Yogesh Kulkarni’s Post

Do you know about the Splunk tool? Let's get the knowledge. ✔️After reading this blog, 🔥you will get amazing and updated information about the Splunk tool. 👉 https://lnkd.in/dfbUAqTD #splunk #splunktraining #splunktool #software #analysis #SplunkCourse #splunkcertification #igmguru #splunkonlinetraining #splunkdeveloper

We have just released the new Quickwit Grafana Plugin, version 0.3. It's now even easier to query billions of logs or traces sitting on object storage within Grafana Labs 🏇 Here is what’s new: 📊  APM dashboards ⚡ Trace Search and Trace View 🔎  Context View in Explore 🔗  Linking Logs or Spans to Traces The plugin is still relatively new, and any feedback is welcomed! Blog post: https://lnkd.in/eUpK6Pji

Secret weapon in business visibility and resilience… OpenTelemetry provides a single, open standards based set of instrumentation with a consistent data model across spans, metrics, logs WITHOUT proprietary agents. This is a big step forward to simplify the collection, configuration and management of metrics and traces data using Open Telemetry alongside Splunk Universal Forwarders and tools like Deployment Server. https://lnkd.in/eZqPpfEq

Unlock the art of shifting gears between metrics, traces, and logs by further enhancements to Related Content capabilities within Splunk - read about that and more in the bellow blog post: https://lnkd.in/gA7pBVYj

Via SecurityYamato on X: “Splunk4DFIR: A great looking project for easily setting up a Splunk instance with docker to use for DFIR. (evtx, pcap, etc... analysis) Best part is it supports Hayabusa importing and visualization!” https://lnkd.in/d9KxCTXt

🔎 OpenTelemetry 🔎 ❓ Your architeture have any Observability tool? If not, why ❓ I use Datadog because there's a lot of great funcionalities, BUT have a higher cost depending on requests volume, log retention percentage and stuff like that. 🚀 Thinking on cost reduction and not lock vendor, we can use the OpenTelemetry. 😲 With OpenTelemetry, we can share the same span between the log platforms, for example: Datadog, Zipkin, Jaeger, Prometheus, etc.. 🤯 And we not lock to only one vendor. Example: 🟩 Today i use Datadog and dd-trace library(Nodejs) to manage the logs and APM. But if i have a lower budget, i can disable the Datadog and export to a OpenSource Log Vendor using the OpenTelemetry collector. 🟨 Instead you lock your telemetry using libs like dd-trace, you can use the OpenTelemetry and you have the freedom to do the telemetry as you want. 🟧 Using OpenTelemetry, you are able to change the vendor without touch your code, just removing or adding the Exporter on YAML collector file. 🟦 In another post, i will explain how libs like dd-trace create spans to your libraries, how they print your SQL queries in the span and how they get all the infos of your request. Spoiler: Monkey patching Please, take a look on the post images and if you want, i can share you the example on Github. OpenTelemetry #nodejs #OpenTelemetry #software #softwareengineering #apm #logs

I've written a few medium articles related to the Splunk Operator for Kubernetes and how it can be used with Splunk indexers to achieve improved hardware utilisation: - Splunk Operator for Kubernetes (SOK) — Improvements on the indexing tier - https://lnkd.in/guRSbQnG - Splunk Operator for Kubernetes (SOK) — Lessons from our implementation - https://lnkd.in/gq2cfj2f - Splunk Operator for Kubernetes (SOK) — Indexers on K8s, Search Heads outside the K8s cluster - https://lnkd.in/g6A7iYZi

OpenTelemetry now supports profiling, a significant advancement two years after establishing its Profiling SIG. This integration allows developers to inspect application behavior at runtime closely, offering insights into code-level resource utilization. It enables correlation between profiling data and other telemetry signals like logs, metrics, and traces, enhancing observability and understanding of application performance. The initiative is supported by contributions from Elastic and Splunk, aiming to accelerate OpenTelemetry's profiling capabilities. https://lnkd.in/d29qWjjk

Rally, also known as ES Rally, is the benchmarking tool that Elastic® relies on to identify Elasticsearch® performance improvements, regressions, and more. It is run nightly against a nightly build of Elasticsearch. You can also use it to benchmark your Elasticsearch cluster and identify any performance issues related to your setup. If you want to ingest 5TB of data daily, follow this blog post and the entire series to identify how you can ensure that your hardware is capable of this. If your workload is more on the search side, we will also cover that! #elastic #rally #benchmkark #performance #testing

Our Signals migrator from PagerDuty, OpsGenie, and Splunk On-Call is released. And it's open source. https://lnkd.in/etVccGNU Here's what it comes with: 1. It's an interactive CLI that connects to your alerting provider and walks you through mapping your alerting tool to Signals 2. It exports Terraform code so you not only migrate to a modern alternative, you get it as infrastructure as code. 3. For PagerDuty, we've made it so you can map your services in PD as teams in FireHydrant (or if it really is a service, import it into your catalog) 4. Escalation policies, schedules, etc, are all exported as FireHydrant Signals resources There's also a nice Datadog migration script to update your monitors to then point at FireHydrant's Signal endpoints. Signals is an amazing on-call experience, and this tool makes it so much easier to start using it.