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Sep 29, 2022   |  By Charlie Klein
So far in our series on scaling observability for game launches, we’ve discussed ways to 1) quickly analyze large volumes of telemetry data and, 2) ensure high-quality telemetry data for more effective analysis at lower costs. The best practices in these blogs outline best practices for scaling observability during game launch day – which is necessary to ensure high performance across all infrastructure components – to ensure no lag, no glitches, and no bugs.
Sep 28, 2022   |  By Jonah Kowall
HashiCorp Consul began as an open-source project for service discovery. It has evolved to provide other valuable functionality like secure service mesh to help secure microservice architectures based on service identity, but also the ability to achieve repeatable application deployment lifecycles via Network Infrastructure Automation and control access to the service mesh via Consul API Gateway.These features are considered the four core pillars of Consul service networking.
Sep 27, 2022   |  By Tyler Tracy
If you’re wondering if that classic car you’ve been scoping out on Bring a Trailer or eBay Motors is as authentic as posited by the seller – specifically re: the common claims of “original paint” or “high quality respray” – you’re going to want to take a closer look around the edges. This is because a talented painter can make a second or 30th-hand vehicle look pretty snazzy with a well-affected, if not super high-quality, repaint.
Sep 22, 2022   |  By Charlie Klein
In Part I in our series outlining best practices for scaling observability, we reviewed the data analysis capabilities that can help engineers troubleshoot faster during high pressure situations during a game launch. Nobody wants lag time or crashes in their game launch. Similarly, no one wants terminated sessions or for your gamer customers to log off and play a competitor’s game.
Sep 19, 2022   |  By Arie Fishler
We believe that one of the most powerful capabilities added to the Logz.io Observability Platform in recent months is our new Service Performance Monitoring (SPM) feature set. As you may have seen earlier this year, Logz.io was named a Visionary in the 2022 Gartner® Magic Quadrant(™) for Application Performance Monitoring and Observability. To that end, SPM is a cornerstone for our related solutions.
Sep 15, 2022   |  By Charlie Klein
After months–or potentially, years–of hard work by teams across a gaming enterprise, when the day arrives for a game launch, the last thing your enterprise needs is slowdowns, glitches, outages or poor performance. It’s the death knell for any game, because for your avid gaming customers, there’s always something else (read: a game that isn’t yours) to check out.
Sep 14, 2022   |  By Eric Thomas
Stoking fears about the threat landscape is a popular approach, and one that I don’t particularly care for. Many will tell you that the threat landscape is constantly changing, that threats are getting more complex, and that actors are getting more sophisticated. “The whole world is getting more difficult and scarier, so buy our stuff!” There’s a ton of media sensationalism too, with the popular image of the hacker sitting at a computer, wearing a dark hoodie.
Sep 13, 2022   |  By Jonah Kowall
A goal of open-source observability is unifying several different signals to provide the observability everyone wants. It’s always interesting to speak to people on this journey, and how they try to provide it through open-source projects, and the challenges they can face. I was thrilled to host Pranay Prateek on the most recent episode of the OpenObservability Talks podcast.
Sep 7, 2022   |  By Eric Thomas
One of the biggest buzzwords (or really, buzz acronyms) to pop up in the cybersecurity space in recent years is XDR, or, extended detection and response. The term was coined in 2018 by Nir Zuk, CTO and co-founder of Palo Alto Networks. It was posited as a new way to think about security, where data is taken from several platforms and it gets correlated and analyzed.
Sep 1, 2022   |  By Tamir Michaeli
It’s monitoring time. We all collect metrics from our system and applications to monitor their health, availability and performance. Our metrics are essentially time-series data collected from various endpoints. Then, it is stored in time series specialized databases, and then visualized in the metrics graphs we all know and love.
Dec 9, 2021   |  By logz.io
Watch this Logz.io and the Azure Cloud team webinar to learn about the Logz.io Azure Marketplace native integration. More specifically, about: Collecting logs from Azure resources or applications in minutes with Logz.io — all within the Azure Portal. Integrate Logz.io with Active Directory SSO for access control. Collect their logs through a new “pay for what you use” pricing model — rather than committing to log volumes and plans upfront.
Jul 28, 2021   |  By logz.io
Azure users can now deploy the Logz.io platform directly from the Azure Console with the click of a button. The seamless integration between Azure and Logz.io delivers visibility and monitoring for enterprise organizations developing applications on Azure, providing the specific information needed to streamline code development and achieve business agility.
Apr 8, 2021   |  By logz.io
Logz.io recently announced General Availability for Prometheus-as-a-service. In this webinar, we’ll help Prometheus users understand the advantages of offloading Prometheus metrics storage to Logz.io, as well as unifying metrics alongside logs and traces.
Mar 18, 2021   |  By logz.io
Logz.io Infrastructure Monitoring delivers Prometheus-as-a-service, which centralizes your Prometheus metrics on Logz.io’s scalable cloud platform for storage and analysis and unifies your metrics with logs and traces.
Mar 10, 2021   |  By logz.io
The latest cloud security news from top security professionals.
Jan 28, 2021   |  By logz.io
Logz.io Log Management automatically centralizes, parses, and indexed your log data on Logz.io's high-powered ELK Stack.

Logz.io is an AI-powered log analysis platform that offers the open source ELK Stack as a enterprise-grade cloud service with machine learning technology. Our platform uses AI and and machine-learning algorithms to help DevOps engineers, system administrators, and developers to find critical events in the volumes of information that are now constantly generated in IT environments.

Created by a Check Point veteran and a former algorithm engineer for the Israeli military, the enterprise-grade, cloud platform is built on top of the ELK Stack and provides real-time access to data insights based on the collaborative knowledge of IT executives throughout the world. The ELK Stack -- Elasticsearch, Logstash, and Kibana -- is the world’s most popular open-source log analytics software stack.