Operations | Monitoring | ITSM | DevOps | Cloud

June 2023

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Logs vs. Events: Exploring the Differences in Application Telemetry Data

What is the difference between logs and events in observability? These two telemetry data types are used for different purposes when it comes to exploring your applications and how your users interact with them. Simply put, logs can be used for troubleshooting and root cause analysis, while events can be used to gain deeper application insights via product analytics. Let's review some application telemetry data definitions for context, then dive into the key differences between logs and events and their use cases. Knowing more about these telemetry data types can help you more effectively use them in your observability strategy.

Improving the Elastic APM UI performance with continuous rollups and service metrics

In today's fast-paced digital landscape, the ability to monitor and optimize application performance is crucial for organizations striving to deliver exceptional user experiences. At Elastic, we recognize the significance of providing our user base with a reliable Observability platform that scales with you as you’re onboarding thousands of services that produce terabytes of data each day.

The power of generative AI for retail and CPG

The retail and consumer packaged goods (CPG) industry has undergone significant transformations due to advancements in technology. Technological innovations have reshaped various aspects of the industry, including customer engagement, inventory optimization, and supply chain management. These innovations have helped drive digital transformation, improve operational efficiency, enhance the customer experience, and promote sustainability.

Empowering Observability Engineers: Using Mezmo to Overcome Critical Challenges

The dynamic nature of the IT landscape poses complex challenges for organizations, necessitating the involvement of observability engineers. These skilled professionals have become indispensable in addressing critical pain points and optimizing system performance. In this blog post, we delve into the challenges observability engineers face and showcase how Mezmo's comprehensive telemetry solution empowers them to overcome these hurdles and achieve optimal results. ‍

Webinar Recap: The Single Pane of Glass Myth

The observability landscape is constantly changing and evolving. Despite this, one question often plagues operations leaders: "How can we consolidate disparate data sources and tools to view system performance comprehensively?" These leaders have sought the answer in a single-pane-of-glass solution. However, as Jason Bloomberg and Buddy Brewer discussed in the Mezmo webinar "Solving the Single Pane of Glass Myth," this idea is more myth than reality.

Data-Led Growth: How FinTechs Win with App Event Analytics

In the rapidly shifting world of financial technology (FinTech), acquiring and retaining new customers to achieve long-term business growth requires a proactive approach to user experience and application performance optimization. As FinTech companies compete against rivals to grow a user base and revolutionize how consumers manage their finances, they increasingly depend on data-driven insights to optimize their mobile applications and deliver exceptional user experiences.

Coralogix vs Elastic Cloud: Support, Pricing, Features & More

With various open source platforms on the market, engineers have to make smart and cost-effective choices for their teams in order to scale. Elastic Cloud, and its flagship product Elasticsearch, are one of several options available, but how do they compare to a full-stack observability platform like Coralogix? This article will provide a complete breakdown between Coralogix and Elastic Cloud, from essential industry features, like logs, metrics and traces, to pricing models and support services.

Streamlining Observability: The Journey Towards Query Language Standardization

One of the most captivating discussions I had at KubeCon Europe 2023 in Amsterdam was about standardization of a query language for observability. This query language standard aims to provide a unified way of querying observability data across logs, metrics, traces, and other relevant signals. The conversation shed light on the pressing need for a standardized approach to overcome the challenges posed by the plethora of query languages currently in use.

Data Independence Day: Taking Back Control of Your Data!

On July 4th we celebrate. We celebrate freedom of movement, freedom of assembly, removal of excessive taxation, and much, much more. But what about digital independence? Removing the tyrannical yoke of control over your observability data. Authoritarian vendors restrict access and movement; they dictate proprietary formatting and even limit what can be commingled with your data, then apply enormous tax burdens (i.e. license fees) just to store your data.

Autonomous Testing: The Top 5 Tools and Their Benefits

Software testing is a rapidly evolving landscape where automation has replaced traditional manual practices significantly in recent years. Artificial intelligence (AI) and machine learning (ML) advancements introduced a groundbreaking approach to software testing known as autonomous testing. This article aims to provide a comprehensive guide on autonomous testing tools, highlighting their benefits, and the top tools available.

Best practices for monitoring CDN logs

By storing copies of your content in geographically distributed servers, content delivery networks (CDNs) enable you to extend the reach of your app without sacrificing performance. CDNs lessen the demand on individual web hosts by increasing the number and regional spread of servers that are able to respond to incoming requests for cached content. As a result, they can deliver web content faster and provide a better experience for your end users.

Leveraging Calico flow logs for enhanced observability

In my previous blog post, I discussed how transitioning from legacy monolithic applications to microservices based applications running on Kubernetes brings a range of benefits, but that it also increases the application’s attack surface. I zoomed in on creating security policies to harden the distributed microservice application, but another key challenge this transition brings is observing and monitoring the workload communication and known and unknown security gaps.

The Future of Logz.io: Simple, Cost-effective Observability

Asaf and I founded Logz.io in 2015 to provide developers with the ultimate open source log management experience. With our product, logging with the ELK Stack was simple, efficient, and automated for the first time – so customers could save engineering costs and accelerate MTTR.

Open-sourcing sysgrok - An AI assistant for analyzing, understanding, and optimizing systems

In this post I will introduce sysgrok, a research prototype in which we are investigating how large language models (LLMs), like OpenAI's GPT models, can be applied to problems in the domains of performance optimization, root cause analysis, and systems engineering. You can find it on GitHub.

Unleash the Potential of Your Log and Event Data, Including AI's Growing Impact

In this Techstrong Learning Experience, Techstrong Research GM Mike Rothman and André Rocha, VP Product & Operations from ChaosSearch, will share insights from a recent Techstrong audience poll on this topic, and discuss the most pressing challenges and solutions, including the inevitable and significant impact of Generative AI.

The lowdown on Loki for log aggregation: 5 demos you don't want to miss

Looking to get started with log aggregation? Or perhaps take your logging game to a whole new, more advanced level? You’ve come to the right place. Grafana Loki is a key component of Grafana Labs’ open and composable Grafana LGTM stack (Loki for logs, Grafana for visualization, Tempo for traces, Mimir for metrics).

The Goal With Every Release: Stay Laser Focused on Driving Value for Customers

As our customers share their frustrations with the volume and growth of their observability data, we’ve got our eyes set on making it easier to manage. Our Spring 4.1 Launch involved enhancements to the Cribl suite of products — Cribl Stream, Cribl Edge, and Cribl Search — that give users more choice and control over their end-to-end observability architecture.

Data Integration: The Techniques, Use Cases, and Benefits You Need to Know

In a world where data is continuously growing, the need for integrated and centralized data is becoming increasingly important. Businesses are becoming more data-intensive, and by 2025, organizations need to leverage the power of their data to make informed decisions and stay competitive. Data integration plays a crucial role in enabling businesses to access, analyze and act on such data, with the data integration market expected to grow at a fast pace of a CAGR of 11.4% in 2027.

Announcing the General Availability of Cloud Monitoring Console's Maintenance Dashboard

Calling all Splunk Cloud Platform admins! At Splunk, we're dedicated to making your lives easier when it comes to managing various aspects of your Splunk Cloud Platform. One critical aspect that requires your attention is maintenance, which directly impacts the operational efficiency of your deployments. As the capabilities of the Splunk Cloud Platform grow, so do the Splunk-initiated updates like upgrades to keep your deployments up-to-date with the latest features and functionality.

3 models for logging with OpenTelemetry and Elastic

Arguably, OpenTelemetry exists to (greatly) increase usage of tracing and metrics among developers. That said, logging will continue to play a critical role in providing flexible, application-specific, event-driven data. Further, OpenTelemetry has the potential to bring added value to existing application logging flows.

Cribl Stream Simplifies Complexity in Multi Cloud Adoption

You may be thinking of investing in multiple cloud vendors to increase redundancy and deal with the complexity of your enterprise requirements. You are not alone. Many enterprises are moving in this direction to take advantage of the options offered by competing cloud vendors. Adopting one major cloud vendor is a complex project that can consume a company for months if not years.

Harnessing an observability solution to gain valuable insights into business operations

In my previous articles, I discussed how to design considerations for observability solutions and how observability can augment your security implementation. In this article, I will discuss how an observability solution can provide valuable insights into your business operations through the collected data from various systems, applications, and services.

AI-Augmented Software Engineering

While Artificial intelligence (AI) has invaded many industries, the IT industry is reaping the benefits of AI in software engineering practices. The traditional method of relying solely on human coders throughout the entire development lifecycle is gradually becoming obsolete. Instead, AI-augmented software engineering has come into the arena to make the software engineering process faster, easier, and more reliable.

Streamlining Data Management for Enterprise Security | SpyCloud

In this customer story, Ryan Sanders, lead security engineer at SpyCloud, shares his experience using Cribl to centralize and store data for account takeover protection and online fraud prevention. Ryan discusses the challenges he faced in managing data across multiple platforms and the solutions Cribl provided. Cribl acts as the Swiss Army knife for observability engineers, empowering them to collect data from various sources and perform custom integrations.

Configuration Management in BindPlane OP

Managing configuration changes within BindPlane OP is a straightforward process when using the newly introduced Rollouts features to deploy your changes. Rollouts provides a user-friendly platform for tweaking configurations, staging modifications, and implementing them across your agent fleet only when you’re satisfied with the changes.

VictoriaMetrics bolsters move from monitoring to observability with VictoriaLogs release

Today we’re happy to announce our new open source, scalable logging solution, VictoriaLogs, which helps users and enterprises expand their current monitoring of applications into a more strategic ‘state of all systems’ enterprise-wide observability. Many existing logging solutions on the market today offer IT professionals a limited window into live operations of databases and clusters.

A User Guide for OpenSearch Dashboards

Over the last decade, log management has been largely dominated by the ELK Stack – a once-open source tool set that collects, processes, stores and analyzes log data. The ‘k’ in the ELK Stack represents Kibana, which is the component engineers use to query and visualize their log data stored in Elasticsearch. Sadly, in January 2021, Elastic decided to close source the ELK Stack, and as a result, OpenSearch was launched by AWS as an open source replacement.

Customers First Always: Cribl's Support Team Shines in Gartner Peer Insights

Easy to implement, effective data management tools that provide fast time to value are the exception rather than the rule, and top-notch support for those tools is also hard to come by. That’s why Cribl prioritizes creating products that make the lives of engineers and systems admins as easy as possible. The reviews on Gartner Peer Insights give us a glimpse into how well we’re holding up our end of the bargain.

Using the Elastic Agent to monitor Amazon ECS and AWS Fargate with Elastic Observability

AWS Fargate is a serverless pay-as-you-go engine used for Amazon Elastic Container Service (ECS) to run Docker containers without having to manage servers or clusters. The goal of Fargate is to containerize your application and specify the OS, CPU and memory, networking, and IAM policies needed for launch. Additionally, AWS Fargate can be used with Elastic Kubernetes Service (EKS) in a similar manner.

Thousands of Customer-Driven Splunk Ideas Help Accelerate Meaningful Innovation

Throughout my career in technology one thing has rung true — customer and end-user feedback is invaluable. And for us here at Splunk, these treasured insights drive product development. By actively listening to customer needs and incorporating feedback, we ensure our solutions truly address the challenges and aspirations of our users, leading to innovation that makes a meaningful impact.

Metadata 101: Definition, Types & Examples

With the volume of data growing rapidly, metadata has become a crucial component in managing and understanding the vast amounts of data that surround us. From search engine optimization to data security and privacy, metadata plays a vital role in various industries. But what exactly is metadata, and how does it impact our daily lives? Let's dive in and explore the world of metadata, its types, and its significance in various fields.

Smart Monitoring and Predictive Analytics for Operations (OT) and Manufacturing

With digitization adopted in many industries, real-time data from manufacturing and operational equipment can be used to monitor and optimize operation - by applying data-driven modeling including machine learning. In this video you learn how you can automatically monitor equipment and connected devices, and apply predictive modeling to optimize operations (OT). With this approach, manufacturers and grid operators reduce downtime and save maintenance cost by scheduling equipment maintenance just when needed, connected consumer and wearable medical devices are monitored remotely, and transportation providers optimize operation of their fleets.

The Evils of Data Debt

In this livestream, Jackie McGuire and I discuss the harmful effects of data debt on observability and security teams. Data debt is a pervasive problem that increases costs and produces poor results across observability and security. Simply put — garbage in equals garbage out. We delve into what data debt is and some long term solutions. You can also subscribe to Cribl’s podcast to listen on the go!

Introduction to Collecting Traces with OpenTelemetry

OpenTelemetry (also abbreviated as OTEL) is an increasingly popular open-source observability platform under the Cloud Native Computing Foundation (CNCF), which is currently the most active project in the CNCF after Kubernetes. It was created to establish a unified and vendor-agnostic way for instrumenting, collecting, and exporting telemetry data for your system and application across traces, logs, and metrics.

Cloud Native Application Observability - Trace-Logs Correlation

There is a brand new feature for Cloud Native Application Observability (formerly known as AppDynamics Cloud) that will reduce the effort it takes to resolve performance issues within business transactions. We are improving modern application troubleshooting by aligning traces that are performing sub-optimally with their associated logs so one can effortlessly discover the root cause. Watch how we quickly identify poor-performing business transactions, their associated traces, and spans, to the relevant logs pertinent to fixing performance issues, never having to switch tools or the context.

Business Observability: Everything Fintech Companies Want to Know

Fintech companies operate in a complex technological and regulatory environment. They rely heavily on cloud-native technologies and microservices architectures to handle financial transactions and data, often at a massive scale. To maximize application reliability, fintech companies need full visibility into their software systems and applications. An agile monitoring solution like observability is crucial to improving performance and user experience.

The 2023 Observability Market Map - Key Trends, Players, and Directions

Cribl has a unique position right in the middle of the observability market, giving us a distinct view of all things security, APM, and log analysis. Observability as a concept has exploded into specialized areas over the past two years, and making sense of the players and market forces, particularly in a difficult macro environment, can be tricky. Let’s break it down.

Stile Education's Best-of-Breed Observability Strategy

"One of the best things we’ve gotten out of ChaosSearch is the ability to keep all of our data in S3. It’s cheap and easy to keep all of our data available and indexed. We can search through it at any time to dig deeper into problems that crop up." Learn more about how the Stile's team can now retain log data indefinitely, versus saving only a week or two of data in Elasticsearch. That change has increased the team’s capacity to use log data to solve business problems, and unlocked new opportunities to discover deeper product insights.

What are Connectors in OpenTelemetry?

The OpenTelemetry Collector plays many different roles in the observability ecosystem. One of its most important roles is that of a telemetry processor. Recent upgrades to the Collector have enhanced its ability to condense, derive, replicate, and reason about telemetry streams. This is achieved with a new class of pipeline components called Connectors.

Getting Your Logs In Order: A Guide to Normalizing with Graylog

If you work with large amounts of log data, you know how challenging it can be to analyze that data and extract meaningful insights. One way to make log analysis easier is to normalize your log messages. In this post, we’ll explain why log message normalization is important and how to do it in Graylog.

Short Descriptions in BindPlane OP

An easy way to write a short description to distinguish between different file types, fields, etc. About ObservIQ: observIQ is developing the unified telemetry platform: a fast, powerful and intuitive next-generation platform built for the modern observability team. Rooted in OpenTelemetry, our platform is designed to help teams reduce, simplify, and standardize their observability data.

Top 10 Log Management Tools in 2023

Log Management tools are crucial for the security and performance of your IT infrastructure. With the right log management system, you can quickly detect and respond to any anomaly or performance issue. Presently, there are numerous log management platforms. Each with its own unique set of features and benefits. While most of these platforms offer industry-standard capabilities, what sets them apart from each other are the stand-out features, pricing, and overall user experience.

Data Lake Architecture & The Future of Log Analytics

Organizations are leveraging log analytics in the cloud for a variety of use cases, including application performance monitoring, troubleshooting cloud services, user behavior analysis, security operations and threat hunting, forensic network investigation, and supporting regulatory compliance initiatives. But with enterprise data growing at astronomical rates, organizations are finding it increasingly costly, complex, and time-consuming to capture, securely store, and efficiently analyze their log data.

Fundamentals of Searching Observability Data: Understanding the Search Process Can Save Time, Complexity, and Money!

On June 28th I will be hosting a webinar, ‘The Fundamentals of Searching Observability Data’. So why should you attend? Because things have, and will continue to change in the way we manage the IT data collected across the enterprise. A recent study shows that enterprises create over 64 zettabytes (ZB) of data, and that number is growing at a 27 percent compound annual growth rate (CAGR). The scary part?

Organizational Change Management Models: 4 Models for Driving Change

Change is hard. Instigating change across an organization can feel nearly impossible. Just ask any executive about a time when they tried implementing new rules or introducing new software across the company, and you’ll hear plenty of horror stories. While many of us know the pitfalls associated with making changes that impact multiple stakeholders, there are ways to do it successfully.

Accelerating Log Management with Logging as a Service

The basic goal of log management is to make log data easy to locate and understand so that users can identify how their services are performing and troubleshoot more quickly. Logging as a Service, or LaaS, takes log management a step further by providing a solution that seamlessly scales and manages your log data via cloud-native architecture.

Everything You Need to Know About Log Management Challenges

Distributed microservices and cloud computing have been game changers for developers and enterprises. These services have helped enterprises develop complex systems easily and deploy apps faster. That being said, these new system architectures have also introduced some modern challenges. For example, monitoring data logs generated across various distributed systems can be problematic.

Federated Data Explained: Empowering Privacy, Innovation & Efficiency

Data is like the oxygen that fuels the digital revolution. While critical and readily available, data becomes dangerous when misused. Leaders and users alike are becoming concerned with how organizations can protect data, especially personal information. It’s a complex and dynamic challenge, making it harder than ever to share data to the extent needed to facilitate innovation and research. To meet these challenges, many organizations are leveraging federated data systems.

Understanding Linux Logs: 16 Linux Log Files You Must be Monitoring

Logging provides a wealth of information about system events, errors, warnings, and activities. When troubleshooting issues, logs can be invaluable for identifying the root cause of problems, understanding the sequence of events leading to an issue, and determining the necessary steps for resolution. By regularly analyzing logs, administrators can identify performance bottlenecks, resource limitations, and abnormal system behavior.

Hello cron job monitoring & alerts, goodbye silent failures

Papertrail has had the ability to alert on searches that match events for years, but what about when they don’t? When a cron job, backup, or other recurring job doesn’t run, it’s not easy to notice the absence of an expected message. But now, Papertrail can do the noticing for you with inactivity alerts. Papertrail inactivity alerts allow you to setup notifications when searches don’t match events.

The Rise of Open Standards in Observability: Highlights from KubeCon

Today’s IT systems are ever more fragmented. It is commonplace to see polyglot systems, written in multiple programming languages, and using a plethora of tools and cloud services as infrastructure building blocks, whether data stores, web proxy or other functions. In this dynamic cloud-native realm, open standards and open specifications have become integral drivers of compatibility, collaboration, and convergence – the Three C’s of Open Standards, if you will.

Understanding Multi Cloud Observability

IT, DevOps, and security teams are figuring out the best ways to manage their complex, ever-growing, ever-changing environments. And one contributing factor to all the complexity is the rise of using multiple cloud services. One cloud service to manage is difficult enough, but adding more to the mix — each with its own interface and set of tools — makes everyone’s job significantly more difficult.

The 5 Best Log Monitoring Tools for 2023

Any web-based business must have effective log monitoring in place to guarantee the efficient operation of its applications and systems. Tools for log monitoring are essential for error detection, performance analysis, and problem-solving. The top five log monitoring tools will be examined in this post, along with their features, prices, advantages, and disadvantages.

Simplifying log data management: Harness the power of flexible routing with Elastic

In Elasticsearch 8.8, we’re introducing the reroute processor in technical preview that makes it possible to send documents, such as logs, to different data streams, according to flexible routing rules. When using Elastic Observability, this gives you more granular control over your data with regard to retention, permissions, and processing with all the potential benefits of the data stream naming scheme. While optimized for data streams, the reroute processor also works with classic indices.

Use CIDR notation queries to filter your network traffic logs

Classless Inter-Domain Routing (CIDR) is the dominant IP addressing scheme in the modern web. By enabling network engineers to create subnets that encapsulate a set range of IP addresses, CIDR facilitates the flexible and efficient allocation of IPs in virtual private clouds (VPCs) and other networks.

8 Tips for Better Logging in Games

Gaming apps are complex systems. They combine multi-function systems, like the game engine, to other resources such as server containers, proxies and CDNs in order to give users a real-time interactive experience. At the same time, managing cross-functional behavior also means that games could generate massive amounts of data, commonly known as logs. You’ll want to turn that data into useful information to help improve game performance.

The First 100 Days With Cribl Stream: Start at the End to Progress Faster

A reference architecture is a lovely document, but they rarely help engineers and architects implement their tools effectively. Most reference architectures offer plenty of suggestions and ideas, but not enough context. We will explore ways to make reference architectures more useful while reducing reliance on the vague and dreaded “It Depends. Cribl has just released its first official reference architecture.

What is TTFB? | Time to first Byte Explained

This video delves into the crucial topic of Time to First Byte (TTFB). Time to First Byte is a vital metric that measures the duration it takes for a user's browser to receive the first byte of data from a web server. By understanding TTFB, you gain valuable insights into the responsiveness and efficiency of your website. Sematext's monitoring tool empowers you to accurately measure and track TTFB across multiple sites without needing local installations.

Setting Up a Data Loop using Cribl Search and Stream Part 2: Configuring Cribl Search

In the second video of our series, we delve into the nuts and bolts of configuring Cribl Search to access the data that we've stored in the S3 bucket. The video guides you step-by-step through the process of configuring the Search S3 dataset provider by using the Stream Data Lake destination as a model for the authentication information. From there, we proceed to walk through the process of creating a Dataset to access the Provider that we've just established. To wrap things up, we demonstrate how to search through the test data that we've previously stored in the S3 bucket.

Coralogix's Cross-Vendor Compatibility To Keep Your Workflow Smooth

Coralogix supports logs, metrics, traces and security data, but some organizations need a multi-vendor strategy to achieve their observability goals, whether it’s developer adoption, or vendor lock-in is preventing them from migrating all of their data. Coralogix offers a set of features that allow customers to bring all of their data into a single flow—across SaaS and hosted solutions.

Rename Fields in BindPlane OP

In this video, learn how to standardize your telemetry using the rename processor in BindPlane OP.#telemetry #observability About ObservIQ: observIQ is developing the unified telemetry platform: a fast, powerful and intuitive next-generation platform built for the modern observability team. Rooted in OpenTelemetry, our platform is designed to help teams reduce, simplify, and standardize their observability data.

Pipelines Full of Context: A GitLab CI/CD Journey

Do you know what version of your software is running in production? How often is that software deployed, and was it deployed right before last week’s p0 incident? What sort of dependencies are being deployed along with that software, and are any of them potential security risks? These are all common observability questions that may be difficult to answer.

Retain logs longer without breaking the bank: Introducing Grafana Cloud Logs Export

Late last year we announced an early access program for Grafana Cloud Logs Export, a feature that allows users to easily export logs from Grafana Cloud to their own cloud-based object storage for long-term archival purposes. We are pleased to announce that the feature is now in public preview for all Grafana Cloud users, including those on the Free tier!

Case Study: Building an Operations Dashboard

Picture a simple E-commerce platform with the following components, each generating logs and metrics. Imagine now the on-call Engineer responsible for this platform, feet up on a Sunday morning watching The Lord of The Rings with a coffee, when suddenly the on-call phone starts to ring! Oh no! It’s a customer phoning, and they report that sometimes, maybe a tenth of the time, the web front end is returning a generic error as they try to complete a workflow.

Webinar Recap: How to Get More Out of Your Log Data

Data explosion is prevalent and impossible to ignore in today’s business landscape, with organizations face a pressing challenge: the ever-increasing volume of log data. As applications, systems, and services generate a torrent of log entries, it becomes crucial to find a way to navigate this sea of information and extract meaningful value from it. How can you turn the overwhelming volume of log data into actionable insights that drive business growth and operational excellence?

The Data Scientist Role Explained: Responsibilities, Skills & Tools

As one of the most innovative, in-demand roles on the market, data scientists are responsible for harnessing the power of data to make valuable predictions and decisions. This blog post takes an in-depth look at what a data scientist does, from mining structured and unstructured data and extracting useful information to using advanced algorithms and technologies like machine learning and artificial intelligence (AI) for decision-making.

Setting Up a Data Loop using Cribl Search and Stream Part 3: Send Data from Cribl Search to Stream

The third video of our series focuses on utilizing Cribl Stream to manage data. The presenter takes us through the process of configuring the Cribl Stream in_cribl_http source in tandem with the Cribl Search send operator to collect data. We are able to witness live data results being sent from Search to Stream. Afterward, we demonstrate creating a Route in Stream to direct the incoming data from Search (via the in_cribl_http) Source to the Data Lake by using the Amazon S3 Data Lake Destination. This step employs a passthrupipeline to ensure that the data is not altered in transit.

Setting Up a Data Loop using Cribl Search and Stream Part 4: Putting it All Together

The final section of our video series showcases how to put the data loop to use with a real-world dataset. We utilize the public domain “Boss of the SOC v3” dataset, which is readily available on GitHub. First, we employ Cribl Search to sift through and explore the BOTSv3 data that is stored in an S3 bucket to locate some specific data.

The SNMP Monitoring Ultimate Guide: Components, Versions & Best Tools To Use Today

Managing and monitoring network devices is essential for ensuring the smooth operation of organizations. For this purpose, organizations prefer using SNMP — Simple Network Management Protocol. SNMP is a standard Internet protocol through which network administrators collect information about the status and performance of these devices and configure them. In this article, we'll dive deeper into SNMP monitoring, exploring its different versions and components.

Accelerate Investigations, Forensics and Audits Using Cribl Search and Amazon S3

In the era of big data, data lakes have emerged as a popular way to store and process massive amounts of data. Fortunately, with Cribl Search and Cribl Stream, you can create a Data Loop to optimize the use of your data lake by saving Search results as part of an investigation. Our four-part video series explains how to set up Cribl Search and Cribl Stream to establish a Data Loop using the Amazon S3 Data Lake destination in Cribl Stream and the Cribl Stream in_cribl_http source.

How to Secure Your CI/CD Pipeline: Best Tips and Practices

CI/CD pipelines have become a cornerstone of agile development, streamlining the software development life cycle. They allow for frequent code integration, fast testing and deployment. Having these processes automated help development teams reduce manual errors, ensure faster time-to-market, and deliver enhancements to end-users. However, they also pose risks that could compromise stability of their development ecosystem.

3 Keys to Maximizing SIEM Value

SIEM has been a crucial component of security systems for nearly two decades. While there’s ample information on operating SIEM solutions out there, guidance on evaluating and managing them effectively is lacking. We’ve noticed many SIEM vendors are taking advantage of this dearth of knowledge and not providing customers with needed value for what they’re buying.

Understanding Kubernetes Logs and Using Them to Improve Cluster Resilience

In the complex world of Kubernetes, logs serve as the backbone of effective monitoring, debugging, and issue diagnosis. They provide indispensable insights into the behavior and performance of individual components within a Kubernetes cluster, such as containers, nodes, and services.

Sematext Update Review Episode 2 | New Product Features

The first half of 2023 has been a fantastic year thus far. We are super excited to share with you some of the newest updates and improvements we have made to your favorite monitoring tools inside of the sematext cloud. Whether you work in DevOps for a multi-billion dollar company or if you are a freelancer who owns an online business, Sematext has the perfect monitoring solution for you. Today, we will discuss our new OpenSearch integration, Changes we have made to Sematext Synthetics for HTTP monitoring, and UI changes we have made to the events tool.

Setting Up a Data Loop using Cribl Search and Stream Part 1: Setting up the Data Lake Destination

In the very first video of the series, we delve into the concept of a data loop and why it is beneficial to use Cribl Search and Cribl Stream to optimize the use of a data lake. The video gives a concise overview of Cribl Search and Cribl Stream, and how they work in tandem to create a data loop. We then provide step-by-step instructions on how to configure the Cribl Stream "Amazon S3 Data Lake" Destination to transfer data from Stream to an S3 bucket that has been optimized specifically for Cribl Search's access. Finally, we demonstrate sending sample data to the S3 bucket and present a before-and-after view of the bucket to showcase the impact of the test data.

Setting Up a Data Loop using Cribl Search and Stream Part 2: Configuring Cribl Search

In the second video of our series, we delve into the nuts and bolts of configuring Cribl Search to access the data that we've stored in the S3 bucket. The video guides you step-by-step through the process of configuring the Search S3 dataset provider by using the Stream Data Lake destination as a model for the authentication information. From there, we proceed to walk through the process of creating a Dataset to access the Provider that we've just established. To wrap things up, we demonstrate how to search through the test data that we've previously stored in the S3 bucket.

Modernize Your SIEM Architecture

Join Ed Bailey from Cribl and John Alves from CyberOne Security as they discuss the struggles faced by many SIEM teams in managing their systems to control costs and extract optimal value from the platform. The prevalence of bad data or an overwhelming amount of data leads to various issues with detections and drives costs higher and higher. It is extremely common to witness a year-over-year cost increase of up to 35%, which is clearly unsustainable.

A Step-by-Step Guide to Standardizing Telemetry with the BindPlane Observability Pipeline

Adding additional attributes to your telemetry not only provides valuable context to your observability pipeline but also enhances the flexibility and precision of your data operations. Consider, for example, the need to route data from specific geographical locations, like the EU, to a designated destination. With a ‘Location’ attribute added to your logs, you can seamlessly achieve this.

Head in the Clouds (ft. Jo Peterson): Experts Dish on Cloud Strategy

Cloud is still a buzzword - but is it getting the attention you want it to get? Yeah, we thought so. The secret is layering in revenue-generating words around cloud to grab the attention it so rightfully deserves. Hear more from Splunker Tom Stoner and Clarify360's Jo Peterson.

Rollouts in BindPlane OP

Learn how easy it is to edit and roll out changes to your configurations, deploying in batches, while also being able to look back at the entire version history. About ObservIQ: observIQ is developing the unified telemetry platform: a fast, powerful and intuitive next-generation platform built for the modern observability team. Rooted in OpenTelemetry, our platform is designed to help teams reduce, simplify, and standardize their observability data.

Unraveling the Log Data Explosion: New Market Research Shows Trends and Challenges

Log data is the most fundamental information unit in our XOps world. It provides a record of every important event. Modern log analysis tools help centralize these logs across all our systems. Log analytics helps engineers understand system behavior, enabling them to search for and pinpoint problems. These tools offer dashboarding capabilities and high-level metrics for system health. Additionally, they can alert us when problems arise.

10 AWS Data Lake Best Practices

A data lake is the perfect solution for storing and accessing your data, and enabling data analytics at scale - but do you know how to make the most of your AWS data lake? In this week’s blog post, we’re offering 10 data lake best practices that can help you optimize your AWS S3 data lake set-up and data management workflows, decrease time-to-insights, reduce costs, and get the most value from your AWS data lake deployment.

The OSI Model in 7 Layers: How It's Used Today

The Open System Interconnection model (OSI Model) is a foundational concept that shapes how we build digital environments. The OSI Model is a conceptual framework that describes how different computer systems communicate with each other inside network or cloud/internet environments. Today, let’s look at how the OSI Model affects our digital lives, applications and networks.

Top 3 SIEM Optimizations - How to Get More From Your Existing Tech Stack

In today’s digital-first world, most security problems are actually data problems, and data volumes are outpacing organizations’ abilities to handle, process, and get value from it. You’ll have 250% more data in five years than you have today, but the chances of your budget increasing to match that are slim. The challenges that come with managing the rise in enterprise data volume directly affect your ability to adequately address cybersecurity risks.

Achieve operational resilience with a flexible data store

Are you prepared for the unexpected? In today's rapidly evolving world, operational resilience has never been more critical for businesses to survive and thrive. Resiliency is the ability of a system to maintain its operations under adverse conditions, including system failures, unexpected surges in user demand, or even security breaches. The heart of many applications, particularly in this era of data-driven decision-making, is the data store or database.