Operations | Monitoring | ITSM | DevOps | Cloud

June 2020

Monitoring Zoom Metrics from Your Machine with Logz.io

Like everyone else, my life for the last few months has become a never-ending stream of video calls. With Zoom calls, and the occasional Skype, Google Meet, or Microsoft Teams, becoming the norm I’ve noticed that the fans on my Macbook have been kicking in and sounding like a tiny jet trying to take off.

What Are the Hardest Parts of Kubernetes to Learn?

Many enterprises have already adopted Kubernetes or have a Kubernetes migration plan in place, making it clear that the platform is here to stay. While it provides a lot of benefits to its users, to take advantage of them, you need to thoroughly learn Kubernetes and how it works in production. Typically, the most difficult aspects of Kubernetes are learned through experience solving real-world problems.

Introduction to Kibana Best Practices for Log Search and Visualizations

Kibana is a powerful and flexible tool to search and visualize your logs in Elasticsearch – but only if you know how to use it! Zach Hamilton, a Sales Engineer at Logz.io, has enabled hundreds to be successful with Kibana and will provide his insights for best practices in this webinar. Understanding Kibana’s strengths and quirks can help you more efficiently explore your log data so you can quickly understand what’s happening in your environment.

Automating Security on Your Observability Platform: Cortex XSOAR & Logz.io

Managing a complex microservice-based architecture requires defending multiple endpoints. Automating security covers a vast amount of tools and methodologies, so making sure they all communicate is critical. Additionally, tool sprawl in any aspect of DevOps requires putting automation to good use. The Logz.io Cloud SIEM focuses on identifying threats. To optimize its effectiveness, we have negotiated and built out multiple integrations tying complementary tools together.

The Evolution of Open Source Observability

On May 27, the first OpenObservability Conference was held to bring together leaders, practitioners, and users of leading open source observability tools for sessions on the experiences, strategies, and future of the industry. For the Logz.io team, as long-time proponents of open source, it was rewarding to see everyone come together to explore the challenges and opportunities of open source observability.

Designing an Opensource Observability Stack for Distributed Environments - Tech Strong Conf.

Observability teams today are facing increasing challenges in achieving visibility into the systems they monitor. Kubernetes adds significant complexity to achieving this goal. Open source provides powerful options and comes with serious advantages in cost, agility, and speed. Join Logz.io co-founder Asaf Yigal to learn how you can gain observability into Kubernetes projects with open source tools.

Peaking into your container and infrastructure

Containers get shipped by the thousand, but how do you keep track of the health and status of all those individual compute units? You can do it following the principles behind observability, you can see what’s happening with the infrastructure and the applications using open source tools. In this talk, we’ll describe how easy it is to implement the OSS tools required to get full observability and how that’ll improve your operations and your development cycles.

Deploying a Containerized App in Google GKE

Because of its popularity and widespread adoption, Kubernetes has become the industry’s de facto for deploying a containerized app. Google Kubernetes Engine (GKE) is Google Cloud Products’ (GCP) managed Kubernetes service. It provides out-of-the-box features such as auto-scaling nodes, high-availability clusters, and automatic upgrades of masters and nodes. In addition, it offers the most convenient cluster setup workflow and the best overall developer experience.

Building AIOps Now for the Future

AIOps is a term Gartner invented to describe a general trend of applying AI techniques to IT Operations data sources to provide additional insights and scale to the teams operating today’s complex software system. AIOps is essentially a feature or set of features to analyze, combine, and collect data. Unfortunately, the lack of AI in these solutions often turns many people off, but this promise is still possible.

Shipping AWS Lambda Metrics to Logz.io

Serverless computing has taken off in recent years with more efficient cloud services. AWS Lambda is a great example of this, where provisioning and management of resources happens from the service’s end. You only have to deal with the code. This article will give a brief overview of AWS Lambda in contrast to EC2 instances, then walk through shipping AWS Lambda metrics to Logz.io.

Reduce Monitoring Costs: How to Identify and Filter Unneeded Telemetry Data

To understand what’s going on in their environment, DevOps teams usually ship some combination of logs, metrics and traces—depending on which signals they’re hoping to monitor. Each data type will expose different information about what is happening in a system. However, not all of that information will be helpful on a day-to-day basis, which can rack up unnecessary data storage costs. That should require users start to filter telemetry data across their observability stacks.

Jaeger Essentials: Performance Blitz with Jaeger

I’d like to share some of the best practices we’ve learned on our journey to battle performance issues with the Jaeger tracing tool. Some may say we are experts in logging. We log for a living, and have our log analytics service (which we based on open source ELK Stack) to prove it. We’ve mastered logging to the level where debugging and troubleshooting our system is a no-brainer.

What's New in Elasticsearch 7.7?

Elastic is prepping for Elasticsearch 8.0, but in the meantime is rolling out upgrades and features with Elasticsearch 7.7. The new version introduces asynchronous search as well as changes with Elasticsearch clusters, mapping, SQL enhancements, snapshots and machine learning. This post will cover just a few of the highlights of the new release. Besides asynchronous search, ES 7.7 also introduces multi-class classification, reduced heap usage, inference time features, and better password security.

The First OpenObservability Conference is a Wrap

Last week, the first OpenObservability conference took place. This event had amazing content contributions from open source project leaders, users, and influencers. We’ve seen massive growth and adoption in the open source observability space from the inspiring work being done across tracing, logging, and especially metrics. The new data stores and capabilities are growing at breakneck speed. There are more choices— yet more complexity—than ever before.

The Post-Cloud Evolution: Europe Moves to the Edge

Current cloud investments have been a boost for flexibility and productivity. The challenge is that there is a single point of failure with these platforms, requiring diversity of providers to reduce dependencies. The future of cloud computing will see effects from the ambitions and expansion of cloud providers themselves, as well as potential competition. This is especially true with Amazon, Google, and to a lesser extent Microsoft.