino-logdnaTransport pino logs to LogDNApino-logdnaInstallUsagePino v7+ TransportOptionsLegacy TransportCLI OptionsContributingCommit FormatContributors ✨LicenseInstallnpm install --save pino-logdnaUsagePino v7+ TransportThis module can be used as a pino transport:const pino = require('pino')const transport = pino.transport({ target: 'pino-logdna', options: { key // your LogDNA ingestion key }})const log = pino(transport)// Logs will now go to LogDNAlog.info('Happy Logging!')OptionsThis transport uses @logdna/logger under the hood, and most options are exposedthrough pino-logdna.For a full list, please see the createLogger options.An additional option is supported by pino-logdna:emptyMessage - When logging an object without a message,e.g. log.info({ some: 'data' }), the value of this option will be usedfor the outgoing message. Default: ''.Legacy TransportUsage as a legacy transport is still supported. The minimal configuration requires onlyyour LogDNA ingestion key:npm install -g pino-logdnanode ./app.js | pino-logdna --key="YOUR INGESTION KEY"CLI Options can be supplied to the command:node ./app.js | pino-logdna --key "YOUR INGESTION KEY" --env staging --tag foo --tag barCLI OptionsOptions for the CLI are the kebab-case equivalent of the @logdna/logger options:Options: -v, --version Show version -h, --help Show usage information -m, --message-key [msg] The field in the `pino` used as the display line in LogDNA -e, --empty-message [msg] String value to use when no "message" property if found@logdna/logger Options: --key *REQUIRED* Your ingestion key -t, --tag Tag to be added to each message; can be supplied multiple times -T, --timeout [30000] Millisecond timeout for each HTTP request --app [default] Arbitrary app name for labeling each message -E, --env An environment label attached to each message -H, --hostname Hostname for each HTTP request --mac MAC address for each HTTP request --ip IPv4 or IPv6 address for each HTTP request --url URL of the logging server --flush-limit [5000000] Maximum total line lengths before a flush is forced --flush-interval-ms [250] Mseconds to wait before sending the buffer --base-backoff-ms [3000] Minimum exponential backoff time in milliseconds --max-backoff-ms [30000] Maximum exponential backoff time in milliseconds --index-meta [false] Controls whether meta data for each message is searchable -p, --proxy The full URL of an http or https proxy to pass throughContributingThis project is open-sourced, and accepts PRs from the public for bugs or featureenhancements. Please see CONTRIBUTING.md for more information.Commit FormatThe project uses Commitlint and enforces Conventional Commit Standard. Please format your commits based on these guidelines.An issue must be opened in the repository for any bug, feature, or anything else that will have a PR.The commit message must reference the issue with an acceptable action tag in the commit footer, e.g. Fixes: #5.Contributors ✨Thanks goes to these wonderful people (emoji key):This project follows the all-contributors specification. Contributions of any kind welcome!LicenseCopyright © LogDNA, released under an MIT license. See the LICENSE file and Logging!

GitHub - logdna/logdna-cli: The LogDNA CLI allows you to

Tổng quanFrustrated of the bad UI of LogDNA but can't do anything about it?NOW YOU CAN with Customize LogDNA!!Easily change the colors,…Frustrated of the bad UI of LogDNA but can't do anything about it?NOW YOU CAN with Customize LogDNA!!Easily change the colors, font size, background, line height of the logs to make your logs slightly more readable and make your life easier!P.S : keep the settings to dark mode for it to workChi tiếtPhiên bản1.0.0Đã cập nhật2 tháng 4, 2021Kích thước133KiBNgôn ngữNhà phát triểnNgười bán phi thương mạiNhà phát triển này không tự nhận mình là người bán. Đối với người tiêu dùng ở Liên minh Châu Âu, xin lưu ý rằng các quyền của người tiêu dùng không được áp dụng trong hợp đồng giữa bạn và nhà phát triển này.Quyền riêng tưNhà phát triển đã công bố rằng sản phẩm này sẽ không thu thập hoặc sử dụng dữ liệu của bạnNhà phát triển này tuyên bố rằng dữ liệu của bạnKhông được bán cho bên thứ ba, ngoài những trường hợp sử dụng đã được phê duyệtKhông được sử dụng hoặc chuyển nhượng cho các mục đích không liên quan đến chức năng chính của mặt hàngKhông được sử dụng hoặc chuyển nhượng để xác định khả năng thanh toán nợ hoặc phục vụ mục đích cho vayHỗ trợ

Releases logdna/logdna-agent - GitHub

Showing 1 - 20 of 24 Products Azure Log Analytics Azure Monitor | Microsoft Azure Write a Review Visit Website Monitor and analyze applications, infrastructure, and network performance with Azure Monitor to identify problems in real time. Visit Website Google Cloud Logging Cloud Logging | Google Cloud Write a Review Visit Website Cloud Logging empowers customers to manage, analyze, monitor, and gain insights from log data in real time. Visit Website vRealize Log Insight vRealize Log Insight | Log Analysis Tool | VMware Write a Review Visit Website vRealize Log lnsight is a log analysis tool that delivers highly scalable log management with intuitive, actionable dashboards, sophisticated analytics & broad third-party extensibility. Visit Website IBM Cloud Log Analysis IBM Log Analysis with LogDNA - IBM Cloud Write a Review Visit Website Install LogDNA and start seeing your logs in under two minutes. Whether you wish to send logs via Kubernetes, Code libraries, OS agents, or syslog we have hundreds of custom integrations and are adding more each month.Our integrations are meant to be hassle free, and our backend services will automatically detect, parse, and index all log types. Read more Read less Visit Website Elastic Cloud Elastic Cloud: Hosted Elasticsearch, Hosted Search | Elastic Write a Review Visit Website Elastic Cloud is a family of Elasticsearch SaaS offerings — including hosted Elasticsearch, hosted app search, and hosted site search — that make it easy to deploy, operate, and scale Elastic products and solutions in the cloud. Read less Visit Website Grafana Loki Log Aggregation System Write a Review Visit Website Introducing Grafana Loki – the scalable, reliable log aggregation system perfect for businesses of any size. Built to bring order and value to system logs, Grafana Loki works quickly and efficiently to ensure that the massive volumes of information in

GitHub - logdna/logdna-agent: LogDNA Agent streams from log

Of logging and monitoring system and application logs. It provides users with a centralized location to collect, search, and analyze logs from various sources, including servers, containers, applications, and cloud platforms.The comprehensive web application of LogDNA offers a suite of features including live tail, queries, visualization, and alerting through an intuitive interface. Users have the flexibility to filter data by fields, group them by source, and create customized views, graphs, and dashboards.LogDNA’s pricing structure consists of three primary tiers: Community (free), Professional, and Enterprise, each offering different features and limits. Additionally, Mezmo employs a pay-as-you-go pricing model, ensuring users only pay for the resources they utilize.Key FeaturesLogDNA allows users to aggregate logs from multiple sources into a single, centralized platform, making it easier to manage and analyze logs from different environments. It offers real-time log streaming capabilities, enabling users to view and analyze logs as they are generated, facilitating faster troubleshooting and problem resolution. LogDNA provides advanced search and filtering functionalities, allowing users to quickly search through large volumes of logs and filter results based on various criteria such as time, severity, and keywords.Users can create custom dashboards to visualize log data and track key metrics, providing insights into system performance and application behavior.LogDNA offers alerting and notification features, allowing users to set up alerts based on predefined criteria and receive notifications via email, Slack, or other channels when certain events occur.ProsEase of UseReal-Time MonitoringScalabilityCustomizationIntegrationConsWhile LogDNA offers various pricing plans to accommodate different user needs, the cost may become a. logdna logdna. by: logdna 7.8M Installs logdna/terraform-provider-logdna latest version 1.16.0. Published a year ago Provider Downloads All versions Download LogDNA Agent for free. LogDNA Agent streams from log files to your LogDNA account. LogDNA Agent streams from log files to your LogDNA account. Works with Linux, Windows, and macOS Servers.

GitHub - logdna/logdna-cli: The LogDNA CLI allows you to signup

That it benefits from hundreds of plugins, a developer community that is active, and assistance for various input sources and formats. But running this is direct as other solutions that are similar. Extensive setup and configuration are needed for Elasticsearch before being used as an enterprise-scale log management solution. And this is a self-hosted solution primarily. But the company that manages this platform—Elastic—offers cloud-hosted Elasticsearch as a service. Only via third-party providers like Azure and AWS are hosted Kibana and hosted Logstash available. The freeware version of Elastic Stack is limited when it comes to functionality. Features that you would find in the various log management solutions like graphing, reporting, alerting and access control can only be had via a subscription. Elastic Stack is expensive for hosting, and running at an enterprise scale for about just three years can cost about $2,000,000. 8. LogDNA LogDNA is a log management software that is free and can be used to collect as well as monitor log data. Exclusion rules with LogDNA can be used to reduce the volume of log data that needs to be monitored. This makes it a lot simpler to identify significant security events. Charts and graphs are the visualization options available that can be used to monitor log data at a glance. It has team controls, usage reporting, alerts, graphs and charts, exclusion rules, and also collects and monitors log data. You get immediate notifications about any system events with the alerts. The platform is also integrated with services like Webhook, Slack, PagerDuty, as well as other APIs. This way, you can get alerts where your team is most active. The usage reporting gives you updates on log usage and in this way you can easily manage the consumption of resources. Team control gives you many different features that work well for a team. Role-based access, for example, lets you limit access to sensitive data. Here the SSO/SAML user authentication will ensure that protected data is being accessed by authorized users only. It has a vast API library that can be used for integration into other messaging platforms and tools. The powerful exclusion rules are simple and easy to create and customize. The interface is minimalistic so that key insights can be highlighted. The reporting, however, could perhaps be a little easier, especially when it comes to creating custom reports. The freeware trial is only for two weeks for LogDNA. It is a great solution if you want to cut down on manual log processing. The free version offers unlimited hosts and services for a single user. Paid versions begin for up to five users at £1.17 ($1.50) GB every month, and this is for up to five users. It is available on Linux, macOS, and Windows. 9. Datadog Datadog also offers a 14-day free trial and is one of the Splunk alternatives that lets you centrally collect log data from any of the sources. You can collect, search, and filter all your logs using Datadog to identify

LogDNA x StudioPod Media Songs Download: LogDNA x

LogDNA account, allowing you to quickly recreate your configurations across different deployments. To restore account configuration, keep a copy of your exported JSON file and use the ‘replace’ option during import to restore the previous configuration. Make sure you keep a current copy of the exported config file.You can find the Export Configuration feature under the Manage Organization page, under the Account Config section (/manage/profile). Only admins will have access to this feature.Pro tips:You can export from the same account and REPLACE in the same account, but not add. This prevents accidental duplications of views/graphs/etc in the same account. Importing the same config file twice to one account will double up everything that has been exported to the JSON file, except categories.You can’t export alerts without views, because alerts are attached to specific views. You can export views without alerts though. There is a 10-minute timeout between imports to the same account to prevent collisions from multiple team members trying to import to the same account at the same time.If an exported config file is modified in any way, the import will fail. There is no expiration on the JSON file, so feel free to keep a copy to restore your settings if your account configuration ever gets messed with. Log data will NOT be exported through this feature.Click Below to Watch The VideoCheck out the docs here.. logdna logdna. by: logdna 7.8M Installs logdna/terraform-provider-logdna latest version 1.16.0. Published a year ago Provider Downloads All versions Download LogDNA Agent for free. LogDNA Agent streams from log files to your LogDNA account. LogDNA Agent streams from log files to your LogDNA account. Works with Linux, Windows, and macOS Servers.

logdna/logdna-s3: AWS Lambda for logging from S3 into LogDNA - GitHub

From scratch.The advantage of Rust being built in this way is the predictable performance at compile time unlike the JIT compilation and interpreter of Node.js. Performance is clearly why we were drawn to Rust.Why we chose RustThe key benefit that Rust provides is performance. Rust programs are compiled directly into machine code similar to languages such as C/C++, Objective-C, Haskell, and Swift. There’s no virtual machine or interpreter sitting between your code and your computer.In one benchmark comparing REST API performance (using Rocket for Rust and Restify for Node.js), Rust handled 72,000 requests per second compared to Node.js’ 8,000, and used just over 1MB of memory when idle compared to Node.js’ 19MB. In another benchmark comparing web frameworks (nickel for Rust and restana for Node.js), Rust responded to requests nearly 100x faster on average than Node.js.This level of lightweight, high throughput performance is essential for something like a logging agent. It helps us prevent the agent from exhausting system resources and becoming a bottleneck, no matter how many logs it needs to process. You can feel confident knowing that your logs are being sent to LogDNA without affecting the performance of your applications.Another advantage of moving from Node.js to Rust is the shift to a lower level in the stack and dependency on the kernel. The advantage of interacting with the Linux kernel is that our agent can use inotify to monitor changes in the filesystem which relieves the CPU utilization of the active polling for changes in log files.We will share benchmarks and more details about our new agent shortly.