Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Log Management, Log Analytics and related technologies.

ChaosSearch Pricing Models Explained

ChaosSearch was built for live analytics at scale on cloud storage. Our architecture was designed for high volume ingestion of streams & analytics at scale via ElasticSearch & Trino API via a stateless fabric that can scale to meet the customers’ scale & latency requirements. Because we don’t store any data, under the hood, ChaosSearch is basically a set of containers that are deployed in cloud compute instances in a dedicated VPC to each customer managed by ChaosSearch.

How to Cut Through SIEM Vendor Nonsense

If you’re in need of new SIEM tooling, it can be more complicated than ever to separate what’s real and what’s spin. Yes, Logz.io is a SIEM vendor. But we have people in our organization with years of cybersecurity experience, and they wanted to share thoughts on how best to address the current market. Our own Matt Hines and Eric Thomas recently hosted a webinar running through what to look out for titled: Keep it SIEM-ple: Debunking Vendor Nonsense. Watch the replay below.

How to monitor Kafka and Confluent Cloud with Elastic Observability

The blog will take you through best practices to observe Kafka-based solutions implemented on Confluent Cloud with Elastic Observability. (To monitor Kafka brokers that are not in Confluent Cloud, I recommend checking out this blog.) We will instrument Kafka applications with Elastic APM, use the Confluent Cloud metrics endpoint to get data about brokers, and pull it all together with a unified Kafka and Confluent Cloud monitoring dashboard in Elastic Observability.

Platform Engineering 101: Origins, Goals, DevOps vs SRE & Best Practices

Platform engineering is the practice of automating infrastructure operations and enabling self-service infrastructure capabilities within collaborative Dev, Ops and QA teams. It involves designing and building platforms, technologies and workflows that enable self-service capabilities to automatically manage, provision and operate complex modern software architecture environments.

Enhancing Datadog Observability with Telemetry Pipelines

Datadog is a powerful observability platform. However, unlocking it’s full potential while managing costs necessitates more than just utilizing its platform, no matter how powerful it may be. It requires a strategic approach to data management. Enter telemetry pipelines, a key to elevating your Datadog experience. Telemetry pipelines offer a toolkit to achieve the essential steps for maximizing the value of your observability investment. The Mezmo Telemetry Pipeline is a great example of such.

Cloud Migrations with Cribl.Cloud

Cribl’s suite of products help you gain the control and confidence you need to successfully migrate to the cloud. With routing, shaping, enriching, and search functionalities, data becomes more manageable and allows you to work more efficiently. By routing data from existing sources to multiple destinations, you can ensure data parity in your new cloud destinations, before turning off your on-premises (or legacy) analytics, monitoring, storage, or database products and tooling.

Four Things That Make Coralogix Unique

SaaS Observability is a busy, competitive marketplace. Alas, it is also a very homogeneous industry. Vendors implement the features that have worked well for their competition, and genuine innovation is rare. At Coralogix, we have no shortage of innovation, so here are four features of Coralogix that nobody else in the observability world has.

Data Centers: The Ultimate Guide To Data Center Cooling & Energy Optimization

Data centers provide a central space to house IT resources required to run applications of any business. To get the best out of data centers, optimizing their performance, scalability, energy efficiency, availability, security and cost-effectiveness is important. Of all those parameters, energy efficiency optimization is one of the most important things organizations must consider, as the consequences of energy-inefficient data centers are significant.