Stormshield and SonicWall are popular firewalls used to monitor network traffic for malicious actors. Firewalls can help detect all kinds of attacks, like brute force logins, DDoS, and SQL Injection, but they just make up a piece of the security puzzle. Most teams will have many other security tools that address different kinds of vulnerabilities and attacks.
It's safe to say that It's safe to say that Kubernetes is the de facto standard for orchestrating containers and the applications running in them. As the standard, a variety of managed services and orchestration options are available to choose from. In this blog post, we're going to take a look at running the Elastic Stack on Azure Kubernetes Service (AKS) using Elastic Cloud on Kubernetes (ECK) as the operator.
When it comes to DevOps, Splunk has a lot to say at .conf20. There’s a lot to digest from new product names to introducing new products to create a complete observability experience. We announced the Splunk Observability Suite, which creates a seamless workflow across monitoring, investigation and troubleshooting tasks. We also extended our portfolio with Splunk Real User Monitoring, which provides front end engineers better insights into performance.
The Elastic Stack (ELK) has been used for observability and security for many years now, so much so that we now offer the two as out-of-the-box solutions. However, identifying issues and finding the root cause is only part of the process. Often, organizations want to integrate the Elastic Stack into their everyday workflows so they can resolve those issues quickly. This typically involves integrating with some form of ticketing/incident tracking framework.
At Splunk, we've been leading the way in observability and helping accelerate the adoption of the OpenTelemetry project. With the trace specification reaching a stable maturity level and several SignalFx Gateway and client library capabilities being upstreamed, we're ready to go all-in while we continue accelerating the growth and adoption of OpenTelemetry beyond the commitments we made last year.
Every business transformation needs a data strategy and the ability to manage increasingly complex environments. And while companies all over the globe are embracing the cloud, this shift has only exacerbated the associated complexity, compounded by the uncertainty brought about by the current global pandemic. You’ve got more data centers and attack surfaces to monitor and secure, in addition to greater unpredictability and risk.
Logs provide valuable information for troubleshooting application performance issues. But as your application scales and generates more logs, sifting through them becomes more difficult. Your logs may not provide enough context or human-readable data for understanding and resolving an issue, or you may need more information to help you interpret the IDs or error codes that application services log by default.
Surveys show that developers spend roughly 25% of their time troubleshooting issues, amounting to over one working day per week! Let’s examine the solutions that will guide your developers to the log insights they need to efficiently troubleshoot issues.
Your log analysis solution works through millions of lines of logs, which makes implementing a machine learning solution essential. Organizations are turning to machine learning log alerts as a replacement or enhancement of their traditional threshold alerts. As service uptime becomes a key differentiator, threshold alerts are only as good as your ability to foresee an issue.
Trend Micro Cloud One is a strong enterprise data security solution for data centers and cloud environments. Trend Micro’s advantages, like most other security tools, lie in its pairing with other security resources. That’s where Logz.io comes in. It brings together disparate data that Trend Micro tracks to create fully summarized dashboards and extremely detailed ones with specific focuses.
