Operations | Monitoring | ITSM | DevOps | Cloud

%term

The Best Elasticsearch Alternatives

Elasticsearch is a distributed search and analytics engine that provides real-time operations and scales Horizontally. This assists users in making quick and effective searches, as well as analyzing, and visualizing huge data volumes. Users commonly commend Elasticsearch for its data indexing and storage capabilities. They highlight its efficiency in indexing text data and its proficiency in managing large data sets for persistence and retrieval.

Cribl Closes $319M Series E Round at a $3.5B Valuation to Revolutionize Enterprise Data Management

I’m so excited to share that Cribl has closed a $319M Series E round! The oversubscribed round was led by GV (Google Ventures), joined by new investor CapitalG along with participation from existing investors GIC, IVP, and CRV. This round values Cribl at $3.5 billion, up 40% from our Series D round in 2022, and includes both primary and secondary.

PID Controllers and InfluxDB: Part 1 - Background

In the fast-evolving chemical industry, maintaining precise control over Chemical reactors like a continuous stirred-tank reactor (CSTRs) is paramount to ensuring optimal performance and product quality. This blog post delves into integrating advanced data tools and techniques to achieve this control. We’ll explore how to leverage InfluxDB, Kafka, and Faust streaming, along with Telegraf, to effectively model and manage a CSTR and its PID controller (Proportional-Integral-Derivative Controller).

Once Again, Logz.io is an Observability Visionary

When Gartner publishes their annual observability industry research, it’s always exciting to find your company named among the most successful and high-profile providers in this space. That’s why Logz.io is thrilled to find itself listed as a Visionary for the third consecutive year in the Gartner Magic Quadrant for Observability Platforms (previously known as the Magic Quadrant for Application Performance Monitoring and Observability).

Topology for Incident Causation and Machine Learning within AIOps

Our thinking and use of topology within AIOps and Observability solutions from Broadcom has advanced significantly in recent years, while solidly building on our innovative domain tools. We’re providing a blog post series to communicate these innovations, advancements, and benefits for IT operations. In this blog post, we continue where the previous blog post left off.

How to quickly gain operational insights using Grafana Cloud monitoring solutions

Grafana Cloud is the easiest way to start collecting and visualizing your telemetry data. With the fully managed, cloud-hosted platform, even novice observability practitioners can get up and running right away — and Grafana Cloud integrations are a big reason why. In this blog post, we’ll dive into the details of Grafana Cloud integrations, including what they are, the kinds of insights they provide, and how Grafana Alloy plays a role.

Understanding the CrowdStrike Incident: Enhancing Security Measures with Microsoft Azure

In today's video, we're diving into the CrowdStrike event and its connection with Microsoft Azure, highlighting the critical lessons learned about risk mitigation in content release. We'll explore how the incident led to Microsoft being blamed and the importance of implementing stronger validation and deployment strategies to prevent similar issues in the future.

Understanding .NET stack traces - A guide for developers

Stack traces are important for debugging and understanding exceptions in.NET applications. They provide detailed information about the error and the call stack when an exception occurs, allowing us as developers to investigate why an error happened. In this post, I'll walk you through the basics of reading.NET stack traces and explore more advanced scenarios, including how multiple types of stack traces can be combined.

AWS EKS 101: When To Use And Tips To Optimize

According to Gartner, 90% of global organizations will run containerized applications in production by 2027. The need for continuous innovation, performance, and availability is driving this shift to meet customer expectations. Kubernetes plays a crucial role in this transformation. It offers a robust open-source platform for managing containerized applications. Yet, ensuring optimal application performance is only possible with observability.